Developing a user recommendation engine on Twitter using estimated latent topics

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

Volumn 6761 LNCS, Issue PART 1, 2011, Pages 461-470

  Koga, Hiroyuki ^a   Taniguchi, Tadahiro ^b  

^a RITSUMEIKAN UNIVERSITY   (Japan)

^b RITSUMEIKAN UNIVERSITY   (Japan)

Author keywords

Information Recommendation; LDA; Twitter

Indexed keywords

INFORMAL COMMUNICATION; INFORMATION RECOMMENDATION; KL-DIVERGENCE; LATENT DIRICHLET ALLOCATIONS; LDA; MICROBLOGGING; RECOMMENDATION ALGORITHMS; RECOMMENDATION ENGINE; TWITTER; WEB COMMUNICATIONS; MICRO-BLOGGING SERVICES;

ALGORITHMS; HUMAN COMPUTER INTERACTION; KNOWLEDGE MANAGEMENT; SOCIAL NETWORKING (ONLINE); USER INTERFACES; DATA MINING; ENGINES; RECOMMENDER SYSTEMS; STATISTICS;

RECOMMENDER SYSTEMS; HUMAN COMPUTER INTERACTION;

EID: 79960295276     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21602-2_50     Document Type: Conference Paper

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