Capturing the characteristics and preferences of Web users into user profiles is a fundamental task to perform in order to implement forms of personalization on a Web site. In this paper, we present a relational fuzzy clustering approach to extract significant user profiles from session data derived from log files. In particular, a modified version of the CARD clustering algorithm is proposed in order to produce well distinct clusters corresponding to profiles reflecting the actual user preferences embedded in the available session data. Experimental results on session data extracted from log files of a sample Web site are reported
Data mining is extremely vital to get important information from the web. Additionally, web usage mi...
Web personalization aims to provide content and services tailor-made to the needs of individual user...
Data mining is extremely vital to get important information from the web. Additionally, web usage mi...
Capturing the characteristics and preferences of Web users into user profiles is a fundamental task ...
Abstract:- Capturing the characteristics and preferences of Web users into user profiles is a fundam...
User profiling is a fundamental task in Web personalization. In this paper, we use a relational fuzz...
Web personalization is the process of customizing a Web site to the preferences of users, according ...
Today, Web personalization offers valid tools for the development of applications that have the attr...
In this work, we present an approach to clustering Web site users into different groups and generati...
The proliferation of information on the world wide web has made the personalization of this informat...
The proliferation of information on the World Wide Web has made the personalization of this informat...
In the context of web personalization and dynamic con-tent recommendation, it is crucial to learn ty...
Categorization of users is a fundamental task inWeb personalization. Fuzzy clustering is a valid app...
User profiling is a fundamental task in Web personalization. Fuzzy clustering is a valid approach to...
The rapid development of the World Wide Web as a medium of commerce and information dissemination ha...
Data mining is extremely vital to get important information from the web. Additionally, web usage mi...
Web personalization aims to provide content and services tailor-made to the needs of individual user...
Data mining is extremely vital to get important information from the web. Additionally, web usage mi...
Capturing the characteristics and preferences of Web users into user profiles is a fundamental task ...
Abstract:- Capturing the characteristics and preferences of Web users into user profiles is a fundam...
User profiling is a fundamental task in Web personalization. In this paper, we use a relational fuzz...
Web personalization is the process of customizing a Web site to the preferences of users, according ...
Today, Web personalization offers valid tools for the development of applications that have the attr...
In this work, we present an approach to clustering Web site users into different groups and generati...
The proliferation of information on the world wide web has made the personalization of this informat...
The proliferation of information on the World Wide Web has made the personalization of this informat...
In the context of web personalization and dynamic con-tent recommendation, it is crucial to learn ty...
Categorization of users is a fundamental task inWeb personalization. Fuzzy clustering is a valid app...
User profiling is a fundamental task in Web personalization. Fuzzy clustering is a valid approach to...
The rapid development of the World Wide Web as a medium of commerce and information dissemination ha...
Data mining is extremely vital to get important information from the web. Additionally, web usage mi...
Web personalization aims to provide content and services tailor-made to the needs of individual user...
Data mining is extremely vital to get important information from the web. Additionally, web usage mi...