计算机工程与科学2017，Vol.39Issue(11)：2102-2108,7.DOI:10.3969/j.issn.1007-130X.2017.11.019
基于云模型熟悉相似度的协同过滤推荐算法
A collaborative filtering recommendation algorithm based on familiarity similarity of cloud model
摘要
Abstract
In order to overcome the shortcomings of similarity measurement in recommendation algorithms,we propose a new collaborative filtering recommendation algorithm for calculating the integrated similarity of cloud model based on shape similarity and distance similarity.Taking account of the interest of users,we introduce the concept of familiarity similarity of cloud model,based on which the neighbors are identified,thus obtaining the recommendation results.Experimental results show that the proposed method can improve recommendation accuracy.关键词
推荐算法/协同过滤/云模型相似度/熟悉度Key words
recommendation algorithm/collaborative filtering/cloud model similarity/familiarity degree分类
信息技术与安全科学引用本文复制引用
汪军,朱建军,覃朗..基于云模型熟悉相似度的协同过滤推荐算法[J].计算机工程与科学,2017,39(11):2102-2108,7.基金项目
国家自然科学基金(71171112,71401064,71502073) （71171112,71401064,71502073）
教育部人文社科基金(14YJC630120) （14YJC630120）
南京航空航天大学研究生开放基金(kfjj20150903) （kfjj20150903）
