Business data pushing method and device and storage medium

Abstract

The embodiment of the invention discloses a business data pushing method and device and a storage medium, and the method comprises the steps: obtaining a behavior log table of a game user in a game client, and extracting key behavior data information associated with the game user from the behavior log table; carrying out user portrait analysis on the key behavior data information to obtain user portrait information used for representing the game user; and when it is determined that the game user satisfies a data pushing condition based on the user portrait information, obtaining service data information of K service types matched with the user portrait information, and pushing prompt information corresponding to the service data information of the K service types to a game terminal corresponding to the game user, and enabling the game terminal to display the prompt information in a game display interface corresponding to the game client, wherein k is a positive integer. By adopting themethod and the device, active touch of the prompt information can be realized, and the accuracy of data recommendation can be improved based on the user portrait information.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a service data push method, device and storage medium. Background technique [0002] When the existing question answering system recommends business data information (for example, Internet information such as articles, songs, game props) to users, it needs to recommend business data information according to the question text currently entered by the user in the text entry area. Here The business data information of usually refers to the answer text corresponding to the current question text. This means that the existing question answering system is a passive recommendation system, and it is difficult to achieve active access to information. [0003] In addition, the existing question answering system, when recommending data to different users (for example, user A and user B), will use the relevant text information entered by user A and user B in the corresponding te...

AI Technical Summary

Problems solved by technology

This means that the existing question answering system is a passive recommendation system, and it is difficult to achieve active access to information

[0003] In addition, the existing question answering system, when recommending data to different users (for example, user A and user B), will use the relevant text information entered by user A and user B in the corresponding text entry area (for example, user A The text information 1 entered by user B and the text information 2) entered by user B are called the question texts of these two users. Then, when the text label of text information 1 is similar to the text label of text information 2, there will be no question answering system. Differently push the same answer text for these two users

Obviously, in game scenarios, it is impossible to provide targeted answer texts for different users. For example, the existing question answering system does not provide targeted answer texts for these two users (ie user A and user B) of different game ranks. Game strategy, which in turn reduces the accuracy of data recommendations

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