IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v33y2020i4p53-73.html
   My bibliography  Save this article

A Survey of Recommendation Systems

Author

Listed:
  • Sushma Malik

    (Shobhit Institute of Engineering and Technology (Deemed to be University), Meerut, India)

  • Anamika Rana

    (Maharaja Surajmal Institute of Technology, Delhi, India)

  • Mamta Bansal

    (Shobhit University, Meerut, India)

Abstract

Today's internet is able to discover almost any product or piece of information. The large amounts of unfiltered information returned by an internet query calls for filters able to validate and rank the available options. Recommender systems (RSs) are a software tool designed to qualify the options available and make suggestions that align with the user's requirements and expectations. This paper reviews some significant applications of RSS in various areas like videos, music, eCommerce sites, news, and many more. It also reviews various filtering techniques like collaborative, content based, and hybrid.

Suggested Citation

  • Sushma Malik & Anamika Rana & Mamta Bansal, 2020. "A Survey of Recommendation Systems," Information Resources Management Journal (IRMJ), IGI Global, vol. 33(4), pages 53-73, October.
    • Handle: RePEc:igg:rmj000:v:33:y:2020:i:4:p:53-73
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.2020100104
    Download Restriction: no
    ---><---

    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:igg:rmj000:v:33:y:2020:i:4:p:53-73. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.