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Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity
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Author(s): Alexander Alfimtsev (Bauman Moscow State Technical University, Russia), Sergey Sakulin (Bauman Moscow State Technical University, Russia)and Vladimir Devyatkov (Bauman Moscow State Technical University, Russia)
Copyright: 2012
Volume: 4
Issue: 1
Pages: 9
Source title:
International Journal of Web Portals (IJWP)
Editor(s)-in-Chief: Xianrong (Shawn) Zheng (Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, USA)
DOI: 10.4018/jwp.2012010103
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Abstract
This article addresses Web personalization based on the analysis of individual user activity. However, human behavior is characterized by uncertainties that should be considered in the personalization algorithms. Fuzzy logic allows taking into account different types of uncertainty. Therefore, the paper presents a method for Web personalization based on fuzzy aggregation and recognition of user activity. The advantages of this approach are (1) the ability to use two types of fuzzy integrals without using the necessary expert set of fuzzy measures and (2) covering all stages of the personalization from aggregation of a single user’s query parameters to aggregation of an individual user’s profiles in a single parameter of group of users.
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