In-Depth Métan- Search Engine

• Published in: 2021 International Conference on Information Systems and Advanced Technologies (ICISAT) pp. 1 - 6
• Main Authors: Mourad, Belabed, Abdeslam, Dennai
• Format: Conference Proceeding
• Language: English
• Published: IEEE 27-12-2021
• Subjects: Engines; Information systems; Metasearch; MétaN-Search; Optimization; Search Engine; Search Engine Optimization (SEO); Search engines; taN-Search; Web Page; Web pages
• DOI: 10.1109/ICISAT54145.2021.9678494

The use of search engines is one of the most popular online activities. In addition, users generally receive good results and relatively high confidence in the ability of search engines.The primary objective of this paper is to provide a model for researching and collecting web pages and relevant information at the user's request.Sometimes when a search query is sent by a user, the use of several search engines creates a difference in the search results on the one hand and a wealth of quality and the quantity of these results at the same time.Experts in this field have confirmed that the relevant search results obtained from a meta-search engine has made substantial progress.In order to improve these meta-search engines, we propose a new model by detailing and optimizing the results of a metasearch (the search for a search) by the duplicate of the search in a precise way and by dissecting a result in several search results until exhaustion of this research search.Repeating this search of search gives birth to a new concept that is «Méta n -Search».