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A Survey on Citation Recommendation System

Publication Type : Conference Proceedings

Publisher : IEEE

Source : 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)

Url : https://ieeexplore.ieee.org/abstract/document/9917887

Campus : Amritapuri

School : School of Computing

Center : Algorithms and Computing Systems

Year : 2022

Abstract : Citation recommendation is a technique that assists an academic publisher or scholar in identifying a selection of relevant works that can be cited while writing a paper. In comparison to prior years, it is clear that there is currently a deluge of articles being published every year. Each year, more than 50,000 publications in the field of artificial intelligence are published. As a result, the traditional way of identifying valid citations appears to be a very difficult process, as there appears to be a massive flow of data. Traditional recommendation systems, despite their prevalence, are ineffective and time-consuming. So far, several techniques to tackle this problem have been offered.In this study, we will look at a range of citation recommendation systems that have been developed so far, as well as their future potential.

Cite this Research Publication : Pillai, Reshma S., and L. R. Deepthi. "A Survey on Citation Recommendation System." 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). IEEE, 2022.

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