期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：23
语种：English
出版社：Journal of Theoretical and Applied
摘要：Information retrieval systems aim to generate Search Engine Results Pages (SERP), which are web pages automatically generated by a search engine according to the keywords entered by the net surfers. The results are presented in a list where the most relevant data from the search engine are at the top. The main challenge about Information retrieval Systems is the gap between the intent of the Internet user and the appropriate keywords in their disposal. The emergence of such systems is motivated by the need of precise information and they may be different from Internet search engines like Google or Yahoo! WikiAnswers, Answers and domain-specific forums like Stack Overflow, on certain specific points. Although the idea of receiving a direct and targeted response to an issue seems very attractive and the quality of the question itself can have a significant effect on the likelihood of obtaining useful responses. Such an information retrieval paradigm is particularly appealing when the problem cannot be answered directly by the search engines due to the unavailability of relevant online content. A good understanding of the underlying purpose of an issue is important to better meet the information needed by the user. In this paper, we propose a new approach to detect the user's intent. This approach is based on the method of the recommendation of a list of items but without calculation of prediction. The method lies on the co-dissimilarity and the tree covering minimum weight based on the theory of graphs. Our approach improves the ranking of a website in organic search results to increase visibility and quality.
关键词：Search engine optimisation (SEO);intent User;Information search;Ranking of search results;search retriev
