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24th CIKM 2015: Melbourne, VIC, Australia
- James Bailey, Alistair Moffat, Charu C. Aggarwal, Maarten de Rijke, Ravi Kumar, Vanessa Murdock, Timos K. Sellis, Jeffrey Xu Yu:
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015. ACM 2015, ISBN 978-1-4503-3794-6
Keynote Address I
- Jaime Teevan:
Slow Search: Improving Information Retrieval Using Human Assistance. 1
Session 1A: Scalability
- Abdullah Abdulrahman Alamoudi, Raman Grover, Michael J. Carey, Vinayak R. Borkar:
External Data Access And Indexing In AsterixDB. 3-12 - Kasper Grud Skat Madsen, Yongluan Zhou
:
Dynamic Resource Management In a Massively Parallel Stream Processing Engine. 13-22 - Pengtao Huang, Xiu Li, Bo Yuan
:
A Parallel GPU-Based Approach to Clustering Very Fast Data Streams. 23-32 - Ying Kang, Xiaoyan Gu
, Weiping Wang, Dan Meng:
Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks. 33-42
Session 1B: Personal Search
- Lynda Tamine, Laure Soulier:
Understanding the Impact of the Role Factor in Collaborative Information Retrieval. 43-52 - Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis
:
Experiments with a Venue-Centric Model for Personalisedand Time-Aware Venue Suggestion. 53-62 - Sha Hu, Zhicheng Dou
, Xiaojie Wang, Tetsuya Sakai, Ji-Rong Wen:
Search Result Diversification Based on Hierarchical Intents. 63-72 - Yonathan Perez, Michael Schueppert, Matthew Lawlor, Shaunak Kishore:
Category-Driven Approach for Local Related Business Recommendations. 73-82
Session 1C: Learning
- Javier Alvaro Vargas Muñoz
, Ricardo da Silva Torres, Marcos André Gonçalves
:
A Soft Computing Approach for Learning to Aggregate Rankings. 83-92 - Lutz Büch
, Artur Andrzejak:
Approximate String Matching by End-Users using Active Learning. 93-102 - Shoaib Jameel, Wai Lam, Steven Schockaert
, Lidong Bing:
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. 103-112 - Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He:
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. 113-122
Session 1D: Text Processing
- Animesh Nandi, Suriya Subramanian, Sriram Lakshminarasimhan, Prasad M. Deshpande, Sriram Raghavan:
Lifespan-based Partitioning of Index Structures for Time-travel Text Search. 123-132 - Jianpeng Cheng, Zhongyuan Wang, Ji-Rong Wen, Jun Yan, Zheng Chen:
Contextual Text Understanding in Distributional Semantic Space. 133-142 - Mahnoosh Kholghi
, Laurianne Sitbon
, Guido Zuccon
, Anthony N. Nguyen
:
External Knowledge and Query Strategies in Active Learning: a Study in Clinical Information Extraction. 143-152 - Pablo Barrio, Luis Gravano, Chris Develder
:
Ranking Deep Web Text Collections for Scalable Information Extraction. 153-162
Session 1E: Applications
- Chih-Ya Shen, Hong-Han Shuai, De-Nian Yang
, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
:
Forming Online Support Groups for Internet and Behavior Related Addictions. 163-172 - Chunye Wang, Ramakrishna Akella:
Concept-Based Relevance Models for Medical and Semantic Information Retrieval. 173-182 - Longqi Yang, Yin Cui, Fan Zhang
, John P. Pollak, Serge J. Belongie
, Deborah Estrin:
PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. 183-192 - Peng Lin, Bang Zhang, Yi Wang, Zhidong Li
, Bin Li, Yang Wang
, Fang Chen
:
Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach. 193-202
Session 1F: Social Media 1
- Donghyuk Shin
, Suleyman Cetintas, Kuang-Chih Lee, Inderjit S. Dhillon:
Tumblr Blog Recommendation with Boosted Inductive Matrix Completion. 203-212 - Haokai Lu, James Caverlee, Wei Niu:
BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media. 213-222 - Niket Tandon, Gerard de Melo, Abir De, Gerhard Weikum:
Knowlywood: Mining Activity Knowledge From Hollywood Narratives. 223-232 - Radityo Eko Prasojo
, Mouna Kacimi, Werner Nutt:
Entity and Aspect Extraction for Organizing News Comments. 233-242
Session 2A: Graphs
- Fabio Petroni, Leonardo Querzoni
, Khuzaima Daudjee, Shahin Kamali, Giorgio Iacoboni:
HDRF: Stream-Based Partitioning for Power-Law Graphs. 243-252 - Haichuan Shang, Xiang Zhao, R. Uday Kiran
, Masaru Kitsuregawa:
Towards Scale-out Capability on Social Graphs. 253-262 - Mojtaba Rezvani, Weifa Liang
, Wenzheng Xu, Chengfei Liu
:
Identifying Top-k Structural Hole Spanners in Large-Scale Social Networks. 263-272 - Kiran Garimella, Gianmarco De Francisci Morales
, Aristides Gionis, Mauro Sozio:
Scalable Facility Location for Massive Graphs on Pregel-like Systems. 273-282
Session 2B: Retrieval Algorithms
- David Carmel, Guy Halawi, Liane Lewin-Eytan, Yoelle Maarek, Ariel Raviv:
Rank by Time or by Relevance?: Revisiting Email Search. 283-292 - Xiaolu Lu, Alistair Moffat, J. Shane Culpepper
:
On the Cost of Extracting Proximity Features for Term-Dependency Models. 293-302 - Chia-Jung Lee, Qingyao Ai
, W. Bruce Croft, Daniel Sheldon:
An Optimization Framework for Merging Multiple Result Lists. 303-312 - David Maxwell, Leif Azzopardi, Kalervo Järvelin, Heikki Keskustalo
:
Searching and Stopping: An Analysis of Stopping Rules and Strategies. 313-322
Session 2C: Text Analysis
- Besnik Fetahu, Katja Markert, Avishek Anand:
Automated News Suggestions for Populating Wikipedia Entity Pages. 323-332 - Huizhong Duan, ChengXiang Zhai:
Mining Coordinated Intent Representation for Entity Search and Recommendation. 333-342 - Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu:
Sentiment Extraction by Leveraging Aspect-Opinion Association Structure. 343-352 - Subhabrata Mukherjee, Gerhard Weikum:
Leveraging Joint Interactions for Credibility Analysis in News Communities. 353-362
Session 2D: Clustering
- Dezhi Hong, Hongning Wang
, Kamin Whitehouse:
Clustering-based Active Learning on Sensor Type Classification in Buildings. 363-372 - Peixiang Zhao:
gSparsify: Graph Motif Based Sparsification for Graph Clustering. 373-382 - Qiyue Yin, Shu Wu, Liang Wang:
Incomplete Multi-view Clustering via Subspace Learning. 383-392 - Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Tighter Rank Approximation. 393-401
Session 2E: Users and Predictions
- Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Alexandre Termier:
Interactive User Group Analysis. 403-412 - Chong Wang, Achir Kalra, Cristian Borcea, Yi Chen:
Viewability Prediction for Online Display Ads. 413-422 - Reza Zafarani, Huan Liu:
10 Bits of Surprise: Detecting Malicious Users with Minimum Information. 423-431 - Sarah Masud Preum, John A. Stankovic, Yanjun Qi:
MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction. 433-442
Session 2F: Heterogeneous Networks
- Chang Wan, Xiang Li, Ben Kao, Xiao Yu, Quanquan Gu, David Wai-Lok Cheung, Jiawei Han:
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks. 443-452 - Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu:
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. 453-462 - Deqing Yang, Jingrui He, Huazheng Qin, Yanghua Xiao, Wei Wang:
A Graph-based Recommendation across Heterogeneous Domains. 463-472 - Verena Kantere, George Orfanoudakis
, Anastasios Kementsietsidis, Timos K. Sellis
:
Query Relaxation across Heterogeneous Data Sources. 473-482
Session 3A: Veracity
- Eleanor Ainy, Pierre Bourhis, Susan B. Davidson, Daniel Deutch, Tova Milo:
Approximated Summarization of Data Provenance. 483-492 - Xianzhi Wang
, Quan Z. Sheng
, Xiu Susie Fang, Lina Yao, Xiaofei Xu, Xue Li
:
An Integrated Bayesian Approach for Effective Multi-Truth Discovery. 493-502 - Xianzhi Wang
, Quan Z. Sheng
, Xiu Susie Fang, Xue Li
, Xiaofei Xu, Lina Yao:
Approximate Truth Discovery via Problem Scale Reduction. 503-512
Session 3B: Social Networks 1
- Cheng Cao, James Caverlee, Kyumin Lee, Hancheng Ge, Jin-Wook Chung:
Organic or Organized?: Exploring URL Sharing Behavior. 513-522 - Chonggang Song, Wynne Hsu
, Mong-Li Lee
:
Mining Brokers in Dynamic Social Networks. 523-532 - Yeyun Gong, Qi Zhang, Xuyang Sun, Xuanjing Huang:
Who Will You "@"? 533-542
Session 3C: Query Completion
- Ahmed Hassan Awadallah, Ranjitha Gurunath Kulkarni, Umut Ozertem, Rosie Jones:
Characterizing and Predicting Voice Query Reformulation. 543-552 - Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi
, Christina Lioma
, Jakob Grue Simonsen, Jian-Yun Nie
:
A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. 553-562 - Paul Lagrée, Bogdan Cautis, Hossein Vahabi:
A Network-Aware Approach for Searching As-You-Type in Social Media. 563-572
Session 3D: Microblogs
- Feifan Fan, Runwei Qiang, Chao Lv, Jianwu Yang:
Improving Microblog Retrieval with Feedback Entity Model. 573-582 - Koustav Rudra
, Subham Ghosh, Niloy Ganguly
, Pawan Goyal, Saptarshi Ghosh:
Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach. 583-592 - Mossaab Bagdouri, Douglas W. Oard
:
Profession-Based Person Search in Microblogs: Using Seed Sets to Find Journalists. 593-602
Session 3E: Graph-Based Analysis
- Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang
, Philip S. Yu:
Learning Entity Types from Query Logs via Graph-Based Modeling. 603-612 - Qiang Liu, Shu Wu, Liang Wang:
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. 613-622 - Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao:
Learning to Represent Knowledge Graphs with Gaussian Embedding. 623-632
Session 3F: Classification 1
- Jundong Li, Osmar R. Zaïane:
Associative Classification with Statistically Significant Positive and Negative Rules. 633-642 - Peng Yang, Peilin Zhao:
A Min-Max Optimization Framework For Online Graph Classification. 643-652 - Zhongyuan Wang, Haixun Wang, Ji-Rong Wen, Yanghua Xiao:
An Inference Approach to Basic Level of Categorization. 653-662
Keynote Address II
- Xiaofang Zhou
, Kai Zheng, Hoyoung Jeung, Jiajie Xu, Shazia Sadiq
:
Making Sense of Spatial Trajectories. 671-672
Session 4A: Location-Based Services
- Chao Li
, Balaji Palanisamy:
ReverseCloak: Protecting Multi-level Location Privacy over Road Networks. 673-682 - Hao Wu, Chuanchuan Tu, Weiwei Sun, Baihua Zheng
, Hao Su, Wei Wang:
GLUE: a Parameter-Tuning-Free Map Updating System. 683-692 - Minghe Yu, Guoliang Li, Jianhua Feng:
A Cost-based Method for Location-Aware Publish/Subscribe Services. 693-702 - Nicolas Gast, Guillaume Massonnet, Daniël Reijsbergen, Mirco Tribastone:
Probabilistic Forecasts of Bike-Sharing Systems for Journey Planning. 703-712
Session 4B: Query Explanation
- Nicole Bidoit, Melanie Herschel, Aikaterini Tzompanaki:
Efficient Computation of Polynomial Explanations of Why-Not Questions. 713-722 - Sourav S. Bhowmick
, Curtis E. Dyreson
, Byron Choi, Min-Hwee Ang:
Interruption-Sensitive Empty Result Feedback: Rethinking the Visual Query Feedback Paradigm for Semistructured Data. 723-732 - Werner Nutt, Sergey Paramonov, Ognjen Savkovic:
Implementing Query Completeness Reasoning. 733-742 - Zhe Wang
, Mahsa Chitsaz, Kewen Wang
, Jianfeng Du:
Towards Scalable and Complete Query Explanation with OWL 2 EL Ontologies. 743-752
Session 4C: Crowds
- Abolfazl Asudeh
, Gensheng Zhang, Naeemul Hassan, Chengkai Li, Gergely V. Záruba:
Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons. 753-762 - Alexey Drutsa, Anna Ufliand, Gleb Gusev:
Practical Aspects of Sensitivity in Online Experimentation with User Engagement Metrics. 763-772 - Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
:
Generalized Team Draft Interleaving. 773-782 - Martin Davtyan, Carsten Eickhoff, Thomas Hofmann:
Exploiting Document Content for Efficient Aggregation of Crowdsourcing Votes. 783-790
Session 4D: Optimization
- David C. Anastasiu
, George Karypis
:
L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning. 791-800 - Qian Li
, Wenjia Niu, Gang Li
, Yanan Cao, Jianlong Tan, Li Guo:
Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization. 801-809 - Sheng Li, Jaya Kawale, Yun Fu:
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder. 811-820 - Tong Zhao, Julian J. McAuley, Irwin King
:
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation. 821-830
Session 4E: Social Networks 2
- Chonggang Song, Wynne Hsu
, Mong-Li Lee
:
Node Immunization over Infectious Period. 831-840 - Jiawei Zhang, Yuanhua Lv, Philip S. Yu:
Enterprise Social Link Recommendation. 841-850 - Tong Zhao, H. Vicky Zhao, Irwin King
:
Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks. 851-860 - Wei He, Hongyan Liu, Jun He, Shu Tang, Xiaoyong Du:
Extracting Interest Tags for Non-famous Users in Social Network. 861-870
Session 4F: Matrix Factorization
- Hongchang Gao, Feiping Nie, Tom Weidong Cai
, Heng Huang:
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF. 871-880 - Lei Liu, Pang-Ning Tan
, Xi Liu:
MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning. 881-890 - Shaosheng Cao, Wei Lu
, Qiongkai Xu
:
GraRep: Learning Graph Representations with Global Structural Information. 891-900 - Tong Man, Huawei Shen, Junming Huang
, Xueqi Cheng:
Context-Adaptive Matrix Factorization for Multi-Context Recommendation. 901-910
Session 5A: Trips and Trajectories
- Chenyi Zhang, Hongwei Liang, Ke Wang, Jianling Sun:
Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time. 911-920 - Liming Zhan, Ying Zhang
, Wenjie Zhang
, Xiaoyang Wang
, Xuemin Lin
:
Range Search on Uncertain Trajectories. 921-930 - Tanzima Hashem
, Sukarna Barua, Mohammed Eunus Ali
, Lars Kulik, Egemen Tanin:
Efficient Computation of Trips with Friends and Families. 931-940 - Yanhua Li, Chi-Yin Chow
, Ke Deng, Mingxuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang, Zhi-Li Zhang:
Sampling Big Trajectory Data. 941-950
Session 5B: Retrieval Enhancements 1
- Chenyan Xiong, Jamie Callan:
EsdRank: Connecting Query and Documents through External Semi-Structured Data. 951-960 - Jitao Sang, Dongyuan Lu, Changsheng Xu:
A Probabilistic Framework for Temporal User Modeling on Microblogs. 961-970 - Maria Koutraki, Dan Vodislav, Nicoleta Preda:
Deriving Intensional Descriptions for Web Services. 971-980 - Maxim Zhukovskiy, Tsimafei Khatkevich, Gleb Gusev, Pavel Serdyukov:
An Optimization Framework for Propagation of Query-Document Features by Query Similarity Functions. 981-990
Session 5C: Privacy
- Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou:
Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. 991-1000 - Haoran Li, Li Xiong
, Xiaoqian Jiang, Jinfei Liu:
Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach. 1001-1010 - Ling Chen, Ting Yu, Rada Chirkova:
WaveCluster with Differential Privacy. 1011-1020 - Weiyi Xia, Murat Kantarcioglu, Zhiyu Wan
, Raymond Heatherly, Yevgeniy Vorobeychik, Bradley A. Malin:
Process-Driven Data Privacy. 1021-1030
Session 5D: Data Streams
- Hao Huang, Shinjae Yoo
, Shiva Prasad Kasiviswanathan:
Unsupervised Feature Selection on Data Streams. 1031-1040 - Jundong Li, Xia Hu, Jiliang Tang, Huan Liu:
Unsupervised Streaming Feature Selection in Social Media. 1041-1050 - Konstantin Kutzkov
, Mohamed Ahmed, Sofia Nikitaki:
Weighted Similarity Estimation in Data Streams. 1051-1060 - Rui Chen, Yilin Shen, Hongxia Jin:
Private Analysis of Infinite Data Streams via Retroactive Grouping. 1061-1070
Session 5E: Classification 2
- Felipe Viegas
, Marcos André Gonçalves
, Wellington Martins
, Leonardo Rocha
:
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification. 1071-1080 - Lin Gui
, Qin Lu
, Ruifeng Xu, Minglei Li, Qikang Wei:
A Novel Class Noise Estimation Method and Application in Classification. 1081-1090 - Meenakshi Mishra, Jun Huan:
Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning. 1091-1100 - Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino, Paulo Shakarian:
KSGM: Keynode-driven Scalable Graph Matching. 1101-1110
Session 5F: Sentiment and Content Analysis
- Bing Hu, Bin Liu
, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin:
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. 1111-1120 - Marius Pasca:
The Role of Query Sessions in Interpreting Compound Noun Phrases. 1121-1129 - Seongsoon Kim, Hyeokyoon Chang, Seongwoon Lee, Minhwan Yu, Jaewoo Kang:
Deep Semantic Frame-Based Deceptive Opinion Spam Analysis. 1131-1140 - Xiaojia Pu, Rong Jin, Gangshan Wu, Dingyi Han, Gui-Rong Xue:
Topic Modeling in Semantic Space with Keywords. 1141-1150
Session 6A: Time Series and Streams
- Anatoli U. Shein, Panos K. Chrysanthis
, Alexandros Labrinidis:
F1: Accelerating the Optimization of Aggregate Continuous Queries. 1151-1160 - Tian Guo, Saket Sathe, Karl Aberer:
Fast Distributed Correlation Discovery Over Streaming Time-Series Data. 1161-1170 - Yohan Jo, Natasha Loghmanpour, Carolyn P. Rosé
:
Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model. 1171-1180
Session 6B: Adaptive Learning
- Shuji Hao, Peilin Zhao, Steven C. H. Hoi
, Chunyan Miao
:
Learning Relative Similarity from Data Streams: Active Online Learning Approaches. 1181-1190 - Tom Kenter, Melvin Wevers
, Pim Huijnen, Maarten de Rijke
:
Ad Hoc Monitoring of Vocabulary Shifts over Time. 1191-1200 - Tuan Tran, Claudia Niederée
, Nattiya Kanhabua, Ujwal Gadiraju, Avishek Anand:
Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. 1201-1210
Session 6C: Points-of-Interest
- Tao Zhou, Jiuxin Cao, Bo Liu
, Shuai Xu
, Ziqing Zhu, Junzhou Luo:
Location-Based Influence Maximization in Social Networks. 1211-1220