Using latent topics to enhance search and recommendation in Enterprise Social Software

Expert Systems with Applications

Volumn 39, Issue 10, 2012, Pages 9297-9307

  Christidis, Konstantinos ^a   Mentzas, Gregoris ^a   Apostolou, Dimitris ^b  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

Enterprise Social Software; Latent Dirichlet Allocation; Latent topic models; Recommender systems; Search

Indexed keywords

FOLKSONOMIES; INFORMAL INTERACTIONS; INFORMATION RESOURCE; KNOWLEDGE STRUCTURES; LATENT DIRICHLET ALLOCATION; LATENT TOPIC MODELS; OPEN SOURCES; ORGANIZATIONAL SYSTEM; PROBABILISTIC TOPIC MODELS; QUERY RESULTS; SEARCH; SMALL AND MEDIUM ENTERPRISE; SOCIAL SOFTWARE; TAG RECOMMENDATIONS; USER ACTIVITY; WEB 2.0;

INDUSTRY; RECOMMENDER SYSTEMS; SEMANTIC WEB; STATISTICS;

OPEN SYSTEMS;

EID: 84859215151     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.073     Document Type: Article

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