2020/01/18 by Hardik Joshi, Joshi, Hardik, Jyoti Pareek +1
Computer Science · #Advanced Image and Video Retrieval Techniques #Algorithms and Data Compression #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #cs.IR
paper · pdf · doi:10.48550/arxiv.2001.08085
arXiv admin note: substantial text overlap with arXiv:1209.0126
arxiv created 2020/01/18 · openalex publication_date 2020/01/18 · arxiv updated 2020/01/23 · openalex created_date 2020/01/30 · openalex updated_date 2026/07/28
In this paper, we present the experimental work done on Query Expansion (QE) for retrieval tasks of Gujarati text documents. In information retrieval, it is very difficult to estimate the exact user need, query expansion adds terms to the original query, which provides more information about the user need. There are various approaches to query expansion. In our work, manual thesaurus based query expansion was performed to evaluate the performance of widely used information retrieval models for Gujarati text documents. Results show that query expansion improves the recall of text documents.