首页> 外国专利> Matching System for Real-Time Knowledge Sharing Between Knowledge Seekers and Knowledge Providers Offering Choice of Free and Fee-Based Services Across Multiple Categories and Subjects and Involving both Ad Hoc and Sheduled Knowledge Transfer Sessions Facilitated and Achieved Using Hybrid Network Topology Comprising Client-Server and Peer-To-Peer Functions

Matching System for Real-Time Knowledge Sharing Between Knowledge Seekers and Knowledge Providers Offering Choice of Free and Fee-Based Services Across Multiple Categories and Subjects and Involving both Ad Hoc and Sheduled Knowledge Transfer Sessions Facilitated and Achieved Using Hybrid Network Topology Comprising Client-Server and Peer-To-Peer Functions

机译:知识搜索者和知识提供者之间实时知识共享的匹配系统,提供跨多个类别和主题的免费和收费服务选择,并且通过使用包含客户端-服务器和服务器的混合网络拓扑来促进和实现即席和计划式知识转移会话点对点功能

摘要

System of matching algorithms for pairing parties wherein one party seeks and consumes knowledge and the other party provides knowledge by means of real-time knowledge transfer sessions conducted via video communications and multiple media. Knowledge can be transferred through collaborative problem solving, questions-and-answers, tutorials, structured sessions, and unstructured sessions. The transfer of knowledge can take place on a pay-for-service basis or by means of knowledge-gifting. The system can accommodate one-to-one, one-to-many, many-to-one, and many-to-many assemblages of knowledge sharing participates. The system includes post-session ratings of each party by and of the other party, building cumulative ratings scores, supplemented with video and voice and text reviews with the resultant data woven into an algorithmic solution for matching participants in future sessions with optimally favorable outcomes, based on the quantifiably expressed feedback of all session participants.
机译:用于配对方的匹配算法的系统,其中一方通过视频通信和多种媒体进行的实时知识转移会话来寻找和消费知识,而另一方提供知识。可以通过协作解决问题,问答,教程,结构化会话和非结构化会话来传递知识。知识的转让可以按服务付费或通过赠送知识来进行。该系统可以容纳一对一,一对多,多对一和多对多的知识共享组合。该系统包括每一方和另一方的会议后评分,建立累积评分得分,视频,语音和文本评论,并将结果数据编入算法解决方案中,以使将来的会议参与者达到最佳的结果,基于所有会话参与者的量化表示的反馈。

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