An Item-based Weighted Collaborative Recommended Algorithm Based on Screening Users Preferences

摘要：

Facing the quality of the collaborative recommendation algorithm system, an item-based collaborative filtering recommendation algorithm based on screening users preferences was put forward. First, users have a unified interest measure for the project, and have a selection for the project based on the fuzzy membership of interests to build to project preference vector which reflects the user characteristics, using the cosine distance between vectors, the users were classified based on the weighted Item-based collaborative filtering. Experiments show that the algorithm is better than the traditional collaborative filtering algorithms in improving the recommendation dependability and accuracy.

关键词： collaborative filtering similarity personalized recommendations screening

作者: Wu Jian-wei Yu Jiu-hua Yu Xiao-hong

作者单位: Modern Education Technology Center Luoyang Institute of Science and Technology Luoyang, China 471023 Student Affairs Department Luoyang Institute of Science and Technology Luoyang, China 471023 Department of Mathematics and Physics Luoyang Institute of Science and Technology Luoyang, China 471

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 161-164

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）