IJMTES – NAVIGATION RECOMMENDATION SYSTEM FOR ANONYMOUS USERS USING DOMAIN ONTOLOGY

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Rajha M | A Anitha  unnamed

Volume 03 Issue 07 2016

ISSN no:  2348-3121

Page no: 54-58

Abstract – This paper is aimed to provide Personalized Web Page Recommendation for anonymous web users using Domain Ontology and Conceptual Prediction. Web usage mining is the process of extracting knowledge from web user’s access by using data mining technologies. This recommender system is to improve Web site usability. Web usage mining prediction process is structured according to web server activity and analyzing historical data such as server access log file or web logs which are captured from the server then these web logs are used capturing the intuition list of the user so as to recommend page views to the user whenever he/she comes online for the next time. This present architecture for capturing recommendations in the form of intuition list of user. Intuition list consist of list of pages visited by user as well as the list of pages visited by other user of having similar usage profile. To developed and implemented personalized-recommendation system, a system that makes use of representations of items and user-profiles based on ontologies in order to provide semantic applications with personalized services. 

Keywords— Conceptual Prediction, Domain,  Mining, Extraction, Intuition 

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