TitlePersonalized news recommendation using ontologies harvested from the web
AuthorsRao, Junyang
Jia, Aixia
Feng, Yansong
Zhao, Dongyan
AffiliationICST, Peking University, China
Issue Date2013
Citation14th International Conference on Web-Age Information Management, WAIM 2013.Beidaihe, China,7923 LNCS(781-787).
AbstractIn this paper, we concentrate on exploiting background knowledge to boost personalized news recommendation by capturing underlying semantic relatedness without expensive human involvement. We propose an Ontology Based Similarity Model (OBSM) to calculate the news-user similarity through collaboratively built ontological structures and compare our approach with other ontology-based baselines on both English and Chinese data sets. Our experimental results show that OBSM outperforms other baselines by a large margin. ? 2013 Springer-Verlag Berlin Heidelberg.
URIhttp://hdl.handle.net/20.500.11897/411804
DOI10.1007/978-3-642-38562-9-79
IndexedEI
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