Open AccessEnhancing User Profile Accuracy for Personalized Web Systems
Author(s) -
Anas El-Ansari,
Abderrahim Beni-Hssane,
Mostafa Saadi
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8776.029420
Subject(s) - personalization , computer science , focus (optics) , world wide web , ontology , user modeling , user profile , feature (linguistics) , web navigation , user journey , key (lock) , human–computer interaction , user needs , hierarchy , information retrieval , user experience design , user interface , multimedia , computer user satisfaction , web service , user interface design , philosophy , linguistics , physics , computer security , epistemology , economics , optics , market economy , operating system
Personalized Web Applications aim to improve the user's browsing experience by offering customized products and services based on his preferences and needs. A key feature of a successful personalization system is building profiles that accurately express the real interests and needs of each user. In this work, we focus on creating accurate, complete and dynamic profiles by capturing and tracking the users’ browsing activities. Moreover, we implement techniques to increase the accuracy of the retrieved user profiles by collecting more browsing data, identifying the most important concepts and removing irrelevant ones, and the number of levels from the concept hierarchy in the reference ontology that we should use to efficiently represent the users’ reel interests and needs. The result is a complete, dynamic, and accurate user profile that can be used to give users better-personalized browsing experience.