TY - JOUR AU - Zhang, Zhijun AU - Xu, Gongwen AU - Zhang, Pengfei AU - Wang, Yongkang PY - 2016/10/31 Y2 - 2024/03/29 TI - Personalized Recommendation System Based on WSN JF - International Journal of Online and Biomedical Engineering (iJOE) JA - Int. J. Onl. Eng. VL - 12 IS - 10 SE - Short Papers DO - 10.3991/ijoe.v12i10.6207 UR - https://online-journals.org/index.php/i-joe/article/view/6207 SP - pp. 91-96 AB - <p style="margin: 0in 0in 10pt;"><span style="font-size: small;"><span style="font-family: Times New Roman;"><span style="-ms-layout-grid-mode: line;">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</span>.</span></span></p> ER -