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Home » Issues » Archive of Issues » 2021 - 1 issue » pp. 116-131

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Egypt; Russia Giza; Port Said; Saint Petersburg
Year
2021
Volume
31
Issue
1
Pages
116-131
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Section Computer science
Title Online web navigation assistant
Author(-s) Ali N.M.abc, Gadallah A.M.a, Hefny H.A.a, Novikov B.A.d
Affiliations Cairo Universitya, Port Said Universityb, Saint Petersburg State Universityc, Higher School of Economics, Saint Petersburgd
Abstract 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, web navigation assistant
UDC 004.048, 004.622, 004.657
MSC 68T10, 68U35
DOI 10.35634/vm210109
Received 8 July 2020
Language English
Citation Ali N.M., Gadallah A.M., Hefny H.A., Novikov B.A. Online web navigation assistant, Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2021, vol. 31, issue 1, pp. 116-131.
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