CN111985967A - Article information generation method and device, electronic equipment and computer readable medium - Google Patents

Article information generation method and device, electronic equipment and computer readable medium Download PDF

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CN111985967A
CN111985967A CN202010823910.5A CN202010823910A CN111985967A CN 111985967 A CN111985967 A CN 111985967A CN 202010823910 A CN202010823910 A CN 202010823910A CN 111985967 A CN111985967 A CN 111985967A
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师粼波
余威
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Beijing Missfresh Ecommerce Co Ltd
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Abstract

The embodiment of the disclosure discloses a method, a device, an electronic device and a computer readable medium for generating article information. One embodiment of the method comprises: acquiring the article acquisition quantity and the article click quantity of each article in the article group in a preset historical time period to obtain an article acquisition quantity set and an article click quantity set; generating an item acquisition rate based on the item acquisition amount set and the item click amount set; and generating an article estimated acquisition quantity set in a preset future time period based on the article acquisition quantity set, the article click quantity set and the article acquisition rate. This embodiment improves the turnover rate of the article.

Description

Article information generation method and device, electronic equipment and computer readable medium
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to an article information generation method, an article information generation device, electronic equipment and a computer readable medium.
Background
With the development of internet technology and the arrival of the e-commerce era, more and more online shopping platforms appear. The user may browse the web pages of the online shopping platform directly on the web to select the item. In order to improve the turnover rate of the articles of the platform, the sales volume of the articles is accurately estimated by combining intelligent equipment. Thus, it may be helpful to provide reference data for replenishment of the item in order to improve the turnover rate of the item.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure provide an article information generating method, apparatus, electronic device and computer readable medium to solve the technical problems mentioned in the above background.
In a first aspect, some embodiments of the present disclosure provide an item information generating method, including: acquiring the article acquisition quantity and the article click quantity of each article in the article group in a preset historical time period to obtain an article acquisition quantity set and an article click quantity set; generating an item acquisition rate based on the item acquisition amount set and the item click amount set; and generating an item pre-estimation acquisition quantity set in a preset future time period based on the item acquisition quantity set, the item click quantity set and the item acquisition rate, wherein the duration of the preset historical time period is equal to the duration of the preset future time period.
In a second aspect, some embodiments of the present disclosure provide an article information generating method and apparatus, where the apparatus includes: the acquisition unit is configured to acquire an article acquisition amount and an article click amount of each article in an article group in a preset historical time period to obtain an article acquisition amount set and an article click amount set; a first generation unit configured to generate an item acquisition rate based on the item acquisition amount set and the item click amount set; and a second generating unit configured to generate an item pre-estimate acquisition amount set within a preset future time period based on the item acquisition amount set, the item click amount set, and the item acquisition rate, wherein the duration of the preset historical time period is equal to the duration of the preset future time period.
In some embodiments, the data processing each item acquisition quantity in the item acquisition quantity set, the item click quantity in the item click quantity set corresponding to the item acquisition quantity, and the item acquisition rate to generate an item estimated acquisition quantity in a preset future time period includes:
inputting the item acquisition quantity, the item click quantity in the item click quantity set corresponding to the item acquisition quantity, the item acquisition total quantity, the item click total quantity, the item acquisition rate, the average value of each item acquisition quantity in the item acquisition quantity sequence, the average value of each item click quantity in the item click quantity sequence, and the quantity of the item acquisition quantity included in the item acquisition quantity set into the following formula to generate an item estimated acquisition quantity in a preset future time period:
Figure BDA0002635462160000021
wherein P represents the estimated acquisition amount of the article in a preset future time period, X represents the acquisition amount of the article, Y represents the click amount of the article in the click amount set corresponding to the acquisition amount of the article, t represents the number of the acquisition amounts of the article in the click amount set, and M represents the number of the acquisition amounts of the article in the click amount setiRepresenting an item acquisition quantity, N, of an ith item in the group of itemsiAn item click quantity representing an ith item in the item group, G representing the item acquisition total quantity, G representing the item click total quantity, a representing a mean value of the item acquisition quantities in the item acquisition quantity sequence, B representing a mean value of the item click quantities in the item click quantity sequence, and θ representing the item acquisition rate, [ 2 ]]Indicating a rounding down operation.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon which, when executed by one or more processors, cause the one or more processors to implement the method as described in the first aspect.
In a fourth aspect, some embodiments of the disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method as described in the first aspect.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: first, the item acquisition rate may be generated by processing the item acquisition amount set and the item click amount set. Then, the execution subject may generate an item pre-estimation acquisition amount set within a preset future time period based on the item acquisition amount set, the item click amount set, and the item acquisition rate. Optionally, the execution main body may obtain the ratio sequence by processing the item acquisition quantity sequence and the item click quantity sequence. And then, screening the ratio in the ratio sequence according to a preset condition. And the ratio values are screened through preset conditions, so that the interference of abnormal values is eliminated. Therefore, the accuracy of the acquisition rate of the articles can be improved, and a foundation is laid for subsequent sales prediction. And sequencing the article acquisition quantities in the article acquisition quantity set according to the numerical value from large to small to obtain an article acquisition quantity sequence. The average of the individual article acquisition quantities can be determined from the article acquisition quantity sequence. And predicting the item acquisition quantity according to the item acquisition quantity, the item click quantity in the item click quantity set corresponding to the item acquisition quantity, the item acquisition rate and the average value of the item acquisition quantities, and generating an item estimated acquisition quantity set in a preset future time period. Optionally, the set of estimated acquisition amounts of the articles is sent to a display device with a display function so as to be displayed. Optionally, the vehicle scheduling device in communication connection with the display device may be controlled to perform vehicle scheduling based on the set of estimated acquisition amounts of the articles. The vehicle scheduling can be carried out according to the estimated acquisition quantity of different articles, and suitable vehicles can be arranged. Therefore, the goods transportation system is beneficial to orderly transporting and planning the transportation route of the goods, reasonably planning the transportation route, saving the transportation time and improving the turnover rate of the goods.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of one application scenario of an item information generation method in accordance with some embodiments of the present disclosure;
FIG. 2 is a flow diagram of some embodiments of an item information generation method according to the present disclosure;
FIG. 3 is a flow chart of still further embodiments of an item information generation method according to the present disclosure;
FIG. 4 is a schematic block diagram of some embodiments of an item information generation apparatus according to the present disclosure;
FIG. 5 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of an application scenario of an item information generation method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may generate an item acquisition rate 104 from an item acquisition amount set 102 and an item click amount set 103. Second, the computing device 101 may generate an item forecast acquisition amount set 105 according to the item acquisition amount set 102, the item click amount set 103, and the item acquisition rate 104. Optionally, computing device 101 may output collection of pre-estimated acquisition of items 105 on display device 106. Optionally, the computing device 101 may control the display device 106 connected in communication to display the set of estimated acquisition amounts of the items, so that the operating device 107 performs vehicle scheduling based on the set of estimated acquisition amounts of the items.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of an item information generation method in accordance with the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The method for generating the article information comprises the following steps:
step 201, acquiring an item acquisition quantity and an item click quantity of each item in an item group in a preset historical time period to obtain an item acquisition quantity set and an item click quantity set.
In some embodiments, an executing subject (e.g., a computing device shown in fig. 1) for the item information generating method may obtain, from a terminal, an item acquisition amount and an item click amount of each item in an item group in a preset historical time period in a wired connection manner or a wireless connection manner, so as to obtain an item acquisition amount set and an item click amount set. The item acquisition amount refers to the circulation number of items (for example, the number of purchased items a is 10), and the item click amount refers to the number of items to be acquired (for example, the number of purchased items a in the shopping cart is 100).
As an example, the preset history time period may be "month 5 No. 1 to month 5 No. 3". The item acquisition amount of the a item, the B item, and the C item in the item group may be 15,20, and 10, respectively, during the preset history period. The resulting collection of item acquisition amounts is "15, 20, 10". The item click volume for the a item, the B item, and the C item in the group of items may be 50,60, and 45, respectively, over a preset historical period of time. The resulting set of item hits is "50, 60, 45".
Step 202, generating an item acquisition rate based on the item acquisition amount set and the item click amount set.
In some embodiments, the executing agent may generate the item acquisition rate by:
in a first step, the sum of the individual item acquisitions in the set of item acquisitions may be determined.
As an example, the above-mentioned item acquisition amount set may be "15, 20, 10". The sum of the individual article acquisition amounts in the above article acquisition amount set is "45". Here, "15" in the item acquisition amount set indicates that the acquisition amount of the a item is "15". Here, each item acquisition quantity in the item acquisition quantity set represents an acquisition quantity of a different item.
Second, the sum of the item click volumes in the item click volume set may be determined.
By way of example, the set of item click volumes may be "50, 60, 45". The sum of the individual item click volumes in the item click volume set is "155".
And thirdly, determining the ratio of the sum of the item acquisition quantities in the item acquisition quantity set to the sum of the item click quantities in the item click quantity set as an item acquisition rate. Here, the ratio retains two significant digits after the decimal point.
As an example, the execution body may determine that the sum of the individual item acquisition amounts in the item acquisition amount set is "45". The sum of the individual item click volumes in the item click volume set is "155". The ratio of the sum of the item acquisition quantities in the item acquisition quantity set to the sum of the item click quantities in the item click quantity set is "0.29". And taking the ratio as the article acquisition rate.
In some optional implementations of some embodiments, the executing entity may generate the item acquisition rate by:
the first step, sorting each article acquisition quantity in the article acquisition quantity set to obtain an article acquisition quantity sequence. Here, the sorting manner is not limited.
As an example, the above-mentioned item acquisition amount set may be "15, 20,10,15, 20". And sorting the item acquisition quantities in the item acquisition quantity set from large to small, wherein the obtained item acquisition quantity sequence is '20, 20,15,15, 10'.
And secondly, determining the ratio of each item acquisition quantity in the item acquisition quantity sequence to the item click quantity in the item click quantity corresponding to the item acquisition quantity to obtain a ratio sequence.
As an example, the above-mentioned item acquisition quantity sequence may be "20, 20,15,15, 10". The set of item hits may be "80, 60,50,45, 45". And determining the ratio of each item acquisition quantity in the item acquisition quantity sequence to the item click quantity in the item click quantity set corresponding to the item acquisition quantity, wherein the obtained ratio sequence is '0.25, 0.33,0.3,0.33 and 0.22'.
And thirdly, generating the article acquisition rate based on the ratio sequence.
In some optional implementations of some embodiments, the third step may include the following sub-steps:
in a first sub-step, the execution body may determine an average of respective ratios in the sequence of ratios.
As an example, the above ratio sequence may be "0.25, 0.33,0.3,0.33, 0.22". The average value of each ratio in the ratio sequence is:
Figure BDA0002635462160000071
the average of the obtained respective ratios was "0.286".
And a second substep of selecting a ratio meeting a preset condition from the ratio sequence as a target ratio to obtain a target ratio sequence. Here, the preset condition may be: the target ratio is not an outlier, which refers to the highest and/or lowest value of the target ratio in the sequence of target ratios.
As an example, the above ratio sequence may be "0.25, 0.33,0.3,0.33, 0.22". The preset condition may be "a ratio of 0.25 or more". And selecting the ratio meeting the preset condition from the ratio sequence as a target ratio to obtain the target ratio sequence of 0.25,0.33,0.3 and 0.33.
And a third substep of performing weighted average processing on the target ratio in the target ratio sequence to generate a target ratio after weighted average processing as a weighted average.
As an example, the target ratio sequence may be "0.25, 0.33,0.3, 0.33". Carrying out weighted average processing on the target ratio in the target ratio sequence to generate a weighted average target ratio which is used as a weighted average:
Figure BDA0002635462160000072
a fourth substep of generating a first ratio based on the average and the weighted average.
A fifth substep of determining the first ratio as the item acquisition rate.
As an example, the above average value may be "0.286". The above weighted average is "0.3". Averaging the two values to generate a first ratio:
Figure BDA0002635462160000081
and determining the first ratio as the article acquisition rate.
In some optional implementations of some embodiments, first, the executing body may obtain the ratio sequence by processing the item acquisition quantity sequence and the item click quantity sequence. And then, screening the ratio in the ratio sequence according to a preset condition. And the ratio values are screened through preset conditions, so that the interference of abnormal values is eliminated. The outlier may be an abnormal ratio due to abnormal shopping behavior caused by a particular holiday. The interference of the abnormal value is eliminated, so that the accuracy of the acquisition rate of the article can be improved, and a foundation is laid for subsequent sales prediction.
And 203, generating an item pre-estimation acquisition quantity set in a preset future time period based on the item acquisition quantity set, the item click quantity set and the item acquisition rate. Wherein the duration of the preset historical time period is equal to the duration of the preset future time period.
In some embodiments, the executing entity may generate the estimated acquisition amount of the article in the preset future time period by:
firstly, sorting the article acquisition quantities in the article acquisition quantity set from large to small according to numerical values to obtain an article acquisition quantity sequence.
As an example, the above-mentioned item acquisition amount set may be "15, 20,10,15, 20". And sequencing the item acquisition quantities in the item acquisition quantity set from large to small to obtain an item acquisition quantity sequence of 20,20,15,15 and 10.
And secondly, determining the average value of the obtained quantity of each article in the article obtaining quantity sequence.
As an example, the above-mentioned item acquisition quantity sequence may be "20, 20,15,15, 10". The average of the obtained amounts of each article in the above-mentioned article obtaining amount sequence is "16".
Thirdly, inputting the item acquisition quantity, the item click quantity in the item click quantity set corresponding to the item acquisition quantity, the item acquisition rate and the average value of each item acquisition quantity in the item acquisition quantity sequence into the following formula to generate an item estimated acquisition quantity in a preset future time period:
Q＝[N×θ+M-A]。
wherein Q represents the estimated acquisition amount of the article in the preset future time period. N represents an item click amount in the item click amount set corresponding to the item acquisition amount. θ represents the article acquisition rate. M represents the above article acquisition amount. A represents the average value of the obtained quantity of each article in the above-mentioned article obtaining quantity sequence. [] Indicating a rounding down operation.
As an example, the above-described article acquisition amount M may be "20". The item click rate N in the item click rate set corresponding to the item acquisition rate is "80". The article acquisition rate θ is "0.3". The average value a of the obtained amounts of the respective articles in the above-mentioned article obtaining amount series is "16". Inputting the numerical values into a formula to generate the estimated acquisition quantity of the articles in a preset future time period:
Q＝[80×0.293+20-16]＝27。
optionally, the set of estimated acquisition amounts of the articles in the preset future time period is sent to a display device with a display function for displaying. And controlling vehicle dispatching equipment in communication connection with the display equipment to dispatch the vehicle based on the item pre-estimation acquisition quantity set.
As an example, the estimated acquisition amount of any item "a" in the set of estimated acquisition amounts of items in the preset future time period may be "27". The information may be sent to display device B for display. And controlling vehicle dispatching equipment in communication connection with the display equipment to allocate the estimated acquisition quantity of the articles A transported by the vehicle.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: first, the item acquisition rate may be generated by processing the item acquisition amount set and the item click amount set. Then, the execution subject may generate an item pre-estimation acquisition amount set within a preset future time period based on the item acquisition amount set, the item click amount set, and the item acquisition rate. Optionally, the execution main body may obtain the ratio sequence by processing the item acquisition quantity sequence and the item click quantity sequence. And then, screening the ratio in the ratio sequence according to a preset condition. And the ratio values are screened through preset conditions, so that the interference of abnormal values is eliminated. Therefore, the accuracy of the acquisition rate of the articles can be improved, and a foundation is laid for subsequent sales prediction. And sequencing the article acquisition quantities in the article acquisition quantity set according to the numerical value from large to small to obtain an article acquisition quantity sequence. The average of the individual article acquisition quantities can be determined from the article acquisition quantity sequence. And predicting the item acquisition quantity according to the item acquisition quantity, the item click quantity in the item click quantity set corresponding to the item acquisition quantity, the item acquisition rate and the average value of the item acquisition quantities, and generating an item estimated acquisition quantity set in a preset future time period. Optionally, the set of estimated acquisition amounts of the articles is sent to a display device with a display function so as to be displayed. Optionally, the vehicle scheduling device in communication connection with the display device may be controlled to perform vehicle scheduling based on the set of estimated acquisition amounts of the articles. The vehicle scheduling can be carried out according to the estimated acquisition quantity of different articles, and suitable vehicles can be arranged. Therefore, the goods transportation system is beneficial to orderly transporting and planning the transportation route of the goods, reasonably planning the transportation route, saving the transportation time and improving the turnover rate of the goods.
With further reference to fig. 3, a flow 300 of further embodiments of an item information generation method according to the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The method for generating the article information comprises the following steps:
step 301, acquiring an item acquisition quantity and an item click quantity of each item in an item group in a preset historical time period to obtain an item acquisition quantity set and an item click quantity set.
Step 302, generating an item acquisition rate based on the item acquisition amount set and the item click amount set.
In some embodiments, the specific implementation manner and technical effects of the steps 301 and 302 can refer to the steps 201 and 202 in the embodiments corresponding to fig. 2, which are not described herein again.
Step 303, determining the sum of the individual item acquisition quantities in the item acquisition quantity set as an item acquisition total quantity.
In some embodiments, the execution body may determine a sum of each item acquisition quantity in the set of item acquisition quantities as an item acquisition total quantity.
As an example, the above-mentioned item acquisition amount set may be "15, 20,10,15, 20". The sum of the acquired amounts of each item in the above-mentioned item acquisition amount set is "80". The sum of the individual article acquisition amounts is taken as the article acquisition total amount.
And step 304, determining the sum of the item click volumes in the item click volume set as the item click total volume.
In some embodiments, the execution subject may determine a sum of the item click volumes in the item click volume set as an item click total.
As an example, the item click volume set may be "50, 60,45,45, 80". The sum of the individual item click volumes in the item click volume set is "280". And taking the sum of the click amounts of the various items as the total click amount of the items.
Step 305, determining the average value of the obtained quantity of each article in the article obtaining quantity sequence.
In some embodiments, the performing agent may determine a mean value of the individual item acquisitions in the sequence of item acquisitions.
As an example, the above-mentioned item acquisition quantity sequence may be "20, 20,15,15, 10". The average value of the obtained amounts of the respective articles in the above-mentioned article obtaining amount series is "16".
Step 306, determining the average value of the item click volumes in the item click volume sequence.
In some embodiments, the execution subject may determine a mean value of the item clicks in the item click sequence.
As an example, the item click volume sequence may be "80, 60,50,45, 45". The average value of the item click volumes in the item click volume sequence is "56".
Step 307, determining the quantity of the item acquisition quantity included in the item acquisition quantity set.
In some embodiments, the execution body may determine a quantity of the item acquisition quantity included in the set of item acquisition quantities.
As an example, the above-mentioned item acquisition amount set may be "15, 20,10,15, 20". The above-mentioned item acquisition amount set includes an item acquisition amount number of "5".
Step 308, performing data processing on each item acquisition quantity in the item acquisition quantity set, the item click quantity in the item click quantity set corresponding to the item acquisition quantity, and the item acquisition rate to generate an item estimated acquisition quantity in a preset future time period, so as to obtain an item estimated acquisition quantity set.
In some embodiments, the execution subject may input the item acquisition amount, the item click amounts in the item click amount set corresponding to the item acquisition amount, the item acquisition total amount, the item click total amount, the item acquisition rate, a mean value of each item acquisition amount in the item acquisition amount sequence, a mean value of each item click amount in the item click amount sequence, and the number of item acquisition amounts included in the item acquisition amount set to the following formula to generate the estimated item acquisition amount in the preset future time period:
Figure BDA0002635462160000111
wherein P represents the estimated acquisition of the item within the predetermined future time period. X represents the above article acquisition amount. Y represents the item click rate in the item click rate set corresponding to the item acquisition rate. t represents the number of item acquisition quantities included in the item acquisition quantity set. MiIndicating the item pickup volume for the ith item in the group. N is a radical ofiAnd indicating the item click rate of the ith item in the item group. g represents the total quantity of the above-mentioned articles obtained. G represents the item click total. A represents an average value of the respective article acquisition amounts in the above-described article acquisition amount sequence. B represents the average value of the item click volumes in the item click volume sequence. θ represents the article acquisition rate. []Indicating a rounding down operation.
As an example, the above-described article pickup amount X may be "15". The item click rate Y in the item click rate set corresponding to the item acquisition rate is "50". The number t of the item acquirement amounts included in the above item acquirement amount set may be "5". The above article pickup total g is "80". The above item click total G is "280". The article pickup rate θ is "0.293". The average value a of the obtained amounts of the respective articles in the above-mentioned article obtaining amount series is "16". The average value B of the item click rates in the item click rate sequence is "56". Inputting the numerical values into a formula to generate the estimated acquisition quantity of the articles in a preset future time period:
Figure BDA0002635462160000121
one of the above-described various embodiments of the present disclosure has the following advantageous effects: first, the item acquisition rate may be generated through processing of an item acquisition amount set and an item click amount set. The execution main body may obtain a ratio sequence by processing the item acquisition quantity sequence and the item click quantity sequence. And then, screening the ratio in the ratio sequence according to a preset condition. And the ratio values are screened through preset conditions, so that the interference of abnormal values is eliminated. Therefore, the accuracy of the acquisition rate of the articles can be improved, and a foundation is laid for subsequent sales prediction. And sequencing the article acquisition quantities in the article acquisition quantity set from large to small according to the numerical values to obtain an article acquisition quantity sequence. The average of the individual article acquisition quantities can be determined from the article acquisition quantity sequence. Thus, the item acquisition amount prediction is performed according to the item acquisition amount, the item click amount in the item click amount set corresponding to the item acquisition amount, the item acquisition rate, and the average value of the item acquisition amounts, and an item pre-estimation acquisition amount set is generated. Meanwhile, the execution main body can send the item pre-estimation acquisition amount set to a display device with a display function so as to display the item pre-estimation acquisition amount set. Therefore, the vehicle dispatching equipment in communication connection with the display equipment can be controlled to carry out vehicle dispatching based on the item pre-estimation acquisition quantity set. Therefore, the vehicle scheduling can be carried out according to the estimated acquisition quantity of different articles, and suitable vehicles can be arranged. Furthermore, the method is beneficial to orderly transporting and planning the transportation route of the articles, saves the transportation time by reasonably planning the transportation route, and is beneficial to improving the turnover rate of the articles. For example, through the estimated acquisition quantity of the articles, vehicles can be allocated and transportation routes can be arranged in advance, road congestion time periods are avoided, the transportation time of the articles is saved, and therefore the turnover efficiency of the articles is improved.
With further reference to fig. 4, as an implementation of the above method for the above figures, the present disclosure provides some embodiments of an article information generating method apparatus, which correspond to those of the above method embodiments of fig. 2, and which may be applied to various electronic devices.
As shown in fig. 4, the article information generating method apparatus 400 of some embodiments includes: an acquisition unit 401, a first generation unit 402, a second generation unit 403. The obtaining unit 401 is configured to obtain an item obtaining amount and an item click amount of each item in an item group in a preset historical time period, and obtain an item obtaining amount set and an item click amount set. A first generating unit 402 configured to generate an item acquisition rate based on the item acquisition amount set and the item click amount set. A second generating unit 403, configured to generate an item pre-estimation acquisition amount set in a preset future time period based on the item acquisition amount set, the item click amount set, and the item acquisition rate, where a duration of the preset historical time period is equal to a duration of the preset future time period.
It will be understood that the elements described in the apparatus 400 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.
Referring now to FIG. 5, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)500 suitable for use in implementing some embodiments of the present disclosure is shown. The server shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring the article acquisition quantity and the article click quantity of each article in the article group in a preset historical time period to obtain an article acquisition quantity set and an article click quantity set; generating an item acquisition rate based on the item acquisition amount set and the item click amount set; and generating an item pre-estimation acquisition quantity set in a preset future time period based on the item acquisition quantity set, the item click quantity set and the item acquisition rate, wherein the duration of the preset historical time period is equal to the duration of the preset future time period.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first generation unit, and a second generation unit. The names of these units do not in some cases constitute a limitation to the unit itself, and for example, the first generation unit may also be described as a "unit that generates an item acquisition rate based on the above-described item acquisition amount set and the above-described item click amount set".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims (8)

1. An item information generation method, comprising:
acquiring the article acquisition quantity and the article click quantity of each article in the article group in a preset historical time period to obtain an article acquisition quantity set and an article click quantity set;
generating an item acquisition rate based on the item acquisition amount set and the item click amount set;
and generating an item pre-estimation acquisition quantity set in a preset future time period based on the item acquisition quantity set, the item click quantity set and the item acquisition rate, wherein the duration of the preset historical time period is equal to the duration of the preset future time period.
2. The method of claim 1, wherein the method further comprises:
sending the item pre-estimation acquisition amount set to display equipment with a display function so as to display the item pre-estimation acquisition amount set;
and controlling vehicle scheduling equipment in communication connection with the display equipment to perform vehicle scheduling based on the item pre-estimation acquisition quantity set.
3. The method of claim 2, wherein generating an item acquisition rate based on the set of item acquisition quantities and the set of item click quantities comprises:
sequencing the article acquisition quantities in the article acquisition quantity set to obtain an article acquisition quantity sequence;
determining the ratio of each item acquisition quantity in the item acquisition quantity sequence to the item click quantity in the item click quantity set corresponding to the item acquisition quantity to obtain a ratio sequence;
and generating the item acquisition rate based on the ratio sequence.
4. The method of claim 3, wherein said generating the item acquisition rate based on the sequence of ratios comprises:
determining an average value of each ratio in the ratio sequence;
selecting a ratio meeting a preset condition from the ratio sequence as a target ratio to obtain a target ratio sequence;
carrying out weighted average processing on each target ratio in the target ratio sequence to generate a target ratio after weighted average processing, and taking the target ratio as a weighted average;
generating a first ratio based on the average and the weighted average;
determining the first ratio as the item acquisition rate.
5. The method according to one of claims 1 to 4, wherein the generating a set of item forecast acquisitions for a preset future time period based on the set of item acquisitions, the set of item clickthroughs, and the item acquisition rate comprises:
determining the sum of each item acquisition quantity in the item acquisition quantity set as an item acquisition total quantity;
determining the sum of the item click rates in the item click rate set as an item click total amount;
determining the average value of each article acquisition quantity in the article acquisition quantity sequence;
determining the average value of the click rates of all the items in the item click rate sequence;
determining the quantity of the item acquisition quantity included in the item acquisition quantity set;
and performing data processing on each item acquisition quantity in the item acquisition quantity set, the item click quantity in the item click quantity set corresponding to the item acquisition quantity and the item acquisition rate to generate an item estimated acquisition quantity in a preset future time period to obtain an item estimated acquisition quantity set.
6. An article information generating apparatus comprising:
the acquisition unit is configured to acquire an article acquisition amount and an article click amount of each article in an article group in a preset historical time period to obtain an article acquisition amount set and an article click amount set;
a first generation unit configured to generate an item acquisition rate based on the item acquisition amount set and the item click amount set;
a second generating unit configured to generate an item pre-estimate acquisition amount set within a preset future time period based on the item acquisition amount set, the item click amount set, and the item acquisition rate, wherein a duration of the preset historical time period is equal to a duration of the preset future time period.
7. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
8. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.
CN202010823910.5A 2020-08-17 2020-08-17 Article information generation method and device, electronic equipment and computer readable medium Pending CN111985967A (en)

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