IDEAS home Printed from https://ideas.repec.org/a/spr/elcore/v23y2023i4d10.1007_s10660-022-09543-x.html
   My bibliography  Save this article

Novel next-group recommendation approach based on sequential market basket information

Author

Listed:
  • Li-Ching Ma

    (National United University)

Abstract

A market basket is a set of items included in a retail assortment that a customer buys on a shopping trip. The purpose of market basket analysis is to persuade a customer to spend more money through upselling or cross-selling. Most recommendation systems only suggest a single next-item or the top n items that a customer is most likely to buy. A company might succeed in convincing a customer to spend more money to increase sales revenue if a recommendation system can suggest the next or top n groups of items that customers are likely to buy according to the items in their basket. Based on the similarity upper approximation clustering, Borda majority count and PrefixSpan algorithm, this paper proposes a novel next-group recommendation approach according to sequential market basket information. Compared with the previous methods, the proposed approach can provide next-group instead of next-item recommendation, which may create more opportunities for customers to increase their spending.

Suggested Citation

  • Li-Ching Ma, 2023. "Novel next-group recommendation approach based on sequential market basket information," Electronic Commerce Research, Springer, vol. 23(4), pages 2399-2418, December.
    • Handle: RePEc:spr:elcore:v:23:y:2023:i:4:d:10.1007_s10660-022-09543-x
    DOI: 10.1007/s10660-022-09543-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10660-022-09543-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10660-022-09543-x?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:spr:elcore:v:23:y:2023:i:4:d:10.1007_s10660-022-09543-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.