Subscriber social circle-based information dissemination assessment method and device

Abstract

The invention relates to a subscriber social circle-based information dissemination assessment method and device. According to the device and the method, after a subscriber social circle is divided clearly via analysis of subscriber behavior characteristics, effects exerted by a predesignated subscriber in different social circle groups can be calculated; social contact feature words of each subscriber in the social circle can be obtained via calculation through word segmentation technologies; when the predesignated subscriber needs to post information, feature vectors of the information can be extracted and can be matched with the social contact feature words of each social circle; in the matching subscriber social circle, overall dissemination value of the information to be posted by the predesignated subscriber can be calculated. Via use of the method, article dissemination performance can be accurately assessed based on the word segmentation technologies, and pertinence and dissemination efficiency of article publishing can be effectively improved.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a method and device for evaluating information dissemination based on user social circles. Background technique [0002] At present, with the rise of social media, social information, such as Weibo, mobile instant messaging has become an important way to disseminate information, especially with the rise of self-media, information published by individuals, such as articles, etc. Repeated communication reaches a high degree of communication, which is of great significance to the communication of personal brand and product brand (such as advertisements, etc.). [0003] However, the inventors of the present invention have found that currently, many information recommendations are basically based on tags of users and tags of information to be recommended, and are recommended through various algorithms. At the present stage, there is no effective way to know the dissemina...

AI Technical Summary

Problems solved by technology

At the present stage, there is no effective way to know the dissemination of information in advance, so it is difficult to know the influence of information and the most effective communication path in advance with a purpose and pertinence, resulting in the waste of media resources

[0004] For example, some articles may not be of great interest to the users who directly receive them, but if they can be relayed to the next level through these directly received users, their reading and dissemination may reach a relatively large level, However, when the author pre-perceptually recognizes that the users who are directly received will not be too interested, he will often choose not to publish the article, which will cause a great waste of media resources; however, if such an article can be used to pre-learn other According to the degree of dissemination, the author can decide whether to publish the article according to the calculated dissemination heat, which will play a very important role in promoting the effective use of media resources

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