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Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity

Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity

Alexander Alfimtsev, Sergey Sakulin, Vladimir Devyatkov
Copyright: © 2012 |Volume: 4 |Issue: 1 |Pages: 9
ISSN: 1938-0194|EISSN: 1938-0208|EISBN13: 9781466614697|DOI: 10.4018/jwp.2012010103
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MLA

Alfimtsev, Alexander, et al. "Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity." IJWP vol.4, no.1 2012: pp.33-41. http://doi.org/10.4018/jwp.2012010103

APA

Alfimtsev, A., Sakulin, S., & Devyatkov, V. (2012). Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity. International Journal of Web Portals (IJWP), 4(1), 33-41. http://doi.org/10.4018/jwp.2012010103

Chicago

Alfimtsev, Alexander, Sergey Sakulin, and Vladimir Devyatkov. "Web Personalization Based on Fuzzy Aggregation and Recognition of User Activity," International Journal of Web Portals (IJWP) 4, no.1: 33-41. http://doi.org/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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