Research on Modeling User’s Preference in the Steel E-Trading Platform

Abstract:

In order to meet the increasing personalized needs of users in the steel trading platform, the intelligent recommendation system has been introduced into the platform. And the users’ interests and preferences-based modeling is the key and foundation of recommendation system, and changes with the change of time. So, in this paper, the user preferences are divided into long-term and short-term firstly, then the users’ basic information vectors and cluster method are used to model users’ long-term interests and preferences, while mining and analyzing users’ operating records in the platform to model users’ the short-term. Finally, the whole interest and preference’s model of user will be built by integrating the two models.

• Periodical: Applied Mechanics and Materials (Volume 743)
• Pages: 687-691
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.743.687
• Online since: March 2015
• Authors: Ping Wu*, Tao Yu, J.B. Du, G.Q. Qu, Feng Xiong
• Keywords: Intelligent Recommendation System, Long-Term Interest, Short-Term Interest, Users’ Behavior

References

[1] Yusheng Sun, Wei Liu, and Rongrong Qiu, etc, Research Development of User Interest Modeling in China, J. Journal of Intelligence, 32 (2013) 145-150.

[2] Guanyou Fu and Zhengyu Zhu, A User Interest Model Based on the Analysis of User Behaviors for Personalization, J. Computer Engineering & Science, 27 (2005) 76-78.

[3] Meng Wang, Research of Library Users and Service in the Information Ages, Shang Dong: Shandong University, (2009).

[4] Chun Zeng, Chunxiao Xing and Lizhu Zhou, A Survey of Personalization Technology, J. Journal of Software, 13 (2002) 1952-(1961).

[5] M Claypool, P Le, M Waseda, et al. Implicit Interest Indicators [A]. Proc of the ACM Intelligent User Interfaces Conf( IUI) [C]. 2001, 33-401.

[6] Yuehuo Zhang, A personalized search algorithm by using user's preferences model, Chong Qing: Chong Qing University, (2010).

[7] Peihua Ren and Lizhen Wang, Improved K-means Clustering Algorithm Based on DKC in Uncertain Region Environment, J. Computer Science, 40 (2013) 181-184.

[8] Wang John. Encyclepedia of data warehousing and ming, M. Calgary: Idea Group Inc, (2006).

[9] Srivastava J, Cooley R, Deshpande M. Web usage mining: discovery and applications of usage pattern from web data, C. SIGKDD Explorations, (2000) 12-23.

DOI: 10.1145/846183.846188

[10] Zi Wang, User Interest Model and Personalized Search for Forest Products Trading Information, Bei Jing: Bei Jing Forestry University, (2013).

[11] Hongwei Wang, and Li Zou, Modeling Users' preference Based on long- and short-term Interests, J. Journal of Tong Ji University (Natural Science), 41 (2013) 953-960.