Personalized interaction content generation method based on real-time data and medium

Abstract

The invention discloses a personalized interactive content generation method based on real-time data and a medium, and the method comprises the following steps: integrating an AIGC engine, and calling the AIGC engine to automatically generate personalized interactive content according to user behavior data; the user behavior data at least comprises browsing records and business types of users; by integrating the AIGC engine, the personalized interaction content can be automatically generated according to the real-time behavior data of the user, and the method has remarkable advantages. Firstly, by analyzing information such as browsing records and business types of users, requirements and interests of the users can be more accurately understood, and more personalized and accurate recommendation and guidance are provided for the users.

Description

Technical Field

[0001] The present invention relates to the field of human-computer interaction technology, and in particular to a method and medium for generating personalized interactive content based on real-time data. Background Art

[0002] In today's era of information explosion, users are increasingly interacting with various systems (such as e-commerce platforms, government service platforms, and financial service platforms). Traditional interactive content is often static and generic, unable to dynamically adjust to users' personalized needs and real-time behaviors. For example, on e-commerce platforms, product recommendations are mostly based on users' purchase history, but lack in-depth analysis and real-time feedback on their current browsing behavior. As a result, recommended content may not meet users' current interests and needs. On government service platforms, policy interpretations are often unified text content, without personalized interpretation methods such as charts and summaries tailored to different user behaviors and needs, making it difficult for users to quickly understand and obtain key information.

[0003] The development of artificial intelligence (AIGC), particularly the rise of generative artificial intelligence (AIGC), has provided new approaches and methods for solving the problem of personalized interactive content. AIGC can automatically generate various forms of content, such as text, images, and charts, based on input data and instructions. However, existing AIGC-based personalized interaction methods still have some shortcomings. First, many methods simply use static user information (such as age, gender, and past purchase history) as input, lacking the effective use of real-time user behavior data and failing to keep pace with changing user needs. Second, in the process of generating personalized content, it is difficult to select appropriate content formats (such as recommendation phrases, service guide summaries, policy interpretation charts, etc.) based on different user behaviors and needs, resulting in insufficient precision and effectiveness of the generated content.

[0004] Therefore, a method for generating personalized interactive content based on real-time data is needed, which can give full play to the advantages of AIGC and dynamically generate personalized and diversified interactive content according to the user's real-time behavior to meet the user's needs in different scenarios and improve user experience and interaction efficiency. Summary of the Invention

[0005] The object of the present invention is to provide a method and medium for generating personalized interactive content based on real-time data, thereby solving all or one of the above-mentioned problems existing in the prior art.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: In one aspect, the present invention provides a method for generating personalized interactive content based on real-time data, comprising the following steps: Integrate an AIGC engine and call the AIGC engine to automatically generate personalized interactive content based on user behavior data; The user behavior data at least includes the user's browsing history and business type.

[0007] Furthermore, the AIGC engine includes a content generation module that can generate personalized content based on user behavior data, including product recommendation scripts, service guide summaries and dynamic policy interpretation charts.

[0008] Furthermore, the content generation module determines the user's interest preferences by analyzing the user's browsing history, and based on this, generates product recommendation words that match the user's interest preferences.

[0009] Furthermore, the content generation module automatically generates a corresponding service guide summary according to the user's business type to help the user quickly understand the business handling process and key information.

[0010] Furthermore, the content generation module utilizes dynamic data and generation algorithms to generate dynamic policy interpretation charts that meet the needs of different users, making policy information more intuitive and easy to understand.

[0011] Furthermore, the method also includes: after generating personalized interactive content, optimizing and adjusting the content according to user feedback to improve the accuracy and effectiveness of the content.

[0012] Furthermore, when generating personalized interactive content, the AIGC engine adapts to different interactive scenarios, including mobile and PC terminals, to ensure the best effect of content presentation.

[0013] Furthermore, the user behavior data is collected through multiple channels, including user operations on web pages and behavior records within applications.

[0014] Furthermore, the method for generating personalized interactive content based on real-time data is used in a variety of application scenarios, including e-commerce, government services, and financial services.

[0015] On the other hand, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for generating personalized interactive content based on real-time data.

[0016] The beneficial effects of the technical solution of the present invention are: 1. The method for generating personalized interactive content based on real-time data, described in this invention, can automatically generate personalized interactive content based on real-time user behavior data by integrating an AIGC engine. This method offers significant advantages. First, by analyzing information such as user browsing history and business type, it can more accurately understand user needs and interests, providing users with more personalized and precise recommendations and guidance. For example, in e-commerce scenarios, product recommendation phrases tailored to the user's current browsing history and past purchase behavior can be generated, improving the user's purchase conversion rate. Second, in the field of government services, the method automatically generates service guide summaries and dynamic policy interpretation charts, enabling users to quickly understand business processes and policy information, reducing the time cost of obtaining information and improving the efficiency and satisfaction of government services. Third, the method can adapt to different interaction scenarios, ensuring that content is optimally presented to users on various terminal devices and platforms, improving the consistency and fluidity of the user experience. Finally, it is applicable to a variety of application scenarios, has broad promotion value and application prospects, and can provide strong support for enterprises and institutions in various fields.

[0017] 2. The computer-readable storage medium of the present invention can enable the guidance system module to cooperate and thus implement the above method, and the computer-readable storage medium of the present invention also effectively improves the operability of the above method. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 4 is a flow chart of the method for generating personalized interactive content based on real-time data according to Example 1 of the present invention. DETAILED DESCRIPTION

[0020] The preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more precise definition of the protection scope of the present invention.

[0021] In the description of the present invention, it should be noted that the embodiments described in the present invention are only part of the embodiments of the present invention, rather than all of the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work are within the scope of protection of the present invention.

[0022] The terms "first," "second," and the like in the specification and claims herein and in the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments of the present invention described herein can be implemented in orders other than those illustrated or described herein. In addition, the terms "including" and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or device comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such process, method, product, or device.

[0023] Example 1: This example provides a method for generating personalized interactive content based on real-time data. Figure 1 As shown, the following steps are included: S100, integrating an AIGC engine and calling the AIGC engine to automatically generate personalized interactive content based on user behavior data; The user behavior data at least includes the user's browsing history and business type.

[0024] Furthermore, the AIGC engine includes a content generation module that can generate personalized content based on user behavior data, including product recommendation scripts, service guide summaries and dynamic policy interpretation charts.

[0025] Furthermore, the content generation module determines the user's interest preferences by analyzing the user's browsing history, and based on this, generates product recommendation words that match the user's interest preferences.

[0026] Furthermore, the content generation module automatically generates a corresponding service guide summary according to the user's business type to help the user quickly understand the business handling process and key information.

[0027] Furthermore, the content generation module utilizes dynamic data and generation algorithms to generate dynamic policy interpretation charts that meet the needs of different users, making policy information more intuitive and easy to understand.

[0028] S200: After generating personalized interactive content, optimize and adjust the content based on user feedback to improve the accuracy and effectiveness of the content.

[0029] Furthermore, when generating personalized interactive content, the AIGC engine adapts to different interactive scenarios, including mobile and PC terminals, to ensure the best effect of content presentation.

[0030] Furthermore, the user behavior data is collected through multiple channels, including user operations on web pages and behavior records within applications.

[0031] Furthermore, the method for generating personalized interactive content based on real-time data is used in a variety of application scenarios, including e-commerce, government services, and financial services.

[0032] It should be noted that the examples herein are only for explaining the present invention and are not intended to limit the scope of protection of the present invention. Example 2

[0033] This embodiment provides a computer-readable storage medium, including: The storage medium is used to store computer software instructions used to implement the personalized interactive content generation method based on real-time data described in the above-mentioned embodiment 1, which includes a program for executing the above-mentioned program set for the personalized interactive content generation method based on real-time data, and implements the personalized interactive content generation method based on real-time data described in the above-mentioned embodiment 1 by executing the built-in executable program.

[0034] In addition, the computer-readable storage medium of this embodiment may adopt any combination of one or more computer-readable storage media, wherein the computer-readable storage medium includes electrical, optical, electromagnetic, infrared or semiconductor systems, devices or components, or any combination thereof.

[0035] It should be understood that in the various embodiments of this document, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this document.

[0036] It should also be understood that in the embodiments herein, the term "and / or" merely describes an association between associated objects, indicating that three possible relationships exist. For example, "A and / or B" could represent: A alone, A and B simultaneously, or B alone. Furthermore, the character " / " in this document generally indicates an "or" relationship between the associated objects.

[0037] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this document.

[0038] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0039] In the several embodiments provided herein, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices, or units, or can be an electrical, mechanical, or other form of connection.

[0040] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments herein.

[0041] In addition, the functional units in the various embodiments herein may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0042] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this article is essentially or the part that contributes to the existing technology, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of this article. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0043] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention's description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for generating personalized interactive content based on real-time data, characterized in that: The following steps are involved: Integrate an AIGC engine and call the AIGC engine to automatically generate personalized interactive content based on user behavior data; The user behavior data at least includes the user's browsing history and business type.

2. The method for generating personalized interactive content based on real-time data according to claim 1, characterized in that: The AIGC engine includes a content generation module that can generate personalized content based on user behavior data, including product recommendation scripts, service guide summaries and dynamic policy interpretation charts.

3. The method for generating personalized interactive content based on real-time data according to claim 2, characterized in that: The content generation module determines the user's interest preferences by analyzing the user's browsing history, and based on this, generates product recommendation words that match the user's interest preferences.

4. The method for generating personalized interactive content based on real-time data according to claim 2, characterized in that: The content generation module automatically generates a corresponding service guide summary according to the user's business type to help the user quickly understand the business handling process and key information.

5. The method for generating personalized interactive content based on real-time data according to claim 2, characterized in that: The content generation module uses dynamic data and generation algorithms to generate dynamic policy interpretation charts that meet the needs of different users, making policy information more intuitive and easy to understand.

6. The method for generating personalized interactive content based on real-time data according to claim 1, characterized in that: The method further includes: after generating the personalized interactive content, optimizing and adjusting the content according to user feedback to improve the accuracy and effectiveness of the content.

7. The method for generating personalized interactive content based on real-time data according to claim 1, characterized in that: When generating personalized interactive content, the AIGC engine adapts to different interactive scenarios, including mobile and PC, to ensure the best content presentation effect.

8. The method for generating personalized interactive content based on real-time data according to claim 1, characterized in that: The user behavior data is collected through multiple channels, including user operations on web pages and behavior records within applications.

9. The method for generating personalized interactive content based on real-time data according to claim 1, characterized in that: The method for generating personalized interactive content based on real-time data is used in a variety of application scenarios, including e-commerce, government services, and financial services.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for generating personalized interactive content based on real-time data as described in any one of claims 1 to 9.

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