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ORCID28th CIKM 2019: Beijing, China
- Wenwu Zhu, Dacheng Tao, Xueqi Cheng, Peng Cui, Elke A. Rundensteiner, David Carmel, Qi He, Jeffrey Xu Yu:
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. ACM 2019, ISBN 978-1-4503-6976-3
Keynote Address
- Jianping Shi:
Autonomous Driving Towards Mass Production. 1 - Stephen John Maybank:
The Fisher-Rao Metric in Computer Vision. 3 - Jiawei Han:
From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration. 5-6 - Jian Pei
:
Practicing the Art of Data Science. 7
Long - Algorithmic Techniques
- Shao-Heng Ko, Ying-Chun Lin, Hsu-Chao Lai, Wang-Chien Lee, De-Nian Yang:
On VR Spatial Query for Dual Entangled Worlds. 9-18 - Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg:
Sketching Streaming Histogram Elements using Multiple Weighted Factors. 19-28 - Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo, Gonzalo Navarro:
Improved Compressed String Dictionaries. 29-38 - Lei Han, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini:
On Transforming Relevance Scales. 39-48 - Shuai Yang, Xipeng Shen, Min Chi:
Streamline Density Peak Clustering for Practical Adoptions. 49-58
Long - Analyzing Spatio-Temporal Data
- Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye:
Recommendation-based Team Formation for On-demand Taxi-calling Platforms. 59-68 - Tao-Yang Fu, Wang-Chien Lee:
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation. 69-78 - Han Su, Guanglin Cong, Wei Chen, Bolong Zheng, Kai Zheng:
Personalized Route Description Based On Historical Trajectories. 79-88 - Mike Izbicki, Vagelis Papalexakis, Vassilis J. Tsotras:
Geolocating Tweets in any Language at any Location. 89-98 - M. Ashraf Siddiquee, Zeinab Akhavan, Abdullah Mueen:
SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal Detection. 99-108
Long - Biomedical Informatics
- Qingxiong Tan, Andy Jinhua Ma, Mang Ye, Baoyao Yang, Huiqi Deng, Vincent Wai-Sun Wong, Yee-Kit Tse, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Jessica Yuet-Ling Ching, Francis Ka-Leung Chan, Pong C. Yuen:
UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction. 109-118 - Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh:
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. 119-127 - Xiaoyu Li, Buyue Qian, Jishang Wei, Xianli Zhang, Sirui Chen, Qinghua Zheng:
Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation. 129-138 - Zhaopeng Qiu, Xian Wu, Wei Fan:
Question Difficulty Prediction for Multiple Choice Problems in Medical Exams. 139-148 - Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang:
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. 149-158
Long - Computer Vision
- Xiaomin Wang, Junsan Zhang, Leiquan Wang, Philip S. Yu, Jie Zhu, Haisheng Li:
Video-level Multi-model Fusion for Action Recognition. 159-168 - Andrei Boiarov, Eduard Tyantov:
Large Scale Landmark Recognition via Deep Metric Learning. 169-178 - Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao:
Multi-stage Deep Classifier Cascades for Open World Recognition. 179-188 - Manan Shah, Krishnamurthy Viswanathan, Chun-Ta Lu, Ariel Fuxman, Zhen Li, Aleksei Timofeev, Chao Jia, Chen Sun:
Inferring Context from Pixels for Multimodal Image Classification. 189-198 - Mingkun Wang, Dianxi Shi, Naiyang Guan, Wei Yi, Tao Zhang, Zunlin Fan:
Multi-Target Multi-Camera Tracking with Human Body Part Semantic Features. 199-208
Long - Database and System
- Weilong Ren, Xiang Lian, Kambiz Ghazinour:
Efficient Join Processing Over Incomplete Data Streams. 209-218 - Falco Dürsch, Axel Stebner, Fabian Windheuser, Maxi Fischer, Tim Friedrich, Nils Strelow, Tobias Bleifuß, Hazar Harmouch, Lan Jiang, Thorsten Papenbrock, Felix Naumann:
Inclusion Dependency Discovery: An Experimental Evaluation of Thirteen Algorithms. 219-228 - Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar:
Constructing a Comprehensive Events Database from the Web. 229-238 - Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen:
Deploying Hash Tables on Die-Stacked High Bandwidth Memory. 239-248
Long - Domain Adaptation and Transfer Learning
- Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang:
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. 249-258 - Manliang Cao, Xiangdong Zhou, Yiming Xu, Yue Pang, Bo Yao:
Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image Classification. 259-268 - Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu:
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. 269-278 - Pengfei Wei, Yiping Ke:
Knowledge Transfer based on Multiple Manifolds Assumption. 279-287 - Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu:
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. 289-298
Long - E-Commerce and Advertising I
- Yan Qi, Chenliang Li, Han Deng, Min Cai, Yunwei Qi, Yuming Deng:
A Deep Neural Framework for Sales Forecasting in E-Commerce. 299-308 - Yatao Yang, Jun Tan, Hongbo Deng, Zibin Zheng, Yutong Lu, Xiangke Liao:
An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine. 309-318 - Weijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, Ping Li:
AIBox: CTR Prediction Model Training on a Single Node. 319-328 - Bo-Wen Yuan, Jui-Yang Hsia, Mengyuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin:
Improving Ad Click Prediction by Considering Non-displayed Events. 329-338 - Kartik Lakhotia, David Kempe:
Approximation Algorithms for Coordinating Ad Campaigns on Social Networks. 339-348
Long - E-Commerce and Advertising II
- Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao:
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. 349-358 - Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft:
Conversational Product Search Based on Negative Feedback. 359-368 - Jie Zou, Evangelos Kanoulas:
Learning to Ask: Question-based Sequential Bayesian Product Search. 369-378 - Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft:
A Zero Attention Model for Personalized Product Search. 379-388 - Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky:
Learning to Generate Personalized Product Descriptions. 389-398
Long - Network Embedding I
- Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena:
Fast and Accurate Network Embeddings via Very Sparse Random Projection. 399-408 - Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin:
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. 409-418 - Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu:
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. 419-428 - Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Discerning Edge Influence for Network Embedding. 429-438 - Yupeng Luo, Shangsong Liang, Zaiqiao Meng:
Constrained Co-embedding Model for User Profiling in Question Answering Communities. 439-448
Long - Network Embedding II
- Jie Huang, Xin Liu, Yangqiu Song:
Hyper-Path-Based Representation Learning for Hyper-Networks. 449-458 - Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li:
Multi-Hot Compact Network Embedding. 459-468 - Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. 469-478 - Boxin Du, Hanghang Tong:
MrMine: Multi-resolution Multi-network Embedding. 479-488 - Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. 489-498
Long - Graph Nerual Network I
- John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Graph Convolutional Networks with Motif-based Attention. 499-508 - Mengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin, Liqiang Nie:
Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. 509-518 - Wenting Zhao, Zhen Cui, Chunyan Xu, Chengzheng Li, Tong Zhang, Jian Yang:
Hashing Graph Convolution for Node Classification. 519-528 - Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie:
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. 529-538 - Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. 539-548
Long - Graph Nerual Network II
- Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi:
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. 549-558 - Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu:
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. 559-568 - Ming Dong, Bolong Zheng, Nguyen Quoc Viet Hung, Han Su, GuoHui Li:
Multiple Rumor Source Detection with Graph Convolutional Networks. 569-578 - Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. 579-588 - Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. 589-598
Long - Heterogeneous Data
- Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han:
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. 599-608 - Shifu Hou, Yujie Fan, Yiming Zhang, Yanfang Ye, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model. 609-618 - Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. 619-628 - Hao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong:
Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution. 629-638 - Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng:
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. 639-648
Long - Knowledge Graph I
- Xiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu:
EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation. 649-658 - Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou, Ximing Li:
A Fine-grained and Noise-aware Method for Neural Relation Extraction. 659-668 - Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen:
Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. 669-678 - Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang:
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. 679-688 - Viet-Phi Huynh, Paolo Papotti:
A Benchmark for Fact Checking Algorithms Built on Knowledge Bases. 689-698
Long - Knowledge Graph II
- Nikita Bhutani, H. V. Jagadish:
Online Schemaless Querying of Heterogeneous Open Knowledge Bases. 699-708 - Wen Zheng, Ke Zhou:
Enhancing Conversational Dialogue Models with Grounded Knowledge. 709-718 - Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei:
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. 719-728 - Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, Gerhard Weikum:
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. 729-738 - Nikita Bhutani, Xinyi Zheng, H. V. Jagadish:
Learning to Answer Complex Questions over Knowledge Bases with Query Composition. 739-748
Long - Machine Learning Themes I
- Shuo Zhang, Krisztian Balog:
Auto-completion for Data Cells in Relational Tables. 761-770 - Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye:
Author Set Identification via Quasi-Clique Discovery. 771-780 - Vasileios Iosifidis, Eirini Ntoutsi:
AdaFair: Cumulative Fairness Adaptive Boosting. 781-790 - Shan Xu, Xiao Zhang, Shizhong Liao:
New Online Kernel Ridge Regression via Incremental Predictive Sampling. 791-800 - Shizhong Liao, Xiao Zhang:
Online Kernel Selection via Tensor Sketching. 801-810
Long - Machine Learning Themes II
- Holger Trittenbach, Klemens Böhm:
One-Class Active Learning for Outlier Detection with Multiple Subspaces. 811-820 - Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein:
AutoGRD: Model Recommendation Through Graphical Dataset Representation. 821-830 - Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du:
Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. 831-840 - Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran:
CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction. 841-850 - Ziqing Zhang, Cuicui Kang, Gang Xiong, Zhen Li:
Deep Forest with LRRS Feature for Fine-grained Website Fingerprinting with Encrypted SSL/TLS. 851-860
Long - Machine Learning Themes III
- Jian Kang, Hanghang Tong:
N2N: Network Derivative Mining. 861-870 - Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin:
MoBoost: A Self-improvement Framework for Linear-based Hashing. 871-880 - Xiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu:
Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning. 881-890 - Syed Shafat Ali, Tarique Anwar, Ajay Rastogi, Syed Afzal Murtaza Rizvi:
EPA: Exoneration and Prominence based Age for Infection Source Identification. 891-900
Long - Mining in Emerging Applications I
- Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Persuasive Visual Storylines for Promotional Videos. 901-910 - Victor J. Marin, Carlos R. Rivero:
Clustering Recurrent and Semantically Cohesive Program Statements in Introductory Programming Assignments. 911-920 - Ashish Sharma, Koustav Rudra, Niloy Ganguly:
Going Beyond Content Richness: Verified Information Aware Summarization of Crisis-Related Microblogs. 921-930 - Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann:
Declarative User Selection with Soft Constraints. 931-940 - Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu:
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter. 941-950
Long - Mining in Emerging Applications II
- Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, Katrien Verbert:
MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction. 951-960 - Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo:
Discovering Polarized Communities in Signed Networks. 961-970 - Shuai Xiao, Le Guo, Zaifan Jiang, Lei Lv, Yuanbo Chen, Jun Zhu, Shuang Yang:
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing. 971-980 - Parisa Kaghazgaran, Majid Alfifi, James Caverlee:
Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures. 981-990 - Georgios Rizos, Konstantin Hemker, Björn W. Schuller:
Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification. 991-1000
Long - Natural Language Processing I
- Yixuan Cao, Dian Chen, Hongwei Li, Ping Luo:
Nested Relation Extraction with Iterative Neural Network. 1001-1010 - Yun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai:
Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. 1011-1020 - Shiyun Chen, Xin Lin, Yanghua Xiao, Liang He:
Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification. 1021-1030 - Da Yin, Xiao Liu, Xiaojun Wan:
Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis. 1031-1040 - Suhang Wang, Charu C. Aggarwal, Huan Liu:
Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. 1041-1050
Long - Natural Language Processing II
- Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang:
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. 1051-1060 - Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang:
A Semantics Aware Random Forest for Text Classification. 1061-1070 - Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang:
Federated Topic Modeling. 1071-1080 - Heyuan Wang, Ziyi Wu, Junyu Chen:
Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network. 1081-1090 - Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
Sentiment Lexicon Enhanced Neural Sentiment Classification. 1091-1100
Long - Deep Nerual Network I
- Yong Luo, Huaizheng Zhang, Yonggang Wen, Xinwen Zhang:
ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning. 1101-1110 - Shuai Yao, Yuexian Hou, Liangzhu Ge, Zeting Hu:
Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method. 1111-1120 - Yixuan Chen, Jie Sui, Liang Hu, Wei Gong:
Attention-Residual Network with CNN for Rumor Detection. 1121-1130 - Wenjin Yan, Ruixuan Li, Jun Wang, Yuhua Li, Jinyang Wang, Pan Zhou, Xiwu Gu:
Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples. 1131-1140 - Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin:
CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. 1141-1149
Long - Deep Nerual Network II
- Teng Xiao, Shangsong Liang, Zaiqiao Meng:
Dynamic Collaborative Recurrent Learning. 1151-1160 - Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang:
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. 1161-1170 - Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. 1171-1180 - Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu:
Robust Embedded Deep K-means Clustering. 1181-1190
Long - Network Science
- Florian Adriaens, Çigdem Aslay, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt:
Discovering Interesting Cycles in Directed Graphs. 1191-1200 - Seyed-Vahid Sanei-Mehri, Yu Zhang, Ahmet Erdem Sariyüce, Srikanta Tirthapura:
FLEET: Butterfly Estimation from a Bipartite Graph Stream. 1201-1210 - Chen Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Fan Zhang, Xuemin Lin:
Selecting the Optimal Groups: Efficiently Computing Skyline k-Cliques. 1211-1220 - Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. 1221-1230 - Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Adaptive Algorithms for Estimating Betweenness and k-path Centralities. 1231-1240
Long - Online and Real-Time
- Wenmian Yang, Weijia Jia, Wenyuan Gao, Xiaojie Zhou, Yutao Luo:
Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments. 1241-1250 - Qingyuan Gong, Jiayun Zhang, Yang Chen, Qi Li, Yu Xiao, Xin Wang, Pan Hui:
Detecting Malicious Accounts in Online Developer Communities Using Deep Learning. 1251-1260 - Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu:
Exploring Multi-Objective Exercise Recommendations in Online Education Systems. 1261-1270 - Subhabrata Dutta, Dipankar Das, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Tanmoy Chakraborty:
Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion. 1271-1280 - Jason Ingyu Choi, Ali Ahmadvand, Eugene Agichtein:
Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems. 1281-1290
Long - Privacy
- Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. 1291-1300 - Jianchao Tang, Shaojing Fu, Ming Xu, Yuchuan Luo, Kai Huang:
Achieve Privacy-Preserving Truth Discovery in Crowdsensing Systems. 1301-1310 - Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. 1311-1320 - Chandan Biswas, Debasis Ganguly, Dwaipayan Roy, Ujjwal Bhattacharya:
Privacy Preserving Approximate K-means Clustering. 1321-1330 - Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
Practical Access Pattern Privacy by Combining PIR and Oblivious Shuffle. 1331-1340
Long - Question Answering and Dialogue Systems I
- Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu:
A Hybrid Retrieval-Generation Neural Conversation Model. 1341-1350 - Yanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang:
A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses. 1351-1360 - Xinyu Duan, Yating Zhang, Lin Yuan, Xin Zhou, Xiaozhong Liu, Tianyi Wang, Ruocheng Wang, Qiong Zhang, Changlong Sun, Fei Wu:
Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning. 1361-1370 - Ali Ahmadvand, Harshita Sahijwani, Jason Ingyu Choi, Eugene Agichtein:
ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents. 1371-1380 - Xinbo Zhang, Lei Zou, Sen Hu:
An Interactive Mechanism to Improve Question Answering Systems via Feedback. 1381-1390
Long - Question Answering and Dialogue Systems II
- Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. 1391-1400 - Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu:
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. 1401-1410 - Julien Romero, Simon Razniewski, Koninika Pal, Jeff Z. Pan, Archit Sakhadeo, Gerhard Weikum:
Commonsense Properties from Query Logs and Question Answering Forums. 1411-1420 - Avikalp Srivastava, Hsin Wen Liu, Sumio Fujita:
Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms. 1421-1430 - Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez:
Message Passing for Complex Question Answering over Knowledge Graphs. 1431-1440
Long - Recommendation System I
- Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang:
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. 1441-1450 - Shaoyun Shi, Min Zhang, Xinxing Yu, Yongfeng Zhang, Bin Hao, Yiqun Liu, Shaoping Ma:
Adaptive Feature Sampling for Recommendation with Missing Content Feature Values. 1451-1460 - Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
A Dynamic Co-attention Network for Session-based Recommendation. 1461-1470 - Di You, Nguyen Vo, Kyumin Lee, Qiang Liu:
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation. 1471-1480 - Yun He, Jianling Wang, Wei Niu, James Caverlee:
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. 1481-1490
Long - Recommendation System II
- Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, Guojun Wang:
HAES: A New Hybrid Approach for Movie Recommendation with Elastic Serendipity. 1503-1512 - Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li:
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. 1513-1522 - Wang-Cheng Kang, Julian John McAuley:
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. 1523-1532 - Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng:
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. 1533-1542 - Kyeongpil Kang, Junwoo Park, Wooyoung Kim, Hojung Choe, Jaegul Choo:
Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling. 1543-1552
Long - Recommendation System III
- Taofeng Xue, Beihong Jin, Beibei Li, Weiqing Wang, Qi Zhang, Sihua Tian:
A Spatio-temporal Recommender System for On-demand Cinemas. 1553-1562 - SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu:
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. 1563-1572 - Haifeng Xia, Zengmao Wang, Bo Du, Lefei Zhang, Shuai Chen, Gang Chun:
Leveraging Ratings and Reviews with Gating Mechanism for Recommendation. 1573-1582 - Yin Zhang, James Caverlee:
Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence. 1583-1592 - Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen:
What Can History Tell Us? 1593-1602
Long - Reinforcement Learning
- Junqi Zhang, Jiaxin Mao, Yiqun Liu, Ruizhe Zhang, Min Zhang, Shaoping Ma, Jun Xu, Qi Tian:
Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning. 1603-1612 - Si Shi, Jianjun Li, Guohui Li, Peng Pan:
A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management. 1613-1622 - Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. 1623-1632 - Junwei Lu, Chaoqi Yang, Xiaofeng Gao, Liubin Wang, Changcheng Li, Guihai Chen:
Reinforcement Learning with Sequential Information Clustering in Real-Time Bidding. 1633-1641 - Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. 1643-1652
Long - Search & Retrieval
- Suppanut Pothirattanachaikul, Takehiro Yamamoto, Yusuke Yamamoto, Masatoshi Yoshikawa:
Analyzing the Effects of Document's Opinion and Credibility on Search Behaviors and Belief Dynamics. 1653-1662 - Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor:
Identifying Facet Mismatches In Search Via Micrographs. 1663-1672 - Minjia Zhang, Yuxiong He:
GRIP: Multi-Store Capacity-Optimized High-Performance Nearest Neighbor Search for Vector Search Engine. 1673-1682 - Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Qingyao Ai, Yufei Huang, Min Zhang, Shaoping Ma:
Improving Web Image Search with Contextual Information. 1683-1692 - Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang:
Dynamic Bayesian Metric Learning for Personalized Product Search. 1693-1702
Long - Sequential Data Analysis
- Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu:
Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. 1703-1712 - Jidong Yuan, Qianhong Lin, Wei Zhang, Zhihai Wang:
Locally Slope-based Dynamic Time Warping for Time Series Classification. 1713-1722 - Yi Cao, Weifeng Zhang, Bo Song, Congfu Xu:
HiCAN: Hierarchical Convolutional Attention Network for Sequence Modeling. 1723-1732 - Kouki Kawabata, Yasuko Matsubara, Yasushi Sakurai:
Automatic Sequential Pattern Mining in Data Streams. 1733-1742 - Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. 1743-1752
Long - Social Network
- Adit Krishnan, Hari Cheruvu, Tao Cheng, Hari Sundaram:
A Modular Adversarial Approach to Social Recommendation. 1753-1762 - Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang:
Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities. 1763-1772 - Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Wang-Chien Lee, Philip S. Yu:
Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization. 1773-1782 - Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen:
Tracking Top-k Influential Users with Relative Errors. 1783-1792 - Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan:
NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network. 1793-1802
Long - Understanding and Interpretability I
- Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang:
In2Rec: Influence-based Interpretable Recommendation. 1803-1812 - Zhendong Chu, Renqin Cai, Hongning Wang:
Accounting for Temporal Dynamics in Document Streams. 1813-1822 - Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers:
How Does BERT Answer Questions?: A Layer-Wise Analysis of Transformer Representations. 1823-1832 - Mustafa Abualsaud, Mark D. Smucker:
Patterns of Search Result Examination: Query to First Action. 1833-1842 - Jiashu Zhao, Hongshen Chen, Dawei Yin:
A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding. 1843-1852
Long - Understanding and Interpretability II
- Chenxiao Xu, Hao Huang, Shinjae Yoo:
Scalable Causal Graph Learning through a Deep Neural Network. 1853-1862 - Babak Hosseini, Barbara Hammer:
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. 1863-1872 - Chen Qian, Lijie Wen, Akhil Kumar:
BePT: A Behavior-based Process Translator for Interpreting and Understanding Process Models. 1873-1882 - Ran Le, Wenpeng Hu, Yang Song, Tao Zhang, Dongyan Zhao, Rui Yan:
Towards Effective and Interpretable Person-Job Fitting. 1883-1892 - Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Leveraging Graph Neighborhoods for Efficient Inference. 1893-1902
Long - Urban Computing I
- Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu:
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. 1903-1912 - Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li:
CoLight: Learning Network-level Cooperation for Traffic Signal Control. 1913-1922 - Ning Wu, Jingyuan Wang, Wayne Xin Zhao, Yang Jin:
Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation. 1923-1932 - Yige Zhang, Weixiong Rao, Kun Zhang, Mingxuan Yuan, Jia Zeng:
PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network. 1933-1942 - Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse:
Active Collaborative Sensing for Energy Breakdown. 1943-1952
Long - Urban Computing II
- Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du:
Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model. 1953-1962 - Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li:
Learning Phase Competition for Traffic Signal Control. 1963-1972 - Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick:
Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. 1973-1982 - Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. 1983-1992 - Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li:
Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. 1993-2002
Long - User Behavior
- Chenxi Qiu, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer:
Rating Mechanisms for Sustainability of Crowdsourcing Platforms. 2003-2012 - Huan Yang, Tianyuan Liu, Yuqing Sun, Elisa Bertino:
Exploring The Interaction Effects for Temporal Spatial Behavior Prediction. 2013-2022 - Shawn M. Jones, Michele C. Weigle, Michael L. Nelson:
Social Cards Probably Provide For Better Understanding Of Web Archive Collections. 2023-2032 - Prasha Shrestha, Suraj Maharjan, Dustin Arendt, Svitlana Volkova:
Learning from Dynamic User Interaction Graphs to Forecast Diverse Social Behavior. 2033-2042 - Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu:
Understanding Default Behavior in Online Lending. 2043-2052
Short - Interpretability & Reasoning
- Ya-Lin Zhang, Longfei Li:
Interpretable MTL from Heterogeneous Domains using Boosted Tree. 2053-2056 - Ao Liu, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu:
Machine Reading Comprehension: Matching and Orders. 2057-2060 - Yufei Tian, Jianfei Yu, Jing Jiang:
Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder. 2061-2064 - Pan Hu, Jacopo Urbani, Boris Motik, Ian Horrocks:
Datalog Reasoning over Compressed RDF Knowledge Bases. 2065-2068 - Jionghao Lin, Shirui Pan, Cheng Siong Lee, Sharon L. Oviatt:
An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. 2069-2072
Short - Machine Learning
- Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang:
MarlRank: Multi-agent Reinforced Learning to Rank. 2073-2076 - Diandian Gu, Ziniu Hu, Shangchen Du, Yun Ma:
LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer Learning. 2077-2080 - Zhifei Pang, Sai Wu, Dongxiang Zhang, Yunjun Gao, Gang Chen:
NAD: Neural Network Aided Design for Textile Pattern Generation. 2081-2084 - Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen:
Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm. 2085-2088 - Congjie Gao, Yongjun Li, Jiaqi Yang:
Fine-Grained Geolocalization of User-Generated Short Text based on Weight Probability Model. 2089-2092 - Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung:
A Compare-Aggregate Model with Latent Clustering for Answer Selection. 2093-2096
Short - Embeddings
- Pei-Chi Wang, Cheng-Te Li:
Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding. 2097-2100 - Jun Wu, Jingrui He:
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy. 2101-2104 - Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk:
Tensor Decomposition-based Node Embedding. 2105-2108 - Negar Arabzadeh, Fattane Zarrinkalam, Jelena Jovanovic, Ebrahim Bagheri:
Geometric Estimation of Specificity within Embedding Spaces. 2109-2112 - Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla:
Similarity-Aware Network Embedding with Self-Paced Learning. 2113-2116 - Hansheng Xue, Jiajie Peng, Jiying Li, Xuequn Shang:
Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding. 2117-2120
Short - Time Sequences & Dynamics
- Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. 2121-2124 - He Li, Hang Yuan, Jianbin Huang:
Real-time Edge Repartitioning for Dynamic Graph. 2125-2128 - Siteng Huang, Donglin Wang, Xuehan Wu, Ao Tang:
DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting. 2129-2132 - Qiangxing Tian, Jinxin Liu, Donglin Wang, Ao Tang:
Time Series Prediction with Interpretable Data Reconstruction. 2133-2136 - Zhining Liu, Dawei Zhou, Jingrui He:
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks. 2137-2140 - Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla:
Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. 2141-2144
Short - Graph Neural Networks
- Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen:
Knowledge-aware Textual Entailment with Graph Attention Network. 2145-2148 - Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Fast Approximations of Betweenness Centrality with Graph Neural Networks. 2149-2152 - Zhitao Wang, Yu Lei, Wenjie Li:
Neighborhood Interaction Attention Network for Link Prediction. 2153-2156 - Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du:
Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. 2157-2160 - Yiying Yang, Zhongyu Wei, Qin Chen, Libo Wu:
Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks. 2161-2164 - Cheng Zhao, Chenliang Li, Cong Fu:
Cross-Domain Recommendation via Preference Propagation GraphNet. 2165-2168
Short - Recommendation
- Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
ARP: Aspect-aware Neural Review Rating Prediction. 2169-2172 - An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. 2173-2176 - Huiyuan Chen, Jing Li:
Data Poisoning Attacks on Cross-domain Recommendation. 2177-2180 - Bo Song, Yi Cao, Weifeng Zhang, Congfu Xu:
Session-based Recommendation with Hierarchical Memory Networks. 2181-2184 - Ruey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W. Bruce Croft:
Correcting for Recency Bias in Job Recommendation. 2185-2188 - Huan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee:
Motif Enhanced Recommendation over Heterogeneous Information Network. 2189-2192
Short - Algorithm
- Antonio Mallia, Michal Siedlaczek, Torsten Suel, Mohamed Zahran:
GPU-Accelerated Decoding of Integer Lists. 2193-2196 - Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Synergizing Local and Global Models for Matrix Approximation. 2197-2200 - Zineng Tang:
Deep Colorization by Variation. 2201-2204 - Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda:
Fast Random Forest Algorithm via Incremental Upper Bound. 2205-2208 - Xu Liu, Jingrui He, Sam Duddy, Liz O'Sullivan:
Convolution-Consistent Collective Matrix Completion. 2209-2212 - Qi Dong, Jiping Zheng:
Faster Algorithms for k-Regret Minimizing Sets via Monotonicity and Sampling. 2213-2216 - Kevin Roitero, Andrea Brunello, Julián Urbano, Stefano Mizzaro:
Towards Stochastic Simulations of Relevance Profiles. 2217-2220
Short - Anomaly Detection
- Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. 2233-2236 - Qianzhen Zhang, Deke Guo, Xiang Zhao, Aibo Guo:
On Continuously Matching of Evolving Graph Patterns. 2237-2240 - Won-Seok Hwang, Jeong-Han Yun, Jonguk Kim, HyoungChun Kim:
Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling. 2241-2244 - Ioana Giurgiu, Anika Schumann:
Additive Explanations for Anomalies Detected from Multivariate Temporal Data. 2245-2248 - Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan:
ED2: A Case for Active Learning in Error Detection. 2249-2252 - Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie:
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. 2253-2256
Short - Recognition
- Jun Xiao, Yuanxing Zhang, Pengyu Zhao, Kecheng Xiao, Kaigui Bian, Chunli Zhang, Wei Yan:
Multi-view Moments Embedding Network for 3D Shape Recognition. 2257-2260 - Ning Gao, Nikos Karampatziakis, Rahul Potharaju, Silviu Cucerzan:
Active Entity Recognition in Low Resource Settings. 2261-2264 - Kai Li, Martin Renqiang Min, Bing Bai, Yun Fu, Hans Peter Graf:
On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability. 2265-2268 - Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li:
Exploiting Multiple Embeddings for Chinese Named Entity Recognition. 2269-2272 - Yunze Gao, Yingying Chen, Jinqiao Wang, Hanqing Lu:
Gate-based Bidirectional Interactive Decoding Network for Scene Text Recognition. 2273-2276 - Yue Yu, Siyao Peng, Grace Hui Yang:
Modeling Long-Range Context for Concurrent Dialogue Acts Recognition. 2277-2280
Short - Urbanism and Mobility
- Denis Shaposhnikov, Anastasia A. Bezzubtseva, Ekaterina Gladkikh, Alexey Drutsa:
Labelling for Venue Visit Detection by Matching Wi-Fi Hotspots with Businesses. 2281-2284 - Kai Li, Fei Yu, Cheng Feng, Tian Xia:
Heterogeneous Components Fusion Network for Load Forecasting of Charging Stations. 2285-2288 - Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li:
Learning Traffic Signal Control from Demonstrations. 2289-2292 - Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu, Zheng Yang:
Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. 2293-2296 - Di Wu, Hao Wang, Razak Seidu:
Collaborative Analysis for Computational Risk in Urban Water Supply Systems. 2297-2300 - Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian:
Long- and Short-term Preference Learning for Next POI Recommendation. 2301-2304
Short - Information Retrieval
- Eilon Sheetrit, Oren Kurland:
Cluster-Based Focused Retrieval. 2305-2308 - Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang:
Cross-modal Image-Text Retrieval with Multitask Learning. 2309-2312 - Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng, Jinwen Tian:
A Unified Generation-Retrieval Framework for Image Captioning. 2313-2316 - Shuni Gao, Jipeng Liu, Xiaoguang Liu, Gang Wang:
A Lossy Compression Method on Positional Index for Efficient and Effective Retrieval. 2317-2320 - Jia-Chen Gu, Zhen-Hua Ling, Quan Liu:
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. 2321-2324 - Saar Kuzi, Sahiti Labhishetty, Shubhra Kanti Karmaker Santu, Prasad Pradip Joshi, ChengXiang Zhai:
Analysis of Adaptive Training for Learning to Rank in Information Retrieval. 2325-2328
Short - E-commerce & Production
- Panpan Wang, Zhao Li, Yazhou Zhang, Yuexian Hou, Liangzhu Ge:
QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation. 2329-2332 - Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
A Study of Context Dependencies in Multi-page Product Search. 2333-2336 - Zhenxin Fu, Feng Ji, Wenpeng Hu, Wei Zhou, Dongyan Zhao, Haiqing Chen, Rui Yan:
Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce. 2337-2340 - Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Review Rating Prediction with User and Product Memory. 2341-2344 - Saurav Manchanda, Mohit Sharma, George Karypis:
Intent Term Weighting in E-commerce Queries. 2345-2348 - Hongshen Chen, Jiashu Zhao, Dawei Yin:
Fine-Grained Product Categorization in E-commerce. 2349-2352
Short - Classification
- Miao Fan, Yeqi Bai, Mingming Sun, Ping Li:
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. 2353-2356 - Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng:
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. 2357-2360 - Shanchan Wu, Yifan He:
Enriching Pre-trained Language Model with Entity Information for Relation Classification. 2361-2364 - Ömer Gözüaçik, Alican Büyükçakir, Hamed R. Bonab, Fazli Can:
Unsupervised Concept Drift Detection with a Discriminative Classifier. 2365-2368 - Kunho Kim, Shaurya Rohatgi, C. Lee Giles:
Hybrid Deep Pairwise Classification for Author Name Disambiguation. 2369-2372 - Marius Pasca:
Approximate Definitional Constructs as Lightweight Evidence for Detecting Classes Among Wikipedia Articles. 2373-2376
Short - Knowledge Extraction & Generation
- Zhaoyu Zhang, Changwei Luo, Jun Yu:
Towards the Gradient Vanishing, Divergence Mismatching and Mode Collapse of Generative Adversarial Nets. 2377-2380 - Yuanxin Liu, Zheng Lin, Fenglin Liu, Qinyun Dai, Weiping Wang:
Generating Paraphrase with Topic as Prior Knowledge. 2381-2384 - Yingchi Liu, Quanzhi Li, Xiaozhong Liu, Qiong Zhang, Luo Si:
Sexual Harassment Story Classification and Key Information Identification. 2385-2388 - Hui Liu, Xiaojun Wan:
Neural Review Summarization Leveraging User and Product Information. 2389-2392 - Jiangnan Xia, Chen Wu, Ming Yan:
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. 2393-2396
Short - Health & Sentiment
- Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu:
DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. 2397-2400 - Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie:
Neural Gender Prediction in Microblogging with Emotion-aware User Representation. 2401-2404 - Jimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini:
Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods. 2405-2408 - Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
NICE: Neural In-Hospital Cost Estimation from Medical Records. 2409-2412 - Yunjie Wang, Hui Li, Chen Lin:
Modeling Sentiment Evolution for Social Incidents. 2413-2416
Short - Theory
- Rui Zhang, Hanghang Tong, Yifan Hu:
Adaptive Feature Redundancy Minimization. 2417-2420 - Sourav Dutta, Juho Lauri:
Finding a Maximum Clique in Dense Graphs via χ2 Statistics. 2421-2424 - Yu Wang, Somit Gupta, Jiannan Lu, Ali Mahmoudzadeh, Sophia Liu:
On Heavy-user Bias in A/B Testing. 2425-2428 - Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei:
Adversarial Training of Gradient-Boosted Decision Trees. 2429-2432 - Xingyu Cai, Jinfeng Yi, Fan Zhang, Sanguthevar Rajasekaran:
Adversarial Structured Neural Network Pruning. 2433-2436 - Timothy van Bremen, Anton Dries, Jean Christoph Jung:
Ontology-Mediated Queries over Probabilistic Data via Probabilistic Logic Programming. 2437-2440
Short - Search
- Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li:
Query Embedding Learning for Context-based Social Search. 2441-2444 - Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu:
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation. 2445-2448 - Souvick Ghosh, Chirag Shah:
Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks. 2449-2452 - Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu:
Best Co-Located Community Search in Attributed Networks. 2453-2456 - Erman Yafay, Ismail Sengor Altingovde:
Caching Scores for Faster Query Processing with Dynamic Pruning in Search Engines. 2457-2460 - Jiaxin Mao, Damiano Spina, Sargol Sadeghi, Falk Scholer, Mark Sanderson:
Investigating the Learning Process in Job Search: A Longitudinal Study. 2461-2464
Short - System & Database
- Lailong Luo, Deke Guo, Ori Rottenstreich, Richard T. B. Ma, Xueshan Luo:
Set Reconciliation with Cuckoo Filters. 2465-2468 - Alessio Conte, Donatella Firmani, Maurizio Patrignani, Riccardo Torlone:
Shared-Nothing Distributed Enumeration of 2-Plexes. 2469-2472 - Roel Apfelbaum:
Estimating the Number of Distinct Items in a Database by Sampling. 2473-2476 - Yuxing Chen, Jiaheng Lu, Chen Chen, Mohammad Ashraful Hoque, Sasu Tarkoma:
Cost-effective Resource Provisioning for Spark Workloads. 2477-2480 - Salman Salloum, Yinxu Wu, Joshua Zhexue Huang:
A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters. 2481-2484 - Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions. 2485-2488
Applied - E-commerce
- Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin:
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance. 2489-2497 - Yusi Zhang, Zhi Yang, Liang Wang, Li He:
Autor3: Automated Real-time Ranking with Reinforcement Learning in E-commerce Sponsored Search Advertising. 2499-2507 - Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao:
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. 2509-2515 - Xusheng Luo, Yonghua Yang, Kenny Qili Zhu, Yu Gong, Keping Yang:
Conceptualize and Infer User Needs in E-commerce. 2517-2525 - Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. 2527-2535
Applied - Graph Applications
- Hao Huang, Shinjae Yoo, Yunwen Xu:
System Deterioration Detection and Root Cause Learning on Time Series Graphs. 2537-2545 - Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang:
A Dynamic Default Prediction Framework for Networked-guarantee Loans. 2547-2555 - Morelle Arian, Eliran Abutbul, Michal Aharon, Yair Koren, Oren Somekh, Rotem Stram:
Feature Enhancement via User Similarities Networks for Improved Click Prediction in Yahoo Gemini Native. 2557-2565 - Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin:
Large-Scale Visual Search with Binary Distributed Graph at Alibaba. 2567-2575 - Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. 2577-2584
Applied - Recommendation and Advertising
- Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai:
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. 2585-2593 - Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning Adaptive Display Exposure for Real-Time Advertising. 2595-2603 - Zhichen Zhao, Lei Li, Bowen Zhang, Meng Wang, Yuning Jiang, Li Xu, Fengkun Wang, Wei-Ying Ma:
What You Look Matters?: Offline Evaluation of Advertising Creatives for Cold-start Problem. 2605-2613 - Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Huan Zhao, Pipei Huang, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee:
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. 2615-2623 - Shivani Rao, Konstantin Salomatin, Gungor Polatkan, Mahesh Joshi, Sneha Chaudhari, Vladislav Tcheprasov, Jeffrey D. Gee, Deepak Kumar:
Learning to be Relevant: Evolution of a Course Recommendation System. 2625-2633 - Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng:
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. 2635-2643
Applied - Urbanism and Mobility
- Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye:
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. 2645-2653 - Miao Fan, Jizhou Huang, An Zhuo, Ying Li, Ping Li, Haifeng Wang:
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data. 2655-2663 - Xiuwen Yi, Zhewen Duan, Ting Li, Tianrui Li, Junbo Zhang, Yu Zheng:
CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach. 2665-2671 - Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Deep Dynamic Fusion Network for Traffic Accident Forecasting. 2673-2681 - Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng:
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction. 2683-2691
Applied - Language Models
- Konstantine Arkoudas, Mohamed Yahya:
Semantically Driven Auto-completion. 2693-2701 - Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li:
Spam Review Detection with Graph Convolutional Networks. 2703-2711 - Elham Khabiri, Wesley M. Gifford, Bhanukiran Vinzamuri, Dhaval Patel, Pietro Mazzoleni:
Industry Specific Word Embedding and its Application in Log Classification. 2713-2721 - Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy:
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. 2723-2731
Applied - Novel Applications
- Keeyoung Kim, Byeongrak Seo, Sang-Hoon Rhee, Seungmoon Lee, Simon S. Woo:
Deep Learning for Blast Furnaces: Skip-Dense Layers Deep Learning Model to Predict the Remaining Time to Close Tap-holes for Blast Furnaces. 2733-2741 - Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Deep Graph Similarity Learning for Brain Data Analysis. 2743-2751 - He Li, Zhiqiang Liu, Sheng Xu, Zhiyuan Lin, Xiangqun Chen:
How to Find It Better?: Cross-Learning for WeChat Mini Programs. 2753-2761 - Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong:
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. 2763-2771 - Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell:
Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. 2773-2781 - Chenguang Fang, Shaoxu Song, Zhiwei Chen, Acan Gui:
Fine-Grained Fuel Consumption Prediction. 2783-2791
Applied - Online and User bahaviors
- Michal Aharon, Yohay Kaplan, Rina Levy, Oren Somekh, Ayelet Blanc, Neetai Eshel, Avi Shahar, Assaf Singer, Alex Zlotnik:
Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native. 2793-2801 - Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy:
Adversarial Factorization Autoencoder for Look-alike Modeling. 2803-2812 - Hongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang, Fang Chen:
Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring. 2813-2821 - Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang:
Multi-task based Sales Predictions for Online Promotions. 2823-2831 - Jiaming Yin, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Kai Zhao, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao:
Experimental Study of Multivariate Time Series Forecasting Models. 2833-2839 - Jianrong Tao, Linxia Gong, Changjie Fan, Longbiao Chen, Dezhi Ye, Sha Zhao:
GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games. 2841-2849 - Xiao Yang, Tao Deng, Weihan Tan, Xutian Tao, Junwei Zhang, Shouke Qin, Zongyao Ding:
Learning Compositional, Visual and Relational Representations for CTR Prediction in Sponsored Search. 2851-2859
Demo - Demo Session 1
- Antoine Boutet, Sébastien Gambs:
Inspect What Your Location History Reveals About You: Raising user awareness on privacy threats associated with disclosing his location data. 2861-2864 - Tova Milo, Yuval Moskovitch, Brit Youngmann:
PODIUM: Probabilistic Datalog Analysis via Contribution Maximization. 2865-2868 - Adam Jatowt, Ricardo Campos, Sourav S. Bhowmick, Antoine Doucet:
Document in Context of its Time (DICT): Providing Temporal Context to Support Analysis of Past Documents. 2869-2872 - Ori Bar El, Tova Milo, Amit Somech:
ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning. 2873-2876 - Marie Le Guilly, Jean-Marc Petit, Vasile-Marian Scuturici, Ihab F. Ilyas:
ExplIQuE: Interactive Databases Exploration with SQL. 2877-2880 - Pei-Xun Wang, Hsuan Chiu, Wen-Qian Chen, Che-Chia Chang, Yu-Hsuan Huang, Tzu-Hao Huang, Yuchun Lai, Chia-Hu Chang:
TraVis: An Interactive Visualization System for Mining Inbound Traveler Activities by Leveraging Mobile Ad Request Data. 2881-2884 - Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra:
Understanding Data in the Blink of an Eye. 2885-2888 - David Bernhauer, Tomás Skopal, Irena Holubová, Ladislav Peska, Martin Svoboda:
SIMILANT: An Analytic Tool for Similarity Modeling. 2889-2892 - Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich:
MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science. 2893-2896 - Kangsoo Jung, Junkyu Lee, Kunyoung Park, Seog Park:
PRIVATA: Differentially Private Data Market Framework using Negotiation-based Pricing Mechanism. 2897-2900 - Zixian Huang, Shuxin Li, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu:
MiCRon: Making Sense of News via Relationship Subgraphs. 2901-2904 - Sarah Oppold, Melanie Herschel:
LuPe: A System for Personalized and Transparent Data-driven Decisions. 2905-2908 - Madhulika Mohanty, Maya Ramanath:
Insta-Search: Towards Effective Exploration of Knowledge Graphs. 2909-2912
Demo - Demo Session 2
- Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang:
SkyRec: Finding Pareto Optimal Groups. 2913-2916 - Zheng Zheng, Tri Minh Quach, Ziyi Jin, Fei Chiang, Mostafa Milani:
CurrentClean: Interactive Change Exploration and Cleaning of Stale Data. 2917-2920 - Kongzhang Hao, Zhengyi Yang, Longbin Lai, Zhengmin Lai, Xin Jin, Xuemin Lin:
PatMat: A Distributed Pattern Matching Engine with Cypher. 2921-2924 - Boris Galitsky, Dmitry Ilvovsky:
On a Chatbot Conducting Virtual Dialogues. 2925-2928 - Yihong Zhang, Panote Siriaraya, Yukiko Kawai, Adam Jatowt:
Rehab-Path: Recommending Alcohol and Drug-free Routes. 2929-2932 - Ramon Bespinyowong, Anthony K. H. Tung:
kBrowse: kNN Graph Browser. 2933-2936 - Thanasis Vergoulis, Serafeim Chatzopoulos, Ilias Kanellos, Panagiotis Deligiannis, Christos Tryfonopoulos, Theodore Dalamagas:
BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking. 2937-2940 - Tien Duc Cao, Ludivine Duroyon, François Goasdoué, Ioana Manolescu, Xavier Tannier:
BeLink: Querying Networks of Facts, Statements and Beliefs. 2941-2944 - Matteo Paganelli, Paolo Sottovia, Francesco Guerra, Yannis Velegrakis:
TuneR: Fine Tuning of Rule-based Entity Matchers. 2945-2948 - Dwaipayan Roy, Sourav Saha, Mandar Mitra, Bihan Sen, Debasis Ganguly:
I-REX: A Lucene Plugin for EXplainable IR. 2949-2952 - Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli:
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment. 2953-2956 - Shay Gershtein, Tova Milo, Slava Novgorodov:
ReducE-Comm: Effective Inventory Reduction System for E-Commerce. 2957-2960 - Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu:
dEFEND: A System for Explainable Fake News Detection. 2961-2964
Tutorials
- Rong Duan, Yanghua Xiao:
Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge Management. 2965-2966 - Abdullah Mueen, Nikan Chavoshi, Amanda J. Minnich:
Taming Social Bots: Detection, Exploration and Measurement. 2967-2968 - Sairam Gurajada, Lucian Popa, Kun Qian, Prithviraj Sen:
Learning-Based Methods with Human-in-the-Loop for Entity Resolution. 2969-2970 - Xiang Wang, Xiangnan He, Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation. 2971-2972 - Chuan Shi, Philip S. Yu:
Recent Developments of Deep Heterogeneous Information Network Analysis. 2973-2974 - Jiaheng Lu, Chunbin Lin, Jin Wang, Chen Li:
Synergy of Database Techniques and Machine Learning Models for String Similarity Search and Join. 2975-2976 - James G. Shanahan, Liang Dai:
Realtime Object Detection via Deep Learning-based Pipelines. 2977-2978 - Muthusamy Chelliah, Yong Zheng, Sudeshna Sarkar:
Recommendation for Multi-stakeholders and through Neural Review Mining. 2979-2981 - Michalis Vazirgiannis, Giannis Nikolentzos, Giannis Siglidis:
Machine Learning on Graphs with Kernels. 2983-2984
Workshop Summaries
- Hyojung Paik, Ruibin Xi, Doheon Lee:
DTMBIO 2019: The Thirteenth International Workshop on Data and Text Mining in Biomedical Informatics. 2985-2987 - Arijit Ukil, Leandro Marín, Antonio Jara, John R. Farserotu:
Knowledge-Driven Analytics and Systems Impacting Human Quality of Life. 2989-2990 - Chuan Shi, Yanfang Ye, Jiawei Zhang:
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. 2991-2992 - Gong Cheng, Kalpa Gunaratna, Jun Wang:
EYRE 2019: 2nd International Workshop on EntitY REtrieval. 2993-2994 - Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye:
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). 2995-2996 - Huawei Shen, Jian Tang, Peng Bao:
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications. 2997-2998 - Fikret Sivrikaya, Sahin Albayrak, Defu Lian:
International Workshop on Model Selection and Parameter Tuning in Recommender Systems. 2999-3000 - Vito Walter Anelli, Tommaso Di Noia:
2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS. 3001-3002 - Feng Xia, Huan Liu, Irwin King, Kuansan Wang:
BigScholar 2019: The 6th Workshop on Big Scholarly Data. 3003-3004
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