CN-121998707-A - Interactive advertisement generation method, device, equipment and storage medium

CN121998707ACN 121998707 ACN121998707 ACN 121998707ACN-121998707-A

Abstract

The application provides an interactive advertisement generation method, device, equipment and storage medium, wherein the method comprises the steps of acquiring input text data, and carrying out multi-modal analysis on the text data to obtain text labels, three-dimensional model characteristics and interactive logic; performing semantic alignment and association binding processing on the text labels, the three-dimensional model features and the interaction logic to obtain rendering data, performing equipment adaptation rendering on the rendering data to generate advertisement content, performing user behavior simulation prediction on the advertisement content to obtain a prediction result, and adjusting the advertisement content based on the prediction result to generate an interactive advertisement. The interactive advertisement generated by the scheme is richer and more various, the prediction effect of the interactive advertisement can be timely obtained and adjusted, and the generation efficiency and the actual use effect of the interactive advertisement are improved.

Inventors

LI SHUIXIANG
WANG CHUANPENG

Assignees

广州三七极耀网络科技有限公司

Dates

Publication Date: 20260508
Application Date: 20251231

Claims (10)

1. An interactive advertisement generation method, comprising: Acquiring input text data, and carrying out multi-modal analysis on the text data to obtain a text label, three-dimensional model characteristics and interaction logic; carrying out semantic alignment and association binding processing on the text labels, the three-dimensional model features and the interaction logic to obtain rendering data; Performing equipment adaptation rendering on the rendering data to generate advertisement content, and performing user behavior simulation prediction on the advertisement content to obtain a prediction result; and adjusting the advertisement content based on the prediction result to generate an interactive advertisement.
2. The interactive advertisement generation method according to claim 1, wherein the multi-modal parsing of the text data to obtain text labels, three-dimensional model features, and interactive logic comprises: carrying out multi-mode analysis on the text data through a set language model to obtain a structured strategy instruction; And generating corresponding text labels, three-dimensional model features and interaction logic based on the structured policy instructions and the set model library.
3. The interactive advertisement generation method according to claim 2, wherein the generating corresponding text labels, three-dimensional model features and interaction logic based on the structured policy instructions and the set model library comprises: determining a text label corresponding to the structuring strategy instruction; Determining visual features, sound effect features and interaction features associated with the text labels through a set visual element library, a sound effect library and a dynamic effect library; Determining three-dimensional model features corresponding to the structuring strategy instruction based on the visual features, the sound effect features and a set three-dimensional model library; And determining interaction logic corresponding to the structuring strategy instruction based on the interaction characteristics and the three-dimensional model library.
4. The interactive advertisement generation method according to claim 1, wherein the performing semantic alignment and association binding processing on the text label, the three-dimensional model feature and the interactive logic to obtain rendering data comprises: Defining a virtual time line, wherein the virtual time line comprises virtual key points and interaction states; Aligning the text labels, the three-dimensional model features and the interaction logic to the virtual key points and the interaction state to obtain aligned text labels, three-dimensional model features and interaction logic; and determining a semantic hot zone in the aligned three-dimensional model features, and binding the aligned text labels, interaction logic and the semantic hot zone to obtain rendering data.
5. The interactive advertisement generation method according to any one of claims 1-4, wherein the performing device-adapted rendering of the rendering data to generate advertisement content comprises: Acquiring a built-in equipment performance map; A plurality of progressively rated advertising content is generated based on the device performance map and the rendering data.
6. The method for generating interactive advertisements according to any one of claims 1 to 4, wherein the performing user behavior simulation prediction on the advertisement content to obtain a prediction result includes: Generating an advertisement interaction prototype based on the advertisement content; And carrying out simulation operation of preset user behaviors on the advertisement interaction prototype, and recording the loss node corresponding to the simulation operation to obtain a prediction result comprising at least one loss node.
7. The method of generating interactive advertisements according to claim 6, wherein said adjusting the advertisement content based on the prediction result generates interactive advertisements, comprising: Determining one or more adjustable elements corresponding to the churn node and associated element adjustment values in the advertisement content; And adjusting the corresponding adjustable element in the advertisement content based on the element adjustment value to generate an interactive advertisement.
8. An interactive advertisement generating apparatus, comprising: The acquisition module is used for acquiring the input text data; the analysis module is used for carrying out multi-mode analysis on the text data to obtain a text label, three-dimensional model characteristics and interaction logic; the information processing module is used for carrying out semantic alignment and association binding processing on the text labels, the three-dimensional model features and the interaction logic to obtain rendering data; and the content generation module is used for carrying out equipment adaptation rendering on the rendering data to generate advertisement content, carrying out user behavior simulation prediction on the advertisement content to obtain a prediction result, and adjusting the advertisement content based on the prediction result to generate an interactive advertisement.
9. An interactive advertisement generating apparatus comprising one or more processors and storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the interactive advertisement generating method of any of claims 1-7.
10. A storage medium storing computer executable instructions which, when executed by a computer processor, are for performing the interactive advertisement generation method of any one of claims 1-7.

Description

Interactive advertisement generation method, device, equipment and storage medium Technical Field The present application relates to the field of artificial intelligence technologies, and in particular, to an interactive advertisement generating method, apparatus, device, and storage medium. Background Interactive advertising is a novel advertising modality that delivers information through a two-way interactive format. Different from the traditional static advertisement, the interactive advertisement can interact with the user in the display process, so that the user experience is improved. For example, in the process of displaying interactive advertisements, users can try to play and try to interact with advertisement contents, so that information transmission is carried out more vividly. In the related technology, when the interactive advertisement is generated, the generation of the advertisement content is mainly carried out by adopting a template generation tool and a single-mode AI generation technology, and the advertisement content generated by the mode has serious homogenization and lacks cooperativity with the interaction of the user. In addition, the traditional AB test can obtain a feedback result only after being put in for a plurality of days, and the prediction effect of the interactive advertisement has certain hysteresis after being generated, so that the instant release and adjustment of the content are not facilitated. Disclosure of Invention The application provides a method, a device, equipment and a storage medium for generating interactive advertisements, which solve the problems that advertisement contents generated in related technologies are serious in homogenization, lack of cooperativity with interaction of users and have certain hysteresis in prediction effect. The text data is analyzed in multiple modes, so that interactive advertisements are generated, diversity is enriched, a prediction result is obtained by utilizing a user behavior simulation mechanism, and corresponding adjustment is performed, so that the prediction effect of the interactive advertisements can be obtained in time, adjustment is performed, and the generation efficiency and the actual use effect of the interactive advertisements are improved. In a first aspect, the present application provides an interactive advertisement generating method, including: Acquiring input text data, and carrying out multi-modal analysis on the text data to obtain a text label, three-dimensional model characteristics and interaction logic; carrying out semantic alignment and association binding processing on the text labels, the three-dimensional model features and the interaction logic to obtain rendering data; Performing equipment adaptation rendering on the rendering data to generate advertisement content, and performing user behavior simulation prediction on the advertisement content to obtain a prediction result; and adjusting the advertisement content based on the prediction result to generate an interactive advertisement. Optionally, the performing multi-modal analysis on the text data to obtain a text label, a three-dimensional model feature and interaction logic includes: carrying out multi-mode analysis on the text data through a set language model to obtain a structured strategy instruction; And generating corresponding text labels, three-dimensional model features and interaction logic based on the structured policy instructions and the set model library. Optionally, the generating the corresponding text label, the three-dimensional model feature and the interaction logic based on the structured policy instruction and the set model library includes: determining a text label corresponding to the structuring strategy instruction; Determining visual features, sound effect features and interaction features associated with the text labels through a set visual element library, a sound effect library and a dynamic effect library; Determining three-dimensional model features corresponding to the structuring strategy instruction based on the visual features, the sound effect features and a set three-dimensional model library; And determining interaction logic corresponding to the structuring strategy instruction based on the interaction characteristics and the three-dimensional model library. Optionally, the performing semantic alignment and association binding processing on the text label, the three-dimensional model feature and the interaction logic to obtain rendering data includes: Defining a virtual time line, wherein the virtual time line comprises virtual key points and interaction states; Aligning the text labels, the three-dimensional model features and the interaction logic to the virtual key points and the interaction state to obtain aligned text labels, three-dimensional model features and interaction logic; and determining a semantic hot zone in the aligned three-dimensional model features, and binding the aligne