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ORCID26th CIKM 2017: Singapore
- Ee-Peng Lim, Marianne Winslett, Mark Sanderson, Ada Wai-Chee Fu, Jimeng Sun, J. Shane Culpepper, Eric Lo, Joyce C. Ho, Debora Donato, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li:
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017. ACM 2017, ISBN 978-1-4503-4918-5
Keynote & Invited Talks
- Rajeev Rastogi:
Machine Learning @ Amazon. 1 - Rada Mihalcea:
Deception Detection: When Computers Become Better than Humans. 3 - Qiang Yang:
When Deep Learning Meets Transfer Learning. 5 - K. Ananth Krishnan:
A Hyper-connected World. 7
Session 1A: Multimedia
- Chao Li, Yang Yang, Jiewei Cao
, Zi Huang:
Jointly Modeling Static Visual Appearance and Temporal Pattern for Unsupervised Video Hashing. 9-17 - Hyunsoo Kim, Youngbae Jeon, Ji Won Yoon:
Construction of a National Scale ENF Map using Online Multimedia Data. 19-28 - Wei Zhao, Wei Xu, Min Yang, Jianbo Ye, Zhou Zhao, Yabing Feng, Yu Qiao:
Dual Learning for Cross-domain Image Captioning. 29-38 - Sai Wu, Mengdan Zhang, Gang Chen, Ke Chen:
A New Approach to Compute CNNs for Extremely Large Images. 39-48
Session 1B: IR evaluation
- Dan Li, Evangelos Kanoulas:
Active Sampling for Large-scale Information Retrieval Evaluation. 49-58 - Prakash Mandayam Comar, Srinivasan H. Sengamedu:
Intent Based Relevance Estimation from Click Logs. 59-66 - Gaurav Baruah, Richard McCreadie, Jimmy Lin:
A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries. 67-76 - Harrie Oosterhuis, Maarten de Rijke:
Sensitive and Scalable Online Evaluation with Theoretical Guarantees. 77-86
Session 1C: Sentiment
- Thibaut Thonet, Guillaume Cabanac, Mohand Boughanem, Karen Pinel-Sauvagnat:
Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks. 87-96 - Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang:
Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network. 97-106 - Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
Dyadic Memory Networks for Aspect-based Sentiment Analysis. 107-116 - Qiang Chen, Chenliang Li, Wenjie Li:
Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis. 117-126
Session 1D: Network Embedding 1
- Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin:
Multi-view Clustering with Graph Embedding for Connectome Analysis. 127-136 - Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu:
Attributed Signed Network Embedding. 137-146 - Tianshu Lyu, Yuan Zhang, Yan Zhang:
Enhancing the Network Embedding Quality with Structural Similarity. 147-156 - Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo:
On Embedding Uncertain Graphs. 157-166
Session 1E: Web/App data
- Narayan Bhamidipati, Ravi Kant, Shaunak Mishra:
A Large Scale Prediction Engine for App Install Clicks and Conversions. 167-175 - Yu Su, Ahmed Hassan Awadallah, Madian Khabsa, Patrick Pantel, Michael Gamon, Mark J. Encarnación:
Building Natural Language Interfaces to Web APIs. 177-186 - Ahmed El-Roby, Ashraf Aboulnaga:
UFeed: Refining Web Data Integration Based on User Feedback. 187-196 - Roberto Panerai Velloso, Carina F. Dorneles:
Extracting Records from the Web Using a Signal Processing Approach. 197-206
Session 1F: Graph data
- Akshay Kansal, Francesca Spezzano:
A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases. 207-216 - Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao:
Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. 217-226 - Shuo Han, Lei Zou, Jeffrey Xu Yu, Dongyan Zhao:
Keyword Search on RDF Graphs - A Query Graph Assembly Approach. 227-236 - Hongjian Wang, Zhenhui Li:
Region Representation Learning via Mobility Flow. 237-246
Session 2A: Ranking
- Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. 247-256 - Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. 257-266 - Asia J. Biega, Azin Ghazimatin, Hakan Ferhatosmanoglu, Krishna P. Gummadi, Gerhard Weikum:
Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities. 267-276 - Harrie Oosterhuis, Maarten de Rijke:
Balancing Speed and Quality in Online Learning to Rank for Information Retrieval. 277-286
Session 2B: Crowdsourcing 1
- Chang Liu, Yinan Zhang, Lei Liu, Lizhen Cui, Dong Yuan, Chunyan Miao:
Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions. 287-295 - Yan Zhao, Yang Li, Yu Wang, Han Su, Kai Zheng:
Destination-aware Task Assignment in Spatial Crowdsourcing. 297-306 - Xueping Weng, Guoliang Li, Huiqi Hu, Jianhua Feng:
Crowdsourced Selection on Multi-Attribute Data. 307-316 - Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan:
Select Your Questions Wisely: For Entity Resolution With Crowd Errors. 317-326
Session 2C: Recommendation 1
- Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda:
Reply With: Proactive Recommendation of Email Attachments. 327-336 - Xiao Lin, Min Zhang, Yongfeng Zhang, Yiqun Liu, Shaoping Ma:
Learning and Transferring Social and Item Visibilities for Personalized Recommendation. 337-346 - Hongwei Wang, Jia Wang, Miao Zhao, Jiannong Cao, Minyi Guo:
Joint Topic-Semantic-aware Social Recommendation for Online Voting. 347-356 - Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester:
Interactive Social Recommendation. 357-366
Session 2D: Network Embedding 2
- Dejian Yang, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li:
From Properties to Links: Deep Network Embedding on Incomplete Graphs. 367-376 - Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria:
Learning Community Embedding with Community Detection and Node Embedding on Graphs. 377-386 - Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. 387-396 - Yao Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu:
Learning Node Embeddings in Interaction Graphs. 397-406
Session 2E: Skyline Queries
- Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Computation of Subspace Skyline over Categorical Domains. 407-416 - Wenhui Yu, Zheng Qin, Jinfei Liu, Li Xiong, Xu Chen, Huidi Zhang:
Fast Algorithms for Pareto Optimal Group-based Skyline. 417-426 - Kaiqi Zhang, Hong Gao, Xixian Han, Zhipeng Cai, Jianzhong Li:
Probabilistic Skyline on Incomplete Data. 427-436 - Haoyu Zhang, Qin Zhang:
Communication-Efficient Distributed Skyline Computation. 437-446
Session 2F: Social Media Analysis
- Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal:
Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary. 447-455 - Julia Proskurnia, Ruslan Mavlyutov, Carlos Castillo, Karl Aberer, Philippe Cudré-Mauroux:
Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts. 457-466 - Changsha Ma, Zhisheng Yan, Chang Wen Chen:
LARM: A Lifetime Aware Regression Model for Predicting YouTube Video Popularity. 467-476 - Minkyoung Kim, Daniel A. McFarland, Jure Leskovec:
Modeling Affinity based Popularity Dynamics. 477-486
Session 3A: Spatiotemporal
- Ying Lu, Gregor Jossé, Tobias Emrich, Ugur Demiryurek, Matthias Renz, Cyrus Shahabi, Matthias Schubert:
Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem. 487-496 - Xiangyu Zhao, Jiliang Tang:
Modeling Temporal-Spatial Correlations for Crime Prediction. 497-506 - Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan:
Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data. 507-516 - Wei Chen, Hongzhi Yin, Weiqing Wang, Lei Zhao, Wen Hua, Xiaofang Zhou:
Exploiting Spatio-Temporal User Behaviors for User Linkage. 517-526
Session 3B: Short text retrieval
- Jiepu Jiang, James Allan:
Similarity-based Distant Supervision for Definition Retrieval. 527-536 - Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:
Hybrid BiLSTM-Siamese network for FAQ Assistance. 537-545 - Tanay Kumar Saha, Shafiq R. Joty, Naeemul Hassan, Mohammad Al Hasan:
Regularized and Retrofitted models for Learning Sentence Representation with Context. 547-556 - Jinfeng Rao, Ferhan Türe, Hua He, Oliver Jojic, Jimmy Lin:
Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks. 557-566
Session 3C: Community Detection
- Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
GPU-Accelerated Graph Clustering via Parallel Label Propagation. 567-576 - Hossein Fani, Ebrahim Bagheri, Weichang Du:
Temporally Like-minded User Community Identification through Neural Embeddings. 577-586 - Zheng Chen, Xinli Yu, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang:
Community-Based Network Alignment for Large Attributed Network. 587-596 - Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. 597-606
Session 3D: Time Series
- Marco Cristo, Raíza Hanada, André Luiz da Costa Carvalho, Fernando Anglada Lores, Maria da Graça Campos Pimentel:
Fast Word Recognition for Noise channel-based Models in Scenarios with Noise Specific Domain Knowledge. 607-616 - Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng, Jiawei Han:
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. 617-626 - Abhirup Ghosh, Christopher Lucas, Rik Sarkar:
Finding Periodic Discrete Events in Noisy Streams. 627-636 - Patrick Schäfer, Ulf Leser:
Fast and Accurate Time Series Classification with WEASEL. 637-646
Session 3E: Query processing
- Hannah Bast, Björn Buchhold:
QLever: A Query Engine for Efficient SPARQL+Text Search. 647-656 - Xuntao Cheng, Bingsheng He, Xiaoli Du, Chiew Tong Lau:
A Study of Main-Memory Hash Joins on Many-core Processor: A Case with Intel Knights Landing Architecture. 657-666 - Yingfan Liu, Hong Cheng, Jiangtao Cui:
PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. 667-676 - Alistair Moffat, Matthias Petri:
ANS-Based Index Compression. 677-686
Session 3F: Temporal data
- Bin Cao, Chenyu Hou, Jing Fan:
Covering the Optimal Time Window Over Temporal Data. 687-696 - Melisachew Wudage Chekol:
Scaling Probabilistic Temporal Query Evaluation. 697-706 - Boxiang Dong, Zhengzhang Chen, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen:
Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. 707-715 - Yating Zhang, Adam Jatowt, Katsumi Tanaka:
Temporal Analog Retrieval using Transformation over Dual Hierarchical Structures. 717-726
Session 4A: Evaluation
- Kyle Williams, Imed Zitouni:
Does That Mean You're Happy?: RNN-based Modeling of User Interaction Sequences to Detect Good Abandonment. 727-736 - Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa:
Deep Sequential Models for Task Satisfaction Prediction. 737-746 - Jiepu Jiang, James Allan:
Adaptive Persistence for Search Effectiveness Measures. 747-756 - Widad Machmouchi, Ahmed Hassan Awadallah, Imed Zitouni, Georg Buscher:
Beyond Success Rate: Utility as a Search Quality Metric for Online Experiments. 757-765
Session 4B: News and credibility
- Ida Mele, Seyed Ali Bahrainian, Fabio Crestani:
Linking News across Multiple Streams for Timeliness Analysis. 767-776 - Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu:
Growing Story Forest Online from Massive Breaking News. 777-785 - Wee-Yong Lim, Mong-Li Lee, Wynne Hsu:
iFACT: An Interactive Framework to Assess Claims from Tweets. 787-796 - Natali Ruchansky, Sungyong Seo, Yan Liu:
CSI: A Hybrid Deep Model for Fake News Detection. 797-806
Session 4C: Outliers and Anomaly Detection
- Guansong Pang, Hongzuo Xu, Longbing Cao, Wentao Zhao:
Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. 807-816 - Mengxiao Zhu, Charu C. Aggarwal, Shuai Ma, Hui Zhang, Jinpeng Huai:
Outlier Detection in Sparse Data with Factorization Machines. 817-826 - Xian Teng, Yu-Ru Lin, Xidao Wen:
Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning. 827-836 - Hao Wu, Weiwei Sun, Baihua Zheng:
A Fast Trajectory Outlier Detection Approach via Driving Behavior Modeling. 837-846
Session 4D: Graph Mining 1
- Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv:
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. 859-868 - Tuan-Anh Hoang, Ee-Peng Lim:
Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks. 869-878 - Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem. 879-888 - Chun Wang, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang:
MGAE: Marginalized Graph Autoencoder for Graph Clustering. 889-898
Session 4E: Online learning, Stream mining
- Theodore Vasiloudis, Foteini Beligianni, Gianmarco De Francisci Morales:
BoostVHT: Boosting Distributed Streaming Decision Trees. 899-908 - Nick G. Duffield, Yunhong Xu, Liangzhen Xia, Nesreen K. Ahmed, Minlan Yu:
Stream Aggregation Through Order Sampling. 909-918 - Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Bo Dong, Latifur Khan, Kevin W. Hamlen:
FUSION: An Online Method for Multistream Classification. 919-928
Session 5A: Tensor analysis
- Shuguang Hu, Xiaowei Wu, T.-H. Hubert Chan:
Maintaining Densest Subsets Efficiently in Evolving Hypergraphs. 929-938 - Yuqi Wang, Jiannong Cao, Lifang He, Wengen Li, Lichao Sun, Philip S. Yu:
Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services. 939-947 - Qiquan Shi, Haiping Lu, Yiu-ming Cheung:
Tensor Rank Estimation and Completion via CP-based Nuclear Norm. 949-958 - Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang:
Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract. 959-967
Session 5B: Application driven mining
- Ariyam Das, Ishan Upadhyaya, Xiangrui Meng, Ameet Talwalkar:
Collaborative Filtering as a Case-Study for Model Parallelism on Bulk Synchronous Systems. 969-977 - Yuling Shi, Zhiyong Peng, Hongning Wang:
Modeling Student Learning Styles in MOOCs. 979-988 - Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Run-ze Wu, Yu Su, Guoping Hu:
Tracking Knowledge Proficiency of Students with Educational Priors. 989-998 - Zhe Chen, Sasha Dadiomov, Richard Wesley, Gang Xiao, Daniel Cory, Michael J. Cafarella, Jock D. Mackinlay:
Spreadsheet Property Detection With Rule-assisted Active Learning. 999-1008
Session 5C: Deep Learning 1
- Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo:
Learning Knowledge Embeddings by Combining Limit-based Scoring Loss. 1009-1018 - Zhengjie Huang, Zi Ye, Shuangyin Li, Rong Pan:
Length Adaptive Recurrent Model for Text Classification. 1019-1027 - Yi Tay, Luu Anh Tuan, Minh C. Phan, Siu Cheung Hui:
Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs. 1029-1038 - Jie Chen, Jie Shao, Fumin Shen, Chengkun He, Lianli Gao, Heng Tao Shen:
Movie Fill in the Blank with Adaptive Temporal Attention and Description Update. 1039-1048
Session 6A: Crowdsourcing 2
- Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan:
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. 1049-1057 - Tao Han, Hailong Sun, Yangqiu Song, Zizhe Wang, Xudong Liu:
Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition. 1059-1068 - Jiyi Li, Yukino Baba, Hisashi Kashima:
Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing. 1069-1078 - Yusan Lin, Peifeng Yin, Wang-Chien Lee:
Modeling Menu Bundle Designs of Crowdfunding Projects. 1079-1088
Session 6B: User behavior and targeting
- Krunal Parmar, Samuel Bushi, Sourangshu Bhattacharya, Surender Kumar:
Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes. 1089-1098 - Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu:
Volume Ranking and Sequential Selection in Programmatic Display Advertising. 1099-1107 - Huan Yan, Tzu-Heng Lin, Gang Wang, Yong Li, Haitao Zheng, Depeng Jin, Ben Y. Zhao:
On Migratory Behavior in Video Consumption. 1109-1118 - Sha Li, Xiaofeng Gao, Weiming Bao, Guihai Chen:
FM-Hawkes: A Hawkes Process Based Approach for Modeling Online Activity Correlations. 1119-1128
Session 6C: Deep Learning 2
- Zahra Zohrevand, Uwe Glässer, Mohammad A. Tayebi, Hamed Yaghoubi Shahir, Mehdi Shirmaleki, Amir Yaghoubi Shahir:
Deep Learning Based Forecasting of Critical Infrastructure Data. 1129-1138 - Wonsung Lee, Kyungwoo Song, Il-Chul Moon:
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. 1139-1148 - Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng:
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. 1149-1158 - Meng Hu, Zhixu Li, Yongxin Shen, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao:
CNN-IETS: A CNN-based Probabilistic Approach for Information Extraction by Text Segmentation. 1159-1168
Session 7A: Health Analytics 1
- Zitao Liu, Milos Hauskrecht:
A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection. 1169-1177 - Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu:
DiagTree: Diagnostic Tree for Differential Diagnosis. 1179-1188 - Jiazhi Ni, Jie Liu, Chenxin Zhang, Dan Ye, Zhirou Ma:
Fine-grained Patient Similarity Measuring using Deep Metric Learning. 1189-1198