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An ontology-based profiling method for accurate web personalization systems

Author(s)
ANAS EL-ANSARI LAROSERI laboratory,Computer Science Department, Sciences Faculty, Chouaib Doukkali University, El Jadida, Morocco
ABDERRAHIM BENI-HSSANE LAROSERI laboratory,Computer Science Department, Sciences Faculty, Chouaib Doukkali University, El Jadida, Morocco
MOSTAFA SAADI Univ Sultan Moulay Slimane, LaSTI laboratory, ENSA Khouribga, B.P 77 Khouribga, Morocco
Abstract
In recent years, the huge development in information technology led to a data explosion on the web, motivating the need for powerful and efficient strategies for information retrieval. Personalized Web systems are an example used to enhance the user experience by offering tailor-made services according to his profile. Building accurate profiles representing the reel user's interests that can change in time is the major ingredient for an efficient personalization system. This work presents our approach for generating accurate and dynamic user profiles implicitly by tracking and capturing the user's interests and preferences. Moreover, we investigate techniques to improve the profiles' accuracy; through accumulating more browsing data from multiple sources, distinguishing the most relevant concepts, and also identifying the number of ontology levels in the concepts' hierarchy needed to accurately represent each user's reel interests and preferences. Exploiting users' feedback, results prove feasibility and accuracy of the generated profiles.
Publication Details
Page(s) 2817-2827
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 14, Year: 2020

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Keywords
Web personalization system
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