Personalized Recommendation System Based on WSN

Authors

  • Zhijun Zhang School of Computer Science and Technology, Shandong Jianzhu University
  • Gongwen Xu School of Computer Science and Technology, Shandong Jianzhu University
  • Pengfei Zhang School of Computer Science and Technology, Shandong Jianzhu University
  • Yongkang Wang School of Computer Science and Technology, Shandong Jianzhu University

DOI:

https://doi.org/10.3991/ijoe.v12i10.6207

Keywords:

Location based Social Network, Ontology, Personalized Recommendation, Wireless Sensor Network

Abstract


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.

Author Biographies

Zhijun Zhang, School of Computer Science and Technology, Shandong Jianzhu University

Zhijun Zhang was born in Shandong, China, in 1973. He received his Ph.D. degree in School of Information Science and Engineering, Shandong Normal University. He is currently an associate professor of School of Computer Science and Technology, Shandong Jianzhu University. His recent research interests include personalized recommendation, E-commerce and machine learning.

Gongwen Xu, School of Computer Science and Technology, Shandong Jianzhu University

Gongwen Xu was born in Shandong, China, in 1974. He works in School of Computer Science and Technology Shandong Jianzhu University, and received the Master's degree in 2005 from Shandong University. Now he is pursuing the Ph. D. degree in Shandong Normal University. His interesting filed is spam detection, image processing.

Pengfei Zhang, School of Computer Science and Technology, Shandong Jianzhu University

Pengfei Zhang was born in Shandong, China, in 1990. He received the B.S. degree in communication engineering from Jinan University in 2014. Currently, he is a M.S. candidate in School of Computer Science and Technology, Shandong Jianzhu University. His recent research interests include personalized recommendation and E-commerce.

Yongkang Wang, School of Computer Science and Technology, Shandong Jianzhu University

Yongkang Wang was born in Shandong, China, in 1994. He received the B.S. degree in informationmanagement from Shandong Jiaotong University in 2016. Currently, he is a M.S. candidate in School of Computer Science and Technology, Shandong Jianzhu University. His recent research interests include personalized recommendation and E-commerce.

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Published

2016-10-31

How to Cite

Zhang, Z., Xu, G., Zhang, P., & Wang, Y. (2016). Personalized Recommendation System Based on WSN. International Journal of Online and Biomedical Engineering (iJOE), 12(10), pp. 91–96. https://doi.org/10.3991/ijoe.v12i10.6207

Issue

Section

Short Papers