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Recommendation Process in SR1 Web Document Recommender SystemKeywords: 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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