数字图书馆论坛Issue(1)：51-56,6.DOI:10.3772/j.issn.1673-2286.2017.1.008
基于群体兴趣的个性化推荐候选集构建
Construction of Candidate Item Sets in Personalized Recommendation Based on Group Interest
石宇 1查梦娟 1梁宇 2邱惠2
作者信息
- 1. 武汉大学信息管理学院,武汉430072
- 2. 国网鄂州供电公司电力调度控制中心,鄂州436000
- 折叠
摘要
Abstract
The purpose of this paper is to optimize the construction method of candidate item sets.We improve the effect of personalized recommendation by reducing the number of candidate item sets without sacrificing the coverage of items that users interested.The construction of candidate item sets in the personalized recommendation is based on the method of fusing group interest and the personalized features.First of all,this paper consmucts the initial candidate item sets based on the group interest,then filter the candidate item sets based on user's personalized features.This paper verifies the effectiveness of the method by taking movie data as an example.The results show that the number of candidate item sets reduce to 3.4％ of the original when the coverage of items decrease slightly.Moreover,this method can improve the effect of personalized recommendation significantly.Thus,it can be concluded that it is an ideal tactic to construct the candidate item sets.关键词
个性化推荐/群体兴趣/候选集Key words
Personalized Recommendation/Group Interest/Candidate Item Sets分类
社会科学引用本文复制引用
石宇,查梦娟,梁宇,邱惠..基于群体兴趣的个性化推荐候选集构建[J].数字图书馆论坛,2017,(1):51-56,6.
