Interest-based Recommendation in Digital Library

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Interest-based Recommendation in Digital Library

With the huge amount and large variety of information available in a digital library, it’s becoming harder and harder for users to identify and get hold of their interested documents. To alleviate the difficulty, personalized recommendation techniques have been developed. Current recommendation techniques rely on similarity between documents. In our work, recommendations are made based on three...

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The movement from the physical to the digital library offers both dangers and opportunities. Alongside the greater quantity of online material goes the problem of quality assurance: how can be the information searcher be sure of the status of a document. We suggest that this be addressed by supporting recommendations and that the key feature that links these recommendations together is that of ...

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CYCLADES is a system, which combines several technologies from the Information Retrieval and Digital Library area, where users and user communities may deal with a quite large set of heterogeneous digital archives. CYCLADES provides a highly personalized environment where not only users may organize (and search into) the information space according to their individual taste and use, but, and mo...

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Personalized Recommendation for Digital Library using Gaussian Mixture Model

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ژورنال

عنوان ژورنال: Journal of Computer Science

سال: 2005

ISSN: 1549-3636

DOI: 10.3844/jcssp.2005.40.46