Improving Personalized Search on the Social Web Based on Similarities Between Users

Improving Personalized Search on the Social Web Based on Similarities Between Users

To characterize a user's preference and the social summary of a document, the user profile and the general document profile are widely adopted in the existing personalized ranking functions. However, in many real world situations, using these two profiles can not primely personalize the search...

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Bibliografiske detaljer
Main Authors:	Xu, Z, Lukasiewicz, T, Tifrea−Marciuska, O
Format:	Conference item
Udgivet:	Springer 2014

Lignende værker

Lightweight tag-aware personalized recommendation on the social web using ontological similarity
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Ontology−Based Query Answering with Group Preferences
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Ontology−Based Query Answering with Group Preferences
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Preference−Based Query Answering in Probabilistic Datalog+⁄− Ontologies
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Query answering in ontologies under preference rankings
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Group Preferences for Query Answering in Datalog+⁄− Ontologies
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Udgivet: (2013)

Query Answering in Probabilistic Datalog+⁄− Ontologies under Group Preferences
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Query Answering in Datalog+⁄− Ontologies under Group Preferences and Probabilistic Uncertainty
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Computing k−Rank Answers with Ontological CP−Nets
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Udgivet: (2014)

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Udgivet: (2011)

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af: Fazzinga, B, et al.
Udgivet: (2011)

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Udgivet: (2011)

Semantic Web Search Based on Ontological Conjunctive Queries
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Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling
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