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

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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.
Keywords: web mining, web personalization, link prediction, web usage mining, recommender systems, web log
Mots-clés : web navigation assistant. 
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     author = {N. M. Ali and A. M. Gadallah and H. A. Hefny and B. A. Novikov},
     title = {Online web navigation assistant},
     journal = {Vestnik Udmurtskogo universiteta. Matematika, mehanika, kompʹ\^uternye nauki},
     pages = {116--131},
     publisher = {mathdoc},
     volume = {31},
     number = {1},
     year = {2021},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/VUU_2021_31_1_a8/}
}
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N. M. Ali; A. M. Gadallah; H. A. Hefny; B. A. Novikov. Online web navigation assistant. Vestnik Udmurtskogo universiteta. Matematika, mehanika, kompʹûternye nauki, Tome 31 (2021) no. 1, pp. 116-131. http://geodesic.mathdoc.fr/item/VUU_2021_31_1_a8/