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ORCID26th DASFAA 2021: Taipei, Taiwan - Part III
- Christian S. Jensen
, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12683, Springer 2021, ISBN 978-3-030-73199-1
Recommendation
- Haoyu Geng, Shuodian Yu, Xiaofeng Gao:
Gated Sequential Recommendation System with Social and Textual Information Under Dynamic Contexts. 3-19 - Guangben Lu, Ziheng Zhao, Xiaofeng Gao, Guihai Chen:
SRecGAN: Pairwise Adversarial Training for Sequential Recommendation. 20-35 - Yao Lv, Jiajie Xu, Rui Zhou, Junhua Fang, Chengfei Liu:
SSRGAN: A Generative Adversarial Network for Streaming Sequential Recommendation. 36-52 - Tao Yuan, Shuzi Niu, Huiyuan Li:
Topological Interpretable Multi-scale Sequential Recommendation. 53-68 - Zhenghao Zhang, Tun Lu, Dongsheng Li, Peng Zhang, Hansu Gu, Ning Gu:
SANS: Setwise Attentional Neural Similarity Method for Few-Shot Recommendation. 69-84 - Junheng Huang, Fangyuan Luo, Jun Wu:
Semi-supervised Factorization Machines for Review-Aware Recommendation. 85-99 - Lingkang Meng, Chongyang Shi, Shufeng Hao, Xiangrui Su:
DCAN: Deep Co-Attention Network by Modeling User Preference and News Lifecycle for News Recommendation. 100-114 - Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Considering Interaction Sequence of Historical Items for Conversational Recommender System. 115-131 - Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Knowledge-Aware Hypergraph Neural Network for Recommender Systems. 132-147 - Hao Sun, Zijian Wu, Yue Cui, Liwei Deng, Yan Zhao, Kai Zheng:
Personalized Dynamic Knowledge-Aware Recommendation with Hybrid Explanations. 148-164 - Jinbo Song, Chao Chang, Fei Sun, Zhenyang Chen, Guoyong Hu, Peng Jiang:
Graph Attention Collaborative Similarity Embedding for Recommender System. 165-178 - Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Learning Disentangled User Representation Based on Controllable VAE for Recommendation. 179-194 - Wei Yang, Tianyu Hu:
DFCN: An Effective Feature Interactions Learning Model for Recommender Systems. 195-210 - Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng:
Tell Me Where to Go Next: Improving POI Recommendation via Conversation. 211-227 - Xinyu Wen, Zhaohui Peng, Shanshan Huang, Senzhang Wang, Philip S. Yu:
MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation. 228-243 - Qianfeng Gao, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang:
VizGRank: A Context-Aware Visualization Recommendation Method Based on Inherent Relations Between Visualizations. 244-261 - Daomin Ji, Zhenglong Xiang, Yuanxiang Li:
Deep User Representation Construction Model for Collaborative Filtering. 262-278 - Zhiqiang Guo, Chaoyang Wang, Jianjun Li, Guohui Li, Peng Pan:
DiCGAN: A Dilated Convolutional Generative Adversarial Network for Recommender Systems. 279-296 - Ming He, Hanyu Zhang, Han Wen:
RE-KGR: Relation-Enhanced Knowledge Graph Reasoning for Recommendation. 297-305 - Ming He, Han Wen, Hanyu Zhang:
LGCCF: A Linear Graph Convolutional Collaborative Filtering with Social Influence. 306-314 - Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue:
Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks. 315-320 - Mingda Qian, Bo Li, Xiaoyan Gu, Zhuo Wang, Feifei Dai, Weiping Wang:
Combining Meta-path Instances into Layer-Wise Graphs for Recommendation. 321-329 - Xuehan Sun, Tianyao Shi, Xiaofeng Gao, Xiang Li, Guihai Chen:
GCAN: A Group-Wise Collaborative Adversarial Networks for Item Recommendation. 330-338
Emerging Applications
- Zhihao Chen, Xiaodong Qi, Xiaofan Du, Zhao Zhang, Cheqing Jin:
PEEP: A Parallel Execution Engine for Permissioned Blockchain Systems. 341-357 - Zheng Xu, Chaofan Liu, Peng Zhang, Tun Lu, Ning Gu:
URIM: Utility-Oriented Role-Centric Incentive Mechanism Design for Blockchain-Based Crowdsensing. 358-374 - Zihuan Xu, Siyuan Han, Lei Chen:
PAS: Enable Partial Consensus in the Blockchain. 375-392 - Yifan Hua, Kaixin Huang, Shengan Zheng, Linpeng Huang:
Redesigning the Sorting Engine for Persistent Memory. 393-412 - Jiawei Ouyang, Yuhao Zhang, Xiangrui Cai, Ying Zhang, Xiaojie Yuan:
ImputeRNN: Imputing Missing Values in Electronic Medical Records. 413-428 - Rui Zhang, Wei Zhang, Ning Liu, Jianyong Wang:
Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack. 429-444 - Kehui Song, Shenglong Yu, Haiwei Zhang, Ying Zhang, Xiangrui Cai, Xiaojie Yuan:
A Decision Support System for Heart Failure Risk Prediction Based on Weighted Naive Bayes. 445-460 - Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen:
Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis. 461-477 - Chenchen Huang, Huiqi Hu, Aoying Zhou:
BPTree: An Optimized Index with Batch Persistence on Optane DC PM. 478-486 - Shadaab Siddiqie, Anirban Mondal, P. Krishna Reddy:
An Improved Dummy Generation Approach for Enhancing User Location Privacy. 487-495
Industrial Papers
- Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu:
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. 499-510 - Shuangyong Song, Chao Wang, Xiao Pu, Zehui Wang, Huan Chen:
An Enhanced Convolutional Inference Model with Distillation for Retrieval-Based QA. 511-515 - Di Jiang, Yuanfeng Song, Rongzhong Lian, Siqi Bao, Jinhua Peng, Huang He, Hua Wu, Chen Zhang, Lei Chen:
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering. 516-528 - Jingbing Wang, Zhuolin Hao, Minping Zhou, Jiaze Chen, Hao Zhou, Zhenqiao Song, Jinghao Wang, Jiandong Yang, Shiguang Ni:
Generating Personalized Titles Incorporating Advertisement Profile. 529-540 - Shengbin Jia, E. Shijia, Ling Ding, Xiaojun Chen, Lingling Yao, Yang Xiang:
Parasitic Network: Zero-Shot Relation Extraction for Knowledge Graph Populating. 541-552 - Chuanyu Xu, Xiuchong Wang, Binbin Hu, Da Zhou, Yu Dong, Chengfu Huo, Weijun Ren:
Graph Attention Networks for New Product Sales Forecasting in E-Commerce. 553-565 - Ding Zhou, Hao Liu, Tong Xu, Le Zhang, Rui Zha, Hui Xiong:
Transportation Recommendation with Fairness Consideration. 566-578 - Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou:
Constraint-Adaptive Rule Mining in Large Databases. 579-591
Demo Papers
- Ningchao Ge, Zheng Qin, Peng Peng, Lei Zou:
FedTopK: Top-K Queries Optimization over Federated RDF Systems. 595-599 - Qinhui Chen, Liping Hua, Junjie Wei, Hui Zhao, Gang Zhao:
Shopping Around: CoSurvey Helps You Make a Wise Choice. 600-603 - Chang-Wei Sung, Xinghao Yang, Chung-Shou Liao, Wei Liu:
IntRoute: An Integer Programming Based Approach for Best Bus Route Discovery. 604-607 - Xuguang Bao, Jinjie Lu, Tianlong Gu, Liang Chang, Lizhen Wang:
NRCP-Miner: Towards the Discovery of Non-redundant Co-location Patterns. 608-611 - Sujing Song, Jie Sun, Jianqiu Xu:
ARCA: A Tool for Area Calculation Based on GPS Data. 612-616 - Xin Huang, Wenbin Zhang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang:
LSTM Based Sentiment Analysis for Cryptocurrency Prediction. 617-621 - Xing Tong, Haibo Tang, Nan Jiang, Wei Fan, Yichen Gao, Sijia Deng, Zhao Zhang, Cheqing Jin, Yingjie Yang, Gang Qin:
SQL-Middleware: Enabling the Blockchain with SQL. 622-626 - Zhizhen Xu, Zihao Chen, Chen Xu:
Loupe: A Visualization Tool for High-Level Execution Plans in SystemDS. 627-630
Ph.D Consortium
- Olalekan J. Akintande:
Algorithm Fairness Through Data Inclusion, Participation, and Reciprocity. 633-637 - Sarvesh Pandey, Udai Shanker:
Performance Issues in Scheduling of Real-Time Transactions. 638-642 - Sara Bonfitto:
Semantic Integration of Heterogeneous and Complex Spreadsheet Tables. 643-646 - Pavel Contos:
Abstract Model for Multi-model Data. 647-651 - Hao-Shang Ma, Jen-Wei Huang:
User Preference Translation Model for Next Top-k Items Recommendation with Social Relations. 652-655
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