IDEAS home Printed from https://ideas.repec.org/a/ids/ijpdev/v29y2025i1p1-16.html
   My bibliography  Save this article

Personalised push method for sports goods purchase information in the context of marketing

Author

Listed:
  • Ziya Wang
  • Fei Gao

Abstract

To solve the issues of low satisfaction and low unique visitor (UV) click rate in the existing personalised push methods of commodity purchase information, this paper proposes a personalised push method for sports goods purchase information in the context of marketing. By utilising crawler technology, an online shopping platform users' behaviour data set for purchasing sporting goods is established. A generalised hierarchical tree of user portrait attribute tags is constructed, and the browsing time of sporting goods containing a certain tag is calculated to allocate the membership degree of sporting goods and mine user interest preferences. The Pearson similarity algorithm is applied to construct the similarity matrix for personalised push, enabling personalised push of sporting goods purchase information. Experiments demonstrate that the user satisfaction rate using this method consistently remains above 88%. Furthermore, the highest UV click rate achieved is 7.56%, indicating a successful push effect.

Suggested Citation

  • Ziya Wang & Fei Gao, 2025. "Personalised push method for sports goods purchase information in the context of marketing," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 29(1), pages 1-16.
    • Handle: RePEc:ids:ijpdev:v:29:y:2025:i:1:p:1-16
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=144848
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijpdev:v:29:y:2025:i:1:p:1-16. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=36 .

    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.