Research on adaptive recommendation algorithm emerging in user interest in an electronic commerce environment
by Qingqing Zhang; Xingjing Wu; Tinggui Chen
International Journal of Computing Science and Mathematics (IJCSM), Vol. 6, No. 5, 2015

Abstract: The user's interest measuring, modelling and updating is the basic and core component in a personalised service system. In this paper, based on the factors that affect user's interest in combination, with the introduction of browsing bytes per unit time and improved calculation method of stay time on webpage, established a calculation function of interest degree with variables of browsing bytes per time, stay time with weight and browsing rate. According to the user's interest is stable in a short period of time, then set up the hierarchical vector space model (VSM) based on the representation of the user's interest model and the mechanism of updating. At the same time, interest degree was imported into vector model, and used the tree layers of tree structure to represent the user's interest. The interest subject is based on the characteristics of keywords, and the model was updated at a fixed interval time T, to improve the practicability of the personalised system, so as to better meet the user's personalised needs.

Online publication date: Tue, 10-Nov-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computing Science and Mathematics (IJCSM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com