Information pushing method, computer storage medium and terminal

Abstract

Provided are an information pushing method, a computer storage medium and a terminal. The information pushing method comprises analyzing and determining structured information of each electronic imageto be pushed; analyzing and determining a user model of the electronic image browsed by a user according to the user's browsing record; and selecting the electronic image pushed to the user from theelectronic images to be pushed according to the analyzed and determined structured information and the user model. According to the information pushing method, the computer storage medium and the terminal, through the structured information and the user model, the push of the electronic image is achieved, and the user's multimedia application experience is improved.

Description

technical field [0001] This article involves but is not limited to multimedia technology, especially an information push method, computer storage medium and terminal. Background technique [0002] The content on the Internet is complex and diverse, especially picture content, which has replaced text content as one of the main traffic content of the Internet in recent years, which has also created many new demands; for example, users purchase or browse online With regard to the electronic version of images (referred to as electronic images for short), how to push the desired images for users has become a concern. [0003] In the past, when users browsed information through the Internet, there were often sufficient text descriptions, so reasonable content could be recommended for users based on the user’s browsing history, time, frequency, etc.; when purchasing or browsing electronic images online, due to the There is often a lack of necessary descriptions (for example, artis...

AI Technical Summary

Problems solved by technology

[0003] In the past, when users browsed information through the Internet, there were often sufficient text descriptions, so reasonable content could be recommended for users based on the user’s browsing history, time, frequency, etc.; when purchasing or browsing electronic images online, due to the There is often a lack of necessary descriptions (for example, artist groups often only provide the names of electronic images, and rarely describe the content of electronic images), and it is impossible to determine users' perceptions of various types of images through users' browsing or purchasing electronic images. Browsing frequency, therefore, it is currently difficult to push users the electronic images they want

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