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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, Runze 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 - Thông T. Nguyên, Siu Cheung Hui:
Differentially Private Regression for Discrete-Time Survival Analysis. 1199-1208
Session 7B: Privacy Preserving Data Mining
- Huandong Wang, Chen Gao, Yong Li, Zhi-Li Zhang, Depeng Jin:
From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs. 1209-1218 - Lingjuan Lyu, Xuanli He, Yee Wei Law, Marimuthu Palaniswami:
Privacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition. 1219-1228 - Sutapa Mondal, Manish Shukla, Sachin Lodha:
Privacy Aware Temporal Profiling of Emails in Distributed Setup. 1229-1238 - Baichuan Zhang, Mohammad Al Hasan:
Name Disambiguation in Anonymized Graphs using Network Embedding. 1239-1248
Session 7C: Social Networks 1
- Rui Dong, Yizhou Sun, Lu Wang, Yupeng Gu, Yuan Zhong:
Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction. 1249-1258 - Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li, Wanhong Zheng:
Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies. 1259-1267 - Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang:
Understanding and Predicting Weight Loss with Mobile Social Networking Data. 1269-1278 - Wen-Haw Chong, Ee-Peng Lim:
Tweet Geolocation: Leveraging Location, User and Peer Signals. 1279-1288
Session 7D: Application driven analysis
- Bin Liu, Min Zhang, Weizhi Ma, Xin Li, Yiqun Liu, Shaoping Ma:
A Two-step Information Accumulation Strategy for Learning from Highly Imbalanced Data. 1289-1298 - Cong Yan, Alvin Cheung, Junwen Yang, Shan Lu:
Understanding Database Performance Inefficiencies in Real-world Web Applications. 1299-1308 - Hoang Dung Vu, Kok-Soon Chai, Bryan D. Keating, Nurislam Tursynbek, Boyan Xu, Kaige Yang, Xiaoyan Yang, Zhenjie Zhang:
Data Driven Chiller Plant Energy Optimization with Domain Knowledge. 1309-1317 - Sreenivas Gollapudi, Ravi Kumar, Debmalya Panigrahi, Rina Panigrahy:
Partitioning Orders in Online Shopping Services. 1319-1328
Session 7E: Text Mining
- Amit Gupta, Rémi Lebret, Hamza Harkous, Karl Aberer:
Taxonomy Induction Using Hypernym Subsequences. 1329-1338 - Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han:
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. 1339-1348 - Yuxiang Zhang, Yaocheng Chang, Xiaoqing Liu, Sujatha Das Gollapalli, Xiaoli Li, Chunjing Xiao:
MIKE: Keyphrase Extraction by Integrating Multidimensional Information. 1349-1358 - Yixuan Tang, Weilong Huang, Qi Liu, Anthony K. H. Tung, Xiaoli Wang, Jisong Yang, Beibei Zhang:
QALink: Enriching Text Documents with Relevant Q&A Site Contents. 1359-1368
Session 7F: Efficient Learning
- Yanan Zheng, Lijie Wen, Jianmin Wang, Jun Yan, Lei Ji:
Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory. 1369-1378 - Kun Qian, Lucian Popa, Prithviraj Sen:
Active Learning for Large-Scale Entity Resolution. 1379-1388 - Dung D. Le, Hady W. Lauw:
Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation. 1389-1398 - Aman Grover, Dhruv Arya, Ganesh Venkataraman:
Latency Reduction via Decision Tree Based Query Construction. 1399-1407
Session 7G: Recommendation 2
- Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu:
Broad Learning based Multi-Source Collaborative Recommendation. 1409-1418 - Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, Jun Ma:
Neural Attentive Session-based Recommendation. 1419-1428 - Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation. 1429-1438 - Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee:
Recommendation with Capacity Constraints. 1439-1448
Session 8A: Recommendation 3
- Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft:
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. 1449-1458 - Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax:
Interacting Attention-gated Recurrent Networks for Recommendation. 1459-1468 - Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation. 1469-1478 - Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou:
BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. 1479-1488
Session 8B: Text analysis
- Haixin Jiang, Rui Zhou, Limeng Zhang, Hua Wang, Yanchun Zhang:
A Topic Model Based on Poisson Decomposition. 1489-1498 - Rui Wang, Wei Liu, Chris McDonald:
A Matrix-Vector Recurrent Unit Model for Capturing Compositional Semantics in Phrase Embeddings. 1499-1507 - Hosein Azarbonyad, Mostafa Dehghani, Kaspar Beelen, Alexandra Arkut, Maarten Marx, Jaap Kamps:
Words are Malleable: Computing Semantic Shifts in Political and Media Discourse. 1509-1518 - Gaurav Singh, Iain James Marshall, James Thomas, John Shawe-Taylor, Byron C. Wallace:
A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation. 1519-1528
Session 8C: Adversarial IR
- Dong Yuan, Guoliang Li, Qi Li, Yudian Zheng:
Sybil Defense in Crowdsourcing Platforms. 1529-1538 - Shenghua Liu, Bryan Hooi, Christos Faloutsos:
HoloScope: Topology-and-Spike Aware Fraud Detection. 1539-1548 - Imrul Chowdhury Anindya, Harichandan Roy, Murat Kantarcioglu, Bradley A. Malin:
Building a Dossier on the Cheap: Integrating Distributed Personal Data Resources Under Cost Constraints. 1549-1558 - Yuhong Li, Dongmei Hou, Aimin Pan, Zhiguo Gong:
DeMalC: A Feature-rich Machine Learning Framework for Malicious Call Detection. 1559-1567
Session 8D: Health Analytics 2/ Top-k
- Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates:
FA*IR: A Fair Top-k Ranking Algorithm. 1569-1578 - Kaiping Zheng, Wei Wang, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, James Wei Luen Yip:
Capturing Feature-Level Irregularity in Disease Progression Modeling. 1579-1588 - Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama:
Health Forum Thread Recommendation Using an Interest Aware Topic Model. 1589-1598
Session 8E: Social Networks 2
- Liangzhe Chen, Xinfeng Xu, Sangkeun Lee, Sisi Duan, Alfonso G. Tarditi, Supriya Chinthavali, B. Aditya Prakash:
HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks. 1599-1607 - Lucky Dhakad, Mrinal Kanti Das, Chiranjib Bhattacharyya, Samik Datta, Mihir Kale, Vivek Mehta:
SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process. 1609-1618 - Xin Zheng, Aixin Sun, Sibo Wang, Jialong Han:
Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation. 1619-1628 - Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han:
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. 1629-1638
Session 8F: Feature/Entity Selection
- Shuai An, Jun Wang, Jinmao Wei, Zhenglu Yang:
Unsupervised Feature Selection with Joint Clustering Analysis. 1639-1648 - Ali Braytee, Wei Liu, Daniel R. Catchpoole, Paul J. Kennedy:
Multi-Label Feature Selection using Correlation Information. 1649-1656 - Yiyang Li, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang:
Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation. 1657-1665 - Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation. 1667-1676
Session 8G: Graph Mining 2
- Jia Li, Yang Cao, Shuai Ma:
Relaxing Graph Pattern Matching With Explanations. 1677-1686 - Eric Malmi, Aristides Gionis, Evimaria Terzi:
Active Network Alignment: A Matching-Based Approach. 1687-1696 - Mohammad Hossein Namaki, Yinghui Wu, Qi Song, Peng Lin, Tingjian Ge:
Discovering Graph Temporal Association Rules. 1697-1706 - Behzad Golshan, Evimaria Terzi:
Minimizing Tension in Teams. 1707-1715
Session 9A: Queries
- Jiabao Sun, Jiajie Xu, Kai Zheng, Chengfei Liu:
Interactive Spatial Keyword Querying with Semantics. 1727-1736 - Viet Ha-Thuc, Yan Yan, Xianren Wu, Vijay Dialani, Abhishek Gupta, Shakti Sinha:
From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach. 1737-1745 - Mostafa Dehghani, Sascha Rothe, Enrique Alfonseca, Pascal Fleury:
Learning to Attend, Copy, and Generate for Session-Based Query Suggestion. 1747-1756 - Zhen Liao, Xinying Song, Yelong Shen, Saekoo Lee, Jianfeng Gao, Ciya Liao:
Deep Context Modeling for Web Query Entity Disambiguation. 1757-1765
Session 9B: Representation learning
- Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. 1767-1776 - Zhen Tan, Xiang Zhao, Wei Wang:
Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations. 1777-1786 - Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou:
Learning Edge Representations via Low-Rank Asymmetric Projections. 1787-1796 - Tao-Yang Fu, Wang-Chien Lee, Zhen Lei:
HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning. 1797-1806
Session 9C: Graph Mining 3
- Edoardo Galimberti, Francesco Bonchi, Francesco Gullo:
Core Decomposition and Densest Subgraph in Multilayer Networks. 1807-1816 - Muhammad Anis Uddin Nasir, Aristides Gionis, Gianmarco De Francisci Morales, Sarunas Girdzijauskas:
Fully Dynamic Algorithm for Top-k Densest Subgraphs. 1817-1826 - Yu Rong, Hong Cheng:
Minimizing Dependence between Graphs. 1827-1836 - Mohamed F. Ghalwash, Ying Li, Ping Zhang, Jianying Hu:
Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results. 1837-1846
Session 9D: Relational Mining
- Sridevi Baskaran, Alexander Keller, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta:
Efficient Discovery of Ontology Functional Dependencies. 1847-1856 - Chenhao Xie, Lihan Chen, Jiaqing Liang, Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
Automatic Navbox Generation by Interpretable Clustering over Linked Entities. 1857-1865 - Marco Ponza, Paolo Ferragina, Soumen Chakrabarti:
A Two-Stage Framework for Computing Entity Relatedness in Wikipedia. 1867-1876 - Yuan He, Cheng Wang, Changjun Jiang:
Incorporating the Latent Link Categories in Relational Topic Modeling. 1877-1886
Session 9E: User characteristics
- Peifeng Yin, Zhe Liu, Anbang Xu, Taiga Nakamura:
Tone Analyzer for Online Customer Service: An Unsupervised Model with Interfered Training. 1887-1895 - Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena:
Nationality Classification Using Name Embeddings. 1897-1906 - Shengmin Jin, Reza Zafarani:
Emotions in Social Networks: Distributions, Patterns, and Models. 1907-1916 - Yan Zhuang, Guoliang Li, Zhuojian Zhong, Jianhua Feng:
Hike: A Hybrid Human-Machine Method for Entity Alignment in Large-Scale Knowledge Bases. 1917-1926
Session 9F: Engagement
- Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi:
Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. 1927-1936 - Qizhen Zhang, Tengyuan Ye, Meryem Essaidi, Shivani Agarwal, Vincent Liu, Boon Thau Loo:
Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis. 1937-1946 - Rupesh Gupta, Guanfeng Liang, Rómer Rosales:
Optimizing Email Volume For Sitewide Engagement. 1947-1955 - Mengdie Zhuang, Gianluca Demartini, Elaine G. Toms:
Understanding Engagement through Search Behaviour. 1957-1966
Short Papers (alphabetical by lead authors' last names)
- Dong An, Liangcai Gao, Zhuoren Jiang, Runtao Liu, Zhi Tang:
Citation Metadata Extraction via Deep Neural Network-based Segment Sequence Labeling. 1967-1970 - Samiul Anwar, Shuha Nabila, Tanzima Hashem:
A Novel Approach for Efficient Computation of Community Aware Ridesharing Groups. 1971-1974 - Jatin Arora, Sumit Agrawal, Pawan Goyal, Sayan Pathak:
Extracting Entities of Interest from Comparative Product Reviews. 1975-1978 - Ting Bai, Ji-Rong Wen, Jun Zhang, Wayne Xin Zhao:
A Neural Collaborative Filtering Model with Interaction-based Neighborhood. 1979-1982 - Laure Berti-Équille, Yury Zhauniarovich:
Profiling DRDoS Attacks with Data Analytics Pipeline. 1983-1986 - Weijie Bian, Si Li, Zhao Yang, Guang Chen, Zhiqing Lin:
A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection. 1987-1990 - Mohamed Reda Bouadjenek, Karin Verspoor, Justin Zobel:
Learning Biological Sequence Types Using the Literature. 1991-1994 - Chiyu Cai, Linjing Li, Daniel Zeng:
Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information. 1995-1998 - Yingjie Cao, Yangyang Zhang, Jianxin Li:
PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining. 1999-2002 - Miriam Cha, Youngjune Gwon, H. T. Kung:
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. 2003-2006 - Jing Chai, Weiwei Liu, Ivor W. Tsang, Xiao-Bo Shen:
Compact Multiple-Instance Learning. 2007-2010 - Chih-Yu Chao, Yi-Fan Chu, Hsiu-Wei Yang, Chuan-Ju Wang, Ming-Feng Tsai:
Text Embedding for Sub-Entity Ranking from User Reviews. 2011-2014 - Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining. 2015-2018 - Chengyao Chen, Zhitao Wang, Wenjie Li:
Modeling Opinion Influence with User Dual Identity. 2019-2022 - Ruey-Cheng Chen, Leif Azzopardi, Falk Scholer:
An Empirical Analysis of Pruning Techniques: Performance, Retrievability and Bias. 2023-2026 - Baiyun Cui, Yingming Li, Yaqing Zhang, Zhongfei Zhang:
Text Coherence Analysis Based on Deep Neural Network. 2027-2030 - Shaobo Dang, Xiongcai Cai, Yang Wang, Jianjia Zhang, Fang Chen:
Unsupervised Matrix-valued Kernel Learning For One Class Classification. 2031-2034 - Arash Dargahi Nobari, Negar Reshadatmand, Mahmood Neshati:
Analysis of Telegram, An Instant Messaging Service. 2035-2038 - Supratim Das, Arunav Mishra, Klaus Berberich, Vinay Setty:
Estimating Event Focus Time Using Neural Word Embeddings. 2039-2042 - Xiang Deng, Chaoran Cui, Huidi Fang, Xiushan Nie, Yilong Yin:
Personalized Image Aesthetics Assessment. 2043-2046 - Danhao Ding, Hui Li, Zhipeng Huang, Nikos Mamoulis:
Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core. 2047-2050 - Nghia Duong-Trung, Lars Schmidt-Thieme:
On Discovering the Number of Document Topics via Conceptual Latent Space. 2051-2054 - Shijia E, Yang Xiang:
Chinese Named Entity Recognition with Character-Word Mixed Embedding. 2055-2058 - Faezeh Ensan, Ebrahim Bagheri, Amal Zouaq, Alexandre Kouznetsov:
An Empirical Study of Embedding Features in Learning to Rank. 2059-2062 - Sedigheh Eslami, Asia J. Biega, Rishiraj Saha Roy, Gerhard Weikum:
Privacy of Hidden Profiles: Utility-Preserving Profile Removal in Online Forums. 2063-2066 - Zhou Fang, Tong Yu, Ole J. Mengshoel, Rajesh K. Gupta:
QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks. 2067-2070 - Adam Fourney, Miklós Z. Rácz, Gireeja Ranade, Markus Mobius, Eric Horvitz:
Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election. 2071-2074 - Felan Carlo C. Garcia, Erees Queen B. Macabebe:
Inferring Appliance Energy Usage from Smart Meters using Fully Convolutional Encoder Decoder Networks. 2075-2078 - Garima Gaur, Srikanta J. Bedathur, Arnab Bhattacharya:
Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials. 2079-2082 - Lei Gu, Liying Zhang, Yang Zhao:
An Euclidean Distance based on the Weighted Self-information Related Data Transformation for Nominal Data Clustering. 2083-2086 - Mukul Gupta, Pradeep Kumar, Rajhans Mishra:
Interest Diffusion in Heterogeneous Information Network for Personalized Item Ranking. 2087-2090 - Matthias Hagen, Martin Potthast, Payam Adineh, Ehsan Fatehifar, Benno Stein:
Source Retrieval for Web-Scale Text Reuse Detection. 2091-2094 - Casper Hansen, Christian Hansen, Stephen Alstrup, Christina Lioma:
Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care. 2095-2098 - Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng:
Fast K-means for Large Scale Clustering. 2099-2102 - Ruiqi Hu, Shirui Pan, Jing Jiang, Guodong Long:
Graph Ladder Networks for Network Classification. 2103-2106 - Xu Hu, Jun Huang, Minghui Qiu:
A Communication Efficient Parallel DBSCAN Algorithm based on Parameter Server. 2107-2110 - Longtao Huang, Lin Zhao, Shangwen Lv, Fangzhou Lu, Yue Zhai, Songlin Hu:
KIEM: A Knowledge Graph based Method to Identify Entity Morphs. 2111-2114 - Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu:
Ontology-based Graph Visualization for Summarized View. 2115-2118 - Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen:
An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers. 2119-2122 - Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Sang-Wook Kim:
A Framework for Estimating Execution Times of IO Traces on SSDs. 2123-2126 - Mami Kawasaki, Inho Kang, Tetsuya Sakai:
Ranking Rich Mobile Verticals based on Clicks and Abandonment. 2127-2130 - Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Rafael Peñaloza, Gulnar Mehdi, Mikhail Roshchin, Ian Horrocks:
Semantic Rules for Machine Diagnostics: Execution and Management. 2131-2134 - Jaehyung Kim, Jinuk Park, Sanghyun Park:
Machine Learning based Performance Modeling of Flash SSDs. 2135-2138 - Sunjae Kwon, Youngjoong Ko, Jungyun Seo:
A Robust Named-Entity Recognition System Using Syllable Bigram Embedding with Eojeol Prefix Information. 2139-2142 - Jae-woong Lee, Jongwuk Lee:
IDAE: Imputation-boosted Denoising Autoencoder for Collaborative Filtering. 2143-2146 - Kwang Hee Lee, Myoung-Ho Kim:
Computing Betweenness Centrality in B-hypergraphs. 2147-2150 - Yang-Yin Lee, Ting-Yu Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Structural-fitting Word Vectors to Linguistic Ontology for Semantic Relatedness Measurement. 2151-2154 - Yu Lei, Wenjie Li, Ziyu Lu, Miao Zhao:
Alternating Pointwise-Pairwise Learning for Personalized Item Ranking. 2155-2158 - Tong Li, Sheng Gao, Yajing Xu:
Deep Multi-Similarity Hashing for Multi-label Image Retrieval. 2159-2162 - Yuqi Li, Weizheng Chen, Hongfei Yan:
Learning Graph-based Embedding For Time-Aware Product Recommendation. 2163-2166 - Junjie Lin, Wenji Mao, Yuhao Zhang:
An Enhanced Topic Modeling Approach to Multiple Stance Identification. 2167-2170 - Hao Liu, Yudian Ji, Jiang Xiao, Haoyu Tan, Qiong Luo, Lionel M. Ni:
TICC: Transparent Inter-Column Compression for Column-Oriented Database Systems. 2171-2174 - Shen Liu, Hongyan Liu:
Exploiting User Consuming Behavior for Effective Item Tagging. 2175-2178 - Siqiang Luo, Jiafeng Hu, Reynold Cheng, Jing Yan, Ben Kao:
SEQ: Example-based Query for Spatial Objects. 2179-2182 - Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Truth Discovery by Claim and Source Embedding. 2183-2186 - Arpan Mandal, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Automatic Catchphrase Identification from Legal Court Case Documents. 2187-2190 - Behrooz Mansouri, Mohammad Sadegh Zahedi, Maseud Rahgozar, Farhad Oroumchian, Ricardo Campos:
Learning Temporal Ambiguity in Web Search Queries. 2191-2194 - Ilya Markov, Alexey Borisov, Maarten de Rijke:
Online Expectation-Maximization for Click Models. 2195-2198 - Rishabh Mehrotra, Emine Yilmaz:
Task Embeddings: Learning Query Embeddings using Task Context. 2199-2202 - Zhao Meng, Lili Mou, Zhi Jin:
Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection. 2203-2206 - Aditya Krishna Menon, Young Lee:
Predicting Short-Term Public Transport Demand via Inhomogeneous Poisson Processes. 2207-2210 - Norman Meuschke, Moritz Schubotz, Felix Hamborg, Tomás Skopal, Bela Gipp:
Analyzing Mathematical Content to Detect Academic Plagiarism. 2211-2214 - Changsung Moon, Paul Jones, Nagiza F. Samatova:
Learning Entity Type Embeddings for Knowledge Graph Completion. 2215-2218 - Sara Mumtaz, Xiaoyang Wang:
Identifying Top-K Influential Nodes in Networks. 2219-2222 - Mir Tafseer Nayeem, Yllias Chali:
Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation. 2223-2226 - Dat Ba Nguyen, Martin Theobald, Gerhard Weikum:
J-REED: Joint Relation Extraction and Entity Disambiguation. 2227-2230 - Trong T. Nguyen, Hady W. Lauw:
Collaborative Topic Regression with Denoising AutoEncoder for Content and Community Co-Representation. 2231-2234 - Massimo Nicosia, Alessandro Moschitti:
Accurate Sentence Matching with Hybrid Siamese Networks. 2235-2238 - Shuzi Niu, Rongzhi Zhang:
Collaborative Sequence Prediction for Sequential Recommender. 2239-2242 - Petr Osicka, Martin Trnecka:
Boolean Matrix Decomposition by Formal Concept Sampling. 2243-2246 - Soumajit Pal, Jacopo Urbani:
Enhancing Knowledge Graph Completion By Embedding Correlations. 2247-2250 - Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu:
Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. 2251-2254 - Keunchan Park, Jisoo Lee, Jaeho Choi:
Deep Neural Networks for News Recommendations. 2255-2258 - Ayush Patwari, Dan Goldwasser, Saurabh Bagchi:
TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates. 2259-2262 - Dimitrios Rafailidis, Fabio Crestani:
A Collaborative Ranking Model for Cross-Domain Recommendations. 2263-2266 - Anurag Roy, Trishnendu Ghorai, Kripabandhu Ghosh, Saptarshi Ghosh:
Combining Local and Global Word Embeddings for Microblog Stemming. 2267-2270 - Dwaipayan Roy:
An Improved Test Collection and Baselines for Bibliographic Citation Recommendation. 2271-2274 - Aghiles Salah, Melissa Ailem, Mohamed Nadif:
A Way to Boost Semi-NMF for Document Clustering. 2275-2278 - Satoshi Sanjo, Marie Katsurai:
Recipe Popularity Prediction with Deep Visual-Semantic Fusion. 2279-2282 - Antonia Saravanou, Ioannis Katakis, George Valkanas, Vana Kalogeraki, Dimitrios Gunopulos:
Revealing the Hidden Links in Content Networks: An Application to Event Discovery. 2283-2286 - Arun V. Sathanur, Sutanay Choudhury, Cliff A. Joslyn, Sumit Purohit:
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. 2287-2290 - Harrisen Scells, Guido Zuccon, Bevan Koopman, Anthony Deacon, Leif Azzopardi, Shlomo Geva:
Integrating the Framing of Clinical Questions via PICO into the Retrieval of Medical Literature for Systematic Reviews. 2291-2294 - Jung Hyuk Seo, Myoung Ho Kim:
pm-SCAN: an I/O Efficient Structural Clustering Algorithm for Large-scale Graphs. 2295-2298 - Jun Shi, Huan Gao, Guilin Qi, Zhangquan Zhou:
Knowledge Graph Embedding with Triple Context. 2299-2302 - Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. 2303-2306 - Luca Soldaini, Andrew Yates, Nazli Goharian:
Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model. 2307-2310 - Xingshen Song, Yuexiang Yang, Xiaoyong Li:
SIMD-Based Multiple Sets Intersection with Dual-Scale Search Algorithm. 2311-2314 - Avikalp Srivastava, Madhav Datt:
Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval. 2315-2318 - Rade Stanojevic:
How Safe is Your (Taxi) Driver? 2319-2322 - Jiaxing Tan, Alexander Kotov, Rojiar Pir Mohammadiani, Yumei Huo:
Sentence Retrieval with Sentiment-specific Topical Anchoring for Review Summarization. 2323-2326 - Shixin Tian, Ying Cai:
Visualizing Deep Neural Networks with Interaction of Super-pixels. 2327-2330 - Saki Ueda, Yuto Yamaguchi, Hiroyuki Kitagawa:
Collecting Non-Geotagged Local Tweets via Bandit Algorithms. 2331-2334 - Amir Pouran Ben Veyseh, Javid Ebrahimi, Dejing Dou, Daniel Lowd:
A Temporal Attentional Model for Rumor Stance Classification. 2335-2338 - Cheng Wang, Yujuan Fang, Zheng Tan, Yuan He:
Improving the Gain of Visual Perceptual Behaviour on Topic Modeling for Text Recommendation. 2339-2342 - Yan Wang, Zongxu Qin, Jun Pang, Yang Zhang, Jin Xin:
Semantic Annotation for Places in LBSN through Graph Embedding. 2343-2346 - Yiren Wang, Dominic Seyler, Shubhra Kanti Karmaker Santu, ChengXiang Zhai:
A Study of Feature Construction for Text-based Forecasting of Time Series Variables. 2347-2350 - Yiwei Wang, Mark James Carman, Yuan-Fang Li:
Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter. 2351-2354 - Yutong Wang, Yixin Xu, Min Yang, Zhou Zhao, Jun Xiao, Yueting Zhuang:
Integrating Side Information for Boosting Machine Comprehension. 2355-2358 - Xiaokai Wei, Bokai Cao, Philip S. Yu:
Unsupervised Feature Selection with Heterogeneous Side Information. 2359-2362 - Joyce Jiyoung Whang:
An Empirical Study of Community Overlap: Ground-truth, Algorithmic Solutions, and Implications. 2363-2366 - Joyce Jiyoung Whang, Inderjit S. Dhillon:
Non-Exhaustive, Overlapping Co-Clustering. 2367-2370 - Jerome White, Douglas W. Oard:
Simulating Zero-Resource Spoken Term Discovery. 2371-2374 - Colin Wilkie, Leif Azzopardi:
Algorithmic Bias: Do Good Systems Make Relevant Documents More Retrievable? 2375-2378 - Chen Wu, Ming Yan:
Session-aware Information Embedding for E-commerce Product Recommendation. 2379-2382 - Siyuan Wu, Leong Hou U, Sourav S. Bhowmick, Wolfgang Gatterbauer:
Conflict of Interest Declaration and Detection System in Heterogeneous Networks. 2383-2386 - Changsheng Xiang, Xiaoming Jin:
Common-Specific Multimodal Learning for Deep Belief Network. 2387-2390 - Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Eduard H. Hovy:
JointSem: Combining Query Entity Linking and Entity based Document Ranking. 2391-2394 - Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu:
Learning to Rank with Query-level Semi-supervised Autoencoders. 2395-2398 - Nan Xu, Wenji Mao:
MultiSentiNet: A Deep Semantic Network for Multimodal Sentiment Analysis. 2399-2402 - Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu:
Attentive Graph-based Recursive Neural Network for Collective Vertex Classification. 2403-2406 - Hongxia Yang:
Bayesian Heteroscedastic Matrix Factorization for Conversion Rate Prediction. 2407-2410 - Di Yao, Chao Zhang, Jian-Hui Huang, Jingping Bi:
SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories. 2411-2414 - Chia-An Yu, Tak-Shing Chan, Yi-Hsuan Yang:
Low-Rank Matrix Completion over Finite Abelian Group Algebras for Context-Aware Recommendation. 2415-2418 - Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
Spectrum-based Deep Neural Networks for Fraud Detection. 2419-2422 - Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang:
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. 2423-2426 - Zhi-Lin Zhao, Chang-Dong Wang, Kun-Yu Lin, Jian-Huang Lai:
Missing Value Learning. 2427-2430 - Jing Zheng, Fuzhen Zhuang, Chuan Shi:
Local Ensemble across Multiple Sources for Collaborative Filtering. 2431-2434 - Endong Zhu, Yanghui Rao, Haoran Xie, Yuwei Liu, Jian Yin, Fu Lee Wang:
Cluster-level Emotion Pattern Matching for Cross-Domain Social Emotion Classification. 2435-2438 - Shuguang Zhu, Xiang Cheng, Sen Su, Shuang Lang:
Knowledge-based Question Answering by Jointly Generating, Copying and Paraphrasing. 2439-2442
Demonstrations (alphabetical by lead authors' last names)
- Yael Amsterdamer, Oded Goldreich:
PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World. 2443-2446 - Arif Arman, Mohammed Eunus Ali, Farhana Murtaza Choudhury, Kaysar Abdullah:
VizQ: A System for Scalable Processing of Visibility Queries in 3D Spatial Databases. 2447-2450 - Amin Beheshti, Boualem Benatallah, Reza Nouri, Van Munin Chhieng, HuangTao Xiong, Xu Zhao:
CoreDB: a Data Lake Service. 2451-2454 - Maya Ekron, Tova Milo, Brit Youngmann:
SimMeme: Semantic-Based Meme Search. 2455-2458 - Guy Feigenblat, Odellia Boni, Haggai Roitman, David Konopnicki:
SummIt: A Tool for Extractive Summarization, Discovery and Analysis. 2459-2462 - Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia:
Rapid Analysis of Network Connectivity. 2463-2466 - Nina C. Hubig, Linnea Passing, Maximilian E. Schüle, Dimitri Vorona, Alfons Kemper, Thomas Neumann:
HyPerInsight: Data Exploration Deep Inside HyPer. 2467-2470 - Adam Jatowt, Ricardo Campos:
Interactive System for Reasoning about Document Age. 2471-2474 - Evgeny Kharlamov, Luca Giacomelli, Evgeny Sherkhonov, Bernardo Cuenca Grau, Egor V. Kostylev, Ian Horrocks:
SemFacet: Making Hard Faceted Search Easier. 2475-2478 - Sebastian Kruse, David Hahn, Marius Walter, Felix Naumann:
Metacrate: Organize and Analyze Millions of Data Profiles. 2483-2486 - Tuan M. V. Le, Hady W. Lauw:
SemVis: Semantic Visualization for Interactive Topical Analysis. 2487-2490 - Julien Leblay, Weiling Chen, Steven J. Lynden:
Exploring the Veracity of Online Claims with BackDrop. 2491-2494 - Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu:
AliMe Assist : An Intelligent Assistant for Creating an Innovative E-commerce Experience. 2495-2498 - Guanyao Li, Chun-Jie Chen, Sheng-Yun Huang, Ai-Jou Chou, Xiaochuan Gou, Wen-Chih Peng, Chih-Wei Yi:
Public Transportation Mode Detection from Cellular Data. 2499-2502 - Mengxiong Liu, Zhengchao Liu, Chao Zhang, Keyang Zhang, Quan Yuan, Tim Hanratty, Jiawei Han:
Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data. 2503-2506 - Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler:
SemDia: Semantic Rule-Based Equipment Diagnostics Tool. 2507-2510 - Sergey Paramonov, Samuel Kolb, Tias Guns, Luc De Raedt:
TaCLe: Learning Constraints in Tabular Data. 2511-2514 - Fabio Persia, Fabio Bettini, Sven Helmer:
An Interactive Framework for Video Surveillance Event Detection and Modeling. 2515-2518 - Steffen Remus, Manuel Kaufmann, Kathrin Ballweg, Tatiana von Landesberger, Chris Biemann:
Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web. 2519-2522 - Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen:
IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks. 2523-2526 - Salman Ahmed Shaikh, Hiroyuki Kitagawa:
StreamingCube: A Unified Framework for Stream Processing and OLAP Analysis. 2527-2530 - Tomás Skopal, Ladislav Peska, Gregor Kovalcík, Tomás Grosup, Jakub Lokoc:
Product Exploration based on Latent Visual Attributes. 2531-2534 - Sia Xin Yun Suzanna, Anthony Lianjie Li:
Hierarchical Module Classification in Mixed-initiative Conversational Agent System. 2535-2538 - Hoang Tam Vo, Lenin Mehedy, Mukesh K. Mohania, Ermyas Abebe:
Blockchain-based Data Management and Analytics for Micro-insurance Applications. 2539-2542 - Hongzhi Wang, Xiaoou Ding, Xiangying Chen, Jianzhong Li, Hong Gao:
CleanCloud: Cleaning Big Data on Cloud. 2543-2546 - Mingrui Wei, Lei Cao, Chris Cormier, Hui Zheng, Elke A. Rundensteiner:
Interactive Analytics System for Exploring Outliers. 2547-2550 - Jianqiu Xu, Ralf Hartmut Güting:
Query and Animate Multi-attribute Trajectory Data. 2551-2554 - Shi Zhi, Yicheng Sun, Jiayi Liu, Chao Zhang, Jiawei Han:
ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases. 2555-2558 - Ping Zhong, Zhanhuai Li, Qun Chen, Yanyan Wang, Lianping Wang, Murtadha H. M. Ahmed, Fengfeng Fan:
POOLSIDE: An Online Probabilistic Knowledge Base for Shopping Decision Support. 2559-2562
Workshops
- Mohammed Hasanuzzaman, Gaël Dias, Adam Jatowt, Marten Düring, Antal van den Bosch:
Overview of the 4th HistoInformatics Workshop. 2563-2564 - Xia Hu, Shuiwang Ji:
IDM 2017: Workshop on Interpretable Data Mining - Bridging the Gap between Shallow and Deep Models. 2565-2566 - Manjira Sinha, Xiangnan He, Alessandro Bozzon, Sandya Mannarswamy, Pradeep K. Murukannaiah, Tridib Mukherjee:
SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities. 2567-2568 - Marianne Winslett:
Additional Workshops Co-located with CIKM 2017. 2569-2570
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