The Precise Oriented Advertising Driven Research of Recommendation System in Mobile Environment

摘要：

　　Mobile communication devices have been widely used by people.There is great market potential in making entity project recommendations for mobile clients.However, the users locations and the surroundings change constantly due to mobility of mobile phones.The traditional collaborative filtering algorithm cant cope with these changes well.In order to solve this problem,this paper proposes a user clustering method based on the users social network information.The interaction information is adopted in user similarity to get friends circle with similar interests.The recommendation based on friends circle enhances the quality of recommendation.

关键词： Collaborative filtering Social network Mobility Location

作者: Rao Hong Chen Huijia Cai Jiazhi Chen Ying

作者单位: Computer Center, Nanchang University, Nanchang, 330031

会议类型: 国际会议

会议名称: International Conference on Computational Science and Engineering Applications(CSEA2015)2015计算机科学与工程应用国际会议

会议地点: 三亚

会议语种:英文

页码: 104-109

在线出版日期: 2015-12-26（万方平台首次上网日期，不代表论文的发表时间）