A Detailed Comparative Analysis of Document Ranking Approaches


Authors : Hashmy Hassan; Sudheep Elayidom

Volume/Issue : Volume 7 - 2022, Issue 12 - December

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3GAqVNb

DOI : https://doi.org/10.5281/zenodo.7527605

Abstract : This paper is a detailed comparative analysis of different document ranking algorithms, focusing on retrieval systems to generate a relevance score for each document on the user query. We are trying to bring out knowledge in document ranking through this analysis. In this paper, we divided the document ranking algorithms from pieces of literature. We categorized them into three main categories based on the algorithm used – a score based, machine learning and neural ranking approach.

Keywords : Information Retrieval, Document Ranking, Learning to Rank, Neural Ranking.

This paper is a detailed comparative analysis of different document ranking algorithms, focusing on retrieval systems to generate a relevance score for each document on the user query. We are trying to bring out knowledge in document ranking through this analysis. In this paper, we divided the document ranking algorithms from pieces of literature. We categorized them into three main categories based on the algorithm used – a score based, machine learning and neural ranking approach.

Keywords : Information Retrieval, Document Ranking, Learning to Rank, Neural Ranking.

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