Prompt method and device for contact person

Abstract

The present invention discloses a user generated content (UGC) contact prompting method and device. The method comprises analyzing UGC operation information posted by a specific user to obtain a contact having a specific relevance with the specific user to constitute a relevance chain, wherein the specific relevance comprises intimacy relevance, and the relevance chain includes an intimacy chain; after a contact prompting command of the specific user is received, searching for contact information matched with key words of the contact prompting command from the relevance chain of the specific user; and prompting the contact information searched from the relevance chain of the specific user on the interface of the specific user. With adoption of the method and the device, operating efficiency of searching a target contact may be raised, and corresponding machine resources and network bandwidth resources are saved.

Description

technical field [0001] The present application relates to the technical field of computer and Internet data processing, and in particular to a method and device for prompting contacts. Background technique [0002] At present, with the development of Internet technology, the Internet has gradually become an important source of information for people, especially after the Internet enters the Web2.0 era, users are not only the viewers of website content, but also the creators of website content. The content created by users is called UGC, such as logs and photos published by users. In the era of Web 2.0, due to the emergence of a large number of UGC, the amount of network information has grown rapidly at a geometric level, forming a situation of multiple, wide, and specialized, which has played a very important role in the accumulation and dissemination of human knowledge. [0003] A website system that can publish UGC is generally called a UGC website system. For example, c...

AI Technical Summary

Problems solved by technology

Frequently interacting contacts that are highly relevant to the currently logged-in user are ranked last due to account letters, making it very difficult to find a target contact, which seriously affects the user's operational efficiency

Moreover, at present, the number of contacts in the basic relationship chain of most users is often hundreds or even thousands, and the number of contacts (including fans) in the basic relationship chain of some celebrity users often reaches millions. It will be more difficult to search and find a target contact person who is more relevant to the person in the relationship contacts, and the operation efficiency will be lower

In order to be able to find a target contact that is more relevant to the user, users often need to perform a large number of human-computer interaction operations (such as scrolling, clicking to view, etc.), and each human-computer interaction operation will occupy corresponding machine resources and network bandwidth. resource

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