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Extension of Direct Citation Model Using In-text citations

Computers, Materials & Continua 2021年第3期66卷 3121-3138页

作者： Abdul Shahid Muhammad Tanvir Afzal Muhammad Qaiser Saleem M.S.Elsayed Idrees Majzoob K.Omer Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science NAMAL InstituteMianwali42250Pakistan College of Computer Science and Information Technology Albaha UniversityAl BahaSaudi Arabia

citations based relevant research paper recommendations can be generated primarily with the assistance of three citation models:(1)Bibliographic Coupling,(2)Co-Citation,and(3)Direct *** of new scholarly articles are published every *** flux of scientific information has made it a challenging task to devise techniques that could help researchers to find the most relevant research papers for the paper at *** this study,we have deployed an in-text citation analysis that extends the Direct Citation Model to discover the nature of the relationship degree-ofrelevancy among scientific *** this purpose,the relationship between citing and cited articles is categorized into three categories:weak,medium,and *** an experiment,around 5,000 research papers were crawled from the *** research papers were parsed for the identification of in-text citation ***,0.1 million references of those articles were extracted,and their in-text citation frequencies were computed.A comprehensive benchmark dataset was established based on the user ***,the results were validated with the help of Least Square Approximation by Quadratic Polynomial *** was found that degreeof-relevancy between scientific papers is a quadratic increasing/decreasing polynomial with respect to-increase/decrease in the in-text citation frequencies of a cited ***,the results of the proposed model were compared with state-of-the-art techniques by utilizing a well-known measure,known as the normalized Discount Cumulative Gain(nDCG).The proposed method received an nDCG score of 0.89,whereas the state-of-the-art models such as the Content,Bibliographic-coupling,and Metadata-based Models were able to acquire the nDCG values of 0.65,0.54,and 0.51 *** results indicate that the proposed mechanism may be applied in future information retrieval systems for better results.

关键词： Direct citation model in-text citations frequencies normalized discount cumulative gain least square approximation

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