计算机应用与软件Issue(6)：83-86,4.DOI:10.3969/j.issn.1000-386x.2015.06.020
一种综合 LBS 和社会网络标签的个性化推荐方法
A PERSONALISED RECOMMENDATION METHOD INTEGRATING LBS AND SOCIAL NETWORK TAG
摘要
Abstract
In light of the shortcomings of existing LBS-based personalised recommendation system in building user interests model,this pa-per proposes a personalised recommendation method which integrates the LBS and social network tag (LTCF).By introducing network tag and users social relations,the method finds from the tag resources marked by users the relationship between users having common interests and hobbies as well as finds from social networks the users having intimate relationship with targeted users.Meanwhile,combining the considera-tion of the feature that users'interests constantly change along with the space and in accordance with collaborative filtering algorithm,the method calculates the social relation degree of users and the similarity of user spaces,then according to these it obtains the nearest neighbour sets of target users,and provides the recommendation results based on the nearest neighbour sets.Experimental results show that compared with traditional LBS-based recommendation method,the LTCF model has noticeable improvement in recall rate and precision product rate and can better reflect users'preferences as well as significantly improve the recommendation accuracy.关键词
LBS/社会网络/标签/个性化推荐Key words
Location-based service (LBS)/Social network/Tag/Personalised recommendation分类
信息技术与安全科学引用本文复制引用
陈平华,何婕,梁琼..一种综合 LBS 和社会网络标签的个性化推荐方法[J].计算机应用与软件,2015,(6):83-86,4.基金项目
广东省教育部产学研结合项目（2012B091000058）；广东省专业镇中小微企业服务平台项目（2012B040500034）。 （）
