Paper Info
Title
Context-aware role mining for mobile service recommendation
Abstract
Finding and recommending suitable services for mobile users are increasingly important due to the popularity of mobile Internet. While recent research has attempted to use role-based approaches to recommend services, role discovery is still an ongoing research topic. In particular, numerous role mining approaches have been proposed in the context of RBAC (Role-Based Access Control) in which only two dimensions of parameters are considered (i.e., ); and the notion of context-awareness has been disregarded. This paper proposes a context-aware role mining method to automatically group users according to their interests and habits, such that popular mobile services can be recommended to other members in the same group in a context dependent manner. Experiments show that our approach is efficient and practical for mobile service recommendation.
Year
DOI
Venue
2012
10.1145/2245276.2245310
SAC
Keywords
Field
DocType
numerous role mining approach,group user,context dependent manner,role discovery,mobile user,context-aware role mining,popular mobile service,context-aware role mining method,mobile service recommendation,ongoing research topic,mobile internet,context dependent,two dimensions,role based access control
Mobile internet,Mobile search,Internet privacy,World Wide Web,Computer science,Popularity,Mobile business development,Mobile service,Role-based access control,Access control
Conference
Citations 
PageRank 
References 
9
0.49
14
Authors
7
Name
Order
Citations
PageRank
Jian Wang121021.57
Cheng Zeng25710.34
Chuan He390.49
Liang Hong419333.79
Liang Zhou5212.75
Raymond K. Wong6661105.45
Jilei Tian758435.38