Research on Multi-Agent Service Recommendation Mechanism Based on Bayesian Network
Zhu Zhenmin · 2010
In ubiquitous computing environment,services recommendation needs to satisfy the system's mobility and he-terogeneity.A multi-Agent service recommendation mechanism was put forward,bayesian network and clustering method and update mechanism were used.It is fully taken into account that contexts affect the result of recommendation.The system consists of Agents which accomplish the functions such as history context collecting,knowledge training,policy-making recommendation and self-learning.Furthermore,by designing the information of communication,flow control and data shared-path among Agents were constructed.