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Article recommendation based on a topic model for Wikipedia Selection for Schools
Abstract The 2007 Wikipedia Selection for Schools iThe 2007 Wikipedia Selection for Schools is a collection of 4,625 selected articles from Wikipedia as educational for children. Users can currently access articles within the collection via two different methods: (1) by browsing on either a subject index or a title index sorted alphabetically, and (2) by following hyperlinks embedded within article pages. These two retrieval methods are considered static and subjected to human editors. In this paper, we apply the Latent Dirichlet Allocation (LDA) algorithm to generate a topic model from articles in the collection. Each article can be expressed by a probability distribution on the topic model. We can recommend related articles by calculating the similarity measures among the articles' topic distribution profiles. Our initial experimental results showed that the proposed approach could generate many highly relevant articles, some of which are not covered by the hyperlinks in a given article.ered by the hyperlinks in a given article.
Abstractsub The 2007 Wikipedia Selection for Schools iThe 2007 Wikipedia Selection for Schools is a collection of 4,625 selected articles from Wikipedia as educational for children. Users can currently access articles within the collection via two different methods: (1) by browsing on either a subject index or a title index sorted alphabetically, and (2) by following hyperlinks embedded within article pages. These two retrieval methods are considered static and subjected to human editors. In this paper, we apply the Latent Dirichlet Allocation (LDA) algorithm to generate a topic model from articles in the collection. Each article can be expressed by a probability distribution on the topic model. We can recommend related articles by calculating the similarity measures among the articles' topic distribution profiles. Our initial experimental results showed that the proposed approach could generate many highly relevant articles, some of which are not covered by the hyperlinks in a given article.ered by the hyperlinks in a given article.
Bibtextype inproceedings  +
Doi 10.1007/978-3-540-89533-6-39  +
Has author Choochart Haruechaiyasak + , Chaianun Damrongrat +
Has extra keyword Content based retrieval + , Hypertext systems + , Libraries + , Probability distributions + , Ubiquitous computing + , World Wide Web + , Content-based filtering + , Educational Web contents + , Latent Dirichlet Allocation (LDA) + , Recommender system + , Wikipedia + , Digital libraries +
Has keyword Content-based filtering + , Educational Web contents + , Latent Dirichlet Allocation (LDA) + , Recommender system + , Wikipedia +
Isbn 3540895329; 9783540895329  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 339–342  +
Published in Lecture Notes in Computer Science +
Title Article recommendation based on a topic model for Wikipedia Selection for Schools +
Type conference paper  +
Volume 5362 LNCS  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 6 November 2014 18:33:29  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 18:33:29  +
DateThis property is a special property in this wiki. 2008  +
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