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Table of Links

Abstract and 1. Introduction

  1. Related Work

  2. Proposed Dataset

  3. SymTax Model

    4.1 Prefetcher

    4.2 Enricher

    4.3 Reranker

  4. Experiments and Results

  5. Analysis

    6.1 Ablation Study

    6.2 Quantitative Analysis and 6.3 Qualitative Analysis

  6. Conclusion

  7. Limitations

  8. Ethics Statement and References

Appendix

8 Limitations

The current work marks the initial step towards incorporating human behaviour in designing a recommendation system for citation. We show empirically that such an inclusion leads to significant gains in performance. However, additional signals that resemble the actual citation behaviour can be incorporated to yield better performance. In the current setting, our system is limited to work in offline mode. We intend to transform our system to operate in the online setting, providing real-time recommendations.


Authors:

(1) Karan Goyal, IIIT Delhi, India ([email protected]);

(2) Mayank Goel, NSUT Delhi, India ([email protected]);

(3) Vikram Goyal, IIIT Delhi, India ([email protected]);

(4) Mukesh Mohania, IIIT Delhi, India ([email protected]).


This paper is available on arxiv under CC by-SA 4.0 Deed (Attribution-Sharealike 4.0 International) license.


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