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International Conference on Asian Digital Libraries

ICADL 2019: Digital Libraries at the Crossroads of Digital Information for the Future pp 63–70Cite as

Research Paper Recommender System with Serendipity Using Tweets vs. Diversification

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11853))

Abstract

So far, a lot of works have studied research paper recommender systems. However, most of them have focused only on the accuracy and ignored the serendipity, which is an important aspect for user satisfaction. The serendipity is concerned with the novelty of recommendations and to which extent recommendations positively surprise users. In this paper, we investigate a research paper recommender system focusing on serendipity. In particular, we examine (1) whether a user’s tweets lead to a generation of serendipitous recommendations and (2) whether the use of diversification on a recommendation list improves serendipity. We have conducted an online experiment with 22 subjects in the domain of computer science. The result of our experiment shows that tweets do not improve the serendipity, despite their heterogeneous nature. However, diversification delivers serendipitous research papers that cannot be generated by a traditional strategy.

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Notes

  1. 1.

    https://scholar.google.co.jp/.

  2. 2.

    https://dblp.uni-trier.de/pers/.

  3. 3.

    https://www.acm.org/publications/class-2012.

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Author information

Authors and Affiliations

  1. Kyoto University Library, Kyoto, Japan

    Chifumi Nishioka

  2. Kiel University, Kiel, Germany

    Jörn Hauke

  3. University of Essex, Colchester, UK

    Ansgar Scherp

Authors
  1. Chifumi Nishioka
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  2. Jörn Hauke
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  3. Ansgar Scherp
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Corresponding author

Correspondence to Chifumi Nishioka .

Editor information

Editors and Affiliations

  1. Kyoto University, Kyoto, Japan

    Adam Jatowt

  2. Ritsumeikan University, Kusatsu, Japan

    Akira Maeda

  3. The Catholic University of America, Washington, DC, USA

    Sue Yeon Syn

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Nishioka, C., Hauke, J., Scherp, A. (2019). Research Paper Recommender System with Serendipity Using Tweets vs. Diversification. In: Jatowt, A., Maeda, A., Syn, S. (eds) Digital Libraries at the Crossroads of Digital Information for the Future. ICADL 2019. Lecture Notes in Computer Science(), vol 11853. Springer, Cham. https://doi.org/10.1007/978-3-030-34058-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-34058-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34057-5

  • Online ISBN: 978-3-030-34058-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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