Predicting best answerers for new questions: An approach leveraging topic modeling and collaborative voting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8359 LNCS, Issue , 2014, Pages 55-68

  Tian, Yuan ^a   Kochhar, Pavneet Singh ^a   Lim, Ee Peng ^a   Zhu, Feida ^a   Lo, David ^a  

^a SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

Author keywords

collaborative voting; CQA; expert recommendation; topic modeling

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

COLLABORATIVE VOTING; COMMUNITY QUESTION ANSWERING; CQA; EXPERT RECOMMENDATIONS; SHARE KNOWLEDGE; TOPIC MODELING; USER'S INTEREST; VOTING MECHANISM;

INFORMATION SCIENCE;

EID: 84901686224     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-55285-4_5     Document Type: Conference Paper

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