Personalized Recommendation System Based on WSN

International Journal of Online Engineering

Pengfei Zhang¹  Yongkang Wang¹  Zhijun Zhang¹  Gongwen Xu¹ 

[1] School of Computer Science and Technology, Shandong Jianzhu UniversitySchool of Computer Science and Technology, Shandong Jianzhu UniversitySchool of Computer Science and Technology, Shandong Jianzhu University

关键词: Location based Social Network;    Ontology;    Personalized Recommendation;    Wireless Sensor Network;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

Aiming at the limitation of the traditional user modeling technology in the personalized recommendation system, a new user modeling method based on wireless sensor network and ontology technology is introduced in this paper. In order to retrieve the tourist attractions conforming to the users' needs from a large amount of the tourist information, a personalized recommendation model based on the ontology technology and travel information is designed in this paper. Absorbing the context awareness research achievement, combining with the mobile Internet context sensitive features, the personalized recommendation algorithm based on ontology is discussed. The application research of the ontology technology applying in collaborative filtering recommendation system is analyzed deeply, and then the personalized and visual information push service delivery for users is realized. The experimental results show that the proposed WsnTRS recommendation system has a higher prediction accuracy comparing with the existing similar algorithms.

【 授权许可】

Unknown