Intelligent interaction method and device for car purchaser, medium and equipment

Abstract

The invention provides an intelligent interaction method and device for car purchase users, a medium and equipment. The method comprises the steps of obtaining user information of potential users; on the basis of the user information of the potential users, selecting intentional users with car purchase intentions in the potential users; acquiring intentional car purchase information of the intentional user; generating interaction information sent to the intentional user based on the intentional car purchase information and the character feature information of the intentional user; wherein the statement architecture of the interaction information is determined according to the character feature information of the intentional user; generating reply information or executing an interaction action based on inquiry information of the intention user for the interaction information; according to the method, user information of potential users is acquired to select intentional users, corresponding interaction information is sent according to intentional car purchase information and character feature information of the intentional users, and reply information is automatically generated or interaction actions are executed after the intentional users send inquiry information, so that the potential intentional users are mined and accurate interaction is realized. Therefore, the interaction satisfaction degree of the user is improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent interaction technology for car purchases, and in particular to an intelligent interaction method, device, medium and equipment for car purchase users. Background Art

[0002] With rapid economic development and rapidly improving living standards, the demand for cars is growing. Traditionally, interested buyers need to research and identify a specific model before visiting a dealership for further confirmation. Automotive salespeople need to clearly identify the user's purchase intentions before engaging in targeted promotional activities. These salespeople can only determine this through communication with the user. However, due to a lack of understanding of the potential user's true needs, limited vehicle knowledge, and subjective factors, salespeople struggle to accurately analyze and predict the user's purchase intentions based on the information provided. Furthermore, users struggle to receive responses to their actual needs during consultations, making the purchase process more challenging, reducing their satisfaction, and potentially discouraging or even reducing their desire to buy. Therefore, a method is needed to identify potential car buyers and provide professional consultation responses tailored to their real needs. Summary of the Invention

[0003] In order to solve the above technical problems, the present application is proposed. The embodiments of the present application provide a method, apparatus, medium and device for intelligent interaction between car buyers and users.

[0004] According to one aspect of the present application, a smart interaction method for car-buying users is provided, comprising: obtaining user information of potential users; wherein the user information includes personal characteristic information and information on vehicle interests of the potential users; based on the user information of the potential users, selecting potential users with car-buying intentions from the potential users; obtaining the intended car-buying information of the potential users; wherein the intended car-buying information includes the intended purpose of car purchase, expected price range, and vehicle type of the intended users; based on the intended car-buying information and personal characteristic information of the intended users, generating interactive information to be sent to the intended users; wherein the sentence structure of the interactive information is determined according to the personal characteristic information of the intended users; and generating reply information or performing interactive actions based on the inquiry information of the intended users in response to the interactive information.

[0005] In one embodiment, obtaining the user information of the potential user includes searching for user information of users who comment on automobile-related websites to obtain the user information of the potential user.

[0006] In one embodiment, selecting the potential users with the intention of purchasing a vehicle from the potential users based on the user information of the potential users includes: identifying the vehicle purchase intention of the potential users based on the comment content of the potential users on automotive-related websites; and determining the potential users with the intention of purchasing a vehicle based on the vehicle purchase intention of the potential users.

[0007] In one embodiment, obtaining the intended vehicle purchase information of the potential users with the intention of purchasing a vehicle includes: determining the intended vehicle purchase information of the potential users with the intention of purchasing a vehicle based on the automotive websites browsed by the potential users with the intention of purchasing a vehicle and the comment content.

[0008] In one embodiment, generating the interactive information sent to the potential users with the intention of purchasing a vehicle based on the intended vehicle purchase information and the personal characteristic information of the potential users with the intention of purchasing a vehicle includes: determining the vehicle purchase information suitable for the potential users with the intention of purchasing a vehicle based on the intended vehicle purchase information of the potential users with the intention of purchasing a vehicle; wherein the vehicle purchase information includes vehicle type and vehicle function; determining the sentence structure of the interactive information based on the personal characteristic information of the potential users with the intention of purchasing a vehicle; wherein the sentence structure includes the sentence type and keywords of the interactive information; and generating the interactive information based on the vehicle purchase information and the sentence structure.

[0009] In one embodiment, generating a reply message or performing an interactive action based on the inquiry information of the potential users with the intention of purchasing a vehicle regarding the interactive information includes: if the inquiry information is vehicle knowledge information, searching for the corresponding reply message based on the inquiry information.

[0010] In one embodiment, generating a reply message or performing an interactive action based on the inquiry information of the potential users with the intention of purchasing a vehicle regarding the interactive information includes: if the inquiry information is vehicle purchase information, establishing a purchase intention group and relaying the inquiry information to the purchase intention group; wherein the purchase intention group includes the potential users with the intention of purchasing a vehicle and the sales customer service corresponding to the target vehicle.

[0011] According to another aspect of the present application, there is provided an intelligent interaction device for car-buying users, including: a user information acquisition module configured to acquire the user information of potential users; wherein, the user information includes the personal characteristic information of the potential users and the information on their attention to vehicles; an intention user selection module configured to select, based on the user information of the potential users, the intention users among the potential users who have the intention to purchase a car; a purchase information acquisition module configured to acquire the intention car purchase information of the intention users; wherein, the intention car purchase information includes the purpose of car purchase, the expected price range and the vehicle type of the intention users; an interaction information generation module configured to generate, based on the intention car purchase information and the personal characteristic information of the intention users, the interaction information to be sent to the intention users; wherein, the sentence structure of the interaction information is determined according to the personal characteristic information of the intention users; an inquiry response execution module configured to generate a response information or execute an interaction action based on the inquiry information of the intention users regarding the interaction information.

[0012] According to another aspect of the present application, there is provided a computer-readable storage medium storing a computer program for executing any one of the above methods.

[0013] According to another aspect of the present application, there is provided an electronic device, including: a processor; a memory for storing executable instructions of the processor; the processor is configured to execute any one of the above methods.

[0014] An intelligent interaction method, device, medium and equipment for car-buying users provided by the present application, by acquiring the user information of potential users; wherein, the user information includes the personal characteristic information of potential users and the information on their attention to vehicles; selecting, based on the user information of potential users, the intention users among the potential users who have the intention to purchase a car; acquiring the intention car purchase information of the intention users; wherein, the intention car purchase information includes the purpose of car purchase, the expected price range and the vehicle type of the intention users; generating, based on the intention car purchase information and the personal characteristic information of the intention users, the interaction information to be sent to the intention users; wherein, the sentence structure of the interaction information is determined according to the personal characteristic information of the intention users; generating a response information or executing an interaction action based on the inquiry information of the intention users regarding the interaction information; that is, by acquiring the user information of potential users to select intention users, and sending corresponding interaction information according to the intention car purchase information and the personal characteristic information of the intention users, automatically generating a response information or executing an interaction action after the intention users send inquiry information, so as to discover potential intention users and achieve precise interaction, thereby improving the interaction satisfaction of users. Description of the Drawings

[0015] The above and other objects, features, and advantages of the present application will become more apparent through a more detailed description of the embodiments of the present application in conjunction with the accompanying drawings. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation to the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0016] Figure 1 It is a schematic flowchart of a smart interaction method for car-buying users provided by an exemplary embodiment of the present application.

[0017] Figure 2 It is a schematic structural diagram of a smart interaction device for car-buying users provided by an exemplary embodiment of the present application.

[0018] Figure 3 It is a structural diagram of an electronic device provided by an exemplary embodiment of the present application. Detailed implementation manners

[0019] Next, exemplary embodiments of the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described herein.

[0020] Figure 1 It is a schematic flowchart of a smart interaction method for car-buying users provided by an exemplary embodiment of the present application. As Figure 1 shown, the smart interaction method for car-buying users includes the following steps:

[0021] Step 110: Obtain user information of potential users.

[0022] Among them, the user information includes the personal characteristic information of potential users and the information of their attention to vehicles. The present application obtains the personal characteristic information of potential users and the information of their attention to vehicles through means such as the Internet. For example, the personal characteristic information of potential users includes occupation, gender, age, hobbies, etc., and the information of their attention to a certain type of vehicle or a certain brand of vehicle.

[0023] Step 120: Select intended users with a car-buying intention from potential users based on the user information of potential users.

[0024] According to the user information of potential users, intended users with a car-buying intention are selected therefrom. For example, potential users are divided into users without a car-buying intention, users with a low car-buying intention, users with a medium car-buying intention, and users with a high car-buying intention, so that different publicity and guidance methods can be adopted for different groups to achieve the best service effect.

[0025] Step 130: Obtain the vehicle purchase intention information of the target user.

[0026] Among them, the vehicle purchase intention information includes the purchase purpose, expected price range, and vehicle type of the target user. For users with vehicle purchase intentions, this application can further determine the vehicle purchase intention information of the target user. For example, based on the hobbies of the target user (such as loving self-driving travel), the purchase purpose of the target user can be determined, so as to provide or recommend the vehicle type and corresponding vehicle functions corresponding to the purchase purpose, etc., to help the target user screen out vehicle information that meets their expectations as much as possible.

[0027] Step 140: Generate interaction information to be sent to the target user based on the vehicle purchase intention information and personal characteristic information of the target user.

[0028] Among them, the sentence structure of the interaction information is determined according to the personal characteristic information of the target user. After this application determines the vehicle purchase intention information of the target user, it generates interaction information suitable for the target user based on the vehicle purchase intention information and the personal characteristic information of the corresponding target user. For example, for target users of the technology male type, the interaction conversation skills of a trendy male salesperson can be used to interact with the target user. Another example is that for target users of the elite female type, the interaction conversation skills of a considerate male salesperson can be used to interact with the target user, so as to improve the favorability and satisfaction of the target user.

[0029] Step 150: Generate a reply message or perform an interaction action based on the inquiry information of the target user regarding the interaction information.

[0030] After receiving the inquiry information of the target user, this application can directly generate a reply message based on the inquiry information to quickly respond to the inquiry needs of the target user, or the target user can also be recommended to the corresponding vehicle salesperson or expert for a reply to improve the inquiry effect of the target user and promote the conclusion of a vehicle purchase.

[0031] An intelligent interaction method for car-buying users provided by this application includes obtaining user information of potential users; where the user information includes personal characteristic information of the potential users and information on their attention to vehicles; based on the user information of the potential users, selecting potential users with the intention to purchase a car as intended users; obtaining the intended car purchase information of the intended users; where the intended car purchase information includes the purpose of car purchase, expected price range, and vehicle type of the intended users; based on the intended car purchase information and personal characteristic information of the intended users, generating interaction information to be sent to the intended users; where the sentence structure of the interaction information is determined according to the personal characteristic information of the intended users; based on the inquiry information of the intended users regarding the interaction information, generating a reply information or performing an interaction action; that is, by obtaining the user information of potential users to select intended users, and according to the intended car purchase information and personal characteristic information of the intended users, sending corresponding interaction information, and automatically generating a reply information or performing an interaction action after the intended users send inquiry information, so as to discover potential intended users and achieve precise interaction, thereby improving the user's interaction satisfaction.

[0032] In one embodiment, the specific implementation manner of the above step 110 may be: searching for the user information of the commenting users on car-related websites to obtain the user information of potential users.

[0033] This application can search for the evaluation information of users on car-related websites and obtain the user information of the users corresponding to the evaluation information. For example, based on information such as the mobile phone number, name, and occupation used by the potential user to register on the car forum, the user information of the potential user can be learned.

[0034] In one embodiment, the specific implementation manner of the above step 120 may be: identifying the car purchase intention of potential users based on the comment content of potential users on car-related websites; and determining the intended users based on the car purchase intention of potential users.

[0035] This application analyzes and identifies whether the corresponding users have the intention to purchase a car based on the evaluation information of users on car-related websites. For example, if a user consults the advantages and disadvantages, price and other key car purchase information of a certain model or a certain type of model on the car forum, it is identified that the potential user has the intention to purchase a car. At this time, the potential user can be determined as an intended user.

[0036] In one embodiment, the specific implementation manner of the above step 130 may be: determining the intended car purchase information of the intended users based on the car websites browsed by the intended users and the comment content.

[0037] This application determines the intended vehicle purchase information of the intended user by identifying the comment content of the intended user (including evaluations or consultation questions about a certain vehicle model), the attributes of the automotive website browsed by the intended user (such as a car purchase website or an automotive forum, etc.), and the section commented by the intended user (such as the new energy vehicle section, the SUV vehicle section, etc.), providing an information basis for subsequent targeted interactions and sales.

[0038] In one embodiment, the specific implementation manner of the above step 140 may be: determining the vehicle purchase information suitable for the intended user based on the intended vehicle purchase information of the intended user; where the vehicle purchase information includes vehicle type and vehicle functions; determining the sentence structure of the interaction information based on the personal characteristic information of the intended user; where the sentence structure includes the sentence type and keywords of the interaction information; generating the interaction information based on the vehicle purchase information and the sentence structure.

[0039] After this application determines the intended vehicle purchase information of the intended user, it determines the vehicle purchase information suitable for the intended user according to the intended vehicle purchase information, that is, determines the vehicle type, configuration functions, etc. suitable for the intended user according to information such as the intended use of the vehicle by the intended user and the operating conditions, and combines the personal characteristic information of the intended user to determine the sentence structure of the interaction information, so as to obtain the vehicle information most suitable for the intended user and recommend it to the intended user, and use the sentence structure that the intended user is most likely to accept to improve the acceptance degree of the intended user.

[0040] In one embodiment, the specific implementation manner of the above step 150 may be: if the inquiry information is vehicle knowledge information, search for the corresponding reply information based on the inquiry information.

[0041] If the inquiry information raised by the intended user is vehicle knowledge information and the intelligent assistant of this application can answer it based on the publicly available information on the website, search for the corresponding reply information based on the inquiry information. Optionally, if the intended user asks the same question more than twice, forward the inquiry information of the intended user to an expert or a human customer service to obtain a reply information that better meets the needs of the intended user.

[0042] In one embodiment, the specific implementation manner of the above step 150 may be: if the inquiry information is vehicle purchase information, establish a purchase intention group and relay the inquiry information to the purchase intention group; where the purchase intention group includes the intended user and the sales customer service corresponding to the target vehicle.

[0043] If the inquiry information provided by an interested user is vehicle purchase information, in order to better provide purchase suggestions and relevant vehicle purchase information, this application can automatically create a purchase intention group, add the interested user and the sales customer service corresponding to the target vehicle to this purchase intention group, and relay the inquiry information of the interested user to the purchase intention group, so that the sales customer service can quickly understand the vehicle purchase information of the interested user, and thus better provide consultation and follow-up guidance services to promote the completion of vehicle purchases.

[0044] Figure 2 It is a schematic structural diagram of an intelligent interaction device for vehicle purchase users provided by an exemplary embodiment of this application. As Figure 2 shown, the intelligent interaction device 20 for vehicle purchase users includes: a user information acquisition module 21, configured to acquire user information of potential users; wherein, the user information includes personal characteristic information of potential users and information on their attention to vehicles; an interested user selection module 22, configured to select interested users with a vehicle purchase intention among potential users based on the user information of the potential users; a vehicle purchase information acquisition module 23, configured to acquire the intended vehicle purchase information of the interested users; wherein, the intended vehicle purchase information includes the purchase purpose of the interested users, the expected price range, and the vehicle type; an interaction information generation module 24, configured to generate interaction information to be sent to the interested users based on the intended vehicle purchase information and personal characteristic information of the interested users; wherein, the sentence structure of the interaction information is determined according to the personal characteristic information of the interested users; an inquiry response execution module 25, configured to generate a response message or execute an interaction action based on the inquiry information of the interested users regarding the interaction information.

[0045] An intelligent interaction device for vehicle purchase users provided by this application acquires the user information of potential users through the user information acquisition module 21; wherein, the user information includes personal characteristic information of potential users and information on their attention to vehicles; the interested user selection module 22 selects interested users with a vehicle purchase intention among potential users based on the user information of the potential users; the vehicle purchase information acquisition module 23 acquires the intended vehicle purchase information of the interested users; wherein, the intended vehicle purchase information includes the purchase purpose of the interested users, the expected price range, and the vehicle type; the interaction information generation module 24 generates interaction information to be sent to the interested users based on the intended vehicle purchase information and personal characteristic information of the interested users; wherein, the sentence structure of the interaction information is determined according to the personal characteristic information of the interested users; the inquiry response execution module 25 generates a response message or executes an interaction action based on the inquiry information of the interested users regarding the interaction information; that is, by acquiring the user information of potential users to select interested users, and sending corresponding interaction information according to the intended vehicle purchase information and personal characteristic information of the interested users, automatically generating a response message or executing an interaction action after the interested users send inquiry information, so as to discover potential interested users and achieve precise interaction, thereby improving the user's interaction satisfaction.

[0046] In one embodiment, the above-mentioned user information acquisition module 21 may be further configured to: search for user information of commenting users on automobile-related websites to obtain user information of potential users.

[0047] In one embodiment, the above-mentioned intended user selection module 22 may be further configured to: identify the car purchase intention of potential users based on the comment content of potential users on automobile-related websites; determine intended users based on the car purchase intention of potential users.

[0048] In one embodiment, the above-mentioned car purchase information acquisition module 23 may be further configured to: determine the intended car purchase information of intended users based on the automobile websites browsed by intended users and the comment content.

[0049] In one embodiment, the above-mentioned interaction information generation module 24 may be further configured to: determine car purchase information suitable for intended users based on the intended car purchase information of intended users; wherein the car purchase information includes vehicle type and vehicle function; determine the sentence structure of interaction information based on the personal characteristic information of intended users; wherein, the sentence structure includes the sentence type and keywords of interaction information; generate interaction information based on the car purchase information and the sentence structure.

[0050] In one embodiment, the above-mentioned inquiry response execution module 25 may be further configured to: if the inquiry information is vehicle knowledge information, search for corresponding response information based on the inquiry information.

[0051] In one embodiment, the above-mentioned inquiry response execution module 25 may be further configured to: if the inquiry information is vehicle purchase information, establish a purchase intention group and relay the inquiry information to the purchase intention group; wherein, the purchase intention group includes intended users and the sales customer service corresponding to the target vehicle.

[0052] Next, refer to Figure 3 to describe the electronic device according to an embodiment of the present application. The electronic device may be any one or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device may communicate with the first device and the second device to receive the input signals collected from them.

[0053] Figure 3 The block diagram of the electronic device according to an embodiment of the present application is illustrated.

[0054] As Figure 3 shown, the electronic device 10 includes one or more processors 11 and a memory 12.

[0055] The processor 11 may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.

[0056] The memory 12 may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage media, and the processor 11 may run the program instructions to implement the methods of the various embodiments of the present application described above and / or other desired functions. Various contents such as input signals, signal components, noise components, etc. may also be stored in the computer-readable storage media.

[0057] In one example, the electronic device 10 may further include: an input device 13 and an output device 14, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown).

[0058] When the electronic device is a stand-alone device, the input device 13 may be a communication network connector for receiving the collected input signals from the first device and the second device.

[0059] In addition, the input device 13 may further include, for example, a keyboard, a mouse, etc.

[0060] The output device 14 may output various information to the outside, including the determined distance information, direction information, etc. The output device 14 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0061] Of course, for simplicity, Figure 3 only some of the components related to the present application in the electronic device 10 are shown, and components such as buses, input / output interfaces, etc. are omitted. In addition, according to specific application scenarios, the electronic device 10 may further include any other appropriate components.

[0062] In addition to the above methods and devices, the embodiments of the present application may also be computer program products, which include computer program instructions that, when run by a processor, cause the processor to execute the steps in the methods according to the various embodiments of the present application described in the "Exemplary Methods" section above of this specification.

[0063] The computer program product may be written in any combination of one or more programming languages for executing the program code of the operations of the embodiments of the present application. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's device, executed as a stand-alone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0064] In addition, an embodiment of the present application may also be a computer-readable storage medium storing computer program instructions, which, when run by a processor, cause the processor to execute the steps in the methods according to various embodiments of the present application described in the "Exemplary Method" section above of this specification.

[0065] The computer-readable storage medium may adopt any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0066] The basic principles of the present application have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, benefits, effects, etc. mentioned in the present application are only examples and not limitations. It cannot be considered that these advantages, benefits, effects, etc. are essential for each embodiment of the present application. In addition, the above-disclosed specific details are only for the purposes of illustration and facilitating understanding, rather than limitations. The above details do not limit the present application to necessarily adopt the above specific details for implementation.

[0067] The block diagrams of the devices, apparatuses, equipment, and systems involved in the present application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "comprising," "including," "having," etc. are open-ended terms that mean "including but not limited to" and can be used interchangeably with each other. The word "or" and "and" used herein refer to the phrase "and / or" and can be used interchangeably with it, unless the context clearly indicates otherwise. The phrase "such as" used herein refers to the phrase "such as but not limited to" and can be used interchangeably with it.

[0068] It should also be noted that in the devices, equipment, and methods of the present application, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present application.

[0069] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

[0070] The above description has been given for purposes of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions, and sub-combinations thereof.

Claims

1. An intelligent interaction method for car - purchasing users, characterized in that, Including: Obtain the user information of potential users; wherein, the user information includes the personal characteristic information of the potential users and the attention information to vehicles; Based on the user information of the potential users, select the intended users among the potential users who have the intention to purchase a vehicle; Obtain the intended vehicle purchase information of the intended users; wherein, the intended vehicle purchase information includes the use of the vehicle for the intended users, the expected price range, and the vehicle type; Based on the intended vehicle purchase information and the personal characteristic information of the intended users, generate interactive information to be sent to the intended users; wherein, the sentence structure of the interactive information is determined according to the personal characteristic information of the intended users; Based on the inquiry information of the intended users regarding the interactive information, generate a reply information or perform an interactive action.

2. The intelligent interaction method for car-purchasing users according to claim 1, characterized in that The obtaining of the user information of potential users includes: Search for the user information of the commenting users on automotive-related websites to obtain the user information of the potential users.

3. The intelligent interaction method for car-purchasing users according to claim 2, characterized in that The selecting of the intended users among the potential users who have the intention to purchase a vehicle based on the user information of the potential users includes: Based on the comment content of the potential users on automotive-related websites, identify the vehicle purchase intention of the potential users; Based on the vehicle purchase intention of the potential users, determine the intended users.

4. The intelligent interaction method for car-buying users according to claim 1, wherein The obtaining of the intended vehicle purchase information of the intended users includes: Based on the automotive websites browsed by the intended users and the comment content, determine the intended vehicle purchase information of the intended users.

5. The intelligent interaction method for car-buying users according to claim 1, wherein, The generating of the interactive information to be sent to the intended users based on the intended vehicle purchase information and the personal characteristic information of the intended users includes: Based on the intended vehicle purchase information of the intended users, determine the vehicle purchase information suitable for the intended users; wherein the vehicle purchase information includes the vehicle type and vehicle functions; Based on the personal characteristic information of the intended users, determine the sentence structure of the interactive information; wherein, the sentence structure includes the sentence type and keywords of the interactive information; Based on the vehicle purchase information and the sentence structure, generate the interactive information.

6. The intelligent interaction method for car-buying users according to claim 1, wherein The generating of a reply information or performing an interactive action based on the inquiry information of the intended users regarding the interactive information includes: If the inquiry information is vehicle knowledge information, search for the corresponding reply information based on the inquiry information.

7. The intelligent interaction method for car-buying users according to claim 1, wherein The generating of a reply information or performing an interactive action based on the inquiry information of the intended users regarding the interactive information includes: If the inquiry information is vehicle purchase information, establish a purchase intention group and relay the inquiry information to the purchase intention group; wherein, the purchase intention group includes the intended users and the sales customer service corresponding to the target vehicle.

8. An intelligent interaction device for car-buying users, characterized in that, Including: A user information acquisition module, configured to obtain the user information of potential users; wherein, the user information includes the personal characteristic information of the potential users and the attention information to vehicles; An intended user selection module, configured to select the intended users among the potential users who have the intention to purchase a vehicle based on the user information of the potential users; A vehicle purchase information acquisition module, configured to obtain the intended vehicle purchase information of the intended users; wherein, the intended vehicle purchase information includes the use of the vehicle for the intended users, the expected price range, and the vehicle type; An interactive information generation module, configured to generate interactive information to be sent to the intended user based on the intended vehicle purchase information and personal characteristic information of the intended user; wherein, the sentence structure of the interactive information is determined according to the personal characteristic information of the intended user; An inquiry response execution module, configured to generate a response message or execute an interaction action based on the inquiry information of the intended user regarding the interactive information.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1-7 above.

10. An electronic device, characterized in that, Comprising: A processor; A memory for storing executable instructions of the processor; The processor is used to execute the method according to any one of claims 1-7 above.

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