An improved content based collaborative filtering algorithm for movie recommendations

Recommender system comprises of two prime methods which help in providing meaningful recommendations namely, Collaborative Filtering algorithm and Content-Based Filtering. In this paper, we have used a hybrid methodology which takes advantage of both Content and Collaborative filtering algorithm into account. The algorithm discussed in this article is different from the previous work in this field as it includes a novel method to find the similar content between two items. The paper incorporates an analysis that justifies this new methodology and how it can provide practical recommendations. The above approach is tested on existing user and objects data and produced improved results when compared with other two favourite methods, Pure Collaborative Filtering, and Singular Value Decomposition.