CN110766445B - Video pricing method, device, server and storage medium - Google Patents
Video pricing method, device, server and storage medium Download PDFInfo
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- CN110766445B CN110766445B CN201910883118.6A CN201910883118A CN110766445B CN 110766445 B CN110766445 B CN 110766445B CN 201910883118 A CN201910883118 A CN 201910883118A CN 110766445 B CN110766445 B CN 110766445B
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The present application relates to the field of communications technologies, and in particular, to a video pricing method, device, server, and storage medium. The video pricing method comprises the following steps: acquiring relevant information of the video to be sold, wherein the relevant information of the video to be sold comprises cost price of the video to be sold; calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset promotion of the network platform; calculating the estimated volume of the video for sale; and calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount. According to the scheme, the price of the video can be automatically and dynamically determined, and the price of the video is reasonable.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a video pricing method, device, server, and storage medium.
Background
When a video is priced on a network platform, when a video operator with the network platform signs a video warranty release price with a video producer, the video is difficult to scientifically estimate by manually customizing the price, and the video release price always appears in a higher or lower condition.
Therefore, how to provide an automated video pricing scheme is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The application provides a video pricing method, a video pricing device, a server and a storage medium, and aims to solve the technical problem that the existing video pricing cannot achieve automation.
In a first aspect, the present application provides a video pricing method comprising:
acquiring relevant information of the video to be sold, wherein the relevant information of the video to be sold comprises cost price of the video to be sold;
calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset promotion of the network platform;
calculating the estimated volume of the video for sale;
and calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount.
Preferably, said calculating the predicted amount of video for sale comprises:
acquiring the sales times of the sold videos and the attention number of the sold videos;
calculating a first rate of arrival of sold videos according to the sales times and the attention number;
calculating a second rate of arrival of sold videos consistent with the type of the video to be sold according to the sales times and the attention number;
calculating average yield according to the first yield and the second yield and preset weights corresponding to the first yield and the second yield;
and calculating the estimated trading volume according to the attention number of one of the sold videos which is consistent with the type of the video to be sold according to the average trading rate.
Preferably, the related information of the video for sale further comprises the professional level of the video producer for sale; the video pricing method further comprises:
and adjusting the video standard unit price according to the preset relation between the video standard unit price and the professional level.
Preferably, the relevant information of the video for sale further comprises the number of attention of a video producer for sale; the video pricing method further comprises:
acquiring the number of people concerned of the sold video;
calculating a first attention degree of the video producer according to the attention number of the video producer and the total number of users of the network platform;
and adjusting the standard unit price of the video according to the first attention.
Preferably, said adjusting the video standard price according to the first degree of interest comprises:
calculating a second attention degree of the video for sale according to the attention number of the sold video which is consistent with the type of the video for sale and the total number of users of the network platform;
calculating a focus difference value of the first focus and the second focus;
and adjusting the video standard unit price according to a preset relation between the video standard unit price and the attention degree difference value.
Preferably, the video for sale is an automobile fault maintenance video, and the video pricing method further comprises:
judging whether a video consistent with the maintenance fault in the video for sale exists or not;
and adjusting the standard unit price of the video according to the preset relation between the standard unit price of the video and whether the video consistent with the maintenance faults in the video to be sold exists.
Preferably, the video pricing method further comprises:
judging whether the predicted volume is within a preset error range of the volume corresponding to the video standard unit price or the adjusted video standard unit price according to the preset volume and price relation,
and when the predicted traffic is within a preset error range, taking the standard unit price of the video or the standard unit price of the regulated video as the predicted unit price.
In a second aspect, the present application further provides a video pricing device for pricing video for sale on a network platform, the video pricing device comprising:
the information acquisition module is used for acquiring the related information of the video to be sold, wherein the related information of the video to be sold comprises the cost price of the video to be sold;
the first calculation module is used for calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset promotion of the network platform;
the second calculation module is used for calculating the expected volume of the video to be sold;
and the third calculation module is used for calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount.
Preferably, the second calculation module includes:
a sold acquisition unit for acquiring the number of sales of the sold video and the number of attention persons of the sold video;
a first calculation unit configured to calculate a first rate of arrival of sold videos according to the number of sales and the number of people of interest;
a second calculation unit configured to calculate a second rate of arrival of sold videos that are consistent with the type of the video to be sold, based on the number of sales and the number of people of interest;
the third calculation unit is used for calculating the average success rate according to the first success rate and the second success rate and the preset weights corresponding to the first success rate and the second success rate;
and a fourth calculation unit for calculating the estimated trading volume according to the attention number of one of the sold videos which is consistent with the type of the video to be sold according to the average trading rate.
Preferably, the video pricing device further comprises:
the first adjusting module is used for adjusting the video standard unit price according to the preset relation between the video standard unit price and the professional level.
Preferably, the video pricing device further comprises:
the people number acquisition module is used for acquiring the number of attention people of the sold video;
a fourth calculation module, configured to calculate a first attention degree of the video producer according to the attention number of the video producer and the total number of users of the network platform;
and the second adjusting module is used for adjusting the standard unit price of the video according to the first attention.
Wherein the second adjustment module comprises:
a fifth calculation unit, configured to calculate a second degree of interest of the video for sale according to a number of people of interest of the video for sale and a total number of users of the network platform, where the number of people of interest of the video for sale is consistent with the type of the video for sale;
a difference calculating unit, configured to calculate a difference of attention between the first attention and the second attention;
and the adjusting unit is used for adjusting the video standard unit price according to the preset relation between the video standard unit price and the attention degree difference value.
Preferably, the video pricing device further comprises:
the first judging module is used for judging whether a video consistent with the maintenance fault in the video to be sold exists or not;
and the third adjusting module is used for adjusting the standard unit price of the video according to the standard unit price of the video and the preset relation of whether the video consistent with the maintenance fault in the video to be sold exists or not.
Preferably, the video pricing device further comprises:
a second judging module for judging whether the predicted volume is within a preset error range of the volume corresponding to the video standard unit price or the adjusted video standard unit price according to the preset volume and price relation,
and the prediction module is used for taking the video standard unit price or the adjusted video standard unit price as the predicted unit price when the predicted volume is within a preset error range.
In a third aspect, the present application further provides a server, the server comprising:
a memory for storing a video pricing program;
and the processor is used for realizing the video pricing method according to the embodiment of the first aspect of the application when the video pricing program is executed.
In a fourth aspect, the present application further provides a storage medium, where the storage medium is a computer readable storage medium, and the storage medium stores a video pricing program, where the video pricing program when executed by a processor implements the video pricing method according to the embodiment of the first aspect of the present application.
Compared with the prior art, the technical scheme provided by the application can automatically price the video, can automatically and dynamically evaluate the price of the video, and can enable the excellent video to be rapidly spread because the price of the video is not too high or low.
Drawings
Fig. 1 is a flowchart of a video pricing method according to a first embodiment of the present application.
Fig. 2 is a detailed flowchart of step S13 in fig. 1.
Fig. 3 is a flowchart of a video pricing method according to a second embodiment of the present application.
Fig. 4 is a flowchart of a video pricing method according to a third embodiment of the present application.
Fig. 5 is a flowchart of a video pricing method according to a fourth embodiment of the present application.
Fig. 6 is a schematic block diagram of a video pricing device according to a fifth embodiment of the present application.
Fig. 7 is a schematic structural diagram of a server according to a sixth embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims of this application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, server, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the description herein of "first," "second," etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implying an indication of the number of technical features being indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be regarded as not exist and not within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of a video pricing method according to a first embodiment of the present application, where the video pricing method may be implemented by a video pricing device, and the video pricing device may be implemented by hardware and/or software, so as to price video for sale on a network platform. The video pricing method is applicable to the server. The video pricing method comprises the following steps:
s11: and acquiring the related information of the video to be sold, wherein the related information of the video to be sold comprises the cost price of the video to be sold.
The video for sale is not limited, and may be, for example, an automobile repair video. The video for sale is made by a video producer for sale. The video for sale producer can upload the video for sale, and when uploading the video for sale, the video for sale producer fills in the video introduction content, can acquire the related information of the video for sale according to the video introduction content, and can also acquire the related information of the video for sale according to the account of the video producer. The cost price of video for sale may be set by the video producer for sale itself. It will be appreciated that the relevant information for the video for sale includes, but is not limited to, the cost price of the video for sale, and may also include the professional level of the video producer for sale, the number of people in the interest of the video producer for sale, and so on. Professional ratings of video producers for sale represent a level of expertise within the industry. Alternatively, the professional level of the video producer for sale may be determined by the relevant exam. The number of people of interest to the video producer for sale, i.e., the number of people interested in the video producer for sale.
S12: and calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset proposal of the network platform.
The preset proposal of the network platform is the amount of money which the network platform needs to extract from the video sold. The network platform is preset, and the network platform can be a percentage of the cost price of the video to be sold or a fixed value. The total price of the video for sale is the sum of the cost price of the video for sale and the promotion of the network platform. If the cost price of the video for sale is 5000 yuan, the total cost price of the video for sale is 5000+1000=6000 yuan.
S13: and calculating the expected volume of the video for sale.
The method of calculating the predicted traffic of the video is not limited. For example, the expected volume of the video for sale can be estimated according to the type of the video for sale.
Referring to fig. 2, step S13 may include:
s131: the number of sales of the sold video and the number of attention persons of the sold video are acquired.
The number of sales of sold videos includes the number of times all videos have been sold on the network platform. If the sold video is sold to 30 users and the sold video is sold to 40 users, the sold video is sold 30 times and the sold video is sold 50 times. The total number of sales for the sold video a and the sold video B was 70. The number of people interested in the sold video is the number of users who the sold video is intended to be purchased. If a user opens to browse the sold video, the user is presented with a focus on the sold video. If a sold video is viewed by 400 users, the number of people interested in the sold video is 400.
S132: and calculating a first success rate of the sold video according to the sales times and the attention number.
The sales times of each sold video are obtained, the attention number of each sold video is also obtained, and the sales times of all sold videos can be calculated, and the attention number of all sold videos can also be calculated. Number of sales for all sold videos/number of attention to all sold videos = first rate of contact. Specifically, if the sold video a is sold to 30 users and the sold video B is sold to 40 users, the sold video a is sold 30 times and the sold video B is sold 50 times. The total number of sales for the sold video a and the sold video B was 70. The attention number of the video sold A is 400, the attention number of the video sold B is 600, the total attention number of the video sold A and the video sold B is 1000 times, and the first yield of the video sold A and the video sold B is 70/1000 x 100% = 7%.
S133: and calculating a second yield of sold videos consistent with the type of the video to be sold according to the sales times and the attention number.
The second rate of success is calculated not for all of the sold videos but for sold videos that are consistent with the type of video for sale. The calculation method is consistent with the first yield and is not specifically described.
S134: and calculating the average yield according to the first yield and the second yield and the preset weights corresponding to the first yield and the second yield.
The preset weights corresponding to the first yield and the second yield can be set according to the needs. The higher the first yield is, the higher the preset weight corresponding to the first yield is, and the higher the second yield is, the higher the preset weight corresponding to the second yield is. When calculating the average yield, if the preset weight of the first yield is 40%, the preset weight of the second yield is 60%, and if the first yield is 7% and the second yield is 5%, the average yield is: 7% + 40% + 5% = 5.8%.
S135: and calculating the estimated trading volume according to the attention number of one of the sold videos which is consistent with the type of the video to be sold according to the average trading rate.
The number of people of interest with consistent type of video for sale multiplied by the average success rate is the predicted success rate. If the number of people interested in one of the sold videos whose types of videos to be sold are identical is 1000, the average success rate is 5.8%, and the expected success rate is 1000×5.8% =58 people.
S14: and calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount.
Video standard unit price = total price for video offered/projected volume. The video standard unit price can be used as the unit price for determining selling. That is, when a user views the video for sale on a network platform, the required cost can be the standard unit price of the video. The video standard unit price can also be used as a reference only for viewing by video producers for sale and by the network platform side.
Preferably, the video pricing method may further include:
judging whether the predicted volume is within a preset error range of the volume corresponding to the standard unit price of the video according to the preset volume and price relation,
and when the predicted traffic is within a preset error range, taking the standard unit price of the video as the predicted unit price.
The relationship between the volume of the deal and the price can be preset according to the price and the volume of the deal of each sold video. For example, the video is at 20 yuan, and the volume of the transaction is 1000. The preset error range is not limited, and if the preset error range is 20%, the volume of the video when the price of the video is 20 yuan can be 800-1200. If the standard unit price of the video is 20 yuan and the estimated volume of the traffic is in the range of 800-1200, the standard unit price of the video is taken as the estimated unit price. The predicted price may be used as the price for the determined sale.
According to the video pricing method provided by the embodiment, related information of the video to be sold is obtained, wherein the related information of the video to be sold comprises cost price of the video to be sold; calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset promotion of the network platform; calculating the estimated volume of the video for sale; according to the total price of the video to be sold and the standard price of the video to be calculated, the video can be automatically priced, the price of the video can be automatically and dynamically estimated, the price of the video can not be too expensive or cheap, and the excellent video can be rapidly transmitted.
Referring to fig. 3, a second embodiment of the present application also provides a video pricing method, which is based on the foregoing embodiment, and further includes:
s21: and acquiring the related information of the video to be sold, wherein the related information of the video to be sold comprises the cost price of the video to be sold.
S22: and calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset proposal of the network platform.
S23: and calculating the expected volume of the video for sale.
S24: and calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount.
S25: and adjusting the video standard unit price according to the preset relation between the video standard unit price and the professional level.
When the standard unit price of the video is adjusted, the related information of the video to be sold also comprises the professional grade of the video producer to be sold. A preset relationship may be provided between the video standard price and the job level. The preset relationship is not limited. For example, the professional grades include 5 grades, 1 grade is lowest, 5 grades are highest, and 3 grades are median. In this embodiment, the preset relationship may be that if the professional level of the video producer is 3, the standard unit price of the video is unchanged, and if the professional level of the video producer for sale is greater than one level of 3, the standard unit price of the video is increased by 20%. If the professional level of the video producer for sale is lower than one level per 3 levels, the standard unit price of the video is reduced by 20%. Such as a professional grade of 5 for video producers for sale, a standard unit price of 20 yuan, then the adjusted video standard unit price = 20+20 x 20% +20 x 20% = 28 yuan; if the professional level of the video producer for sale is 1 level and the standard unit price of the video is 20 yuan, the standard unit price of the video after adjustment is=20-20×20% =12 yuan. The adjusted standard unit price of the video can be used as the unit price for determining selling. That is, when a user views the video for sale on a network platform, the required cost can be the standard unit price of the video after adjustment.
The video pricing method provided by the embodiment can further adjust the standard price of the video, and the price of the video which is automatically and dynamically adjusted is better.
Referring to fig. 4, a third embodiment of the present application also provides a video pricing method, which is based on the foregoing embodiment, and includes:
s31: and acquiring the related information of the video to be sold, wherein the related information of the video to be sold comprises the cost price of the video to be sold.
S32: and calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset proposal of the network platform.
S33: and calculating the expected volume of the video for sale.
S34: and calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount.
S35: the number of people of interest who have sold the video is obtained.
When the number of attention persons for the sold video is acquired, if step S131 "acquire the number of sales for the sold video and the number of attention persons for the sold video" is included in step S13, "acquire the number of attention persons for the sold video" may be omitted.
S36: and calculating the first attention degree of the video producer according to the attention number of the video producer and the total number of users of the network platform.
The information related to the video for sale further includes the number of attention of the video producer for sale when the first attention is calculated. First attention = number of attention of video producers for sale/total number of users of the network platform.
S37: and adjusting the standard unit price of the video according to the first attention.
The first attention degree can have a preset relation with the video standard unit price, and the video standard unit price can be adjusted according to the preset relation between the first attention degree and the video standard unit price.
In this embodiment, adjusting the video standard unit price according to the first attention may include:
calculating a second attention degree of the video for sale according to the attention number of the sold video which is consistent with the type of the video for sale and the total number of users of the network platform;
calculating a focus difference value of the first focus and the second focus;
and adjusting the video standard unit price according to a preset relation between the video standard unit price and the attention degree difference value.
Wherein a second degree of attention = the number of attention of the sold video/the total number of users of the network platform consistent with the type of video for sale.
The preset relationship between the second video unit price and the attention degree difference value is not limited. If the first attention is 1% greater than the second attention, the second video unit price is increased by 10% of the video standard unit price, and if the first attention is 1% less than the second attention, the second video unit price is decreased by 10% of the video standard unit price. Specifically, if the difference of the attention degrees is 2%, that is, the first attention degree is 2% greater than the second attention degree, the standard unit price of the video is 28 yuan, and the standard unit price of the video is 20 yuan, the adjusted standard unit price of the video=28+20×10% +20×10% =32 yuan; if the attention difference is-3%, that is, the first attention is 3% smaller than the second attention, the standard unit price of the video is 28 yuan, and the standard unit price of the video is 20 yuan, the adjusted standard unit price of the video=28-20×10% =22 yuan.
The video pricing method provided by the embodiment can further adjust the standard price of the video, and the price of the video which is automatically and dynamically adjusted is better.
Referring to fig. 5, a fourth embodiment of the present application also provides a video pricing method, which is based on the foregoing embodiment, wherein the video for sale is an automobile fault maintenance video, and the video pricing method further includes:
s41: and acquiring the related information of the video to be sold, wherein the related information of the video to be sold comprises the cost price of the video to be sold.
S42: and calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset proposal of the network platform.
S43: and calculating the expected volume of the video for sale.
S44: and calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount.
S45: and judging whether a video consistent with the maintenance fault in the video for sale exists or not.
The automobile fault maintenance video aims at maintaining various faults of an automobile. When judging whether the video consistent with the maintenance fault in the video to be sold exists, the fault code of the video to be sold for maintaining the automobile fault can be obtained, and whether the video consistent with the fault code of the video to be sold for maintaining the automobile fault exists in the pre-stored video is judged.
S46: and adjusting the standard unit price of the video according to the preset relation between the standard unit price of the video and whether the video consistent with the maintenance faults in the video to be sold exists.
The video standard unit price and the preset relation of whether the video consistent with the maintenance fault in the video to be sold exists are not limited. If no video consistent with the maintenance faults in the video for sale exists, the standard unit price of the video is increased by 50%, and if the video consistent with the maintenance faults in the video for sale exists, the standard unit price of the video is reduced by 20%.
The video pricing method provided by the embodiment can further adjust the standard price of the video, and the price of the video which is automatically and dynamically adjusted is better.
Preferably, the video pricing method may further include:
judging whether the predicted volume is within a preset error range of the volume corresponding to the adjusted video standard unit price according to the preset volume and price relation,
and when the estimated traffic is within a preset error range, taking the adjusted video standard unit price as an estimated unit price.
The adjusted video standard price may be the adjusted video standard price described in any of the above embodiments.
Referring to fig. 6, a fifth embodiment of the present application provides a video pricing device 50 for pricing video for sale on a network platform. The video pricing device 50 may implement the video pricing method according to any of the foregoing embodiments, where the video pricing device 50 includes:
the information acquisition module 51 is configured to acquire relevant information of a video for sale, where the relevant information of the video for sale includes a cost price of the video for sale;
a first calculating module 52, configured to calculate a total price of the video for sale according to the cost price of the video for sale and a preset offer of the network platform;
a second calculation module 53, configured to calculate an estimated volume of the video for sale;
a third calculation module 54 for calculating a video standard price according to the total price of the video for sale and the estimated cost of the video for sale.
The video pricing device provided by the embodiment can quickly and reasonably determine the unit price of the video, the price of the video is not too expensive or cheap, and excellent video can be quickly transmitted.
Preferably, the second calculation module 53 comprises:
a sold acquisition unit for acquiring the number of sales of the sold video and the number of attention persons of the sold video;
a first calculation unit configured to calculate a first rate of arrival of sold videos according to the number of sales and the number of people of interest;
a second calculation unit configured to calculate a second rate of arrival of sold videos that are consistent with the type of the video to be sold, based on the number of sales and the number of people of interest;
the third calculation unit is used for calculating the average success rate according to the first success rate and the second success rate and the preset weights corresponding to the first success rate and the second success rate;
and a fourth calculation unit for calculating the estimated trading volume according to the attention number of one of the sold videos which is consistent with the type of the video to be sold according to the average trading rate.
Preferably, the video pricing device 50 further comprises:
the first adjusting module is used for adjusting the video standard unit price according to the preset relation between the video standard unit price and the professional level.
Preferably, the video pricing device 50 further comprises:
the people number acquisition module is used for acquiring the number of attention people of the sold video;
a fourth calculation module, configured to calculate a first attention degree of the video producer according to the attention number of the video producer and the total number of users of the network platform;
and the second adjusting module is used for adjusting the standard unit price of the video according to the first attention.
Wherein the second adjustment module comprises:
a fifth calculation unit, configured to calculate a second degree of interest of the video for sale according to a number of people of interest of the video for sale and a total number of users of the network platform, where the number of people of interest of the video for sale is consistent with the type of the video for sale;
a difference calculating unit, configured to calculate a difference of attention between the first attention and the second attention;
and the adjusting unit is used for adjusting the video standard unit price according to the preset relation between the video standard unit price and the attention degree difference value.
Preferably, the video pricing device 50 further comprises:
the first judging module is used for judging whether a video consistent with the maintenance fault in the video to be sold exists or not;
and the third adjusting module is used for adjusting the standard unit price of the video according to the standard unit price of the video and the preset relation of whether the video consistent with the maintenance fault in the video to be sold exists or not.
Preferably, the video pricing device 50 further comprises:
a second judging module for judging whether the predicted volume is within a preset error range of the volume corresponding to the video standard unit price or the adjusted video standard unit price according to the preset volume and price relation,
and the prediction module is used for taking the video standard unit price or the adjusted video standard unit price as the predicted unit price when the predicted volume is within a preset error range.
The product can execute the method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method.
Referring to fig. 7, a server and a storage medium are also provided in the sixth embodiment of the present application, which each have the corresponding effects of the video pricing method provided in the foregoing embodiments of the present application.
The server provided in the embodiment of the present application includes a memory 61 and a processor 62, where the memory 61 stores a video pricing program, and the processor 62 implements the following steps when executing the video pricing program stored in the memory 61:
acquiring relevant information of the video to be sold, wherein the relevant information of the video to be sold comprises cost price of the video to be sold;
calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset promotion of the network platform;
calculating the estimated volume of the video for sale;
and calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount.
Preferably, the processor of the server when executing the video pricing program stored in the memory further performs the steps of:
acquiring the sales times of the sold videos and the attention number of the sold videos;
calculating a first rate of arrival of sold videos according to the sales times and the attention number;
calculating a second rate of arrival of sold videos consistent with the type of the video to be sold according to the sales times and the attention number;
calculating average yield according to the first yield and the second yield and preset weights corresponding to the first yield and the second yield;
and calculating the estimated trading volume according to the attention number of one of the sold videos which is consistent with the type of the video to be sold according to the average trading rate.
Preferably, the processor of the server when executing the video pricing program stored in the memory further performs the steps of: and adjusting the video standard unit price according to the preset relation between the video standard unit price and the professional level.
Preferably, the processor of the server when executing the video pricing program stored in the memory further performs the steps of: acquiring the number of people concerned of the sold video; calculating a first attention degree of the video producer according to the attention number of the video producer and the total number of users of the network platform; and adjusting the standard unit price of the video according to the first attention.
Preferably, the processor of the server when executing the video pricing program stored in the memory further performs the steps of: calculating a second attention degree of the video for sale according to the attention number of the sold video which is consistent with the type of the video for sale and the total number of users of the network platform; calculating a focus difference value of the first focus and the second focus; and adjusting the video standard unit price according to a preset relation between the video standard unit price and the attention degree difference value.
Preferably, the processor of the server when executing the video pricing program stored in the memory further performs the steps of: judging whether a video consistent with the maintenance fault in the video for sale exists or not; and adjusting the standard unit price of the video according to the preset relation between the standard unit price of the video and whether the video consistent with the maintenance faults in the video to be sold exists.
Preferably, the processor of the server when executing the video pricing program stored in the memory further performs the steps of: judging whether the predicted volume is within a preset error range of the volume corresponding to the video standard unit price or the adjusted video standard unit price according to the preset volume and price relation, and taking the video standard unit price or the adjusted video standard unit price as the predicted unit price when the predicted volume is within the preset error range.
The storage medium provided by the embodiment of the application is a computer readable storage medium, wherein a video pricing program is stored in the computer readable storage medium, and the following steps are specifically implemented when the video pricing program is executed by a processor:
acquiring relevant information of the video to be sold, wherein the relevant information of the video to be sold comprises cost price of the video to be sold;
calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset promotion of the network platform;
calculating the estimated volume of the video for sale;
and calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount.
Preferably, the video pricing program stored in the computer readable storage medium when executed by the processor further specifically implements the steps of:
acquiring the sales times of the sold videos and the attention number of the sold videos;
calculating a first rate of arrival of sold videos according to the sales times and the attention number;
calculating a second rate of arrival of sold videos consistent with the type of the video to be sold according to the sales times and the attention number;
calculating average yield according to the first yield and the second yield and preset weights corresponding to the first yield and the second yield;
and calculating the estimated trading volume according to the attention number of one of the sold videos which is consistent with the type of the video to be sold according to the average trading rate.
Preferably, the video pricing program stored in the computer readable storage medium when executed by the processor performs the steps of: and adjusting the video standard unit price according to the preset relation between the video standard unit price and the professional level.
Preferably, the video pricing program stored in the computer readable storage medium when executed by the processor performs the steps of: acquiring the number of people concerned of the sold video; calculating a first attention degree of the video producer according to the attention number of the video producer and the total number of users of the network platform; and adjusting the standard unit price of the video according to the first attention.
Preferably, the video pricing program stored in the computer readable storage medium when executed by the processor performs the steps of: calculating a second attention degree of the video for sale according to the attention number of the sold video which is consistent with the type of the video for sale and the total number of users of the network platform; calculating a focus difference value of the first focus and the second focus; and adjusting the video standard unit price according to a preset relation between the video standard unit price and the attention degree difference value.
Preferably, the video pricing program stored in the computer readable storage medium when executed by the processor performs the steps of: judging whether a video consistent with the maintenance fault in the video for sale exists or not; and adjusting the standard unit price of the video according to the preset relation between the standard unit price of the video and whether the video consistent with the maintenance faults in the video to be sold exists.
Preferably, the video pricing program stored in the computer readable storage medium when executed by the processor performs the steps of: judging whether the predicted volume is within a preset error range of the volume corresponding to the video standard unit price or the adjusted video standard unit price according to the preset volume and price relation, and taking the video standard unit price or the adjusted video standard unit price as the predicted unit price when the predicted volume is within the preset error range.
The computer readable storage medium to which the present application relates includes random access Memory (Random Access Memory) RAM, memory, read-Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, compact disc Read-Only Memory (CD-ROM), or any other form of storage medium known in the art.
The description of the relevant parts in the video pricing method, the device, the server and the computer readable storage medium provided in the embodiments of the present application refers to the detailed description of the corresponding parts in the video pricing method provided in the foregoing embodiments of the present application, and will not be repeated here. In addition, the parts of the above technical solutions provided in the embodiments of the present application, which are consistent with the implementation principles of the corresponding technical solutions in the prior art, are not described in detail, so that redundant descriptions are avoided.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the present application, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields, are included in the scope of the present application.
Claims (9)
1. A method of video pricing, the method comprising:
acquiring relevant information of the video to be sold, wherein the relevant information of the video to be sold comprises cost price of the video to be sold;
calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset promotion of the network platform;
calculating the estimated volume of the video for sale;
calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount;
the calculating the predicted amount of video for sale comprises:
acquiring the sales times of the sold videos and the attention number of the sold videos;
calculating a first rate of arrival of sold videos according to the sales times and the attention number; sales times for all sold videos/attention number of all sold videos = first rate of contact;
calculating a second rate of arrival of sold videos consistent with the type of the video to be sold according to the sales times and the attention number; the sales times of the sold video consistent with the type of the video for sale/the attention number of the sold video consistent with the type of the video for sale = second rate of delivery;
calculating average yield according to the first yield and the second yield and preset weights corresponding to the first yield and the second yield;
and calculating the estimated trading volume according to the attention number of one of the sold videos which is consistent with the type of the video to be sold according to the average trading rate.
2. A video pricing method as recited in claim 1, wherein: the related information of the video for sale further comprises the professional level of a video producer for sale; the video pricing method further comprises:
and adjusting the video standard unit price according to the preset relation between the video standard unit price and the professional level.
3. A video pricing method as recited in claim 1, wherein: the relevant information of the video to be sold also comprises the attention number of video producers to be sold; the video pricing method further comprises:
acquiring the number of people concerned of the sold video;
calculating a first attention degree of the video producer according to the attention number of the video producer and the total number of users of the network platform;
and adjusting the standard unit price of the video according to the first attention.
4. A video pricing method according to claim 3, wherein said adjusting the standard price of the video based on the first degree of attention comprises:
calculating a second attention degree of the video for sale according to the attention number of the sold video which is consistent with the type of the video for sale and the total number of users of the network platform;
calculating a focus difference value of the first focus and the second focus;
and adjusting the video standard unit price according to a preset relation between the video standard unit price and the attention degree difference value.
5. A video pricing method as recited in claim 1, wherein: the video for sale is an automobile fault maintenance video, and the video pricing method further comprises the following steps:
judging whether a video consistent with the maintenance fault in the video for sale exists or not;
and adjusting the standard unit price of the video according to the preset relation between the standard unit price of the video and whether the video consistent with the maintenance faults in the video to be sold exists.
6. A video pricing method according to any of claims 1 to 5, wherein the video pricing method further comprises:
judging whether the predicted volume is within a preset error range of the volume corresponding to the video standard unit price or the adjusted video standard unit price according to the preset volume and price relation,
and when the predicted traffic is within a preset error range, taking the standard unit price of the video or the standard unit price of the regulated video as the predicted unit price.
7. A video pricing device for pricing video for sale on a network platform, the video pricing device comprising:
the information acquisition module is used for acquiring the related information of the video to be sold, wherein the related information of the video to be sold comprises the cost price of the video to be sold;
the first calculation module is used for calculating the total price of the video to be sold according to the cost price of the video to be sold and the preset promotion of the network platform;
the second calculation module is used for calculating the expected volume of the video to be sold;
and the third calculation module is used for calculating video standard unit price according to the total price of the video to be sold and the estimated calculated amount.
8. A server, the server comprising:
a memory for storing a video pricing program;
a processor for implementing a video pricing method according to any of claims 1 to 6 when executing the video pricing program.
9. A storage medium, the storage medium being a computer readable storage medium, wherein the storage medium has stored therein a video pricing program, the video pricing program, when executed by a processor, implementing the video pricing method of any of claims 1 to 6.
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| KR20150077827A (en) * | 2013-12-30 | 2015-07-08 | 플레이메이커스튜디오주식회사 | System for Selling Differently a Show Ticket Price using an Advance Sale Situation and Controlling Method for the Same |
| CN106164969A (en) * | 2013-11-07 | 2016-11-23 | Cfph 有限责任公司 | Transaction based on probability of transaction |
| CN110009400A (en) * | 2019-03-18 | 2019-07-12 | 康美药业股份有限公司 | Merchandise valuation method, terminal and computer readable storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106164969A (en) * | 2013-11-07 | 2016-11-23 | Cfph 有限责任公司 | Transaction based on probability of transaction |
| KR20150077827A (en) * | 2013-12-30 | 2015-07-08 | 플레이메이커스튜디오주식회사 | System for Selling Differently a Show Ticket Price using an Advance Sale Situation and Controlling Method for the Same |
| CN110009400A (en) * | 2019-03-18 | 2019-07-12 | 康美药业股份有限公司 | Merchandise valuation method, terminal and computer readable storage medium |
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