Paper Info
Title
User Profiling Based on Similarity, Trust and Reputation
Abstract
This paper offers a proposal for user profiling based on similarity, trust and reputation notions. We present a general profile ontology to model the basic concepts related to the profile assignment process. Based on this ontology, we propose an adaptive mechanism to guide the interactions between user and broker agents aimed to select the most suitable profile taking into account the user's requirements and preferences. Broker agents estimate the suitability of the profiles using trust and reputation information coming from its own experiences or from other brokers. Under uncertainty conditions, similarity between two set of user's requirements and preferences is also used. The evaluation of suitability of each suggested profile to the user's requirements and the similarity between two set ofuser's requirements are based on the service discovery processes proposed by WSMO.
Year
DOI
Venue
2012
10.1109/IE.2012.29
Intelligent Environments
Keywords
Field
DocType
suitable profile,basic concept,reputation notion,suggested profile,profile assignment process,general profile ontology,adaptive mechanism,broker agent,set ofuser,reputation information,reputation,user requirements,semantics,ontologies,similarity,profiling,trust,knowledge based systems,ubiquitous computing,reliability,service discovery
Ontology (information science),Ontology,WSMO,Profiling (computer programming),Computer science,Knowledge-based systems,Human–computer interaction,Ubiquitous computing,Service discovery,Reputation
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Alberto Caballero1485.82
Andrés Muñoz25414.67
Juan A. Botia31239.95