Bibliographic Citation Recommender System
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Date
2021-07
Authors
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.
