Intelligent social network recommender system

Abstract

The present invention discloses an intelligent social network recommender system. The system comprises: a data obtaining module and a data processing module, wherein the data obtaining module is used for carrying on webpage data crawling and storing the data into a database, and the data processing module is used for carrying on website data crawling, establishing a social network with a user as a node and an interaction of users as an edge relationship, wherein one user edge relationship is occurred by generation of one interaction of the users in the network, otherwise no user edge relationship, and the users with the edge relationship present a neighbor relation and a establishment of a communication network of the social network is finished; and dividing communities by a community division algorithm, selecting an influential index according to the emphasis in different social networks, to analyze influential ranking on the user with similar characteristics in the single community, carrying on a classification of a user value with analysis of a user interest sticker, and plotting out a larger community to carry on analysis of influetial value on the users, thereby realizing an advantage of improving the identification accuracy of important users in the social network.

Description

technical field [0001] The present invention relates to the communication field, in particular to an intelligent social network recommendation system. Background technique [0002] At present, social network, as an important platform for people to disseminate information and communicate, makes full use of the open, equal and fast characteristics of the Internet to bring people a unique experience of interaction and information sharing, and greatly expands the scope of human information dissemination and communication. . The rapid development of social networks and the continuous growth of the number of users not only bring fundamental changes in information communication technology, but also changes in people's living habits, communication methods, and thinking concepts. The information dissemination mode of social network is two-way interactive and open, which also leads to the characteristics of wide range, fast speed and uncontrollable information dissemination. [0003...

AI Technical Summary

Problems solved by technology

[0003] In the application of social network analysis at this stage, the network supervision department has insufficient analysis and key monitoring of important users of forums in social network analysis, and lacks specific measures to control the spread of public opinion; advertising partners lack precise positioning of users to achieve advertising, and no Make full use of the word-of-mouth effect and dissemination power of social networks

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