New energy automobile intelligent configuration recommendation method and system based on ChatGPT

Abstract

The invention discloses a new energy automobile intelligent configuration recommendation method and system based on ChatGPT, and the method comprises the steps: obtaining user information when a user carries out the vehicle purchase, and the user information at least comprises the preference information and budget information of the user; calling a preset ChatGPT model, extracting and analyzing user features according to the preference information and the budget information, and generating a user portrait; through the ChatGPT model, according to the user portrait, configuration matching and sorting are carried out on the on-sale vehicle, a configuration recommendation scheme is generated, and the configuration recommendation scheme at least comprises a vehicle model, a vehicle configuration and a vehicle color; generating a corresponding quotation list according to the configuration recommendation scheme through the ChatGPT model; and generating a car purchase guide through the ChatGPT model. The technical problem that in the prior art, when a user selects and purchases a vehicle, a large amount of time and energy need to be consumed for selecting and matching step by step, and the vehicle purchase experience of the user is general is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to a method and system for intelligent configuration recommendation of new energy vehicles based on ChatGPT. Background Art

[0002] New energy vehicles refer to vehicles that adopt new power systems and use new energy as power partially or entirely, mainly including pure electric vehicles, hybrid vehicles, fuel cell vehicles, etc.

[0003] New energy vehicles have the advantages of energy conservation, emission reduction, environmental friendliness, and technological innovation, and are an important direction for promoting the transformation and upgrading of the automotive industry and achieving low-carbon development.

[0004] In the prior art, when purchasing a vehicle, it is usually based on the options of the vehicle purchase platform, that is, the user can gradually make selections to output the required vehicle configuration, and finally present an image of the selected vehicle. However, when the user purchases a vehicle, there are many factors to consider. It is possible that after one selection, other factors are considered and the previous selections need to be modified. Therefore, when the user purchases a vehicle, gradually making selections requires a lot of time and energy, resulting in an average car-buying experience for the user. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a method and system for intelligent configuration recommendation of new energy vehicles based on ChatGPT, aiming to solve the technical problem that when the user purchases a vehicle in the prior art, gradually making selections requires a lot of time and energy, resulting in an average car-buying experience for the user.

[0006] The first aspect of the present invention provides a method for intelligent configuration recommendation of new energy vehicles based on ChatGPT, and the method includes: Obtain user information when the user purchases a vehicle, and the user information at least includes the user's preference information and budget information; Call a preset ChatGPT model, extract and analyze user characteristics according to the preference information and the budget information to generate a user portrait; Through the ChatGPT model, perform configuration matching and sorting on the vehicles for sale according to the user portrait to generate a configuration recommendation plan, and the configuration recommendation plan at least includes vehicle models, vehicle configurations, and vehicle colors; Generate a corresponding quotation list through the ChatGPT model according to the configuration recommendation plan; And generate a car purchase guide through the ChatGPT model.

[0007] According to one aspect of the above technical solution, the steps of calling a preset ChatGPT model to extract and analyze user characteristics based on the preference information and the budget information to generate a user profile specifically include: Call a preset ChatGPT model; Identify multiple preference features in the preference information according to the ChatGPT model, sort the multiple preference features according to the big data of car purchase preferences, and determine at least one key preference feature corresponding to the user, and at least one or more secondary key preference features; Determine the budget range characteristics of the user according to the budget information; Generate a user profile for the user to select a vehicle according to the key preference features, secondary key preference features and the budget range characteristics.

[0008] According to one aspect of the above technical solution, the steps of identifying multiple preference features in the preference information according to the ChatGPT model, sorting the multiple preference features according to the big data of car purchase preferences, and determining at least one key preference feature corresponding to the user, and at least one or more secondary key preference features specifically include: Identify multiple preference features in the preference information according to the ChatGPT model; Sort the multiple preference features according to the weight distribution of car purchase influencing factors in the big data of car purchase preferences; Determine at least one key preference feature corresponding to the user, and at least one or more secondary key preference features.

[0009] According to one aspect of the above technical solution, the steps of performing configuration matching and sorting on the vehicles for sale according to the user profile through the ChatGPT model to generate a configuration recommendation plan, where the configuration recommendation plan at least includes vehicle model, vehicle configuration and vehicle color specifically include: Perform configuration matching and sorting on the vehicles for sale according to the user profile through the ChatGPT model; Generate multiple sets of independent configuration recommendation plans according to the sorting results, and each set of the configuration recommendation plans includes vehicle model, vehicle configuration and vehicle color.

[0010] According to one aspect of the above technical solution, the steps of performing configuration matching and sorting on the vehicles for sale according to the user profile through the ChatGPT model specifically include: Extract the key preference features, secondary key preference features and budget range characteristics in the user profile; Match and sort the unique identification codes of the vehicles for sale according to the key preference features, the secondary key preference features and the budget range characteristics.

[0011] According to one aspect of the above technical solution, the method further includes: Receiving a recommended rating report feedback by a user, and generating rating data based on the recommended rating report; Importing the rating data into the ChatGPT model to optimize the ChatGPT model.

[0012] The second aspect of the present invention lies in providing a new energy vehicle intelligent configuration recommendation system based on ChatGPT, the system includes: An information acquisition module, configured to acquire user information when a user purchases a vehicle, where the user information at least includes the user's preference information and budget information; A portrait generation module, configured to call a preset ChatGPT model, extract and analyze user characteristics according to the preference information and the budget information, and generate a user portrait; A configuration recommendation module, configured to perform configuration matching and sorting on vehicles for sale according to the user portrait through the ChatGPT model, and generate a configuration recommendation plan, where the configuration recommendation plan at least includes a vehicle model, vehicle configuration, and vehicle color; A quotation output module, configured to generate a corresponding quotation list according to the configuration recommendation plan through the ChatGPT model; A guide output module, configured to generate a car purchase guide through the ChatGPT model.

[0013] 8. The new energy vehicle intelligent configuration recommendation system based on ChatGPT according to claim 7, wherein the portrait generation module is specifically configured to: Call a preset ChatGPT model; Identify multiple preference features in the preference information according to the ChatGPT model, perform feature sorting on the multiple preference features according to big data of car purchase preferences, determine at least one key preference feature corresponding to the user, and at least one or more secondary key preference features; Determine a budget range feature of the user according to the budget information; Generate a user portrait for the user to purchase a vehicle according to the key preference feature, secondary key preference feature, and the budget range feature.

[0014] The third aspect of the present invention lies in providing a computer-readable storage medium, on which computer instructions are stored, and when the instructions are executed by a processor, the steps of the method described in the above technical solution are implemented.

[0015] The fourth aspect of the present invention is to provide a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps of the method described in the above technical solution.

[0016] Compared with the prior art, the beneficial effects of adopting the new energy vehicle intelligent configuration recommendation method and system based on ChatGPT shown in the present invention are as follows: When a user purchases a vehicle, by obtaining user information, which at least includes preference information and budget information, then calling the ChatGPT model to utilize its powerful logical processing ability to extract and analyze the preference information and budget information, generating a corresponding user profile, and then based on the ChatGPT model, matching and sorting the vehicles on sale according to the user profile, generating a configuration recommendation plan including vehicle models, vehicle configurations, and vehicle colors, and successively generating a quotation list and a car purchase guide. Then, this embodiment can reasonably recommend vehicle configurations according to the obtained user information, ensure that the recommended vehicles basically meet the user's needs, effectively reduce the user's time and energy investment in purchasing a car, and enhance the user's car purchase experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and / or additional aspects and advantages of the present invention will become obvious and easy to understand from the description of the embodiments in conjunction with the following drawings, where: Figure 1 is a flowchart showing the method for intelligent configuration recommendation of a new energy vehicle based on ChatGPT in an embodiment of the present invention; Figure 2 is a structural block diagram showing the system for intelligent configuration recommendation of a new energy vehicle based on ChatGPT in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] To make the objectives, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention is provided in conjunction with the drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0019] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there can also be an intermediate element. When an element is considered to be "connected" to another element, it can be directly connected to the other element or there may be an intermediate element at the same time. The terms "vertical", "horizontal", "left", "right", and similar expressions used herein are for illustrative purposes only.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this invention belongs. The terms used in the specification of this invention are for the purpose of describing specific embodiments only and are not intended to limit the invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0021] Embodiment 1 Please refer to Figure 1 , the first embodiment of the present invention provides a method for intelligent configuration recommendation of new energy vehicles based on ChatGPT. The method includes steps S10 - S50: Step S10, obtain user information when the user is purchasing a vehicle. The user information at least includes the user's preference information and budget information.

[0022] First of all, it should be noted that when the user is purchasing a vehicle, they usually need to go to a vehicle sales outlet for vehicle selection, such as a car 4S store, a vehicle exhibition hall in a shopping mall, etc. Then, in this embodiment, after the user goes to the vehicle sales outlet, various information during the vehicle selection process through the new energy vehicle sales platform is obtained, that is, user information. Among the user information, at least the user's preference information and budget information are included to understand the user's preferences or hobbies, as well as the vehicle purchase budget and other situations based on the user information.

[0023] In this embodiment, the purpose of obtaining user information is to perform online data processing and processing based on the user information, clarify the user's needs as much as possible, so as to more accurately recommend vehicle configurations that meet both the preference information and the budget information to the user, reduce the user's vehicle purchase troubles, and the user information will not be stored.

[0024] Specifically, the process of obtaining user information shown in this embodiment includes collecting information such as the user's needs, hobbies, and budget through questionnaires, conversations, evaluations, etc., so as to generate user information for online data processing and processing based on the user information.

[0025] Step S20, call the preset ChatGPT model, extract and analyze the user characteristics according to the preference information and the budget information, and generate a user portrait.

[0026] In this embodiment, after obtaining the user information, the preset ChatGPT model will be called to extract and analyze the user characteristics of its preference information and budget information, so as to clarify the user's needs.

[0027] Specifically, after obtaining the user information, a preset ChatGPT model will be called. The ChatGPT model is implanted in the new energy vehicle sales platform. The ChatGPT model will identify multiple preference features of the preference information in the pre-obtained user information. The preference features include preference features such as vehicle model preference, power preference, exterior preference, interior preference, and technology configuration preference, etc. Then, according to the big data of car purchase preferences, feature sorting is performed on the multiple preference features in the preference information to determine at least one key preference feature corresponding to the user, and at least one or more secondary key preference features; then, according to the budget information in the user information, the budget interval feature of the user is determined; finally, based on the key preference features, secondary key preference features, and budget interval features obtained through pre-analysis, a user portrait for the user to select a vehicle is generated.

[0028] For example, if the key preference feature is the power preference feature, and the secondary key preference features are the exterior preference feature and the technology configuration preference feature, then vehicles with the best power, best exterior, and best technology configuration will be recommended as much as possible under the condition of meeting the budget interval feature.

[0029] For example, the user's car purchase budget is 250,000 - 300,000 yuan. By analyzing the preference features in the user information, it can be clarified that the user pays more attention to the power, exterior, and technology configuration of the vehicle, and then a user portrait corresponding to the user's economic ability and preferences is generated.

[0030] Step S30, through the ChatGPT model, perform configuration matching and sorting on the vehicles for sale according to the user portrait, and generate a configuration recommendation plan. The configuration recommendation plan includes at least the vehicle model, vehicle configuration, and vehicle color. It should be noted here that there are various vehicle configurations. Usually, the same vehicle is divided into three power levels: high, medium, and low, that is, there are differences in power output at high, medium, and low levels for the vehicle, and each power level corresponding to the vehicle model can be further divided into multiple configuration packages. In addition, personalized options are provided, and the available configuration combination methods are numerous. Especially for the newly emerging new energy vehicles in recent years, the available configuration combination methods are even more.

[0031] In this embodiment, through the ChatGPT model, according to the pre-generated user portrait, configuration matching and sorting will be performed on the vehicles for sale at this sales outlet, at least one vehicle model that matches the user portrait will be found, and a configuration recommendation plan will be generated. Of course, more vehicle models can also be found, multiple sets of configuration recommendation plans can be generated, and the multiple sets of configuration recommendation plans can be sorted.

[0032] Specifically, the configuration matching and sorting of vehicles for sale are based on the similarity comparison between the user characteristics in the user portrait and the vehicles, that is, the preference characteristics and budget range characteristics are compared with the vehicles for similarity, and the comparison results are output, so as to output the best configuration recommendation plan according to multiple comparison results between the vehicles for sale and the user portrait.

[0033] Among them, in the configuration recommendation plan, including the most distinctive differentiating features of the vehicle such as vehicle model, vehicle configuration, and vehicle color, the configuration recommendation plan can be given to the user for purchase.

[0034] In this embodiment, the configuration recommendation plan is provided to the user for viewing and purchase in the form of a display interface, for example, on a computer device or a mobile terminal.

[0035] Step S40, generate a corresponding quotation list according to the configuration recommendation plan through the ChatGPT model; In this embodiment, if the user can accept the configuration recommendation plan calculated by the system, the signature of the user in the form of an electronic signature will be obtained, which is equivalent to signing a car purchase contract or clarifying the car purchase intention, so as to lock the order of the vehicle and prevent it from being purchased by other users.

[0036] Then, through the ChatGPT model, calculate the necessary expenses such as the purchase price and taxes of the vehicle according to the selected vehicle model, power, exterior, interior, technology configuration, etc. in the configuration recommendation plan, generate a quotation list corresponding to the configuration recommendation plan, and provide it to the user for viewing.

[0037] Similarly, after the user views the quotation list and makes a determination, the signature of the user in the form of an electronic signature will be obtained.

[0038] Step S50, generate a car purchase guide through the ChatGPT model.

[0039] In this embodiment, after the user clarifies the configuration recommendation plan and the quotation list, in order to facilitate the user to purchase the vehicle, a car purchase guide will also be generated based on the ChatGPT model. The car purchase guide is provided in the form of pictures, which records a series of processes of car purchase, such as the tax payment time, license plate selection time, vehicle pick-up time, etc., so that the user can be more clear about the whole process of car purchase.

[0040] Compared with the prior art, the beneficial effects of adopting the new energy vehicle intelligent configuration recommendation method based on ChatGPT shown in this embodiment are as follows: When a user is purchasing a vehicle, by obtaining user information, which at least includes preference information and budget information, and then calling the ChatGPT model to use its powerful logical processing ability to extract and analyze the preference information and budget information, a user portrait corresponding thereto is generated. Then, based on the ChatGPT model, the vehicles on sale are matched and sorted according to the user portrait, a configuration recommendation plan including vehicle models, vehicle configurations, and vehicle colors is generated, and a quotation list and a car purchase guide are generated in sequence. Then, this embodiment can reasonably recommend vehicle configurations according to the obtained user information, can ensure that the recommended vehicles basically meet the user's needs, can effectively reduce the user's time and energy investment in car purchase, and enhance the user's car purchase experience.

[0041] Embodiment 2 The second embodiment of the present invention also provides a new energy vehicle intelligent configuration recommendation method based on ChatGPT. The recommendation method shown in this embodiment is basically similar to the recommendation method shown in the first embodiment. The differences are as follows: In this embodiment, the steps of identifying multiple preference features in the preference information according to the ChatGPT model, performing feature sorting on the multiple preference features according to the big data of car purchase preferences, and determining at least one key preference feature corresponding to the user, and at least one or more secondary key preference features specifically include: Identifying multiple preference features in the preference information according to the ChatGPT model; Performing feature sorting on the multiple preference features according to the weight distribution of car purchase influencing factors in the big data of car purchase preferences; Determining at least one key preference feature corresponding to the user, and at least one or more secondary key preference features.

[0042] In this embodiment, the steps of performing configuration matching and sorting on the vehicles on sale according to the user portrait through the ChatGPT model, and generating a configuration recommendation plan, where the configuration recommendation plan at least includes vehicle models, vehicle configurations, and vehicle colors specifically include: Performing configuration matching and sorting on the vehicles on sale according to the user portrait through the ChatGPT model; Generating multiple sets of independent configuration recommendation plans according to the sorting results, and each set of the configuration recommendation plans includes vehicle models, vehicle configurations, and vehicle colors.

[0043] Among them, the steps of performing configuration matching and sorting on the vehicles on sale according to the user portrait through the ChatGPT model specifically include: Extracting the key preference features, secondary key preference features, and budget range features in the user portrait; The unique identification codes of the vehicles on sale are matched and sorted by similarity according to the key preference feature, the sub-key preference feature and the budget range feature.

[0044] The recommendation method shown in this embodiment will determine the weight distribution of factors affecting vehicle purchase based on the vehicle purchase preference big data of other users, and sort the preference characteristics of users when purchasing vehicles. That is, the preference characteristics of users when purchasing vehicles are reasonably sorted in combination with the considerations of other users when purchasing vehicles, so as to eliminate obvious interference factors as much as possible, thereby clarifying the key preference characteristics and sub-key preference characteristics of users when purchasing vehicles, and recommending vehicles suitable for mass consumption and self-personalization to users.

[0045] Embodiment 3 The third embodiment of the present invention provides a new energy vehicle intelligent configuration recommendation method based on ChatGPT. The recommendation method shown in this embodiment is basically similar to the recommendation method shown in the first embodiment, except that: In this embodiment, after the configuration recommendation scheme is output through the ChatGPT model and the user confirms to buy the car, the method further includes: Receive a recommendation rating report from a user, and generate rating data based on the recommendation rating report; The scoring data is imported into the ChatGPT model to optimize the ChatGPT model.

[0046] The recommendation method shown in this embodiment, after outputting the configuration recommendation plan, generates user scoring data for vehicle configuration recommendations by receiving recommendation scoring reports from user feedback, and imports the scoring data into the ChatGPT model as training sample data for its strategy output, which can further optimize the analysis and decision-making capabilities of the ChatGPT model and make subsequent vehicle configuration recommendations more accurate.

[0047] Embodiment 4 See also Figure 2 The first embodiment of the present invention provides a new energy vehicle intelligent configuration recommendation system based on ChatGPT, the system comprising: an information acquisition module 10, a portrait generation module 20, a configuration recommendation module 30, a quotation output module 40 and a guide output module 50.

[0048] The information acquisition module 10 is used to acquire user information when the user is purchasing a vehicle, and the user information at least includes the user's preference information and budget information.

[0049] First of all, it should be noted that when users purchase vehicles, they usually need to go to vehicle sales outlets for vehicle selection, such as automotive 4S stores, vehicle exhibition halls in shopping malls, etc. In this embodiment, after the user goes to the vehicle sales outlet, various information during the vehicle selection process through the new energy vehicle sales platform is obtained, that is, user information. In the user information, at least the user's preference information and budget information are included, so as to understand the user's preferences or likes, as well as the vehicle purchase budget and other situations based on the user information.

[0050] In this embodiment, the purpose of obtaining user information is to perform online data processing and processing based on the user information, as clearly as possible to identify the user's needs, so as to more accurately recommend vehicle configurations that meet both the preference information and the budget information to the user, reducing the user's vehicle purchase troubles, and the user information will not be stored.

[0051] Specifically, the process of obtaining user information shown in this embodiment includes collecting information such as the user's needs, preferences, and budget through questionnaires, conversations, evaluations, etc., so as to generate user information, so as to perform online data processing and processing based on the user information.

[0052] The portrait generation module 20 calls a preset ChatGPT model, extracts and analyzes user characteristics according to the preference information and the budget information, and generates a user portrait.

[0053] In this embodiment, after obtaining the user information, the preference information and the budget information will be used to extract and analyze user characteristics by calling a preset ChatGPT model, so as to clarify the user's needs.

[0054] Specifically, after obtaining the user information, a preset ChatGPT model will be called. The ChatGPT model is implanted in the new energy vehicle sales platform. The ChatGPT model will identify multiple preference characteristics of the preference information in the previously obtained user information. The preference characteristics include preference characteristics such as vehicle type preference, power preference, exterior preference, interior preference, and technology configuration preference, etc. Then, according to the big data of vehicle purchase preferences, the multiple preference characteristics in the preference information are sorted by characteristics to determine at least one key preference characteristic corresponding to the user, and at least one or more secondary key preference characteristics; then, according to the budget information in the user information, the budget range characteristic of the user is determined; finally, according to the key preference characteristics, secondary key preference characteristics, and budget range characteristics obtained by pre-analysis, a user portrait for the user to purchase a vehicle is generated.

[0055] For example, if the key preference characteristic is the power preference characteristic, and the secondary key preference characteristics are the exterior preference characteristic and the technology configuration preference characteristic, then vehicles with the best power, the best exterior, and the best technology configuration will be recommended as much as possible under the condition of meeting the budget range characteristic.

[0056] For example, if the user's car purchase budget is 250,000 - 300,000 yuan, by analyzing the preference features in the user information, it can be determined that the user pays more attention to the power, exterior, and technological configuration of the vehicle. Then, a user portrait corresponding to the user's economic ability and preferences is generated.

[0057] The configuration recommendation module 30 is used to perform configuration matching and sorting on the vehicles for sale according to the user portrait through the ChatGPT model, and generate a configuration recommendation plan. The configuration recommendation plan at least includes vehicle model, vehicle configuration, and vehicle color. Here, it should be noted that there are various vehicle configurations. Usually, the same vehicle is divided into high, medium, and low power levels, that is, there are differences in the power output of the vehicle at high, medium, and low levels. Moreover, each vehicle model corresponding to each power level can be further divided into multiple configuration packages. In addition, personalized options are provided, and there are many available configuration combination methods. Especially for the emerging new energy vehicles in recent years, there are even more available configuration combination methods.

[0058] In this embodiment, through the ChatGPT model, according to the pre-generated user portrait, the vehicles for sale at this sales outlet will be configured, matched, and sorted. At least one vehicle model that matches the user portrait will be found, and a configuration recommendation plan will be generated. Of course, more vehicle models can also be found, multiple sets of configuration recommendation plans can be generated, and the multiple sets of configuration recommendation plans can be sorted.

[0059] Specifically, the configuration matching and sorting of the vehicles for sale are the results obtained by comparing the similarity between the user features in the user portrait and the vehicles, that is, comparing the preference features, budget range features with the vehicles, and outputting the comparison results, so as to output the best configuration recommendation plan according to the multiple comparison results between the vehicles for sale and the user portrait.

[0060] Among them, in the configuration recommendation plan, including vehicle model, vehicle configuration, and vehicle color, which are the most distinctive identification features of the vehicle, the configuration recommendation plan can be given to the user for purchase.

[0061] In this embodiment, the configuration recommendation plan is provided to the user for viewing and purchase in the form of a display interface, for example, on a computer device or a mobile terminal.

[0062] The quotation output module 40 is used to generate a corresponding quotation list according to the configuration recommendation plan through the ChatGPT model. In this embodiment, if the user can accept the configuration recommendation plan calculated by the system, the signature made by the user in the form of an electronic signature will be obtained, which is equivalent to signing a car purchase contract or clarifying the car purchase intention, so as to lock the order for the vehicle and prevent it from being purchased by other users.

[0063] Then, based on the vehicle model, power, exterior, interior, technology configuration, etc. selected in the configuration recommendation plan by the ChatGPT model, calculate the necessary expenses such as the purchase price and taxes of the vehicle, generate a quotation list corresponding to the configuration recommendation plan, and provide it to the user for review.

[0064] Similarly, after the user reviews the quotation list and makes a determination, the signature made by the user in the form of an electronic signature will be obtained.

[0065] A guide output module 50, which is used to generate a purchase guide through the ChatGPT model.

[0066] In this embodiment, after the user has clarified the configuration recommendation plan and the quotation list, in order to facilitate the user to purchase the vehicle, a purchase guide will also be generated based on the ChatGPT model. The purchase guide is provided in the form of a picture, which records a series of vehicle purchase processes, such as the tax payment time, license plate selection time, vehicle pickup time, etc., so that the user can be more clear about the entire vehicle purchase process.

[0067] Compared with the prior art, the beneficial effect of adopting the new energy vehicle intelligent configuration recommendation system based on ChatGPT shown in this embodiment is as follows: When the user selects a vehicle, by obtaining user information, the user information includes at least preference information and budget information. Then, call the ChatGPT model to use its powerful logical processing ability to extract and analyze the preference information and budget information, generate a corresponding user portrait. Then, based on the ChatGPT model, match and sort the vehicles for sale according to the user portrait, generate a configuration recommendation plan including vehicle models, vehicle configurations, and vehicle colors, and then generate a quotation list and a purchase guide in sequence. Then, this embodiment can reasonably recommend vehicle configurations according to the obtained user information, ensure that the recommended vehicles basically meet the user's needs, effectively reduce the user's time and energy investment in vehicle purchase, and enhance the user's vehicle purchase experience.

[0068] Embodiment Five The fifth embodiment of the present invention provides a computer-readable storage medium, on which computer instructions are stored, and when the instructions are executed by a processor, the steps of the method described in the above embodiment are implemented.

[0069] Embodiment Six The sixth embodiment of the present invention provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the method described in the above embodiment are implemented.

[0070] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0071] The above-described embodiments merely represent several implementation manners of the present invention. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the appended claims.

Claims

1. A method for intelligent configuration recommendation of new energy vehicles based on ChatGPT, characterized in that, The method includes: Obtaining user information when the user is purchasing a vehicle, where the user information at least includes the user's preference information and budget information; Invoking a preset ChatGPT model, extracting and analyzing user characteristics based on the preference information and the budget information to generate a user profile; Performing configuration matching and sorting on the vehicles for sale according to the user profile through the ChatGPT model to generate a configuration recommendation plan, where the configuration recommendation plan at least includes vehicle model, vehicle configuration, and vehicle color; Generating a corresponding quotation list according to the configuration recommendation plan through the ChatGPT model; And generating a car purchase guide through the ChatGPT model.

2. The method for recommending intelligent configurations of new energy vehicles based on ChatGPT according to claim 1, wherein, The step of invoking a preset ChatGPT model, extracting and analyzing user characteristics based on the preference information and the budget information to generate a user profile specifically includes: Invoking a preset ChatGPT model; Identifying multiple preference features in the preference information according to the ChatGPT model, sorting the multiple preference features according to the big data of car purchase preferences to determine at least one key preference feature corresponding to the user, and at least one or more secondary key preference features; Determining the budget range feature of the user according to the budget information; Generating a user profile for the user to purchase a vehicle according to the key preference feature, secondary key preference feature, and the budget range feature.

3. The method for recommending intelligent configurations of new energy vehicles based on ChatGPT according to claim 2, wherein, The step of identifying multiple preference features in the preference information according to the ChatGPT model, sorting the multiple preference features according to the big data of car purchase preferences to determine at least one key preference feature corresponding to the user, and at least one or more secondary key preference features specifically includes: Identifying multiple preference features in the preference information according to the ChatGPT model; Sorting the multiple preference features according to the weight distribution of car purchase influencing factors in the big data of car purchase preferences; Determining at least one key preference feature corresponding to the user, and at least one or more secondary key preference features.

4. The method for recommending intelligent configurations of new energy vehicles based on ChatGPT according to claim 1, wherein The step of performing configuration matching and sorting on the vehicles for sale according to the user profile through the ChatGPT model to generate a configuration recommendation plan, where the configuration recommendation plan at least includes vehicle model, vehicle configuration, and vehicle color specifically includes: Performing configuration matching and sorting on the vehicles for sale according to the user profile through the ChatGPT model; Generating multiple sets of independent configuration recommendation plans according to the sorting result, and each set of the configuration recommendation plans includes vehicle model, vehicle configuration, and vehicle color.

5. The method for recommending intelligent configurations of new energy vehicles based on ChatGPT according to claim 4, wherein, The step of performing configuration matching and sorting on the vehicles for sale according to the user profile through the ChatGPT model specifically includes: Extracting the key preference feature, secondary key preference feature, and budget range feature in the user profile; Matching and sorting the unique identification codes of the vehicles for sale according to the key preference feature, the secondary key preference feature, and the budget range feature.

6. The method for recommending intelligent configurations of new energy vehicles based on ChatGPT according to any one of claims 1-5, characterized in that, The method further includes: Receiving a recommended rating report feedback by the user, and generating rating data based on the recommended rating report; Import the scoring data into the ChatGPT model to optimize the ChatGPT model.

7. An intelligent configuration recommendation system for new energy vehicles based on ChatGPT, characterized in that, The system includes: An information acquisition module for acquiring user information when the user purchases a vehicle, where the user information at least includes the user's preference information and budget information; A portrait generation module for calling a preset ChatGPT model, extracting and analyzing user characteristics according to the preference information and the budget information, and generating a user portrait; A configuration recommendation module for performing configuration matching and sorting on the vehicles for sale according to the user portrait through the ChatGPT model, and generating a configuration recommendation plan, where the configuration recommendation plan at least includes vehicle models, vehicle configurations, and vehicle colors; A quotation output module for generating a corresponding quotation list according to the configuration recommendation plan through the ChatGPT model; A guide output module for generating a car purchase guide through the ChatGPT model.

8. The intelligent configuration recommendation system for new energy vehicles based on ChatGPT according to claim 7, characterized in that, Specifically, the portrait generation module is used to: Call a preset ChatGPT model; Identify multiple preference features in the preference information according to the ChatGPT model, perform feature sorting on the multiple preference features according to the big data of car purchase preferences, and determine at least one key preference feature corresponding to the user, as well as at least one or more secondary key preference features; Determine the budget range characteristics of the user according to the budget information; Generate a user portrait for the user to purchase a vehicle according to the key preference features, secondary key preference features, and the budget range characteristics.

9. A computer-readable storage medium having computer instructions stored thereon, characterized in that, When the instruction is executed by the processor, the steps of the method described in any one of claims 1-6 are implemented.

10. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, the steps of the method described in any one of claims 1-6 are implemented.

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