A method for processing information by an intelligent body and the intelligent body

Abstract

The invention discloses a method for processing information by an intelligent body and the intelligent body, which relate to the technical field of the Internet and are suitable for learning and processing information in a social network. In the embodiment of the present invention, the first agent sends a request message to the second agent, and the request message includes an invitation message or recommendation message sent to the second agent; the first agent receives the decision of the second agent feedback message, the decision message is the message determined by the second agent according to the invitation message or recommendation message and the second agent's own knowledge model; according to the decision message, the first agent updates its own knowledge model or reports to the first agent corresponding to the first agent. The user account sends a notification message. By adopting the technical solutions provided by the embodiments of the present invention, the information in the social network can be learned and processed by interacting with other agents, so as to realize data mining on the social network.

Description

Technical field [0001] The present invention relates to the field of Internet technology, in particular to a method for an intelligent body to process information and an intelligent body. Background technique [0002] Social networks have become an increasingly important part of the Internet, and information mining and analysis in social networks has become an important direction. In the prior art, data based on the assumption of independent and identical distribution can be learned and processed through classification or clustering methods. Independent and identical distribution means that the sequence of variables or other random variables have the same probability distribution, and the variables are independent of each other, that is, the value of the variable is not affected by the value of other variables. The classification method refers to first training a set of labeled samples to obtain a classifier, and then during testing, input the unlabeled samples into the classifi...

AI Technical Summary

Problems solved by technology

[0003] However, when existing technologies are used to process information on social networks, since classification or clustering methods are used to process independent and identically distributed data, and information on social networks usually presents personalized features, traditional classification Or the clustering method is not suitable for processing the information of the social network, so the data mining of the social network cannot be completed

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