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- W55652079 abstract "In 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." @default.
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- W55652079 date "2013-01-01" @default.
- W55652079 modified "2023-09-24" @default.
- W55652079 title "Personalized News Recommendation Using Ontologies Harvested from the Web" @default.
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- W55652079 doi "https://doi.org/10.1007/978-3-642-38562-9_79" @default.
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