面向领域本体和用户偏好的协同过滤算法  

Collaborative Filtering Algorithm Based on Domain Ontology and User Preferences

作　　者：邹金萍[1] 高俊[1] 

机构地区：[1]江西生物科技职业学院,江西南昌330200

出　　处：《现代工业经济和信息化》2015年第9期85-87,共3页Modern Industrial Economy and Informationization

摘　　要：文章提出一种面向用户偏好变化和领域本体的协同过滤推荐算法。探索领域本体中项目属性之间的关系并计算它们的语义相似度,利用K最近邻算法思想依据用户对项目评分结果,对用户未评分项目进行评价预测,同时补充完整用户评分矩阵,并以此为基础进行推荐。This paper presents a user oriented preference change and domain ontology collaborative filtering algorithm. Explore the relationship between project properties in domain ontology and calculate their semantic similarity, by using the k nearest neighbor algorithm based on user of item ratings results, the user item did not score is predicted and evaluated, adding complete user ratings matrix, and use it as the basis for recommendation.

关 键 词：领域本体 协同过滤 用户偏好 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]