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Bibliographic Citation Recommender System

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dc.contributor.author Ashrit, P Omkar
dc.date.accessioned 2022-03-24T05:35:02Z
dc.date.available 2022-03-24T05:35:02Z
dc.date.issued 2021-07
dc.identifier.citation 19p. en_US
dc.identifier.uri http://hdl.handle.net/10263/7306
dc.description Dissertation under the supervision of Mandar Mitra en_US
dc.description.abstract With increasing volume of published scholarly articles every year, it becomes demanding to include appropriate references in a paper. Recommendation systems for bibliographic citations suggests possible references to authors. We discuss performances of di↵erent recommendation approaches in this report. We also have implemented a prototype extension for VS Code which suggests references in real time to the authors. This is the link of the GitHub repository for the dissertaion. en_US
dc.language.iso en en_US
dc.publisher Indian Statistical Institute, Kolkata. en_US
dc.relation.ispartofseries Dissertation;CS1914
dc.subject Bibliographic Citation en_US
dc.subject Recommendation System en_US
dc.subject Collaborative Filtering en_US
dc.subject Content Based Methods en_US
dc.title Bibliographic Citation Recommender System en_US
dc.type Other en_US


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