基于用户画像的电影推荐系统的设计与实现  

Design and Implementation of Movie Recommendation System Based on User Profile

作　　者：黄奕宸 HUANG Yichen(NUIST Reading Academy,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China)

机构地区：[1]南京信息工程大学雷丁学院,江苏南京210044

出　　处：《铜仁学院学报》2023年第6期75-83,108,共10页Journal of Tongren University

摘　　要：针对传统推荐算法在电影推荐系统中无法满足用户对电影查找效率的要求,提出一种基于用户画像的电影推荐算法。首先,对基于内容、协作过滤、组合和用户特征的推荐方法进行研究,针对用户兴趣、群体和个性化特征,将不同的电影推荐算法进行融合并提出了一种基于用户画像的电影推荐算法;其次,将基于用户画像的推荐算法应用于影片推荐,设计并实现了基于用户画像的电影推荐系统,完成了影片推荐和后台管理等主要功能模块的开发。应用结果表明,该系统可使用户方便快捷地获取自己感兴趣的电影信息,提升了数据查找的效率。Aiming at the traditional recommendation algorithm in the film recommendation system cannot meet the user's requirements for the efficiency of film finding,this paper proposes a film recommendation algorithm based on user profile.Firstly,the recommendation methods based on content,collaborative filtering,combination and user characteristics are studied,and different movie recommendation algorithms are fused and a movie recommendation algorithm based on user profile is proposed according to user interests,groups and personalized characteristics;Secondly,the user-image-based recommendation algorithm is applied to film recommendation,the user-image-based film recommendation system is designed and implemented,and the development of film recommendation and background management modules is completed.The application results show that the system can enable users to obtain the film information they are interested in easily and quickly,thereby improving the efficiency of data search.

关 键 词：电影推荐 用户画像 层次聚类 协同过滤 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] J90-05[自动化与计算机技术—计算机科学与技术]