CN111242720A - Method and system for recommending suppliers for shopping providers - Google Patents
Method and system for recommending suppliers for shopping providers Download PDFInfo
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Abstract
The invention discloses a method and a system for recommending suppliers for purchasing suppliers, and belongs to the technical field of data processing. The method comprises the following steps: acquiring supplier information and generating a supplier set; determining a characteristic group and determining the transaction condition of each buyer in the characteristic group and each supplier in the supplier set; generating a set of existing transactions and a set of potential transactions; determining the acceptance of any one of the buyer and the characteristic group to each supplier in the existing transaction set; determining a reference buyer; the supplier is recommended for the buyer. The method quickly locks the most likely upstream raw grain suppliers which the grain purchasing enterprises want to cooperate with, recommends the suppliers to the users of the grain purchasing enterprises, lightens the screening work of the users on transaction objects, and helps the grain trading enterprises and the grain and oil processing enterprises to improve the operating efficiency and the transaction success rate.
Description
Technical Field
The present invention relates to the field of data processing technology, and more particularly, to a method and system for recommending suppliers to a buyer.
Background
Grain is used as an important strategic resource of the country, and grain safety is always a key concern of the country. In order to guarantee the benefits of grain-planting farmers, China always implements the policy of executing the minimum purchasing price on important areas and important grain varieties for many years, and the grain yield is also realized to be fifteen and even rich.
In recent years, in order to improve market vitality and improve grain quality, the transition from policy acquisition to market acquisition is gradually promoted in China, and the means that traders compete in the harsh market and can occupy a place in the market only if the quality and price are excellent.
The grain industry is an industry with a very weak informatization foundation, the threshold for entering the industry is low, the information is opaque, and the entrenchment of each transaction link is hidden, which is the biggest obstacle for the development of a raw grain trading platform.
Disclosure of Invention
In view of the above problem, the present invention provides a method for recommending suppliers for a buyer, including:
acquiring supplier information and generating a supplier set;
acquiring basic operation information of the purchasing suppliers, performing characteristic division on the purchasing suppliers according to the basic operation information, determining characteristic groups and determining the transaction condition of each purchasing supplier in the characteristic groups and each supplier in the supplier set;
determining the transaction condition of the buyer and each supplier in the supplier set according to the basic operation information, and generating a transaction set and a potential transaction set;
determining the acceptance of any one of the buyer and the feature group to each supplier in the existing transaction set according to the transaction condition of each supplier in the existing transaction set and the transaction condition of any one of the buyer in the feature group and each supplier in the existing transaction set;
determining the similarity space distance between the buyer and any one of the feature groups according to the recognition degree of any one of the buyer and each supplier in the transaction set, and selecting the buyer in the feature group within a preset threshold range as a reference buyer;
determining the acceptance of the reference buyer to each supplier in the potential transaction set, determining a recommendation value according to the similar spatial distance between the reference buyer and the acceptance of the reference buyer to each supplier in the potential transaction set, and recommending the supplier for the buyer according to the recommendation value.
Optionally, the transaction case includes: number of successful transactions and evaluation, sharing and collection after successful transactions.
Optionally, the basic operation information includes: the business registration address, the enterprise property, the business license, the business variety and the business scale of the purchasing enterprise.
Optionally, the existing transaction set and the potential transaction set are complementary sets of the supplier set.
Optionally, the acceptance of any one buyer in the feature group to each supplier in the transaction set is eliminated, and if the acceptance is 0, the buyer with the acceptance of 0 is eliminated from the feature group.
The invention also provides a system for recommending suppliers for a buyer, which comprises the following steps:
the first acquisition module acquires the supplier information and generates a supplier set;
the second acquisition module is used for acquiring the basic operation information of the purchasing suppliers, performing characteristic division on the purchasing suppliers according to the basic operation information, determining characteristic groups and determining the transaction condition of each purchasing supplier in the characteristic groups and each supplier in the supplier set;
the aggregation module is used for determining the transaction condition of each supplier in the purchase request supplier and the supplier aggregate according to the basic operation information and generating an existing transaction aggregate and a potential transaction aggregate;
the preprocessing module is used for determining the acceptance degree of any one of the buyer and the characteristic group to each supplier in the existing transaction set according to the transaction condition of each supplier in the existing transaction set and the transaction condition of any one of the buyer in the characteristic group and each supplier in the existing transaction set;
the calculation module is used for determining the similarity space distance between the buyer and any one of the feature groups according to the recognition degree of any one of the buyer and each supplier in the transaction set, and selecting the buyer in the feature group within a preset threshold range as a reference buyer;
and the recommending module is used for determining the acceptance of the reference buyer to each supplier in the potential transaction set, determining a recommended value according to the similar spatial distance between the reference buyer and the acceptance of the reference buyer to each supplier in the potential transaction set, and recommending the supplier for the buyer according to the recommended value.
Optionally, the transaction case includes: number of successful transactions and evaluation, sharing and collection after successful transactions.
Optionally, the basic operation information includes: the business registration address, the enterprise property, the business license, the business variety and the business scale of the purchasing enterprise.
Optionally, the existing transaction set and the potential transaction set are complementary sets of the supplier set.
Optionally, the acceptance of any one buyer in the feature group to each supplier in the transaction set is eliminated, and if the acceptance is 0, the buyer with the acceptance of 0 is eliminated from the feature group.
The method quickly locks the most likely upstream raw grain suppliers which the grain purchasing enterprises want to cooperate with, recommends the suppliers to the users of the grain purchasing enterprises, lightens the screening work of the users on transaction objects, and helps the grain trading enterprises and the grain and oil processing enterprises to improve the operating efficiency and the transaction success rate.
Drawings
FIG. 1 is a flow chart of a method for recommending suppliers for a buyer in accordance with the present invention;
FIG. 2 is a block diagram of a system for recommending suppliers for a buyer in accordance with the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
The invention provides a method for recommending suppliers for a buyer, which comprises the following steps as shown in figure 1:
acquiring supplier information and generating a supplier set;
acquiring basic operation information of the purchasing suppliers, performing characteristic division on the purchasing suppliers according to the basic operation information, determining characteristic groups and determining the transaction condition of each purchasing supplier in the characteristic groups and each supplier in the supplier set;
basic business information, including: the business registration address, the enterprise property, the business license, the business variety and the business scale of the purchasing enterprise.
And if the acceptance degree of any one buyer in the characteristic group to each supplier in the transaction set is 0, eliminating the buyer with the acceptance degree of 0 in the characteristic group.
Determining the transaction condition of the buyer and each supplier in the supplier set according to the basic operation information, and generating a transaction set and a potential transaction set;
a transaction scenario, comprising: number of successful transactions and evaluation, sharing and collection after successful transactions.
Determining the acceptance of any one of the buyer and the feature group to each supplier in the existing transaction set according to the transaction condition of each supplier in the existing transaction set and the transaction condition of any one of the buyer in the feature group and each supplier in the existing transaction set;
determining the similarity space distance between the buyer and any one of the feature groups according to the recognition degree of any one of the buyer and each supplier in the transaction set, and selecting the buyer in the feature group within a preset threshold range as a reference buyer;
determining the acceptance of the reference buyer to each supplier in the potential transaction set, determining a recommendation value according to the similar spatial distance between the reference buyer and the acceptance of the reference buyer to each supplier in the potential transaction set, and recommending the supplier for the buyer according to the recommendation value.
The invention is illustrated below with reference to specific examples:
the enterprise user A registers enterprise information on the transaction platform, and fills basic operation information of the enterprise user A, such as information of the location of the enterprise, the property of the enterprise, a business license, an operation variety, the operation scale of the enterprise and the like.
And dividing the characteristics of the enterprise users according to the basic registration information of the enterprise user A.
Such as: a certain enterprise user belongs to grain processing enterprises which mainly operate corn alcohol production in Guangdong province.
Suppose enterprise user A is in system attribution characteristic group L, which has n enterprise users, and enterprise user XiIs represented by Xi∈L,i≤n。
Screening out the neutralization X of the platformiA set of collaborated provider enterprises P;
according to XiScreening out P-neutralized XiSet P with past cooperationpickAnd has not cooperatedPotential recommendation set Ptarget，PpickAnd PtargetAre complementary sets of P each other.
PpickHas m1A plurality of provider enterprise users, the provider enterprise users being connected in a Y-orderj∈Ppick,j≤m1Represents;
Ptargethas m2A vendor enterprise user, the vendor enterprise users being in Y'j∈Ptarget,j≤m2And (4) showing.
According to actual conditions in the collection, sharing, successful transaction times, post-transaction evaluation and other systems, the enterprises A and X are calculatediTo the supply enterprise set PpickEach enterprise Y injDegree of acceptance Kij。
Calculating users A and X by Euclidean distance formulaiThe similarity space distance.
If K appearsijWhen 0, the enterprise user X is describediFor enterprise YjAnd the method does not produce trade relation, cannot be used for calculating the similarity with the enterprise user A, and needs to be eliminated.
The similarity space distance calculation formula is as follows:
the smaller the distance, the more similar the two enterprises behave, the more valuable it has, and the D0i statistical table is as follows:
calculating XiTo the supply enterprise set PtargetY 'per enterprise of'jK 'of recognition degree'ij。
By using XiSimilarity space distance D with A0iAnd recognition degree K'ijCalculating to obtain a supply enterprise set PtargetY 'of China enterprises'jFinal score F for user A0jThe formula is as follows:
F0jthe statistical table is as follows:
according to the final score F0jThe high and low recommendations are matched to enterprise user A.
The present invention also provides a system 200 for recommending suppliers for a buyer, as shown in fig. 2, comprising:
the first acquisition module 201 acquires the supplier information and generates a supplier set;
basic business information, including: the business registration address, the enterprise property, the business license, the business variety and the business scale of the purchasing enterprise.
The second acquisition module 202 is used for acquiring basic operation information of the purchasing providers, performing characteristic division on the purchasing providers according to the basic operation information, determining characteristic groups and determining the transaction condition of each purchasing provider in the characteristic groups and each provider in the provider set;
and if the acceptance degree of any one buyer in the characteristic group to each supplier in the transaction set is 0, eliminating the buyer with the acceptance degree of 0 in the characteristic group.
A transaction scenario, comprising: number of successful transactions and evaluation, sharing and collection after successful transactions.
The aggregation module 203 determines the transaction condition of the buyer and each supplier in the supplier aggregation according to the basic operation information, and generates an existing transaction aggregation and a potential transaction aggregation;
the presence transaction set and the potential transaction set are complementary to the supplier set.
The preprocessing module 204 is used for determining the acceptance of any one of the buyer and the feature group to each supplier in the existing transaction set according to the transaction condition of each supplier in the existing transaction set and the transaction condition of any one of the buyer and each supplier in the feature group;
the calculation module 205 determines a similarity spatial distance between the buyer and any one of the feature groups according to the recognition degree of any one of the buyer and the feature group to each supplier in the transaction set, and selects the buyer in the feature group within a preset threshold range as a reference buyer;
the recommending module 206 determines the acceptance of the reference buyer to each supplier in the potential transaction set, determines a recommendation value according to the similar spatial distance between the reference buyer and the acceptance of the reference buyer to each supplier in the potential transaction set, and recommends the supplier for the buyer according to the recommendation value.
The method quickly locks the most likely upstream raw grain suppliers which the grain purchasing enterprises want to cooperate with, recommends the suppliers to the users of the grain purchasing enterprises, lightens the screening work of the users on transaction objects, and helps the grain trading enterprises and the grain and oil processing enterprises to improve the operating efficiency and the transaction success rate.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A method for recommending suppliers for a buyer, the method comprising:
acquiring supplier information and generating a supplier set;
acquiring basic operation information of the purchasing suppliers, performing characteristic division on the purchasing suppliers according to the basic operation information, determining characteristic groups and determining the transaction condition of each purchasing supplier in the characteristic groups and each supplier in the supplier set;
determining the transaction condition of the buyer and each supplier in the supplier set according to the basic operation information, and generating a transaction set and a potential transaction set;
determining the acceptance of any one of the buyer and the feature group to each supplier in the existing transaction set according to the transaction condition of each supplier in the existing transaction set and the transaction condition of any one of the buyer in the feature group and each supplier in the existing transaction set;
determining the similarity space distance between the buyer and any one of the feature groups according to the recognition degree of any one of the buyer and each supplier in the transaction set, and selecting the buyer in the feature group within a preset threshold range as a reference buyer;
determining the acceptance of the reference buyer to each supplier in the potential transaction set, determining a recommendation value according to the similar spatial distance between the reference buyer and the acceptance of the reference buyer to each supplier in the potential transaction set, and recommending the supplier for the buyer according to the recommendation value.
2. The method of claim 1, the transaction scenario, comprising: number of successful transactions and evaluation, sharing and collection after successful transactions.
3. The method of claim 1, the base business information comprising: the business registration address, the enterprise property, the business license, the business variety and the business scale of the purchasing enterprise.
4. The method of claim 1, the existing set of transactions and potential set of transactions being complementary sets to a set of vendors.
5. The method of claim 1, wherein any one buyer in the feature group has an acceptance level for each supplier in the transaction set, and if the acceptance level is 0, the buyer with the acceptance level of 0 is removed from the feature group.
6. A system for recommending suppliers for a buyer, the system comprising:
the first acquisition module acquires the supplier information and generates a supplier set;
the second acquisition module is used for acquiring the basic operation information of the purchasing suppliers, performing characteristic division on the purchasing suppliers according to the basic operation information, determining characteristic groups and determining the transaction condition of each purchasing supplier in the characteristic groups and each supplier in the supplier set;
the aggregation module is used for determining the transaction condition of each supplier in the purchase request supplier and the supplier aggregate according to the basic operation information and generating an existing transaction aggregate and a potential transaction aggregate;
the preprocessing module is used for determining the acceptance degree of any one of the buyer and the characteristic group to each supplier in the existing transaction set according to the transaction condition of each supplier in the existing transaction set and the transaction condition of any one of the buyer in the characteristic group and each supplier in the existing transaction set;
the calculation module is used for determining the similarity space distance between the buyer and any one of the feature groups according to the recognition degree of any one of the buyer and each supplier in the transaction set, and selecting the buyer in the feature group within a preset threshold range as a reference buyer;
and the recommending module is used for determining the acceptance of the reference buyer to each supplier in the potential transaction set, determining a recommended value according to the similar spatial distance between the reference buyer and the acceptance of the reference buyer to each supplier in the potential transaction set, and recommending the supplier for the buyer according to the recommended value.
7. The system of claim 6, the transaction scenario, comprising: number of successful transactions and evaluation, sharing and collection after successful transactions.
8. The system of claim 6, the base business information comprising: the business registration address, the enterprise property, the business license, the business variety and the business scale of the purchasing enterprise.
9. The system of claim 6, the existing set of transactions and the potential set of transactions being complementary sets to a set of vendors.
10. The system of claim 6, wherein any one buyer in the feature group has an acceptance level for each supplier in the transaction set, and if the acceptance level is 0, the buyer with the acceptance level of 0 is removed from the feature group.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112927084A (en) * | 2021-04-08 | 2021-06-08 | 浙江诺诺网络科技有限公司 | Trading enterprise recommendation method, device, equipment and medium |
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| CN110415084A (en) * | 2019-07-30 | 2019-11-05 | 中国工商银行股份有限公司 | A kind of product intelligent recommended method and device |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102567900A (en) * | 2011-12-28 | 2012-07-11 | 尚明生 | Method for recommending commodities to customers |
| CN106611344A (en) * | 2015-10-23 | 2017-05-03 | 北京国双科技有限公司 | Method and device for mining potential customers |
| CN110059770A (en) * | 2019-04-30 | 2019-07-26 | 苏州大学 | Adaptive task distribution method, device and associated component based on position prediction |
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