基于TV-Anytime规范的PDR多Agent个性化服务

Study on multi-agent personalization service for PDR in TV-Anytime

目的研究基于TV-Anytime规范的新一代智能个人数字媒体设备PDR的个性化服务关键技术。方法引入特征表示和相似度度量算法,提出用户个人喜好知识的学习和更新方法,研究了多个Agent之间的通信机制。结果提出PDR智能多Agent个性化服务的关键技术及主要算法和机制,给出验证系统的设计。结论提出的算法和机制为实现PDR智能多Agent个性化服务奠定了基础。

Aim To research the key techniques for intelligent multi-Agent personalization service system for PDR （personal digital recorder）, a new generation of intelligent personal digital media device specified by TV-Anytime specifications. Methods Feature representation and similarity measurement algorithm are introduced, preference knowledge learning and update methods are presented, inter-agent communication mechanism is studied. Results The key algorithms and methods involved in the implementation of intelligent personalization service for PDR are proposed, and the verification system is designed. Conclusion The methods and algorithms presented have laid foundation for the implementation of personalization service in PDR in the future.