Citation Recommendation

Citation Recommendation

Citation recommendation is the task of determining the most relevant citations for a given piece of text in a specific domain. Due to the large number of documents published continuously, it is not easy to find the relevant documents for a topic. In this project, you will design and implement a deep learning-based model for citation recommendation in the domain of scientific publications.

Some of the related papers in this task are listed below:

- Michael Färber, Adam Jatowt, “Citation recommendation: approaches and datasets”, International Journal on Digital Libraries, 21:375–405, 2020,

- Zihan Huang, Charles Low, Mengqiu Teng, Hongyi Zhang, Daniel E. Ho, Mark S. Krass, Matthias Grabmaie, “Context-Aware Legal Citation Recommendation using Deep Learning”, ICAIL, p.79–88, 2021


Project Advisor: 

Tunga Güngör

Project Status: 

Project Year: 

  • Spring

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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