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ORCID23rd CIKM 2014: Shanghai, China
- Jianzhong Li, Xiaoyang Sean Wang, Minos N. Garofalakis, Ian Soboroff, Torsten Suel, Min Wang:
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014. ACM 2014, ISBN 978-1-4503-2598-1
DB Session 1 - Query Processing
- Li-Yan Yuan, Lengdong Wu, Jia-Huai You, Yan Chi:
Rubato DB: A Highly Scalable Staged Grid Database System for OLTP and Big Data Applications. 1-10 - Chen Jason Zhang, Lei Chen
, Yongxin Tong:
MaC: A Probabilistic Framework for Query Answering with Machine-Crowd Collaboration. 11-20 - Anastasios Zouzias, Michail Vlachos, Vagelis Hristidis:
Templated Search over Relational Databases. 21-30 - Zhong Zeng, Zhifeng Bao, Thuy Ngoc Le, Mong-Li Lee, Tok Wang Ling:
ExpressQ: Identifying Keyword Context and Search Target in Relational Keyword Queries. 31-40 - Stefan Böttcher, Sebastian Link, Lin Zhang:
Pulling Conjunctive Query Equivalence out of the Bag. 41-50
IR Session 1 - IR Evaluation
- Ahmed Hassan Awadallah, Imed Zitouni:
Machine-Assisted Search Preference Evaluation. 51-60 - Tetsuya Sakai:
Designing Test Collections for Comparing Many Systems. 61-70 - Anne Schuth, Floor Sietsma, Shimon Whiteson, Damien Lefortier, Maarten de Rijke:
Multileaved Comparisons for Fast Online Evaluation. 71-80 - Colin Wilkie, Leif Azzopardi:
A Retrievability Analysis: Exploring the Relationship Between Retrieval Bias and Retrieval Performance. 81-90 - Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, Peter Bailey:
Relevance and Effort: An Analysis of Document Utility. 91-100
R Session 2 - Models
- Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil:
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval. 101-110 - Samuel J. Huston, W. Bruce Croft:
A Comparison of Retrieval Models using Term Dependencies. 111-120 - Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun:
Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation. 121-130 - Jiaul H. Paik, Douglas W. Oard:
A Fixed-Point Method for Weighting Terms in Verbose Informational Queries. 131-140 - Wen Chan, Jintao Du, Weidong Yang, Jinhui Tang, Xiangdong Zhou:
Term Selection and Result Reranking for Question Retrieval by Exploiting Hierarchical Classification. 141-150
KM Session 1: Social Networks & Social Media I
- Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang:
Analysis on Community Variational Trend in Dynamic Networks. 151-160 - Xiaofeng Yu, Junqing Xie:
Learning Interactions for Social Prediction in Large-scale Networks. 161-170 - Qi Liu, Biao Xiang, Enhong Chen, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu:
Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach. 171-180 - Jiliang Tang, Xia Hu, Yi Chang, Huan Liu:
Predictability of Distrust with Interaction Data. 181-190 - Lucas Rêgo Drumond, Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Wolfgang Nejdl:
Optimizing Multi-Relational Factorization Models for Multiple Target Relations. 191-200
KM Session 2 - Classification I
- Rakesh Pimplikar, Dinesh Garg, Deepesh Bharani, Gyana R. Parija:
Learning to Propagate Rare Labels. 201-210 - Charmgil Hong, Iyad Batal, Milos Hauskrecht:
A Mixtures-of-Trees Framework for Multi-Label Classification. 211-220 - Johannes Schneider, Jasmina Bogojeska, Michail Vlachos:
Solving Linear SVMs with Multiple 1D Projections. 221-230 - Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering. 231-240 - Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy:
Active Learning based Survival Regression for Censored Data. 241-250
KM Session 3 - Recommenders & Collaborative Filtering I
- Yinqing Xu, Wai Lam, Tianyi Lin:
Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups. 251-260 - Tong Zhao, Julian J. McAuley, Irwin King:
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. 261-270 - Yong Zheng, Bamshad Mobasher, Robin D. Burke:
Deviation-Based Contextual SLIM Recommenders. 271-280 - Tianchun Wang, Xiaoming Jin, Xuetao Ding, Xiaojun Ye:
User Interests Imbalance Exploration in Social Recommendation: A Fitness Adaptation. 281-290 - Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic:
CARS2: Learning Context-aware Representations for Context-aware Recommendations. 291-300
IR Session 3 - Linguistics
- Richard McCreadie, Craig Macdonald, Iadh Ounis:
Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty. 301-310 - Zhaoyan Ming, Jintao Ye, Tat-Seng Chua:
A Dynamic Reconstruction Approach to Topic Summarization of User-Generated-Content. 311-320 - Dong Nguyen, Dolf Trieschnigg, Mariët Theune:
Using Crowdsourcing to Investigate Perception of Narrative Similarity. 321-330 - Roman Prokofyev, Ruslan Mavlyutov, Martin Grund, Gianluca Demartini, Philippe Cudré-Mauroux:
Correct Me If I'm Wrong: Fixing Grammatical Errors by Preposition Ranking. 331-340
IR Session 4 - Community QA & Social Search
- Parikshit Sondhi, ChengXiang Zhai:
Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites. 341-350 - David Carmel, Avihai Mejer, Yuval Pinter, Idan Szpektor:
Improving Term Weighting for Community Question Answering Search Using Syntactic Analysis. 351-360 - Bo-Wen Zhang, Xu-Cheng Yin, Xiao-Ping Cui, Jiao Qu, Bin Geng, Fang Zhou, Li Song, Hong-Wei Hao:
Social Book Search Reranking with Generalized Content-Based Filtering. 361-370 - Kai Zhang, Wei Wu, Haocheng Wu, Zhoujun Li, Ming Zhou:
Question Retrieval with High Quality Answers in Community Question Answering. 371-380
KM Session 4 - Social Networks & Social Media II
- Yilin Shen, Hongxia Jin:
Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks. 381-390 - Chun-Ta Lu, Hong-Han Shuai, Philip S. Yu:
Identifying Your Customers in Social Networks. 391-400 - Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti:
Learning a Linear Influence Model from Transient Opinion Dynamics. 401-410 - Zhanpeng Fang, Xinyu Zhou, Jie Tang, Wei Shao, Alvis Cheuk M. Fong, Longjun Sun, Ying Ding, Ling Zhou, Jarder Luo:
Modeling Paying Behavior in Game Social Networks. 411-420
KM Session 5 - Classification II
- Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao:
Enabling Precision/Recall Preferences for Semi-supervised SVM Training. 421-430 - Liang Xie, Peng Pan, Yansheng Lu, Shixun Wang:
A Cross-modal Multi-task Learning Framework for Image Annotation. 431-440 - Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He:
Multi-task Multi-view Learning for Heterogeneous Tasks. 441-450 - André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee:
Multi-task Sparse Structure Learning. 451-460
KM Session 6 - Recommenders & Collaborative Filtering I
- Wentao Robin Ouyang, Mani B. Srivastava, Alice Toniolo, Timothy J. Norman:
Truth Discovery in Crowdsourced Detection of Spatial Events. 461-470 - Weishan Dong, Renjie Yao, Chunyang Ma, Changsheng Li, Lei Shi, Lu Wang, Yu Wang, Peng Gao, Junchi Yan:
Maximizing Multi-scale Spatial Statistical Discrepancy. 471-480 - Hsun-Ping Hsieh, Cheng-Te Li:
Mining and Planning Time-aware Routes from Check-in Data. 481-490 - Feruz Davletov, Ali Selman Aydin, Ali Cakmak:
High Impact Academic Paper Prediction Using Temporal and Topological Features. 491-498
DB Session 2 - Knowledge Base & Data Semantics
- Zhaochen Guo, Denilson Barbosa:
Robust Entity Linking via Random Walks. 499-508 - Buwen Wu, Yongluan Zhou, Pingpeng Yuan, Hai Jin, Ling Liu:
SemStore: A Semantic-Preserving Distributed RDF Triple Store. 509-518 - Ye Yuan, Guoren Wang, Lei Chen:
Pattern Match Query in a Large Uncertain Graph. 519-528 - Xiangfu Meng, Longbing Cao, Jingyu Shao:
Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis. 529-538
IR Session 5 - Users
- Jaime Arguello, Robert G. Capra:
The Effects of Vertical Rank and Border on Aggregated Search Coherence and Search Behavior. 539-548 - Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi:
An Eye-tracking Study of User Interactions with Query Auto Completion. 549-558 - Shuai Huo, Min Zhang, Yiqun Liu, Shaoping Ma:
Improving Tail Query Performance by Fusion Model. 559-568 - Chang Liu, Jingjing Liu, Nicholas J. Belkin:
Predicting Search Task Difficulty at Different Search Stages. 569-578 - Shuya Ochiai, Makoto P. Kato, Katsumi Tanaka:
Re-call and Re-cognition in Episode Re-retrieval: A User Study on News Re-finding a Fortnight Later. 579-588
IR Session 6 - Query Intent
- Damien Lefortier, Pavel Serdyukov, Maarten de Rijke:
Online Exploration for Detecting Shifts in Fresh Intent. 589-598 - Emine Yilmaz, Evangelos Kanoulas, Nick Craswell:
Effect of Intent Descriptions on Retrieval Evaluation. 599-608 - Haitao Yu, Fuji Ren:
Search Result Diversification via Filling Up Multiple Knapsacks. 609-618 - Huasha Zhao, Ye Chen, John F. Canny, Tak W. Yan:
Query Augmentation based Intent Matching in Retail Vertical Ads. 619-628
KM Session 7 - Social Networks & Social Media III
- Edith Cohen, Daniel Delling, Thomas Pajor, Renato F. Werneck:
Sketch-based Influence Maximization and Computation: Scaling up with Guarantees. 629-638 - Joseph John Pfeiffer III, Jennifer Neville, Paul N. Bennett:
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference. 639-648 - Huan Gui, Yizhou Sun, Jiawei Han, George Brova:
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks. 649-658 - Quan Yuan, Gao Cong, Aixin Sun:
Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences. 659-668 - Shivaram Kalyanakrishnan, Deepthi Singh, Ravi Kant:
On Building Decision Trees from Large-scale Data in Applications of On-line Advertising. 669-678
KM Session 8 - Clustering and Ranking
- Michail Vlachos, Francesco Fusco, Charalampos Mavroforakis, Anastasios Kyrillidis, Vassilios G. Vassiliadis:
Improving Co-Cluster Quality with Application to Product Recommendations. 679-688 - Xinsheng Li, Shengyu Huang, Kasim Selçuk Candan, Maria Luisa Sapino:
Focusing Decomposition Accuracy by Personalizing Tensor Decomposition (PTD). 689-698 - Chuan Shi, Ran Wang, Yitong Li, Philip S. Yu, Bin Wu:
Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection. 699-708 - Jingyuan Zhang, Xiangnan Kong, Roger Jie Luo, Yi Chang, Philip S. Yu:
NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites. 709-718 - Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Similarity Search using Concept Graphs. 719-728
KM Session 9 - Recommenders & Collaborative Filtering II
- Eirini Ntoutsi, Kostas Stefanidis, Katharina Rausch, Hans-Peter Kriegel:
"Strength Lies in Differences": Diversifying Friends for Recommendations through Subspace Clustering. 729-738 - Yong Liu, Wei Wei, Aixin Sun, Chunyan Miao:
Exploiting Geographical Neighborhood Characteristics for Location Recommendation. 739-748 - Mohammad Y. Allaho, Wang-Chien Lee:
Increasing the Responsiveness of Recommended Expert Collaborators for Online Open Projects. 749-758 - Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-Regularized One-Class Collaborative Filtering. 759-768 - Xin Wang, Weike Pan, Congfu Xu:
HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation. 769-778
DB Session 3 - Social and Graph Data
- Zhou Zhao, James Cheng, Furu Wei, Ming Zhou, Wilfred Ng, Yingjun Wu:
SocialTransfer: Transferring Social Knowledge for Cold-Start Cowdsourcing. 779-788 - Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios:
CAST: A Context-Aware Story-Teller for Streaming Social Content. 789-798 - Xingjie Liu, Yuanyuan Tian, Qi He, Wang-Chien Lee, John McPherson:
Distributed Graph Summarization. 799-808 - Yongxin Tong, Xiaofei Zhang, Caleb Chen Cao, Lei Chen:
Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs. 809-818
IR Session 7: Exploratory Search
- Kumaripaba Athukorala, Antti Oulasvirta, Dorota Glowacka, Jilles Vreeken, Giulio Jacucci:
Narrow or Broad?: Estimating Subjective Specificity in Exploratory Search. 819-828 - Ahmed Hassan Awadallah, Ryen W. White, Patrick Pantel, Susan T. Dumais, Yi-Min Wang:
Supporting Complex Search Tasks. 829-838 - Weize Kong, James Allan:
Extending Faceted Search to the General Web. 839-848 - Yiqun Liu, Chao Wang, Ke Zhou, Jian-Yun Nie, Min Zhang, Shaoping Ma:
From Skimming to Reading: A Two-stage Examination Model for Web Search. 849-858
KM Session 10: Text Data Mining I
- Maksim Tkachenko, Hady Wirawan Lauw:
Generative Modeling of Entity Comparisons in Text. 859-868 - Mihajlo Grbovic, Guy Halawi, Zohar Shay Karnin, Yoelle Maarek:
How Many Folders Do You Really Need?: Classifying Email into a Handful of Categories. 869-878 - Yinqing Xu, Tianyi Lin, Wai Lam, Zirui Zhou, Hong Cheng, Anthony Man-Cho So:
Latent Aspect Mining via Exploring Sparsity and Intrinsic Information. 879-888 - Renxian Zhang, Naishi Liu:
Recognizing Humor on Twitter. 889-898
KM Session 11: Knowledge Representation & Reasoning I
- Jiewen Wu, Freddy Lécué:
Towards Consistency Checking over Evolving Ontologies. 909-918 - Jianfeng Du, Guilin Qi, Xuefeng Fu:
A Practical Fine-grained Approach to Resolving Incoherent OWL 2 DL Terminologies. 919-928 - Subhabrata Mukherjee, Jitendra Ajmera, Sachindra Joshi:
Domain Cartridge: Unsupervised Framework for Shallow Domain Ontology Construction from Corpus. 929-938 - Marcelo Arenas, Bernardo Cuenca Grau, Evgeny Kharlamov, Sarunas Marciuska, Dmitriy Zheleznyakov:
Faceted Search over Ontology-Enhanced RDF Data. 939-948
DB Session 4 - Data Integration and Big Data
- Ziawasch Abedjan, Patrick Schulze, Felix Naumann:
DFD: Efficient Functional Dependency Discovery. 949-958 - Arvid Heise, Gjergji Kasneci, Felix Naumann:
Estimating the Number and Sizes of Fuzzy-Duplicate Clusters. 959-968 - Mijung Kim, K. Selçuk Candan:
Efficient Static and Dynamic In-Database Tensor Decompositions on Chunk-Based Array Stores. 969-978 - Merih Seran Uysal, Christian Beecks, Jochen Schmücking, Thomas Seidl:
Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures. 979-988
IR Session 8: Social Media
- Shangsong Liang, Zhaochun Ren, Wouter Weerkamp, Edgar Meij, Maarten de Rijke:
Time-Aware Rank Aggregation for Microblog Search. 989-998 - Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong:
Tagging Your Tweets: A Probabilistic Modeling of Hashtag Annotation in Twitter. 999-1008 - Nikita V. Spirin, Junfeng He, Mike Develin, Karrie G. Karahalios, Maxime Boucher:
People Search within an Online Social Network: Large Scale Analysis of Facebook Graph Search Query Logs. 1009-1018 - Yuhao Yang, Chao Lan, Xiaoli Li, Bo Luo, Jun Huan:
Automatic Social Circle Detection Using Multi-View Clustering. 1019-1028
IR Session 9: Machine Learning
- Paolo Annesi, Danilo Croce, Roberto Basili:
Semantic Compositionality in Tree Kernels. 1029-1038 - Robert Meusel, Peter Mika, Roi Blanco:
Focused Crawling for Structured Data. 1039-1048 - Fangzhao Wu, Jun Xu, Hang Li, Xin Jiang:
Ranking Optimization with Constraints. 1049-1058 - Maxim Zhukovskiy, Gleb Gusev, Pavel Serdyukov:
Supervised Nested PageRank. 1059-1068
KM Session 12: Text Data Mining II
- Fang Wang, Zhongyuan Wang, Zhoujun Li, Ji-Rong Wen:
Concept-based Short Text Classification and Ranking. 1069-1078 - William Lucia, Elena Ferrari:
EgoCentric: Ego Networks for Knowledge-based Short Text Classification. 1079-1088 - Zheng Lin, Xiaolong Jin, Xueke Xu, Weiping Wang, Xueqi Cheng, Yuanzhuo Wang:
A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis. 1089-1098 - Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring. 1099-1108
KM Session 13: Mining Data Streams
- Yongsub Lim, Jihoon Choi, U Kang:
Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams. 1109-1118 - Xilun Chen, K. Selçuk Candan:
GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams. 1119-1128 - Zhilin Yang, Jie Tang, Yutao Zhang:
Active Learning for Streaming Networked Data. 1129-1138 - Yuto Yamaguchi, Toshiyuki Amagasa, Hiroyuki Kitagawa, Yohei Ikawa:
Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams. 1139-1148
KM Session 14: Data Mining Theory & Methods
- Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng:
Robust Principal Component Analysis with Missing Data. 1149-1158 - Lizhong Ding, Shizhong Liao:
Model Selection with the Covering Number of the Ball of RKHS. 1159-1168 - Aubrey Gress, Ian Davidson:
A Flexible Framework for Projecting Heterogeneous Data. 1169-1178 - Sreenivas Gollapudi, Debmalya Panigrahi:
Fair Allocation in Online Markets. 1179-1188 - Yongfeng Zhang, Min Zhang, Yi Zhang, Yiqun Liu, Shaoping Ma:
Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables. 1189-1198
KM Session 15: Knowledge Representation & Reasoning II
- William Yang Wang, Kathryn Mazaitis, William W. Cohen:
Structure Learning via Parameter Learning. 1199-1208 - Jiangtao Yin, Lixin Gao:
Scalable Distributed Belief Propagation with Prioritized Block Updates. 1209-1218 - Chang Xu, Yalong Bai, Jiang Bian, Bin Gao, Gang Wang, Xiaoguang Liu, Tie-Yan Liu:
RC-NET: A General Framework for Incorporating Knowledge into Word Representations. 1219-1228 - Miika Hannula, Juha Kontinen, Sebastian Link:
On Independence Atoms and Keys. 1229-1238 - Ting Wang, Shicong Meng, Wei Gao, Xin Hu:
Rebuilding the Tower of Babel: Towards Cross-System Malware Information Sharing. 1239-1248
KM Session 16: Large- Scale Machine Learning
- Zhensong Qian, Oliver Schulte, Yan Sun:
Computing Multi-Relational Sufficient Statistics for Large Databases. 1249-1258