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Efficient E-Learning Multi-Keyword Search-Based Application for Students' Better Education

Efficient E-Learning Multi-Keyword Search-Based Application for Students' Better Education
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Author(s): H. Riaz Ahamed (Bharath Institute of Higher Education and Research, India)and D. Kerana Hanirex (Bharath Institute of Higher Education and Research, India)
Copyright: 2024
Pages: 18
Source title: Cross-Industry AI Applications
Source Author(s)/Editor(s): P. Paramasivan (Dhaanish Ahmed College of Engineering, India), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India), Karthikeyan Chinnusamy (Veritas, USA), R. Regin (SRM Instıtute of Science and Technology, India)and Ferdin Joe John Joseph (Thai-Nichi Institute of Technology, Thailand)
DOI: 10.4018/979-8-3693-5951-8.ch020

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Abstract

Using numerous phrases or phrases of search to enter into a computerized database or internet search engine to find appropriate outcomes is known as a multi-keyword inquiry. This kind of research is typically used in many ways, including databases, online marketplaces, retrieval of records systems, and search engines on the web. By selecting multiple keywords, consumers can filter the results of their searches, improving the effectiveness and efficiency of their search. The present research presents a useful tool for pupils who use multi-keyword searches in online learning. The Boolean retrieval model (BRM), the vector space model (VSM), and the inverse index (II) are each of the three search models whose effectiveness is painstakingly evaluated in this study. This research aims to determine the best searching strategy through comprehensive examination, resulting in an improved and simple-to-operate instructional setting for online learners.

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