A Navigation-log based Web Mining Application to Profile the Interests of Users Accessing the Web of Bidasoa Turismo
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چکیده
Websites are important tools for tourism destinations. The information acquired from the use of tourism websites can be very useful for the travel agents. It will provide insight about the users’ preferences, requirements and habits that are very useful for marketing campaigns or website redesign. Using machine learning techniques to build user profiles allows taking into account their real preferences. This paper presents a navigation-log based web application to profile users accessing the web of Bidasoa Turismo. The profiles are built based on the combination of web usage information stored in web log files and web content information to obtain more comprehensible profiles. The experiments show that we are able to find specific user profiles.
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تاریخ انتشار 2013