现代电子技术2016，Vol.39Issue(15)：127-129,3.DOI:10.16652/j.issn.1004-373x.2016.15.032
基于多维度特征权值动态更新的用户推荐模型研究
Research on user recommendation model based on multi-dimensional feature weight dynamic update
吴承毅1
作者信息
- 1. 西南科技大学，四川 绵阳 621010; 商洛职业技术学院，陕西 商洛 726000
- 折叠
摘要
Abstract
In order to improve the accuracy of the movie personalized recommendation,the movie is charactered with the feature dimensions of director,performer,showtime,type and area. The weights of feature dimensions are calculated with CHI method,and then normalized to reflect the similarity among movies by means of the similarity among the feature dimensions. The user recommendation model can correct the feature weigh of each dimension with the continuous iteration update to improve the accuracy of model recommendation. The experimental results show that the improved algorithm can obtain high accuracy rate and recall rate with MovieLens dataset,capture the user′s interest exactly,and solve the user interest drifting to a certain extent.关键词
多维度/电影推荐/权值动态更新/个性化推荐模型Key words
multi-dimension/movie recommendation/weight dynamic update/personalized recommendation model分类
信息技术与安全科学引用本文复制引用
吴承毅..基于多维度特征权值动态更新的用户推荐模型研究[J].现代电子技术,2016,39(15):127-129,3.
