吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于评论的影片个性化推荐方法

董学阳1, 郜山权2, 刘磊2, 刘华虓3   

  1. 1. 吉林大学 公共计算机教学与研究中心, 长春 130012; 2. 吉林大学 软件学院, 长春 130012;3. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2017-06-13 出版日期:2018-07-26 发布日期:2018-07-31
  • 通讯作者: 董学阳 E-mail:dxy1986121@jlu.edu.cn

Personalized Recommendation Method of Film Based on Reviews

DONG Xueyang1, GAO Shanquan2, LIU Lei2, LIU Huaxiao3   

  1. 1. Public Computer Education and Research Center, Jilin University, Changchun 130012, China;2. College of Software, Jilin University, Changchun 130012, China;3. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2017-06-13 Online:2018-07-26 Published:2018-07-31
  • Contact: DONG Xueyang E-mail:dxy1986121@jlu.edu.cn

摘要: 针对影片数量较大, 观众选择喜欢的影片较难的问题, 提出一种基于评论的影片个性化推荐方法. 该方法先把电影标签作为主题对观众评论进行分类, 再根据主题评估函数计算主题的满意度, 然后根据观众喜好为主题设定权重, 获得关于影片的个性化评价, 最后根据评估结果, 为观众提供一个可供选择的影片序列. 实验结果表明, 该基于评论的影片分析方法有效.

关键词: 个性化, 电影评论, 推荐方法, 评论分析

Abstract: Aiming at the problem that there were a large number of films, and it was difficult for audiences to choose their favorite films, we proposed a personalized recommendation method of film based on reviews. Firstly, the method classified the audiences’ reviews by using the film labels as the topics of film. Secondly, we calculated the satisfaction degree of topics according to the evolution function of the topic. Thirdly, we set the weights of topics according to audiences’ preference and obtained the personalized evaluation of the film. Finally, according to the evaluation results, audiences were provided with an alternative sequence of films. The experimental results show that the analysis method of film based on reviews is effective.

Key words: personalize, analysis of review, recommendation method, film review

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