A query expansion and user profile enrichment approach to improve the performance of recommender systems operating on a folksonomy |
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Authors: | Pasquale De Meo Giovanni Quattrone Domenico Ursino |
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Affiliation: | 1.DIMET, Università Mediterranea di Reggio, Calabria,Reggio, Calabria,Italy |
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Abstract: | In this paper we propose a query expansion and user profile enrichment approach to improve the performance of recommender
systems operating on a folksonomy, storing and classifying the tags used to label a set of available resources. Our approach
builds and maintains a profile for each user. When he submits a query (consisting of a set of tags) on this folksonomy to
retrieve a set of resources of his interest, it automatically finds further “authoritative” tags to enrich his query and proposes
them to him. All “authoritative” tags considered interesting by the user are exploited to refine his query and, along with
those tags directly specified by him, are stored in his profile in such a way to enrich it. The expansion of user queries
and the enrichment of user profiles allow any content-based recommender system operating on the folksonomy to retrieve and
suggest a high number of resources matching with user needs and desires. Moreover, enriched user profiles can guide any collaborative
filtering recommender system to proactively discover and suggest to a user many resources relevant to him, even if he has
not explicitly searched for them. |
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