CN115426410A

CN115426410A - Vehicle interaction method and device, terminal equipment and computer readable storage medium

Info

Publication number: CN115426410A
Application number: CN202211063868.7A
Authority: CN
Inventors: 王姣; 张朝阳; 王庚; 赵旭光; 张子舆; 刘琪; 张博; 陈志号
Original assignee: Great Wall Motor Co Ltd
Current assignee: Great Wall Motor Co Ltd
Priority date: 2022-08-31
Filing date: 2022-08-31
Publication date: 2022-12-02

Abstract

The application is suitable for the technical field of vehicle networking, and provides a vehicle interaction method, a device and terminal equipment, wherein the method comprises the following steps: the method comprises the steps of obtaining an input service search request, sending the service search request to a management server, enabling the management server to forward the service search request to a big data server, wherein the service search request carries service information to be searched, the big data server speculates the searched service content according to the service information to generate a speculative result of the service content, generating a service resource obtaining request according to the received speculative result, and sending the service resource obtaining request to the management server, wherein the management server obtains resources corresponding to the service content from a resource platform providing the service content according to the service resource obtaining request, and presents the resources corresponding to the service content. The time for the user to operate the operation interface of the vehicle-mounted terminal is reduced.

Description

Vehicle interaction method and device, terminal equipment and computer readable storage medium

Technical Field

The application belongs to the technical field of vehicle networking, and particularly relates to a vehicle interaction method, a vehicle interaction device, terminal equipment and a computer-readable storage medium.

Background

In the early development stage of the intelligent networking automobile, the automobile configuration service is relatively less, and the service search is relatively easy. With the rapid development of the intelligent networked automobile technology, particularly the rapid introduction of ecosystem services, more and more services are configured for vehicles, and when a user needs to use a certain service of a vehicle, the user needs to operate an operation interface of a vehicle-mounted terminal for many times to find service resources corresponding to the service.

In the related art, a user can search according to the name or description information of a service required to be used, and the time for operating an operation interface of the vehicle-mounted terminal is reduced. However, when the user knows part of the description information and part of the service name of the service, and the description information or the service name input by the user incorrectly, the user can only blindly operate the operation interface of the vehicle-mounted terminal many times to search for the service resource of the corresponding service, so that the time for the user to operate the operation interface of the vehicle-mounted terminal cannot be reduced.

Disclosure of Invention

The vehicle interaction method, the vehicle interaction device and the terminal device can solve the problem that when a user knows part of description information and part of service names of services and wrong description information or service names input by the user, the user can only search service contents corresponding to the services by operating an operation interface of the vehicle-mounted terminal for many times, so that the time for the user to operate the operation interface of the vehicle-mounted terminal cannot be reduced.

In a first aspect, an embodiment of the present application provides a vehicle interaction method, including:

acquiring an input service search request, and sending the service search request to a management server to enable the management server to forward the service search request to a big data server; the service searching request carries service information to be searched;

the big data server speculates the searched service content according to the service information and generates a speculative result of the service content;

generating a service resource acquisition request according to the received conjecture result;

sending the service resource acquisition request to the management server, wherein the management server acquires a resource corresponding to the service content from a resource platform providing the service content according to the service resource acquisition request;

and presenting the resources corresponding to the service content.

In a second aspect, an embodiment of the present application provides a vehicle interaction system, including: the system comprises a vehicle-mounted terminal, a management server, a big data server and a resource platform;

the vehicle-mounted terminal is used for acquiring an input service search request and sending the service search request to the management server, wherein the service search request carries service information to be searched;

the management server is used for forwarding the service search request to the big data server;

the big data server is used for speculating the searched service content according to the service information, generating a speculative result of the service content and sending the speculative result to the management server;

the management server is also used for forwarding the conjecture result to the vehicle-mounted terminal;

the vehicle-mounted terminal is further used for receiving the conjecture result forwarded by the management server, generating a service resource acquisition request and sending the service resource acquisition request to the management server;

the management server is further used for acquiring resources corresponding to the service contents from a resource platform providing the service contents according to the service resource acquisition request;

and the vehicle-mounted terminal is also used for presenting the resources corresponding to the service content.

In a third aspect, an embodiment of the present application provides a vehicle interaction device, including:

the request acquisition module is used for acquiring an input service search request, sending the service search request to a management server and enabling the management server to forward the service search request to a big data server; the service searching request carries service information to be searched;

a request generation module, configured to generate a service resource acquisition request according to the received speculative result;

a resource obtaining module, configured to send the service resource obtaining request to the management server, where the management server obtains, according to the service resource obtaining request, a resource corresponding to the service content from a resource platform that provides the service content;

and the resource presenting module is used for presenting the resources corresponding to the service contents.

In a fourth aspect, an embodiment of the present application provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor, when executing the computer program, implements the vehicle interaction method according to any one of the first aspect.

In a fifth aspect, the present application provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the vehicle interaction method of any one of the above first aspects.

In a sixth aspect, the present application provides a computer program product, which when run on a terminal device, causes the terminal device to execute the vehicle interaction method according to any one of the first aspect.

It is understood that the beneficial effects of the second to sixth aspects can be seen from the description of the first aspect, and are not described herein again.

Compared with the prior art, the embodiment of the application has the advantages that: the method comprises the steps of sending a service search request to a management server by obtaining an input service search request, enabling the management server to forward the service search request to a big data server, wherein the service search request carries service information to be searched, the big data server speculates searched service content according to the service information to generate a speculative result of the service content, generating a service resource obtaining request according to the received speculative result, and sending the service resource obtaining request to the management server, wherein the management server obtains resources corresponding to the service content from a resource platform providing the service content according to the service resource obtaining request, and presents the resources corresponding to the service content. Therefore, when the user knows partial description information and partial service name of the service, and the user inputs wrong description information or service name and the like, the big data server can be used for presuming the searched service content according to the service information to generate a presumed result of the service content, and the resource of the corresponding service content is obtained according to the presumed result, so that the user does not need to blindly operate the operation interface of the vehicle-mounted terminal for many times to search the resource of the corresponding service content, and the time for the user to operate the operation interface of the vehicle-mounted terminal is reduced.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a diagram of an exemplary vehicle interaction method;

FIG. 2 is a schematic flow chart diagram of a vehicle interaction method provided by an embodiment of the present application;

FIG. 3 is a schematic flow chart diagram of a vehicle interaction method provided by another embodiment of the present application;

FIG. 4 is an interaction diagram of a vehicle interaction method provided by another embodiment of the present application;

FIG. 5 is a schematic structural diagram of a vehicle interaction device provided in an embodiment of the present application;

fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".

Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.

Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.

It should be understood that, the sequence numbers of the steps in this embodiment do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation to the implementation process of the embodiment of the present application.

In the related art, a user can search according to the name or description information of a service required to be used, and the time for operating an operation interface of the vehicle-mounted terminal is reduced. However, when the user knows part of the description information and part of the service name of the service, and the user inputs wrong description information or service name, the user can only blindly operate the operation interface of the vehicle-mounted terminal many times to find the corresponding service, so that the time for the user to operate the operation interface of the vehicle-mounted terminal cannot be reduced.

The application provides a vehicle interaction method, which comprises the steps of sending a service search request to a management server by obtaining the input service search request, enabling the management server to forward the service search request to a big data server, wherein the service search request carries service information to be searched, generating a presumed result of service content by the big data server according to service content presumed and searched by the service information, generating a service resource obtaining request according to the received presumed result, and sending the service resource obtaining request to the management server, wherein the management server obtains resources corresponding to the service content from a resource platform providing the service content according to the service resource obtaining request, and presenting the resources corresponding to the service content. Therefore, when the user knows partial description information and partial service name of the service, and the user inputs wrong description information or service name and the like, the big data server can be used for presuming the searched service content according to the service information to generate a presumed result of the service content, and the resource of the corresponding service content is obtained according to the presumed result, so that the user does not need to blindly operate the operation interface of the vehicle-mounted terminal for many times to search the resource of the corresponding service content, and the time for the user to operate the operation interface of the vehicle-mounted terminal is reduced.

The vehicle interaction method provided by the application can be applied to the environment of the vehicle interaction system shown in FIG. 1. The vehicle-mounted terminal 110 is connected to the management server 120 through a network, the management server 120 is connected to the big data server 130 and the resource platform 140 through a network, and the resource platform 140 may include a third-party resource platform and a vehicle service platform. The vehicle-mounted terminal 110 sends a service search request to the management server 120 by acquiring the input service search request, so that the management server 120 forwards the service search request to the big data server 130, wherein the service search request carries service information to be searched, the big data server 130 speculates the searched service content according to the service information to generate a speculative result of the service content, the vehicle-mounted terminal 110 generates a service resource acquisition request according to the received speculative result, and sends the service resource acquisition request to the management server 120, wherein the management server 120 acquires a resource corresponding to the service content from the resource platform 140 providing the service content according to the service resource acquisition request, and the vehicle-mounted terminal 110 presents the resource corresponding to the service content.

The vehicle-mounted terminal 110 may be, but is not limited to, a front-end device of a vehicle monitoring management system; the management server 120 may monitor the processing devices of the management system with the vehicle; big data server 130 may be a server that provides big data analytics; the resource platform 140 may be a platform for providing resources, and the resource platform 140 may include a third-party resource platform and a vehicle service platform, where the third-party resource platform may be a resource platform for providing application resources, a platform for providing three-party resources such as videos, music, maps, and the like, and the third-party resource platform may include one or more of the third-party resource platforms; the vehicle service platform may be a service platform for vehicle configuration management, such as: vehicle control equipment, air conditioners, seats and the like.

The service content can be online videos, online music, maps, vehicle control equipment, air conditioners, seats and the like.

In one scenario, a user needs to adjust an air conditioner of a vehicle, the user inputs service information to be searched through an operation interface of a vehicle-mounted terminal, when the user inputs the service information to be searched, the service information input by the user can be an "air conditioner", the service information input by the user can be a "kongtiao", the service information input by the user can be an "empty tiao", the service information input by the user can be partial description information, partial service names, error description information or service names input by the user and the like of services such as an "empty", a service search request is further generated, after the vehicle-mounted terminal obtains the service search request, the service search request is sent to a management server, the management server forwards the service search request to a big data server, the big data server can estimate that the searched service content is the "air conditioner" according to the service information, further generate an estimation result that the service content is the "air conditioner", the vehicle-mounted terminal generates a service resource obtaining request for obtaining air conditioner configuration information according to the received estimation result, the vehicle-mounted terminal obtains the service resource obtaining request to the air conditioner configuration information, and the vehicle resource information is displayed on the vehicle-mounted terminal.

In one embodiment, referring to fig. 2, a vehicle interaction method is provided, which is described by way of example and not limitation as the method is applied to the vehicle-mounted terminal in fig. 1, and as shown in fig. 2, the vehicle interaction method may include the following steps:

step 101, acquiring an input service search request, sending the service search request to a management server, and enabling the management server to forward the service search request to a big data server, wherein the service search request carries service information to be searched, and the big data server speculates searched service content according to the service information to generate a speculative result of the service content.

The service search request may be generated according to the service content that the user needs to use, and the user may input information related to the service content that the user needs to use to the vehicle-mounted terminal, thereby generating the service search request.

In one possible implementation manner, the user may input information related to the service content required to be used by means of voice input, so as to generate the service search request.

In another possible implementation manner, a user may input information related to service content to be used in a text form by operating an operation interface of the in-vehicle terminal, and click a search control, so as to generate a service search request.

The service information may be information related to service content that needs to be used, which is input by the user through the vehicle-mounted terminal when the service search request is generated, and may be an accurate service name, description information of the service, and the like, a service name with a part of wrong content, description information of the service, and the like, or a part of information of the service name and description information of the service, and the like.

The description information of the service may be a keyword related to the service, and the like.

The management server may be a server that serves each request of the in-vehicle terminal. The system can be used for forwarding a service search request to the big data server, receiving a result output after automatic error correction and intelligent association of the big data server, and forwarding the result to the vehicle-mounted terminal; and the resource of the service content can be acquired from the resource platform according to the service resource acquisition request and forwarded to the vehicle-mounted terminal.

The vehicle-mounted terminal comprises a vehicle-mounted entertainment host, a vehicle networking communication module and the like. The vehicle-mounted entertainment host is used for processing information input by a user, generating requests such as service searching requests and service resource obtaining requests, the vehicle networking communication module forwards various requests generated by the vehicle-mounted entertainment host, receives service content presumption results returned by the management server, resources corresponding to the service content and the like, and transmits the service content presumption results and the resources to the vehicle-mounted entertainment host.

The big data server can perform intelligent intervention on the service information to realize the speculation of the service content required to be searched by the user, mainly comprises the processing of automatic error correction and intelligent association, and feeds back the speculation result to the management server.

The service content can be online video, online music, a map, a vehicle control device, an air conditioner, a seat and the like.

The service content may be inferred based on the service information, and the inferred result of the service content may be service content that the user needs to search, for example: online video, online music, maps, vehicle control equipment, air conditioners, seats, and the like.

It should be understood that the result of the inference of the service content may include one service content or may include a plurality of service contents.

In a possible embodiment, in a case that the service content inference result includes a plurality of service contents, the big data server may determine the frequency of use of each service content according to the user behavior data of the user in the user behavior database, and determine the priority of each service content according to the frequency of use of each service content, where the higher the frequency of use, the higher the priority. The service content presumption result sent by the big data server to the management server carries the priority information of each service content.

In one possible embodiment, the big data server speculates the searched service content according to the service information and generates a speculative result of the service content, including:

the big data server carries out error correction processing according to the service information and the first preset lexicon to generate error-corrected service information; and the big data server performs association processing according to the corrected service information, the user behavior database and the second preset lexicon to generate an association result, wherein the association result is a conjecture result of the service content.

The first preset lexicon may be words storing various service contents related to the vehicle, including names, keywords, and the like of the service contents.

The user behavior database may be a database that records behavior data of a user using the vehicle.

The second predetermined vocabulary library may be a vocabulary storing various service contents related to the vehicle, including names, keywords, and the like of the service contents.

It should be understood that the first predetermined lexicon and the second predetermined lexicon may or may not be the same lexicon. Under the condition that the word stocks are not the same, the words in the first preset word stock and the second preset word stock can be the same or different.

In a possible embodiment, when the big data server receives the service search request, the service information in the service search request is obtained, whether the vocabulary in the first preset lexicon contains the service information is searched, the service information is contained, and the generated error-corrected service information is the service information in the service search request. The service information is corrected without including the service information, and the corrected service information is generated.

In one example, the user inputs the keyword "changcheng car", may input error correction logic by using chinese characters and pinyin, and combine the existing vocabulary "great wall car" in the first preset lexicon to be closest to "changcheng car", and correct the error to convert into "great wall car", which is the service information after error correction.

In one example, the user inputs 'blank' and adopts wrongly written error correction logic, and the existing words 'vehicle control' in the first preset lexicon are closest to 'blank' and converted into 'vehicle control' after error correction, and the 'vehicle control' is service information after error correction.

In one example, a user inputs ' chch ', pinyin short-write error correction logic is adopted, existing words ' great wall ' and ' car window ' in a first preset word bank are combined and conform to the pinyin short-write word ' chch ', error correction is carried out to convert the words into ' great wall ' and ' car window ', and the great wall ' and the ' car window ' are service information after error correction.

It should be understood that pinyin composition error correction can also be supported, and pinyin transformation extension mainly aims at fuzzy sound type errors, namely, regional characteristics of pronunciations of users in different regions are adjusted, transformation of front nasal sounds and rear nasal sound vowels, transformation of flat-tongue sounds and curled-tongue sounds and the like.

In one possible embodiment, after the error correction processing is finished, performing intelligent association according to the service information after error correction, and performing intelligent association based on the user behavior database and the second preset lexicon, for example: associating on the basis of the corrected service information, and returning words with high search times based on user behavior data in a preset time period of a user; if the corrected service information is not searched, returning according to the default priority of the weight, and if the corrected service information has corresponding words in the second preset lexicon, directly taking the corrected service information as an association result without association.

In one possible embodiment, the input service information is collected, forwarded to the big data server through the management server, and added to the user behavior database of the big data server.

The input service information can be monitored and collected in real time in a vehicle-mounted point or voice point-embedded mode.

It should be understood that the vehicle-mounted terminal or the voice embedded point may be preset to monitor the service information input by the user in real time, and the vehicle-mounted terminal collects the input service information when monitoring the service information input by the user.

It should be understood that after the vehicle-mounted terminal collects the service information, the service information may be immediately forwarded to the big data server through the management server and added to the user behavior database of the big data server, or after all operations of the user are finished, all user behavior data of the user may be forwarded to the big data server through the management server and added to the user behavior database of the big data server.

It should be understood that the collected service information is sent to the big data server, added to the user behavior database for storage, and the collected service information is associated with the user information of the user who inputs the service information during storage, so that the data set of the operation behavior of the user can be enriched, and the precision of intelligent association can be improved. Meanwhile, a label can be set for the user according to the data set of the operation behavior of the user, and the label can be a keyword generated by simply classifying similar users and extracting the operation behavior characteristics of the similar users by combining the operation behavior characteristics of each user, and the keyword is used as a common label of the similar users. According to the labels of the users, different user groups can search or use the service contents frequently, the service contents can be recommended and/or configured for the users in a targeted manner, and unnecessary cost is reduced. Such as: the service content with higher use intention can be recommended to the user according to the operation preference of each time on the identity records of different users.

Step 102, generating a service resource obtaining request according to the received conjecture result.

The service resource obtaining request may be a request for obtaining a resource corresponding to the service content.

In one possible embodiment, in a case where the inference result includes a plurality of service contents, the service resource acquisition request may be generated according to the priority of the service contents and according to the service content with the highest priority.

In one example, the service content is an air conditioner, and the generated service resource acquisition request may be a request for acquiring configuration information of the air conditioner.

Step 103, sending a service resource acquisition request to the management server, wherein the management server acquires a resource corresponding to the service content from a resource platform providing the service content according to the service resource acquisition request.

The resource platform may be a third-party resource platform or a vehicle service platform that provides service content, and the like.

It should be understood that, when receiving a service resource acquisition request of the vehicle-mounted terminal, the management server may determine, according to the service resource acquisition request, a resource platform to which a resource corresponding to the service content belongs, further determine a corresponding resource acquisition interface, and call the resource acquisition interface to acquire the resource from the corresponding resource platform.

It should be understood that, when the service content is a configuration service of a vehicle, the resource corresponding to the service content may be acquired from the corresponding vehicle service platform, and when the service content is a service other than the configuration service of the vehicle, the resource corresponding to the service content may be acquired from the corresponding third-party resource platform. Services other than the vehicle's configuration class services, such as online video, music, maps, and so forth.

In one example, the service content is an online video, and the online video is provided by a third-party resource platform, and then video data of the online video is acquired from the third-party resource platform.

In one example, if the service content is an air conditioner, and the air conditioner is managed by the vehicle service platform, the air conditioner configuration information is obtained from the vehicle service platform.

And 104, presenting the resources corresponding to the service contents.

It should be understood that the manner of presenting the resource corresponding to the service content may be determined according to the type of the service content.

In one possible embodiment, taking the example that the service content is online music and the resource is audio data, the vehicle-mounted terminal may present the audio data in a manner of playing the audio data.

In one possible embodiment, taking the service content as an online video and the resource as video data as an example, the vehicle-mounted terminal may present the video data in a manner of playing the video data.

In a possible embodiment, taking the example that the service content is an air conditioner and the resource is air conditioner configuration information, the vehicle-mounted terminal may present the air conditioner configuration information in a page display manner, and may also present the air conditioner configuration information in a voice broadcast manner.

The vehicle interaction method comprises the steps of obtaining an input service search request, sending the service search request to a management server, enabling the management server to forward the service search request to a big data server, wherein the service search request carries service information to be searched, the big data server speculates the searched service content according to the service information to generate a speculative result of the service content, generating a service resource obtaining request according to the received speculative result, and sending the service resource obtaining request to the management server, wherein the management server obtains resources corresponding to the service content from a resource platform providing the service content according to the service resource obtaining request, and presents the resources corresponding to the service content. Therefore, when the user knows partial description information and partial service name of the service, and the user inputs wrong description information or service name and the like, the big data server can be used for presuming the searched service content according to the service information to generate a presumed result of the service content, and the resource of the corresponding service content is obtained according to the presumed result, so that the user does not need to blindly operate the operation interface of the vehicle-mounted terminal for many times to search the resource of the corresponding service content, and the time for the user to operate the operation interface of the vehicle-mounted terminal is reduced.

In one embodiment, referring to fig. 3, another vehicle interaction method is provided, which is described by taking an application of the method to the vehicle-mounted terminal in fig. 1 as an example, but not limited to, as shown in fig. 3, the vehicle interaction method may include the following steps:

step 201, obtaining an input service search request, sending the service search request to a management server, and enabling the management server to forward the service search request to a big data server, wherein the service search request carries service information to be searched, and the big data server speculates the searched service content according to the service information to generate a speculative result of the service content.

The detailed implementation process and principle of step 201 may refer to the detailed description of the above embodiments, and are not described herein again.

Step 202, presenting the speculative result according to the received speculative result.

The method for presenting the inference result may be any method for making the user know the inference result, and the method for presenting the inference result of the service content may be voice broadcast, or may be displayed on an operation interface.

Further, the presentation manner of the inference result of the service content may be a voice presentation, that is, in a possible implementation manner of this embodiment of the application, the step 202 may include: and under the condition that the presentation mode of the presumed result is voice presentation, the presumed result is broadcasted in voice according to the received presumed result.

It should be understood that the voice broadcasting service content presumption result is adopted, a user does not need to see a display screen of the vehicle-mounted terminal, and the driving safety is improved.

Further, the presentation manner of the inferred result of the service content may be page display, that is, in a possible implementation manner of the embodiment of the present application, the step 202 may include: and displaying the presumed result according to the received presumed result under the condition that the presenting mode of the presumed result is page display.

Wherein, the service content presumption result can be displayed through a display screen of the vehicle-mounted terminal.

It should be understood that the presentation is performed in a page presentation manner, and a user can accurately and intuitively see what content is included in the service content presumption result.

Furthermore, when the presentation mode of the inference result of the service content is page presentation, and the inference result of the service content includes information of a plurality of service contents, the inference result may be information of the service content with the highest priority. In one possible embodiment, displaying the speculative result based on the received speculative result includes:

and when the estimation result comprises a plurality of pieces of service content information, highlighting the information of the service content with the highest priority according to the priority of each service content, wherein the highlighting mode comprises the following steps: at least one of bolded font, eye-catching font color, and prioritization.

It should be understood that the information of the service content with the highest priority may be highlighted by any one of a bold font, a highlighted font color and a priority, such as: the font of the information of the service content with the highest priority is thickened, the font of the information of the service content with the highest priority is set to be the striking font color, or the information of the service content with the highest priority is arranged at the first position for striking display, so that the information of other service contents is distinguished, and the striking display effect is achieved.

It should be understood that the information of the service content with the highest priority may be highlighted by using various combinations of bold font, highlighted font color and prioritization, such as: the font of the information of the service content with the highest priority is thickened and set as the striking font color to be displayed in a striking mode, or the font of the information of the service content with the highest priority is thickened and arranged at the first position to be displayed in a striking mode, or the font of the information of the service content with the highest priority is set as the striking font color and arranged at the first position to be displayed in a striking mode, or the font of the information of the service content with the highest priority is thickened, the font of the information of the service content with the highest priority is set as the striking font color and the information of the service content with the highest priority is arranged at the first position to be displayed in a striking mode, and then the information of other service contents is distinguished, and the effect of displaying in a striking mode is achieved.

The information of the service content may be information describing the service content.

In one example, when a user triggers a service search request, the input service information is "chch", the service content searched is presumed by the big data server, the presumed result of the generated service content is "great wall" and "car window", the big data server analyzes according to the user behavior data to obtain that the priority of the search for the car window by the user is higher than that of the "great wall", the color of the word "car window" is set to be a striking color, for example, the color of the word "car window" can be set to be red, and the color of the word "great wall" can be set to be black.

And step 203, monitoring feedback information of the user.

The feedback information may be information fed back by the user after the result of the inference of the service content is presented.

It should be understood that the user may input the feedback information by operating the in-vehicle terminal, and may also input the feedback information by voice.

In a possible embodiment, if there is no service content required by the user in the presented inference result of the service content, the user may feedback information confirming that it is not necessary to acquire the resource of the service content, or may not perform any feedback. If the guessed result of the service content is not correct, the user can input the service search request again.

In a possible embodiment, in the presented estimation result of the service content, if there is a service content required by the user, the user may input feedback information by operating the vehicle-mounted terminal or by voice, so as to confirm a resource required to acquire the service content.

In a possible embodiment, when the service content is included in the estimation result of the service content, the user may indicate that the user needs to acquire the resource of the service content by feeding back intention information such as "yes" or "confirm" that specifies that the user needs to acquire the resource of the service content.

In a possible embodiment, in a case that the inference result of the service content includes a plurality of service contents, the user may input information of the required service content by voice, for example, the inference result of the service content is "great wall" and "window", and the user inputs "window" by voice, which may indicate that the user needs to obtain resources of the window service.

In a possible embodiment, in a case that the service content estimation result includes a plurality of service contents, the user may select information of the corresponding service contents by operating the vehicle-mounted terminal, for example, the service content estimation result is "great wall" and "window," two words of "great wall" and "window" are displayed in a display screen of the vehicle-mounted terminal, and the user operates the vehicle-mounted terminal to select "window," which may indicate that the user needs to obtain resources of the window service.

In a possible embodiment, after the step of monitoring the feedback information of the user, the method further includes:

and stopping monitoring the feedback information under the condition that the feedback information is not monitored in the preset time or the feedback information is a resource for confirming that the service content does not need to be acquired.

It should be understood that the user does not have feedback within a preset time, and the default user does not need the service content.

It should be understood that, in the case that the feedback information is not monitored within the preset time or the feedback information is determined as a resource for which the service content does not need to be acquired, the monitoring of the feedback information is stopped, and the running of the program is reduced.

And 204, generating a service resource acquisition request according to the service content under the condition that the feedback information of the user is monitored and the feedback information is the resource needing to acquire the service content.

Wherein, the service resource obtaining request may be a request for obtaining a resource corresponding to the service content,

in one example, the service content is an air conditioner, the resource corresponding to the air conditioner may be current air conditioner configuration information of a vehicle, the vehicle-mounted terminal acquires the air conditioner configuration information, and the user may view the current air conditioner configuration information and may adjust the air conditioner based on the air conditioner configuration information.

In one example, the service content is an online video, the resource corresponding to the online video may be video data, and the vehicle-mounted terminal acquires the video data and plays the video data.

In one possible embodiment, the input feedback information is collected, and the collected feedback information is forwarded to the big data server through the management server and added into a user behavior database of the big data server.

And feedback information is monitored and collected in real time in a vehicle embedded point and/or voice embedded point mode.

It should be understood that the vehicle-mounted terminal is preset with a vehicle-mounted machine embedded point and/or a voice embedded point, monitors service information and feedback information input by a user in real time, and collects input feedback information or feedback information when the condition that the user inputs the feedback information or the feedback information is monitored.

It should be understood that no matter whether the user has feedback information or not, all operation behavior data in the interaction process of the user and the vehicle-mounted terminal are collected, and if the user does not input the feedback information, the feedback information which is not input can be recorded and can also be used as the user behavior data.

It should be understood that after the vehicle-mounted terminal collects the feedback information, the feedback information may be immediately forwarded to the big data server through the management server and added to the user behavior database of the big data server, or after all operations of the user are finished, all user behavior data of the user may be forwarded to the big data server through the management server and added to the user behavior database of the big data server.

It should be understood that the collected feedback information is sent to the big data server, added to the user behavior database for storage, and the collected feedback information is associated with the user information of the user who inputs the feedback information during storage, so that the data set of the operation behavior of the user can be enriched, and the precision of intelligent association can be improved. Meanwhile, a label can be set for the user according to the data set of the operation behavior of the user, and the label can be a keyword generated by simply classifying similar users and extracting the operation behavior characteristics of the similar users by combining the operation behavior characteristics of each user, and the keyword is used as a common label of the similar users. According to the labels of the users, the frequency of using the service contents by different user groups can be used for recommending and/or configuring the service contents for the users in a targeted manner, and unnecessary cost is reduced. Such as: the service content with higher use intention can be recommended to the user according to the operation preference of each time on the identity records of different users.

It should be understood that the collected information is forwarded to the big data server by the management server and added to the user behavior database. Therefore, the precision of intelligent association can be further improved, the accuracy of the estimation result of the service content is improved, and the time for operating the operation interface of the vehicle-mounted terminal by the user is further reduced.

Step 205, sending a service resource obtaining request to the management server, wherein the management server obtains a resource corresponding to the service content from a resource platform providing the service content according to the service resource obtaining request.

And step 206, presenting the resources corresponding to the service contents.

The detailed implementation process and principle of the steps 205 to 206 may refer to the detailed description of the above embodiments, and are not described herein again.

The vehicle interaction method comprises the steps of sending a service search request to a management server by obtaining an input service search request, enabling the management server to forward the service search request to a big data server, wherein the service search request carries service information to be searched, the big data server speculates searched service content according to the service information to generate an inference result of the service content, presenting the inference result according to the received inference result, monitoring feedback information of a user, and generating a service resource obtaining request according to the inference result under the condition that the feedback information of the user is monitored and the feedback information is the resource for determining to obtain the service content, and sending the service resource obtaining request to the management server, wherein the management server obtains the resource corresponding to the service content from a resource platform for providing the service content according to the service resource obtaining request, and presents the resource corresponding to the service content. Therefore, the user does not need to blindly operate the operation interface of the vehicle-mounted terminal for multiple times to search the resource of the corresponding service content, the user only needs to confirm whether the service content is required or not, confirm the required service content and acquire the resource of the corresponding service content on the basis of reducing the time for the user to operate the operation interface of the vehicle-mounted terminal by presenting the presumed result of the service content to the user for confirmation, the consumption of the server can be further reduced, and the operation efficiency of the server is improved.

In one scenario, as shown in fig. 4, an interaction diagram of a vehicle interaction method may include:

the method comprises the steps that a user triggers a service search request through a vehicle-mounted terminal, the vehicle-mounted terminal sends the service search request to a management server, the management server forwards the service search request to a big data server, the big data server generates service information after error correction according to error correction processing, the service information enters association processing, the result of inference of service content is output to the management server, the management server forwards the result of inference of the service content to the vehicle-mounted terminal, the vehicle-mounted terminal broadcasts the result of inference of the service content in a voice mode, whether the user needs to obtain corresponding resources or not is confirmed, when the user inputs information such as 'no' and operates the vehicle-mounted terminal, the feedback information input by the user can be confirmed to be the resources which do not need to obtain the service content, the interaction is finished, when the user inputs information such as 'yes' and 'confirmation' and the service resource obtaining request is sent to the management server; the management server calls the corresponding resource acquisition interface according to the service resource acquisition request to acquire resources from the corresponding resource platform providing the service content, the resource platform returns the resources corresponding to the service content to the management server, the management server forwards the resources corresponding to the service content to the vehicle-mounted terminal, and the vehicle-mounted terminal presents the resources corresponding to the service content. The vehicle-mounted terminal sends the collected service information and the feedback information to the management server, and the management server forwards the collected service information and the feedback information to the big data server and records user behavior data.

The vehicle interaction method comprises the steps of sending a service search request to a management server by obtaining an input service search request, enabling the management server to forward the service search request to a big data server, wherein the service search request carries service information to be searched, the big data server speculates the searched service content according to the service information to generate an inference result of the service content, presenting the inference result according to the received inference result, monitoring feedback information of a user, generating a service resource obtaining request according to the inference result under the condition that the feedback information of the user is monitored, and the feedback information is the resource for determining to obtain the service content, and sending the service resource obtaining request to the management server, wherein the management server obtains the resource corresponding to the service content from a resource platform for providing the service content according to the service resource obtaining request; and presenting the resources corresponding to the service contents. Therefore, the user does not need to blindly operate the operation interface of the vehicle-mounted terminal for many times to search the resource of the corresponding service content, so that on the basis of reducing the time for the user to operate the operation interface of the vehicle-mounted terminal, the user only needs to confirm whether the service content is needed or not, confirm the needed service content and then acquire the resource of the corresponding service content by presenting the presumed result of the service content to the user for confirmation, the consumption of the server can be further reduced, and the operation efficiency of the server is improved.

It should be understood that although the various steps in the flowcharts of fig. 2-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps or stages.

In one embodiment, as shown in FIG. 1, a vehicle interaction system includes: the vehicle-mounted terminal 110, the management server 120, the big data server 130, and the resource platform 140.

The vehicle-mounted terminal 110 is configured to obtain an input service search request and send the service search request to the management server 120, where the service search request carries service information to be searched.

The management server 120 is used to forward the service search request to the big data server 130.

The big data server 130 is configured to infer the searched service content from the service information, generate an inference result of the service content, and send the inference result to the management server 120.

The management server 120 is also configured to forward the estimation result to the in-vehicle terminal 110.

The vehicle-mounted terminal 110 is further configured to receive the inference result forwarded by the management server 120, generate a service resource acquisition request, and send the service resource acquisition request to the management server 120.

The management server 120 is further configured to obtain the resource corresponding to the service content from the corresponding resource platform 140 according to the service resource obtaining request, and obtain the resource corresponding to the service content from the resource platform 140 providing the service content.

The vehicle-mounted terminal 110 is also used for presenting resources corresponding to the service content.

In one embodiment, the vehicle-mounted terminal 110 is further configured to present the inference result according to the received inference result; monitoring feedback information of a user; and generating a service resource acquisition request according to the service content under the condition that the feedback information of the user is monitored and the feedback information is the resource needing to acquire the service content.

In one embodiment, in-vehicle terminal 110 is further configured to: and under the condition that the presentation mode of the presumed result is voice presentation, the presumed result is broadcasted in voice according to the received presumed result.

In one embodiment, in-vehicle terminal 110 is further configured to: and under the condition that the presentation mode of the presumed result is page display, displaying the presumed result according to the received presumed result.

In one embodiment, in-vehicle terminal 110 is further configured to: and when the estimation result comprises a plurality of pieces of service content information, highlighting the information of the service content with the highest priority according to the priority of each service content, wherein the highlighting mode comprises the following steps: at least one of bolded font, eye-catching font color, and prioritization.

In one embodiment, in-vehicle terminal 110 is further configured to: and stopping monitoring the feedback information under the condition that the feedback information is not monitored in the preset time or the feedback information is a resource for confirming that the service content does not need to be acquired.

In one embodiment, big data server 130 is further configured to: the big data server 130 performs error correction processing according to the service information and the first preset lexicon to generate error-corrected service information; the big data server 130 performs association processing according to the corrected service information, the user behavior database and the second preset lexicon to generate an association result, wherein the association result is a presumed result of the service content.

In one embodiment, in-vehicle terminal 110 is further configured to: collecting input service information and/or feedback information, and transmitting the service information or feedback information to the management server 120; the management server 120 is further configured to: forward the service information and/or feedback information to big data server 130; the big data server 130 is also used to: and adding the received service information and/or feedback information to a user behavior database.

The vehicle interaction system acquires an input service search request through the vehicle-mounted terminal and sends the service search request to the management server, wherein the service search request carries service information to be searched, the management server forwards the service search request to the big data server, the big data server speculates the searched service content according to the service information to generate an inference result of the service content and sends the inference result to the management server, the management server forwards the inference result to the vehicle-mounted terminal, the vehicle-mounted terminal receives the inference result forwarded by the management server to generate a service resource acquisition request and sends the service resource acquisition request to the management server, the management server acquires a resource corresponding to the service content from a resource platform providing the service content according to the service resource acquisition request, and the vehicle-mounted terminal presents the resource corresponding to the service content. Therefore, the user does not need to blindly operate the operation interface of the vehicle-mounted terminal for multiple times to search the resource of the corresponding service content, the user only needs to confirm whether the service content is required or not, confirm the required service content and acquire the resource of the corresponding service content on the basis of reducing the time for the user to operate the operation interface of the vehicle-mounted terminal by presenting the presumed result of the service content to the user for confirmation, the consumption of the server can be further reduced, and the operation efficiency of the server is improved.

For specific limitations of the vehicle interaction system, reference may be made to the above limitations of the vehicle interaction method, which are not described herein again.

In one embodiment, as shown in fig. 5, a vehicle interaction device is provided, which may be a part of a computer device using a software module or a hardware module, or a combination of the two, and specifically includes:

a request obtaining module 510, configured to obtain an input service search request, send the service search request to the management server, and enable the management server to forward the service search request to the big data server; the service searching request carries service information to be searched; the big data server speculates the searched service content according to the service information and generates a speculative result of the service content.

A request generating module 520, configured to generate a service resource obtaining request according to the received speculative result.

The resource obtaining module 530 is configured to send a service resource obtaining request to the management server, where the management server obtains a resource corresponding to the service content from a resource platform that provides the service content according to the service resource obtaining request.

And the resource presenting module 540 is configured to present a resource corresponding to the service content.

In one embodiment, the request generation module 520 is further configured to: presenting the speculative result according to the received speculative result; monitoring feedback information of a user; and generating a service resource acquisition request according to the service content under the condition that the feedback information of the user is monitored and the feedback information is the resource needing to acquire the service content.

In one embodiment, the request generation module 520 is further configured to: and under the condition that the presentation mode of the presumed result is voice presentation, the presumed result is broadcasted in voice according to the received presumed result.

In one embodiment, the request generation module 520 is further configured to: and under the condition that the presentation mode of the presumed result is page display, displaying the presumed result according to the received presumed result.

In one embodiment, the request generation module 520 is further configured to: and when the estimation result comprises a plurality of pieces of service content information, highlighting the information of the service content with the highest priority according to the priority of each service content, wherein the highlighting mode comprises the following steps: at least one of bolded font, eye-catching font color, and prioritization.

In one embodiment, the request generation module 520 is further configured to: and stopping monitoring the feedback information under the condition that the feedback information is not monitored in the preset time or the feedback information is a resource for confirming that the service content does not need to be acquired.

In one embodiment, the big data server speculates the searched service content according to the service information and generates a speculative result of the service content, and the method comprises the following steps: the big data server carries out error correction processing according to the service information and the first preset lexicon to generate error-corrected service information; and the big data server performs association processing according to the corrected service information, the user behavior database and the second preset lexicon to generate an association result, wherein the association result is a conjecture result of the service content.

In one embodiment, the vehicle interaction device further comprises an information sending module: the system is used for collecting input service information and/or feedback information; and forwarding the service information or the feedback information to the big data server through the management server, and adding the service information or the feedback information into a user behavior database of the big data server.

The vehicle interaction device sends a service search request to the management server by acquiring the input service search request, so that the management server forwards the service search request to the big data server, wherein the service search request carries service information to be searched, the big data server speculates the searched service content according to the service information to generate an inference result of the service content, presents the inference result according to the received inference result, monitors feedback information of a user, generates a service resource acquisition request according to the inference result under the condition that the feedback information of the user is monitored and the feedback information is the resource for determining to acquire the service content, and sends the service resource acquisition request to the management server, and the management server acquires the resource corresponding to the service content from the corresponding resource platform according to the service resource acquisition request. Therefore, the user does not need to blindly operate the operation interface of the vehicle-mounted terminal for many times to search the resource of the corresponding service content, so that on the basis of reducing the time for the user to operate the operation interface of the vehicle-mounted terminal, the user only needs to confirm whether the service content is needed or not, confirm the needed service content and then acquire the resource of the corresponding service content by presenting the presumed result of the service content to the user for confirmation, the consumption of the server can be further reduced, and the operation efficiency of the server is improved.

For specific limitations of the vehicle interaction device, reference may be made to the above limitations of the vehicle interaction method, which are not described herein again. The various modules in the vehicle interaction device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

Fig. 6 is a schematic structural diagram of a terminal device provided in an embodiment of the present application. As shown in fig. 6, the terminal device 700 of this embodiment includes: at least one processor 710 (only one shown in fig. 6), a memory 720, and a computer program 721 stored in the memory 720 and operable on the at least one processor 710, the steps in the above-described vehicle interaction method embodiments being implemented when the computer program 721 is executed by the processor 710.

The terminal device 700 may be a desktop computer, a notebook, a palm computer, a vehicle-mounted terminal, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 710, a memory 720. Those skilled in the art will appreciate that fig. 6 is merely an example of the terminal device 700, and does not constitute a limitation of the terminal device 700, and may include more or less components than those shown, or combine some of the components, or different components, such as an input-output device, a network access device, etc.

The Processor 710 may be a Central Processing Unit (CPU), and the Processor 710 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 720 may in some embodiments be an internal storage unit of the terminal device 700, such as a hard disk or a memory of the terminal device 700. The memory 720 may also be an external storage device of the terminal device 700 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal device 700. Further, the memory 720 may also include both internal and external memory units of the terminal device 700. The memory 720 is used for storing an operating system, an application program, a Boot Loader (Boot Loader), data, and other programs, such as program codes of a computer program. The memory 720 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.

The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.

When the computer program product runs on a terminal device, the steps in the method embodiments can be implemented when the terminal device executes the computer program product.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same. Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims

1. The vehicle interaction method is applicable to a vehicle-mounted terminal and comprises the following steps:

acquiring an input service search request, sending the service search request to a management server, and enabling the management server to forward the service search request to a big data server, wherein the service search request carries service information to be searched, and the big data server speculates the searched service content according to the service information and generates a speculative result of the service content;

and presenting the resources corresponding to the service content.

2. The vehicle interaction method according to claim 1, wherein the generating a service resource acquisition request according to the received conjecture result includes:

presenting the speculative result according to the received speculative result;

monitoring feedback information of a user;

and under the condition that the feedback information of the user is monitored and the feedback information is the resource needing to acquire the service content, generating the service resource acquisition request according to the service content.

3. The vehicle interaction method of claim 2, wherein said presenting the conjecture result based on the received conjecture result comprises:

and under the condition that the presentation mode of the presumed result is voice presentation, the presumed result is broadcasted in a voice mode according to the received presumed result.

4. The vehicle interaction method of claim 2, wherein said presenting the conjecture results in accordance with the received conjecture results comprises:

and under the condition that the presentation mode of the presumed result is page display, displaying the presumed result according to the received presumed result.

5. The vehicle interaction method of claim 4, wherein the displaying the conjecture result based on the received conjecture result comprises:

when the estimation result comprises information of a plurality of service contents, highlighting the information of the service content with the highest priority according to the priority of each service content, wherein the highlighting mode comprises the following steps: at least one of bolded font, eye-catching font color, and prioritization.

6. The vehicle interaction method according to claim 2, wherein after the step of obtaining the input service search request, sending a service search request to a management server, and causing the management server to forward the service search request to a big data server, further comprising:

collecting and inputting the service information and/or the feedback information;

and forwarding the service information and/or the feedback information to the big data server through a management server, and adding the service information and/or the feedback information into a user behavior database of the big data server.

7. A vehicle interaction system, comprising: the system comprises a vehicle-mounted terminal, a management server, a big data server and a resource platform;

8. A vehicle interaction device, comprising:

9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.