CN112016958A - Product selection method and device, electronic equipment and storage medium - Google Patents

Abstract

The embodiment of the invention relates to the technical field of IT application, and discloses a product selection method. The embodiment of the invention firstly constructs the association relationship among products, supplied commodities and suppliers; analyzing a product selection instruction, and obtaining a supply commodity set according to the incidence relation; calculating the grade of each supply commodity in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set selected by a user in advance; and selecting the optimal supply commodity in the supply commodity set according to the scores. The invention also provides a product selection device, an electronic device and a computer readable storage medium. The embodiment of the invention reduces the cost of development, operation and maintenance, can realize dynamic modification of product evaluation indexes, and can improve user experience.

Description

Product selection method, device, electronic device and storage medium

technical field

Embodiments of the present invention relate to the technical field of IT applications, and in particular, to a method, an apparatus, an electronic device, and a storage medium for product selection.

Background technique

With the development of society, more and more products or services can be provided to users, and the same product or service may be provided by multiple different suppliers. For example, in the field of network operations, a variety of products and services such as traffic, phone bills, and text messages can be provided to users, and the providers of these products and services usually include operator headquarters, sub-provinces, third parties, and third-party upstreams.

The inventor found that when a product providing platform provides users with a certain product or service, it needs to classify the product selection instructions first, and access different types of systems or API (Application Programming Interface) pairs according to different classifications. The product selection instruction is parsed, which increases the development, operation and maintenance cost of the platform; in addition, when selecting products or services for users, the product is mainly evaluated by using fixed product evaluation indicators, such as price, and the product evaluation indicators are not easy. Modification, the user experience is poor.

SUMMARY OF THE INVENTION

The purpose of the embodiments of the present invention is to provide a product selection method, apparatus, electronic device and storage medium, which can reduce the cost of development, operation and maintenance, dynamically modify product evaluation indicators, and improve user experience.

In order to solve the above technical problems, embodiments of the present invention provide a product selection method, which includes:

Build relationships between products, supply goods, and suppliers;

Parse the product selection instruction, and obtain the supply commodity set according to the association relationship;

Calculate the score of each supply commodity in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set pre-selected by the user;

According to the score, the best supply commodity in the supply commodity set is selected.

In order to solve the above problems, the present invention also provides a product selection device, the device includes:

The relationship building module is used to build the relationship between products, supply goods, and suppliers;

The selection instruction parsing module is used to parse the product selection instruction, and obtain the supply commodity set according to the association relationship;

a score calculation module, configured to calculate the score of each supply commodity in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set pre-selected by the user;

The optimal commodity selection module is configured to select the optimal supply commodity in the supply commodity set according to the score.

In order to solve the above problems, the present invention also provides an electronic device, the electronic device includes:

a memory that stores at least one instruction; and

The processor executes the instructions stored in the memory to implement the product selection method described above.

In order to solve the above problems, the present invention also provides a computer-readable storage medium, where at least one instruction is stored in the computer-readable storage medium, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned Product selection method.

The embodiment of the present invention builds an association relationship among products, supply commodities, and suppliers, parses the product selection instruction, and obtains a supply commodity set according to the association relationship. The embodiment of the present invention realizes the product, supply commodity, A unified interface between suppliers reduces the cost of DevOps. Further, the embodiment of the present invention calculates the score of each supply commodity in the supply commodity set according to the cost parameter of the product and the attribute parameter set pre-selected by the user, because the attribute parameter set can be dynamically adjusted according to the user's selection, Therefore, the obtained score of the supplied product is not fixed, which improves the user experience.

Preferably, the parsing of the product selection instruction to obtain a supply commodity set according to the association relationship includes:

Parse the product selection instruction to obtain the product code;

Use the product code to index the product;

A corresponding supply commodity set is determined according to the product and the association relationship.

Preferably, calculating the score of each supply commodity in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set pre-selected by the user includes:

Calculate the evaluation coefficient of each supplied commodity according to the attribute parameter set pre-selected by the user;

Calculate the cost coefficient of each supplied commodity according to the cost parameter;

According to the evaluation coefficient and cost coefficient of each supplied commodity, the score of each supplied commodity is obtained.

Preferably, the calculation of the evaluation coefficient of each supplied commodity according to the attribute parameter set pre-selected by the user includes:

Multiplying each attribute parameter in the attribute parameter set preselected by the user with the corresponding preset attribute parameter weight to obtain the weight value of each attribute parameter;

According to the weight values corresponding to all the attribute parameters included in the attribute parameter set pre-selected by the user, the evaluation coefficient of each supplied commodity is obtained.

Preferably, the calculating the evaluation coefficient of each supplied commodity according to the attribute parameter set pre-selected by the user further includes:

Converting the attribute value of the attribute parameter in the attribute parameter set preselected by the user and the corresponding attribute parameter weight into a value value, and converting the attribute name of the attribute parameter in the attribute parameter set preselected by the user into a key value;

Summarize all key values and value values to obtain a key-value set of attribute parameters, and store the key-value set in a preset blank data table to obtain an attribute parameter data table;

According to each value in the attribute parameter data table, the evaluation coefficient of each supplied commodity is obtained.

In the embodiment of the present invention, attribute parameters and attribute parameter weights are stored in the form of key-value, and the evaluation coefficient is calculated by using the value value. When the attribute parameter feature type is transformed, the evaluation coefficient can be changed only by changing the value value, thereby changing the score and realizing dynamic change. Product evaluation and screening indicators improve the flexibility of product selection.

Preferably, the calculating the cost coefficient of each supplied commodity according to the cost parameter includes:

Multiply the cost parameter of each supplied commodity and the preset cost parameter weight to obtain the cost coefficient of each supplied commodity.

Preferably, the selecting the best supply commodity in the supply commodity set according to the score includes:

Aggregating the scores of each supply commodity in the supply commodity set to obtain a score set;

Sort the scores in the score set to obtain the minimum score;

In the supply commodity set, the supply commodity corresponding to the minimum score is selected as the optimal supply commodity.

To sum up, the embodiments of the present invention realize a unified interface among products, supply commodities, and suppliers by constructing the association relationship among products, supply commodities, and suppliers, and reduce the cost of development, operation and maintenance, according to the needs of users. Dynamically select and adjust the attribute parameter set, thereby changing the score, realizing the dynamic change of product evaluation and screening indicators, and improving the user experience.

Description of drawings

One or more embodiments are exemplified by the pictures in the corresponding drawings, and these exemplifications do not constitute limitations of the embodiments, and elements with the same reference numerals in the drawings are denoted as similar elements, Unless otherwise stated, the figures in the accompanying drawings do not constitute a scale limitation.

1 is a schematic flowchart of a product selection method provided by a first embodiment of the present invention;

2 is a schematic diagram of the association relationship between products, supply commodities and suppliers in the product selection method provided by the first embodiment of the present invention;

3 is a schematic diagram of a detailed implementation flow of obtaining a supply commodity set in the product selection method provided by the first embodiment of the present invention;

4 is a schematic diagram of a detailed implementation flow of calculating the score of each supplied commodity in the product selection method provided by the first embodiment of the present invention;

5 is a schematic diagram of a detailed implementation flow of calculating the evaluation coefficient of each supplied commodity in the product selection method provided by the first embodiment of the present invention;

6 is a schematic diagram of a module of a product selection device provided by a second embodiment of the present invention;

7 is a schematic diagram of the internal structure of an electronic device for implementing a product selection method provided by a third embodiment of the present invention;

The object realization, functional features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments.

Detailed ways

In order to make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the various embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, those of ordinary skill in the art can appreciate that, in the various embodiments of the present invention, many technical details are set forth in order for the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in the present application can be realized.

The embodiment of the present invention relates to a product selection method. The core of this embodiment is to realize a unified interface among products, supply commodities, and suppliers, reduce the cost of development, operation and maintenance, and dynamically adjust the score of supply commodities, so as to improve the user experience. experience. The implementation details of the product selection in this embodiment will be specifically described below. The following content is only provided for the convenience of understanding, and is not necessary for implementing this solution.

Please refer to FIG. 1 , which is a flowchart of the product selection method provided by the first embodiment of the present invention, including:

S1. Build the relationship between products, supply goods, and suppliers.

The product may be a product type provided by a product providing platform. Each product can include supplies from different suppliers. For example, as shown in FIG. 2 , the products provided by a product providing platform may include 10M traffic package, phone bill package and short message package. Wherein, the supply commodities included in the platform product of the 10M flow package may be the 10M flow package 1 provided by supplier A, the 10M flow package 2 provided by supplier B, and the 10M flow package 3 provided by supplier C; in the same way, The product of this platform can include the call charge package 2 provided by the supplier A and the call charge package 1 provided by the supplier B; and so on.

In one embodiment of the present invention, an association relationship between the product, the supplied commodity, and the supplier can be established through the product code.

S2. Parse the product selection instruction, and obtain a supply commodity set according to the association relationship.

In one embodiment of the present invention, the product selection instruction is generated when the user selects and orders a certain product on a preset product providing platform and inputs the product code of the product. The product code can be obtained from the platform's order database.

In detail, referring to FIG. 3 , according to the embodiment of the present invention, the product selection instruction is parsed, and the supply commodity set is obtained according to the association relationship, including:

S21. Parse the product selection instruction to obtain a product code.

S22, using the product code to index the product.

In this embodiment of the present invention, different product codes correspond to different products, and there is a one-to-one correspondence between product codes and products. Therefore, according to the preset product codes and the corresponding relationship between products, the embodiment of the present invention can use the product code to index out product. For example: a mobile communication product platform has three products: 10M data package, 50M data package and 100M data package. The product code of 10M data package is "001", the product code of 50M data package is "002", and the product code of 100M data package is "003". ". When the product code in the user's selection instruction is 001, the product corresponding to the product code can be indexed as a 10M traffic packet according to the preset product code and the corresponding relationship between the products.

S23. Determine a corresponding supply commodity set according to the product and the association relationship.

As described above, the association relationship is an association relationship between products, supply commodities, and suppliers, and the association relationship is established by product codes. Therefore, according to the product and the association relationship, the embodiment of the present invention can determine all The supply commodity supplied by the supplier, get the supply commodity set.

In one embodiment of the present invention, in order to ensure the rationality of the supply commodities corresponding to the products, the supply commodities may be screened by using a preset limit, and the supply commodities that meet the limit may be aggregated to obtain a supply commodity set. Among them, the limit is a rigid requirement of the product, which can be flexibly set by the user according to their actual situation. For example, the rigid requirement of the product is that the profit margin of the product is more than 0.5%. For example: a mobile communication product platform has three products: 10M data package, 50M data package, and 100M data package. Among them, the 10M data package product has the supply products provided by three suppliers, A, B, and C. When the user chooses to order When the product is a 10M data package, the supply products corresponding to the product the user chooses to order are also confirmed, that is, the supply products of the three 10M data packages provided by the three suppliers A, B, and C. Further use the preset limit to After screening the supply goods, it was found that the profit margin of the supply goods provided by supplier A was too low and did not meet the requirements of the enterprise's product profit rate of more than 0.5%. Therefore, only the 10M traffic provided by the two suppliers B and C finally met the limit requirements. The supply commodities of the package, the supply commodities of the two 10M traffic packages are aggregated to obtain the supply commodity set.

S3. Calculate the score of each supply commodity in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set pre-selected by the user.

In the embodiment of the present invention, the supply commodity includes a cost parameter and an attribute parameter set, wherein the cost parameter is the cost of the supply commodity, and the attribute parameter set is a set of instability attributes of the supply commodity. The types of unstable attributes of the supply goods will gradually change with the use environment of the supply goods or the types of supply goods, so the user can select one from the attribute parameter set in advance according to the actual situation or needs. Or a variety of attribute parameters. The supply commodity is a mobile communication commodity as an example, and the attribute parameter set may include: delay time rate, supply failure rate, and the like.

Further, the supply commodity set includes a plurality of supply commodities, but in the embodiment of the present invention, an optimal supply commodity needs to be selected as the supply commodity of the product. filter. The embodiment of the present invention uses the score of each supply commodity in the supply commodity set to filter the commodities in the supply commodity set.

In detail, the set of cost parameters and attribute parameters is an important evaluation factor for the supply commodity. Therefore, the embodiment of the present invention calculates the score of each supply commodity in the supply commodity set according to the cost parameter and attribute parameter set of the supply commodity. In detail, referring to FIG. 4 , the calculation of the score of each supply commodity in the supply commodity set includes:

S31. Calculate the evaluation coefficient of each supplied commodity according to the attribute parameter set pre-selected by the user.

In the embodiment of the present invention, each attribute parameter in the attribute parameter set pre-selected by the user is multiplied by the corresponding preset attribute parameter weight to obtain the weight value of each attribute parameter; further, the user pre-selected The weight values corresponding to all the attribute parameters contained in the attribute parameter set of , are summed and calculated to obtain the evaluation coefficient of each supplied commodity. Wherein, the evaluation coefficient is used to measure the stability of the supplied commodities. The supply commodity is a mobile communication commodity as an example, the attribute parameters include two attribute parameters: delay time rate and supply failure rate, wherein the delay time rate is 0.2, and the preset attribute parameter weight of the delay time rate is 0.2, Therefore, the weight value of the delay time rate attribute parameter is 0.2*0.2; the supply failure rate is 0.05, and the default attribute parameter weight of the supply failure rate is 0.8, so the attribute parameter weight of the supply failure rate is 0.05*0.8. The evaluation coefficient of the supplied commodity is 0.2*0.2+0.05*0.8. Among them, the sum of the weights of each attribute parameter is 1.

S32. Calculate the cost coefficient of each supplied commodity according to the cost parameter.

In the embodiment of the present invention, the cost parameter of each supplied commodity and the preset cost parameter weight are multiplied to obtain the cost coefficient of each supplied commodity. The cost factor is used to measure the cost of supplying the commodity. The supply commodity is a mobile communication commodity as an example, the cost parameter is 10, the preset cost parameter coefficient of the cost parameter is 0.6, and the cost coefficient of the supply commodity is 0.6*10.

S33. Obtain a score of each supplied commodity according to the evaluation coefficient and cost coefficient of each supplied commodity.

In the embodiment of the present invention, the evaluation coefficient of each supply commodity is multiplied by the preset evaluation coefficient weight to obtain the evaluation coefficient weight value, and the evaluation coefficient weight value of each supply commodity is added to the cost coefficient to obtain the each supply commodity. The rating of the offered item. The sum of the evaluation coefficient weight and the cost parameter weight is 1.

The score can characterize the cost and stability of supplying goods.

Further, since each supply commodity has a cost parameter, the types of attribute parameters contained in the attribute parameter sets of different supply commodities may increase or decrease, and the types of attribute parameters required by users are different in different situations. Modifying the evaluation coefficient of each supply commodity, as shown in FIG. 5 , in another embodiment of the embodiment of the present invention, calculating the evaluation coefficient of each supply commodity according to the attribute parameter set pre-selected by the user, including:

S311. Convert the attribute value of the attribute parameter in the attribute parameter set preselected by the user and the corresponding attribute parameter weight into a value value, and convert the attribute name of the attribute parameter in the attribute parameter set preselected by the user into a key value.

In the embodiment of the present invention, the supply commodity is a mobile communication commodity as an example, and the attribute parameters include two attribute parameters: delay time rate and supply failure rate, wherein the delay time rate is 0.2, and the delay time rate is preset The attribute parameter weight is 0.2. Therefore, the key value of the delay time rate attribute parameter is: delay time rate. Preferably, use "|" to separate the delay time rate parameter value of 0.2 and the delay time rate attribute parameter weight of 0.2 to obtain the delay time. The value of the rate attribute parameter is: 0.2|0.2; the supply failure rate is 0.05, the preset attribute parameter weight of the supply failure rate is 0.8, and the key value of the supply failure rate attribute parameter is: supply failure rate, preferably, use " |" separates the supply failure rate parameter value of 0.05 and the supply failure rate attribute parameter weight of 0.8, and obtains the value of the supply failure rate attribute parameter: 0.05|0.8.

S312. Summarize all key values and value values to obtain an attribute parameter key-value set, and store the key-value set in a preset blank data table to obtain an attribute parameter data table.

S313. Obtain the evaluation coefficient of each supplied commodity according to each value in the attribute parameter data table.

Specifically, the product of two parameters included in each value in the attribute parameter data table is calculated to obtain the value product of each value. For example, if the value is 0.2|0.2, then the value product corresponding to the value is 0.2*0.2=0.04.

Further, the value value product corresponding to all the value values of the attribute parameter data table is added to obtain the evaluation coefficient of each supplied commodity.

Specifically, when the attribute parameter type is increased or decreased in the embodiment of the present invention, the data in the attribute parameter data table is directly increased or decreased, and the attribute parameter data table after the data increase or decrease can be directly called for calculating the evaluation coefficient, and there is no need to wait for the attribute parameter data table. After the parameter modification is completed, the product of the value values corresponding to all the value values in the attribute parameter data table after the data increase and decrease is added to obtain the evaluation coefficient of each supplied commodity, so as to realize the dynamic modification of the evaluation coefficient, so as to realize the dynamic evaluation of the score. Revise.

S4. Select the best supply commodity in the supply commodity set according to the score.

In the embodiment of the present invention, the score is obtained according to the evaluation coefficient and cost coefficient of each supplied commodity, wherein the cost coefficient represents the cost of the supplied commodity, and the lower the cost of the supplied commodity, the lower the cost coefficient; The evaluation coefficient represents the instability of the supplied commodity. The more stable the supplied commodity, the lower the evaluation coefficient. Therefore, the lower the score, the lower the cost of the supplied commodity and the more stable it is.

Further, in the embodiment of the present invention, the scores of each supply commodity in the supply commodity set are aggregated to obtain a score set; the scores in the score set are sorted to obtain the minimum score; The supply commodity corresponding to the minimum score is regarded as the optimal supply commodity.

The embodiment of the present invention builds an association relationship among products, supply commodities, and suppliers, parses the product selection instruction, and obtains a supply commodity set according to the association relationship. The embodiment of the present invention realizes the product, supply commodity, A unified interface between suppliers reduces the cost of DevOps. Further, the embodiment of the present invention calculates the score of each supply commodity in the supply commodity set according to the cost parameter of the product and the attribute parameter set preselected by the user. Since the attribute parameter set preselected by the user is dynamically adjustable, therefore The obtained ratings of the supplied goods are not fixed, which improves the user experience.

As shown in FIG. 6 , it is a schematic block diagram of the product selection device provided by the second embodiment of the present invention.

The product selection device 100 of the present invention can be installed in an electronic device. According to the realized functions, the product selection device may include an association relationship building module 101 , a selection instruction analysis module 102 , a score calculation module 103 , and an optimal product selection module 104 . The modules described in the present invention can also be called units, which refer to a series of computer program segments that can be executed by the electronic device processor and can perform fixed functions, and are stored in the memory of the electronic device.

In this embodiment, the functions of each module/unit are as follows:

An association relationship building module 101, used to build an association relationship between products, supply commodities, and suppliers;

a selection instruction parsing module 102, configured to parse a product selection instruction, and obtain a supply commodity set according to the association relationship;

A score calculation module 103, configured to calculate the score of each supply commodity in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set pre-selected by the user;

The optimal commodity selection module 104 is configured to select the optimal supply commodity in the supply commodity set according to the score.

The modules in the product selection device 100 provided by the present application can be used in the same way as the above-mentioned product selection method, in that the product selection instruction is parsed by constructing the association relationship between products, supply commodities and suppliers, and according to the association relationship Thereby, a supply commodity set is obtained; further, the score of each supply commodity in the supply commodity set is calculated according to the cost parameter of the product and the attribute parameter set pre-selected by the user, and the optimal supply in the supply commodity set is selected according to the score. commodity. Therefore, the modules in the product selection device 100 provided by the present application can achieve the same technical effects as the above-mentioned method embodiments during specific operation, that is, a unified interface among products, supply commodities, and suppliers is realized, and the development time is reduced. The cost of operation and maintenance, and the ability to dynamically adjust the score of the supplied goods, improve the user experience.

As shown in FIG. 7 , it is a schematic diagram of the internal structure of the electronic device for implementing the product selection method provided by the third embodiment of the present invention.

The electronic device 1 may include a processor 12, a memory 11 and a bus, and may also include a computer program, such as a product selection program 10, stored in the memory 11 and executable on the processor 12.

Wherein, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, magnetic disk, CD etc. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1 . In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a pluggable mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), etc. Further, the memory 11 may also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software installed in the electronic device 1 and various types of data, such as codes of product selection programs, etc., but also can be used to temporarily store data that has been output or will be output.

The processor 12 may be composed of integrated circuits in some embodiments, for example, may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits packaged with the same function or different functions, including one or more integrated circuits. Central processing unit (Central Processing Unit, CPU), microprocessor, digital processing chip, graphics processor and combination of various control chips, etc. The processor 12 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, by running or executing the program or module (for example, executing the program) stored in the memory 11. product selection program 10, etc.), and select data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

The bus may be a peripheral component interconnect (PCI for short) bus or an extended industry standard architecture (extended industry standard architecture, EISA for short) bus or the like. The bus can be divided into address bus, data bus, control bus and so on. The bus is configured to enable connection communication between the memory 11 and at least one processor 12 and the like.

FIG. 7 only shows an electronic device with components. Those skilled in the art can understand that the structure shown in FIG. 7 does not constitute a limitation on the electronic device 1, and may include fewer or more components than those shown in the figure. components, or a combination of certain components, or a different arrangement of components.

For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for powering the various components, preferably, the power source may be logically connected to the at least one processor 12 through a power management device, so that the power source can be managed by the power source. The device implements functions such as charge management, discharge management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and any other components. The electronic device 1 may further include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

Further, the electronic device 1 may also include a network interface, optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is usually used in the electronic device 1 Establish a communication connection with other electronic devices.

Optionally, the electronic device 1 may further include a user interface, and the user interface may be a display (Display), an input unit (eg, a keyboard (Keyboard)), optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, and the like. The display may also be appropriately called a display screen or a display unit, which is used for displaying information processed in the electronic device 1 and for displaying a visualized user interface.

It should be understood that the embodiments are only used for illustration, and are not limited by this structure in the scope of the patent application.

The product selection program 10 stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, the same technical implementation means as the above method item can be implemented, which is not repeated here. Repeat.

Further, if the modules/units integrated in the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable storage medium. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory) .

A product selection program is stored on the computer-readable storage medium, and the product selection program can be executed by one or more processors to achieve the following operations:

Build relationships between products, supply goods, and suppliers;

Parse the product selection instruction, and obtain the supply commodity set according to the association relationship;

Calculate the score of each supply commodity in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set pre-selected by the user;

According to the score, the best supply commodity in the supply commodity set is selected.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division manners in actual implementation.

The modules described as separate components may or may not be physically separated, and components shown as modules may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or can be implemented in the form of hardware plus software function modules.

It will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, but that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics of the invention.

Therefore, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the invention is to be defined by the appended claims rather than the foregoing description, which are therefore intended to fall within the scope of the claims. All changes within the meaning and range of the equivalents of , are included in the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim.

Furthermore, it is clear that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. Several units or means recited in the system claims can also be implemented by one unit or means by means of software or hardware. Second-class terms are used to denote names and do not denote any particular order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be Modifications or equivalent substitutions can be made without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. a product selection method, is characterized in that, described method comprises: Build relationships between products, supply goods, and suppliers; Parse the product selection instruction, and obtain the supply commodity set according to the association relationship; Calculate the score of each supply commodity in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set pre-selected by the user; According to the score, the best supply commodity in the supply commodity set is selected. 2 . The product selection method according to claim 1 , wherein the analyzing the product selection instruction, and obtaining the supply commodity set according to the association relationship, comprising: 2 . Parse the product selection instruction to obtain the product code; Use the product code to index the product; A supply commodity set corresponding to the product is determined according to the product and the association relationship. 3 . The product selection method according to claim 1 , wherein calculating each supply in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set pre-selected by the user. 4 . Product ratings, including: Calculate the evaluation coefficient of each supplied commodity according to the attribute parameter set pre-selected by the user; Calculate the cost coefficient of each supplied commodity according to the cost parameter; According to the evaluation coefficient and cost coefficient of each supplied commodity, the score of each supplied commodity is obtained. 4. The product selection method according to claim 3, wherein the calculating the evaluation coefficient of each supplied commodity according to the attribute parameter set pre-selected by the user comprises: Multiplying each attribute parameter in the attribute parameter set preselected by the user with the corresponding preset attribute parameter weight to obtain the weight value of each attribute parameter; According to the weight values of all attribute parameters included in the attribute parameter set pre-selected by the user, the evaluation coefficient of each supplied commodity is obtained. 5. The product selection method according to claim 3, wherein the calculating the evaluation coefficient of each supplied commodity according to the attribute parameter set preselected by the user comprises: Convert the attribute value of the attribute parameter in the attribute parameter set preselected by the user and the corresponding attribute parameter weight into a value value, and convert the attribute name of the attribute parameter in the attribute parameter set preselected by the user into a key value; Summarize all key values and value values to obtain a key-value set of attribute parameters, and store the key-value set in a preset blank data table to obtain an attribute parameter data table; According to each value in the attribute parameter data table, the evaluation coefficient of each supplied commodity is obtained. 6. The product selection method according to claim 3, wherein the calculating the cost coefficient of each supplied commodity according to the cost parameter comprises: Multiplying the cost parameter of each supplied commodity and the preset cost parameter weight to obtain the cost coefficient of each supplied commodity. 7. The product selection method according to claim 1, wherein the selecting the optimal supply commodity in the supply commodity set according to the score comprises: Aggregating the scores of each supply commodity in the supply commodity set to obtain a score set; Sort the scores in the score set to obtain the minimum score; In the supply commodity set, the supply commodity corresponding to the minimum score is selected as the optimal supply commodity. 8. A product selection device, characterized in that the device comprises: The relationship building module is used to build the relationship between products, supply goods, and suppliers; The selection instruction parsing module is used to parse the product selection instruction, and obtain the supply commodity set according to the association relationship; a score calculation module, configured to calculate the score of each supply commodity in the supply commodity set according to the cost parameter of each supply commodity in the supply commodity set and the attribute parameter set pre-selected by the user; An optimal commodity selection module, configured to select the optimal supply commodity in the supply commodity set according to the score. 9. An electronic device, characterized in that the electronic device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the execution of any one of claims 1 to 7 method of product selection. 10. A computer-readable storage medium storing a computer program, wherein the computer program implements the product selection method according to any one of claims 1 to 7 when the computer program is executed by a processor.

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