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Online web navigation assistant
<span title="">2021</span>
<i title="Udmurt State University">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bib5ilppqzaqnofpoiqpy3v6au" style="color: black;">Vestnik Udmurtskogo Universiteta Matematika Mekhanika Komp yuternye Nauki</a>
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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
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... 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.
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