Functional feature-aware APP recommendation with personalised PageRank
by Yueyue Xia; Xiangliang Zhong; Yiwen Zhang; Yuanting Yan
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 39, No. 4, 2022

Abstract: With the explosive growth of mobile applications and the widespread deployment of internet of things (IoT) services, it has become an urgent problem to recommend applications for users that they are interested in. And most of the current mobile APP recommendation methods are based on the user's behaviour data or context-aware information, to some extent, ignoring the user's preference for APP functional features. Therefore, this paper proposes a functional feature-aware mobile APP recommendation method, named S-AppRank. S-AppRank first extracts the functional features of mobile applications and their internal association through weight calculation, then constructs a directed graph of user functional features with the association rules, and then adds user ratings to the traditional PageRank algorithm, incorporating explicit feedback into recommendation personally. Finally, the user's interests in the overall APP are predicted, and a recommendation list is generated. The experiments on the real dataset of Huawei application market show that the S-AppRank proposed in this paper is better than other comparison methods.

Online publication date: Wed, 23-Mar-2022

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 Ad Hoc and Ubiquitous Computing (IJAHUC):
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