Accepted Papers

23rd International Conference on Information and Knowledge Management (CIKM)
Shanghai, China, Nov 3-7, 2014

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  • Paper ID 57, CAST: A Context-Aware Story-Teller for Streaming Social Content, Pei Lee (UBC); Laks V.S. Lakshmanan (UBC); Evangelos Milios (Dal)
  • Paper ID 58, An Appliance-driven Approach to Detection of Corrupted Load Curve Data, Guoming Tang (University of Victoria); Kui Wu (University of Victoria); Jian Pei ("Simon Fraser University, Canada"); Jiuyang Tang (National University of Defence Technology); Jingsheng Lei (Shanghai University of Electric Power)
  • Paper ID 189, Distributed Graph Summarization, Xingjie Liu (Penn State); Yuanyuan Tian (IBM); Qi He (Linkedin); Wang-Chien Lee (Penn State)
  • Paper ID 209, PraDa: Privacy-preserving Data-Deduplication-as-a-Service, Boxiang Dong (); Ruilin Liu (Stevens Institute of Technolog); Wendy Hui Wang ()
  • Paper ID 211, Efficient Static and Dynamic In-Database Tensor Decompositions on Chunk-Based Array Stores, Mijung Kim (ASU); K. Selcuk Candan (ASU)
  • Paper ID 258, Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis, Xiangfu Meng (UTS); longbing  Cao (UTS); Jingyu Shao (UTS)
  • Paper ID 262, Pattern Match Query in a Large Uncertain Graph, Ye Yuan (Neu)
  • Paper ID 281, ExpressQ: Enhancing the Expressive Power of Relational Keyword Queries, Zhong Zeng (NUS); Zhifeng Bao (University of Tasmania); Thuy Ngoc Le (National University of Singapore); Mong Li Lee (National University of Singapore); Tok Wang Ling (National University of Singapore)
  • Paper ID 286, SocialTransfer: Transferring Social Knowledge for Cold-Start Crowdsourcing, Zhou Zhao (Hkust); James Cheng (CUHK); Wilfred Ng (HKUST); furu Wei (); ming Zhou (); Yingjun Wu ()
  • Paper ID 428, Efficient Probabilistic Supergraph Search over Large Uncertain Graphs, Yongxin Tong (HKUST); Caleb Chen CAO (HKUST); Lei Chen (HKUST)
  • Paper ID 491, Deal or Deceit: Detecting Cheating in Distribution Channels, Kai Shu (CQU); Ping Luo (CAS, China)
  • Paper ID 533, X: A Scalable Distributed SPARQL Query Processing System, Buwen Wu (HUST); Yongluan Zhou (University of Southern Denmark); Pingpeng Yuan (HUST); Hai Jin (Huazhong Uni. of Sci. & Tech.); Ling Liu (Georgia Tech)
  • Paper ID 587, Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures, Merih Seran Uysal (RWTH Aachen); Christian Beecks (RWTH Aachen); Jochen Schmuecking (RWTH Aachen); Thomas Seidl (RWTH Aachen)
  • Paper ID 630, SharkDB - An In-memory Column-oriented Trajectory Storage, Haozhou Wang (The University of Queensland); Kevin Zheng (Queensland U); Xiaofang Zhou (Soochow University); Shazia Sadiq (The University of Queensland)
  • Paper ID 843, Rubato DB: A Highly Scalable Staged Grid Database System for OLTP and Big Data Applications, Li-Yan Yuan (University of Alberta); Lengdong Wu (University of Alberta); Jia-Huai You (University of Alberta)
  • Paper ID 943, MaC: A Probabilistic Framework For Query Answering With Machine-Crowd Collaboration, Chen Zhang (HKUST); Lei Chen (HKUST); Yongxin  Tong (HKUST)
  • Paper ID 971, Pulling Conjunctive Query Equivalence out of the Bag, Stefan Boettcher (University of Paderborn); Sebastian Link (The University of Auckland); Lin Zhang (The University of Auckland)
  • Paper ID 1026, Fast heuristics for near-optimal task allocation in data stream processing over clusters, Andreas Chatzistergiou (University of Edinburgh); Stratis Viglas (University of Edinburgh)
  • Paper ID 1085, Templated Search over Relational Databases, Anastasios Zouzias (IBM Research); Vagelis Hristidis (UC Riverside); Michail Vlachos (IBM Research)
  • Paper ID 1105, DFD: Efficient Functional Dependency Discovery, Ziawasch Abedjan (Hasso Plattner Institute); Felix Naumann (Hasso Plattner Institute); Patrick Schulze ()
  • Paper ID 1173, Estimating the Number and Sizes of Fuzzy-Duplicate Clusters, Arvid Heise (Hasso-Plattner Institute); Kasneci Gjergji (Hasso-Plattner-Institut fur Softwaresystemtechnik); Felix Naumann (Hasso Plattner Institute)
  • Paper ID 1343, Aroma: A New Data Protection Method with Differential Privacy and Accurate Query Answering, Chunyao Song (); Tingjian Ge (Univ. of Massachusetts, Lowell)
  • Paper ID 1403, Robust Entity Linking via Random Walks, Zhaochen Guo (University of Alberta); Denilson Barbosa ("University of Alberta, Canada")
  • Paper ID 1419, Robust Skew-resistant Joins in Shared-Nothing Systems, Long Cheng (National University of Ireland); Spyros Kotoulas (IBM Research); Tomas Ward (National University of Ireland Maynooth); Georgios Theodoropoulos (Durham University)
  • Paper ID 1659, Truth Discovery in Data Streams: A Single-Pass Probabilistic Approach, Zhou Zhao (Hkust); James Cheng (CUHK); Wilfred Ng (HKUST)
  • Paper ID 159, Travel Distance versus Navigation Complexity: A Study on Different Spatial Queries on Road Networks, Jie Shao (UESTC); Lars Kulik (University of Melbourne); Egemen Tanin (University of Melbourne); Long Guo (National University of Singapore)
  • Paper ID 244, Distance or Coverage? Retrieving Knowledge-Rich Documents from Enterprise Text Collectionsm, Vinay Deolalikar (Hewlett-Packard)
  • Paper ID 250, Tell Me What You Want and I Will Tell Others Where You Have Been, Anthony Quattrone (); Elham Naghizade (The University of Melbourne); Lars Kulik (University of Melbourne); Egemen Tanin (University of Melbourne)
  • Paper ID 270, Forest-Based Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution, Banda Ramadan (The Australian National Uni); Peter Christen (ANU)
  • Paper ID 463, Exploring Tag-free RFID-based Passive Localization and Tracking via Learning-based Probabilistic Approaches, Lina Yao (University of Adelaide); Wenjie Ruan (The University of Adelaide); Quan Z. Sheng (The University of Adelaide); Xue Li (The University of Queensland ); Nick Falkner (The University of Adelaide)
  • Paper ID 509, Scalable privacy-preserving record linkage for multiple databases, Dinusha Vatsalan (ANU); Peter Christen (ANU)
  • Paper ID 1460, Towards Efficient Dissemination of Linked Data in the Internet of Things, Yongrui Qin (The University of Adelaide); Quan Sheng (University of Adelaide); Nick Falkner (The University of Adelaide); Ali Shemshadi (The University of Adelaide); Edward Curry (NUI Galway)
  • Paper ID 1466, Indexing Linked Data in a Wireless Broadcast System with 3D Hilbert Space-Filling Curves, Yongrui Qin (The University of Adelaide); Quan Sheng (University of Adelaide); Nick Falkner (The University of Adelaide); Wei Emma Zhang (The University of Adelaide) ; Hua Wang (Victoria University, Australia)
  • Paper ID 1620, Hashcube: Efficiently-Queryable Skycube Compression, Kenneth B?gh (Aarhus University, Denmark); Sean Chester (Aarhus University); Darius ?idlauskas (Aarhus University, Denmark); Ira Assent (Aarhus University)
  • Paper ID 30, Designing Test Collections for Comparing Many Systems, Tetsuya Sakai (Waseda University)
  • Paper ID 37, A Comparison of Retrieval Models using Term Dependencies, Samuel Huston (Google); W. Bruce Croft (University of Massachusetts)
  • Paper ID 48, Ranking Optimization with Constraints, Fangzhao Wu (Tsinghua University); Jun Xu (ICT, CAS); Li Hang (Huawei); Xin Jiang (Huawei)
  • Paper ID 79, Customized Organization of Social Media Contents using Focused Topic Hierarchy, Xingwei Zhu (CS Dept., Tsinghua University); Zhao-Yan Ming (Dept. of CS, School of Computing, National University of Singapore, Singapore); Yu Hao (Dept. of Computer Sci. and Tech., Tsinghua University, Beijing, China); Xiaoyan Zhu (Dept. of Computer Sci. and Tech., Tsinghua University, Beijing, China); Tat-Seng Chua (Dept. of CS, School of Computing, National University of Singapore, Singapore)
  • Paper ID 95, Query Augmentation based Intent Matching in Retail Vertical Ads, Huasha Zhao (UC Berkeley); Ye Chen (Microsoft); John Canny (UC Berkeley); Tak Yan (Microsoft)
  • Paper ID 98, Query-Driven Mining of Citation Networks for Patent Citation Retrieval and Recommendation, Parvaz Mahdabi (University of Lugano); Fabio Crestani (University of Lugano)
  • Paper ID 149, Improving Term Weighting for Community Question Answering Search Using Syntactic Analysis, Idan Szpektor (Yahoo! Research); David Carmel (Yahoo! Research); Yuval Pinter (Yahoo! Research); Avihai Mejer (Yahoo! Research)
  • Paper ID 151, Focused Crawling for Structured Data, Robert Meusel (University of Mannheim); Peter Mika (Yahoo Barcelona); Roi Blanco (Yahoo! Labs); Christian Bizer (University of Mannheim)
  • Paper ID 152, Tagging Your Tweets: A Probabilistic Modeling of Hashtag Annotation in Twitter, Zongyang Ma (NTU); Aixin Sun (NTU); Quan Yuan (Nanyang Technological Univ.); Gao Cong ("Nanyang Technological University, Singapore")
  • Paper ID 177, Narrow or Broad? Estimating Subjective Specificity in Exploratory Search, Kumaripaba Athukorala (University of Helsinki); Antti Oulasvirta (Max Planck Institute for Informatics); Dorota Glowacka (University of Helsinki); Jilles Vreeken (MPI); giulio Jacucci (Helsinki Institute for Information Technology HIIT)
  • Paper ID 186, Time-Aware Rank Aggregation for Microblog Search, Shangsong Liang (University of Amsterdam); Zhaochun Ren (University of Amsterdam); Wouter Weerkamp (904Labs); Edgar Meij (Yahoo! Labs); Maarten de Rijke (University of Amsterdam)
  • Paper ID 233, From Skimming to Reading:  A Two-stage Examination Model for Web Search, Liu Yiqun (Tsinghua University); Chao WANG (Tsinghua University); Ke ZHOU (University of Edinburgh); Jian-Yun Nie (University of Montreal); Min Zhang (Tsinghua university); Ma ShaoPing (Tainghua University)
  • Paper ID 295,  Question Retrieval with High Quality Answers in Community Question Answering, Kai Zhang (Beihang University); Wei Wu (); zhoujun Li (Beihang University)
  • Paper ID 315, Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures, Ioannis Arapakis (Yahoo Labs); Mounia Lalmas (Yahoo Labs); George Valkanas (University of Athens)
  • Paper ID 375, Cross-Device Search, George Montanez (Carnegie Mellon University); Ryen White (Microsoft Research); Xiao Huang (Microsoft Bing)
  • Paper ID 390, Exploration Suggestions for Complex Search Tasks, Ahmed Hassan Awadallah (Microsoft); Ryen White (Microsoft Research); Patrick Pantel (Microsoft Research); Susan Dumais (Microsoft Research)
  • Paper ID 391, Machine-Assisted Evaluation for Search Preference Judgments, Ahmed Hassan Awadallah (Microsoft); Imed Zitouni (Microsoft)
  • Paper ID 394, Document Prioritization for Scalable Query Processing, Hao Wu (); Hui Fang (University of Delaware)
  • Paper ID 478, Predicting Relationship Occurrence Time In Heterogeneous Networks Through Dynamic Frequent Prototype Network Mining, Yang Liu (NJIT); Songhua Xu (New Jersey Institute of Technology)
  • Paper ID 506, Using Crowdsourcing to Investigate Perception of Narrative Similarity, Dong Nguyen (University of Twente); Dolf  Trieschnigg (University of Twente); Mariet Theune ()
  • Paper ID 564, Re-call and Re-cognition in Episode Re-retrieval: A User Study on News Re-finding a Fortnight Later, Shuya Ochiai (Kyoto University); Makoto Kato (Kyoto University); Katsumi Tanaka (Kyoto University)
  • Paper ID 583, Time-sensitive Personalized Query Auto-Completion, Fei Cai (University of Amsterdam); Shangsong Liang (University of Amsterdam); Maarten de Rijke (University of Amsterdam)
  • Paper ID 584, An Eye-tracking Study of User Interactions with Query Auto Completion, Katja Hofmann (Microsoft); Bhaskar Mitra (); Milad Shokouhi (); Filip Radlinski ()
  • Paper ID 627, "Picture the scene..."; Visually Summarising Social Media Events, Philip McParlane (University of Glasgow); Andrew McMinn (University of Glasgow); Joemon Jose (University of Glasgow)
  • Paper ID 679, Cross-Modality Submodular Dictionary Learning for Information Retrieval, Fan Zhu (The University of Sheffield); Ling Shao (The University of Sheffield); Mengyang Yu (The University of Sheffield)
  • Paper ID 766, The Effects of Vertical Rank and Border on Aggregated Search Coherence and Search Behavior, Jaime Arguello (University of North Carolina, USA); Robert Capra (University of North Carolina, USA)
  • Paper ID 779, Analytical Performance Modeling for Top-K Query Processing, Hao Wu (); Hui Fang (University of Delaware)
  • Paper ID 875, Search Result Diversification via Filling Up Multiple Knapsacks, Hai-Tao Yu (The University of Tokushima); Fuji Ren (The University of Tokushima)
  • Paper ID 895, A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval, Yelong Shen (Microsoft Research); Xiaodong He (Microsoft Research); Jianfeng Gao (Microsoft Research); Li Deng (Microsoft Research); Grégoire Mesnil (University of Montréal)
  • Paper ID 900, A Reconstruction Approach to Structural and Textual Summarization of Dynamic Multi-Source User-Generated-Content, Zhao Yan Ming (National University of Singapo); Jintao Ye (Mozat PTE LTD); Tat-Seng Chua (NUS)
  • Paper ID 937, Term Selection and Result Reranking for Question Retrieval by Exploiting Hierarchical Classification, Wen Chan (Fudan University); Jintao Du (Fudan University); XIangdong Zhou (Fudan University)
  • Paper ID 954, Predicting Search Task Difficulty at Different Search Stages, CHANG LIU (Peking University); Jingjing Liu (University of South Carolina); Nicholas Belkin (Rutgers University)
  • Paper ID 969, Social Book Search Reranking with Generalized Content-Based Filtering, Bo-Wen Zhang (University of Science and Technology Beijing); Xu-Cheng Yin (University of Science and Technology Beijing); Xiao-Ping Cui (University of Science and Technology Beijing); Bin Geng (University of Science and Technology Beijing); Jiao Qu (University of Science and Technology Beijing); Fang Zhou (University of Science and Technology Beijing); Li Song (Institute of Automation,Chinese Academy of Science); Hongwei Hao (Institute of Automation, Chinese Academy of Sciences)
  • Paper ID 991, Correct Me If I'm Wrong: Fixing Grammatical Errors by Preposition Ranking, Roman Prokofyev (University of Fribourg); Ruslan Mavlyutov (); Martin Grund (EXascale Infolab); Gianluca Demartini (University of Fribourg); Philippe Cudre-Mauroux (eXascale Infolab)
  • Paper ID 1009, Improving Tail Query Performance by Fusion Model, Shuai Huo (Tsinghua); Min Zhang (Tsinghua university); Liu Yiqun (Tsinghua University); Ma ShaoPing (Tainghua University)
  • Paper ID 1096, Competitive Game Designs for Improving the Cost Effectiveness of Crowdsourcing, Markus Rokicki (L3S Research Center); Sergiu Chelaru (L3S Research Center); Sergej Zerr (L3S Research Center); Stefan Siersdorfer ()
  • Paper ID 1115, Online Exploration for Detecting Shifts in Fresh Intent, Damien Lefortier (Yandex); Pavel Serdyukov (Yandex); Maarten de Rijke (University of Amsterdam)
  • Paper ID 1116, A Retrievability Analysis: Exploring the Relationship Between Retrieval Bias and Retrieval Performance, Colin Wilkie (University of Glasgow); Leif Azzopardi (University of Glasgow)
  • Paper ID 1157, Effect of Intent Descriptions on Retrieval Evaluation, Emine Yilmaz (University College London); Evangelos Kanoulas (Google); Nick Craswell (Microsoft)
  • Paper ID 1179, Incremental Update Summarization: Adaptive Sentence Selection based on  Prevalence and Novelty, Richard McCreadie (University of Glasgow); Craig Macdonald (University of Glasgow); Iadh Ounis (University of Glasgow)
  • Paper ID 1190, Multileaved Comparisons for Fast Online Evaluation, Anne Schuth (University of Amsterdam); Floor Sietsma (University of Amsterda); Shimon Whiteson (University of Amsterdam); Damien Lefortier (Yandex); Maarten de Rijke (University of Amsterdam)
  • Paper ID 1204, Relevance and Effort: An Analysis of Document Utility, Emine Yilmaz (University College London); Manisha Verma (UCL); Filip Radlinski (Microsoft); Nick Craswell (Microsoft); Peter Bailey (Microsoft)
  • Paper ID 1280, Searching Locally-Defined Entities, Zhaohui Wu (Penn State University); Yuanhua Lv (Microsoft); Ariel Fuxman (Microsoft Research)
  • Paper ID 1304, Semantic Compositionality in Tree Kernels, Roberto Basili (University of Roma Tor Vergata); Paolo Annesi (University of Roma Tor Vergata); Danilo Croce (University of Roma, Tor Vergat)
  • Paper ID 1342, A Fixed-Point Method for Weighting Terms   in Verbose Informational Queries, Jiaul Paik (University of Maryland, College Park); Doug Oard (University of Maryland)
  • Paper ID 1349, Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients, Nut Limsopatham (University of Glasgow); Craig Macdonald (University of Glasgow); Iadh Ounis (University of Glasgow)
  • Paper ID 1382, Modelling and Detecting Changes in User Satisfaction, Julia Kiseleva (TU/e); Eric Crestan (Microsoft Bing); Riccardo Brigo (Microsoft Bing); Roland  Dittel (Microsoft Bing)
  • Paper ID 1391, Compact auxiliary dictionaries for incremental compression of large repositories, Jiancong Tong (Nankai University); Anthony Wirth (The University of Melbourne); Justin Zobel (University of Melbourne)
  • Paper ID 1463, Extending Faceted Search to the General Web, Weize Kong (Univ of Massachusetts Amherst); James Allan (University of Massachussetts Amherset)
  • Paper ID 1485, Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation, Xiaozhong Liu (Department of Information and Library Science, Indiana University); Chun Guo (Indiana University Bloomington); Yingying Yu (Dalian Maritime University); Yizhou Sun (Northeastern University)
  • Paper ID 1514, A Word-Scale Probabilistic Latent Variable Model for Detecting Human Values, Yasuhiro Takayama (Tokuyama College of Technology); Yoichi Tomiura (Kyushu University); Emi Ishita (Kyushu University); Doug Oard (University of Maryland); Kenneth Fleischmann (University of Texas at Austin); An-Shou Cheng (National Sun Yat-sen University)
  • Paper ID 1540, Large Scale Analysis of People Search within an Online Social Network, Nikita Spirin (UIUC); Karrie Karahalios (UIUC); Junfeng He (Facebook); Mike Develin (Facebook); Maxime Boucher (Facebook)
  • Paper ID 1565, Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites, Parikshit Sondhi (Walmartlabs, uiuc); Chengxiang Zhai (UIUC)
  • Paper ID 1569, Supervised Nested PageRank, Maksim Zhukovskii (Yandex); Gleb Gusev (yandex); Pavel Serdyukov (Yandex)
  • Paper ID 1690, Automatic Social Circle Detection Using Multi-View Clustering, Yuhao Yang (University of Kansas); Chao Lan (University of Kansas); Xiaoli Li (University of Kansas); Bo Luo (University of Kansas); Luke Huan (University of Kansas)
  • Paper ID 93, A Generative Model for Generating Relevance Labels from Human Judgments and Click-Logs, Xugang Ye (Microsoft)
  • Paper ID 104, Revisiting the Divergence Minimization Feedback Model, Yuanhua Lv (Microsoft); Chengxiang Zhai (UIUC)
  • Paper ID 199, Query Performance Prediction By Considering Score Magnitude and Variance Together, Shengli Wu (Jiangsu university)
  • Paper ID 378, Parameter Tuning with User Models: Influencing Aggregate User Behavior in Cluster Based Retrieval Systems, Vinay Deolalikar (Hewlett-Packard)
  • Paper ID 451, Axiomatic Analysis of Cross-Language Information Retrieval, Razieh Rahimi (University of Tehran); Azadeh Shakery (University of Tehran); Irwin King (Chinese University of Hong Kong, Hong Kong, China)
  • Paper ID 497, Probabilistic Classifier Chain Inference via Gibbs Sampling, Li Li (PKU)
  • Paper ID 526, Log-Bilinear Document Language Model for Ad-hoc Information Retrieval, Xinhui Tu (CCNU)
  • Paper ID 637, CLIR for Informal Content in Arabic Forum Posts, Mossaab Bagdouri (University of Maryland); Doug Oard (University of Maryland); Vittorio Castelli (IBM)
  • Paper ID 666, Modelling Complex Relevance Spaces with Copulas, Carsten Eickhoff (ETH Zurich); Arjen de Vries (CWI, Amsterdam)
  • Paper ID 708, Sparse Semantic Hashing for Efficient Large Scale Similarity Search, Qifan Wang (Purdue University), Bin Shen (Purdue University), Zhiwei Zhang (Purdue University), Luo Si (Purdue University)
  • Paper ID 714, Identifying Time Intervals of Interest to Queries, Dhruv Gupta (MPI for Informatics); Klaus Berberich (Max-Planck-Institut für Informatik)
  • Paper ID 737, Phrase Query Optimization on Inverted Indexes, Avishek Anand (Dr); Srikanta Bedathur (IIIT, New Delhi); Ida Mele (MPI-INF); Klaus Berberich (Max-Planck-Institut für Informatik)
  • Paper ID 761, How People Use the Web in Large Indoor Spaces, Yongli Ren (RMIT University); Martin Tomko (The University of Melbourne); Kevin Ong (RMIT University); Mark Sanderson (Royal Melbourne Institute of Technology)
  • Paper ID 805, GPQ: Directly Optimizing Q-measure based on  Genetic Programming, Yuan Lin (DLUT); Hongfei Lin (Dalian University of Technology)
  • Paper ID 883, Generalized Bias-Variance Evaluation of TREC Participated Systems, Peng Zhang (Tianjin University); Linxue Hao (Tianjin University); Dawei Song (Tianjin University); Jun Wang (University College London); Yuexian Hou (); Bin Hu (Lanzhou University)
  • Paper ID 936, Supervised Hashing with Soft Constraints, Cong Leng (Chinese Academy of Sciences); Jian Cheng (Chinese Academy of Sciences); Jiaxiang Wu (Chinese Academy of Sciences); Hanqing Lu (Chinese Academy of Sciences)
  • Paper ID 975, Aligning Vertical Collection Relevance with User Intent, Ke Zhou (University of Edinburgh); Thomas Demeester (Ghent University); Dong Nguyen (University of Twente); Djoerd Hiemstra (University of Twente); Dolf  Trieschnigg (University of Twente)
  • Paper ID 1050, Vertical-Aware Click Model-Based Effectiveness Metrics, Ilya Markov (University of Amsterdam); Evgeny Kharitonov (Yandex LLC); Vadim Nikulin (Yandex); Pavel Serdyukov (Yandex); Maarten de Rijke (University of Amsterdam)
  • Paper ID 1090, Size and Source Matter: Understanding Inconsistencies in Test Collection-Based Evaluation, Timothy Jones (RMIT University); Andrew Turpin (University of Melbourne); Stefano Mizzaro (University of Udine); Falk Scholer (RMIT University, Australia); Mark Sanderson (Royal Melbourne Institute of Technology)
  • Paper ID 1156, Proposing and Validating a Semantic Movie Retrieval Model Based on Knowledge Structure, Sansung Kim (KAIST); KEEJUN HAN (Korea Advanced Institute of Sc); Mun Y. Yi ()
  • Paper ID 1317, On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions, Romain Deveaud (University of Glasgow); M-Dyaa Albakour (University of Glasgow); Craig Macdonald (University of Glasgow); Iadh Ounis (University of Glasgow)
  • Paper ID 1373, Identification of Answer-Seeking Questions in Arabic Microblogs, Maram Hasanain (Qatar University); Tamer Elsayed (Qatar University); Walid Magdy (Qatar Computing Research Insti)
  • Paper ID 1404, Head First: Living Labs for Ad-hoc Search Evaluation, Krisztian Balog (University of Stavanger); Liadh Kelly (Dublin City University); Anne Schuth (University of Amsterdam)
  • Paper ID 1448, Succinct queries  for linking and tracking news in social media, Tan Luchen (University of Waterloo); Charles Clarke (University of Waterloo)
  • Paper ID 1599, Exploring Shared Subspace and Joint Sparsity for Canonical Correlation Analysis, Liang Tao (City University of Hong Kong); Horace  Ip (City University of Hong Kong); Yinglin Wang (Shanghai Jiao Tong University); Xin Shu (Nanjing Agricultural University)
  • Paper ID 1609, Spatial Verification for Scalable Mobile Image Retrieval, Xiyu Yang (); Xueming Qian (Xi'an Jiaotong University)
  • Paper ID 1672, Simple Arabic Stemmer, Mohammed  Algarni (University of Canterbury); Brent Martin (); Tim Bell (); Kourosh Neshatian ()
  • Paper ID 1755, Medical Semantic Similarity with a Neural Language Model, Lance De Vine (QUT); Guido Zuccon (QUT); Bevan Koopman (CSIRO); Laurianne Sitbon (QUT); Peter Bruza (QUT)
  • Paper ID 1765, Query Performance Prediction for Aspect Weighting in Search Result Diversification, Ismail Altingovde (Middle East Technical Universi); Ahmet Ozdemiray (Middle East Technical University)
  • Paper ID 33, Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables, Yongfeng Zhang, Tsinghua University; Min Zhang, Tsinghua university; Yi Zhang, UC Santa Cruz; Liu Yiqun, Tsinghua University; Ma ShaoPing, Tainghua University
  • Paper ID 35, Enabling Precision/Recall Preferences for Semi-supervised SVM Training, ZEYI WEN, University of Melbourne; Rui Zhang, The University of Melbourne; Kotagiri Rao, The University of Melbourne, Australia
  • Paper ID 40, NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites, Jingyuan Zhang, UIC; Xiangnan Kong, UIC; Roger Jie Luo, Yahoo! Labs; Yi Chang, Yahoo Lab; Philip Yu, University of Illinois at Chicago
  • Paper ID 43, Within-Network Classification Using Radius-Constrained Neighborhood Patterns, Jialong Han, Renmin Univerisity of China; Wen Ji-Rong, Renmin University of China; Jian Pei, "Simon Fraser University, Canada"
  • Paper ID 49, On Improving Co-Cluster Quality with Application to Recommender Systems, Michail Vlachos, IBM Research; Francesco Fusco, ; Harry Mavroforakis, ; Anastasios Kyrillidis, ; Vasileios Vasiliadis,
  • Paper ID 54, Active Learning for Streaming Networked Data, Zhilin Yang, Tsinghua University; Jie Tang, ; Yutao Zhang,
  • Paper ID 67, Learning to Propagate Rare Labels, Rakesh Pimplikar, ; Dinesh Garg, IBM India Research Lab; Deepesh Bharani, ; Gyana Parija,
  • Paper ID 70, Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences, Quan Yuan, Nanyang Technological Univ.; Gao Cong, "Nanyang Technological University, Singapore"; Aixin Sun, NTU
  • Paper ID 73, A Fresh Look on Knowledge Bases: Distilling Named Events from News, Erdal Kuzey, Max Planck Institute, Germany; Jilles Vreeken, MPI; Gerhard Weikum, Max Planck Institute for Informatics
  • Paper ID 102, Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks, Yilin Shen, Samsung Research America; Hongxia Jin, Samsung Research America
  • Paper ID 125, Deviation-Based Contextual SLIM Recommenders, YONG ZHENG, DePaul University; Bamshad Mobasher, DePaul University; Robin Burke, DePaul University
  • Paper ID 131, Predictability of Distrust with Interaction Data, Jiliang Tang, ; Huan Liu, Arizona State University
  • Paper ID 138, A Mixtures-of-Experts Framework for Multi-Label Classification, Charmgil Hong, University of Pittsburgh; Iyad Batal, GE Global Research; Milos Hauskrecht, University of Pittsburgh
  • Paper ID 143, EgoCentric: Ego Networks for Knowledge-based Short Text Classification, William Lucia, University of Insubria; Elena Ferrari, University of Insubria
  • Paper ID 145, Hotspot Detection in a Service-Oriented Architecture, Pranay Anchuri, RPI; Roshan Sumbaly, LinkedIn; Sam Shah, LinkedIn
  • Paper ID 175, Solving Linear SVMs with Multiple 1D Projections, Johannes Schneider, ; Michail Vlachos, IBM Research; Jasmina Bogojeska,
  • Paper ID 180, Similarity Search using Concept Graphs, Rakesh Agrawal, Microsoft Research; Sreenivas Gollapudi, Microsoft Research; Anitha Kannan, Microsoft Research; Krishnaram Kenthapadi, Microsoft Research
  • Paper ID 181, Distributed Stochastic ADMM for Matrix Factorization, Zhi-Qin Yu, Shanghai Jiaotong Univservity; Xing-Jian Shi, Shanghai Jiao Tong University; Ling Yan, Shanghai Jiao Tong University; Wu-Jun Li, Nanjing University
  • Paper ID 193, Recognizing Humor on Twitter, Renxian Zhang, Tongji University; Naishi Liu, Shanghai Jiaotong University
  • Paper ID 241, Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering, Tong Zhao, CUHK; Julian McAuley, Stanford; Irwin King, Chinese University of Hong Kong, Hong Kong, China
  • Paper ID 247, Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks, Huan Gui, University of Illinois at Urba; Yizhou Sun, Northeastern University; Jiawei Han, University of Illinois at Urbana-Champaign; George Brova, University of Illinois at Urbana-Champaign
  • Paper ID 265, Exploiting Geographical Neighborhood Characteristics for Location Recommendation, Yong Liu, NTU; Wei Wei, Nanyang Technological University; Aixin Sun, NTU; Chunyan Miao, Nanyang Technological University
  • Paper ID 274, Truth Discovery in Crowdsourced Detection of Spatial Events, Robin Wentao Ouyang, UCLA; Mani Srivastava, UCLA; Alice Toniolo, University of Aberdeen; Timothy Norman, University of Aberdeen
  • Paper ID 277, Analysis on Community Variational Trend in Dynamic Networks, Xiaowei Jia, University at Buffalo, SUNY; Nan Du, University at Buffalo, SUNY; Jing Gao, University at Buffalo, SUNY; Aidong Zhang, University at Buffalo, SUNY
  • Paper ID 291, Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by leveraging Hashtags and Sentiment Lexicon, Kar Wai Lim, ANU; Wray Buntine, Monash University
  • Paper ID 324, Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams, Yongsub Lim, KAIST; Jihoon Choi, ; U Kang, KAIST
  • Paper ID 327, Maximizing Multi-scale Spatial Statistical Discrepancy, Weishan Dong, IBM Research - China; Renjie Yao, ; Chunyang Ma, ; Changsheng Li, IBM Research-China; Lei Shi, ; Lu Wang, ; Yu Wang, ; Peng Gao, ; Junchi Yan,
  • Paper ID 343, GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams, Xilun Chen, Arizona State University; K. Selcuk Candan, ASU
  • Paper ID 355, Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach, Qi Liu, USTC; Biao Xiang, ; Enhong Chen, University of Science and Technology of China; Hui Xiong, "Rutgers,the State University of New Jersey"; Fangshuang Tang, ; Jeffrey Xu Yu, CUHK
  • Paper ID 395, Computing Multi-Relational Sufficient Statistics for  Large Databases, Zhensong Qian, Simon Fraser University; Oliver Schulte, Simon Fraser University; Yan Sun, Simon Fraser University
  • Paper ID 396, Fair Allocation in Online Markets, Sreenivas Gollapudi, Microsoft Research; Debmalya Panigrahi, Duke University
  • Paper ID 397, Tracking Temporal Dynamics of Purchase Decisions via Hierarchical Time-rescaling Model, Hideaki Kim, NTT Laboratory; Noriko Takaya, NTT; Hiroshi Sawada, NTT
  • Paper ID 409, Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway, Haifeng Liu, IBM ; Xiang  Li, ; Yang Liu, ; Guotong Xie, ; Geetika Lakshmanan,
  • Paper ID 433, Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring, Victor W. Chu, University of New South Wales; Raymond K. Wong, University of New South Wales; Chi-Hung Chi, CSIRO
  • Paper ID 458, Generative Modeling of Entity Comparisons in Text, Maksim Tkatchenko, ; Hady Lauw, Singapore Management University
  • Paper ID 474, MapReduce Triangle Enumeration With Guarantees, Ha-Myung Park, KAIST; Francesco Silvestri, University of Padova, Italy; U Kang, KAIST; Rasmus Pagh, IT University of Copenhagen, Denmark
  • Paper ID 481, How many folders do you really need? Classifying email into a handful of categories, Mihajlo Grbovic, Yahoo; Guy Halawi, Yahoo; Zohar Karnin, Yahoo Labs; Yoelle Maarek, Yahoo
  • Paper ID 494, A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis, Zheng Lin, Institute of Information Engineering, Chinese Academy of Sciences; Xiaolong Jin, ; Weiping Wang, Institute of Information Engineering, Chinese Academy of Sciences; Xueqi Cheng, ICT, CAS; Xueke Xu, Institute of Computing Technology, Chinese Academy of Sciences
  • Paper ID 554, HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation, Xin Wang, ZheJiang University; Weike Pan, Shenzhen University; Congfu Xu,
  • Paper ID 566, Structure Learning via Parameter Learning, William Yang Wang, CMU; Kathryn Mazaitis, Carnegie Mellon University; William Cohen, Carnegie Mellon University
  • Paper ID 604, A Cross-modal Multi-task Learning Framework for Image Annotation, Liang Xie, HUST; Peng Pan, Huazhong University of Science and Technology; Yansheng Lu, Huazhong University of Science and Technology; Shixun Wang,
  • Paper ID 645, Modeling Paying Behavior in Game Social Networks, Zhanpeng Fang, Tsinghua University; Xinyu Zhou, ; Jie Tang,
  • Paper ID 649, Analysis of Physical Activity Propagation in a Health Social Network, Hai Phan, University of Oregon; Dejing Dou, University of Oregon; Xiao Xiao, University of Oregon; Brigitte Piniewski, PeaceHealth Laboratories; David Kil, HealthMantic, Inc
  • Paper ID 687, "Strength Lies in Differences" -- Diversifying Friends for Recommendations through Subspace Clustering, Eirini Ntoutsi, LMU; Kostas Stefanidis, ICS-FORTH; Katharina Rausch, LMU; Hans-Peter Kriegel, LMU
  • Paper ID 694, Faceted Search over Ontology-Enhanced RDF Data, Marcelo Arenas, Pontificia Universidad Catolica de Chile; Bernardo Cuenca-Grau, University of Oxford; Evgeny Kharlamov, University of Oxford; Sarunas Marciuska, ; Dmitriy Zheleznyakov, University of Oxford
  • Paper ID 716, Exploring Legal Patent Citations for Patent Valuation, Shuting Wang, Penn State University; Zhen Lei, ; Wang-Chien Lee, Penn State
  • Paper ID 727, A Flexible Framework for Projecting Heterogeneous Data, Aubrey Gress, UC Davis; Ian Davidson, UC Davis
  • Paper ID 744, PatentDom: Analyzing Technology Relationship on Multi-View Patent Graphs, Longhui Zhang, FIU; Lei Li, Florida International University; Tao Li, Florida International University
  • Paper ID 750, Increasing the Responsiveness of Recommended Expert Collaborators for Online Open Projects, Mohammad Allaho, The Pennsylvania State Univers; Wang-Chien Lee, Penn State
  • Paper ID 778, Model Selection with the Covering Number of the Ball of RKHS, Lizhong Ding, ; Shizhong Liao, Tianjin Unversity
  • Paper ID 796, Efficient Subgraph Skyline Search Over Large Graphs, Weiguo Zheng, Peking university; Lei Zou, Beijing University; Xiang Lian, UTPA; Liang Hong, ; Dongyan Zhao,
  • Paper ID 814,  Improving Word Representations with Relation Knowledge and Grouping Knowledge, Chang Xu, Nankai University; Yalong Bai,
  • Paper ID 824, Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams, Yuto Yamaguchi, University of Tsukuba; Toshiyuki Amagasa, University of Tsukuba; Hiroyuki Kitagawa, University of Tsukuba; Yohei Ikawa, IBM Research Tokyo
  • Paper ID 839, Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection, Chuan Shi, BUPT; Wang Ran, ; Yitong Li, BUPT
  • Paper ID 851, Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning, Jia Wu, University of Technology, Sydney; Zhibin Hong, University of Technology Sydney; shirui Pan, ; Xingquan Zhu, Florida Atlantic University, USA; Chengqi Zhang, QCIS, University of Technology, Sydney
  • Paper ID 857, Dual-Regularized One-Class Collaborative Filtering, Yuan Yao, Nanjing University; Hanghang Tong, City College, CUNY; Guo Yan, ; Feng Xu, ; Xiang Zhang, ; Boleslaw Szymanski, ; Jian Lv, Nanjing University
  • Paper ID 891, User Interests Imbalance Exploration in Social Recommendation: A Fitness Adaptation, Tianchun Wang, Tsinghua University; Xiaoming Jin, Tsinghua University; Xuetao Ding, Yahoo! Labs, Beijing; Xiaojun Ye, Tsinghua University
  • Paper ID 913, On Building Decision Trees from Large-scale Data in Applications of On-line Advertising, Shivaram Kalyanakrishnan, Yahoo Labs Bangalore; Deepthi Singh, Yahoo Labs Bangalore; Ravi Kant, Yahoo Labs Bangalore
  • Paper ID 931, A Practical Fine-grained Approach to Resolving Incoherent OWL 2 DL Terminologies, Jianfeng Du, Guangdong University Foreign S; Guilin Qi, Southeast University; Xuefeng Fu, Southeast University
  • Paper ID 977, Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering, Ibrahim Alabdulmohsin, KAUST; Xin Gao, KAUST; Xiangliang Zhang, KAUST
  • Paper ID 981, Sequential Action Patterns in Collaborative Ontology-Engineering Projects: A Case-Study in the Biomedical Domain, Simon Walk, Graz University of Technology; Philipp Singer, Gesis - Leibniz Institute for the Social Sciences; Markus Strohmaier, Gesis - Leibniz Institute for the Social Sciences
  • Paper ID 1003, Verifiable UML Artifact-Centric Business Process Models, Diego Calvanese, Univ. of Bozen-Bolzano.; Montserrat Estanol, Universitat Politecnica de Catalunya; Marco Montali, Free Universtiy of Bozen-Bolzano; Ernest Teniente, Universitat Politecnica de Catalunya
  • Paper ID 1010, Focusing Decomposition Accuracy by Personalizing Tensor Decomposition (PTD), Xinsheng Li, ASU; Shengyu Huang, ASU; K. Selcuk Candan, ASU; Maria Luisa Sapino, U. Torino
  • Paper ID 1014, Optimizing Multi-Relational Factorization Models for Multiple Target Relations, Lucas Drumond, University of Hildesheim; Ernesto Diaz-Aviles, IBM Research; Lars Schmidt-Thieme, University of Hildesheim; Wolfgang Nejdl, L3S Research Center
  • Paper ID 1019, Pushing the envelope in graph compression, Panagiotis Liakos, University of Athens; Katia Papakonstantinopoulou, University of Athens; Michael Sioutis, Université Lille-Nord de France
  • Paper ID 1025, Multi-task Multi-view Learning for Heterogeneous Tasks, Xin Jin, Chinese Academy of Sciences; Fuzhen Zhuang, Chinese Academy of Sciences; Hui Xiong, "Rutgers,the State University of New Jersey"; Changying Du, Chinese Academy of Sciences; Ping Luo, CAS, China; Qing He, Chinese Academy of Sciences
  • Paper ID 1028, Predicting the Popularity of Online Serials with Autoregressive Models, Biao Chang, University of Science and Tech; hengshu Zhu, ; Yong Ge, ; Enhong Chen, University of Science and Technology of China; Hui Xiong, "Rutgers,the State University of New Jersey"; Chang Tan,
  • Paper ID 1029, Learning Interactions for Social Prediction in Large-scale Networks, Xiaofeng Yu, HP Labs China; Junqing Xie,
  • Paper ID 1031, Identifying Your Customers in Social Networks, Chun-Ta Lu, UIC; Hong-Han Shuai, NTU; Philip Yu, University of Illinois at Chicago
  • Paper ID 1034, On Independence Atoms and Keys, Miika Hannula, University of Helsinki; Juha Kontinen, University of Helsinki; Sebastian Link, The University of Auckland
  • Paper ID 1071, Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups, Yinqing Xu, CUHK; Wai Lam, The Chinese University of HK; Tianyi Lin,
  • Paper ID 1072, On Efficient Meta-Level Features for Effective Text Classification, Sérgio Canuto, UFMG; Thiago Salles, UFMG; Luiz Gonçalves, UFMG; Marcos Gonçalves, ; Gabriel Ramos, UFSJ; Leonardo Rocha, UFSJ; Thierson Rosa,
  • Paper ID 1073, Towards Consistency Checking over Evolving Ontologies, Jiewen Wu, IBM Research; Freddy Lecue, IBM Research
  • Paper ID 1080, Latent Aspect Mining via Exploring Sparsity and Intrinsic Information, Yinqing Xu, CUHK; Tianyi Lin, ; Wai Lam, The Chinese University of HK; Zirui Zhou, ; Hong Cheng, CUHK; Anthony Man-Cho So,
  • Paper ID 1092, Learning a linear model of influence  from transient opinion dynamics, Abir De, IIT  Kharagpur; sourangshu Bhattacharya, IIT Kharagpur; Parantapa Bhattacharya, IIT Kharagpur; niloy Ganguly, IIT Kharagpur; Soumen Chakrabarti, IIT Bombay
  • Paper ID 1129, Regularized Survival Regression with Active Learning for Censored Data, Bhanukiran Vinzamuri, Wayne State University; Yan Li, Wayne State University; Chandan K. Reddy, Wayne State University
  • Paper ID 1135, High Impact Academic Paper Prediction Using Temporal and Topological Features, Feruz Davletov, Istanbul Sehir University; Ali Selman Aydin, Istanbul Sehir University; Ali Cakmak, Istanbul Sehir University
  • Paper ID 1166, Concept-based Short Text Classification and Ranking, Zhongyuan Wang, Renmin University of China; Fang Wang, Beihang University; Wen Ji-Rong, Renmin University of China; zhoujun Li, Beihang University
  • Paper ID 1212, CARS2: Learning Context-aware Representations for Context-Aware Recommendations, Yue Shi, Yahoo! Labs; Alexandros Karatzoglou, Telefonica Research; Linas Baltrunas, Telefonica Research; Martha Larson, TU Delft; Alan Hanjalic, TU Delft
  • Paper ID 1245, Exploring Ensemble of Models in Taxonomy-based Cross-Domain Sentiment Classification, Cong-Kai Lin, National Taiwan University; Yang-Yin Lee, National Taiwan University; Chi-Hsin Yu, National Taiwan University; Hsin-Hsi Chen, National Taiwan University
  • Paper ID 1296, Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference, Joseph Pfeiffer, Purdue University; Jennifer Neville, Purdue; Paul Bennett, Microsoft
  • Paper ID 1298, Canonicalizing Open Knowledge Bases, Luis Galárraga, Télécom ParisTech; Geremy Heitz, Google Inc.; Kevin Murphy, Google Inc.; Fabian Suchanek, Telecom ParisTech
  • Paper ID 1324, Component Detection in Directed Networks, Yu-Keng Shih, ; Sungmin Kim, ; Yiye Ruan, The Ohio State University; Jinxing Cheng, ; Abhishek Gattani, ; Tao Shi, ; Srinivasan Parthasarathy,
  • Paper ID 1387, Sampling triples from restricted networks using MCMC strategy, Mahmudur Rahman, IUPUI; Mohammad AlHassan, IUPUI
  • Paper ID 1407, Sketch-based Influence Maximization and Computation: Scaling up with Guarantees, Edith Cohen, Microsoft Research; Daniel Delling, Microsoft Research; Thomas Pajor, Microsoft Research; Renato Werneck, Microsoft Research
  • Paper ID 1421, Transfer Understanding from Head Queries to Tail Queries, Yangqiu Song, UIUC; Haixun Wang, Google Research; Weizhu Chen, ; Shusen Wang,
  • Paper ID 1521, Scalable Distributed Belief Propagation with Prioritized Block Updates, Jiangtao Yin, UMASS Amherst; Lixin Gao, University of Massachusetts Amherst
  • Paper ID 1536, Data/Feature Distributed Stochastic Coordinate Descent for Fast, Scalable, and High-Dim. Logistic Regression, Dongyeop Kang, ; Woosang Lim, ; Kijung Shin, Seoul National University; Sael Lee, ; U Kang, KAIST
  • Paper ID 1633, Robust Principal Component Analysis with Missing Data, Fanhua Shang, CUHK; Yuanyuan Liu, The Chinese University of Hong Kong; James Cheng, CUHK; Hong Cheng, CUHK
  • Paper ID 1636, Mining and Planning Time-aware Routes  Using Location Check-in Data, Hsun-Ping Hsieh, National Taiwan University; Cheng-Te Li, Academia Sinica
  • Paper ID 1681, Rebuilding the Tower of Babel: Towards Cross-System Malware Information Sharing, Ting Wang, IBM Research; Shicong Meng, IBM Research; Wei Gao, The University of Tennessee, Knoxville
  • Paper ID 1700, Domain Cartridge : Unsupervised Framework for Shallow Domain Ontology Construction from Corpus, Subhabrata Mukherjee, MPI; Jitendra Ajmera, ; Sachindra Joshi,
  • Paper ID 1742, Scalable Vaccine Distribution in Large Graphs given Uncertain Data, Yao Zhang, Virginia Tech; Aditya Prakash, Virginia Tech
  • Paper ID 1759, What a Nasty day: Exploring Mood-Weather Relationship from Twitter, Xun Wang, NTT
  • Paper ID 1770, Multi-task Sparse Structure Learning, Andre Goncalves, University of Minnesota; Puja Das, ; Soumyadeep Chatterjee, ; Vidyashankar Sivakumar, ; Fernando Von Zuben, ; arindam Banerjee,
  • Paper ID 118, Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks, Hao Zhong, Zhejiang University; Weike Pan, Shenzhen University; Congfu Xu, ; Zhi Yin, ; Zhong Ming,
  • Paper ID 153, Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering, Haijun Zhang, Beihang University; zhoujun Li, Beihang University; Yan Chen, ; Xiaoming Zhang, Beihang University; Senzhang Wang, Beihang University
  • Paper ID 163, Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data, Mingjie Qian, UIUC; Chengxiang Zhai, UIUC
  • Paper ID 246, Enterprise Discussion Analysis, Sara Rosenthal, Columbia Unviersity; Ashish Jagmohan, IBM TJ Watson Research
  • Paper ID 260, What is the Shape of a Cluster? Structural Comparisons of Document Clusters, Vinay Deolalikar, Hewlett-Packard
  • Paper ID 456, CONR: A Novel Method for Sentiment Word Identification, Jiguang Liang, Institute of Information Engin; Xiaofei Zhou, IIE,CAS; Yue Hu, ; Li Guo, ; Shuo Bai, Shanghai Stock Exchange
  • Paper ID 507, Modeling Retail Transaction Data for Personalized Shopping Recommendation, Pengfei Wang, ICT; Jiafeng Guo, ; Yanyan Lan, ICT,CAS; Xueqi Cheng, ICT, CAS
  • Paper ID 697, Semantic topology, Jussi Karlgren, Gavagai; Ariel Ekgren, ; Gabriel Isheden, ; David Nilsson, ; Emelie Kullmann, ; Martin Bohman,
  • Paper ID 764, Identifying Latent Study Habits by Mining Learner Behavior Patterns in Massive Open Online Courses, Miaomiao Wen, CMU; Carolyn Rose, CMU
  • Paper ID 786, Non-independent Cascade Formation: Temporal and Spatial Effects, Biru Cui, RIT; Shanchieh Jay  Yang, rochester institute of technology; Christopher Homan, rochester institute of technology
  • Paper ID 787, Multi-document Hyperedge-based Ranking for Text Summarization, Abdelghani Bellaachia, George Washington University; Mohammed Al-Dhelaan, George Washington University
  • Paper ID 917, Using Local Information to Significantly Improve Classification Performance, Wei LIU, Univ of Technology Sydney; Dong Lee, ; Kotagiri Rao, The University of Melbourne, Australia
  • Paper ID 980, Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition, Lei Fang, Tsinghua University; Qiao Qian, Tsinghua University; Minlie Huang, Tsinghua University; Xiaoyan Zhu, Dept. of Computer Sci. and Tech., Tsinghua University, Beijing, China
  • Paper ID 1081, Dynamic Clustering of Contextual Multi-Armed Bandits, Trong Nguyen, Singapore Management University; Hady Lauw, Singapore Management University
  • Paper ID 1182, Nonlinear Classification via Linear SVMs and Multi-Task Learning, Xue Mao, Institute of Automation, CAS; Ou Wu, ; Weiming Hu, ; Peter O'Donovan, University of Toronto
  • Paper ID 1211, A Bootstrapping Based  Refinement Framework for Mining Opinion Words and Targets, Qiyun Zhao, Institute of Software Chinese Academy of Sciences; Hao Wang, Institute of Software Chinese Academy of Sciences; Pin Lv, Institute of Software Chinese Academy of Sciences; Chen Zhang,
  • Paper ID 1401, Entity oriented Task extraction from query logs, Manisha Verma, UCL; Emine Yilmaz, UCL
  • Paper ID 1499, A Meta-reasoner to Rule Them All, Yong-Bin Kang, Monash University; Yuan-Fang Li, Monash University
  • Paper ID 1504, A Problem-Action Relation Extraction Based on Causality Patterns of Clinical Events in Discharge Summaries, Jaewook Seol, Chonbuk National University ; Kyung-Soon Lee, Chonbuk National University; Jinwook Choi, Seoul National University; Seung-Hyeon Jo, Chonbuk National University; Wangjin Yi, Seoul National University
  • Paper ID 1645, Improving Recommendation Accuracy by Combining Trust Communities and Collaborative Filtering, Xiao Ma, Hust; Hongwei Lu, ; Zaobin Gan,
  • Paper ID 1754, Constrained Question Recommendation in MOOCs via Submodularity, Diyi Yang, Carnegie Mellon University; Jingbo Shang, Shanghai Jiao Tong University