Bibliographic Citation Recommender System

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Date

2021-07

Journal Title

Journal ISSN

Volume Title

Publisher

Indian Statistical Institute, Kolkata.

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.

Description

Dissertation under the supervision of Mandar Mitra

Keywords

Bibliographic Citation, Recommendation System, Collaborative Filtering, Content Based Methods

Citation

19p.

Endorsement

Review

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