期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2020
卷号：11
期号：11
DOI：10.14569/IJACSA.2020.0111111
出版社：Science and Information Society (SAI)
摘要：Everyone is in the need of accurate and efficient information retrieval in no time. Search engines are the main source to extract the required information, when a user search a query and wants to generate the results. Different search engines provide different Application Programming Interface (API) and Libraries to the researchers and the programmers to access the data that has been stored in servers of the search engines. When a researcher or programmer search's a query by using API, it returns a Java Script Orientation Notation (JSON) file. In this JSON file, information is encapsulated where scraping techniques are used to filter out the text. The aim of this paper is to propose a different approach to effectively and efficiently filter out the queries based on text which has been searched by the search engines and return the most appropriate results to the users after matching the searched text because the previous techniques which are used are not enough efficient. We use different comparison techniques, i.e. Sequence Matcher Method and then compare the results of this technique with relevance feedback and in the end we found that our proposed technique is providing much better results.
