Bibliographic Citation Recommender System
| 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.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.identifier.citation | 19p. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10263/7306 | |
| 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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