• Corpus ID: 15920594

Personalization in Digital Libraries: An Intelligent Service based on Semantic User Profiles

@inproceedings{Semeraro2007PersonalizationID,
  title={Personalization in Digital Libraries: An Intelligent Service based on Semantic User Profiles},
  author={Giovanni Semeraro and Pasquale Lops and Marco Degemmis and Pierpaolo Basile and Anna Lisa Gentile},
  booktitle={IRCDL},
  year={2007}
}
Suppose you registered to a large scientific congress and. [] Key Method Content-based recommenders analyze documents previously rated by a target user, and build a profile exploited to recommend new interesting documents. One of the main limitations of traditional keyword-based approaches is that they are unable to capture the semantics of the user interests, due to the natural language ambiguity.

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