计算机应用研究2017，Vol.34Issue(8)：2282-2286,5.DOI:10.3969/j.issn.1001-3695.2017.08.009
基于满意区间的协同过滤推荐算法
Satisfactory intervals similarity-based collaborativefiltering recommendation algorithm
摘要
Abstract
Among traditional collaborative filtering recommendation algorithms, the difference of evaluating criteria of users caused that the user''s ratings couldn''t reflect the user''s preference reasonably.In order to solve this problem, this paper proposed the concept of satisfactory intervals(SI), and designed a collaborative filtering algorithm.Firstly, the algorithm established the relationship between users'' ratings and SI.Then it calculated the similarity between users through expected value and standard deviation of SI.Finally, this algorithm rated the item by its satisfaction which was calculated before.The algorithm solved the problem of evaluating criteria by partitioning SI, which could be more reasonable for users to express their preference.Experimental results show that this algorithm can solve the problem effectively and achieve better accuracy of re-commendation obviously.关键词
推荐系统/协同过滤/个性化/评分尺度/满意度/相似度Key words
recommendation system/collaborative filtering/personalization/rating scale/satisfaction/similarity分类
信息技术与安全科学引用本文复制引用
潘涛涛,朱珂,吴毅涛..基于满意区间的协同过滤推荐算法[J].计算机应用研究,2017,34(8):2282-2286,5.基金项目
国家"863"计划资助项目(2014AA01A704) （2014AA01A704）
国家自然科学基金资助项目(61572520) （61572520）
