Weighted interest degree collaborative recommendation algorithm based on association rules

Abstract

With the development of the internet and mobile technology, the era of information overload has
come, thereby leading to considerable interests in the recommendation system as an important mean
to address such an overload problem. Especially, collaborative filtering recommendation algorithm
is the most widely used and successful approach for the recommendation system. This paper first
introduces the related concepts and principles of collaborative filtering, and then proposes a weighted
interest model based on association rules to improve the accuracy of the proposed algorithm.