Sachin Kumar

Work place: Parul University, Vadodara CO-391760, India

E-mail: jaiswalsachin009@gmail.com

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Biography

Sachin Kumar, an Assistant Professor in Computer Science & Engineering at Parul University, Vadodara. He has completed his B.Tech in Computer Science & Engineering from AKTU, Lucknow, India in 2011. He obtained his M.Tech degree in Computer Science from Baba Saheb Bhimrao Ambedkar University, Lucknow, India in 2016. He has completed his diploma in Statistics and computing in 2022 from Banaras Hindu University. He has done JRF and SRF from Banaras Hindu University. He has completed his doctoral studies from Veer Bahadur Singh Purvanchal University in 2024 in the area of Machine Learning, Deep Learning and Cloud Computing.

Author Articles
A Survey of Techniques for Improving Information Retrieval through Query Expansion

By Surabhi Solanki Seema Verma Sachin Kumar

DOI: https://doi.org/10.5815/ijitcs.2025.02.07, Pub. Date: 8 Apr. 2025

This paper presents a comprehensive survey of QE techniques in IR. Core techniques, employed data sources, and methodologies used in the process of query expansion are discussed. The output study highlights four main steps concerned with expanding queries: steps related to preprocessing of data sources and term extraction, calculation of weights and ranking of terms, selection of terms, and finally expansion. The most important findings are that only effective text normalization and removal of stopwords provide a real platform for performing QE. The introduction of contextually relevant terms significantly enhanced relevance feedback and thesaurus-based WordNet expansion techniques. They have been shown to significantly improve retrieval effectiveness as has been realized from various experiments conducted over years now. It also uses the manual query expansion techniques and discusses several automated ways in order to improve retrieval effectiveness. This work, by reviewing the related literature and methodologies, gives an overview of how the techniques of query expansion have been evolving with time and achieved better results in IR systems. The survey offers a valuable resource for researchers and practitioners in information retrieval, shedding light on the advancements, challenges, and future directions in query expansion research.

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