CN112288521A

CN112288521A - Method, apparatus, electronic device and readable medium for adjusting property value of article

Info

Publication number: CN112288521A
Application number: CN202011172998.5A
Authority: CN
Inventors: 陈华良
Original assignee: Beijing Missfresh Ecommerce Co Ltd
Current assignee: Beijing Missfresh Ecommerce Co Ltd
Priority date: 2020-10-28
Filing date: 2020-10-28
Publication date: 2021-01-29

Abstract

Embodiments of the present disclosure disclose methods, apparatuses, electronic devices, and readable media for adjusting item attribute values. One embodiment of the method comprises: acquiring article attribute information, article circulation information and weather information of the region where the article is located; generating a first adjusting parameter based on the article circulation information; generating a second adjusting parameter based on the weather information; generating an article attribute value to be adjusted based on the article attribute information, the first adjustment parameter and the second adjustment parameter; and sending the article attribute value to be adjusted to a server side so that the server side can adjust the article attribute value. The embodiment improves the accuracy of displaying the article attribute value and reduces the occurrence of the condition of pressing the article bin caused by inaccurate display of the article attribute value.

Description

Method, apparatus, electronic device and readable medium for adjusting property value of article

Technical Field

Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to a method, an apparatus, an electronic device, and a readable medium for adjusting an item attribute value.

Background

In the e-commerce field, adjusting an item attribute value (e.g., unit price of an item) is a basic requirement for the circulation of items. Currently, the common method is mainly based on manual decision and assisted by article flow related data to adjust the article attribute value.

However, when the above-mentioned method is adopted to adjust the property value of the article, the following technical problems often exist:

firstly, the problem that the object attribute value obtained by adjustment is random and the object attribute value is not adjusted timely due to the fact that subjectivity of a person is relatively relied on is solved, and the problems that the object is pressed into a warehouse and displayed inaccurately often occur;

secondly, the quality guarantee period, the weather and other factors of the goods are not comprehensively considered, and the adjusted property value of the goods cannot meet the requirement of market change, so that the goods turnover rate is reduced, the goods are overstocked, and further, the problems of low utilization rate of storage space resources, spoilage of the goods and the like are caused.

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 propose methods, apparatuses, electronic devices and readable media for adjusting item attribute values to address one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a method for adjusting an item attribute value, the method comprising: acquiring article attribute information of an article, article circulation information and weather information of an area where the article is located, wherein the article attribute information comprises: an item attribute value; generating a first adjusting parameter based on the article circulation information; generating a second adjusting parameter based on the weather information; generating an article attribute value to be adjusted based on the article attribute information, the first adjustment parameter and the second adjustment parameter; and sending the article attribute value to be adjusted to a server side so that the server side can adjust the article attribute value.

In some embodiments, said generating a second adjustment parameter based on said rain amount value, said snow amount value, said wind force value, said first preset weight, said second preset weight, and said third preset weight comprises:

generating a second adjustment parameter based on the rain amount value, the snow amount value, the wind amount value, the first preset weight, the second preset weight and the third preset weight by the following formula:

W＝w₁×s+w₂×r+w₃×f，

wherein W represents the second tuning parameter; w is a₁Representing the first preset weight, wherein the value range is (0, 1); w is a₂Representing the second preset weight, wherein the value range is (0, 1); w is a₃Represents the third preset weight, and has a value range of (0,1) and w₁+w₂+w₃Equal to 1; s represents said snow magnitude; r represents the rain magnitude; f represents the wind force value.

In some embodiments, the item attribute information further comprises: the value of the goods is transferred to the value, the value of the goods is generated, the shelf life of the goods is prolonged, and the shelf life of the goods is prolonged; and

generating an article attribute value to be adjusted based on the article attribute information, the first adjustment parameter and the second adjustment parameter, including:

based on the article attribute information, the first adjusting parameter and the second adjusting parameter, generating an article attribute value to be adjusted by the following formula:

wherein T represents the attribute value of the article to be adjusted; g represents the value transfer value of the item; r represents the value-producing value of the item; b represents the shelf life of the article; x represents the item shelf life; y represents the first adjustment parameter; w represents the second adjustment parameter.

In a second aspect, some embodiments of the present disclosure provide an apparatus for adjusting an item attribute value, the apparatus comprising: an obtaining unit configured to obtain article attribute information of an article, article circulation information, and weather information of a region where the article is located, wherein the article attribute information includes: an item attribute value. And the first generation unit is configured to generate a first adjustment parameter based on the article circulation information. And a second generation unit configured to generate a second adjustment parameter based on the weather information. And a third generating unit configured to generate an item attribute value to be adjusted based on the item attribute information, the first adjustment parameter, and the second adjustment parameter. And the adjusting unit is configured to send the article attribute value to be adjusted to a server side so that the server side can adjust the article attribute value.

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 described in any of the implementations of the first aspect.

In a fourth aspect, some embodiments of the disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.

The above embodiments of the present disclosure have the following advantages: the method for adjusting the property value of the article can improve the accuracy of displaying the property value of the article to a certain extent and reduce the occurrence of the condition that the article is pressed due to the fact that the property value of the article is displayed and does not conform to the market. Specifically, the inventors found that the reason for the problems of frequent occurrence of the bin pressing and the display being inaccurate is that: the adjustment of the article attribute value is relatively dependent on the subjectivity of a person, so that the article attribute value obtained by adjustment has randomness and the article attribute value is not adjusted timely. Based on this, in the method for adjusting an article attribute value according to some embodiments of the present disclosure, first, article attribute information of an article, article circulation information, and weather information of a region where the article is located are obtained, where the article attribute information includes: an item attribute value. And providing data support for adjusting the attribute value of the article by acquiring article circulation information of the article and weather information of the region where the article is located. Next, a first adjustment parameter is generated based on the article circulation information. The first adjusting parameter generated through the article circulation information enables the article attribute value to be adjusted to be more fit with the actual article circulation requirement. Then, a second adjustment parameter is generated based on the weather information. And the second adjustment parameter generated by the weather information enables the influence of weather factors on the circulation of the articles to be considered when the attribute values of the articles are adjusted, so that the actual market change is met. And then, generating an article attribute value to be adjusted based on the article attribute information, the first adjustment parameter and the second adjustment parameter. The article attribute value is adjusted through the first adjusting parameter and the first adjusting parameter, and the generated article attribute value to be adjusted can be more suitable for the requirement of actual article circulation and the change condition of an actual market. And finally, sending the article attribute value to be adjusted to a server side for the server side to adjust the article attribute value. The parameters to be adjusted are generated by considering the article circulation information and the weather factors, so that the requirements of the actual market are met. Therefore, the problem that the adjusted object attribute value has randomness due to subjectivity of manually adjusting the object attribute value is solved. Therefore, the realization mode can improve the accuracy of displaying the article attribute value to a certain extent and reduce the occurrence of the condition of pressing the article bin caused by the fact that the article attribute value display does not accord with the market.

Drawings

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 an application scenario of a method for adjusting an item attribute value according to some embodiments of the present disclosure;

FIG. 2 is a flow diagram of some embodiments of a method for adjusting an item attribute value according to the present disclosure;

FIG. 3 is a flow diagram of further embodiments of a method for adjusting an item attribute value according to the present disclosure;

FIG. 4 is a schematic block diagram of some embodiments of an apparatus for adjusting an item attribute value 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.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

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 one application scenario of a method for adjusting an item attribute value of some embodiments of the present disclosure.

In the application scenario of fig. 1, first, the computing device 101 may obtain item attribute information 102 of an item, item circulation information 103, and weather information 104 of a region where the item is located, where the item attribute information 102 includes: item attribute value 1021. Next, the computing device 101 may generate a first adjustment parameter 105 based on the item flow information 103. Thereafter, the computing device 101 may generate a second adjustment parameter 106 based on the weather information 104 described above. Then, the computing device 101 may generate an item attribute value 107 to be adjusted based on the item attribute information 102, the first adjustment parameter 105, and the second adjustment parameter 106. Finally, the computing device 101 may send the item attribute value 107 to be adjusted to the server 108, so that the server 108 can adjust the item attribute value 1021.

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 a method for adjusting item attribute values in accordance with the present disclosure is illustrated. The method for adjusting the value of the property of the article comprises the following steps:

step 201, acquiring article attribute information, article circulation information and weather information of an area where the article is located.

In some embodiments, an executing entity (e.g., the computing device 101 shown in fig. 1) of the method for adjusting the property value of the article may obtain the article property information, the article circulation information and the weather information of the area where the article is located, by means of wired connection or wireless connection. Wherein the article attribute information may include: item attribute values (e.g., item unit price).

As an example, the item attribute value may be: 100 yuan. The article circulation information of the article may be article history circulation information within 24 hours before the article circulation information is acquired. The weather information of the area where the article is located may be comprehensive weather information within 24 hours of the area where the article is located on the day when the article information is acquired. For example, the weather of the day may be: [ clear to heavy rain, east wind 3 grade ]. Then, the general weather information of the current day in the area where the article is located may be: [ heavy rain, grade 3 wind ].

Step 202, generating a first adjusting parameter based on the article circulation information.

In some embodiments, the execution subject may generate the first adjustment parameter in various ways based on the item circulation information (e.g., item sales volume).

In some optional implementation manners of some embodiments, the executing body generates a first adjusting parameter based on the article circulation information, where the article circulation information may include: item information view number (e.g., item click number), item traffic amount (e.g., item sales amount), item information record number (e.g., item collection number), may include the steps of:

in the first step, the ratio of the article flow amount and the article information viewing times is determined as an article value transfer rate (for example, an article ordering rate).

As an example, the above-mentioned commodity circulation amount may be: 100 pieces. The number of times of checking the article information may be: 1000 times. The ratio of the article traffic volume to the article information viewing times may be: 0.1. then, the above item value transfer rate may be: 10 percent.

And secondly, determining the ratio of the item information recording times to the item information checking times as an item information recording rate (such as an item collection rate).

As an example, the article information recording times may be: 300 times. The number of times of checking the article information may be: 1000 times. The ratio of the article information recording times to the article information viewing times may be: 0.3. then, the item information recording rate may be: 30 percent.

And thirdly, generating a first adjusting parameter based on the article value transfer rate and the article information recording rate.

In some optional implementations of some embodiments, the executing body generating a first adjustment parameter based on the item value transfer rate and the item information recording rate may include:

first, the difference between the item value transfer rate and the item information recording rate is determined.

As an example, the item value transfer rate may be: 10 percent. The article information recording rate may be: 30 percent. The difference may be the item information recording rate minus the item value transfer rate, and then the difference may be: 20 percent.

And a second step of generating a first adjustment parameter in response to determining that the difference and the item value transfer rate satisfy a predetermined condition.

As an example, the above difference may be: 20 percent. The value transfer rate of the article may be: 10 percent. The above-mentioned predetermined condition may be that the difference is a positive number and not less than 10%, and the article value transfer rate is not less than 10%. It may be determined that the difference and the value transfer rate satisfy the predetermined condition. Then, the first adjustment parameter may be: dividing the difference by 100% to obtain a first adjustment parameter: 0.2. in addition, the first adjustment parameter may be set to 0 when the difference and the article value transfer rate do not satisfy the predetermined condition.

And step 203, generating a second adjusting parameter based on the weather information.

In some embodiments, the execution subject may generate the second adjustment parameter in various ways by using the weather information of the day when the article attribute information is received.

In some optional implementation manners of some embodiments, the execution main body generates a second adjustment parameter based on weather information, where the weather information includes: the snowfall, the rainfall and the wind speed grade can comprise the following steps:

in a first step, a rainfall value is determined in response to the rainfall being greater than a predetermined rainfall threshold.

As an example, the above-described rainfall amount may be: 30 mm. The predetermined rainfall threshold may be 25 mm. It may be determined that the amount of rainfall is greater than a predetermined rainfall threshold. Then, the rainfall value may be: 1. in addition, when it is determined that the rainfall is equal to or less than the rainfall threshold, the rainfall value may be: 0.

and secondly, determining the snow quantity value in response to the fact that the snow quantity is larger than a preset snow quantity threshold value.

As an example, the above-described snowfall amount may be: 1 mm. The predetermined snowfall threshold may be: 5 mm. It may be determined that the amount of snowfall is less than a predetermined threshold. The snow volume value may then be: 0. in addition, when it is determined that the above-described snowfall amount is greater than the predetermined snowfall amount threshold value, the snow amount value may be: 1.

and thirdly, responding to the wind speed grade larger than a preset wind speed grade threshold value, and determining a wind force value.

As an example, the above wind speed levels may be: 6. the predetermined wind speed threshold may be: 7. therefore, the wind speed level is less than the predetermined wind speed threshold. Then, the wind force value may be: 0. additionally, when the wind speed level is greater than the predetermined wind speed threshold, the wind value may be: 1.

in another optional implementation manner of some embodiments, the executing entity generates the second adjustment parameter based on the weather information, and may include the following steps:

generating a second adjustment parameter based on the rain value, the snow value, and the wind value by:

W＝w×(s+r+f)。

wherein W represents the second adjustment parameter. w represents the weight of the preset parameter, and the value range is [0,1 ]. S represents the snow quantity value. r represents the rain amount value. f represents the above-mentioned wind force value.

As an example, the snow amount value may be: 1. the rain amount value may be: 0. the above-mentioned wind force value may be: 1. the preset weight may be: 0.5. then, the second adjustment parameter may be: 1.

and 204, generating an article attribute value to be adjusted based on the article attribute information, the first adjustment parameter and the second adjustment parameter.

In some embodiments, the execution subject may analyze the article attribute information, the first adjustment parameter, and the second adjustment parameter to generate an article attribute value to be adjusted. The analysis process may be to add the first adjustment parameter and the second adjustment parameter and multiply the product attribute value.

In some optional implementation manners of some embodiments, the executing body generates an item attribute value to be adjusted based on item attribute information, a first adjustment parameter, and a second adjustment parameter, where the item attribute information may further include: the article value transfer value, the article value generation value, the article newspaper, the article shelf life time, may include the steps of:

and a first step of generating a third adjusting parameter based on the shelf life of the article and the shelf loading time of the article.

And secondly, determining the sum of the first adjusting parameter, the second adjusting parameter and the third adjusting parameter as a first summation value.

And thirdly, generating a variable to be adjusted based on the item value transfer value, the item value generation value and the first summation value.

And fourthly, determining the sum of the value transfer value of the article and the variable to be adjusted as the attribute value of the article to be adjusted.

As an example, the executing agent may generate the property value of the article to be adjusted by the following formula:

wherein T represents the above-mentioned article attribute value to be adjusted. G represents the value transfer value of the above-mentioned article. R represents the above-mentioned commodity value generation value. b represents the shelf life of the above-mentioned article. x represents the shelf life of the article. Y represents the first adjustment parameter. W represents the second adjustment parameter.

As an example, the above item value transfer value may be: 100 yuan. The value transfer generating value of the article may be: 20 yuan. The shelf life of the above-mentioned articles may be: for 240 hours. The length of the article on shelf may be: for 100 hours. The first adjustment parameter may be: 0.2. the second adjustment parameter may be: 1. then, by the above formula, the property value of the article to be adjusted may be: 105.02 yuan (calculation procedure is as follows, two decimal places are reserved for calculation result):

step 205, sending the article attribute value to be adjusted to the server for the server to adjust the article attribute value.

In some embodiments, the executing entity may send the article attribute value to be adjusted to a server, so that the server adjusts the article attribute value.

With further reference to fig. 3, a flow 300 of further embodiments of methods for adjusting item attribute values is illustrated. The process 300 of the method for adjusting the value of an item attribute includes the steps of:

step 301, acquiring article attribute information, article circulation information and weather information of an area where the article is located.

Step 302, generating a first adjusting parameter based on the article circulation information.

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, using a preset weight corresponding to the rain amount value as a first preset weight.

In some embodiments, the executive body may use a preset weight corresponding to the rainfall value as a first preset weight.

As an example, the value range of the first preset weight may be: (0,1). The first preset weight may be: 0.4.

and step 304, taking the preset weight corresponding to the snow quantity value as a second preset weight.

In some embodiments, the executing entity may use a preset weight corresponding to the snow amount value as a second preset weight.

As an example, the value range of the second preset weight may be: (0,1). The second preset weight may be: 0.4.

and 305, taking the preset weight corresponding to the wind force value as a third preset weight.

In some embodiments, the execution subject may use a preset weight corresponding to the wind force value as a third preset weight.

As an example, the value range of the third preset weight may be: (0,1). The third preset weight may be: 0.2.

step 306, generating a second adjustment parameter based on the rain value, the snow value, the wind value, the first preset weight, the second preset weight and the third preset weight.

In some embodiments, the execution subject may generate a second adjustment parameter based on the rain value, the snow value, the wind value, the first preset weight, the second preset weight and the third preset weight by the following formula:

W＝w₁×s+w₂×r+w₃×f。

wherein W represents the second adjustment parameter. w is a₁Representing the first predetermined weight. The value range is (0, 1). w is a₂And the second preset weight is represented, and the value range is (0, 1). w is a₃The third preset weight is represented, and the value range is (0,1)) And w₁+w₂+w₃Equal to 1. S represents the snow quantity value. r represents the rain amount value. f represents the above-mentioned wind force value.

As an example, the first preset weight may be: 0.4. the second preset weight may be: 0.4. the third preset weight may be: 0.2. the snow quantity value may be: 1. the rain amount value may be: 0. the above-mentioned wind force value may be: 1. then, the second adjustment parameter may be: 0.60 (calculation procedure is as follows, two decimal places are reserved in the calculation result).

0.60＝0.4×1+0.4×0+0.2×1。

And 307, generating an article attribute value to be adjusted based on the article attribute information, the first adjustment parameter and the second adjustment parameter.

In some embodiments, the execution subject may be based on the article attribute information, the first adjustment parameter, and the second adjustment parameter, wherein the article attribute information includes: the value of the article is transferred to a value, the value of the article is generated to a value, the shelf life of the article and the shelf loading time of the article are generated to an attribute value of the article to be adjusted through the following formula:

As an example, the above item value transfer value may be: 100 yuan. The value transfer generating value of the article may be: 20 yuan. The shelf life of the above-mentioned articles may be: for 240 hours. The length of the article on shelf may be: for 100 hours. Further, if the adjustment of the article attribute value is too frequent, customer dissatisfaction is likely to occur, so the adjustment of the article attribute value may be set to once a day. The first adjustment parameter may be: 0.20. the second adjustment parameter may be: 0.60. then, by the above formula, the property value of the article to be adjusted may be: 108.58 yuan (calculation process is as follows, two decimal places are reserved for the calculation result).

The two formulas are used as an invention point of the embodiment of the disclosure, and the problems that the adjusted property value of the article cannot meet the requirement of market change due to the fact that the factors such as the shelf life of the article, weather and the like are not comprehensively considered in the technical problem II mentioned in the background art are solved, so that the article circulation rate is reduced, the article is overstocked, the utilization rate of storage space resources is low, and the article is deteriorated and the like. ". The factors that cause the problems of low utilization rate of storage space resources, frequent putrefaction and deterioration of articles and the like are as follows: in the prior art, the adjustment of the article attribute value is usually carried out mainly by manual decision, and the factors such as the shelf life of the article, weather and the like are not comprehensively considered, so that the adjusted article attribute value cannot meet the requirement of market change, the article turnover rate is reduced, and the article is overstocked. If the factors are solved, the problems of low utilization rate of storage space resources, frequent deterioration of articles and the like can be solved better. In order to achieve the effect, firstly, the first formula introduces the weather information corresponding to the region where the article is located, and the influence of the weather information on the article traffic volume is considered, and corresponding weights are determined for different weather conditions, so that the generated second adjustment parameter has the effect of following the change of the article attribute value caused by the actual weather change. Then, the second formula introduces the shelf life and shelf loading time of the article, and considers the change of the article attribute value in the shelf life, and then the second formula also introduces article circulation information, and determines a first adjusting parameter by using the article circulation information, so that the change of the article circulation quantity is well represented. Therefore, under the condition of considering the multiple factors, the changed property value of the article can meet the change requirement of the actual market, and the actual change condition is met. Furthermore, the flow rate of the articles is improved to a certain extent, and the overstock of the articles is reduced. Finally, the problems of low utilization rate of storage space resources, putrefaction and deterioration of articles and the like are reduced.

And 308, sending the article attribute value to be adjusted to the server side so that the server side can adjust the article attribute value.

The above embodiments of the present disclosure have the following advantages: firstly, the weather information corresponding to the area where the article is located is introduced, and different weights are set for different weather information. Due to extreme weather, the article flow quantity is increased rapidly, so that the article distribution time is too long, and the shelf life of the article is influenced to lose user resources. Therefore, the introduced weather is subjected to weighted summation to obtain a second adjustment parameter, and the article attribute value is adjusted by using the second adjustment parameter, so that the final adjustment result of the article attribute value has the effect of changing the article attribute value along with the actual weather change. Then, the change of the property value of the article in the shelf life is considered in the present disclosure, because in practical situations, the longer the shelf life is, the lower the unit price of the article needs to be, so as to ensure the sales volume and profit of the article. Therefore, the shelf life and shelf loading time of the articles are introduced, so that the adjusted article attribute value can ensure the sales volume and profit of the articles. Thereafter, the present disclosure also introduces item circulation information. When the article collection amount is too large and the article sales amount is not large, the article circulation information includes a large factor due to the fact that the price of the article is too high. Therefore, the first adjusting parameter is determined by using the article circulation information, so that the change of the article circulation amount is well represented. Thereby improving the article flow rate. Then, the influence of the adjustment of the article attribute value on the profit of the article is considered, and the profit of the article is lower as the adjusted article attribute value is lower, and the adjusted article attribute value cannot be lower than the principal fund of the article, so the article value generation value and the article value transfer value are introduced into the method. So that the adjustment of the defined item attribute value can improve the profit of the item while ensuring the sales volume of the item. The article attribute value is adjusted through comprehensive consideration of weather information and article circulation information during article circulation, so that the adjusted article attribute value accords with the actual market change condition. Thereby, the turnover rate of the articles is improved, and the overstock of the articles is reduced. Furthermore, the problems of low utilization rate of storage space resources, putrefaction and deterioration of articles and the like are reduced.

With further reference to fig. 4, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of a method for adjusting an item attribute value, which correspond to those illustrated in fig. 2, and which are particularly applicable in various electronic devices.

As shown in fig. 4, the inventory-related information display device 400 of some embodiments includes: acquisition section 401, first generation section 402, second generation section 403, third generation section 404, and adjustment section 405. The obtaining unit 401 is configured to obtain article attribute information of an article, article circulation information, and weather information of a region where the article is located, where the article attribute information includes: an item attribute value. The first generating unit 402 is configured to generate a first adjustment parameter based on the article circulation information. A second generating unit 403 configured to generate a second adjustment parameter based on the weather information. A third generating unit 404 configured to generate an item attribute value to be adjusted based on the item attribute information, the first adjustment parameter, and the second adjustment parameter. The adjusting unit 405 is configured to send the article attribute value to be adjusted to a server, so that the server adjusts the article attribute value.

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 electronic device 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 article attribute information of an article, article circulation information and weather information of an area where the article is located, wherein the article attribute information comprises: an item attribute value; generating a first adjusting parameter based on the article circulation information; generating a second adjusting parameter based on the weather information; generating an article attribute value to be adjusted based on the article attribute information, the first adjustment parameter and the second adjustment parameter; and sending the article attribute value to be adjusted to a server side so that the server side can adjust the article attribute value.

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, a second generation unit, a third generation unit, and an adjustment unit. The names of the units do not form a limitation to the unit itself in some cases, and for example, the acquiring unit may be further described as a "unit that acquires article attribute information of an article, article circulation information, and weather information of an area where the article is located".

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

1. A method for adjusting an item attribute value, comprising:

acquiring article attribute information, article circulation information and weather information of an area where the article is located, wherein the article attribute information comprises: an item attribute value;

generating a first adjusting parameter based on the article circulation information;

generating a second adjustment parameter based on the weather information;

generating an article attribute value to be adjusted based on the article attribute information, the first adjustment parameter and the second adjustment parameter;

and sending the article attribute value to be adjusted to a server side so that the server side can adjust the article attribute value.

2. The method of claim 1, wherein the item circulation information comprises: checking times of article information, article traffic volume and recording times of article information; and

generating a first adjustment parameter based on the article circulation information, including:

determining the ratio of the article flow quantity to the article information viewing times as an article value transfer rate;

determining the ratio of the article information recording times to the article information checking times as an article information recording rate;

generating a first adjustment parameter based on the item value transfer rate and the item information recording rate.

3. The method of claim 2, wherein said generating a first adjustment parameter based on said item value transfer rate and said item information recording rate comprises:

determining a difference between the item value transfer rate and the item information recording rate;

in response to determining that the difference and the item value transfer rate satisfy a predetermined condition, generating a first adjustment parameter.

4. The method of claim 1, wherein the weather information comprises: rainfall, snowfall, wind speed grade; and

generating a second adjustment parameter based on the weather information, including:

in response to the rainfall being greater than a predetermined rainfall threshold, determining a rainfall value;

determining a snow magnitude value in response to the amount of snow falling being greater than a predetermined snow fall threshold value;

in response to the wind speed level being greater than a predetermined wind speed level threshold, a wind force value is determined.

5. The method of claim 4, wherein the method further comprises:

generating a second adjustment parameter based on the rain value, the snow value, and the wind value.

6. The method of claim 5, wherein generating a second adjustment parameter based on the rain amount value, the snow amount value, and the wind force value comprises:

taking a preset weight corresponding to the rainfall value as a first preset weight;

taking the preset weight corresponding to the snow quantity value as a second preset weight;

taking the preset weight corresponding to the wind force value as a third preset weight;

and generating a second adjusting parameter based on the rain amount value, the snow amount value, the wind force value, the first preset weight, the second preset weight and the third preset weight.

7. The method of claim 1, wherein the item attribute information further comprises: the value of the goods is transferred to the value, the value of the goods is generated, the shelf life of the goods is prolonged, and the shelf life of the goods is prolonged; and

generating a third adjustment parameter based on the shelf life of the article and the shelf life of the article;

determining a sum of the first adjustment parameter, the second adjustment parameter, and a third adjustment parameter as a first summation value;

generating a variable to be adjusted based on the item value transfer value, the item value generation value and the first summation value;

and determining the sum of the value transfer value of the article and the variable to be adjusted as the attribute value of the article to be adjusted.

8. An apparatus for adjusting an item attribute value, comprising:

an obtaining unit configured to obtain article attribute information of an article, article circulation information, and weather information of a region where the article is located, wherein the article attribute information includes: an item attribute value;

a first generation unit configured to generate a first adjustment parameter based on the article circulation information;

a second generation unit configured to generate a second adjustment parameter based on the weather information;

a third generating unit configured to generate an item attribute value to be adjusted based on the item attribute information, the first adjustment parameter, and the second adjustment parameter;

and the adjusting unit is configured to send the article attribute value to be adjusted to a server side so that the server side can adjust the article attribute value.

9. 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 1-7.

10. 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 1-7.