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ORCID29th CIKM 2020: Virtual Event, Ireland
- Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, Philippe Cudré-Mauroux:
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020. ACM 2020, ISBN 978-1-4503-6859-9
Keynote Talks
- Xin Luna Dong:
Ceres: Harvesting Knowledge from the Semi-structured Web. 1 - Michel Dumontier:
Accelerating Discovery Science with an Internet of FAIR Data and Services. 3
Full Paper Track
- Séverine Affeldt
, Lazhar Labiod, Mohamed Nadif:
Ensemble Block Co-clustering: A Unified Framework for Text Data. 5-14 - Saad Aloteibi, Stephen Clark:
Learning to Personalize for Web Search Sessions. 15-24 - Aziz Amezian El Khalfioui, Jonathan Joertz, Dorian Labeeuw, Gaëtan Staquet, Jef Wijsen:
Optimization of Answer Set Programs for Consistent Query Answering by Means of First-Order Rewriting. 25-34 - Aris Anagnostopoulos, Luca Becchetti, Adriano Fazzone, Cristina Menghini, Chris Schwiegelshohn:
Spectral Relaxations and Fair Densest Subgraphs. 35-44 - Iti Bansal, Sudhanshu Tiwari, Carlos R. Rivero:
The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph Completion. 45-54 - Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky:
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. 55-64 - Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. 65-74 - Till Blume, David Richerby, Ansgar Scherp:
Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. 75-84 - Valeria Bolotova, Vladislav Blinov, Yukun Zheng, W. Bruce Croft, Falk Scholer, Mark Sanderson:
Do People and Neural Nets Pay Attention to the Same Words: Studying Eye-tracking Data for Non-factoid QA Evaluation. 85-94 - Eugênio F. Cabral, Robson L. F. Cordeiro:
Fast and Scalable Outlier Detection with Sorted Hypercubes. 95-104 - Erik Cambria, Yang Li, Frank Z. Xing, Soujanya Poria, Kenneth Kwok:
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis. 105-114 - Javier Carrasco, Aidan Hogan, Jorge Pérez:
Laconic Image Classification: Human vs. Machine Performance. 115-124 - Anirban Chakraborty, Debasis Ganguly, Owen Conlan:
Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants. 125-134 - Buru Chang, Gwanghoon Jang, Seoyoon Kim, Jaewoo Kang:
Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation. 135-144 - Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi:
Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. 145-154 - Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang:
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. 155-164 - Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen:
An Adaptive Embedding Framework for Heterogeneous Information Networks. 165-174 - Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke:
Improving End-to-End Sequential Recommendations with Intent-aware Diversification. 175-184 - Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. 185-194 - Hao-Yi Chih, Yao-Chung Fan, Wen-Chih Peng, Hai-Yuan Kuo:
Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning. 195-204 - Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. 205-214 - Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim:
TPR: Text-aware Preference Ranking for Recommender Systems. 215-224 - Charles L. A. Clarke, Mark D. Smucker, Alexandra Vtyurina:
Offline Evaluation by Maximum Similarity to an Ideal Ranking. 225-234 - Xin Dai, Xiangnan Kong, Tian Guo:
EPNet: Learning to Exit with Flexible Multi-Branch Network. 235-244 - Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning:
Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. 245-254 - Yang Deng, Wenxuan Zhang, Wai Lam:
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce. 255-264 - Mengting Diao, Zhongbao Zhang, Sen Su, Shuai Gao, Huafeng Cao:
UPON: User Profile Transferring across Networks. 265-274 - Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette:
Evaluating Stochastic Rankings with Expected Exposure. 275-284 - Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan:
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. 285-294 - Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. 295-304 - Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang:
Neural Formatting for Spreadsheet Tables. 305-314 - Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu:
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. 315-324 - Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu:
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. 325-334 - Lorik Dumani, Ralf Schenkel:
Quality-Aware Ranking of Arguments. 335-344 - Cheng Feng, Xiao Liang, Daniel Schneegass, Pengwei Tian:
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning. 345-354 - Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach:
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. 355-363 - Zhenxin Fu, Shaobo Cui, Feng Ji, Ji Zhang, Haiqing Chen, Dongyan Zhao, Rui Yan:
Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems. 365-374 - Michael Günther, Philipp Oehme, Maik Thiele, Wolfgang Lehner:
Learning from Textual Data in Database Systems. 375-384 - Chang Gao, Chengjie Sun, Lili Shan, Lei Lin, Mingjiang Wang:
Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph Embedding. 385-394 - Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu:
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. 395-404 - Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur:
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. 405-414 - Xiaoqing Geng, Xiwen Chen, Kenny Q. Zhu, Libin Shen, Yinggong Zhao:
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data. 415-424 - Shu Guo, Lin Li, Zhen Hui, Lingshuai Meng, Bingnan Ma, Wei Liu, Lihong Wang, Haibin Zhai, Hong Zhang:
Knowledge Graph Embedding Preserving Soft Logical Regularity. 425-434 - Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla:
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. 435-443 - Lei Han, Alessandro Checco, Djellel Eddine Difallah, Gianluca Demartini, Shazia Wasim Sadiq:
Modelling User Behavior Dynamics with Embeddings. 445-454 - Zhenyu Han, Fengli Xu, Jinghan Shi, Yu Shang, Haorui Ma, Pan Hui, Yong Li:
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network. 455-464 - Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. 465-474 - Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West:
Privacy-Preserving Classification with Secret Vector Machines. 475-484 - Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Learning to Selectively Update State Neurons in Recurrent Networks. 485-494 - Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park:
Hypergraph Random Walks, Laplacians, and Clustering. 495-504 - Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren:
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. 505-514 - Bay-Yuan Hsu, Chih-Ya Shen, Ming-Yi Chang:
WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks. 515-524 - Kai Hua, Zhiyuan Feng, Chongyang Tao, Rui Yan, Lu Zhang:
Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems. 525-534 - Feicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma:
Image Captioning with Internal and External Knowledge. 535-544 - Yajun Huang, Jingbin Zhang, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation. 545-554 - Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang:
Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. 555-564 - Wendi Ji, Keqiang Wang, Xiaoling Wang, Tingwei Chen, Alexandra I. Cristea:
Sequential Recommender via Time-aware Attentive Memory Network. 565-574 - Jyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju, Wei Wang:
MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning. 575-584 - Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang:
Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. 585-594 - Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah:
Social Factors in Closed-Network Content Consumption. 595-604 - SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. 605-614 - Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu:
Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding. 615-624 - Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He:
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction. 625-634 - Ansh Khurana, Alvis Logins, Panagiotis Karras:
Selecting Influential Features by a Learnable Content-Aware Linear Threshold Model. 635-644 - Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie:
Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes. 645-654 - Benno Kruit, Peter A. Boncz, Jacopo Urbani:
Extracting N-ary Facts from Wikipedia Table Clusters. 655-664 - Hsu-Chao Lai, Jui-Yi Tsai, Hong-Han Shuai, Jiun-Long Huang, Wang-Chien Lee, De-Nian Yang:
Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization. 665-674 - Yi-Yu Lai, Jennifer Neville:
MERL: Multi-View Edge Representation Learning in Social Networks. 675-684 - Julien Leblay, Melisachew Wudage Chekol, Xin Liu:
Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision. 685-694 - Dongho Lee, Byungkook Oh, Seungmin Seo, Kyong-Ho Lee:
News Recommendation with Topic-Enriched Knowledge Graphs. 695-704 - Sanghak Lee, Seungmin Seo, Byungkook Oh, Kyong-Ho Lee, Dong-Hoon Shin, Yeonsoo Lee:
Cross-sentence N-ary Relation Extraction using Entity Link and Discourse Relation. 705-714 - Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. 715-724 - Changchun Li, Ximing Li, Jihong Ouyang:
Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies. 725-734 - Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. 735-744 - Kaiyang Li, Guoming Lu, Guangchun Luo, Zhipeng Cai:
Seed-free Graph De-anonymiztiation with Adversarial Learning. 745-754 - Lei Li, Yongfeng Zhang, Li Chen:
Generate Neural Template Explanations for Recommendation. 755-764 - Mingda Li, Weiting Gao, Yi Chen:
A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities. 765-774 - Shiju Li, Chul-Ho Lee, Do Young Eun:
Trapping Malicious Crawlers in Social Networks. 775-784 - Xiang Li, Chao Wang, Bin Tong, Jiwei Tan, Xiaoyi Zeng, Tao Zhuang:
Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction. 785-794 - Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma:
Learning Better Representations for Neural Information Retrieval with Graph Information. 795-804 - Yexin Li, Yu Zheng, Qiang Yang:
Cooperative Multi-Agent Reinforcement Learning in Express System. 805-814 - Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li:
Meta-Learning for Neural Relation Classification with Distant Supervision. 815-824 - Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He, Ruifeng Xu:
Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. 825-834 - Xiaomin Liang, Daifeng Li, Andrew D. Madden:
Attributed Network Embedding based on Mutual Information Estimation. 835-844 - Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan:
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. 845-854 - Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang:
Attacking Recommender Systems with Augmented User Profiles. 855-864 - Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai:
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. 865-874 - Hongyu Liu, Ruifang He, Haocheng Wang, Bo Wang:
Fusing Parallel Social Contexts within Flexible-Order Proximity for Microblog Topic Detection. 875-884 - Meng Liu, Jianjun Li, Guohui Li, Peng Pan:
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks. 885-894 - Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. 895-904 - Ruiqiang Liu, Shuai Zhao, Bo Cheng, Hao Yang, Haina Tang, Taoyu Li:
Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection. 905-914 - Shang Liu, Wanli Gu, Gao Cong, Fuzheng Zhang:
Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search. 915-924 - Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng:
Personalized Re-ranking with Item Relationships for E-commerce. 925-934 - Xinyu Liu, Yu Pan, Yusen Li, Gang Wang, Xiaoguang Liu:
An NVM SSD-Optimized Query Processing Framework. 935-944 - Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference. 945-954 - Yuli Liu:
Recommending Inferior Results: A General and Feature-Free Model for Spam Detection. 955-974 - Zemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang, Steven C. H. Hoi:
Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks. 975-984 - Zheyi Liu, Darong Lai, Chuanyou Li, Meng Wang:
Feature Fusion Based Subgraph Classification for Link Prediction. 985-994 - Zhijun Liu, Chao Huang, Yanwei Yu, Baode Fan, Junyu Dong:
Fast Attributed Multiplex Heterogeneous Network Embedding. 995-1004 - Zhijun Liu, Chao Huang, Yanwei Yu, Peng Song, Baode Fan, Junyu Dong:
Dynamic Representation Learning for Large-Scale Attributed Networks. 1005-1014 - Zhuang Liu, Kaiyu Huang, Degen Huang, Zhuang Liu, Jun Zhao:
Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions. 1015-1024 - Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Haisong Zhang:
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting. 1025-1034 - Chien Lu, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin:
Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining. 1035-1043 - Zhipeng Luo, Milos Hauskrecht:
Hierarchical Active Learning with Overlapping Regions. 1045-1054 - Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan:
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. 1055-1064 - Rui Ma, Yijie Wang, Li Cheng:
Feature Selection on Data Stream via Multi-Cluster Structure Preservation. 1065-1074 - Zhengyi Ma, Zhicheng Dou, Guanyue Bian, Ji-Rong Wen:
PSTIE: Time Information Enhanced Personalized Search. 1075-1084 - Joel M. Mackenzie, Alistair Moffat:
Examining the Additivity of Top-k Query Processing Innovations. 1085-1094 - Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan:
Relational Reflection Entity Alignment. 1095-1104 - Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie:
CSNE: Conditional Signed Network Embedding. 1105-1114 - Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension. 1115-1124 - Luiz Felipe Mendes, Marcos André Gonçalves, Washington Cunha, Leonardo Rocha, Thierson Couto Rosa, Wellington Martins:
"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification. 1125-1134 - Luis Miralles-Pechuán, Fernando Jiménez, Hiram Ponce, Lourdes Martínez-Villaseñor:
A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions. 1135-1144 - Guanyi M