一种电影个性化推荐系统的研究与实现

在协作过滤算法研究的基础上，考虑到相似项目之间评分的相似性，将此因素加入过滤算法得到改进的协助过滤算法，提高了算法的准确度。综合内容和协作过滤的优缺点，提出一种具有自适应调节的混合过滤算法，提高了过滤性能和准确度。根据改进的算法，针对电影领域进行实验，证明了其可行性。

Research and Realization of the Movie Personalized Recommendation System

In the collaborative filtering algorithm based on similar projects taking into account the similarity between the scores, this factor is improved by adding filtering algorithm filtering algorithms help to improve the accuracy of the algorithm. Integrate the strengths and weaknesses of content filtering and collaborative filtering, propose an adaptive hybrid filte- ring algorithm, improving filter performance and accuracy. According to above improved algorithm, design and implement a personalized movie recommendation system for the film industry, experiment and prove the algorithm＇s feasibility.