Article recommendation based on a topic model for Wikipedia Selection for Schools

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

Volumn 5362 LNCS, Issue , 2008, Pages 339-342

  Haruechaiyasak, Choochart ^a   Damrongrat, Chaianun ^a  

^a NATIONAL ELECTRONICS AND COMPUTER TECHNOLOGY CENTER   (Thailand)

Author keywords

Content based filtering; Educational Web contents; Latent Dirichlet Allocation (LDA); Recommender system; Wikipedia

Indexed keywords

HYPERTEXT SYSTEMS; PROBABILITY DISTRIBUTIONS; RECOMMENDER SYSTEMS; STATISTICS;

CONTENT BASED FILTERING; LATENT DIRICHLET ALLOCATIONS; RETRIEVAL METHODS; SIMILARITY MEASURE; TOPIC DISTRIBUTIONS; TOPIC MODELING; WEB CONTENT; WIKIPEDIA;

DIGITAL LIBRARIES;

EID: 58049111152     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89533-6_39     Document Type: Conference Paper

References (2)

1. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. The Journal of Machine Learning Research 3, 993-1022 (2003)
2. Steyvers, M., Griffiths, T.: Probabilistic topic models. In: Landauer, T., McNamara, D., Dennis. S., Kintsch, W. (eds.) Latent Semantic Analysis: A Road to Meaning. Lawrence Erlbaum, Mahwah (2006)