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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 - Zhi-Qin Yu, Xing-Jian Shi, Ling Yan, Wu-Jun Li:
Distributed Stochastic ADMM for Matrix Factorization. 1259-1268 - Dongyeop Kang, Woosang Lim, Kijung Shin, Lee Sael, U Kang:
Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression. 1269-1278 - Cong-Kai Lin, Yang-Yin Lee, Chi-Hsin Yu, Hsin-Hsi Chen:
Exploring Ensemble of Models in Taxonomy-based Cross-Domain Sentiment Classification. 1279-1288 - Diego Calvanese, Marco Montali, Montserrat Estañol, Ernest Teniente:
Verifiable UML Artifact-Centric Business Process Models. 1289-1298
KM Session 17: Web Data Mining
- Yangqiu Song, Haixun Wang, Weizhu Chen, Shusen Wang:
Transfer Understanding from Head Queries to Tail Queries. 1299-1308 - Jiwei Li, Xun Wang, Eduard H. Hovy:
What a Nasty Day: Exploring Mood-Weather Relationship from Twitter. 1309-1318 - Kar Wai Lim, Wray L. Buntine:
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon. 1319-1328 - NhatHai Phan, Dejing Dou, Xiao Xiao, Brigitte Piniewski, David Kil:
Analysis of Physical Activity Propagation in a Health Social Network. 1329-1338 - Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan:
Predicting the Popularity of Online Serials with Autoregressive Models. 1339-1348
KM Session 18: Data Mining Applications & Bioinformatics
- Simon Walk, Philipp Singer, Markus Strohmaier:
Sequential Action Patterns in Collaborative Ontology-Engineering Projects: A Case-Study in the Biomedical Domain. 1349-1358 - Haifeng Liu, Yang Liu, Xiang Li, Guo Tong Xie, Geetika T. Lakshmanan:
Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway. 1359-1368 - Longhui Zhang, Lei Li, Tao Li, Dingding Wang:
PatentDom: Analyzing Patent Relationships on Multi-View Patent Graphs. 1369-1378 - Shuting Wang, Zhen Lei, Wang-Chien Lee:
Exploring Legal Patent Citations for Patent Valuation. 1379-1388 - Hideaki Kim, Noriko Takaya, Hiroshi Sawada:
Tracking Temporal Dynamics of Purchase Decisions via Hierarchical Time-Rescaling Model. 1389-1398
DB Session 5 - Systems and Applications
- Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems. 1399-1408 - Haozhou Wang, Kai Zheng, Jiajie Xu, Bolong Zheng, Xiaofang Zhou, Shazia Wasim Sadiq:
SharkDB: An In-Memory Column-Oriented Trajectory Storage. 1409-1418 - Kai Shu, Ping Luo, Wan Li, Peifeng Yin, Linpeng Tang:
Deal or deceit: detecting cheating in distribution channels. 1419-1428 - Guoming Tang, Kui Wu, Jian Pei, Jiuyang Tang, Jingsheng Lei:
An Appliance-Driven Approach to Detection of Corrupted Load Curve Data. 1429-1438
IR Session 10: Engagement, Social, Crowdsourcing
- Ioannis Arapakis, Mounia Lalmas, George Valkanas:
Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures. 1439-1448 - Julia Kiseleva, Eric Crestan, Riccardo Brigo, Roland Ditte:
Modelling and Detecting Changes in User Satisfaction. 1449-1458 - Philip J. McParlane, Andrew James McMinn, Joemon M. Jose:
"Picture the scene...";: Visually Summarising Social Media Events. 1459-1468 - Markus Rokicki, Sergiu Chelaru, Sergej Zerr, Stefan Siersdorfer:
Competitive Game Designs for Improving the Cost Effectiveness of Crowdsourcing. 1469-1478
IR Session 11: Semantics
- Fan Zhu, Ling Shao, Mengyang Yu:
Cross-Modality Submodular Dictionary Learning for Information Retrieval. 1479-1488 - Yasuhiro Takayama, Yoichi Tomiura, Emi Ishita, Douglas W. Oard, Kenneth R. Fleischmann, An-Shou Cheng:
A Word-Scale Probabilistic Latent Variable Model for Detecting Human Values. 1489-1498 - Zhaohui Wu, Yuanhua Lv, Ariel Fuxman:
Searching Locally-Defined Entities. 1499-1508 - Xingwei Zhu, Zhaoyan Ming, Yu Hao, Xiaoyan Zhu, Tat-Seng Chua:
Customized Organization of Social Media Contents using Focused Topic Hierarchy. 1509-1518
KM Session 19: Graph Data Mining I
- Mahmudur Rahman, Mohammad Al Hasan:
Sampling Triples from Restricted Networks using MCMC Strategy. 1519-1528 - Weiguo Zheng, Lei Zou, Xiang Lian, Liang Hong, Dongyan Zhao:
Efficient Subgraph Skyline Search Over Large Graphs. 1529-1538 - Jialong Han, Ji-Rong Wen, Jian Pei:
Within-Network Classification Using Radius-Constrained Neighborhood Patterns. 1539-1548 - Panagiotis Liakos, Katia Papakonstantinopoulou, Michael Sioutis:
Pushing the Envelope in Graph Compression. 1549-1558
DB Session 6 - Privacy and Streams
- Boxiang Dong, Ruilin Liu, Wendy Hui Wang:
PraDa: Privacy-preserving Data-Deduplication-as-a-Service. 1559-1568 - Chunyao Song, Tingjian Ge:
Aroma: A New Data Protection Method with Differential Privacy and Accurate Query Answering. 1569-1578 - Andreas Chatzistergiou, Stratis D. Viglas:
Fast Heuristics for Near-Optimal Task Allocation in Data Stream Processing over Clusters. 1579-1588 - Zhou Zhao, James Cheng, Wilfred Ng:
Truth Discovery in Data Streams: A Single-Pass Probabilistic Approach. 1589-1598
IR Session 12: Efficiency
- Fei Cai, Shangsong Liang, Maarten de Rijke:
Time-sensitive Personalized Query Auto-Completion. 1599-1608 - Hao Wu, Hui Fang:
Document Prioritization for Scalable Query Processing. 1609-1618 - Hao Wu, Hui Fang:
Analytical Performance Modeling for Top-K Query Processing. 1619-1628 - Jiancong Tong, Anthony Wirth, Justin Zobel:
Compact Auxiliary Dictionaries for Incremental Compression of Large Repositories. 1629-1638
IR Session 13: Domain, Semistructured, Mobile
- Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients. 1639-1648 - Yang Liu, Songhua Xu, Lian Duan:
Relationship Emergence Prediction in Heterogeneous Networks through Dynamic Frequent Subgraph Mining. 1649-1658 - Parvaz Mahdabi, Fabio Crestani:
Query-Driven Mining of Citation Networks for Patent Citation Retrieval and Recommendation. 1659-1668 - George D. Montañez, Ryen W. White, Xiao Huang:
Cross-Device Search. 1669-1678
KM Session 20: Entity and Feature Extraction
- Luis Galárraga, Geremy Heitz, Kevin Murphy, Fabian M. Suchanek:
Canonicalizing Open Knowledge Bases. 1679-1688 - Erdal Kuzey, Jilles Vreeken, Gerhard Weikum:
A Fresh Look on Knowledge Bases: Distilling Named Events from News. 1689-1698 - Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang:
Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. 1699-1708 - Sérgio D. Canuto, Thiago Salles, Marcos André Gonçalves, Leonardo Rocha, Gabriel Spada Ramos, Luiz Gonçalves, Thierson Couto Rosa, Wellington Santos Martins:
On Efficient Meta-Level Features for Effective Text Classification. 1709-1718
KM Session 21: Graph Data Mining II
- Yao Zhang, B. Aditya Prakash:
Scalable Vaccine Distribution in Large Graphs given Uncertain Data. 1719-1728 - Yu-Keng Shih, Sungmin Kim, Yiye Ruan, Jinxing Cheng, Rohit Kumar, Tao Shi, Srinivasan Parthasarathy:
Component Detection in Directed Networks. 1729-1738 - Ha-Myung Park, Francesco Silvestri, U Kang, Rasmus Pagh:
MapReduce Triangle Enumeration With Guarantees. 1739-1748 - Pranay Anchuri, Roshan Sumbaly, Sam Shah:
Hotspot Detection in a Service-Oriented Architecture. 1749-1758
DB Track Posters
- Kenneth S. Bøgh, Sean Chester, Darius Sidlauskas, Ira Assent:
Hashcube: A Data Structure for Space- and Query-Efficient Skycube Compression. 1767-1770 - Vinay Deolalikar:
Distance or Coverage?: Retrieving Knowledge-Rich Documents From Enterprise Text Collections. 1771-1774 - Yongrui Qin, Quan Z. Sheng, Nickolas J. G. Falkner, Wei Emma Zhang, Hua Wang:
Indexing Linked Data in a Wireless Broadcast System with 3D Hilbert Space-Filling Curves. 1775-1778 - Yongrui Qin, Quan Z. Sheng, Nickolas J. G. Falkner, Ali Shemshadi, Edward Curry:
Towards Efficient Dissemination of Linked Data in the Internet of Things. 1779-1782 - Anthony Quattrone, Elham Naghizade, Lars Kulik, Egemen Tanin:
Tell Me What You Want and I Will Tell Others Where You Have Been. 1783-1786 - Banda Ramadan, Peter Christen:
Forest-Based Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution. 1787-1790 - Jie Shao, Lars Kulik, Egemen Tanin, Long Guo:
Travel distance versus navigation complexity: a study on different spatial queries on road networks. 1791-1794 - Dinusha Vatsalan, Peter Christen:
Scalable Privacy-Preserving Record Linkage for Multiple Databases. 1795-1798 - Lina Yao, Wenjie Ruan, Quan Z. Sheng, Xue Li, Nickolas J. G. Falkner:
Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches. 1799-1802
IR Track Posters
- Mohammed Algarni, Brent Martin, Tim Bell, Kourosh Neshatian:
Simple Arabic Stemmer. 1803-1806 - Avishek Anand, Ida Mele, Srikanta J. Bedathur, Klaus Berberich:
Phrase Query Optimization on Inverted Indexes. 1807-1810 - Mossaab Bagdouri, Douglas W. Oard, Vittorio Castelli:
CLIR for Informal Content in Arabic Forum Posts. 1811-1814 - Krisztian Balog, Liadh Kelly, Anne Schuth:
Head First: Living Labs for Ad-hoc Search Evaluation. 1815-1818 - Lance De Vine, Guido Zuccon, Bevan Koopman, Laurianne Sitbon, Peter Bruza:
Medical Semantic Similarity with a Neural Language Model. 1819-1822 - Vinay Deolalikar:
Parameter Tuning with User Models: Influencing Aggregate User Behavior in Cluster Based Retrieval Systems. 1823-1826 - Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis:
On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions. 1827-1830 - Carsten Eickhoff, Arjen P. de Vries:
Modelling Complex Relevance Spaces with Copulas. 1831-1834 - Dhruv Gupta, Klaus Berberich:
Identifying Time Intervals of Interest to Queries. 1835-1838 - Maram Hasanain, Tamer Elsayed, Walid Magdy:
Identification of Answer-Seeking Questions in Arabic Microblogs. 1839-1842 - Timothy Jones, Andrew Turpin, Stefano Mizzaro, Falk Scholer, Mark Sanderson:
Size and Source Matter: Understanding Inconsistencies in Test Collection-Based Evaluation. 1843-1846 - Sansung Kim, Keejun Han, Mun Yong Yi, Sinhee Cho, Seongchan Kim:
Exploiting Knowledge Structure for Proximity-aware Movie Retrieval Model. 1847-1850 - Cong Leng, Jian Cheng, Jiaxiang Wu, Xi Zhang, Hanqing Lu:
Supervised Hashing with Soft Constraints. 1851-1854 - Li Li, Longkai Zhang, Guangyi Li, Houfeng Wang:
Probabilistic Classifier Chain Inference via Gibbs Sampling. 1855-1858 - Yuan Lin, Hongfei Lin, Ping Zhang, Bo Xu:
GPQ: Directly Optimizing Q-measure based on Genetic Programming. 1859-1862 - Yuanhua Lv, ChengXiang Zhai:
Revisiting the Divergence Minimization Feedback Model. 1863-1866 - Ilya Markov, Eugene Kharitonov, Vadim Nikulin, Pavel Serdyukov, Maarten de Rijke, Fabio Crestani:
Vertical-Aware Click Model-Based Effectiveness Metrics. 1867-1870 - Ahmet Murat Ozdemiray, Ismail Sengor Altingovde:
Query Performance Prediction for Aspect Weighting in Search Result Diversification. 1871-1874 - Razieh Rahimi, Azadeh Shakery, Irwin King:
Axiomatic Analysis of Cross-Language Information Retrieval. 1875-1878 - Yongli Ren, Martin Tomko, Kevin Ong, Mark Sanderson:
How People Use the Web in Large Indoor Spaces. 1879-1882 - Luchen Tan, Charles L. A. Clarke:
Succinct Queries for Linking and Tracking News in Social Media. 1883-1886 - Liang Tao, Horace Ho-Shing Ip, Yinglin Wang, Xin Shu:
Exploring Shared Subspace and Joint Sparsity for Canonical Correlation Analysis. 1887-1890 - Yongquan Tao, Shengli Wu:
Query Performance Prediction By Considering Score Magnitude and Variance Together. 1891-1894 - Xinhui Tu, Jing Luo, Bo Li, Tingting He:
Log-Bilinear Document Language Model for Ad-hoc Information Retrieval. 1895-1898 - Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si:
Sparse Semantic Hashing for Efficient Large Scale Similarity Search. 1899-1902 - Xiyu Yang, Xueming Qian:
Spatial Verification for Scalable Mobile Image Retrieval. 1903-1906 - Xugang Ye, Jingjing Li, Zijie Qi, Bingyue Peng, Dan Massey:
A Generative Model for Generating Relevance Labels from Human Judgments and Click-Logs. 1907-1910 - Peng Zhang, Linxue Hao, Dawei Song, Jun Wang, Yuexian Hou, Bin Hu:
Generalized Bias-Variance Evaluation of TREC Participated Systems. 1911-1914 - Ke Zhou, Thomas Demeester, Dong Nguyen, Djoerd Hiemstra, Dolf Trieschnigg:
Aligning Vertical Collection Relevance with User Intent. 1915-1918
KM Track Posters
- Abdelghani Bellaachia, Mohammed Al-Dhelaan:
Multi-document Hyperedge-based Ranking for Text Summarization. 1919-1922 - Biru Cui, Shanchieh Jay Yang, Christopher Homan:
Non-independent Cascade Formation: Temporal and Spatial Effects. 1923-1926 - Vinay Deolalikar:
What is the Shape of a Cluster?: Structural Comparisons of Document Clusters. 1927-1930 - Lei Fang, Qiao Qian, Minlie Huang, Xiaoyan Zhu:
Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition. 1931-1934 - Yong-Bin Kang, Shonali Krishnaswamy, Yuan-Fang Li:
A Meta-reasoner to Rule Them All: Automated Selection of OWL Reasoners Based on Efficiency. 1935-1938 - Jussi Karlgren, Martin Bohman, Ariel Ekgren, Gabriel Isheden, Emelie Kullmann, David Nilsson:
Semantic Topology. 1939-1942 - Jiguang Liang, Xiaofei Zhou, Yue Hu, Li Guo, Shuo Bai:
CONR: A Novel Method for Sentiment Word Identification. 1943-1946 - Wei Liu, Dong Lee, Rao Kotagiri:
Using Local Information to Significantly Improve Classification Performance. 1947-1950 - Xiao Ma, Hongwei Lu, Zaobin Gan:
Improving Recommendation Accuracy by Combining Trust Communities and Collaborative Filtering. 1951-1954 - Xue Mao, Ou Wu, Weiming Hu, Peter O'Donovan:
Nonlinear Classification via Linear SVMs and Multi-Task Learning. 1955-1958 - Trong T. Nguyen, Hady Wirawan Lauw:
Dynamic Clustering of Contextual Multi-Armed Bandits. 1959-1962 - Mingjie Qian, ChengXiang Zhai:
Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data. 1963-1966 - Sara Rosenthal, Ashish Jagmohan:
Enterprise Discussion Analysis. 1967-1970 - Jae-Wook Seol, Seung-Hyeon Jo, Wangjin Yi, Jinwook Choi, Kyung-Soon Lee:
A Problem-Action Relation Extraction Based on Causality Patterns of Clinical Events in Discharge Summaries. 1971-1974 - Manisha Verma, Emine Yilmaz:
Entity Oriented Task Extraction from Query Logs. 1975-1978 - Pengfei Wang, Jiafeng Guo, Yanyan Lan:
Modeling Retail Transaction Data for Personalized Shopping Recommendation. 1979-1982 - Miaomiao Wen, Carolyn Penstein Rosé:
Identifying Latent Study Habits by Mining Learner Behavior Patterns in Massive Open Online Courses. 1983-1986 - Diyi Yang, Jingbo Shang, Carolyn Penstein Rosé:
Constrained Question Recommendation in MOOCs via Submodularity. 1987-1990 - Haijun Zhang, Zhoujun Li, Yan Chen, Xiaoming Zhang, Senzhang Wang:
Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering. 1991-1994 - Qiyun Zhao, Hao Wang, Pin Lv, Chen Zhang:
A Bootstrapping Based Refinement Framework for Mining Opinion Words and Targets. 1995-1998 - Hao Zhong, Weike Pan, Congfu Xu, Zhi Yin, Zhong Ming:
Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks. 1999-2002
Demo Session 1
- Rui Li, Xiao Zhang, Xin Zhou, Shan Wang:
INK: A Cloud-Based System for Efficient Top-k Interval Keyword Search. 2003-2005 - Meng Wang, Chaokun Wang, Jun Chen:
CoDEM: An Ingenious Tool of Insight into Community Detection in Social Networks. 2006-2008 - Meng Wang, Jun Liu, Wenqiang Liu, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao:
Faceted Exploring for Domain Knowledge over Linked Open Data. 2009-2011 - Michael Derntl, Nikou Günnemann, Alexander Tillmann, Ralf Klamma, Matthias Jarke:
Building and Exploring Dynamic Topic Models on the Web. 2012-2014 - Xiaomin Xu, Sheng Huang, Yaoliang Chen, Chen Wang, Inge Halilovic, Kevin Brown, Mark Ashworth:
A Demonstration of SearchonTS: An Efficient Pattern Search Framework for Time Series Data. 2015-2017 - Johannes Hoffart, Dragan Milchevski, Gerhard Weikum:
AESTHETICS: Analytics with Strings, Things, and Cats. 2018-2020 - Xing Su, Hanghang Tong, Ping Ji:
Accelerometer-based Activity Recognition on Smartphone. 2021-2023 - Hongzhi Wang, Mingda Li, Yingyi Bu, Jianzhong Li, Hong Gao, Jiacheng Zhang:
Cleanix: A Big Data Cleaning Parfait. 2024-2026 - Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao:
Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. 2027-2029 - Naeemul Hassan, Huadong Feng, Ramesh Venkataraman, Gautam Das, Chengkai Li, Nan Zhang:
Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout. 2030-2032 - Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
WiiCluster: a Platform for Wikipedia Infobox Generation. 2033-2035 - Tengqi Ye, Brian Moynagh, Rami Albatal, Cathal Gurrin:
Negative FaceBlurring: A Privacy-by-Design Approach to Visual Lifelogging with Google Glass. 2036-2038 - Mijung Kim, K. Selçuk Candan:
TensorDB: In-Database Tensor Manipulation with Tensor-Relational Query Plans. 2039-2041 - Eslam Elsawy, Moamen Mokhtar, Walid Magdy:
TweetMogaz v2: Identifying News Stories in Social Media. 2042-2044 - Yuanyuan Wang, Gouki Yasui, Yuji Hosokawa, Yukiko Kawai, Toyokazu Akiyama, Kazutoshi Sumiya:
TwinChat: A Twitter and Web User Interactive Chat System. 2045-2047
Demo Session 2
- Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen:
VFDS: An Application to Generate Fast Sample Databases. 2048-2050 - Yosi Mass, Yehoshua Sagiv:
Knowledge Management for Keyword Search over Data Graphs. 2051-2053 - Hao Chen, Qinmin Hu, Liang He:
Clairvoyant: An Early Prediction System For Video Hits. 2054-2056 - Lei Li, Chao Shen, Long Wang, Li Zheng, Yexi Jiang, Liang Tang, Hongtai Li, Longhui Zhang, Chunqiu Zeng, Tao Li, Jun Tang, Dong Liu:
iMiner: Mining Inventory Data for Intelligent Management. 2057-2059 - Io Taxidou, Peter M. Fischer:
RApID: A System for Real-time Analysis of Information Diffusion in Twitter. 2060-2062 - Ryadh Dahimene, Camélia Constantin, Cédric du Mouza:
RecLand: A Recommender System for Social Networks. 2063-2065 - Nelly Vouzoukidou, Bernd Amann, Vassilis Christophides:
MeowsReader: Real-Time Ranking and Filtering of News with Generalized Continuous Top-k Queries. 2066-2068 - Jingyuan Liu, Debing Liu, Xingyu Yan, Li Dong, Ting Zeng, Yutao Zhang, Jie Tang:
AMiner-mini: A People Search Engine for University. 2069-2071 - Olivier Van Laere, Ilaria Bordino, Yelena Mejova, Mounia Lalmas:
DEESSE: entity-Driven Exploratory and sErendipitous Search SystEm. 2072-2074 - Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Manual Annotation of Semi-Structured Documents for Entity-Linking. 2075-2077 - Romain Deveaud, M-Dyaa Albakour, Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
SmartVenues: Recommending Popular and Personalised Venues in a City. 2078-2080 - Ricardo Campos, Gaël Dias, Alípio Mário Jorge, Célia Nunes:
GTE-Rank: Searching for Implicit Temporal Query Results. 2081-2083 - Alexander Hinneburg, Frank Rosner, Stefan Peßler, Christian Oberländer:
Exploring Document Collections with Topic Frames. 2084-2086 - Joshua Segeren, Dhruv Gairola, Fei Chiang:
CONDOR: A System for CONstraint DiscOvery and Repair. 2087-2089
Workshop Summaries
- Luonan Chen, Doheon Lee, Hua Xu, Min Song:
DTMBIO 2014: International Workshop on Data and Text Mining in Biomedical Informatics. 2090-2091 - Jalal Mahmud, Jeffrey Nichols, Michelle X. Zhou, James Caverlee, Yi Zeng, Liang Chen, John O'Donovan:
DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media. 2092-2093 - Omar Alonso, Jaap Kamps, Jussi Karlgren:
Seventh Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'14): CIKM 2014 Workshop. 2094-2095 - Dirk Ahlers, Erik Wilde, Bruno Martins:
LocWeb'14 - 4th International Workshop on Location and the Web: CIKM 2014 Workshop Summary. 2096-2097 - Gerard de Melo, Mouna Kacimi, Aparna S. Varde:
PIKM 2014: The 7th ACM Workshop for Ph.D. Students in Information and Knowledge Management. 2098-2099 - Alfredo Cuzzocrea:
PSBD 2014: Overview of the 1st International Workshop on Privacy and Security of Big Data. 2100-2101 - Yi Zeng, Spyros Kotoulas, Zhisheng Huang:
Web-KR 2014: The 5th International Workshop on Web-scale Knowledge Representation, Retrieval and Reasoning. 2102-2103
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