Augmenting context-aware citation recommendations with citation and co-authorship history

Anubrata Bhowmick, Ashish Singhal, Shenghui Wang

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With the increasing number of research papers being published, it has become a challenge to search for the most suitable articles for accurate referencing. Many local citation recommendation systems have begun to locate the suitable candidates by using the texts accompanying the citation suffix, along with the metadata of the target documents. Previous research has shown the positive effects from the citation relationships on such recommendations, however, the influence from the co-authorship history has not been fully investigated. In this paper, we extend the model proposed by Jeong, Jang & Park (2020) by combining the context, citation history with co-authorship information into the recommendation system. We also propose to use more domain-specific embeddings to better capture the semantics in the context. Our experiments show the positive effect of co-authorship information on citation recommendations, and that our model based on the combination of domain-specifically embedded context, the citation and the co-authorship history significantly outperforms the basic context-based recommendation model.

Original languageEnglish
Title of host publication18th International Conference on Scientometrics & Informetrics, ISSI 2021
Subtitle of host publicationProceedings
EditorsWolfgang Glänzel, Sarah Heeffer, Pei-Shan Chi, Ronald Rousseau
PublisherInternational Society for Scientometrics and Informetrics
Number of pages6
ISBN (Print)9789080328228
Publication statusPublished - Jul 2021
Event18th International Conference on Scientometrics and Informetrics, ISSI 2021 - Virtual, Leuven, Belgium
Duration: 12 Jul 202115 Jul 2021
Conference number: 18

Publication series

ISSN (Print)2175-1935


Conference18th International Conference on Scientometrics and Informetrics, ISSI 2021
Abbreviated titleISSI 2021
Internet address

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