User Behavioral Context-Aware Service Recommendation for Personalized Mashups in Pervasive Environments

2015 ◽  
pp. 683-694 ◽  
Author(s):  
Wei He ◽  
Guozhen Ren ◽  
Lizhen Cui ◽  
Hui Li
Keyword(s):  
Context Aware ◽  
Service Recommendation ◽  
Behavioral Context ◽  
Pervasive Environments ◽  
Context Aware Service

Design of Context Aware Recommendation Engine for Cell Phone using Bayesian Network, Fuzzy Logic, and Rough Set Theory

2012 ◽  
Vol 4 (4) ◽  
pp. 28-51
Author(s):  
Thyagaraju G. S. ◽  
U. P. Kulkarni
Keyword(s):  
Fuzzy Logic ◽  
Bayesian Network ◽  
Cell Phone ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Context Aware ◽  
Service Recommendation ◽  
Incoming Call ◽  
Service Adaptation ◽  
Context Aware Service

In this paper the authors have presented design and implementation of context aware service recommendation engine for cell phone. Context aware service recommendation engine for mobile is designed to automatically adopt its behavior to changing environment. To achieve this, an important issue to be addressed is how to effectively select services for adaptation according to the user’s current context. In this paper, the authors propose an intelligent service recommendation model. They formulate the service adaptation process by using artificial intelligence techniques like Bayesian Network, fuzzy logic and rough sets based decision table. Bayesian Network to classify the incoming call (high priority call, low priority call and unknown calls), fuzzy linguistic variables and membership degrees to define the context situations, the decision rules for adopting the policies of implementing a service.

Semantic Web-based context-aware service selection in task-computing

2009 ◽  
Vol 29 (3) ◽  
pp. 892-895 ◽  
Author(s):  
Run-cai HUANG ◽  
Yi-wen ZHUANG ◽  
Ji-liang ZHOU ◽  
Qi-ying CAO
Keyword(s):  
Semantic Web ◽  
Service Selection ◽  
Context Aware ◽  
Web Based ◽  
Context Aware Service
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