IDEAS home Printed from https://ideas.repec.org/a/wsi/acsxxx/v16y2013i04n05ns0219525913500094.html
   My bibliography  Save this article

The Role Of Taste Affinity In Agent-Based Models For Social Recommendation

Author

Listed:
  • GIULIO CIMINI

    (Physics Department, University of Fribourg, CH-1700 Fribourg, Switzerland)

  • AN ZENG

    (Physics Department, University of Fribourg, CH-1700 Fribourg, Switzerland)

  • MATÚŠ MEDO

    (Physics Department, University of Fribourg, CH-1700 Fribourg, Switzerland)

  • DUANBING CHEN

    (Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China)

Abstract

In the Internet era, online social media emerged as the main tool for sharing opinions and information among individuals. In this work, we study an adaptive model of a social network where directed links connect users with similar tastes, and over which information propagates through social recommendation. Agent-based simulations of two different artificial settings for modeling user tastes are compared with patterns seen in real data, suggesting that users differing in their scope of interests is a more realistic assumption than users differing only in their particular interests. We further introduce an extensive set of similarity metrics based on users' past assessments, and evaluate their use in the given social recommendation model with both artificial simulations and real data. Superior recommendation performance is observed for similarity metrics that give preference to users with small scope — who thus act as selective filters in social recommendation.

Suggested Citation

  • Giulio Cimini & An Zeng & Matúš Medo & Duanbing Chen, 2013. "The Role Of Taste Affinity In Agent-Based Models For Social Recommendation," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-23.
    • Handle: RePEc:wsi:acsxxx:v:16:y:2013:i:04n05:n:s0219525913500094
    DOI: 10.1142/S0219525913500094
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219525913500094
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219525913500094?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:acsxxx:v:16:y:2013:i:04n05:n:s0219525913500094. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/acs/acs.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.