Weighted interest degree collaborative recommendation algorithm based on association rules

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