Abstract. We present News@hand, a news recommender system which applies Semantic Web technologies to describe and relate news contents and user preferences in order to produce enhanced recommendations. The multi-domain portability, the multi-media source applicability, and the addressing of some limitations of current recommender systems are the main benefits of our proposal.
The News@hand system REF ) is a news recommender which applies semantic-based technologies to describe and relate news contents and user preferences in order to produce enhanced recommendations.
News@hand: A semantic web approach to recommending news
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Computer Science