Query Expansion with Enhanced-BM25 Approach for Improving the Search Query Performance on Clustered Biomedical Literature Retrieval
Thayyaba Khatoon MD, A. Govardhan
Journal of Digital Information Management, Vol. 16, No. 2, 2018.
DOI: https://doi.org/10.6025/jdim/2018/16/2/85-98
Link: http://dline.info/fpaper/jdim/v16i2/jdimv16i2_4.pdf
Abstract:
The aim of this paper is to improve the search query performance of the biomedical literature by expanding the queries with most significant terms. Methods: In this article, an enhanced BM25 mathematical approach is proposed to retrieve the most query relevant literature from clustered Biomedical literature bank with query expansion from MeSH. The clustered biomedical
topics are analyzed with different pre-processing methods and term-weighting functions and found the best values for the tuning parameters K1, b, K3 and the right combination of pre-processing and term weighting functions for improving the query performance in terms of Average Precision, Mean Average Precision and R-precision.