计算机应用与软件Issue(10)：155-158,4.DOI:10.3969/j.issn.1000-386x.2013.10.043
基于本体用户兴趣模型的个性化推荐系统
PERSONALISED RECOMMENDATION SYSTEM BASED ON ONTOLOGY USER INTEREST MODEL
摘要
Abstract
Aiming at the deficiency in construction and updating the user interest model of personalised recommendation system has,which cannot accurately perceive semantic information in specific background of user and the variation of user interests over time,based on user interest ontology we propose a new user interest model,and describe the updating algorithm of this user interest model by spreading activation theory.Meanwhile we improve the recommendation algorithm and adopt collaborative filtering technology to carry out personalised recommendation.Experimental results show that the model can effectively reflect user interest;the new recommendation algorithm has very high performance in MEA,diversity,cold-start processing and stability.关键词
领域本体/个性化/用户兴趣模型/协同推荐Key words
Domain ontology/Personalised/User interest model/Collaborative recommendation分类
信息技术与安全科学引用本文复制引用
刁祖龙,张兴忠..基于本体用户兴趣模型的个性化推荐系统[J].计算机应用与软件,2013,(10):155-158,4.基金项目
山西省高等学校回国留学人员科研资助项目(2001-9). （2001-9）
