Information recommendation method, device, electronic device, and computer-readable storage medium

Abstract

The embodiment of the present disclosure relates to the field of information processing technology, and discloses an information recommendation method, device, electronic equipment, and computer-readable storage medium, wherein the information recommendation method includes: acquiring each first predetermined image category and each image currently included in the terminal device. The proportion of the first predetermined image category, each first predetermined image category is preset by the terminal device according to the user's category setting instruction and / or pre-configured by the terminal device; then, according to each first predetermined image category and each first predetermined image category According to the proportion of the image category, the user's preference information is determined; then, according to the preference information, the target object is determined, and the object information of the target object is recommended to the user. The method of the embodiment of the present disclosure can quickly and accurately find the target object that the user is interested in, effectively recommend information, improve the accuracy of information recommendation, ensure that information recommendation has great reference value for users, and improve user satisfaction Spend.

Description

technical field [0001] Embodiments of the present disclosure relate to the technical field of information processing, and specifically, the present disclosure relates to an information recommendation method, device, electronic device, and computer-readable storage medium. Background technique [0002] With the increasing development of information technology, information recommendation has become an important content of the current network technology application. In order to prevent users from spending a lot of time and energy searching and acquiring information, information recommendations are usually made to users, so that users can quickly find interesting information from a large amount of information. For example, when a user browses news, videos, advertisements, etc., recommend content that may be of interest to the user, and for example, when the user browses products, recommend products that the user is inclined to purchase, and so on. [0003] However, the inventor...

AI Technical Summary

Problems solved by technology

[0003] However, the inventors of the present disclosure discovered during the specific implementation process that although related technologies provide various types of information recommendation methods, they all excavate the information to be recommended that users are more interested in based on the user's historical behavior, without taking into account The influence of the pictures and / or videos in the user's album on the recommended information leads to the blindness of the recommended information, the low accuracy of the information recommendation, and certain limitations in the personalized recommendation

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