Open AccessOnline web navigation assistant
Author(s) -
Noaman M. Ali,
Ahmed Gadallah,
Hesham A. Hefny,
Boris Novikov
Publication year - 2021
Publication title -
vestnik udmurtskogo universiteta. matematika, mehanika, kompʹûternye nauki
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.354
H-Index - 8
eISSN - 2076-5959
pISSN - 1994-9197
DOI - 10.35634/vm210109
Subject(s) - computer science , world wide web , the internet , web modeling , data web , web application , information overload , web development , web navigation , web mining , web intelligence , big data , web page , data science , information retrieval , data mining
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.