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Abstract

Recommender system is a kind of web intelligence technique to make information filtering for people on daily basis. The core technology to implement this type of recommender system includes content analysis, collaborative filtering and some hybrid approach. Since they all have certain strengths and weaknesses, and combining them may be an inspiring solution. In this paper, a hybrid online movie recommender system has been proposed in which content and collaborative filtering techniques are combined for enhanced and improved recommendations to the user.

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Keywords

Recommender System, Collaborative Filtering