A user recommendation method and system based on margin

Abstract

The invention discloses a user recommendation method and a system based on margin, belonging to the social network field. The method comprises the following steps of: setting a deposit which can be used for safeguarding the rights of social network chat communication; agreement to use the margin to protect the social network chat rights of the contract; acquiring a margin value corresponding to the candidate user account that can be used to safeguard the rights of social network chat interaction; determining a second user account number according to the margin value; recommending the second user account to the first user account. The invention solves the problems that the users are easy to be harassed by malicious users and the rights and interests of the users are violated, and the rightsand interests protection cost is high and the rights protection efficiency is low, so as to reduce the social fear of the users' network and improve the credibility and security of the social network.

Description

technical field [0001] The invention relates to the field of social network, in particular to a user recommendation method and system based on deposit. Background technique [0002] Social networking, namely social networking services (Social Networking Services, SNS), specifically refers to Internet application services designed to help people build social networks. In the social network, the user can chat with friends by finding and adding friends, or the user can chat with strangers through strangers selected by the server. [0003] In the current social network, the first user can check the friend user list, and the friends in the friend user list are recommended to the first user after being sorted by the server according to simple conditions, and the first user selects and clicks the second user in the friend user list, Chat with friends; for example: in the WeChat social network, the first user can view the address book, and the friends in the address book are sorted...

AI Technical Summary

Problems solved by technology

[0004] Because in the above-mentioned friend chat, the friends in the first user’s friend user list are not necessarily all friends who are really familiar with and reliable, the server sorts the friends in the first user’s friend user list according to simple conditions as the second user collection, recommended to the first user, then the recommended second user collection is likely to have malicious users such as liars; in the aforementioned stranger chatting, the server also selects strangers based on the simple matching conditions set by the first user The list is used as the second user set and is recommended to the first user, then there are likely to be malicious users such as liars in the recommended second user set; therefore, users are easily harassed by malicious users in social network chatting, and , the cost of rights protection after the user's rights are violated is high, and the efficiency of rights protection is low, which aggravates the user's social fear on the Internet

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