Online Book Recommendation using Collaborative Filtering
Abstract:-
Recommendation system is the type of information filtering which involves prediction of rating and user preferences, which would help user to buy items according to their needs and interest. They direct users towards those items which can meet their needs through cutting down large database of Information. Various techniques have been introduced for recommending items i.e. content, collaborative and association mining techniques are used. Recommendation system uses following technologies to recommend products: Content filtering, Collaborative filtering & Association mining. Content filtering recommends item which is based on users profile, which he has liked in past. Collaborative based filtering is a method to analyze the userβs behavior by predicting the userβs taste that is similar to other user. This paper solves the problem of data scarcity by combining the collaborative-based filtering and association rule mining to achieve better performance.
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