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Accuracy Is Not Enough: Serendipity Should Be Considered More

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 612))

Abstract

In recent years, information overload has led to the development of a wide variety of different types of recommender systems (RSs), which aim at harnessing the problem in different domains. Most RSs spare no effort to improve the accuracy to help users find items matching their latest preferences. However, RSs with high accuracy not always capture user satisfaction due to that users might get bored with the items which are similar to what they liked in the past. Furthermore, they narrow the horizon of users and limiting the dynamic nature of user interests. Given this, serendipity draws more attention when evaluating RSs. In this paper, we review the studies on serendipity. Working toward this direction, we propose a new metric aiming at evaluating serendipity of RSs and a new strategy to balance the tension between accuracy and serendipity in movie recommender domain.

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Acknowledgements

This paper is supported by National Natural Science Foundation of China (Project 61372113).

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Authors and Affiliations

  1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, People’s Republic of China

    Huan Yu, Ying Wang, Yaning Fan & Sachula Meng

  2. CTTL-Terminals, China Academy of Information and Communications Technology, Beijing, 100191, People’s Republic of China

    Rui Huang

Authors
  1. Huan Yu
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  2. Ying Wang
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  3. Yaning Fan
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  4. Sachula Meng
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  5. Rui Huang
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Corresponding author

Correspondence to Ying Wang .

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Editors and Affiliations

  1. Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Yu, H., Wang, Y., Fan, Y., Meng, S., Huang, R. (2018). Accuracy Is Not Enough: Serendipity Should Be Considered More. In: Barolli, L., Enokido, T. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2017. Advances in Intelligent Systems and Computing, vol 612. Springer, Cham. https://doi.org/10.1007/978-3-319-61542-4_22

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  • DOI: https://doi.org/10.1007/978-3-319-61542-4_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61541-7

  • Online ISBN: 978-3-319-61542-4

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