[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v64y2013i12p2548-2563.html
   My bibliography  Save this article

Investigating confidence displays for top‐N recommendations

Author

Listed:
  • Guy Shani
  • Lior Rokach
  • Bracha Shapira
  • Sarit Hadash
  • Moran Tangi
Abstract
Recommendation systems often compute fixed‐length lists of recommended items to users. Forcing the system to predict a fixed‐length list for each user may result in different confidence levels for the computed recommendations. Reporting the system's confidence in its predictions (the recommendation strength) can provide valuable information to users in making their decisions. In this article, we investigate several different displays of a system's confidence to users and conclude that some displays are easier to understand and are favored by most users. We continue to investigate the effect confidence has on users in terms of their perception of the recommendation quality and the user experience with the system. Our studies show that it is not easier for users to identify relevant items when confidence is displayed. Still, users appreciate the displays and trust them when the relevance of items is difficult to establish.

Suggested Citation

  • Guy Shani & Lior Rokach & Bracha Shapira & Sarit Hadash & Moran Tangi, 2013. "Investigating confidence displays for top‐N recommendations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(12), pages 2548-2563, December.
    • Handle: RePEc:bla:jamist:v:64:y:2013:i:12:p:2548-2563
    DOI: 10.1002/asi.22934
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.22934
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.22934?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:bla:jamist:v:64:y:2013:i:12:p:2548-2563. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.