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Recommendation Process in SR1 Web Document Recommender System

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Author(s): Dan MUNTEANU

Journal: Annals of Dunarea de Jos
ISSN 1221-454X

Volume: 31;
Issue: 2;
Start page: 22;
Date: 2008;
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Keywords: web document recommender system | content filtering | collaborative filtering | vector space model

ABSTRACT
This paper presents a recommender system for web documents (given as bookmarks). The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. The algorithm for recommendation is using not only the correlation between users but also the similarity between classes. Some experimental results that support this approach are also presented.
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