Online web navigation assistant

N. M. Ali ; A. M. Gadallah ; H. A. Hefny ; B. A. Novikov

Vestnik Udmurtskogo universiteta. Matematika, mehanika, kompʹûternye nauki, Tome 31 (2021) no. 1, pp. 116-131

Résumé

The problem of finding relevant data while searching the internet represents a big challenge for web users due to the enormous amounts of available information on the web. These difficulties are related to the well-known problem of information overload. In this work, we propose an online web assistant called OWNA. We developed a fully integrated framework for making recommendations in real-time based on web usage mining techniques. Our work starts with preparing raw data, then extracting useful information that helps build a knowledge base as well as assigns a specific weight for certain factors. The experiments show the advantages of the proposed model against alternative approaches.

Détail

Keywords: web mining, web personalization, link prediction, web usage mining, recommender systems, web log
Mots-clés : web navigation assistant.

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