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.
