Measuring efficiency of retrieval algorithms with Schweizer-Sklar information aggregation-Reference-Cited by-同舟云学术

Measuring efficiency of retrieval algorithms with Schweizer-Sklar information aggregation

Published:2023-11 Issue: Volume:647 Page:119438
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Kausar Rukhsana^ORCID,Riaz Muhammad^ORCID,Yasin Yasir,Deveci Muhammet,Pamucar Dragan^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

1. Introduction to Information Retrieval System;Liu,2008

2. Automatic query formulations in information retrieval;Salton;J. Am. Soc. Inf. Sci.,1983

3. Automatic information extraction from e-commerce websites;Qiu,2010

4. An adaptive fuzzy information retrieval model to improve response time perceived by e-commerce clients;Ajayi;Expert Syst. Appl.,2010

5. Modern Information Retrieval;Baeza-Yates,1999

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