CN112528126A

CN112528126A - Method, medium and electronic device for generating and acquiring warranty rate label of vehicle

Info

Publication number: CN112528126A
Application number: CN202110033794.1A
Authority: CN
Inventors: 司学峰
Original assignee: Beijing Precision Communication Media Technology Co ltd
Current assignee: Beijing Precision Communication Media Technology Co ltd
Priority date: 2021-01-12
Filing date: 2021-01-12
Publication date: 2021-03-19

Abstract

The invention relates to a method, medium and electronic device for generating and acquiring a value guarantee rate label of a vehicle. The method for generating the value-retention rate label comprises the following steps: determining a first warranty rate as an nth year warranty rate for each vehicle in the vehicle model library; determining the corresponding vehicle type of each vehicle according to the vehicle metadata information; determining a second warranty rate as an nth annual warranty rate of each vehicle category based on nth annual warranty rate information of a plurality of vehicles of the same category included in the vehicle category; calculating a relative value-keeping rate index of the vehicle including the target vehicle relative to the nth year of the vehicle class to which the target vehicle belongs based on the first value-keeping rate and the second value-keeping rate of the vehicle, and classifying the value-keeping rate of the target vehicle in the nth year; and generating an nth annual value-keeping rate label of the target vehicle according to the classification result. The invention makes up the defect that the vehicle portrait lacks a value-preserving rate label in the prior art, and enables a user to know the target vehicle more comprehensively.

Description

Method, medium and electronic device for generating and acquiring warranty rate label of vehicle

Technical Field

The invention relates to the technical field of vehicle portrayal, in particular to a method for generating a value-guarantee rate label of a vehicle, a method for acquiring the value-guarantee rate label of the vehicle, a medium and electronic equipment.

Background

In the prior art, based on mining, collecting and processing of vehicle data of the whole network, a vehicle image can be generated, and the vehicle image can be used for representing the overall and/or local attributes of the vehicle, so that a user can conveniently and quickly know the information of the aspects of the vehicle. For example, a vehicle representation of a vehicle may include the following information: good stable control of the vehicle body, good active braking, small interior decoration peculiar smell, large wind noise and the like. However, image information relating to a vehicle maintenance ratio is lacking in the conventional vehicle image information.

Currently, a user can inquire the value retention rate of a vehicle on each automobile media website, but the value retention rate of the vehicle is only a simple percentage value, and a customer cannot intuitively understand the value retention rate attribute reflected by the value retention rate of each year of the vehicle only according to the percentage values.

Disclosure of Invention

The invention aims to provide a method for generating a value guarantee rate label of a vehicle, a method for acquiring the value guarantee rate label of the vehicle, a medium and an electronic device, so as to overcome the defect that a vehicle image lacks value guarantee rate image information in the prior art.

According to an aspect of the present invention, there is provided a method of generating a warranty rate label for a vehicle, comprising: determining a first value-keeping rate which is the n-th annual value-keeping rate of each vehicle including the target vehicle in the vehicle type library, wherein n is a natural number; determining a corresponding vehicle category to which each vehicle belongs according to at least one piece of vehicle metadata information; determining a second warranty rate as an nth annual warranty rate of each vehicle category based on the information on the warranty rates of the nth year of a plurality of vehicles of the same category included in each vehicle category; calculating a relative warranty rate index of the respective vehicle including the target vehicle with respect to an nth year of a vehicle category to which the respective vehicle belongs, based on the first warranty rate of the respective vehicle and the second warranty rate of the vehicle category to which the respective vehicle belongs; classifying the value-keeping rate of the nth year of the target vehicle by using the calculated relative value-keeping rate index of the nth year of each vehicle; and generating a value-retention rate label for describing the value-retention rate attribute of the nth year of the target vehicle according to the classification result.

According to still another aspect of the present invention, there is provided a method of obtaining a warranty rate label of a vehicle, including: sending a query request about the target vehicle to a server; receiving a guaranteed rate tag of the nth year of the target vehicle returned by the server, wherein the guaranteed rate tag of the nth year of the target vehicle is generated according to the method described above, or receiving a guaranteed rate tag of the 1 st to mth years of the target vehicle returned by the server, wherein the guaranteed rate tag of the 1 st to mth years of the target vehicle is generated according to the method described above; displaying the received warranty rate label.

According to another aspect of the invention, there is provided a non-transitory computer-readable medium having stored thereon computer-executable code which, when executed by a processor, implements the above-described method.

According to yet another aspect of the present invention, there is provided an electronic device comprising a processor, a memory, and computer executable code stored thereon, which when executed by the processor implements the above method.

By using the method for generating the value retention rate label of the vehicle, the value retention rate of the nth year of the target vehicle is classified based on the relative value retention rate index of each vehicle including the target vehicle relative to the nth year of the vehicle class to which the target vehicle belongs, the value retention rate level of the target vehicle in the vehicle class to which the target vehicle belongs and the value retention rate level of the target vehicle in the whole vehicle type library can be effectively and comprehensively measured, so that the value retention rate label for describing the value retention rate attribute of the nth year of the target vehicle can be generated according to the classification result, the generated value retention rate label can be used for forming a part of the vehicle image, the defect that the vehicle image in the prior art is lack of the value retention rate label is overcome, and a user can more comprehensively know the target vehicle.

Drawings

In the drawings, which are not necessarily drawn to scale, like reference numerals may describe similar components in different views. The drawings illustrate various embodiments generally by way of example and not by way of limitation, and together with the description and claims serve to explain the disclosed embodiments. The same reference numbers will be used throughout the drawings to refer to the same or like parts, where appropriate. Such embodiments are illustrative, and are not intended to be exhaustive or exclusive embodiments of the present system or method.

FIG. 1 is a flow chart illustrating a method for generating a warranty rate label for a vehicle according to an embodiment of the invention.

FIG. 2 is a flowchart illustrating a method for obtaining a warranty rate label of a vehicle according to an embodiment of the invention.

Detailed Description

Various aspects and features of the disclosure are described herein with reference to the drawings. These and other characteristics of the invention will become apparent from the following description of a preferred form of embodiment, given as a non-limiting example, with reference to the accompanying drawings.

The specification may use the phrases "in one embodiment," "in some embodiments," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the disclosure. Note that, throughout the specification, the same or similar reference numerals denote the same or similar elements, and unnecessary repetitive description is omitted. Furthermore, the singular reference of an element in the embodiments does not exclude the plural reference of such elements.

FIG. 1 is a flow chart illustrating a method for generating a warranty rate label for a vehicle according to an embodiment of the invention. As shown in FIG. 1, a method 100 of generating a warranty rate label for a vehicle includes:

step 101, determining a first warranty rate as an nth annual warranty rate of each vehicle including the target vehicle in the vehicle type library, wherein n is a natural number.

The target vehicle is, for example, various types of vehicles such as audi A4L, audi A6L, gallo V, gallo R, gallo GLS AMG, gallo GLS, gallo GLA, and gallo GLA (import), and the reference to "vehicle" in the above may refer to a vehicle family name or a vehicle model name further subdivided than the vehicle family, and the present invention may be applied as long as the warranty rate data of the corresponding vehicle family/model and the warranty rate data of the vehicle family/model of the same type as the vehicle can be acquired. For example, the warranty rate data for various vehicles may be queried from the vehicle media website or corresponding database. In this context, the nth year warranty rate of a vehicle refers to the warranty rate of n years added from the new year of sale of the vehicle. For example, the 1 st year warranty rate is the warranty rate of the next year of the new car of the vehicle plus 1 year. Specifically, for example, when a vehicle is sold in 2020, the 1 st year premium rate refers to the 2021 year premium rate, and the rest of the years can be analogized.

And 103, determining the corresponding vehicle type of each vehicle according to at least one piece of vehicle metadata information.

The metadata information of the vehicle, i.e., the attribute or parameter configuration information of the vehicle, includes a description of the attribute or parameter configuration of the vehicle as a whole and/or in part, such as the power, appearance, handling, structure, etc. of the vehicle. In some embodiments, the at least one vehicle metadata information of the vehicle may include, but is not limited to: at least one of a vehicle model structure, a new vehicle selling price, a power type, a gearbox type and an on-sale state. The vehicle type structure may include, for example: two-compartment vehicles, three-compartment vehicles, SUVs, MPVs, hard-top sports cars, hard-top convertible cars, etc. The specific type of the vehicle model structure can be defined and classified differently according to market needs, field experience, etc., and this document gives only an example. Vehicle type structures, for example, can also be classified as: small-sized vehicles, medium-sized vehicles, SUVs, MPVs, sports cars, and the like. The gearbox types may for example include: double clutch, manual-automatic integration, stepless, etc. The types of power may include, for example: oil vehicles, new energy (electric only), hybrid vehicles, etc.

In one embodiment, the respective vehicle categories to which the respective vehicles belong may be determined according to the vehicle type structures. Specifically, the vehicle type structure can be searched in the vehicle database, and a plurality of vehicles of the same category with the same vehicle type structure can be inquired. In another embodiment, the vehicle categories to which the respective vehicles belong can be determined jointly according to the two metadata information of the vehicle type structure and the new vehicle selling price, that is, the vehicle categories with the same vehicle type structure (two-carriage vehicle, three-carriage vehicle, SUV, MPV, hard-top sports vehicle or hard-top convertible vehicle) and the same new vehicle selling price interval (such as less than 15 ten thousand, less than 15 ten thousand-25 ten thousand or more than 25 ten thousand) are determined, including: two-carriage vehicles and less than 15 ten thousand; two-carriage vehicles and 15-25 ten thousand categories; two-carriage vehicles and over 25 ten thousand categories; three-carriage vehicles and 15 ten thousand or less; three-carriage vehicles and 15-25 ten thousand categories; … …, and the like. The specific selling price examples of the new car selling price interval recited herein are only examples, and in fact, the new car selling price interval may be divided more finely or may be reasonably divided by field experts according to experience.

Step 105 determines a second warranty rate, which is the n-th annual warranty rate of each vehicle type, based on the information on the warranty rates of the n-th years of a plurality of vehicles of the same type included in each vehicle type. That is, the second warranty rate is an nth year warranty rate reflecting the entirety of the vehicles included in each vehicle category. In one embodiment, the required vehicle warranty rate data may be obtained from the vehicle media website or queried from a corresponding database, such that a second warranty rate may be determined as the nth year warranty rate for each vehicle category by selecting a median or average of the set of warranty rate data for all vehicles in each category.

And step 107, calculating a relative warranty rate index of the target vehicle relative to the nth year of the vehicle class to which the target vehicle belongs based on the first warranty rate and the second warranty rate.

And step 109, classifying the value-keeping rate of the nth year of the target vehicle by using the calculated relative value-keeping rate index of the nth year of each vehicle.

And step 111, generating a value-retention rate label for describing the value-retention rate attribute of the nth year of the target vehicle according to the classification result.

By using the method for generating the value retention rate label of the vehicle of the embodiment, the value retention rate of the nth year of the target vehicle is classified based on the relative value retention rate index of each vehicle including the target vehicle relative to the nth year of the vehicle category to which the target vehicle belongs, so that the value retention rate level of the target vehicle in the vehicle category to which the target vehicle belongs and the value retention rate level of the target vehicle in the whole vehicle type library can be effectively and comprehensively measured, and therefore, the value retention rate label for describing the value retention rate attribute of the nth year of the target vehicle can be generated according to the classification result, the generated value retention rate label can be used for forming a part of the vehicle image, the defect that the vehicle image is lack of the value retention rate label in the prior art is overcome, and a user can more comprehensively know the target vehicle.

In one embodiment, step 101 may comprise: acquiring corresponding first value-keeping rate sets formed by the nth year value-keeping rates of all vehicles from different data sources; determining the median or mean of the respective first warranty rate sets for the respective vehicles as the first warranty rates for the respective vehicles. Different data sources refer to different sources of warranty rate data for the vehicle. For example, the guaranteed value rate data for the same vehicle, which can be queried on multiple (car) media websites, may also differ due to different sources of information on different media. In some cases, there may be instances where the warranty rate data is erroneous. The first value-keeping rate of the target vehicle is determined by collecting the value-keeping rates of the vehicles of different data sources, so that the value-keeping rate of the target vehicle serving as basic data can be ensured to be more reliable and accurate, and the value-keeping rate data of a plurality of data sources can be closer to the real value-keeping rate data of the vehicle by comprehensively considering.

In one embodiment, step 105 may comprise: acquiring corresponding second insurance rate sets formed by the nth year insurance rates from different data sources of a plurality of vehicles of the same category contained in each vehicle category; determining the median or mean of each second warranty rate set as the second warranty rate for each vehicle category. By aggregating the warranty rates of vehicles of the same category of different data sources to determine the second warranty rate for the nth year for each vehicle category, the reliability and accuracy of the second warranty rate may be ensured.

In some embodiments, the vehicle's warranty rate data from various different data sources may be crawled, for example, by crawler technology, with which multiple media (i.e., data sources) may be crawled for each car from a 1 st year to a 10 th year warranty rate, for example. These different data sources may include, but are not limited to: automobile vertical media (or simply, automobile vertical media) and/or other websites, Applications (APP), databases, Application Program Interfaces (API), servers, etc. that provide automobile warranty rates. After the value-retention rate data of different data sources of each vehicle are captured, data management work such as data cleaning and NLP (natural language processing) entity reduction can be carried out to obtain high-quality data, and the obtained high-quality value-retention rate data can be used for constructing or expanding an automobile industry knowledge graph/knowledge base/database or updating the high-quality value-retention rate data into the existing automobile industry knowledge graph/knowledge base/database. Therefore, when the method for generating the guaranteed value rate label of the vehicle is executed, the guaranteed value rate of the vehicle can be conveniently acquired from the automobile industry knowledge map/knowledge base/database, and the first guaranteed value rate and the second guaranteed value rate are determined based on the first guaranteed value rate set and the second guaranteed value rate set obtained by the acquired guaranteed value rate data.

In one embodiment, the method further comprises a step of removing abnormal values in the first and second guaranteed rate sets, wherein the abnormal values are maximum values and minimum values, and by removing the abnormal values, the science and the reasonability of the guaranteed rate basic data can be ensured.

In one embodiment, in step 107, the ratio of the first warranty rate of each vehicle to the second warranty rate of the category to which it belongs may be used as the relative warranty rate index for the nth year; in another embodiment, the difference between the first warranty rate of each vehicle and the second warranty rate of its category may be used as the relative warranty rate index for the nth year in step 107.

In some embodiments, step 109 may comprise: sorting the relative value-keeping rate indexes of the nth year of each vehicle from high to low; and classifying the value-preserving rate of the nth year of the target vehicle according to the sequencing position of the target vehicle and the preset grading value.

In one embodiment, if the relative warranty rate index of the nth year of the target vehicle is ranked before the predetermined first ranking value, then classifying the warranty rate of the nth year of the target vehicle into a first category indicating that the warranty rate of the nth year of the vehicle is high; classifying the guaranteed rating of the nth year of the target vehicle into a second category representing a guaranteed rating of the nth year of the vehicle if the ranking of the relative guaranteed rating index of the nth year of the target vehicle is between a predetermined first ranking value and a predetermined second ranking value, wherein the first ranking value is less than the second ranking value; if the relative warranty rate index of the nth year of the target vehicle is ranked after the predetermined second ranking value, then the warranty rate of the nth year of the target vehicle is classified into a third category indicating that the warranty rate of the nth year of the vehicle is low.

In another embodiment, similar to the above embodiment, the sorted queue of the relative guaranteed value rate index of the nth year of each vehicle is divided into four sub-queues according to the first, second and third ranking values, and the category to which the guaranteed value rate of the nth year of the target vehicle belongs is determined according to the sorted position of the target vehicle (i.e., to which sub-queue).

In one embodiment, the above-described quantile values may be set based on data analysis results of the relative warranty rate index for the nth year of each vehicle, and optionally adjusted by a domain expert. In an alternative embodiment, the above described quantile value may be set directly by a domain expert. In another alternative embodiment, the above-mentioned quantile value is determined based on the acquired vehicle public-word data. Specifically, on the basis of acquiring a large amount of vehicle public praise data (for example, capturing from one or more media websites through a distributed crawler technology or acquiring from related data sources), public praises with high and low evaluation rates on the warranty rate are extracted from the public praise data, for example, keyword extraction can be performed on the public praise data, comment sentences with the warranty rate are extracted, then evaluation collocation of the keywords is extracted (for example, through syntactic dependency analysis processing), then the evaluation on the warranty rate in the extracted comment sentences is determined to be high, medium or low through emotional tendency determination means such as emotional color classification, and a first group of vehicles with high warranty rate evaluation number in the front row (for example, the top Q, Q is a natural number, generally, Q is greater than or equal to 5) and a first group of vehicles with low warranty rate (or poor) evaluation number in the front row (for example, the top W, w is a natural number, generally, W may be greater than or equal to 5), and then the first ranking value is determined according to the ranking positions of the vehicles in the front row in the ranking queue of the relative warranty rate index, for example, the first ranking value is set such that the ranking positions of the vehicles in the first group are all before the first ranking value, and the second ranking value is determined according to the ranking positions of the vehicles in the front row in the ranking queue of the relative warranty rate index, for example, the second ranking value is set such that the ranking positions of the vehicles in the second group are all after the second ranking value. The place-grading value set in this way is set based on the automobile public praise data, so that the accuracy of classification can be ensured. Although it is possible to analyze and process the word-of-mouth data to obtain the label that the guarantee rate of the vehicle is evaluated as high, medium, or low as described above, since the relevant word-of-mouth data does not exist for the guarantee rate of each type of vehicle, the guarantee rate label cannot be generated for each vehicle in the vehicle model library. However, by using the embodiment of the invention, the value-guarantee rate label can be generated for each vehicle in the vehicle type library, so that the vehicle image of each vehicle in the vehicle type library can be provided with the value-guarantee rate label, and a user can comprehensively know each vehicle.

Although an example of setting the third place value is not specifically mentioned, it is understood by those skilled in the art that the third place value may be set similarly to the setting manner of the place value in this embodiment, for example, the emotional color classification acquires four emotional colors for the value retention rate, corresponding to four categories of good, medium, and poor, for example. Although it is mentioned above that the word-of-mouth including the high or low evaluation of the warranty rate is extracted by the emotional tendency determination means such as the emotional classification, in some alternative embodiments, the comment sentences including the words matching the words having the high or low evaluation in the evaluation word bank may be obtained by simply setting the evaluation word banks having the high, medium, and low evaluation of the warranty rate, respectively, and on the basis of this, the comment sentences of the vehicle may be determined as the high or low evaluation warranty rate, thereby performing the above-mentioned summary counting.

For example, setting the first ranking value to 10%, the second ranking value to 70%, means that the vehicles with the nth relative warranty rate index in the top 10% of the queue will be classified as the first category, the vehicles with the nth relative warranty rate index in the range of 10% -70% of the queue will be classified as the second category, and so on. The specific values of the first and second scores are merely used for illustration, and are not to be construed as specific limitations of the present invention.

In one embodiment, when the classification result in step 109 is a first category indicating that the warranty rate of the nth year of the target vehicle is high, a label describing that the warranty rate of the nth year is high is correspondingly generated for the target vehicle, and similarly, when the classification result is a second category indicating that the warranty rate is medium, a label describing that the warranty rate is medium is correspondingly generated, and when the classification result is a third category indicating that the warranty rate is low, a label describing that the warranty rate is low is correspondingly generated. In another embodiment, the generated warranty rate labels include: four types of tags for describing the good, medium or poor warranty rate of the target vehicle.

In one embodiment, the value of n is traversed from 1 to M, and the above steps are repeated to generate a value-retention rate label of the target vehicle from the 1 st year to the M th year, where M is a natural number greater than 1, and for example, M may be 8 or 10. Thus, a warranty rate label for a plurality of years for the target vehicle may be generated. In one embodiment, the assessment results may be updated (stored) into the vehicle knowledge base/knowledge graph/database for later querying.

In a further embodiment, the generated warranty rate labels for multiple years of the target vehicle may be aggregated and analyzed, such as counting the years for which the warranty rate label for the target vehicle is high, medium, or poor. These data may be used by vehicle manufacturers to perform deep analysis of vehicles they produce or compete for vehicles of interest.

In the following embodiment, a method for obtaining a warranty rate label of a vehicle is provided, as shown in fig. 2, a flow of the method 200 for obtaining the warranty rate label of the vehicle includes:

step 201, a query request about a target vehicle is sent to a server. The query request may be submitted by a user, for example.

Step 203 receives the value-keeping rate label of the nth year of the target vehicle returned by the server, which is generated by the above method for generating the value-keeping rate label of the target vehicle.

Step 205, displaying the received value guarantee rate label. For example, the warranty rate is high, the warranty rate is medium, or the warranty rate is low.

In one embodiment, the guaranteed rate tags for year 1 through year M of the target vehicle returned by the server are received at step 203, and the received guaranteed rate tags are displayed at step 205. In another embodiment, the warranty rate tags of the 1 st year to the mth year of the target vehicle returned by the server are received at step 203, and only the tag whose warranty rate is high and the corresponding year are displayed at step 205. In a further embodiment, in step 205, the change of the high, medium and low warranty rates of the target vehicle over a plurality of years is displayed in the form of a line graph, so that the user can more intuitively and comprehensively know the warranty rate information of the target vehicle. In another embodiment, the warranty rate labels are displayed in step 205 in a graph or table such as a bar graph, or the like. Thus, the user can more comprehensively understand the target vehicle.

It is noted that changes in the order of certain steps may be made within the spirit and scope of the invention, and such changes are encompassed within the scope of the invention as claimed. For example, the second warranty rate may be determined prior to determining the first warranty rate.

In an embodiment of the invention, there is also provided a non-transitory computer-readable medium having stored thereon computer-executable code that, when executed by a processor, is capable of implementing any of the method embodiments described above. The computer readable medium may include magnetic, semiconductor, tape, optical, removable, non-removable, or other types of computer readable medium or computer readable storage device. For example, as disclosed, the computer-readable medium may be a storage device or memory module having stored thereon computer instructions. In some embodiments, the computer readable medium may be a disk or flash drive having computer instructions stored thereon.

An embodiment of the present disclosure further provides an electronic device, including a processor, a memory, and computer executable code stored thereon, wherein: one or more of the method embodiments described above are implemented when the processor executes the computer executable code.

The electronic device of an embodiment may be a server, for example, a server disposed in a cloud, or a general electronic device, and is typically used to implement an embodiment of the present disclosure for generating a vehicle warranty rate tag. The server or general electronic device may generate a guaranteed rate label for each vehicle for its respective year, and may store the respective guaranteed rate label for each vehicle for later querying in a database. The server can also simply acquire the vehicle warranty rate label obtained by the electronic equipment executing the embodiment of the method of the invention. The electronic device of the embodiment may also be a customer premises device or a general computing device, and is used to implement the method embodiments for obtaining the warranty rate label of the vehicle, where the customer premises device is, for example, a desktop computer, a notebook computer, a smart phone, a tablet computer, and the like, and each method embodiment may be run on the electronic device in the form of a standalone APP, application software, a module of the application software, an applet embedded in a web page, a wechat applet, an access through a browser, a service, or a component. The processor may be a Complex Instruction Set Computing (CISC) microprocessor, a Reduced Instruction Set Computing (RISC) microprocessor, a Very Long Instruction Word (VLIW) microprocessor, a processor running other instruction sets, or a processor running a combination of instruction sets. As will be appreciated by those skilled in the art, in some embodiments, the processor may be a special purpose processor rather than a general purpose processor.

The processor may include one or more known processing devices, such as a Pentium (TM), Core (TM), Xeon (TM) or Itanium (TM) family of microprocessors manufactured by Intel corporation, a Turion (TM), Athlon (TM), Sempron (TM), Opteron (TM), FXTM, Phonom (TM) family of microprocessors manufactured by AMD corporation, or any of a variety of processors manufactured by Sun Microsystems. The processor may also include a graphics processing unit, such as a GPU from the family manufactured by Nvidia, GMA manufactured by Intel, the Iris, or the Radeon, series of GPUs manufactured by AMD. The processor may also include an accelerated processing unit such as the desktop A-4(6, 8) series manufactured by AMD, Inc., or the Xeon Phi (TM) series manufactured by Intel, Inc. The disclosed embodiments are not limited to any type of processor. In addition, the term "processor" may include more than one processor, e.g., a multi-core design or multiple processors, each of which has a multi-core design. The processor may execute sequences of computer program instructions stored in the memory to perform the various operations, processes, methods disclosed herein. The memory may include Read Only Memory (ROM), flash memory, Random Access Memory (RAM), Dynamic Random Access Memory (DRAM) such as synchronous DRAM (sdram) or Rambus DRAM, static memory (e.g., flash memory, static random access memory), etc., on which computer-executable instructions are stored in any format. In some embodiments, the memory may store computer-executable instructions of one or more split programs. The computer program instructions may be accessed by the processor, read from ROM or any other suitable storage location, and loaded into RAM for execution by the processor. The memory may store a plurality of software modules for implementing various steps of a warranty rate label generation method/method of obtaining a vehicle warranty rate label consistent with the present disclosure.

Various operations or functions are described herein that may be implemented as or defined as software code or instructions. Such content may be directly executable source code or difference code ("delta" or "block" code) ("object" or "executable" form). The software code or instructions may be stored in a computer-readable storage medium and, when executed, may cause a machine to perform the functions or operations described, and include any mechanism for storing information in a form accessible by a machine (e.g., a computing device, an electronic system, etc.), such as recordable or non-recordable media (e.g., Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media, optical storage media, flash memory devices, etc.).

The term "comprising" synonymous with "including," "containing," or "characterized by," is non-exclusive or open-ended and does not exclude additional, unrecited elements or method steps. "comprising" is a term of art used in claim language that means that the named element is essential, but that other elements can be added and still form a structure within the scope of the claims.

As used herein, the term "and/or," when used in the context of a list of entities, refers to the entities appearing alone or in combination. Thus, for example, the phrases "A, B, C, and/or D" include A, B, C and D, respectively, but also include any and all combinations and subcombinations of A, B, C and D.

The above embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and the scope of the present invention is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present invention, and such modifications and equivalents should also be considered as falling within the scope of the present invention.

Claims

1. A method of generating a warranty rate label for a vehicle, comprising:

determining a first value-keeping rate which is the n-th annual value-keeping rate of each vehicle including the target vehicle in the vehicle type library, wherein n is a natural number;

determining a corresponding vehicle category to which each vehicle belongs according to at least one piece of vehicle metadata information;

determining a second warranty rate as an nth annual warranty rate of each vehicle category based on the information on the warranty rates of the nth year of a plurality of vehicles of the same category included in each vehicle category;

calculating a relative warranty rate index of the respective vehicle including the target vehicle with respect to an nth year of a vehicle category to which the respective vehicle belongs, based on the first warranty rate of the respective vehicle and the second warranty rate of the vehicle category to which the respective vehicle belongs;

classifying the value-keeping rate of the nth year of the target vehicle by using the calculated relative value-keeping rate index of the nth year of each vehicle;

and generating a value-retention rate label for describing the value-retention rate attribute of the nth year of the target vehicle according to the classification result.

2. The method of claim 1, wherein the classifying the target vehicle's guaranteed rating for the nth year based on the calculated relative guaranteed rating index for the nth year for the respective vehicles comprises:

sorting the relative value-keeping rate indexes of the nth year of each vehicle from high to low;

and classifying the value-preserving rate of the nth year of the target vehicle according to the sequencing position of the target vehicle and a preset grading value.

3. The method of claim 1, wherein determining the first warranty rate as an nth annual warranty rate for each vehicle in the vehicle model library comprises:

acquiring corresponding first value-keeping rate sets formed by the nth year value-keeping rates of the vehicles from different data sources;

determining a median or mean of respective first guaranteed rate sets for the respective vehicles as the first guaranteed rates for the respective vehicles.

4. The method according to claim 1, wherein the determining a second warranty rate as the n-th annual warranty rate of each vehicle category based on the information on the warranty rates of the n-th years of a plurality of vehicles of the same category included in each vehicle category includes:

acquiring corresponding second value-retention rate sets formed by the nth annual value-retention rates from different data sources of a plurality of vehicles of the same category contained in each vehicle category;

determining the median or mean of the respective second warranty rate sets as the second warranty rates for the respective vehicle categories.

5. The method of claim 1, wherein: the at least one vehicle metadata information includes: vehicle model configuration, new vehicle selling price, power type, gearbox type, and in-sale state.

6. The method of claim 1, wherein said calculating a relative warranty rate index for each vehicle with respect to the nth year of the vehicle class to which it belongs comprises:

calculating a ratio of the first warranty rate to the second warranty rate, the ratio being used as a relative warranty rate index for the target vehicle with respect to the nth year of the vehicle class to which the target vehicle belongs.

7. The method of claim 1, further comprising:

traversing the value of n from 1 to M, and repeating the steps to generate the value-preserving rate label of the target vehicle from the 1 st year to the M th year, wherein M is a natural number greater than 1.

8. A method of obtaining a warranty rate label for a vehicle, comprising:

sending a query request about the target vehicle to a server;

receiving a guaranteed rate tag for the nth year of the target vehicle returned by the server, wherein the guaranteed rate tag for the nth year of the target vehicle is generated according to the method of any one of claims 1-6, or

Receiving a guaranteed rate tag for year 1 to year M of the target vehicle returned by the server, wherein the guaranteed rate tag for year 1 to year M of the target vehicle is generated according to the method of claim 7;

displaying the received warranty rate label.

9. A non-transitory computer-readable medium having stored thereon computer-executable code, wherein the computer-executable code, when executed by a processor, implements the method of any of claims 1-8.

10. An electronic device comprising a processor, a memory, and computer executable code stored thereon, characterized in that: the processor, when executing the computer executable code, implementing the method of any one of claims 1-8.