CN113762876A

CN113762876A - Information generation method and device, electronic equipment and computer readable medium

Info

Publication number: CN113762876A
Application number: CN202110312575.7A
Authority: CN
Inventors: 胡亚亭
Original assignee: Beijing Jingdong Tuoxian Technology Co Ltd
Current assignee: Beijing Jingdong Tuoxian Technology Co Ltd
Priority date: 2021-03-24
Filing date: 2021-03-24
Publication date: 2021-12-07

Abstract

The embodiment of the disclosure discloses an information generation method, an information generation device, electronic equipment and a computer readable medium. One embodiment of the method comprises: selecting supply information matched with the purchase information from at least one piece of supply information as matching information to obtain a matching information group, wherein the supply information in the at least one piece of supply information is obtained by updating the initial supply information; determining a supply score value of the corresponding factor for each matching information in the matching information group based on the purchase information to obtain a supply score value set; and selecting a target number of matching information from the matching information group as a corresponding matching information group of the purchasing information according to the sequence of the supply score values from large to small on the basis of the purchasing amount included in the purchasing information. The embodiment improves the processing efficiency of the relevant data generated when the commodities are purchased.

Description

Information generation method and device, electronic equipment and computer readable medium

Technical Field

Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to an information generation method, an information generation device, an electronic device, and a computer-readable medium.

Background

Currently, when a wholesale purchase of an article is performed, the supply price of a supplier may slightly differ depending on local policy, purchase amount of the buyer, and the like. Therefore, the purchasing party often needs to spend a lot of resources such as manpower and material resources to screen at least one qualified supplier from the plurality of suppliers. Currently, suppliers often directly add item information of supplied items to a wholesale purchasing platform so that a purchasing party selects a proper supplier to perform a first price operation (e.g., purchase) on a target item.

However, for the purchasing party to select the appropriate supplier through the wholesale purchasing platform, the following technical problems often exist:

the buyer often needs to recruit a large number of buyers to send inquiry information to a large number of suppliers and receive supply information (such as supply varieties, supply prices, supply areas, etc.) of each supplier, and each supplier usually needs to manually process the inquiry information from the buyer, thereby reducing the information processing efficiency in the wholesale purchase platform.

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 an information generation method, apparatus, electronic device, and computer readable medium to solve one of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide an information generating method, including: selecting supply information matched with the purchase information from at least one piece of supply information as matching information to obtain a matching information group, wherein the supply information in the at least one piece of supply information is obtained by updating the initial supply information; determining a supply score value of a corresponding factor for each matching information in the matching information group based on the purchase information to obtain a supply score value set; and selecting a target number of matching information from the matching information groups as corresponding matching information groups of the purchasing information according to the sequence of the supply score values from large to small on the basis of the purchasing amount included in the purchasing information.

Optionally, before the selecting the supply information matched with the purchase information from the at least one supply information as the matching information, the method further includes: responding to the received purchasing party authentication information, and acquiring purchasing information corresponding to the purchasing party authentication information; and acquiring initial provisioning information corresponding to each provider authentication information in the at least one provider authentication information in response to receiving the at least one provider authentication information.

Optionally, the purchase information includes at least one of: the name of the purchased article and article purchasing information corresponding to the name of the purchased article; and the above-mentioned at least one offer information of choosing and purchasing the matched supply information as the matching information, including: and selecting the supply information meeting the preset condition from the at least one supply information as matching information according to the name of the purchased article and/or the article purchase information corresponding to the name of the purchased article.

Optionally, the factor comprises at least one of: price factor, purchase cost factor; and determining a supply score value of the corresponding factor for each matching information in the matching information group based on the procurement information to obtain a supply score value set, including: determining a price score value of a price factor corresponding to the matching information and a purchasing cost score value of a corresponding purchasing cost factor for each matching information in the matching information group based on purchasing information to obtain a price score value group and a purchasing cost score value group; and performing weighted summation processing on each purchasing cost score value in the purchasing cost score value group and the price score value corresponding to the purchasing cost score value to generate a supply score value, so as to obtain the supply score value set.

Optionally, the matching information in the matching information group includes: a supply price; and the determining, based on the procurement information, a price score value of a price factor corresponding to the matching information and a procurement cost score value of a corresponding procurement cost factor for each matching information in the matching information group to obtain a price score value group and a procurement cost score value group, includes: sorting the supply price groups to generate a supply price sequence; for each supply price in the supply price sequence, in response to determining that the difference magnitude between the supply price and an adjacent supply price corresponding to the supply price is greater than or equal to a preset threshold value, subtracting a first preset score from the price score of the adjacent supply price to obtain a value of the supply price, wherein the price score of the target supply price in the supply price sequence is the first preset score; and for each supply price in the supply price sequence, in response to determining that the difference magnitude between the supply price and the adjacent supply price corresponding to the supply price is smaller than the preset threshold value, subtracting a second preset value from the price score value of the adjacent supply price to obtain the price score value of the supply price.

Optionally, the purchase cost score in the purchase cost score group includes: a first procurement cost score value; and the determining, for each matching information in the matching information set, a price score value of a price factor corresponding to the matching information and a purchasing cost score value of a corresponding purchasing cost factor based on the purchasing information, to obtain a price score value set and a purchasing cost score value set, further comprising: for each offer price in the offer price sequence, determining the offer price as a first tier price in response to determining that the offer price is less than a purchase price included in the purchase information; in response to determining that the difference between the first-level price and the adjacent first-level price corresponding to the first-level price is greater than or equal to the preset threshold, taking a value obtained by subtracting the first preset score from the first procurement cost score of the adjacent first-level price as the first procurement cost score of the first-level price, wherein the first procurement cost score of the target first-level price in the determined first-level price sequence is the first preset score; and in response to determining that the difference magnitude between the first-level price and the adjacent first-level price corresponding to the first-level price is smaller than the preset threshold value, subtracting the second preset value from the first purchasing cost score value of the adjacent first-level price to obtain a value of the first purchasing cost score value of the first-level price.

Optionally, the purchasing cost score value in the above set of purchasing cost score values further includes: a second procurement cost score value; and the determining, for each matching information in the matching information set, a price score value of a price factor corresponding to the matching information and a purchasing cost score value of a corresponding purchasing cost factor based on the purchasing information, to obtain a price score value set and a purchasing cost score value set, further comprising: for each offer price in the offer price sequence, determining the offer price as a second tier price in response to determining that the offer price is equal to a purchase price included in the purchase information; and determining the second preset score value as a second purchasing cost score value of the second grade price.

Optionally, the purchasing cost score value in the above set of purchasing cost score values further includes: a third procurement cost score value; and the determining, for each matching information in the matching information set, a price score value of a price factor corresponding to the matching information and a purchasing cost score value of a corresponding purchasing cost factor based on the purchasing information, to obtain a price score value set and a purchasing cost score value set, further comprising: for each offer price in the offer price sequence, determining the offer price as a third level price in response to determining that the offer price is greater than a purchase price included in the purchase information; in response to determining that the magnitude of the difference between the third-level price and an adjacent third-level price corresponding to the third-level price is greater than or equal to the preset threshold, taking a value obtained by subtracting the first preset score from a third procurement cost score of the adjacent third-level price as a third procurement cost score of the third-level price, wherein the target third-level price in the determined third-level price sequence is the second preset score; and in response to determining that the difference magnitude between the third-level price and the adjacent third-level price corresponding to the third-level price is smaller than the preset threshold value, subtracting a second preset value from a third purchasing cost score value of the adjacent third-level price to obtain a value of the third purchasing cost score value of the third-level price.

In a second aspect, some embodiments of the present disclosure provide an information generating apparatus, the apparatus comprising: a first selection unit configured to select, from at least one piece of supply information, supply information that matches the purchase information as matching information to obtain a matching information group, wherein the supply information in the at least one piece of supply information is obtained by updating the initial supply information; a determining unit configured to determine a supply score value of the corresponding factor for each matching information in the matching information group based on the purchase information, resulting in a supply score value set; and a second selection unit configured to select, from the matching information groups, a target number of matching information as a corresponding matching information group of the purchase information in an order of a greater supply score value to a lesser supply score value based on the purchase amount included in the purchase information.

Optionally, the apparatus further comprises: responding to the received purchasing party authentication information, and acquiring purchasing information corresponding to the purchasing party authentication information; and acquiring initial provisioning information corresponding to each provider authentication information in the at least one provider authentication information in response to receiving the at least one provider authentication information.

Optionally, the purchase information includes at least one of: the name of the purchased article and article purchasing information corresponding to the name of the purchased article; and the first selection unit is configured to: and selecting the supply information meeting the preset condition from the at least one supply information as matching information according to the name of the purchased article and/or the article purchase information corresponding to the name of the purchased article.

Optionally, the factor comprises at least one of: price factor, purchase cost factor; and the determination unit is configured to: determining a price score value of a price factor corresponding to the matching information and a purchasing cost score value of a corresponding purchasing cost factor for each matching information in the matching information group based on purchasing information to obtain a price score value group and a purchasing cost score value group; and performing weighted summation processing on each purchasing cost score value in the purchasing cost score value group and the price score value corresponding to the purchasing cost score value to generate a supply score value, so as to obtain the supply score value set.

Optionally, the matching information in the matching information group includes: a supply price; and the determination unit is configured to: sorting the supply price groups to generate a supply price sequence; for each supply price in the supply price sequence, in response to determining that the difference magnitude between the supply price and an adjacent supply price corresponding to the supply price is greater than or equal to a preset threshold value, subtracting a first preset score from the price score of the adjacent supply price to obtain a value of the supply price, wherein the price score of the target supply price in the supply price sequence is the first preset score; and for each supply price in the supply price sequence, in response to determining that the difference magnitude between the supply price and the adjacent supply price corresponding to the supply price is smaller than the preset threshold value, subtracting a second preset value from the price score value of the adjacent supply price to obtain the price score value of the supply price.

Optionally, the purchase cost score in the purchase cost score group includes: a first procurement cost score value; and the determination unit is configured to: for each offer price in the offer price sequence, determining the offer price as a first tier price in response to determining that the offer price is less than a purchase price included in the purchase information; in response to determining that the difference between the first-level price and the adjacent first-level price corresponding to the first-level price is greater than or equal to the preset threshold, taking a value obtained by subtracting the first preset score from the first procurement cost score of the adjacent first-level price as the first procurement cost score of the first-level price, wherein the first procurement cost score of the target first-level price in the determined first-level price sequence is the first preset score; and in response to determining that the difference magnitude between the first-level price and the adjacent first-level price corresponding to the first-level price is smaller than the preset threshold value, subtracting the second preset value from the first purchasing cost score value of the adjacent first-level price to obtain a value of the first purchasing cost score value of the first-level price.

Optionally, the purchasing cost score value in the above set of purchasing cost score values further includes: a second procurement cost score value; and the determination unit is configured to: for each offer price in the offer price sequence, determining the offer price as a second tier price in response to determining that the offer price is equal to a purchase price included in the purchase information; and determining the second preset score value as a second purchasing cost score value of the second grade price.

Optionally, the purchasing cost score value in the above set of purchasing cost score values further includes: a third procurement cost score value; and the determination unit is configured to: for each offer price in the offer price sequence, determining the offer price as a third level price in response to determining that the offer price is greater than a purchase price included in the purchase information; in response to determining that the magnitude of the difference between the third-level price and an adjacent third-level price corresponding to the third-level price is greater than or equal to the preset threshold, taking a value obtained by subtracting the first preset score from a third procurement cost score of the adjacent third-level price as a third procurement cost score of the third-level price, wherein the target third-level price in the determined third-level price sequence is the second preset score; and in response to determining that the difference magnitude between the third-level price and the adjacent third-level price corresponding to the third-level price is smaller than the preset threshold value, subtracting a second preset value from a third purchasing cost score value of the adjacent third-level price to obtain a value of the third purchasing cost score value of the third-level price.

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 present 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 information generation method of some embodiments of the disclosure improves the processing efficiency of the relevant data generated when purchasing commodities. Specifically, the reason why the processing efficiency of the related data generated when purchasing commodities is low is that: the buyer often needs to recruit a large number of buyers to send inquiry to many suppliers and to collect supply information (supply varieties, supply prices, supply areas, etc.) of the supplier, and the supplier also needs to manually process a large amount of inquiry information from the buyer, thereby causing a problem of low efficiency in processing related data generated when purchasing commodities. Based on this, the information generating method of some embodiments of the present disclosure first selects, as matching information, provisioning information that matches the procurement information from at least one piece of provisioning information, resulting in a matching information group. At least one supplier information exists in the purchasing wholesale system, and at least one supplier can provide a plurality of different supply varieties, so that the calculation amount in the subsequent generation of the score value is reduced by screening out the supply varieties matched with the purchasing varieties. Secondly, based on the purchase information, determining a supply score value of a corresponding factor for each matching information in the matching information group to obtain a supply score value set. And according to at least one factor (such as a price factor, a purchasing cost optimization factor or a supply quantity factor) configured by the purchasing wholesale system, calculating a factor score value of the screened information, and providing data support for a corresponding matching information group of the subsequently selected purchasing information. And finally, selecting a target number of matching information from the matching information groups as corresponding matching information groups of the purchasing information according to the sequence of the supply score values from large to small on the basis of the purchasing amount included in the purchasing information. According to the quantity of the purchased goods, the supply information with larger supply score value is selected to meet the purchasing task formulated by the purchasing party, and further the processing efficiency of the related data generated when the goods are purchased is improved.

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 elements are not necessarily drawn to scale.

FIG. 1 is a schematic diagram of an application scenario of an information generation method according to some embodiments of the present disclosure;

FIG. 2 is a flow diagram of some embodiments of an information generation method according to the present disclosure;

FIG. 3 is a flow diagram of further embodiments of an information generation method according to the present disclosure;

FIG. 4 is a schematic illustration of a table of matching information in further embodiments of an information generation method according to the present disclosure;

FIG. 5 is a schematic block diagram of some embodiments of an information generating apparatus according to the present disclosure;

FIG. 6 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 an application scenario of an information generation method of some embodiments of the present disclosure.

In the application scenario of fig. 1, first, the computing device 101 may select, as matching information, provisioning information that matches the received procurement information 103 (e.g., "procurement variety: strawberry, procurement amount: 800 jin, last procurement price: 16 yuan/jin") from at least one piece of provisioning information 102 (e.g., "supplier identification information: a, supply variety: strawberry, supply price: 13 yuan/jin, supply amount: 500 jin), [ supplier identification information: B, supply variety: grape, supply price: 9 yuan/jin, supply amount: 200 jin, [ supplier identification information: C, supply variety: strawberry, supply price: 14 yuan/jin, supply amount: 300 jin), [ supplier identification information: D, supply variety: strawberry, supply price: 18 yuan/jin, supply amount: 100 jin"), a matching information group 104 is obtained (for example, "[ supplier identification information: A, [ supply variety: strawberry, [ supply price: 13 yuan/jin, supply amount: 500 jin ], [ supplier identification information: C, [ supply variety: strawberry, [ supply price: 14 yuan/jin, supply amount: 300 jin ], [ supplier identification information: D, [ supply variety: strawberry, [ supply price: 18 yuan/jin, supply amount: 100 jin ]"). Then, the computing device 101 may determine a supply score value for each matching information in the matching information group 104 based on the procurement information 103, resulting in a supply score value set 105 (e.g., "10 points, 9 points, 0 points"). Finally, the computing device 101 may select, based on the purchase amount included in the purchase information 103, a target number of pieces of matching information from the matching information group 104 as a corresponding matching information group 106 of the purchase information 103 in order of ascending the supply score value (e.g., "[ supplier identification information: a, supplier variety: strawberry, supply price: 13 yuan/jin, supply amount: 500 jin ], [ supplier identification information: C, supplier variety: strawberry, supply price: 14 yuan/jin, supply amount: 300 jin ]").

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 information generation method according to the present disclosure is shown. The information generation method comprises the following steps:

step 201, selecting the supply information matched with the purchase information from at least one supply information as matching information to obtain a matching information group.

In some embodiments, an executing entity of the information generating method (e.g., computing device 101 shown in fig. 1) may select, from the at least one piece of provisioning information, provisioning information that matches the procurement information as matching information, resulting in a matching information set. Wherein, the provisioning information in the at least one piece of provisioning information may include: supplier identification information, supply item and supply quantity. The supplier identification information may be used to characterize a unique identification of the supplier information. The supply item may be an item provided by a supplier corresponding to the supply identification information. The purchase information may include: purchase variety, purchase quantity and last purchase price. The execution body may select target offering information as matching information from the at least one item of offering information, wherein an offering item included in the target offering information is the same as a purchase item included in the purchase information. The provisioning information in the at least one provisioning information is obtained by updating the initial provisioning information. The initial provisioning information may be used to characterize provisioning information corresponding to a start time within a preset time period. The execution body can update the initial supply information by receiving the manually modified initial supply information. Thereby, the at least one provisioning information is generated. Wherein the supply item identifier included in the initial supply information is the same as the supply item identifier included in the supply information corresponding to the initial supply information.

As an example: the above-mentioned at least one piece of provisioning information may be [ [ provisioning party identification information: a, supply variety: strawberry, supply amount: 500 jin ], [ supplier identification information: b, supply variety: grape, supply amount: 200 jin ], [ supplier identification information: c, supply variety: strawberry, supply amount: 300 jin ], [ supplier identification information: d, supply variety: strawberry, supply amount: 100 jin ] ]. The purchase information may be [ purchase variety: strawberry, purchase amount: 800 jin, the last purchase price: 16 yuan/jin ]. The above-mentioned matching information group may be [ [ provider identification information: a, supply variety: strawberry, supply amount: 500 jin ], [ supplier identification information: c, supply variety: strawberry, supply amount: 300 jin ], [ supplier identification information: d, supply variety: strawberry, supply amount: 100 jin ] ].

Optionally, the purchase information may include, but is not limited to, at least one of the following: the name of the purchased article and the article purchasing information corresponding to the name of the purchased article. The item purchasing information corresponding to the above-mentioned purchased item name may include, but is not limited to, at least one of the following: purchase amount, last purchase price, expected arrival time.

Step 202, determining a supply score value of the corresponding factor for each matching information in the matching information group based on the procurement information, so as to obtain a supply score value set.

In some embodiments, the executing entity determines, for each matching information in the matching information group, a supply score value of a corresponding factor based on the procurement information, to obtain a supply score value set, where the factor corresponding to the matching information may be used to characterize whether each supplier information in the at least one supplier information meets an evaluation index of the procurement condition of the procurement party. The supply score value may be a numerical value corresponding to the evaluation index. May include the steps of:

the method includes a first step of determining the matching information as first-level matching information in response to determining that a supply price included in the matching information is less than a last purchase price included in the purchasing information, for each matching information in the matching information group.

As an example, the above-described matching information group may be [ [ provider identification information: a, supply variety: strawberry, supply price: 13 yuan/jin, supply: 500 jin ], [ supplier identification information: c, supply variety: strawberry, supply price: 14 yuan/jin, supply: 300 jin ], [ supplier identification information: d, supply variety: strawberry, supply price: 18 yuan/jin, supply: 100 jin ] ]. The last purchase price included in the purchase information may be "16 yuan/jin". The determined at least one first level matching information may be [ [ provider identification information: a, supply variety: strawberry, supply price: 13 yuan/jin, supply: 500 jin ], [ supplier identification information: c, supply variety: strawberry, supply price: 14 yuan/jin, supply: 300 jin ] ].

And secondly, sequencing the determined at least one first-level matching information according to the supply price from large to small to generate a first-level matching information sequence.

The first level matching information in the at least one first level matching information may include: serial number, supplier identification information, supply variety, supply price, and supply volume.

As an example, the first rank matching information sequence may be [ [ sequence number: supplier identification information: c, supply variety: strawberry, supply price: 14 yuan/jin, supply: 300 jin ], [ number: supplier identification information: a, supply variety: strawberry, supply price: 13 yuan/jin, supply: 500 jin ] ].

And thirdly, determining a sequence number value corresponding to a sequence number included in the first-level matching information as a supply score value of the first-level matching information for each first-level matching information in the first-level matching information sequence.

As an example, the determined supply score value of at least one of the above-described first-level matching information may be [1 point, 2 points ].

And fourthly, for each matching information in the matching information group, in response to the fact that the supply price included in the matching information is larger than or equal to the latest purchase price included in the purchasing information, determining the matching information as second-level matching information.

As an example, the above-described matching information group may be [ [ provider identification information: a, supply variety: strawberry, supply price: 13 yuan/jin, supply: 500 jin ], [ supplier identification information: c, supply variety: strawberry, supply price: 14 yuan/jin, supply: 300 jin ], [ supplier identification information: d, supply variety: strawberry, supply price: 18 yuan/jin, supply: 100 jin ] ]. The last purchase price included in the purchase information may be "16 yuan/jin". The above-mentioned second-level matching information may be [ supplier identification information: d, supply variety: strawberry, supply price: 18 yuan/jin, supply: 100 jin ] ].

And fifthly, determining a preset numerical value as a supply score value of each second-level matching information in the obtained at least one second-level matching information. As an example, the predetermined value may be a value of "0".

Optionally, the above factors may include, but are not limited to, at least one of: price factor, purchase cost factor. Wherein the price factors can be used to characterize the gap between supply prices. The above-described procurement cost factor can be used to characterize the gap between supply prices under the constraints of the procurement prices.

And step 203, selecting a target number of matching information from the matching information groups as corresponding matching information groups of the purchasing information according to the sequence of the supply score values from large to small on the basis of the purchasing amount included in the purchasing information.

In some embodiments, the selecting, by the executing entity, a target number of matching information from the matching information groups as corresponding matching information groups of the purchasing information in an order from a large value to a small value of the supply score based on the purchasing amount included in the purchasing information may include:

and step one, sequencing the matching information groups according to the sequence of the supply score values from large to small to generate a matching information sequence.

As an example, the above-described matching information group may be [ [ provider identification information: a, supply variety: strawberry, supply price: 13 yuan/jin, supply: 500 jin ], [ supplier identification information: c, supply variety: strawberry, supply price: 14 yuan/jin, supply: 300 jin ], [ supplier identification information: d, supply variety: strawberry, supply price: 18 yuan/jin, supply: 100 jin ] ]. The supplied score value group corresponding to the matching information group may be [2, 1, 0 ]. The above-mentioned matching information sequence may be [ [ supply score value: 2, supply identification information: a, supply variety: strawberry, supply price: 13 yuan/jin, supply: 500 jin ], [ supply score value: 1, supplier identification information: c, supply variety: strawberry, supply price: 14 yuan/jin, supply: 300 jin ], [ supply score value: 0, supplier identification information: d, supply variety: strawberry, supply price: 18 yuan/jin, supply: 100 jin ] ].

And secondly, accumulating the supply amount included by each matching information in the matching information sequence to generate an accumulated supply amount sequence.

The accumulation processing may be to add a supply amount included in each piece of matching information in the matching information sequence and a supply amount included in at least one piece of matching information before the supply amount included in the matching information to generate an accumulated supply amount, so as to obtain an accumulated supply amount sequence.

As an example, the above-described matching information sequence may be [ [ supply score value: 2, supplier identification information: a, supply variety: strawberry, supply price: 13 yuan/jin, supply: 500 jin ], [ supply score value: 1, supplier identification information: c, supply variety: strawberry, supply price: 14 yuan/jin, supply: 300 jin ], [ supply score value: 0, supplier identification information: d, supply variety: strawberry, supply price: 18 yuan/jin, supply: 100 jin ] ]. The accumulated supply sequence may be [500 jin, 800 jin, 900 jin ].

And thirdly, for each accumulated supply quantity in the accumulated supply quantity sequence, in response to determining that the accumulated supply quantity is greater than or equal to the purchase quantity included in the purchase information, determining at least one matching information corresponding to the accumulated supply quantity as a corresponding matching information group of the purchase information.

As an example, the purchase amount included in the purchase information may be "800 jin". The corresponding matching information group of the purchase information may be [ [ supply score value: 2, supplier identification information: a, supply variety: strawberry, supply price: 13 yuan/jin, supply: 500 jin ], [ supply score value: 1, supplier identification information: c, supply variety: strawberry, supply price: 14 yuan/jin, supply: 300 jin ] ].

With further reference to FIG. 3, a flow 300 of further embodiments of a data processing method is shown. The flow 300 of the data processing method includes the following steps:

step 301, in response to receiving the purchasing party authentication information, acquiring purchasing information corresponding to the purchasing party authentication information.

In some embodiments, the executing entity may obtain purchasing information corresponding to the purchasing party authentication information in response to receiving the purchasing party authentication information. The purchaser authentication information may be information for performing real-name authentication. The buyer authentication information may include, but is not limited to, at least one of the following: the name of the purchasing party, the registration number of the business license of the purchasing party, the contact way of the purchasing party and the name of the purchasing method person. The execution main body can acquire the purchasing information corresponding to the purchasing party authentication information in a wired connection mode or a wireless connection mode. The purchase information may include: the name of the purchasing party, the identification of the purchased variety, the name of the purchased article and the article purchasing information corresponding to the name of the purchased article. The item purchasing information corresponding to the above-mentioned purchased item name may include, but is not limited to, at least one of the following: purchase amount, last purchase price, expected arrival time. The purchased variety identifier may be a unique identifier corresponding to the purchased variety. The purchased variety identifier may be a UPC (Universal Product Code) Code. The executing agent may receive purchasing information identical to the name of the purchasing party.

As an example, the above-mentioned purchaser authentication information may be [ purchaser name: company a, purchaser license registration number: 37100 × 257X, procurement contact: 15648 x 89, procurement method name: somebody of king ]. The purchasing information corresponding to the acquired purchasing party authentication information may be [ purchasing party name: company a, procurement variety identification: 246545 × 1, the name of the purchased article: strawberry, purchase amount: 100 jin, last purchase price: 18 yuan/jin, expected arrival time: and 3 days ].

Step 302, in response to receiving at least one supplier authentication information, acquiring initial supply information corresponding to each supplier authentication information in the at least one supplier authentication information.

In some embodiments, the execution subject may obtain initial provisioning information corresponding to each of the at least one provisioning party authentication information in response to receiving the at least one provisioning party authentication information. The provider authentication information in the at least one provider authentication information may be information for performing real-name authentication. The provider authentication information of the at least one provider authentication information may include, but is not limited to, at least one of: the name of the supplier, the registration number of a business license of the supplier, the contact information of the supplier, the name of a supplier and the industry information of the supplier. The industry information to which the supplier belongs can be used for representing the industry to which the supplier belongs, and the industry information to which the supplier belongs can be agriculture. Or may be industrial. The execution main body may acquire initial provisioning information corresponding to each of the at least one supplier authentication information through a wired connection manner or a wireless connection manner. The supply item identifier may be a unique identifier corresponding to the supply item. The supply item identifier may be a UPC code. The execution body may receive the same provisioning information as the vendor name.

As an example, the above-mentioned at least one supplier authentication information may be [ [ supplier name: company a, supplier license registration number: 37100 × 12 × 2 × 7X, supplier connection: 15 × 5 × 89, supply method name: information of the industry to which the supplier belongs: agriculture ], [ supplier name: company b, supplier license registration number: 3710 × 412 × 2 × 7, supplier contact: 18 × 5 × 89, supply method name: lie somewhere, the industry information to which the supplier belongs: agriculture ]. The initial provisioning information corresponding to each of the at least one provisioning party authentication information may be [ provisioning party name: company a, supply item identification: 246545 × 1, supply item name: strawberry, supply amount: 150 jin, supply price: 18 yuan/jin, estimated arrival time: and 3 days ]. The initial provisioning information corresponding to each of the at least one provisioning party authentication information may also be [ provisioning party name: company b, supply item identification: 246545 × 1, supply item name: strawberry, supply amount: 200 jin, supply price: 20 yuan/jin, estimated arrival time: 4 days ].

And 303, selecting supply information meeting preset conditions from at least one supply information as matching information according to the name of the purchased article and/or the article purchasing information corresponding to the name of the purchased article to obtain a matching information group.

In some embodiments, the execution subject may select, according to the name of the purchased article and/or the article purchasing information corresponding to the name of the purchased article, provisioning information that meets a preset condition from the at least one provisioning information as matching information, to obtain a matching information group. The preset condition may be that the name of the supply item included in the supply information is the same as the name of the purchase item included in the purchase information. The preset condition may be that the name of the supply item included in the supply information is the same as the name of the purchase item included in the purchase information, and the supply price included in the supply information is within a preset purchase price range. The upper limit of the preset purchasing price range may be the last purchasing price included in the purchasing information. The lower limit of the preset purchase price range may be 0 yuan.

As an example, the above-mentioned at least one supplier authentication information may be [ [ supplier name: company a, supply item identification: 246545 × 1, supply item name: strawberry, supply amount: 150 jin, supply price: 18 yuan/jin, estimated arrival time: 3 days ], [ supplier name: company b, supply item identification: 246545 × 1, supply item name: strawberry, supply amount: 200 jin, supply price: 20 yuan/jin, estimated arrival time: 4 days ], [ supplier name: third, supply item identification: 354655 × 1, supply item name: cherries, supply amount: 150 jin, supply price: 45 yuan/jin, estimated arrival time: 3 days) ]. The above mentioned purchase item name may be "strawberry". The preset condition may be that the name of the supply item included in the supply information is the same as the name of the purchase item included in the purchase information. The matching information table corresponding to the matching information group may be as shown in fig. 4. Wherein, the matching information in the matching information table may include: supplier name 401, supply item identification 402, supply item name 403, supply quantity 404, supply price 405, and estimated time to arrival 406.

And 304, determining the price score value of the price factor corresponding to the matching information and the purchasing cost score value of the purchasing cost factor corresponding to the matching information for each matching information in the matching information group based on the purchasing information, and obtaining the price score value group and the purchasing cost score value group.

In some embodiments, the performing main body determines, for each matching information in the matching information group, a price score value of a price factor corresponding to the matching information and a purchase cost score value of a corresponding purchase cost factor based on the purchase information, and obtains a price score value group and a purchase cost score value group, and may include the following steps:

the method comprises the following steps of firstly, determining supply prices included in each matching information in a matching information group as price scores of price factors corresponding to the matching information, and obtaining a price score value group.

And secondly, determining the estimated arrival time included by each matching information in the matching information group as the purchasing cost score value of the purchasing cost factor corresponding to the matching information to obtain a purchasing cost score value group.

In some optional implementations of some embodiments, the performing body, based on the procurement information, determines, for each matching information in the matching information group, a price score value of a price factor corresponding to the matching information and a procurement cost score value of a procurement cost factor corresponding to the matching information, and obtains the price score value group and the procurement cost score value group, may include the following steps:

in a first step, the set of supply prices is sorted to generate a supply price sequence.

The execution subject may sort the supply price groups in descending order of the supply prices by using a target sorting algorithm to generate a supply price sequence. The execution body may also sort the supply price groups in an order of supply prices from small to large through a target sorting algorithm to generate a supply price sequence. The target sorting algorithm may be a quick sorting algorithm.

And a second step of, for each supply price in the supply price sequence, in response to determining that a difference between the supply price and an adjacent supply price corresponding to the supply price is greater than or equal to a preset threshold, subtracting a first preset value from a price score value of the adjacent supply price to obtain a price score value of the supply price. The price score value of the target supply price of the supply price sequence is a first preset score value.

When the execution main body sorts the supply price groups in the order of the supply prices from small to large to generate a supply price sequence, the adjacent supply price may be a previous supply price of the supply prices, and the target supply price may be a first supply price in the supply price sequence.

When the execution main body sorts the supply price groups in order of supply prices from large to small to generate a supply price sequence, the adjacent supply price may be a supply price next to the supply price. The target offer price may be a last offer price in the offer price sequence. Generating a difference between the supply price and an adjacent supply price corresponding to the supply price according to the adjacent supply price corresponding to the supply price and the supply price by the following formula:

where D represents the above-mentioned difference amplitude. B represents the supply price. A represents an adjacent supply price corresponding to the above supply price.

As an example, the first preset score may be 2 points. The first preset score value may be 10 points. The preset threshold may be 0.1.

And thirdly, for each supply price in the supply price sequence, in response to the fact that the difference amplitude between the supply price and the adjacent supply price corresponding to the supply price is smaller than the preset threshold value, subtracting a second preset value from the price score value of the adjacent supply price to obtain the value of the price score value of the supply price.

As an example, the second preset score may be 1 point.

And a fourth step of determining the supply price as a first rank price for each supply price in the supply price sequence in response to determining that the supply price is less than the purchase price included in the purchase information.

As an example, the supply price sequence may be [15 Yuan/jin, 16 Yuan/jin, 17 Yuan/jin, 18 Yuan/jin, 19 Yuan/jin ]. The purchase information may be [16 yuan/jin ]. The at least one first tier price determined above may be [15 dollars/jin ].

And fifthly, in response to the fact that the difference magnitude between the first-level price and the adjacent first-level price corresponding to the first-level price is larger than or equal to the preset threshold value, subtracting the first preset value from the first purchasing cost score of the adjacent first-level price to obtain a value of the first purchasing cost score of the first-level price.

As an example, the preset threshold may be 0.1.

And sixthly, in response to the fact that the difference magnitude between the first-level price and the adjacent first-level price corresponding to the first-level price is smaller than the preset threshold value, taking the value obtained by subtracting the second preset value from the first purchasing cost score of the adjacent first-level price as the first purchasing cost score of the first-level price.

As an example, the preset threshold may be 0.1.

A seventh step of, for each offer price in the offer price sequence, determining the offer price as a second tier price in response to determining that the offer price is equal to the purchase price included in the purchase information.

As an example, the supply price sequence may be [15 Yuan/jin, 16 Yuan/jin, 17 Yuan/jin, 18 Yuan/jin, 19 Yuan/jin ]. The purchase information may be [16 yuan/jin ]. The at least one second level price determined above may be [16 yuan/jin ].

And eighthly, determining a second preset score value as a second purchasing cost score value of the second-level price.

As an example, the second preset score value may be 0 point.

A ninth step of, for each offer price in the offer price sequence, determining the offer price as a third level price in response to determining that the offer price is greater than the purchase price included in the purchase information.

As an example, the supply price sequence may be [15 Yuan/jin, 16 Yuan/jin, 17 Yuan/jin, 18 Yuan/jin, 19 Yuan/jin ]. The purchase information may be [16 yuan/jin ]. The at least one first tier price determined above may be [17, 18, 19/jin ].

And a tenth step of, in response to determining that a difference between the third-level price and an adjacent third-level price corresponding to the third-level price is greater than or equal to the preset threshold, subtracting the first preset score from a third procurement cost score of the adjacent third-level price to obtain a third procurement cost score of the third-level price, where a target third-level price in the determined third-level price sequence is the second preset score.

As an example, the second preset score value may be 0 point.

And step eleven, in response to the fact that the difference magnitude between the third-level price and the adjacent third-level price corresponding to the third-level price is smaller than the preset threshold value, subtracting a second preset value from a third purchasing cost score value of the adjacent third-level price to obtain a value of the third purchasing cost score value of the third-level price.

As an example, the second preset score may be 1 point.

Step 305, performing weighted summation processing on each purchasing cost score value in the purchasing cost score value group and the price score value corresponding to the purchasing cost score value to generate a supply score value, so as to obtain a supply score value set.

In some embodiments, the executing entity may perform a weighted summation process on each of the purchasing cost score values in the set of purchasing cost score values and a price score value corresponding to the purchasing cost score value to generate a supply score value, resulting in a supply score value set. The execution subject may set a first preset weight for the purchase cost score value and a second preset weight for the price score value. The executing agent may generate the supply score value based on each of the purchase cost score values in the purchase cost score value group and a price score value corresponding to the purchase cost score value, by the following formula:

F＝M×X+N×Y。

wherein F represents the above-described supply score value. M represents the first preset weight. X represents the above procurement cost score value. N represents the second predetermined weight. Y represents the above price score value.

As an example, the first preset weight may be 0.45. The second preset weight may be 0.55.

And step 306, selecting a target number of matching information from the matching information groups as corresponding matching information groups of the purchasing information according to the sequence of the supply score values from large to small based on the purchasing amount included in the purchasing information.

In some embodiments, the specific implementation of step 306 and the technical effect thereof may refer to step 203 in those embodiments corresponding to fig. 2, which are not described herein again.

As can be seen from fig. 3, the description of some embodiments corresponding to fig. 2 is compared. First, in response to receiving the purchasing party authentication information and the supplying party authentication information, the purchasing information corresponding to the purchasing party authentication information and the initial supplying information corresponding to the supplying party authentication information can be acquired. Therefore, authenticity of the purchasing party information in the purchasing wholesale system is guaranteed. Secondly, by establishing a supply information updating mechanism, the initial supply information in the purchase wholesale system can be updated regularly to generate supply information. Thereby enabling the purchasing party to obtain the latest provisioning information for selection by the purchasing party. Then, the supply information matched with the purchase information is selected from the at least one supply information to be used as matching information, and a matching information group is obtained. At least one supplier information exists in the purchase wholesale system, and the at least one supplier information can provide a plurality of supply varieties with different supply information. Thus, the supply item that matches the procured item can be screened out to reduce the amount of computation in subsequently generating the score value. Then, based on the purchasing information, determining the supply score value of the corresponding factor for each matching information in the matching information group to obtain a supply score value set. And according to factors (price factors, purchasing cost optimization factors, supply quantity factors and the like) configured by the purchasing wholesale system, calculating the supply score value of the screened information, and providing data support for a corresponding matching information group of the subsequently selected purchasing information. And finally, selecting a target number of matching information from the matching information groups as corresponding matching information groups of the purchasing information according to the sequence of the supply score values from large to small on the basis of the purchasing amount included in the purchasing information. According to the quantity of the purchased goods, the supply information with larger supply score value is selected to meet the purchasing task formulated by the purchasing party, and further the processing efficiency of the related data generated when the goods are purchased is improved.

With further reference to fig. 5, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of an information generating apparatus, which correspond to those illustrated in fig. 2, and which may be particularly applied in various electronic devices.

As shown in fig. 5, the information generating apparatus 500 of some embodiments includes: a first selection unit 501, a determination unit 502 and a second selection unit 503. The first selecting unit 501 is configured to select, from at least one piece of supply information, supply information that matches with the procurement information as matching information, and obtain a matching information group, where the supply information in the at least one piece of supply information is obtained by updating initial supply information; a determining unit 502 configured to determine, for each matching information in the matching information group, a supply score of the corresponding factor based on the purchase information, resulting in a supply score set; a second selecting unit 503 configured to select, from the matching information groups, a target number of matching information as a corresponding matching information group of the purchase information in descending order of the supply score value based on the purchase amount included in the purchase information.

In an optional implementation manner of some embodiments, the apparatus 500 further includes: responding to the received purchasing party authentication information, and acquiring purchasing information corresponding to the purchasing party authentication information; and acquiring initial provisioning information corresponding to each provider authentication information in the at least one provider authentication information in response to receiving the at least one provider authentication information.

In an optional implementation manner of some embodiments, the purchase information includes at least one of the following: the name of the purchased article and article purchasing information corresponding to the name of the purchased article; and the first selection unit 501 is further configured to: and selecting the supply information meeting the preset condition from the at least one supply information as matching information according to the name of the purchased article and/or the article purchase information corresponding to the name of the purchased article.

In an alternative implementation of some embodiments, the factor includes at least one of: price factor, purchase cost factor; and the determining unit 502 is further configured to: determining a price score value of a price factor corresponding to the matching information and a purchasing cost score value of a corresponding purchasing cost factor for each matching information in the matching information group based on purchasing information to obtain a price score value group and a purchasing cost score value group; and performing weighted summation processing on each purchasing cost score value in the purchasing cost score value group and the price score value corresponding to the purchasing cost score value to generate a supply score value, so as to obtain the supply score value set.

In an optional implementation manner of some embodiments, the matching information in the matching information group includes: a supply price; and the determining unit 502 is further configured to: sorting the supply price groups to generate a supply price sequence; for each supply price in the supply price sequence, in response to determining that the difference magnitude between the supply price and an adjacent supply price corresponding to the supply price is greater than or equal to a preset threshold value, subtracting a first preset score from the price score of the adjacent supply price to obtain a value of the supply price, wherein the price score of the target supply price in the supply price sequence is the first preset score; and for each supply price in the supply price sequence, in response to determining that the difference magnitude between the supply price and the adjacent supply price corresponding to the supply price is smaller than the preset threshold value, subtracting a second preset value from the price score value of the adjacent supply price to obtain the price score value of the supply price.

In an alternative implementation of some embodiments, the purchase cost score of the set of purchase cost scores includes: a first procurement cost score value; and the determining unit 502 is further configured to: for each offer price in the offer price sequence, determining the offer price as a first tier price in response to determining that the offer price is less than a purchase price included in the purchase information; in response to determining that the difference between the first-level price and the adjacent first-level price corresponding to the first-level price is greater than or equal to the preset threshold, taking a value obtained by subtracting the first preset score from the first procurement cost score of the adjacent first-level price as the first procurement cost score of the first-level price, wherein the first procurement cost score of the target first-level price in the determined first-level price sequence is the first preset score; and in response to determining that the difference magnitude between the first-level price and the adjacent first-level price corresponding to the first-level price is smaller than the preset threshold value, subtracting the second preset value from the first purchasing cost score value of the adjacent first-level price to obtain a value of the first purchasing cost score value of the first-level price.

In an optional implementation of some embodiments, the purchase cost score value in the set of purchase cost score values further includes: a second procurement cost score value; and the determining unit 502 is further configured to: for each offer price in the offer price sequence, determining the offer price as a second tier price in response to determining that the offer price is equal to a purchase price included in the purchase information; and determining the second preset score value as a second purchasing cost score value of the second grade price.

In an optional implementation of some embodiments, the purchase cost score value in the set of purchase cost score values further includes: a third procurement cost score value; and the determining unit 502 is further configured to: for each offer price in the offer price sequence, determining the offer price as a third level price in response to determining that the offer price is greater than a purchase price included in the purchase information; in response to determining that the magnitude of the difference between the third-level price and an adjacent third-level price corresponding to the third-level price is greater than or equal to the preset threshold, taking a value obtained by subtracting the first preset score from a third procurement cost score of the adjacent third-level price as a third procurement cost score of the third-level price, wherein the target third-level price in the determined third-level price sequence is the second preset score; and in response to determining that the difference magnitude between the third-level price and the adjacent third-level price corresponding to the third-level price is smaller than the preset threshold value, subtracting a second preset value from a third purchasing cost score value of the adjacent third-level price to obtain a value of the third purchasing cost score value of the third-level price.

It will be understood that the elements described in the apparatus 500 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 500 and the units included therein, and are not described herein again.

Referring now to FIG. 6, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)600 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 6 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. 6, electronic device 600 may include a processing means (e.g., central processing unit, graphics processor, etc.) 601 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Generally, the following devices may be connected to the I/O interface 605: input devices 604 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device 600 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. 6 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 through the communication device 609, or installed from the storage device 608, or installed from the ROM 602. The computer program, when executed by the processing device 601, 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 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: selecting supply information matched with the purchase information from at least one piece of supply information as matching information to obtain a matching information group, wherein the supply information in the at least one piece of supply information is obtained by updating the initial supply information; determining a supply score value of a corresponding factor for each matching information in the matching information group based on the purchase information to obtain a supply score value set; and selecting a target number of matching information from the matching information groups as corresponding matching information groups of the purchasing information according to the sequence of the supply score values from large to small on the basis of the purchasing amount included in the purchasing information.

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 a first selection unit, a determination unit, and a second selection unit. The names of the units do not form a limitation on the units themselves in some cases, for example, the determining unit may be further described as "a unit that determines the supply score of the corresponding factor for each matching information in the matching information group based on the purchase information to obtain a supply score 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

1. An information generating method, comprising:

selecting supply information matched with the purchase information from at least one piece of supply information as matching information to obtain a matching information group, wherein the supply information in the at least one piece of supply information is obtained by updating the initial supply information;

determining a supply score value of the corresponding factor for each matching information in the matching information group based on the purchasing information to obtain a supply score value set;

and selecting a target number of matching information from the matching information groups as corresponding matching information groups of the purchasing information according to the sequence of the supply score values from large to small on the basis of the purchasing amount included in the purchasing information.

2. The method of claim 1, wherein prior to said selecting as matching information from the at least one piece of provisioning information the provisioning information that matches the procurement information, the method further comprises:

in response to receiving the purchasing party authentication information, acquiring purchasing information corresponding to the purchasing party authentication information;

in response to receiving at least one supplier authentication information, acquiring initial supply information corresponding to each supplier authentication information in the at least one supplier authentication information.

3. The method of claim 1, wherein the procurement information comprises at least one of: the name of the purchased article and article purchasing information corresponding to the name of the purchased article; and

the selecting of the supply information matched with the purchase information from the at least one supply information as the matching information includes:

and selecting the supply information meeting the preset condition from the at least one supply information as matching information according to the name of the purchased article and/or the article purchase information corresponding to the name of the purchased article.

4. The method of claim 3, wherein the factor comprises at least one of: price factor, purchase cost factor; and

determining a supply score value of the corresponding factor for each matching information in the matching information group based on the procurement information to obtain a supply score value set, including:

determining a price score value of a price factor corresponding to the matching information and a purchasing cost score value of a corresponding purchasing cost factor for each matching information in the matching information group based on purchasing information to obtain a price score value group and a purchasing cost score value group;

and carrying out weighted summation processing on each purchasing cost score value in the purchasing cost score value group and the price score value corresponding to the purchasing cost score value to generate a supply score value, so as to obtain the supply score value set.

5. The method of claim 4, wherein the matching information in the set of matching information comprises: a supply price; and

the determining, for each matching information in the matching information group, a price score value of a price factor corresponding to the matching information and a purchasing cost score value of a corresponding purchasing cost factor based on purchasing information, to obtain a price score value group and a purchasing cost score value group, includes:

sorting the supply price groups to generate a supply price sequence;

for each supply price in the supply price sequence, in response to determining that the difference magnitude between the supply price and an adjacent supply price corresponding to the supply price is greater than or equal to a preset threshold value, subtracting a first preset score from a price score of the adjacent supply price to serve as the price score of the supply price, wherein the price score of a target supply price in the supply price sequence is the first preset score;

for each supply price in the supply price sequence, in response to determining that the difference magnitude between the supply price and the adjacent supply price corresponding to the supply price is smaller than the preset threshold, subtracting a second preset value from the price score value of the adjacent supply price as the price score value of the supply price.

6. The method of claim 5, wherein a procurement cost score of the set of procurement cost scores comprises: a first procurement cost score value; and

the determining, for each matching information in the matching information group, a price score value of a price factor corresponding to the matching information and a purchasing cost score value of a corresponding purchasing cost factor based on purchasing information, to obtain a price score value group and a purchasing cost score value group, further includes:

for each offer price in the sequence of offer prices, determining the offer price as a first level price in response to determining that the offer price is less than a purchase price included in the purchase information;

in response to determining that the difference magnitude between the first-level price and an adjacent first-level price corresponding to the first-level price is greater than or equal to the preset threshold value, taking a value obtained by subtracting the first preset score from a first procurement cost score of the adjacent first-level price as the first procurement cost score of the first-level price, wherein the first procurement cost score of a target first-level price in the determined first-level price sequence is the first preset score;

and in response to the fact that the difference amplitude between the first-level price and the adjacent first-level price corresponding to the first-level price is smaller than the preset threshold value, taking the value obtained by subtracting the second preset value from the first purchasing cost score of the adjacent first-level price as the first purchasing cost score of the first-level price.

7. The method of claim 6, wherein the procurement cost score value of the set of procurement cost score values further comprises: a second procurement cost score value; and

for each offer price in the sequence of offer prices, determining the offer price as a second tier price in response to determining that the offer price is equal to a purchase price included in the purchase information;

determining a second pre-set score value as a second procurement cost score value for the second tier price.

8. The method of claim 7, wherein the procurement cost score value of the set of procurement cost score values further comprises: a third procurement cost score value; and

for each offer price in the sequence of offer prices, determining the offer price as a third level price in response to determining that the offer price is greater than a purchase price included in the purchase information;

in response to determining that the difference magnitude between the third-level price and an adjacent third-level price corresponding to the third-level price is greater than or equal to the preset threshold, taking a value obtained by subtracting the first preset score from a third procurement cost score of the adjacent third-level price as a third procurement cost score of the third-level price, wherein a target third-level price in the determined third-level price sequence is the second preset score;

and in response to determining that the difference magnitude between the third-level price and the adjacent third-level price corresponding to the third-level price is smaller than the preset threshold value, taking a value obtained by subtracting a second preset value from a third purchasing cost score value of the adjacent third-level price as a third purchasing cost score value of the third-level price.

9. An information generating apparatus comprising:

a first selection unit configured to select, from at least one piece of provisioning information, provisioning information that matches the procurement information as matching information, resulting in a matching information group, wherein the provisioning information in the at least one piece of provisioning information is obtained after updating the initial provisioning information;

a determining unit configured to determine a supply score value of the corresponding factor for each matching information in the matching information group based on the purchase information, resulting in a supply score value set;

and the second selection unit is configured to select a target number of matching information from the matching information groups as corresponding matching information groups of the purchasing information according to the sequence of supply score values from large to small on the basis of the purchasing amount included in the purchasing information.

10. 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 1-8.

11. 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 1-8.