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Citation Recommendation with Random Walking

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Comprehensible Science (ICCS 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 186))

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Abstract

Citation recommendation is a research problem that has a lot of potential impact in both academia and practice. In this paper, we present a method of citation recommendation based on the content of documents. Our method does not require the metadata of the documents. We evaluate our method against some real-world datasets. The experimental results claim the advantages of our proposed approach compared to the other techniques.

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Notes

  1. 1.

    https://www.aminer.org/citation.

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Authors and Affiliations

  1. Industrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Quang-Vinh Dang

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  1. Quang-Vinh Dang
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Correspondence to Quang-Vinh Dang .

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  1. Institute of Certified Specialists (ICS), Perm, Russia

    Tatiana Antipova

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Dang, QV. (2021). Citation Recommendation with Random Walking. In: Antipova, T. (eds) Comprehensible Science. ICCS 2020. Lecture Notes in Networks and Systems, vol 186. Springer, Cham. https://doi.org/10.1007/978-3-030-66093-2_4

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