A personalised search approach for web service recommendation Online publication date: Tue, 28-May-2013
by Rong Hu; Wanchun Dou; Jianxun Liu
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 13, No. 2, 2013
Abstract: It is a challenge to recommend services according to users' interests when search systems return plenty of keyword-like services. We propose a personalised search approach for web service recommendation. First, interests are extracted from users' records. Second, interest-similar users are selected using the criterion of cosine distance. Third, services are ranked in decreasing order based on the recommendation from interest-similar users. At the end of this paper, we conduct three groups' experiments to verify the effect of this approach.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Ad Hoc and Ubiquitous Computing (IJAHUC):
Login with your Inderscience username and 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