Research on Application of Collaborative Filtering Algorithm in Digital Movie Recommendation

Abstract

Information overload will undoubtedly increase the time for users to search for information on the Internet. Data mining technology based on big data is constantly improving this situation. It extracts hidden, previously unknown information from massive data information to find out the internal connection between users, between the user and the item, and between items, so as to recommend information according to the user’s preferences and needs, and even provide the user with a customized page. So how does it implement personalized recommendations? This article takes online digital movie recommendation as an example, and explains the principle and process of collaborative filtering recommendation algorithm to achieve personalized recommendation through the combination of theoretical analysis and experiment.

Design and Research of Blended Teaching Mode Based on Artificial Intelligence

“…Many students come from the face-to-face classroom teaching in high school, but are not used to the online intelligent teaching and cannot make good use of the intelligent teaching platform for learning. If the intelligent teaching can be carried out smoothly, it is crucial for the intelligent learning training of students [10].…”

Application of Recommendation Algorithms in Product Art Design: Challenges and Applications

“…Through case analysis, this paper also shows the practical application and effect of recommendation algorithm in product art design. Finally, the future application of recommendation algorithm in product art design is prospected, and the direction and focus of future research are pointed out, such as further optimization of recommendation algorithm, development of new algorithm suitable for product art design, etc [10].…”