Web Recommendation System Based on Users Searching History
Gaurav Paliwal
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Web Recommendation System Based on Users Searching History

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Presently, most of the available recommendation system uses collaborative filtering approach. These type of recommender systems assumes that if two users have shown similar interest on the same set of contents, they may show a similar interest pattern in choosing future contents. However, it may happen that the users who have certain tastes on one specific category of contents may behave differently in choosing contents from other categories. Also, the collaborative filtering approaches do not work efficiently with sparse data sets, where there are a small number of contents or a limited numbe...