Predicting the popularity of web 2.0 items based on user comments

SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2014, Pages 233-242

  He, Xiangnan ^a   Gao, Ming ^b   Kan, Min Yen ^a   Liu, Yiqun ^c   Sugiyama, Kazunari ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

Bipartite graph ranking; BUIR; Comments mining; Item ranking; Popularity prediction

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; GRAPH THEORY; INFORMATION RETRIEVAL; SEARCH ENGINES; WORLD WIDE WEB;

ALTERNATIVE SOLUTIONS; BIPARTITE GRAPHS; BUIR; ITEM RANKINGS; POPULARITY PREDICTIONS; RANKING ALGORITHM; REAL-WORLD DATASETS; SOCIAL INFLUENCE;

FORECASTING;

EID: 84904580359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2600428.2609558     Document Type: Conference Paper

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