CN109218770B - Method, device and equipment for evaluating automobile repair video - Google Patents
Method, device and equipment for evaluating automobile repair video Download PDFInfo
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- CN109218770B CN109218770B CN201811220577.8A CN201811220577A CN109218770B CN 109218770 B CN109218770 B CN 109218770B CN 201811220577 A CN201811220577 A CN 201811220577A CN 109218770 B CN109218770 B CN 109218770B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/252—Processing of multiple end-users' preferences to derive collaborative data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/254—Management at additional data server, e.g. shopping server, rights management server
Abstract
The evaluation method of the automobile repair video comprises the following steps: determining a vehicle type corresponding to the content of the automobile repair video, and determining a first score of the automobile repair video according to the market share of the vehicle type and/or the technical problem popularity of the vehicle type; acquiring the number of people concerned and/or the access amount of the automobile repair video after the automobile repair video is put on shelf, and determining a second score of the automobile repair video; determining a third score of the automobile repair video according to the evaluation result of the technical staff with the preset profession on the automobile repair video; and determining the evaluation score of the video for the vehicle repair based on the first score as a basic evaluation factor, wherein the additional evaluation factor further comprises a second score and/or a third score. Because the calculation of the evaluation score combines the market condition of the vehicle type of the video content and the evaluation result of the video attention and/or the technicians with scheduled occupation, the evaluation result is more accurate and reliable, and the important videos can be obtained more accurately according to the evaluation score to be recommended.
Description
Technical Field
The application belongs to the field of automobile repair, and particularly relates to a method, a device and equipment for evaluating automobile repair videos.
Background
With the increasing number of automobiles, society has an increasing demand for automobile repair services. With the development of internet technology, watching teaching videos through the internet also becomes the main way and method for the maintenance technicians to learn the automobile repair (auto repair) technology at present. With the increasing number of videos, it is difficult for a user who learns the steam repair technology to quickly find a required steam repair video, and therefore it is very important to evaluate the steam repair video.
The existing method for evaluating the automobile repair video generally evaluates based on media propagation and media attention, and because the media attention has little influence on the importance of video content, the importance of the automobile repair video cannot be more accurately reflected, so that the important automobile repair video cannot be accurately recommended to a user.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, an apparatus, and a device for evaluating a car repair video, so as to solve the problem that the evaluation method of a car repair video in the prior art cannot accurately reflect the importance of the car repair video and cannot accurately recommend an important car repair video to a user.
A first aspect of an embodiment of the present application provides a method for evaluating a repair video, where the method for evaluating a repair video includes:
determining a vehicle type corresponding to the content of the automobile repair video, and determining a first score of the automobile repair video according to the market share of the vehicle type and/or the technical problem popularity of the vehicle type;
acquiring the number of people concerned and/or the access amount of the automobile repair video after the automobile repair video is put on shelf, and determining a second score of the automobile repair video;
determining a third score of the automobile repair video according to the evaluation result of the technical staff with the preset profession on the automobile repair video;
and determining the evaluation score of the video for the vehicle repair based on the first score as a basic evaluation factor, wherein the additional evaluation factor further comprises a second score and/or a third score.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the evaluation factor further includes a fourth score and a corresponding weight, and the method further includes:
acquiring the purchase times and/or the purchased feedback content of a customer after the automobile repair video is put on shelf;
and determining a fourth score of the vehicle repair video according to the purchase times and/or the purchased feedback content.
With reference to the first aspect, in a second possible implementation manner of the first aspect, the evaluation factor further includes a fifth value and a corresponding weight value, and the method further includes:
the method comprises the steps of obtaining the attention degree of a live steam repair video during live broadcasting, wherein the attention degree of the live steam repair video during live broadcasting comprises one or more of the number of users watching the live steam repair video, the attention reminding number of the live steam repair video and the feedback heat intensity of the live steam repair video;
and determining a fifth value of the steam repair video according to the attention degree of the steam repair video in live broadcasting.
With reference to the first aspect, in a third possible implementation manner of the first aspect, the evaluation factor further includes a sixth score and a corresponding weight, and the method further includes:
acquiring a media propagation index of the vehicle repair video, wherein the media propagation index comprises the watching times of a sharing link of the vehicle repair video;
and determining a sixth score of the vehicle repair video according to the media propagation index of the vehicle repair video.
With reference to the first aspect, the first possible implementation manner of the first aspect, the second possible implementation manner of the first aspect, or the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, before the step of determining the evaluation score of the vapour repair video, the method further includes:
determining the on-shelf state of the automobile repair video, wherein the on-shelf state comprises an on-shelf state and an off-shelf state;
and searching the score type corresponding to the on-shelf state of the automobile repair video according to the preset corresponding relation between the on-shelf state and the score type.
A second aspect of the embodiments of the present application provides an evaluation apparatus for a repair video, where the evaluation apparatus for a repair video includes:
the system comprises a first score determining unit, a second score determining unit and a third score determining unit, wherein the first score determining unit is used for determining a vehicle type corresponding to the content of the automobile repair video and determining a first score of the automobile repair video according to the market share of the vehicle type and/or the technical problem popularity of the vehicle type;
the second score determining unit is used for acquiring the number of people concerned and/or the visit amount after the automobile repair video is put on shelf and determining a second score of the automobile repair video;
the third score determining unit is used for determining a third score of the automobile repair video according to the evaluation result of the technical staff with the preset profession on the automobile repair video;
and the score evaluation unit is used for determining the evaluation score of the vehicle-modified video based on the first score as a basic evaluation factor, and the additional evaluation factor further comprises a second score and/or a third score.
With reference to the second aspect, in a first possible implementation manner of the second aspect, the evaluation factor further includes a fourth score and a corresponding weight, and the apparatus further includes:
the feedback unit is used for acquiring the purchase times and/or the purchased feedback content of the clients after the automobile repair videos are put on shelves;
and the fourth score determining unit is used for determining a fourth score of the vehicle repair video according to the purchase times and/or the purchased feedback content.
With reference to the second aspect, in a second possible implementation manner of the second aspect, the evaluation factor further includes a fifth value and a corresponding weight value, and the apparatus further includes:
the attention degree acquiring unit is used for acquiring the attention degree of the live steam repair video during live broadcasting, wherein the attention degree of the live steam repair video during live broadcasting comprises one or more of the number of users watching the live steam repair video, the attention reminding number of the live steam repair video and the heat intensity of feedback of the live steam repair video;
and the fifth value determining unit is used for determining a fifth value of the steam repair video according to the attention degree of the steam repair video in live broadcasting.
A third aspect of the embodiments of the present application provides an evaluation apparatus for a repair video, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method for evaluating a repair video according to any one of the first aspect when executing the computer program.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method for evaluating a repair video according to any one of the first aspect.
Compared with the prior art, the embodiment of the application has the advantages that: the method comprises the steps of respectively generating a first score, a second score and a third score by combining the market share of a vehicle type corresponding to the vehicle video content and/or the technical problem popularity of the vehicle type, the attention number and/or the visit amount of the vehicle repair video after the vehicle repair video is put on shelf and the evaluation result of the vehicle repair video by a technician with a preset occupation, and determining the evaluation score of the vehicle repair video by combining the second score and the third score based on the first score. Because the calculation of the evaluation score combines the market condition of the vehicle type of the video content and the evaluation result of the video attention and/or the technicians with scheduled occupation, the evaluation result is more accurate and reliable, and the important videos can be obtained more accurately according to the evaluation score to be recommended.
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 based on these drawings without inventive exercise.
Fig. 1 is a schematic diagram of an evaluation scene of a vehicle repair video provided in an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating an implementation process of an evaluation method for a vehicle repair video according to an embodiment of the present application;
fig. 3 is a schematic flow chart illustrating an implementation of another method for evaluating a vehicle repair video according to an embodiment of the present application;
fig. 4 is a schematic diagram of an evaluation apparatus for a vehicle repair video according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of an evaluation apparatus for a repair video provided in 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.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Fig. 1 is a schematic view of an implementation scenario of evaluation of a repair video according to an embodiment of the present application, where the implementation scenario of evaluation of a repair video includes a server and one or more terminals, where the server stores a repair video that can be used for live broadcast or on-demand broadcast. Generally, live video in a server is collected through a terminal camera, is uploaded to the server after being coded, and is played after the uploaded video after being coded by the server, so that users of other terminals can watch the video uploaded by the live terminal, and can receive interactive contents of the live terminal and the watching terminal, such as a bullet screen and the like. The terminals can comprise an uploading terminal of live video data and a watching terminal of live video or video on demand. Generally, the terminal may be an intelligent terminal, such as a smart phone, a tablet computer, and the like.
Fig. 2 is a schematic view of an implementation flow of an evaluation method for a vehicle repair video provided in an embodiment of the present application, which is detailed as follows:
in step S201, a vehicle type corresponding to the content of the vehicle repair video is determined, and a first score of the vehicle repair video is determined according to a market share of the vehicle type and/or a technical problem popularity of the vehicle type;
for the teaching content in the automobile repair video, the teaching is generally carried out aiming at a specific vehicle type or a plurality of vehicle types. Therefore, the corresponding relation between the automobile repair video and the automobile model can be established in advance. The corresponding relation can be designated by a worker according to the content of the automobile repair video, and the automobile model corresponding to the automobile repair video can be determined by detecting the content of the video frame and comparing according to the relation characteristic of the content of the video frame.
After the vehicle type corresponding to the vehicle repair video is determined, the vehicle type occupancy rate in the current market and the technical problem popularity rate of the vehicle type can be obtained through query in market research data or other social databases, and the first score of the vehicle repair video can be determined according to the vehicle type occupancy rate and/or the technical problem popularity rate.
In an alternative embodiment, the first score may be calculated according to a market share of the vehicle type, or a popularity of the technical problem, or a sum of the market share and the popularity of the technical problem.
In step S202, the number of people and/or the visit amount of the automobile repair video who is on the shelf is obtained, and a second score of the automobile repair video is determined;
in the application, the live videos stored by the server and the non-live videos uploaded by the server receiving terminal can be uploaded by the automobile repair videos. After the automobile repair video is put on shelf, the terminal can access the video database according to the APP or the browser tool to search the automobile repair video put on shelf.
For the videos after being put on shelf, the total visit volume of each automobile repair video, the visit volume in a specified time period, such as the visit volume in the last month, the last week, the last day and the like, can be counted in real time. In addition, an attention mark, a favorite mark or a collection mark is arranged below or at other positions of each video, when the user clicks the mark, the automobile repair video is set as the video which the user pays attention to, likes or collects, and the attention amount, the favorite amount or the collection amount of the video is increased once.
When the server receives a playing instruction of a user, the server sends video data corresponding to the playing instruction to the terminal and accumulates the playing amount of the video once. In a preferred embodiment, the viewing duration of the user may be collected, and the playing amount may be modified according to the viewing duration, for example, when the viewing duration is less than 1/3 of the total duration, the playing may be considered as an invalid playing time.
In a reliable implementation mode, the second score of the automobile repair video can be calculated according to the direct summation of the attention number and the visit amount.
In step S203, determining a third score of the vehicle repair video according to the evaluation result of the technician with the predetermined occupation on the vehicle repair video;
according to different types of the automobile repair video, the evaluation result of the automobile repair video by technicians of the profession corresponding to the type of the automobile repair video can be received, and the third score is determined according to the evaluation result. The level of the third score can be determined according to keywords included in the evaluation result, or the scores of the vehicle repair video by technicians of predetermined professions can be directly received, and the third score of the vehicle repair video corresponding to the evaluation result is obtained by weighting and averaging the received multiple evaluation scores.
In step S204, an evaluation score of the modified video is determined based on the first score as a base evaluation factor, and the additional evaluation factor further includes a second score and/or a third score.
After the first score, the second score and the third score are determined, the evaluation score of the car repair video can be calculated according to the values of the scores determined by the calculation modes of the first score, the second score and the third score, the weight values corresponding to the first score, the second score and the third score according to the respective influence values and the weight values. Or the automobile repair video can be evaluated through the first score and the second score or the third score.
Because the calculation of the evaluation score combines the market condition of the vehicle type of the video content and the evaluation result of the video attention and/or the technicians with scheduled occupation, the evaluation result is more accurate and reliable, and the important videos can be obtained more accurately according to the evaluation score to be recommended.
Fig. 3 is a schematic view of an implementation flow of another method for evaluating a vehicle repair video according to an embodiment of the present application, which is detailed as follows:
in step S301, a vehicle type corresponding to the content of the automobile repair video is determined, and a first score of the automobile repair video is determined according to the market share of the vehicle type and/or the technical problem popularity of the vehicle type;
in step S302, the number of people and/or the visit amount of the automobile repair video after being put on shelf is obtained, and a second score of the automobile repair video is determined;
in step S303, determining a third score of the vehicle repair video according to an evaluation result of a technician with a predetermined occupation on the vehicle repair video;
steps S301 to S303 are substantially the same as steps S201 to S203 in fig. 2, and are not repeated herein.
In step S304, the purchase times and/or the purchased feedback content of the customer after the vapour repair video is put on shelf are obtained, and a fourth score of the vapour repair video is determined according to the purchase times and/or the purchased feedback content.
Specifically, after the automobile repair video is put on shelf, a client of the terminal can watch the video put on shelf in a paid or free mode, and can perform content feedback according to the watched video, such as scoring the automobile repair video or text feedback. When the feedback content is the text content, the corresponding score of the feedback content can be determined by extracting the keywords in the text content and utilizing the corresponding relation between the text and the score.
In addition, after the vapour repair video is put on shelf, the number or times of users playing the vapour repair video is clicked, or the number or times of users purchasing the vapour repair video is determined, so that the fourth score is determined, or the fourth score can be determined by combining the feedback content of the users, or the fourth score is determined by the content fed back by the users alone. And calculating to obtain an evaluation score according to the determined fourth score by combining the first score, the second score and/or the third score and the corresponding weight.
In step S305, the attention of the modified steam video during live broadcasting is obtained, and a fifth value of the modified steam video is determined according to the attention of the modified steam video during live broadcasting.
When the live repair video is directly broadcast before being put on shelf, part of users usually watch the live repair video on line, and the fifth value of the repair video is determined according to the attention of the number of watching people on the live repair video.
The attention degree can be calculated through one or more of the number of users watching live steam repair videos, the attention reminding number of the live steam repair videos and the heat intensity of feedback of the live steam repair videos. When the number of users watching the video is larger, the set number of live reminders or concerns is larger, or the feedback is more intense, the corresponding fifth value is higher. Wherein the thermal intensity can be determined according to the number of live interactive comments.
The fifth value may determine the evaluation score of the modified video by combining the first value, the second value, the third value and/or the corresponding weight value, or may also determine the evaluation score of the modified video by combining the first value, the second value, the third value, the fourth value and the corresponding weight value.
In step S306, a media propagation index of the repair video is obtained, and a sixth score of the repair video is determined according to the media propagation index of the repair video.
The media propagation index may be a number of times the repair video is viewed through a share link of the repair video. The video of the automobile repair system is generally provided with a sharing key or a copying sharing key on the lower portion, a user can share the link of the video of the automobile repair system to other users, and the link comprises a specific identifier. When the user plays the automobile repair video, whether the current link is shared by other users or not is determined by detecting the identification content carried in the link.
The sixth score may be calculated by combining the first score, the second score, the third score and the corresponding weight, or may be determined by combining the first score, the second score, the third score, the fourth score and the corresponding weight, or may be determined by combining the first score, the second score, the third score, the fifth score and the corresponding weight.
In step S307, an evaluation score of the car repair video is determined, where the evaluation factors include the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, and corresponding weights.
When the main factor comprises a first score, a second score, a third score, a fourth score, a fifth score and a sixth score, the evaluation score can be determined according to the attention of the automobile repair video after being put on shelf, the content of the automobile repair video, the evaluation result of a technician, the feedback result of the automobile repair video after being put on shelf, the live attention of the automobile repair video and the media propagation index, so that the automobile repair video can be evaluated more comprehensively, and a more accurate evaluation result can be obtained.
In addition, in the application, before the automobile repair video is evaluated, the on-shelf state of the automobile repair video can be obtained, and corresponding evaluation factors are determined according to the on-shelf state of the automobile repair video and the preset corresponding relation. For example, when the vehicle service video is not on shelf, namely the live vehicle service video, the vehicle model corresponding to the video content respectively corresponding to the second score, the third score and the fifth score, the evaluation result of the technician and the live attention can be evaluated and calculated. And after the automobile repair video is put on shelf, the automobile repair video can be further evaluated according to the first score, the fourth score and the fifth score.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Fig. 4 is a schematic structural diagram of an evaluation apparatus for a vehicle repair video according to an embodiment of the present application, which is detailed as follows:
the evaluation device of the automobile repair video comprises:
the first score determining unit 401 is configured to determine a vehicle type corresponding to the content of the vehicle repair video, and determine a first score of the vehicle repair video according to a market share of the vehicle type and/or a technical problem popularity of the vehicle type;
the second score determining unit 402 is configured to obtain the number of people and/or the access amount of interest after the automobile repair video is put on shelf, and determine a second score of the automobile repair video;
a third score determining unit 403, configured to determine, according to an evaluation result of a technician with a predetermined occupation on the vehicle repair video, a third score of the vehicle repair video according to the evaluation result;
a score evaluation unit 404, configured to determine an evaluation score of the modified video based on the first score as a base evaluation factor, where the additional evaluation factor further includes a second score and/or a third score.
Preferably, the evaluation factor further includes a fourth score and a corresponding weight, and the apparatus further includes:
the feedback unit is used for acquiring the purchase times and/or the purchased feedback content of the clients after the automobile repair videos are put on shelves;
and the fourth score determining unit is used for determining a fourth score of the vehicle repair video according to the purchase times and/or the purchased feedback content.
Preferably, the evaluation factor further includes a fifth value and a corresponding weight, and the apparatus further includes:
the attention degree acquiring unit is used for acquiring the attention degree of the live steam repair video during live broadcasting, wherein the attention degree of the live steam repair video during live broadcasting comprises one or more of the number of users watching the live steam repair video, the attention reminding number of the live steam repair video and the heat intensity of feedback of the live steam repair video;
and the fifth value determining unit is used for determining a fifth value of the steam repair video according to the attention degree of the steam repair video in live broadcasting.
Preferably, the evaluation factor further includes a sixth score and a corresponding weight, and the apparatus further includes:
the system comprises a media propagation index acquisition unit, a video sharing unit and a video sharing unit, wherein the media propagation index acquisition unit is used for acquiring a media propagation index of the automobile repair video, and the media propagation index comprises the watching times of a sharing link of the automobile repair video;
and the sixth score determining unit is used for determining a sixth score of the vehicle repair video according to the media propagation index of the vehicle repair video.
Preferably, the apparatus further comprises:
the state determining unit is used for determining the racking state of the automobile repair video, and the racking state comprises a racking state and a non-racking state;
and the score type searching unit is used for searching the score type corresponding to the on-shelf state of the automobile repair video according to the preset corresponding relation between the on-shelf state and the score type.
The evaluation device for the repair video shown in fig. 4 corresponds to the evaluation method for the repair video shown in fig. 2 to 3.
Fig. 5 is a schematic diagram of an evaluation apparatus for a repair video according to an embodiment of the present application. As shown in fig. 5, the evaluation apparatus 5 for a repair video according to this embodiment includes: a processor 50, a memory 51 and a computer program 52 stored in said memory 51 and executable on said processor 50, such as an evaluation program for a car repair video. The processor 50, when executing the computer program 52, implements the steps in the above-described embodiments of the method for evaluating a repair video, such as the steps 201 to 204 shown in fig. 2. Alternatively, the processor 50, when executing the computer program 52, implements the functions of each module/unit in the above-mentioned device embodiments, for example, the functions of the modules 401 to 404 shown in fig. 4.
Illustratively, the computer program 52 may be partitioned into one or more modules/units, which are stored in the memory 51 and executed by the processor 50 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program 52 in the evaluation device 5 of the repair video. For example, the computer program 52 may be divided into a first score determining unit, a second score determining unit, a third score determining unit and a score evaluating unit, each unit having the following specific functions:
the system comprises a first score determining unit, a second score determining unit and a third score determining unit, wherein the first score determining unit is used for determining a vehicle type corresponding to the content of the automobile repair video and determining a first score of the automobile repair video according to the market share of the vehicle type and/or the technical problem popularity of the vehicle type;
the second score determining unit is used for acquiring the number of people concerned and/or the visit amount after the automobile repair video is put on shelf and determining a second score of the automobile repair video;
the third score determining unit is used for determining a third score of the automobile repair video according to the evaluation result of the technical staff with the preset profession on the automobile repair video;
and the score evaluation unit is used for determining the evaluation score of the vehicle-modified video based on the first score as a basic evaluation factor, and the additional evaluation factor further comprises a second score and/or a third score.
The evaluation device 5 of the automobile repair video can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The evaluation device for the repair video may include, but is not limited to, a processor 50 and a memory 51. Those skilled in the art will appreciate that fig. 5 is only an example of the evaluation device 5 for the repair video, and does not constitute a limitation to the evaluation device 5 for the repair video, and may include more or less components than those shown, or combine some components, or different components, for example, the evaluation device for the repair video may further include an input/output device, a network access device, a bus, etc.
The Processor 50 may be a Central Processing Unit (CPU), 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 storage 51 may be an internal storage unit of the evaluation device 5 for the repair video, for example, a hard disk or a memory of the evaluation device 5 for the repair video. The memory 51 may also be an external storage device of the evaluation device 5 for the car repair video, 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, which are equipped on the evaluation device 5 for the car repair video. Further, the memory 51 may also include both an internal storage unit and an external storage device of the evaluation device 5 of the repair video. The memory 51 is used for storing the computer program and other programs and data required by the evaluation equipment of the repair video. The memory 51 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 to perform all or part of the above-mentioned functions. 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. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and 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 can be realized in a form of hardware, and can also be realized in a 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.
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 (9)
1. The assessment method for the vehicle repair video is characterized by comprising the following steps:
determining a vehicle type corresponding to the content of the automobile repair video, and determining a first score of the automobile repair video according to the market share of the vehicle type and/or the technical problem popularity of the vehicle type;
acquiring the number of people concerned and/or the visit amount of the automobile repair video after the automobile repair video is put on shelf, and determining a second score of the automobile repair video, wherein when the visit amount is acquired, the video watching time length of a user is acquired, and when the video watching time length of the user is less than 1/3 of the total video time length, the visit is considered as an invalid visit;
determining a third score of the automobile repair video according to the evaluation result of the technical staff with the preset profession on the automobile repair video;
determining an evaluation score of the vehicle-modified video based on the first score as a basic evaluation factor, wherein the additional evaluation factor further comprises a second score and/or a third score;
the method further comprises the following steps:
acquiring the purchase times and/or the purchased feedback content of a customer after the automobile repair video is put on shelf;
determining a fourth score of the automobile repair video according to the purchase times and/or the purchased feedback content;
the method comprises the steps of obtaining the attention degree of a live steam repair video during live broadcasting, wherein the attention degree of the live steam repair video during live broadcasting comprises one or more of the number of users watching the live steam repair video, the attention reminding number of the live steam repair video and the feedback heat intensity of the live steam repair video;
determining a fifth value of the steam maintenance video according to the attention degree of the steam maintenance video in live broadcasting;
prior to the step of determining an evaluation score for the soda repair video, the method further comprises:
determining the on-shelf state of the automobile repair video, wherein the on-shelf state comprises an on-shelf state and an off-shelf state;
searching a score type corresponding to the on-shelf state of the automobile repair video according to a preset corresponding relation between the on-shelf state and the score type;
when the automobile video is not put on shelf, the automobile type, the evaluation result of the technical staff and the live broadcast attention corresponding to the video content respectively corresponding to the first score, the third score and the fifth score are used for evaluating, and after the automobile repair video is put on shelf, the second score, the fourth score and the fifth score are combined for evaluating.
2. The method of claim 1, wherein the evaluation factor further comprises a weight corresponding to the fourth score.
3. The method of claim 1, wherein the evaluation factor further comprises a weight corresponding to the fifth value.
4. The method for evaluating a car repair video according to claim 1, wherein the evaluation factors further include a sixth score and a corresponding weight, the method further comprising:
acquiring a media propagation index of the vehicle repair video, wherein the media propagation index comprises the watching times of a sharing link of the vehicle repair video;
and determining a sixth score of the vehicle repair video according to the media propagation index of the vehicle repair video.
5. An assessment device for a repair video, characterized in that the assessment device for the repair video comprises:
the system comprises a first score determining unit, a second score determining unit and a third score determining unit, wherein the first score determining unit is used for determining a vehicle type corresponding to the content of the automobile repair video and determining a first score of the automobile repair video according to the market share of the vehicle type and/or the technical problem popularity of the vehicle type;
the second score determining unit is used for acquiring the number of people concerned and/or the visit amount after the automobile repair video is put on shelf and determining a second score of the automobile repair video, wherein when the visit amount is acquired, the video watching time length of a user is acquired, and when the watching time length of the user is less than 1/3 of the total video time length, the visit is considered as invalid visit;
the third score determining unit is used for determining a third score of the automobile repair video according to the evaluation result of the technical staff with the preset profession on the automobile repair video;
the score evaluation unit is used for determining the evaluation score of the vehicle-modified video based on the first score as a basic evaluation factor, and the additional evaluation factor further comprises a second score and/or a third score;
the feedback unit is used for acquiring the purchase times and/or the purchased feedback content of the clients after the automobile repair videos are put on shelves;
the fourth score determining unit is used for determining a fourth score of the automobile repair video according to the purchase times and/or the purchased feedback content;
the attention degree acquiring unit is used for acquiring the attention degree of the live steam repair video during live broadcasting, wherein the attention degree of the live steam repair video during live broadcasting comprises one or more of the number of users watching the live steam repair video, the attention reminding number of the live steam repair video and the heat intensity of feedback of the live steam repair video;
the fifth value determining unit is used for determining a fifth value of the steam repair video according to the attention degree of the steam repair video in live broadcasting;
the state determining unit is used for determining the racking state of the automobile repair video, and the racking state comprises a racking state and a non-racking state;
the score type searching unit is used for searching the score type corresponding to the on-shelf state of the automobile repair video according to the preset corresponding relation between the on-shelf state and the score type, when the automobile video is not on shelf, the automobile type, the evaluation result of the technical staff and the live attention corresponding to the video content respectively corresponding to the first score, the third score and the fifth score are used for evaluating, and after the automobile repair video is on shelf, the automobile repair video is evaluated by combining the second score, the fourth score and the fifth score.
6. The apparatus for evaluating a video for a car repair according to claim 5, wherein the evaluation factor further includes a weight corresponding to the fourth score.
7. The device for evaluating a car repair video according to claim 5, wherein the evaluation factor further comprises a weight corresponding to the fifth value.
8. An evaluation device for a repair video, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for evaluating a repair video according to any one of claims 1 to 4 when executing the computer program.
9. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, implements the steps of the method for evaluating a repair video according to any one of claims 1 to 4.
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