Information recommendation method and system for self-service terminal

Abstract

The invention discloses an information recommendation method and system for a self-service terminal, and the system comprises the steps: collecting the related information of a user through a plurality of interaction modes of the self-service terminal and a sensor, and enabling the related information to comprise but not limited to the input content, operation track and residence time of the user on an interface; the user voice instruction and the face image information are collected by means of a camera and a microphone; performing deep processing and analysis on the acquired user information, extracting vectors capable of representing user features, identifying user service demand keywords from input contents and voice instructions, analyzing user interests and preferences from operation tracks and stay time, and acquiring age and gender feature information of users from facial images by using an image identification technology; according to the method, the user features and requirements can be accurately obtained, accurate matching of the service information and the user requirements is achieved, the service information searching efficiency of the user is greatly improved through a personalized page generation mode, and the information obtaining cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of self-service terminals, and in particular to an information push method and system for self-service terminals. Background Art

[0002] In modern society, self-service terminals are widely used in various fields, such as banking, telecommunications, shopping malls, and airports, providing convenient services to users. However, current self-service terminals present some problems with information display. Existing self-service terminals often use fixed page layouts and information presentation methods, failing to provide personalized information recommendations based on users' real-time needs and characteristics. This results in a large amount of business information being displayed uniformly on the page, requiring users to spend a long time searching for the information they are interested in. This reduces the effectiveness of information display, affects the user experience, and hinders the efficiency of self-service terminal business promotion. Summary of the Invention

[0003] The object of the present invention is to provide an information recommendation method and system for a self-service terminal in response to the above-mentioned problems in the prior art, thereby solving all or one of the above-mentioned problems in the prior art.

[0004] 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 an information recommendation method for a self-service terminal, comprising: Collecting user-related information through various interactive methods and sensors of the self-service terminal, including but not limited to user input content, operation trajectory, dwell time on the interface, and user voice commands and facial image information collected by cameras and microphones; Perform in-depth processing and analysis on collected user information, extract vectors that can represent user characteristics, identify user business demand keywords from input content and voice commands, analyze user interests and preferences from operation trajectories and dwell time, and use image recognition technology to obtain user age and gender characteristics from facial images; Based on the extracted user feature vectors, combined with the user models and algorithms pre-stored in the database, a dynamic user profile is created. This user profile includes the user's basic information, business demand tendencies, operating habits, and preference tags, and can be updated in real time as the user interacts with it. For all types of business information built into the self-service terminal, pre-classify and label them, match user profiles with business information labels, and sort the business information based on the degree of matching; According to the information matching and sorting results, the most relevant business information is selected from the business information database. Based on the preset page layout rules and visual design principles, a personalized self-service terminal page is generated for the user, highlighting key content and adopting a display style that suits the user's preferences. Track user interaction behavior on personalized pages, including click counts and query depth, and use this as feedback data to optimize and adjust recommendation algorithms and page generation strategies.

[0005] As an improved solution, the multiple interaction modes include: touch input, gesture recognition, voice interaction and image recognition.

[0006] As an improved solution, the sensor assembly includes at least: a camera, a microphone, a light sensor and an acceleration sensor.

[0007] On the other hand, the present invention also provides an information recommendation system for a self-service terminal, comprising: Collection module: used to collect user information, including input devices and sensor components installed on the self-service terminal, used to capture user interaction information and status information; Analysis module: used to extract features and analyze user information and build user portraits. It includes a data processing algorithm library and a feature extraction algorithm library, and can conduct in-depth mining of the collected complex information. Matching module: used for information matching and recommendation, pre-stores a tag library of business information, and performs matching calculations based on user profiles and tags; Generation module: used to generate personalized pages based on matching results. It includes a page template library and rendering engine, and can quickly generate dynamic and visual self-service terminal pages based on user needs. Optimization module: used to track user interaction behavior data and optimize the entire information recommendation process based on feedback data to improve the accuracy of recommendations and the effectiveness of pages.

[0008] As an improved solution, the acquisition module further includes: The data encryption unit is used to perform real-time encryption processing on the collected user information.

[0009] As an improved solution, the analysis module is further used to dynamically adjust the parameter weights of the user portrait according to different scenarios and business types when constructing the user portrait.

[0010] As an improved solution, the matching module is further configured to take into account the user's geographical location and time factors when calculating the matching degree.

[0011] As an improved solution, the page template library of the generation module stores at least three page templates of different styles, supporting automatic switching of page display styles according to different user preferences.

[0012] As an improved solution, the optimization module is further used to optimize and adjust the recommendation algorithm and page generation strategy through a machine learning algorithm.

[0013] As an improved solution, the self-service terminal includes: a bank self-service terminal, a telecommunications self-service terminal, a shopping mall self-service terminal or an airport self-service terminal.

[0014] The beneficial effects of the technical solution of the present invention are: the present invention can accurately obtain user characteristics and needs, realize accurate matching of business information with user needs, and the personalized page generation method greatly improves the efficiency of users in finding business information and reduces the cost of information acquisition; through the feedback mechanism, the recommendation effect is continuously optimized, the user experience is improved while also enhancing the attractiveness and competitiveness of the self-service terminal business, which has a positive driving effect on the promotion and application of related businesses. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] 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.

[0016] Figure 1 1 is a flow chart of the information recommendation method for a self-service terminal according to Embodiment 1 of the present invention; Figure 2 2 is a schematic diagram of the architecture of the information recommendation system for self-service terminals according to Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] 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.

[0019] 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. Example 1

[0020] This embodiment provides an information recommendation method for a self-service terminal. Figure 1 Shown, including: Collecting user-related information through various interactive methods and sensors of the self-service terminal, including but not limited to user input content, operation trajectory, dwell time on the interface, and user voice commands and facial image information collected by cameras and microphones; Perform in-depth processing and analysis on collected user information, extract vectors that can represent user characteristics, identify user business demand keywords from input content and voice commands, analyze user interests and preferences from operation trajectories and dwell time, and use image recognition technology to obtain user age and gender characteristics from facial images; Based on the extracted user feature vectors, combined with the user models and algorithms pre-stored in the database, a dynamic user profile is created. This user profile includes the user's basic information, business demand tendencies, operating habits, and preference tags, and can be updated in real time as the user interacts with it. For all types of business information built into the self-service terminal, pre-classify and label them, match user profiles with business information labels, and sort the business information based on the degree of matching; According to the information matching and sorting results, the most relevant business information is selected from the business information database. Based on the preset page layout rules and visual design principles, a personalized self-service terminal page is generated for the user, highlighting key content and adopting a display style that suits the user's preferences. Track user interaction behavior on personalized pages, including click counts and query depth, and use this as feedback data to optimize and adjust recommendation algorithms and page generation strategies.

[0021] As an improved solution, the multiple interaction modes include: touch input, gesture recognition, voice interaction and image recognition.

[0022] As an improved solution, the sensor assembly includes at least: a camera, a microphone, a light sensor and an acceleration sensor.

[0023] 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

[0024] This embodiment is based on the same inventive concept as the information recommendation method for a self-service terminal described in Example 1, and provides an information recommendation system for a self-service terminal, such as Figure 2 Shown, including: Collection module: used to collect user information, including input devices and sensor components installed on the self-service terminal, used to capture user interaction information and status information; Analysis module: used to extract features and analyze user information and build user portraits. It includes a data processing algorithm library and a feature extraction algorithm library, and can conduct in-depth mining of the collected complex information. Matching module: used for information matching and recommendation, pre-stores a tag library of business information, and performs matching calculations based on user profiles and tags; Generation module: used to generate personalized pages based on matching results. It includes a page template library and rendering engine, and can quickly generate dynamic and visual self-service terminal pages based on user needs. Optimization module: used to track user interaction behavior data and optimize the entire information recommendation process based on feedback data to improve the accuracy of recommendations and the effectiveness of pages.

[0025] As an improved solution, the acquisition module further includes: The data encryption unit is used to perform real-time encryption processing on the collected user information.

[0026] As an improved solution, the analysis module is further used to dynamically adjust the parameter weights of the user portrait according to different scenarios and business types when constructing the user portrait.

[0027] As an improved solution, the matching module is further configured to take into account the user's geographical location and time factors when calculating the matching degree.

[0028] As an improved solution, the page template library of the generation module stores at least three page templates of different styles, supporting automatic switching of page display styles according to different user preferences.

[0029] As an improved solution, the optimization module is further used to optimize and adjust the recommendation algorithm and page generation strategy through a machine learning algorithm.

[0030] As an improved solution, the self-service terminal includes: a bank self-service terminal, a telecommunications self-service terminal, a shopping mall self-service terminal or an airport self-service terminal.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] Those skilled in the art will clearly understand that, for the sake of convenience and brevity of description, the specific logical process of the method described above can refer to the corresponding working processes of the systems, devices and units in the aforementioned method embodiments, and will not be repeated here.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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 structures or equivalent process changes made using the contents of the present invention's description and drawings, or directly or indirectly applied to other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An information recommendation method for a self-service terminal, characterized in that: The following steps are involved: Collecting user-related information through various interactive methods and sensors of the self-service terminal, including but not limited to user input content, operation trajectory, dwell time on the interface, and user voice commands and facial image information collected by cameras and microphones; Perform in-depth processing and analysis on collected user information to extract vectors that can represent user characteristics, identify keywords of user business needs from input content and voice commands, analyze user interests and preferences from operation trajectories and dwell time, and obtain user age and gender characteristics from facial images using image recognition technology; Based on the extracted user feature vectors, combined with the user models and algorithms pre-stored in the database, a dynamic user profile is created. This user profile includes the user's basic information, business demand tendencies, operating habits, and preference tags, and can be updated in real time as the user interacts with it. For all types of business information built into the self-service terminal, pre-classify and label them, match user profiles with business information labels, and sort the business information based on the degree of matching; According to the information matching and sorting results, the most relevant business information is selected from the business information database. Based on the preset page layout rules and visual design principles, a personalized self-service terminal page is generated for the user, highlighting key content and adopting a display style that suits the user's preferences. Track user interaction behavior on personalized pages, including click counts and query depth, and use this as feedback data to optimize and adjust recommendation algorithms and page generation strategies.

2. The information recommendation method for a self-service terminal according to claim 1, characterized in that: The multiple interaction modes include: touch input, gesture recognition, voice interaction and image recognition.

3. The information recommendation method for a self-service terminal according to claim 1, characterized in that: The sensor assembly includes at least: a camera, a microphone, a light sensor and an acceleration sensor.

4. An information recommendation system for a self-service terminal, characterized in that: include: Collection module: used to collect user information, including input devices and sensor components installed on the self-service terminal, used to capture user interaction information and status information; Analysis module: used to extract features and analyze user information and build user portraits. It includes a data processing algorithm library and a feature extraction algorithm library, and can conduct in-depth mining of the collected complex information. Matching module: used for information matching and recommendation, pre-stores a tag library of business information, and performs matching calculations based on user profiles and tags; Generation module: used to generate personalized pages based on matching results. It includes a page template library and rendering engine, and can quickly generate dynamic and visual self-service terminal pages based on user needs. Optimization module: used to track user interaction behavior data and optimize the entire information recommendation process based on feedback data to improve the accuracy of recommendations and the effectiveness of pages.

5. The information recommendation system for self-service terminals according to claim 4, characterized in that: The acquisition module also includes: The data encryption unit is used to perform real-time encryption processing on the collected user information.

6. The information recommendation system for self-service terminals according to claim 4, characterized in that: The analysis module is also used to dynamically adjust the parameter weights of the user portrait according to different scenarios and business types when constructing the user portrait.

7. The information recommendation system for self-service terminals according to claim 4, characterized in that: The matching module is further configured to take into account the user's geographical location and time factors when calculating the matching degree.

8. The information recommendation system for a self-service terminal according to claim 4, characterized in that: The page template library of the generation module stores at least three page templates of different styles, and supports automatic switching of page display styles according to different user preferences.

9. The information recommendation system for a self-service terminal according to claim 4, characterized in that: The optimization module is also used to optimize and adjust the recommendation algorithm and page generation strategy through a machine learning algorithm.

10. The information recommendation system for self-service terminals according to claim 9, characterized in that: The self-service terminal includes: a bank self-service terminal, a telecommunications self-service terminal, a shopping mall self-service terminal or an airport self-service terminal.

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