A fuzzy method for improving the functionality of search engines based on user  & quot; s web interactions

Kabirbeyk, F.; Harounabadi, A.; Sabzekar, M.

Growing Science » Management Science Letters » A fuzzy method for improving the functionality of search engines based on user & quot; s web interactions

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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print) Quarterly Publication Volume 5 Issue 4 pp. 377-386 , 2015

A fuzzy method for improving the functionality of search engines based on user & quot; s web interactions Pages 377-386 Download PDF

Authors: Farzaneh Kabirbeyk, Ali Harounabadi, Mostafa Sabzekar

DOI: 10.5267/j.msl.2015.2.008

Keywords: Fuzzy clustering, Recommender System, Web Personalization, Web Usage Mining

Abstract: Web mining has been widely used to discover knowledge from various sources in the web. One of the important tools in web mining is mining of web user’s behavior that is considered as a way to discover the potential knowledge of web user’s interaction. Nowadays, Website personalization is regarded as a popular phenomenon among web users and it plays an important role in facilitating user access and provides information of users’ requirements based on their own interests. Extracting important features about web user behavior plays a significant role in web usage mining. Such features are page visit frequency in each session, visit duration, and dates of visiting a certain pages. This paper presents a method to predict user’s interest and to propose a list of pages based on their interests by identifying user’s behavior based on fuzzy techniques called fuzzy clustering method. Due to the user’s different interests and use of one or more interest at a time, user’s interest may belong to several clusters and fuzzy clustering provide a possible overlap. Using the resulted cluster helps extract fuzzy rules. This helps detecting user’s movement pattern and using neural network a list of suggested pages to the users is provided.

How to cite this paper

 Kabirbeyk, F., Harounabadi, A & Sabzekar, M. (2015). A fuzzy method for improving the functionality of search engines based on user  & quot; s web interactions.Management Science Letters , 5(4), 377-386.

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