计算机技术与发展2016，Vol.26Issue(9)：69-72,4.DOI:10.3969/j.issn.1673-629X.2016.09.016
基于共同评分项和权重计算的推荐算法研究
Research on Recommendation Algorithm Based on Co-rating and Weight Calculation
摘要
Abstract
The recommended list is an important step of the user-based collaborative filtering recommendation algorithm and is also the fi-nal result. According to the phenomenon of less research on the“generation of recommendation list” in collaborative filtering recommen-dation algorithm based on user,in order to improve the performance of it,the recommended items are selected by weight calculation and the method of co-rating number. Firstly the co-rating items is sorted by the number of nearest neighbor. Then,the ranking items are cal-culated by comprehensive weight,and the results are sorted by high to low,and the recommended list is generated. The algorithm is tested by MovieLens data set. It uses the“Mean Absolute Error” as the evaluation index in the test. The results show that when the target user’ s similar user number is 60,the algorithm has a lower mean absolute error compare with those calculation algorithms which don’t consider the factors of common rating items or comprehensive weight,and the value is 0. 77. The algorithm can improve the accuracy of the rec-ommendation system to a certain extent.关键词
协同过滤算法/评分项/综合权重/准确度Key words
collaborative filtering algorithm/co-rating/comprehensive weight/accuracy分类
信息技术与安全科学引用本文复制引用
谢人强,陈震..基于共同评分项和权重计算的推荐算法研究[J].计算机技术与发展,2016,26(9):69-72,4.基金项目
2014年福建省教育科技计划项目(JB14129) （JB14129）
