A Weighted Method to Update Network User Preference Profile Dynamically

Zhi-Yuan Zhang, Yun Liu and Qing-An Zeng
Additional contact information
Zhi-Yuan Zhang: School of Communication and Information Engineering, Beijing Jiaotong University, Beijing, China
Yun Liu: School of Communication and Information Engineering, Beijing Jiaotong University, Beijing, China
Qing-An Zeng: Department of Computer Systems Technology, North Carolina A&T State University, Greensboro, NC, USA

International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 2014, vol. 6, issue 2, 52-67

Abstract: There are many alternatives in a Recommender System (RS) that can be represented by numerical attributes. One of the most challenging tasks in developing RS is the design of techniques that can infer user preferences through observation of their actions. A RS usually stores a personal preference profile associated with each user, but the initial profile of a user is usually incomplete and imprecise. Therefore, it is necessary to update a user's preference profile dynamically. Some previous research has covered this area, but neglected an important fact in real situations, where different weights should be considered for every attribute when selecting alternatives and updating a user preference profile. This paper provides a realistic and weighted method to update network user preferences through analysis of user selections. More specifically, an algorithm to compute and update weights of different attributes in a dynamic way is presented. The weights are used in the adaptation process of network user preference profile. The method is tested by extensive simulations and the obtained results show that it is more effective than previous methods.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijitn.2014040103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jitn00:v:6:y:2014:i:2:p:52-67

Access Statistics for this article

International Journal of Interdisciplinary Telecommunications and Networking (IJITN) is currently edited by Efosa Carroll Idemudia

More articles in International Journal of Interdisciplinary Telecommunications and Networking (IJITN) from IGI Global
Bibliographic data for series maintained by Journal Editor ().