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Message delivery method in a network for automatically increase the signal-to-noise ratio of the interest of the user, the system and architecture

机译:网络中用于自动增加用户兴趣的信噪比的消息传递方法,系统和体系结构

摘要

The present invention pertains to a method for delivering messages in a social network to increase a signal-to-noise ratio perceived by the recipients of messages, characterized in that a-process mechanism comprises of a diffusion process and a selection process combined through an adaptive process, in which : €¢ the diffusion process dispatches each message according to at least one diffusion feature, extracted from said message in a pre-process phase, through dynamic routing graphs defined between the sender user and a set of potentially interested recipient users; €¢ the selection process locally filters the messages that are effectively transmitted from sender users and received by recipient users with a selection function maximizing interdependency between metadata values constituting a message profile extracted from each transmitted message and weighted feature values constituting a user profile of the recipient to establish an estimate of interest for the user regarding each message, and €¢ the adaptive process continuously adjusts processing functions to adapt the graphs structure according to the user profiles dynamically updated by message metadata.
机译:本发明涉及一种用于在社交网络中传递消息以增加消息接收者感知的信噪比的方法,其特征在于,一种处理机制包括扩散处理和选择处理,它们通过自适应相结合。过程,其中:扩散过程通过在发送者用户和一组潜在感兴趣的接收者用户之间定义的动态路由图,根据在预处理阶段从所述消息中提取的至少一个扩散特征来调度每个消息;选择过程在本地过滤从发送者用户有效发送并由接收者用户接收的消息,并具有选择功能,该选择函数可最大化构成从每个传输的消息中提取的消息概要文件的元数据值与构成接收者用户概要文件的加权特征值之间的相互依赖性建立用户对每个消息的兴趣估计,以及自适应过程根据消息元数据动态更新的用户配置文件不断调整处理功能以适应图结构。

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