Information recommendation method and apparatus, and terminal device

Abstract

The invention discloses an information recommendation method and apparatus, and a terminal device. The method comprises the steps of obtaining current operation of a user when a triggering condition of information recommendation is detected, and determining a current state of the user according to the current operation and a pre-generated state machine model of the user, wherein the state machine model contains multiple states of the user, and each state is used for indicating a current operation behavior of the user; and generating first recommendation information corresponding to the current state according to the current state. According to the method, the user does not need to manually select preferred information content types, so that the user operation step is simplified; and a state machine technology is applied to the information recommendation process, so that the identification speed of user preferences is increased, the effect of information recommendation during first use by the user is improved, and the user experience is enhanced.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to an information recommendation method, device and terminal equipment. Background technique [0002] With the rapid development of electronic technology, more and more users use applications. In order to better meet the user's needs, when the user uses the application, in order to attract the user to continue using the application or to use the application for a long time, the application usually recommends information to the user. For example, when a user uses an article reader application, the article reader application usually recommends article information to the user. [0003] In related technologies, the method usually adopted when recommending information to users is as follows: provide users with multiple tags for article content types, and users actively select tags that users are interested in from among the multiple tags according to their own pre...

AI Technical Summary

Problems solved by technology

[0004] The current problem is that in the process of information recommendation, users need to actively select the tags they are interested in, and then recommend the corresponding information according to the tags selected by the user, which increases the user's operation steps and makes the information recommendation method unintelligent , the information recommendation effect is poor, which reduces the user experience

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