计算机应用研究2018，Vol.35Issue(2)：354-357,385,5.DOI:10.3969/j.issn.1001-3695.2018.02.008
一种改进专家信任的协同过滤推荐算法
Improved expert trust collaborative filtering recommendation algorithm
摘要
Abstract
To solve the tradition collaborative filtering recommendation based on the user object with little consideration of trust real-time change,this paper proposed an expert's algorithm combined with social network trust to make good quantitative trust among objects.Firstly,the algorithm computed evaluation credibility,the active degree and the deviation degree to acquire the expert's trust value.Then,it integrated the scores and neighbor algorithm,and determined the preference of the users and the experts,the users and the neighbor.When the numbers of the selected experts were less than the threshold,it used coordination factor to adjust dynamically the weight between the neighbor algorithm and the expert's algorithm to get more objective score.Experimental results show that proposed algorithm achieves better result on the accuracy of recommendation.关键词
专家算法/专家信任/信任指标/预测精度Key words
expert algorithm/expert trust/trust indicator/prediction accuracy分类
信息技术与安全科学引用本文复制引用
王建芳,刘冉东,谷振鹏,刘永利..一种改进专家信任的协同过滤推荐算法[J].计算机应用研究,2018,35(2):354-357,385,5.基金项目
国家自然科学基金资助项目(61202286) （61202286）
河南省高等学校青年骨干教师资助计划项目(2015GGJS-068) （2015GGJS-068）
河南省高等学校重点科研项目(15A520074) （15A520074）
