User page behavior trajectory-based white list generation system and method

Abstract

The invention discloses a user page behavior trajectory-based white list generation system and a user page behavior trajectory-based white list generation method and belongs to the white list generation field in video live streaming. According to the system, a trajectory recording unit is arranged in each user terminal; a caching and preprocessing unit, a distributed real-time computing unit and a white list output unit are arranged in a live streaming platform server; the trajectory recording unit is used for recording page skip trajectory information and submitting the page skip trajectory information to the live streaming platform server; the caching and preprocessing unit is used for caching and preprocessing the page skip trajectory information and sending the page skip trajectory information to the distributed real-time computing unit in the form of data segments; and real-time computing subunits in the distributed real-time computing unit can analyze and verify page behavior information in the data segments, and add user IDs which pass verification to a white list. The user page behavior trajectory-based white list generation system and method of the invention have high real-time performance and high precision, can meet application requirements of various special scenes and ensure the effective proceeding of interactive activities.

Description

technical field [0001] The present invention relates to the technical field of whitelist generation in live video broadcasting, in particular to a whitelist generation system and method based on user page behavior tracks. Background technique [0002] With the rapid development of Internet technology, more and more users can use terminals such as computers and mobile phones to watch online live video broadcasts through the Internet. Online video live broadcast refers to live video live broadcast service using Internet network resources. Through live video shooting and synchronous release to the network, users can see real-time on-site conditions on the network at the same time. [0003] Usually, during the live video broadcast, the anchor of the live broadcast room will interact with the users who enter the live broadcast room. However, in order to ensure effective interactive activities, it is usually necessary to limit the users participating in the live interactive activ...

AI Technical Summary

Problems solved by technology

[0004] At present, in the field of live video broadcasting, the methods used to generate the whitelist are: based on the previous user data, the offline whitelist is regularly calculated (generated) according to the time period (day, week, month), and the calculation rules of the whitelist You need to implement the code logic according to the specified rules, so there is no way to guarantee the timeliness of the whitelist

Moreover, in the business scenario of a live video website, many hosts in a live broadcast room need to interact only with active users watching the current live broadcast room or active users on the website when launching interactive activities or special events on the website. The whitelist calculated offline will be obviously insufficient in accuracy, and it is also very inapplicable

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