default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID27th CIKM 2018: Torino, Italy
- Alfredo Cuzzocrea, James Allan, Norman W. Paton, Divesh Srivastava, Rakesh Agrawal, Andrei Z. Broder, Mohammed J. Zaki, K. Selçuk Candan, Alexandros Labrinidis, Assaf Schuster, Haixun Wang:
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018. ACM 2018, ISBN 978-1-4503-6014-2
Keynotes
- Yoelle Maarek:
Alexa and Her Shopping Journey. 1 - Maarten de Rijke:
Shifting Information Interactions. 3 - Edward Grefenstette:
Teaching Artificial Agents to Understand Language by Modelling Reward. 5-6
Session 1A: Content Understanding
- Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang:
Multi-Source Pointer Network for Product Title Summarization. 7-16 - Hongzuo Xu
, Yongjun Wang, Li Cheng, Yijie Wang, Xingkong Ma:
Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data. 17-26 - Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu:
Neural Relational Topic Models for Scientific Article Analysis. 27-36 - Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu:
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. 37-46
Session 1B: Top-K
- Theodoros Tzouramanis, Eleftherios Tiakas, Apostolos N. Papadopoulos, Yannis Manolopoulos:
The Range Skyline Query. 47-56 - Paolo Ciaccia, Davide Martinenghi:
FA + TA <FSA: Flexible Score Aggregation. 57-66 - Shuai Yang, Xipeng Shen:
FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning. 67-76 - Zhilin Zhang, Ke Wang, Chen Lin, Weipeng Lin:
Secure Top-k Inner Product Retrieval. 77-86
Session 1C: Graph Learning 1
- Xuan Wu, Lingxiao Zhao, Leman Akoglu:
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. 87-96 - Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang, Haifeng Chen:
TGNet: Learning to Rank Nodes in Temporal Graphs. 97-106 - Edoardo Galimberti, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Mining (maximal) Span-cores from Temporal Networks. 107-116 - Mark Heimann, Haoming Shen, Tara Safavi, Danai Koutra:
REGAL: Representation Learning-based Graph Alignment. 117-126
Session 1D: Neural Recommendation
- Shaoyun Shi, Min Zhang, Yiqun Liu, Shaoping Ma:
Attention-based Adaptive Model to Unify Warm and Cold Starts Recommendation. 127-136 - Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jung-Tae Lee:
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks. 137-146 - Jin Yao Chin, Kaiqi Zhao, Shafiq R. Joty, Gao Cong:
ANR: Aspect-based Neural Recommender. 147-156 - Lei Mei, Pengjie Ren, Zhumin Chen, Liqiang Nie, Jun Ma, Jian-Yun Nie:
An Attentive Interaction Network for Context-aware Recommendations. 157-166
Session 1E: Interactive IR 1
- Felipe Moraes, Sindunuraga Rikarno Putra, Claudia Hauff:
Contrasting Search as a Learning Activity with Instructor-designed Learning. 167-176 - Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W. Bruce Croft:
Towards Conversational Search and Recommendation: System Ask, User Respond. 177-186 - Haotian Zhang, Mustafa Abualsaud, Nimesh Ghelani, Mark D. Smucker, Gordon V. Cormack, Maura R. Grossman:
Effective User Interaction for High-Recall Retrieval: Less is More. 187-196 - Jyun-Yu Jiang, Wei Wang:
RIN: Reformulation Inference Network for Context-Aware Query Suggestion. 197-206
Session 2A: Data Integration
- Nuhad Shaabani, Christoph Meinel:
Improving the Efficiency of Inclusion Dependency Detection. 207-216 - San Kim, Guoliang Li, Jianhua Feng, Kaiyu Li:
Web Table Understanding by Collective Inference. 217-226 - Ioannis Giannakopoulos, Dimitrios Tsoumakos, Nectarios Koziris:
A Content-Based Approach for Modeling Analytics Operators. 227-236
Session 2B: Knowledge Graph Learning
- Yadan Luo, Ziwei Wang, Zi Huang, Yang Yang, Cong Zhao:
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning. 237-246 - Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Shared Embedding Based Neural Networks for Knowledge Graph Completion. 247-256 - Byungkook Oh, Seungmin Seo, Kyong-Ho Lee:
Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods. 257-266
Session 2C: Data Quality
- Haoyu Zhang, Qin Zhang, Haixu Tang:
Smooth q-Gram, and Its Applications to Detection of Overlaps among Long, Error-Prone Sequencing Reads. 267-276 - Hongtao Wang, Pan Su, Miao Zhao, Hongmei Wang, Gang Li:
Multi-View Group Anomaly Detection. 277-286 - Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer:
Detecting Outliers in Data with Correlated Measures. 287-296
Session 2D: Online Learning
- Adit Krishnan, Ashish Sharma, Hari Sundaram:
Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity. 297-306 - Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. 307-316 - Andrés Muñoz Medina, Sergei Vassilvitskii, Dong Yin:
Online Learning for Non-Stationary A/B Tests. 317-326
Session 2E: Personalization
- Jing Zhang, Bo Chen, Xianming Wang, Hong Chen, Cuiping Li, Fengmei Jin, Guojie Song, Yutao Zhang:
MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks. 327-336 - Donghyeon Kim, Jinhyuk Lee, Donghee Choi, Jaehoon Choi, Jaewoo Kang:
Learning User Preferences and Understanding Calendar Contexts for Event Scheduling. 337-346 - Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen:
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. 347-356
Session 3A: Social Data Analytics 1
- Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu:
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. 357-366 - Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata:
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. 367-376 - Abhijin Adiga, Vanessa Cedeno-Mieles, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Inferring Probabilistic Contagion Models Over Networks Using Active Queries. 377-386
Session 3B: Evaluation in IR 1
- Jayant Gupchup, Yasaman Hosseinkashi, Pavel A. Dmitriev, Daniel Schneider, Ross Cutler, Andrei Jefremov, Martin Ellis:
Trustworthy Experimentation Under Telemetry Loss. 387-396 - Mücahid Kutlu, Tamer Elsayed, Maram Hasanain, Matthew Lease:
When Rank Order Isn't Enough: New Statistical-Significance-Aware Correlation Measures. 397-406 - Ellen M. Voorhees:
On Building Fair and Reusable Test Collections using Bandit Techniques. 407-416
Session 3C: Graphs
- Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo:
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. 417-426 - Huiyuan Chen, Jing Li:
Exploiting Structural and Temporal Evolution in Dynamic Link Prediction. 427-436 - Rana Hussein, Dingqi Yang, Philippe Cudré-Mauroux:
Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings. 437-446
Session 3D: Facets and Entities
- Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang:
Distribution Distance Minimization for Unsupervised User Identity Linkage. 447-456 - Lihan Chen, Jiaqing Liang, Chenhao Xie, Yanghua Xiao:
Short Text Entity Linking with Fine-grained Topics. 457-466 - Radityo Eko Prasojo, Mouna Kacimi, Werner Nutt:
StuffIE: Semantic Tagging of Unlabeled Facets Using Fine-Grained Information Extraction. 467-476
Session 3E: Indexing
- Parth Nagarkar, K. Selçuk Candan:
PSLSH: An Index Structure for Efficient Execution of Set Queries in High-Dimensional Spaces. 477-486 - Dhruv Gupta, Klaus Berberich:
GYANI: An Indexing Infrastructure for Knowledge-Centric Tasks. 487-496 - Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps:
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. 497-506
Session 4A: Stream Analytics 1
- Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. 507-516 - Qitian Wu, Chaoqi Yang, Hengrui Zhang, Xiaofeng Gao, Paul Weng, Guihai Chen:
Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction. 517-526 - Damianos P. Melidis, Myra Spiliopoulou, Eirini Ntoutsi:
Learning under Feature Drifts in Textual Streams. 527-536 - Avirup Saha, Bidisha Samanta, Niloy Ganguly, Abir De:
CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion. 537-546
Session 4B: Network Models
- Atsushi Miyauchi, Naonori Kakimura:
Finding a Dense Subgraph with Sparse Cut. 547-556 - Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Signed Network Modeling Based on Structural Balance Theory. 557-566 - Soumya Sarkar, Sanjukta Bhowmick, Animesh Mukherjee:
On Rich Clubs of Path-Based Centralities in Networks. 567-576 - Yan Li, Tingjian Ge, Cindy X. Chen:
VTeller: Telling the Values Somewhere, Sometime in a Dynamic Network of Urban Systems. 577-586
Session 4C: News
- Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han:
Open-Schema Event Profiling for Massive News Corpora. 587-596 - Hong-Han Shuai, Yen-Chieh Lien, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu:
Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions. 597-606 - Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi:
Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming. 607-616 - Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng:
Question Headline Generation for News Articles. 617-626
Session 4D: Joint Models for IR
- Junqi Zhang, Yiqun Liu, Shaoping Ma, Qi Tian:
Relevance Estimation with Multiple Information Sources on Search Engine Result Pages. 627-636 - Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. 637-646 - Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Hisako Asano, Junji Tomita:
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension. 647-656 - Pablo Loyola, Kugamoorthy Gajananan, Fumiko Satoh:
Bug Localization by Learning to Rank and Represent Bug Inducing Changes. 657-665
Session 4E: Recommendation 1
- Guangneng Hu, Yu Zhang, Qiang Yang:
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. 667-676 - Libing Wu, Cong Quan, Chenliang Li, Donghong Ji:
PARL: Let Strangers Speak Out What You Like. 677-686 - Thanh Tran, Kyumin Lee, Yiming Liao, Dongwon Lee:
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. 687-696 - Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu:
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. 697-706
Session 5A: Evaluation in IR 2
- Ian Soboroff:
Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections. 713-722 - Tadele Tedla Damessie, J. Shane Culpepper, Jaewon Kim, Falk Scholer:
Presentation Ordering Effects On Assessor Agreement. 723-732 - Xiangsheng Li, Yiqun Liu, Jiaxin Mao, Zexue He, Min Zhang, Shaoping Ma:
Understanding Reading Attention Distribution during Relevance Judgement. 733-742
Session 5B: Health and Medical
- Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao:
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. 743-752 - Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit P. Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak:
"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. 753-762 - Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh:
HeteroMed: Heterogeneous Information Network for Medical Diagnosis. 763-772
Session 5C: Machine Learning 1
- Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun:
"Bridge": Enhanced Signed Directed Network Embedding. 773-782 - Yuanyuan Xu, Jun Wang, Shuai An, Jinmao Wei, Jianhua Ruan:
Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency. 783-792 - Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun:
COPA: Constrained PARAFAC2 for Sparse & Large Datasets. 793-802
Session 5D: Similarity 1
- Tobias Backes:
The Impact of Name-Matching and Blocking on Author Disambiguation. 803-812 - Chaomin Shen, Mixue Yu, Chenxiao Zhao, Yaxin Peng, Guixu Zhang:
Parallel Hashing Using Representative Points in Hyperoctants. 813-822
Session 5E: Neural Ranking
- Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang:
PRRE: Personalized Relation Ranking Embedding for Attributed Networks. 823-832 - Liang Chen, Yang Liu, Zibin Zheng, Philip S. Yu:
Heterogeneous Neural Attentive Factorization Machine for Rating Prediction. 833-842 - Balázs Hidasi, Alexandros Karatzoglou:
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. 843-852
Session 6A: Machine Learning 2
- Xiaoli Li, Jun Huan:
Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity. 853-861 - Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. 863-872 - Renqin Cai, Xueying Bai, Zhenrui Wang, Yuling Shi, Parikshit Sondhi, Hongning Wang:
Modeling Sequential Online Interactive Behaviors with Temporal Point Process. 873-882
Session 6B: Knowledge Modelling
- Tien-Hsuan Wu, Zhiyong Wu, Ben Kao, Pengcheng Yin:
Towards Practical Open Knowledge Base Canonicalization. 883-892 - Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio D. Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, Marcos André Gonçalves:
Semantically-Enhanced Topic Modeling. 893-902 - Bo Xu, Zheng Luo, Luyang Huang, Bin Liang, Yanghua Xiao, Deqing Yang, Wei Wang:
METIC: Multi-Instance Entity Typing from Corpus. 903-912
Session 6C: Graph Learning 2
- Ming Ding, Jie Tang, Jie Zhang:
Semi-supervised Learning on Graphs with Generative Adversarial Nets. 913-922 - Çigdem Aslay, Muhammad Anis Uddin Nasir, Gianmarco De Francisci Morales, Aristides Gionis:
Mining Frequent Patterns in Evolving Graphs. 923-932 - Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu:
Multiresolution Graph Attention Networks for Relevance Matching. 933-942
Session 6D: Information Credibility
- Han Guo, Juan Cao, Yazi Zhang, Junbo Guo, Jintao Li:
Rumor Detection with Hierarchical Social Attention Network. 943-951 - Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang:
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. 953-962 - Takehiro Yamamoto, Yusuke Yamamoto, Sumio Fujita:
Exploring People's Attitudes and Behaviors Toward Careful Information Seeking in Web Search. 963-972
Session 6E: Text Classification
- Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li:
Dataless Text Classification: A Topic Modeling Approach with Document Manifold. 973-982 - Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Neural Text Classification. 983-992 - Smit Marvaniya, Swarnadeep Saha, Tejas I. Dhamecha, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta:
Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading. 993-1002
Session 7A: Social Data Analytics 2
- Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti:
Probabilistic Causal Analysis of Social Influence. 1003-1012 - Yun Liu, Xiaoming Zhang, Feiran Huang, Zhoujun Li:
Adversarial Learning of Answer-Related Representation for Visual Question Answering. 1013-1022 - Shaojie Tang:
Stochastic Coupon Probing in Social Networks. 1023-1031 - Yaroslav Nechaev, Francesco Corcoglioniti, Claudio Giuliano:
Type Prediction Combining Linked Open Data and Social Media. 1033-1042
Session 7B: Stream Analytics 2
- Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm:
Efficient and Reliable Estimation of Cell Positions. 1043-1052 - Bo Tang, Hongyin Tang, Xinzhou Dong, Beihong Jin, Tingjian Ge:
On Real-time Detecting Passenger Flow Anomalies. 1053-1062 - Alican Büyükçakir, Hamed R. Bonab, Fazli Can:
A Novel Online Stacked Ensemble for Multi-Label Stream Classification. 1063-1072 - Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Louis Faust, Nitesh V. Chawla:
RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data. 1073-1082
Session 7C: Hardware Approaches
- Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang:
Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range. 1083-1092 - Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu:
Disk-based Matrix Completion for Memory Limited Devices. 1093-1102 - Yong Zhuang, Yu-Chin Juan, Guo-Xun Yuan, Chih-Jen Lin:
Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification. 1103-1112 - Hao Li, Kenli Li, Ji-yao An, Keqin Li:
CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU. 1113-1122
Session 7D: Recommendation 2
- Rischan Mafrur, Mohamed A. Sharaf, Hina A. Khan:
DiVE: Diversifying View Recommendation for Visual Data Exploration. 1123-1132 - Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley:
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. 1133-1142