CN111859284A - Method and device for determining apportionment weight value of loaded video - Google Patents

Method and device for determining apportionment weight value of loaded video Download PDF

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CN111859284A
CN111859284A CN202010535594.1A CN202010535594A CN111859284A CN 111859284 A CN111859284 A CN 111859284A CN 202010535594 A CN202010535594 A CN 202010535594A CN 111859284 A CN111859284 A CN 111859284A
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王秋文
李百川
苏伟鹏
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Youmi Technology Co ltd
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Abstract

The invention discloses a method and a device for determining a sharing weight value of a loaded video, wherein the method comprises the following steps: acquiring target data corresponding to all the video with goods of a certain target commodity in a certain target time period, wherein the target data comprises data which has an incidence relation with the sales volume of the target commodity; calculating the apportionment weight value of each video with goods according to the target data corresponding to each video with goods; the distribution weighted value of the video with goods is used for calculating a sales contribution value of the video with goods for the target goods in the target time period. Therefore, the method can provide a mode for determining the apportionment weight value of the video with goods, is favorable for accurately analyzing the contribution of the video with goods to the commodity sales volume, namely is favorable for accurately determining the video with goods effect of each video with goods, and provides an accurate reference basis for selecting a proper video style of the video with goods owner and/or the video with goods.

Description

Method and device for determining apportionment weight value of loaded video
Technical Field
The invention relates to the technical field of internet, in particular to a method and a device for determining a sharing weight value of a video with goods.
Background
With the rapid development of the internet, more and more internet users are provided. In order to expand the audience scope and influence of the goods, the marketing mode of the goods introduces video marketing based on the internet besides the traditional advertisement marketing, for example: the advertiser can select a plurality of video broadcasters to introduce and display the commodities in a video recording or video live broadcasting mode, and further attract more people to buy the commodities, wherein videos issued by the video broadcasters and used for introducing and displaying the commodities can also be called as videos with goods.
In practical applications, there are usually a plurality of videos with goods released by a plurality of video bloggers for the same product, and the styles of videos with goods released by different video bloggers are various, and the sales contribution of videos with goods released by each video blogger to the product is also different. In order to gradually improve the cost performance of commodity video marketing, a commodity video with higher contribution to commodity sales needs to be determined from a plurality of commodity videos of a plurality of video bloggers. Therefore, it is important to accurately determine the sales contribution value of each video with goods to the goods.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and an apparatus for determining a weight value for allocation of a video with goods, which can provide a method for determining a weight value for allocation of a video with goods, thereby facilitating accurate analysis of contribution of a video with goods to a sales volume of goods.
In order to solve the technical problem, a first aspect of the present invention discloses a method for determining a share weight value of a loaded video, including:
acquiring target data corresponding to all taken goods videos of a certain target commodity in a certain target time period, wherein the target data corresponding to the taken goods videos comprise data which are in an incidence relation with the sales volume of the target commodity in all data corresponding to the taken goods videos;
calculating a sharing weight value of each cargo carrying video according to target data corresponding to each cargo carrying video; and the apportionment weight value of the video with goods is used for calculating the sales volume of the video with goods for the target commodity in the target time period.
As an optional implementation manner, in the first aspect of the present invention, the calculating an apportionment weight value of each of the videos with tape according to target data corresponding to each of the videos with tape includes:
calculating the sum of all data in the target data corresponding to each video with goods to obtain a calculation result corresponding to each video with goods;
performing conversion operation on a calculation result corresponding to each video with goods according to a predetermined conversion formula to obtain a conversion result corresponding to each video with goods;
And determining the apportionment weight value of each video with goods according to the corresponding conversion result of each video with goods.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the conversion result corresponding to each of the videos with goods, an apportionment weight value of the video with goods includes:
determining a conversion result corresponding to each loaded video as a distributing weight value of the loaded video; alternatively, the first and second electrodes may be,
determining a weight value correction parameter corresponding to each video with goods, and correcting a conversion result corresponding to the video with goods according to the weight value correction parameter corresponding to each video with goods to obtain a sharing weight value of the video with goods.
As an optional implementation manner, in the first aspect of the present invention, the determining a weight value modification parameter corresponding to each of the videos with goods includes:
and determining a weight value correction parameter corresponding to each video with goods according to at least one of the video type, the delivery channel and the interval duration from the initial release time to the initial time of the target time period.
As an alternative implementation manner, in the first aspect of the present invention, the conversion formula is:
Figure BDA0002536882930000021
Wherein k isi' conversion result corresponding to ith said video with cargo, kiAnd calculating a corresponding calculation result of the ith video with goods, wherein i is a positive integer.
As an optional implementation manner, in the first aspect of the present invention, after the calculating the apportionment weight value of each of the videos with tape according to the target data corresponding to each of the videos with tape, the method further includes:
after the calculating the apportionment weight value of each of the videos according to the target data corresponding to each of the videos, the method further includes:
performing preprocessing operation on the apportioned weight values of all the loaded videos;
updating the apportionment weight value of each of the in-stock videos after the preprocessing operation is performed to the apportionment weight value of each of the in-stock videos;
wherein the sum of the share weight values of all the in-stock videos after the preprocessing operation is performed is equal to a predetermined fixed value.
As an optional implementation manner, in the first aspect of the present invention, the target data corresponding to the loaded video includes at least one of fan data of a video blogger of the loaded video, an accumulated watching amount of the loaded video in the target time period, and a watching amount peak of the loaded video in the target time period;
All in-stock videos of the target item in the target time period comprise all live in-stock videos of the target item in the target time period and/or all non-live in-stock videos of the target item which are watched in the target time period and video contents.
The second aspect of the invention discloses a device for determining the apportionment weight value of a loaded video, which comprises:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring target data corresponding to all the video with goods of a certain target commodity in a certain target time period, and the target data corresponding to the video with goods comprises data which has an incidence relation with the sales volume of the target commodity in all the data corresponding to the video with goods;
the calculation module is used for calculating the apportionment weight value of each cargo video according to the target data corresponding to each cargo video; and the apportionment weight value of the video with goods is used for calculating the sales contribution value of the video with goods to the target commodity in the target time period.
As an optional implementation manner, in the second aspect of the present invention, the calculation module includes:
the calculation submodule is used for calculating the sum of all data in the target data corresponding to each taken video to obtain a calculation result corresponding to each taken video;
The conversion submodule is used for executing conversion operation on the calculation result corresponding to each video with goods according to a predetermined conversion formula to obtain a conversion result corresponding to each video with goods;
and the determining submodule is used for determining the apportionment weight value of the video with the goods according to the conversion result corresponding to each video with the goods.
As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the determining submodule determines the apportionment weight value of each video with goods according to the corresponding conversion result of each video with goods is as follows:
determining a conversion result corresponding to each loaded video as a distributing weight value of the loaded video; alternatively, the first and second electrodes may be,
determining a weight value correction parameter corresponding to each video with goods, and correcting a conversion result corresponding to the video with goods according to the weight value correction parameter corresponding to each video with goods to obtain a sharing weight value of the video with goods.
As an optional implementation manner, in the second aspect of the present invention, the specific manner of determining, by the determining sub-module, the weight value correction parameter corresponding to each of the videos with goods is as follows:
and determining a weight value correction parameter corresponding to each video with goods according to at least one of the video type, the delivery channel and the interval duration from the initial release time to the initial time of the target time period.
As an alternative implementation, in the second aspect of the present invention, the conversion formula is:
Figure BDA0002536882930000041
wherein k isi' conversion result corresponding to ith said video with cargo, kiAnd calculating a corresponding calculation result of the ith video with goods, wherein i is a positive integer.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:
the preprocessing module is used for executing preprocessing operation on the apportioned weight values of all the videos with goods after the calculation module calculates the apportioned weight value of each video with goods according to the target data corresponding to each video with goods;
an updating module, configured to update the apportioned weight value of each of the videos with goods after the preprocessing operation is performed to the apportioned weight value of each of the videos with goods;
wherein the sum of the share weight values of all the in-stock videos after the preprocessing operation is performed is equal to a predetermined fixed value.
As an optional implementation manner, in the second aspect of the present invention, the target data corresponding to the loaded video includes at least one of fan data of a video blogger of the loaded video, an accumulated watching amount of the loaded video in the target time period, and a watching amount peak of the loaded video in the target time period;
All in-stock videos of the target item in the target time period comprise all live in-stock videos of the target item in the target time period and/or all non-live in-stock videos of the target item which are watched in the target time period and video contents.
The third aspect of the present invention discloses another apparatus for determining a distribution weight value of a video-with-cargo, the apparatus comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute part or all of the steps of the method for determining the apportioned weight value of the loaded video disclosed by the first aspect of the invention.
A fourth aspect of the embodiments of the present invention discloses a computer storage medium, where the computer storage medium stores a computer instruction, and the computer instruction, when called, is configured to execute part or all of the steps in the method for determining a shared weight value of a video with a good according to the first aspect of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, target data corresponding to all the video with goods of a certain target commodity in a certain target time period is obtained, wherein the target data corresponding to the video with goods comprises data which has an incidence relation with the sales volume of the target commodity in all the data corresponding to the video with goods; calculating the apportionment weight value of each video with goods according to the target data corresponding to each video with goods; the distribution weighted value of the video with goods is used for calculating a sales contribution value of the video with goods for the target goods in the target time period. Therefore, the method and the device can provide a determination mode of the apportionment weight value of the video with goods, and further contribute to accurately analyzing the contribution of the video with goods to the commodity sales volume.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for determining a shared weight value of a loaded video according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating another method for determining a shared weight value of a video with goods according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for determining a shared weight value of a video tape;
FIG. 4 is a schematic structural diagram of another apparatus for determining a shared weight value of a video tape;
fig. 5 is a schematic structural diagram of another apparatus for determining a shared weight value of a loaded video according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a method and a device for determining a sharing weight value of a loaded video, which can provide a determination mode of the sharing weight value of the loaded video, are favorable for accurately analyzing the contribution of the loaded video to the commodity sales volume, and are also favorable for accurately determining the loading effect of each loaded video, and provide an accurate reference basis for selecting a proper video style of a loaded video and/or a loaded video. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for determining a shared weight value of a video with a good according to an embodiment of the present invention. The method described in fig. 1 may be applied to the apportionment weight determining device, and the embodiment of the present invention is not limited thereto. As shown in fig. 1, the method may include the operations of:
101. the apportionment weight determining device obtains target data corresponding to all the goods-carrying videos of a certain target commodity in a certain target time period.
In the embodiment of the invention, the target data corresponding to the video with goods comprises data which has an association relation with the sales volume of the target goods in all the data corresponding to the video with goods. Further, the target data corresponding to the videos with goods includes data which is in an association relationship with the sales volume of the target goods and has an influence degree on the sales volume of the target goods greater than or equal to a preset degree threshold in all data corresponding to the videos with goods, so that accuracy and efficiency of a weight value of the videos with goods calculated according to the target data of the videos with goods can be improved. The certain target time period is any time period selected by related personnel, and the certain target commodity is any commodity selected by the related personnel.
Still further optionally, the target data corresponding to the loaded video may include at least one of fan data of the video blogger of the loaded video, an accumulated watching amount of the loaded video in the target time period, and a watching amount peak of the loaded video in the target time period.
Still further optionally, all in-stock videos of the target item in the target time period include all live in-stock videos of the target item in the target time period and/or all non-live in-stock videos that are watched in the target time period and video contents include all target items.
Still further optionally, the fan data of the video blogger with the videos may include one or a combination of more of the number of fans of the video blogger, the age level of fans of the video blogger, the number of fans of different genders in fans of the video blogger, the number of fans of different areas in fans of the video blogger, the number of fans of different social attributes in fans of the video blogger, and the like, and the social attribute may be one of middle school students, college students, social workers, retirees, and the like. Preferably, the fan data of the video bloggers with the videos at least comprises the fan number of the video bloggers.
102. The apportionment weight determination device calculates the apportionment weight value of each video with goods according to the target data corresponding to each video with goods.
In the embodiment of the invention, the calculated apportionment weight value of each video with goods is used for calculating the sales contribution value of the video with goods to the target goods in the target time period.
As an alternative embodiment, the calculation of the apportioned weight value of each video-in-stock by the apportioned weight determination means according to the target data corresponding to each video-in-stock may include:
the apportionment weight determining device calculates the sum of all data in the target data corresponding to each video with goods to obtain a calculation result (also called bottom layer weight value) corresponding to each video with goods;
the apportionment weight determining device executes conversion operation on the calculation result corresponding to each video with goods according to a predetermined conversion formula to obtain a conversion result corresponding to each video with goods;
the apportionment weight determining device determines the conversion result corresponding to each loaded video as the apportionment weight value of the loaded video; or determining a weight value correction parameter corresponding to each video with goods, and correcting a conversion result corresponding to each video with goods according to the weight value correction parameter corresponding to each video with goods to obtain a sharing weight value of the video with goods.
In this alternative embodiment, for example, assuming that the number of each video blogger with goods or each video with goods is i, the target data corresponding to the video with goods i includes the number of fans FiThe cumulative viewing volume is QiAnd a peak value of a viewing amount MiAnd if the result of the calculation corresponding to the video with goods i is: k is a radical ofi＝Fi+Qi+Mi。
In this alternative embodiment, before the apportionment weight determining means calculates the sum of all the data in the target data corresponding to each video-on-tape, and obtains the calculation result corresponding to each video-on-tape, the apportionment weight determining means may further perform the following operations:
for any of the above-mentioned tape video, the apportionment weight determining means performs data conversion on data that does not satisfy the calculation order of magnitude in the target data corresponding to the tape video, so that data that does not satisfy the calculation order of magnitude is converted into data that satisfies the calculation order of magnitude.
In the optional implementation manner, due to the fact that the target data corresponding to the video with goods is diverse, before the summation calculation, data which do not meet the calculation order in the target data are subjected to data conversion to obtain data which meet the calculation order, and then subsequent summation calculation is performed, so that the reasonability and the accuracy of the calculated weight value can be improved.
In this optional embodiment, further optionally, the determining, by the apportionment weight determining device, a weight value correction parameter corresponding to each video-with-goods may include:
and the apportionment weight determining device determines the weight value correction parameters corresponding to the video with the goods according to at least one of the video type, the delivery channel and the interval duration from the initial release time to the starting time of the target time period of each video with the goods.
Still further optionally, the above conversion formula is:
Figure BDA0002536882930000081
wherein k isi' conversion result corresponding to ith video in tapeiAnd calculating a corresponding calculation result of the ith video with goods, wherein i is a positive integer.
Wherein, the conversion result corresponding to each video with goods is corrected according to the weight value correction parameter corresponding to each video with goods, and the calculation formula corresponding to the apportionment weight value of the video with goods is obtained as follows:
Figure BDA0002536882930000091
wherein k isi"is the weight value of the ith video with cargo, PiAnd modifying the parameters for the weight values corresponding to the ith video in stock.
For example, when determining the weight value correction parameter according to the delivery channel (i.e. delivery platform) of the video with cargo, PiThe average 1 ten thousand fan publication price can be used as the weight value correction parameter of the ith delivery video.
Therefore, in the optional implementation mode, the conversion operation needs to be executed on the calculation result corresponding to each pickup video through the conversion formula, so that the problems of difference caused by extreme data, basically no effect of low-end flow and low loyalty of traffic stars are solved, obvious difference caused by data such as similar fans is compressed, and the effect of middle waists is favorably improved. In addition, due to the influence of some factors, the feeling of different audience groups on the target commodity is different, influence weights (namely weight value correction parameters) can be determined according to the influence factors, and then the conversion result is corrected or adjusted, so that the accuracy of the finally determined weight value apportionment of the video with the commodity is improved.
Optionally, the method for determining the effect of bringing goods may further include the following steps:
and calculating the sales contribution value of each loaded video to the target commodity in the target time period by the loaded effect determining device according to the apportionment weight value of each loaded video, the sum of the apportionment weight values of all the loaded videos and the acquired sales data of the target commodity in the target time period.
Optionally, the sales contribution value of each taken video to the target product in the target time period may be represented by a percentage, may also be represented by corresponding sales volume data, and may also be represented by a sales contribution grade, which is not limited in the embodiment of the present invention.
Further optionally, after calculating the sales contribution value of the taken-good video to the target commodity in the target time period, the taken-good effect determination apparatus may further perform the following operations:
sequencing the sales contribution value of each video with goods, which is calculated and brought to the target commodity in the target time period, by the goods-carrying effect determining device, and sending the sequencing result to the marketing input person of the target commodity; and/or the presence of a gas in the gas,
and screening a plurality of taken goods videos with the sales contribution value being larger than or equal to a preset sales contribution value according to the calculated sales contribution value of each taken goods video for the target commodity in the target time period by the taken goods effect determining device, and counting one or more combinations of the types of video bloggers of the plurality of taken goods videos, the video styles of the plurality of taken goods videos, the video types of the plurality of taken goods videos, the delivery channels of the plurality of taken goods videos and the like.
Therefore, in the optional embodiment, after the brought goods effect determining device calculates the sales contribution value of each brought goods video to the target goods in the target time period, the sales contribution values are automatically sequenced and sent to the marketing thrower, so that the marketing thrower can know the effect of different brought goods videos on goods marketing in time; in addition, one or more of the types of the video bloggers of the plurality of loaded videos, the video styles of the plurality of loaded videos, the video types of the plurality of loaded videos, the delivery channels of the plurality of loaded videos and the like can be counted, so that a reasonable reference basis can be provided for other marketing deliverers who want to market commodities through the loaded videos.
Still further, the following operations may also be performed by the tape effect determination apparatus:
and judging whether a plurality of loaded videos identical to the video blogger exist in the loaded videos by the loaded effect determining device, and if so, calculating the sum of sales contribution values of all the loaded videos identical to the video blogger to the target commodity in the target time period as the sales contribution value of the video blogger to the target commodity in the target time period.
Still further, the following operations may also be performed by the tape effect determination apparatus:
after calculating the sales contribution value of the video bloggers with a plurality of video with goods identical to the video bloggers for the target commodity in the target time period, the ratio of the sales contribution value of the video bloggers for the target commodity in the target time period to the number of the video with goods released by the video bloggers in all the video with goods is calculated by the video with goods effect determination device as the average sales contribution value of the video blogger single video with goods for the target commodity in the target time period.
Therefore, in the optional embodiment, the sales contribution value brought to the target commodity by the video blogger in the target time period can be intelligently counted by the loading effect determining device, and further, the average sales contribution value brought to the target commodity by the video blogger single loading video in the target time period can be intelligently calculated, so that an effective data basis is provided for finding a suitable video blogger for commodity marketing.
Still further optionally, the following operations may also be performed by the tape effect determination apparatus:
dividing all the video with goods into video groups with goods corresponding to different video types by a device for determining the effect of the video with goods according to the video types of all the video with goods;
And for the loaded video group corresponding to any video type, dividing all the loaded videos in the loaded video group into a plurality of sub-band loaded video groups with different video styles by the loaded effect determining device according to the video styles, and calculating the average sales contribution value of each sub-band loaded video group to the target commodity in the target time period to obtain the average sales contribution value of the loaded videos with different video styles to the target commodity.
Wherein the average sales contribution value of each sub-band good video group to the target product in the target time period is equal to the sum of the sales contribution values of all the good videos in the sub-band good video group to the target product in the target time period, and the sum is divided by the number of all the good videos in the sub-band good video group.
Therefore, the alternative embodiment can also intelligently calculate the average sales contribution value of the taken videos of different video styles under different video types to the target commodity in the target time period by the taken effect determination device, so as to provide an effective reference for selecting a proper video type and video style during commodity marketing.
Therefore, the method described by the embodiment of the invention can provide a mode for determining the apportionment weight value of the loaded video, is favorable for accurately analyzing the contribution of the loaded video to the commodity sales volume, namely is favorable for accurately determining the loading effect of each loaded video, and provides an accurate reference basis for selecting the appropriate video style of the loaded video and/or the loaded video.
Example two
Referring to fig. 2, fig. 2 is a flowchart illustrating another method for determining a shared weight value of a video with a good according to an embodiment of the present invention. The method described in fig. 2 may be applied to the apportionment weight determining device, and the embodiment of the present invention is not limited thereto. As shown in fig. 2, the method may include the operations of:
201. the apportionment weight determining device obtains target data corresponding to all the goods-carrying videos of a certain target commodity in a certain target time period.
202. The apportionment weight determination device calculates the apportionment weight value of each video with goods according to the target data corresponding to each video with goods.
203. The apportionment weight determining device executes preprocessing operation on the apportionment weight values of all the loaded videos.
204. The distribution weight determining means updates the distribution weight value of each of the videos with a good after the execution of the preprocessing operation to the distribution weight value of each of the videos with a good.
Wherein the sum of the share weight values of all the in-stock videos after the preprocessing operation is performed is equal to a predetermined fixed value, such as 1. The apportionment weight value of each video with goods is used for calculating the sales contribution value of the video with goods to the target goods in the target time period.
In the embodiment of the present invention, in order to make the sum of the apportioned weight values of each video with goods be 1 and to facilitate the use of a proportional value in the subsequent calculation of the apportionment effect, softmax processing may be directly performed on the apportioned weight values of all the videos with goods to obtain a final apportioned weight value, where the final apportioned weight value is:
kfi＝softmax([k″1,k″2,k″3,...,k″n])；
and the final weighted value of the ith video with goods is assigned, n is the total number of the video with goods, and i is less than or equal to n.
In the embodiment of the present invention, for other detailed descriptions of step 201 and step 202, please refer to the detailed description of step 101 to step 102 in the first embodiment, which is not repeated herein.
Therefore, the method described by the embodiment of the invention can provide a mode for determining the apportionment weight value of the video with goods, thereby being beneficial to accurately analyzing the contribution of the video with goods to the commodity sales volume, namely being beneficial to accurately determining the video with goods effect of each video with goods and providing an accurate reference basis for selecting a proper video style of the video with goods owner and/or the video with goods; furthermore, softmax processing can be performed on the initially calculated distribution weight value to facilitate use of the ratio value in subsequent calculations of the flattening effect (i.e., sales contribution value).
Optionally, the method for determining the effect of bringing goods may further include the following steps:
and calculating the sales contribution value of each loaded video to the target commodity in the target time period by the loaded effect determining device according to the apportionment weight value of each loaded video, the sum of the apportionment weight values of all the loaded videos and the acquired sales data of the target commodity in the target time period.
In an optional embodiment, calculating, by the brought-goods effect determining device, a sales contribution value that each video brought goods brings to the target goods in the target time period according to the apportionment weight value of each video brought goods, the sum of the apportionment weight values of all video brought goods, and the obtained sales data of the target goods in the target time period may include:
calculating sales increase data of the target commodity in a sub-time period corresponding to each target interval time length from the starting time of the target time period by the loading effect determining device according to the obtained sales data of the target commodity in the target time period in each target interval time length from the starting time of the target time period, the sales data of the starting time of the target time period and the sales data of the ending time of the target time period;
Calculating, by the brought-goods effect determination device, a sub-sales contribution value brought to the target commodity by each of the brought-goods videos in each of the sub-time periods according to the apportionment weight value of each of the brought-goods videos, the sum of the apportionment weight values of all of the brought-goods videos, and the calculated sales volume increase data of the target commodity in each of the sub-time periods; or calculating a sub-sale contribution value brought by each item-carrying video to the target commodity in each sub-time period according to the apportionment weight value of each item-carrying video, the sum of the apportionment weight values of all the item-carrying videos, the calculated sales volume increase data of the target commodity in each sub-time period and the appearance condition of the target commodity in each item-carrying video in each sub-time period;
the accumulated value of the sub-sales contribution value of each taken video to the target commodity in each sub-period is calculated by the taken effect determination means as the sales contribution value of the taken video to the target commodity in the target period.
Any two sub-time periods do not overlap, the sales volume increase data of each sub-time period is equal to the sales volume data of the deadline of the sub-time period minus the sales volume data of the start time of the sub-time period, and further, the calculated sales volume increase data can be rounded up or rounded down. It should be noted that the overlap of two sub-periods referred to in the present invention refers to the time intersection of the sub-periods, and does not include the overlap of the ending time of one sub-period and the starting time of the next sub-period. The sub-period corresponding to each target interval duration from the start time of the target period is specifically a period consisting of the start time of the target period, each target time and the end time of the target period, that is, the start time and the first target time constitute a sub-period, the second target time and the third target time constitute a sub-period, and so on until the last target time and the end time of the target period constitute the sub-period.
And the sub-sales contribution value of each loaded video for the target commodity in each sub-time period is equal to the ratio of the sales volume increment data of the sub-time period multiplied by the sum of the apportionment weight value of the loaded video and the apportionment weight values of all the loaded videos. Wherein, the calculation formula of the sub-sale contribution value brought by the ith video with goods for the target goods in the jth sub-time period is as follows:
Figure BDA0002536882930000131
wherein D isijSub-sales contribution value, S, brought to the target item for the jth sub-period of time for the ith video of taken goodjAnd increasing the sales volume of the target commodity in the jth sub-time period. And the ith video with cargo is in the target time periodThe calculation formula of the sub-sales contribution value brought to the target commodity is as follows:
Di＝Di1+Di2+...+Dij+...Dim；
wherein m is the number or quantity of the sub-time periods included in the target time period.
It can be seen that, in this alternative embodiment, the brought goods effect determination device can calculate the sales contribution value of each taken goods video to the target commodity in the target time period by calculating the accumulated value of the sub-sales contribution value of each taken goods video to the target commodity in each sub-time period, so as to improve the accuracy of the calculated sales contribution value of the taken goods video to the target commodity in the target time period, and the shorter the target interval duration is, the more correct the calculated sales contribution value is; alternatively, the occurrence of the target product in each sub-time period can be considered by the pickup effect determination device when calculating the sub-sales contribution value of each pickup video to the target product in each sub-time period, which is beneficial to further improving the accuracy of the calculated sub-sales contribution value of each pickup video to the target product in each sub-time period.
It should be noted that, in practical applications, which of the two embodiments is specifically adopted to calculate the sub-sales contribution value of each pickup video to the target product in each sub-time period may be determined according to the target interval duration. If the target interval duration is short, the occurrence condition of the target commodity in each video with the commodity in each sub-time period does not need to be considered, namely, the first mode is used; if the target interval is long, the appearance of the target product in each loaded video in each sub-period needs to be considered, that is, the target product is calculated by using the second method.
Still further, before the brought good effect determination device calculates the sales contribution value of each of the brought good videos to the target product in the target time period according to the distribution weight value of each of the brought good videos, the sum of the distribution weight values of all the brought good videos, and the acquired sales volume data of the target product in the target time period, the brought good effect determination device may further perform the following operations:
acquiring sales data of target commodities at each target moment every target interval time from the starting moment of the target time period by a loading effect determining device;
Judging whether empty data time when the sales volume data are empty exists in all target time or not by the goods carrying effect determining device according to the obtained sales volume data of all target time;
when the empty data moment is judged not to exist in all target moments, the goods-carrying effect determining device triggers and executes the operation of calculating the sales contribution value of each goods-carrying video to the target goods in the target time period according to the sharing weight value of each goods-carrying video, the sum of the sharing weight values of all the goods-carrying videos and the obtained sales data of the target goods in the target time period.
Further, when it is determined that at least one empty data time exists in all the target times, the tape effect determination device supplements the sales data at each empty data time, and triggers the operation of calculating the sales contribution value of each tape video to the target product in the target time period according to the distribution weight value of each tape video, the sum of the distribution weight values of all the tape videos, and the acquired sales data of the target product in the target time period.
Therefore, in the optional embodiment, the cargo carrying effect determination device can judge whether there is a blank data moment in the target moment before calculating the sales contribution value of each cargo carrying video to the target commodity in the target time period, and if there is the blank data moment, the sales volume data of the blank data moment needs to be supplemented, which is beneficial to improving the calculation accuracy and the calculation efficiency.
Still further alternatively, before the sales volume data at each empty data time is supplemented by the tape effectiveness determining means, the following operations may be performed by the tape effectiveness determining means:
determining all first type of empty data moments from all empty data moments by a cargo carrying effect determining device, wherein the first type of empty data moments are not adjacent to any empty data moments except the first type of empty data moments; alternatively, the first and second electrodes may be,
and determining all second type null data moments from all null data moments by the loading effect determining device, wherein the second type null data moments are adjacent to at least one null data moment except the second type null data moments.
Wherein, supplementing the sales data of each empty data moment by the tape cargo effect determination device may include:
and supplementing the sales volume data of each blank data moment by a loading effect determining device according to a data supplementing mode matched with the type of each blank data moment.
The type of the null data time is used to specifically indicate whether the null data time belongs to a first type of null data time or a second type of null data time.
It can be seen that in this alternative embodiment, after the category of each time of the empty data is determined, the sales data may be supplemented by the tape effectiveness determination device according to the data supplement manner matched with the category.
As an alternative embodiment, supplementing the sales data of each empty data time by the data supplementing manner matched with the category of each empty data time by the tape cargo effect determining device may include
For any first-type empty data time, sequentially acquiring first sales volume data of each first non-empty data time in a first preset number of previous non-empty data times before the first-type empty data time and second sales volume data of each second non-empty data time in a second preset number of next non-empty data times after the first-type empty data time from all target times according to the sequence of short time and long time from the first-type empty data time by a cargo carrying effect determining device;
supplementing the sales data of the first kind of null data time by the tape-good effect determination means based on the first sales data of each preceding non-null data time and the second sales data of each succeeding non-null data time
In this alternative embodiment, the first preset number may be equal to 1 and the second preset number may be equal to 1. Wherein supplementing, by the tape-good-effect determination apparatus, the sales data at the first-type empty data time based on the first sales data at each preceding non-empty data time and the second sales data at each succeeding non-empty data time may include:
Calculating, by the tape effect determination device, an average of the second sales data at the time of the following non-empty data and the first sales data at the time of the preceding non-empty data;
when the average value is an integer, supplementing the sales volume data of the first type of empty data time to the average value by a cargo carrying effect determining device;
when the average value is a non-integer, the sales data at the time of the first type of empty data is supplemented by the tape effect determination means to the rounded-up value or rounded-down value of the average value.
After the average value is calculated, the sales data at the first type of empty data may be directly supplemented to the average value by the loading effect determination device, and it is not necessary to determine whether the average value is an integer.
It can be seen that, in the alternative embodiment, when the sales volume data is supplemented to the first-class null data time, the delivery effect determination device can directly supplement the sales volume data of the first-class null data time according to the average value of the sales volume data of the adjacent preceding non-null data time and the adjacent following non-null data time, so that the error is small, and the data supplement speed is high.
As an alternative embodiment, supplementing the sales data of each empty data time by the tape effectiveness determination apparatus in a data supplementing manner according to the category matching of each empty data time may include:
Dividing all second type empty data moments into a plurality of moment sets by a cargo carrying effect determining device, wherein any two second type empty data moments in the same moment set are directly adjacent or indirectly adjacent through at least one second type empty data moment, and any two second type empty data moments in different moment sets are not directly adjacent and are not indirectly adjacent through the second type empty data moment;
for any time set, determining the target number of the sub-time periods included in the time set, the minimum second-class null data time and the maximum second-class null data time in the time set by a loading effect determining device, and acquiring first sales volume data of a previous non-null data time closest to the minimum second-class null data time and second sales volume data of a next non-null data time closest to the maximum second-class null data time from all target times, wherein the target number is equal to the number of the second-class null data times included in the time set plus 1;
and calculating the difference value of the second sales volume data and the first sales volume data by the tape cargo effect determining device, and supplementing the sales volume data of each second type of null data time included in the time set according to the second sales volume data, the first sales volume data, the target quantity and the difference value.
The sub-time period included in the time set is composed of a sub-time period formed by all two directly adjacent second-type null data times in the time set, a sub-time period formed by a preceding non-null data time and a minimum second-type null data time in the time set, and a sub-time period formed by a following non-null data time and a maximum second-type null data time in the time set.
Further, supplementing, by the tape effect determination apparatus, the sales volume data of each second type of empty data time included in the time set according to the second sales volume data, the first sales volume data, the target quantity, and the difference value, may include:
and the loading effect determining device is used for evenly spreading each second type empty data time included in the time set according to the second sales volume data and the first sales volume data according to the average value to obtain the sales volume data of each second type empty data time in the time set.
Each time set comprises sub-time periods which are composed of a preceding non-null data time closest to a minimum second-class null data time of the time set, each second-class null data time and a following non-null data time closest to a maximum second-class null data time of the time set in sequence, wherein except one time endpoint of each sub-time period is overlapped, intersection or overlapping of other times does not exist, and the time length of each sub-time period is equal to the target interval time length.
Specifically, the optional implementation first calculates a sales volume increment average value of each sub-time segment in the time set, where the sales volume increment average value is equal to a difference between the sales volume data of the second time point (i.e., the subsequent non-null data time closest to the maximum second-type null data time of the time set) and the sales volume data of the first time point (i.e., the prior non-null data time closest to the minimum second-type null data time of the time set), and then divides the difference by the number of sub-time segments included in the time set. In practical application, since there is no less than one sales increment, the calculated average value of the sales increments needs to be estimated as an integer, that is, the average value of the sales increments of the sub-time periods corresponding to each second-class null data time except the maximum second-class null data time (or the minimum second-class null data time) in the time set can be sequentially estimated as an integer according to a rounding manner, and then the sub-time period composed of the maximum second-class null data time (or the minimum second-class null data time) and the second time point (or the first time point) in the time set is used for accepting errors, so as to ensure that the differences between the sales increments and the sales data of the second time point and the sales data of the first time period are kept consistent, or alternatively, the sales increments of the time set except the maximum second-class null data time (or the minimum second-class null data time) can be sequentially rounded up and down according to a cross-up and down manner The average value of the sales volume increment of the sub-time period corresponding to each second-class null data time is estimated to be an integer, and then the sub-time period formed by the maximum second-class null data time (or the minimum second-class null data time) and the second time point (or the first time point) in the time set is used for accepting errors so as to ensure that the sales volume increment and the difference value of the sales volume data of the second time point and the sales volume data of the first time period are kept consistent.
As another alternative, supplementing, by the tape effect determination apparatus, the sales volume data of each second-type null data time included in the time set according to the second sales volume data, the first sales volume data, the target number, and the difference value may include:
dividing the determined parent time set into a front time set and a rear time set corresponding to the parent time set by a cargo carrying effect determining device according to a dichotomy, calculating the sales volume increment of the front time set and the sales volume increment of the rear time set corresponding to the parent time set according to the sales volume increment of the parent time set and the allocation proportion corresponding to the parent time set, caching the sales volume increment of the child time sets of which the number of the child time periods in the front time set and the rear time set corresponding to the parent time set meets a preset number condition, and judging whether the child time sets of which the number of the child time periods does not meet the preset number condition exist in the front time set and the rear time set corresponding to the parent time set;
when the judgment result is negative, supplementing the sales volume data of each second type of null data time included in the time set by the tape goods effect determination device according to the second sales volume data, the first sales volume data and the cached sales volume increment of all the sub-time sets of which the number of the included sub-time periods meets the preset number condition;
If so, determining, by the cargo carrying effect determination device, a child time set, of which the number of child time periods included in the previous time set and the subsequent time set corresponding to the parent time set does not satisfy the preset number condition, as a new parent time set, repeatedly performing the above-mentioned bisection to divide the determined parent time set into the previous time set and the subsequent time set corresponding to the parent time set, calculating the sales volume increment of the previous time set and the sales volume increment of the subsequent time set corresponding to the parent time set according to the sales volume increment of the parent time set and the apportionment proportion corresponding to the parent time set, caching the sales volume increment of the child time set of which the number of child time periods included in the previous time set and the subsequent time set corresponding to the parent time set satisfies the preset number condition, and determining whether there is a sales volume increment of the child time period of which the number of child time periods included in the previous time set and the subsequent time set corresponding to the parent time set does not satisfy the preset number condition or not exist in the previous time set and and (5) operation of the sub-time sets.
And the initial determined mother time set is the time set, and the sales volume increment of the time set is equal to the difference.
In this alternative embodiment, when dividing the parent time set into the previous time set and the later time set corresponding to the parent time set, the number of sub time periods included in the parent time set may be considered. If the number is even, the number of the sub time periods included in the previous time set is consistent with the number of the sub time periods included in the later time set, namely, the mother time set is equally divided into two; if the number is odd, the number of sub-periods comprised by the previous time instant set may be 1 less or 1 more than the number of sub-periods comprised by the subsequent time instant set. And the sales volume increment corresponding to the parent time set is equal to the sales volume data of the maximum time of the sub-time periods included in the parent time set minus the sales volume data of the minimum time of the sub-time periods included in the parent time set, wherein the maximum time of the sub-time periods included in the parent time set is the adjacent non-null data time of the maximum time included in the parent time set, and the minimum time of the sub-time periods included in the parent time set is the adjacent non-null data time of the minimum time included in the parent time set.
In this optional embodiment, the apportionment proportions corresponding to the parent time set include a first apportionment proportion of a previous time set and a second apportionment proportion of a subsequent time set, and the first apportionment proportion of the previous time set is equal to the number of sub-time periods included in the previous time set to the total number of sub-time periods included in the parent time set, and the second apportionment proportion of the subsequent time set is equal to the number of sub-time periods included in the subsequent time set to the total number of sub-time periods included in the parent time set, and the sales volume increment of the previous time set corresponding to the parent time set is determined according to a product of the first apportionment proportion and the sales volume increment of the parent time set, and the sales volume increment of the subsequent time set corresponding to the parent time set is determined according to a product of the second apportionment proportion and the sales volume increment of the parent time set. When the product of one of the apportionment ratios and the sales volume increment of the parent time set is not an integer, the product of the apportionment ratio and the sales volume increment of the parent time set needs to be rounded in one of an upward rounding mode, a downward rounding mode and a rounding mode, after the product of the apportionment ratio and the sales volume increment of the parent time set is rounded to obtain the corresponding sales volume increment, a substitute value of the product of the other apportionment ratio and the sales volume increment of the parent time set can be obtained according to the difference between the sales volume increment of the parent time set and the sales volume increment obtained after rounding, and the substitute value is an integer.
Therefore, the optional implementation mode can realize the supplement of the sales volume data of the empty data at the moment by the delivery effect determining device in a dichotomy mode, and compared with a mean value apportionment mode, the mode can reduce the occurrence of data explosion or data fall in the sub-time period of the last error, so that the supplemented sales volume data can be in line with the growth trend of the sales volume data, and the rationality and the reliability of the supplemented sales volume data are improved.
It should be noted that, in other alternative embodiments, the following operations may also be performed by the tape effectiveness determination apparatus before the sales volume data at each empty data time is supplemented:
and performing data fitting operation on the sales volume data of all the non-empty data moments except all the empty data moments in all the target moments by the tape cargo effect determining device to obtain a sales volume curve corresponding to the target time period, wherein the sales volume curve is used for representing the corresponding relation between the moments in the target time period and the sales volume data.
At this time, the replenishment of the sales volume data for each empty data time by the tape effect determination means may include:
and the goods carrying effect determining device substitutes each empty data moment into the sales volume curve in sequence to obtain the sales volume data of each empty data moment.
Therefore, the optional embodiment can also supplement the sales volume data at each empty data moment by the cargo carrying effect determining device in a curve fitting manner, which is beneficial to improving the matching degree of the supplemented sales volume data and the sales volume growth trend, and can improve the supplement efficiency of the sales volume data at the empty data moment compared with the bisection method and mean average.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a device for determining a shared weight value of a video with a good according to an embodiment of the present invention. As shown in fig. 3, the apparatus may include:
the obtaining module 301 is configured to obtain target data corresponding to all videos of a target product in a certain target time period, where the target data corresponding to the videos of the target product includes data related to the sales volume of the target product in all data corresponding to the videos of the target product.
A calculating module 302, configured to calculate a split weight value of each video with goods according to target data corresponding to each video with goods.
The allocation weight value of the video with goods calculated by the calculating module 302 is used for calculating a sales contribution value of the video with goods for the target goods in the target time period.
It can be seen that the implementation of the apparatus described in fig. 3 can provide a way for determining the apportioned weight value of the videos with goods, thereby facilitating to accurately analyze the contribution of the videos with goods to the sales volume of the goods, that is, facilitating to accurately determine the video with goods effect of each video with goods, and providing an accurate reference basis for selecting an appropriate video style of the videos with goods and/or bloggers with goods.
In an alternative embodiment, referring to fig. 4, the calculation module 302 may include:
the calculating submodule 3021 is configured to calculate a sum of all data in the target data corresponding to each pickup video, and obtain a calculation result corresponding to each pickup video.
The conversion submodule 3022 is configured to perform a conversion operation on the calculation result corresponding to each video with goods according to a predetermined conversion formula, so as to obtain a conversion result corresponding to each video with goods.
A determining submodule 3023, configured to determine a distributing weight value of each loaded video according to a corresponding conversion result of the loaded video.
Optionally, the specific manner of determining the apportionment weight value of each video with goods by the determining submodule 3023 according to the conversion result corresponding to each video with goods is as follows:
determining a conversion result corresponding to each video with goods as a distributing weight value of the video with goods; alternatively, the first and second electrodes may be,
Determining a weight value correction parameter corresponding to each video with goods, and correcting a conversion result corresponding to each video with goods according to the weight value correction parameter corresponding to each video with goods to obtain a sharing weight value of the video with goods.
Still further, the specific manner of determining the weight value correction parameter corresponding to each video-with-goods by the determining submodule 3023 is as follows:
and determining a weight value correction parameter corresponding to each video with goods according to at least one of the video type, the delivery channel and the interval duration from the initial release time to the initial time of the target time period.
Still further, the above conversion formula is:
Figure BDA0002536882930000211
wherein k isi' conversion result corresponding to ith video in tapeiAnd calculating a corresponding calculation result of the ith video with goods, wherein i is a positive integer.
Wherein, the conversion result corresponding to each video with goods is corrected according to the weight value correction parameter corresponding to each video with goods, and the calculation formula corresponding to the apportionment weight value of the video with goods is obtained as follows:
Figure BDA0002536882930000212
wherein k isi"is the weight value of the ith video with cargo, PiFor ith tape videoAnd correcting parameters according to the weight values.
In another alternative embodiment, as shown in fig. 4, the apparatus may further include:
a preprocessing module 303, configured to perform a preprocessing operation on the apportioning weight values of all the videos with goods after the calculating module 302 calculates the apportioning weight value of each video with goods according to the target data corresponding to each video with goods.
An updating module 304, configured to update the apportionment weight value of each in-stock video after the preprocessing operation is performed to the apportionment weight value of each in-stock video.
Wherein the sum of the contribution weight values of all the in-stock videos after the preprocessing operation is performed is equal to a predetermined fixed value, for example, 1.
Wherein, for making the sum of the weight value of apportioning of every video of bringing goods be 1 and for the convenience of using the proportional value when subsequently calculating the effect of equity, then can directly do the softmax to the weight value of apportioning of all videos of bringing goods and handle, obtain final weight value of apportioning, and final weight value of apportioning is:
kfi＝softmax([k″1,k″2,k″3,...,k″n])；
wherein k isfiAnd (4) a final weighted value of the ith video with goods is allocated, n is the total number of the video with goods, and i is less than or equal to n.
Optionally, the target data corresponding to the video with goods includes at least one of fan data of the video blogger of the video with goods, an accumulated watching amount of the video with goods in the target time period, and a peak value of the watching amount of the video with goods in the target time period.
Optionally, all the videos with goods of the target goods in the target time period include all the live videos with goods of the target goods in the target time period and/or all the non-live videos with goods of the target goods in the target time period.
It can be seen that the implementation of the apparatus described in fig. 4 also enables softmax processing of the initially calculated apportionment weight values in order to use the proportion values in the subsequent calculation of the apportionment effect (i.e. the sales contribution value). And for the video with goods of which the video type is the live broadcast type, the marketing effect of each video with goods for the goods marketed by the video with goods can be calculated for each new video with goods and the new goods in the mode disclosed by the optional embodiment.
Example four
Referring to fig. 5, fig. 5 is a schematic structural diagram of another apparatus for determining a shared weight value of a video with a good according to an embodiment of the present disclosure. As shown in fig. 5, the apparatus may include:
a memory 401 storing executable program code;
a processor 402 coupled with the memory 401;
the processor 402 calls the executable program code stored in the memory 401 to execute the steps of the method for determining the distribution weight value of the loaded video according to the first embodiment or the second embodiment of the present invention.
EXAMPLE five
The embodiment of the invention discloses a computer storage medium, which stores a computer instruction, and the computer instruction is used for executing the steps of the method for determining the apportioned weight value of the video with goods disclosed in the first embodiment or the second embodiment of the invention when being called.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, wherein the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable rewritable Read-Only Memory (EEPROM), a compact disc-Read-Only Memory (CD-ROM) or other magnetic disk memories, a magnetic tape Memory, a magnetic disk, a magnetic tape Memory, a magnetic tape, and a magnetic tape, Or any other medium which can be used to carry or store data and which can be read by a computer.
Finally, it should be noted that: the method and the device for determining a weight value for a distribution of a video tape cargo disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (13)

1. A method for determining a shared weight value of a loaded video, the method comprising:
acquiring target data corresponding to all taken goods videos of a certain target commodity in a certain target time period, wherein the target data corresponding to the taken goods videos comprise data which are in an association relation with the sales volume of the target commodity in all data corresponding to the taken goods videos;
calculating a sharing weight value of each cargo carrying video according to target data corresponding to each cargo carrying video; and the apportionment weight value of the video with goods is used for calculating the sales contribution value of the video with goods to the target commodity in the target time period.
2. The method of claim 1, wherein said calculating an apportionment weight value for each of the videos according to the target data corresponding to each of the videos comprises:
calculating the sum of all data in the target data corresponding to each video with goods to obtain a calculation result corresponding to each video with goods;
performing conversion operation on a calculation result corresponding to each video with goods according to a predetermined conversion formula to obtain a conversion result corresponding to each video with goods;
and determining the apportionment weight value of each video with goods according to the corresponding conversion result of each video with goods.
3. The method of claim 2, wherein determining the assigned weight value of each of the videos according to the conversion result corresponding to the video comprises:
determining a conversion result corresponding to each loaded video as a distributing weight value of the loaded video; alternatively, the first and second electrodes may be,
determining a weight value correction parameter corresponding to each video with goods, and correcting a conversion result corresponding to the video with goods according to the weight value correction parameter corresponding to each video with goods to obtain a sharing weight value of the video with goods.
4. The method for determining a weight value for distribution of videos with goods according to claim 3, wherein the determining a weight value modification parameter corresponding to each video with goods comprises:
and determining a weight value correction parameter corresponding to each video with goods according to at least one of the video type, the delivery channel and the interval duration from the initial release time to the initial time of the target time period.
5. The method for determining a distribution weight value of a loaded video according to any one of claims 2 to 4, wherein the conversion formula is:
Figure FDA0002536882920000021
wherein k isi' conversion result corresponding to ith said video with cargo, kiAnd calculating a corresponding calculation result of the ith video with goods, wherein i is a positive integer.
6. The method of determining an apportionment weight value of a loaded video according to claim 5, wherein after calculating an apportionment weight value of each loaded video according to the target data corresponding to each loaded video, the method further comprises:
after the calculating the apportionment weight value of each of the videos according to the target data corresponding to each of the videos, the method further includes:
performing preprocessing operation on the apportioned weight values of all the loaded videos;
Updating the apportionment weight value of each of the in-stock videos after the preprocessing operation is performed to the apportionment weight value of each of the in-stock videos;
wherein the sum of the share weight values of all the in-stock videos after the preprocessing operation is performed is equal to a predetermined fixed value.
7. The method for determining a shared weight value of a loaded video according to claim 6, wherein the target data corresponding to the loaded video includes at least one of fan data of a video blogger of the loaded video, an accumulated watching amount of the loaded video in the target time period, and a peak value of the watching amount of the loaded video in the target time period;
all in-stock videos of the target item in the target time period comprise all live in-stock videos of the target item in the target time period and/or all non-live in-stock videos of the target item which are watched in the target time period and video contents.
8. An apparatus for determining a distribution weight value of a video-in-stock, the apparatus comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring target data corresponding to all the video with goods of a certain target commodity in a certain target time period, and the target data corresponding to the video with goods comprises data which has an incidence relation with the sales volume of the target commodity in all the data corresponding to the video with goods;
The calculation module is used for calculating the apportionment weight value of each cargo video according to the target data corresponding to each cargo video; and the apportionment weight value of the video with goods is used for calculating the sales contribution value of the video with goods to the target commodity in the target time period.
9. The apparatus of claim 8, wherein the calculating module comprises:
the calculation submodule is used for calculating the sum of all data in the target data corresponding to each taken video to obtain a calculation result corresponding to each taken video;
the conversion submodule is used for executing conversion operation on the calculation result corresponding to each video with goods according to a predetermined conversion formula to obtain a conversion result corresponding to each video with goods;
and the determining submodule is used for determining the apportionment weight value of the video with the goods according to the conversion result corresponding to each video with the goods.
10. The apparatus for determining an apportionment weight value of a loaded video according to claim 9, wherein the determining sub-module determines the apportionment weight value of the loaded video according to the conversion result corresponding to each loaded video in a specific manner:
Determining a conversion result corresponding to each loaded video as a distributing weight value of the loaded video; alternatively, the first and second electrodes may be,
determining a weight value correction parameter corresponding to each video with goods, and correcting a conversion result corresponding to the video with goods according to the weight value correction parameter corresponding to each video with goods to obtain a sharing weight value of the video with goods.
11. The apparatus according to claim 10, wherein said apparatus further comprises:
the preprocessing module is used for executing preprocessing operation on the apportioned weight values of all the videos with goods after the calculation module calculates the apportioned weight value of each video with goods according to the target data corresponding to each video with goods;
an updating module, configured to update the apportioned weight value of each of the videos with goods after the preprocessing operation is performed to the apportioned weight value of each of the videos with goods;
wherein the sum of the share weight values of all the in-stock videos after the preprocessing operation is performed is equal to a predetermined fixed value.
12. An apparatus for determining a distribution weight value of a video-in-stock, the apparatus comprising:
A processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the method for determining a split weight value of a video-in-stock according to any one of claims 1 to 7.
13. A computer storage medium storing computer instructions which, when invoked, perform the method of determining a split weight value of a loaded video according to any one of claims 1 to 7.
CN202010535594.1A 2020-06-12 2020-06-12 Method and device for determining apportionment weight value of loaded video Pending CN111859284A (en)

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JP2001084239A (en) * 1999-09-13 2001-03-30 Toshiba Corp Method for analyzing and predicting merchandise sales quantity, method for deciding merchandise order quantity and storage medium with program stored therein
CN103246986A (en) * 2013-04-26 2013-08-14 银联商务有限公司 Contribution distributing method and system
CN106791901A (en) * 2016-12-15 2017-05-31 Tcl集团股份有限公司 A kind of direct broadcast band sort method and its device
CN110929127A (en) * 2019-12-05 2020-03-27 广州市原象信息科技有限公司 Method for analyzing Taobao live broadcast putting effect and computer equipment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001084239A (en) * 1999-09-13 2001-03-30 Toshiba Corp Method for analyzing and predicting merchandise sales quantity, method for deciding merchandise order quantity and storage medium with program stored therein
CN103246986A (en) * 2013-04-26 2013-08-14 银联商务有限公司 Contribution distributing method and system
CN106791901A (en) * 2016-12-15 2017-05-31 Tcl集团股份有限公司 A kind of direct broadcast band sort method and its device
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