scholarly journals Mining Personal Context-Aware Preferences for Mobile Users

2012 ◽  
Author(s):  
Hengshu Zhu ◽  
Enhong Chen ◽  
Kuifei Yu ◽  
Huanhuan Cao ◽  
Hui Xiong ◽  
...  
Keyword(s):  
Mobile Users ◽  
Context Aware ◽  
Personal Context

scholarly journals A personal context-aware multi-device coaching service that supports a healthy lifestyle

2011 ◽  
Author(s):  
Rieks op den Akker ◽  
Randy Klaassen ◽  
Tine Lavrysen ◽  
Gijs Geleijnse ◽  
Aart van Halteren ◽  
...  
Keyword(s):  
Healthy Lifestyle ◽  
Context Aware ◽  
Personal Context

scholarly journals Researching Context-Aware Recommendation Systems in Mobile Environments

1970 ◽  
Vol 2 ◽  
pp. 59-60
Author(s):  
María del Carmen Rodríguez-Hernández ◽  
Sergio Ilarri
Keyword(s):  
Recommendation Systems ◽  
Mobile Users ◽  
Context Aware ◽  
Mobile Environments ◽  
Design And Implementation ◽  
Ongoing Work ◽  
Definition Of

The design and implementation of generic frameworks to support an easy development of context-aware recommendation systems has been relatively unexplored. In this paper, we briefly present our ongoing work for the definition of a framework that will support the development of context-aware recommendation systems in distributed and mobile environments. Those systems will allow suggesting relevant items to mobile users.

Call U Back

2011 ◽  
Vol 2 (2) ◽  
pp. 1-13
Author(s):  
Xining Li ◽  
Jiazao Lin
Keyword(s):  
Knowledge Sharing ◽  
Context Awareness ◽  
Intelligent Agents ◽  
Business Processes ◽  
Research Area ◽  
Mobile Users ◽  
Great Success ◽  
Context Aware ◽  
Logical Inference ◽  
Business Applications

Mobile commerce (M-commerce) is an attractive research area due to its relative novelty, rapid growth, and great potential in business applications. Over the last decade, various M-commerce applications have been geared to target mobile users and achieved great success. However, most M-commerce applications are developed by different retailers for special purposes and thus lack fully automated business processes to integrate various existing services. This paper presents a novel infrastructure, Call U Back (CUB), for M-commerce applications. The proposed scheme integrates concepts of agent and context-aware workflow to implement automated trading tasks and compose services dynamically. The context awareness is based on ontology and logic models which derive from a set of descriptive contextual attributes for knowledge sharing and logical inference. Based upon the context-aware workflow analysis, the system will generate automated intelligent agents to conduct commerce transactions on behalf of mobile users. The middleware layer of the CUB server has been implemented. An experimental prototype of the system is under development and testing.

Call U Back

2013 ◽  
pp. 61-73
Author(s):  
Xining Li ◽  
Jiazao Lin
Keyword(s):  
Knowledge Sharing ◽  
Context Awareness ◽  
Intelligent Agents ◽  
Business Processes ◽  
Research Area ◽  
Mobile Users ◽  
Great Success ◽  
Context Aware ◽  
Logical Inference ◽  
Business Applications

Mobile commerce (M-commerce) is an attractive research area due to its relative novelty, rapid growth, and great potential in business applications. Over the last decade, various M-commerce applications have been geared to target mobile users and achieved great success. However, most M-commerce applications are developed by different retailers for special purposes and thus lack fully automated business processes to integrate various existing services. This paper presents a novel infrastructure, Call U Back (CUB), for M-commerce applications. The proposed scheme integrates concepts of agent and context-aware workflow to implement automated trading tasks and compose services dynamically. The context awareness is based on ontology and logic models which derive from a set of descriptive contextual attributes for knowledge sharing and logical inference. Based upon the context-aware workflow analysis, the system will generate automated intelligent agents to conduct commerce transactions on behalf of mobile users. The middleware layer of the CUB server has been implemented. An experimental prototype of the system is under development and testing.

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