CN112016958B - Product selection method, device, electronic equipment and storage medium - Google Patents
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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 builds the association relationship among the product, the supplied commodity and the supplier; analyzing a product selection instruction, and obtaining a supply commodity set according to the association relation; calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the 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, electronic equipment and a computer readable storage medium. The embodiment of the invention reduces the cost of developing operation and maintenance, can realize dynamic modification of the product evaluation index and can improve the user experience.
Description
Technical Field
The embodiment of the invention relates to the technical field of IT application, in particular to a method, a device, electronic equipment and a storage medium for selecting products.
Background
With the development of society, there are more and more products or services that can be provided to users, and the same product or service may be provided by a plurality of different suppliers. For example, the network operation domain may provide a plurality of products and services such as traffic, telephone fees, short messages, etc. to users, and the suppliers that provide these products and services typically have an operator headquarters, provinces, third parties, upstream of third parties, etc.
The inventor finds that when providing a certain product or service for a user, the product providing platform needs to classify the product selection instruction first, and according to different classifications, the product selection instruction is analyzed by accessing different types of systems or APIs (Application Programming Interface, application program interfaces), so that the development operation and maintenance cost is increased for the platform; in addition, when selecting products or services for users, the products are mainly evaluated by using fixed product evaluation indexes, such as prices, wherein the product evaluation indexes are not easy to modify and the user experience is poor.
Disclosure of Invention
The embodiment of the invention aims to provide a product selection method, a device, electronic equipment and a storage medium, which can reduce the cost of developing operation and maintenance, dynamically modify product evaluation indexes and promote user experience.
In order to solve the above technical problems, an embodiment of the present invention provides a product selection method, including:
constructing association relations among products, supplied commodities and suppliers;
analyzing a product selection instruction, and obtaining a supply commodity set according to the association relation;
calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the user in advance;
and selecting the optimal supply commodity in the supply commodity set according to the scores.
In order to solve the above-mentioned problems, the present invention also provides a product selection device, the device comprising:
the association relation construction module is used for constructing association relations among products, supplied commodities and suppliers;
the selection instruction analysis module is used for analyzing the product selection instruction and obtaining a supply commodity set according to the association relation;
the scoring calculation module is used for calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the user in advance;
and the optimal commodity selection module is used for selecting the optimal supplied commodity in the supplied commodity set according to the grading.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
a memory storing at least one instruction; and
And a processor executing the instructions stored in the memory to implement the product selection method described above.
In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium having stored therein at least one instruction that is executed by a processor in an electronic device to implement the product selection method described above.
According to the embodiment of the invention, the association relation among the product, the supplied commodity and the supplier is constructed, the product selection instruction is analyzed, and the supplied commodity set is obtained according to the association relation. Further, according to the embodiment of the invention, the score of each supplied commodity in the supplied commodity set is calculated according to the cost parameter of the product and the attribute parameter set selected by the user in advance, and the obtained score of the supplied commodity is not fixed because the attribute parameter set can be dynamically adjusted according to the selection of the user, so that the user experience is improved.
Preferably, the analyzing the product selection instruction, according to the association relationship, obtains a supply commodity set, including:
analyzing the product selection instruction to obtain a product code;
indexing out a product by using the product code;
and determining a corresponding supplied commodity set according to the product and the association relation.
Preferably, the calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the user in advance includes:
calculating an evaluation coefficient of each supplied commodity according to the attribute parameter set selected by the user in advance;
calculating a cost coefficient of each supplied commodity according to the cost parameter;
and obtaining the score of each supplied commodity according to the evaluation coefficient and the cost coefficient of each supplied commodity.
Preferably, the calculating the evaluation coefficient of each supply commodity according to the attribute parameter set selected by the user in advance includes:
multiplying each attribute parameter in the attribute parameter set selected by the user in advance with a corresponding preset attribute parameter weight to obtain a weight value of each attribute parameter;
and obtaining the evaluation coefficient of each supplied commodity according to the weight values corresponding to all the attribute parameters contained in the attribute parameter set selected by the user in advance.
Preferably, the calculating the evaluation coefficient of each supply commodity according to the attribute parameter set selected by the user in advance further includes:
converting the attribute values of the attribute parameters in the attribute parameter set selected in advance by the user and the corresponding attribute parameter weights into value values, and converting the attribute names of the attribute parameters in the attribute parameter set selected in advance by the user into key values;
summarizing all key values and value values to obtain a key-value set of the attribute parameters, and storing the key-value set in a preset blank data table to obtain an attribute parameter data table;
and obtaining the evaluation coefficient of each supplied commodity according to each value in the attribute parameter data table.
According to the embodiment of the invention, the attribute parameters and the attribute parameter weights are stored in the form of key-value, the value is utilized to calculate the evaluation coefficient, and the evaluation coefficient can be changed only by changing the value when the attribute parameter characteristic variety is changed, so that the score is changed, the product evaluation and screening index is dynamically changed, and the flexibility of product selection is improved.
Preferably, said calculating a cost factor for each of said supplied goods based on said cost parameters comprises:
and multiplying the cost parameter of each supplied commodity by a preset cost parameter weight to obtain the cost coefficient of each supplied commodity.
Preferably, the selecting the optimal supply commodity in the supply commodity set according to the score includes:
summarizing the scores of each supplied commodity in the supplied commodity set to obtain an evaluation set;
sorting the scores in the evaluation set to obtain a minimum score;
and selecting the supply commodity corresponding to the minimum score from the supply commodity set as the optimal supply commodity.
In summary, the embodiment of the invention realizes the unified interface among the product, the supplied commodity and the supplier by constructing the association relationship among the product, the supplied commodity and the supplier, reduces the cost of developing operation and maintenance, dynamically selects and adjusts the attribute parameter set according to the requirement of the user, thereby changing the score, realizing the dynamic change of the product evaluation and screening index and improving the user experience.
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One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which the figures of the drawings are not to be taken in a limiting sense, unless otherwise indicated.
FIG. 1 is a schematic flow chart of a product selection method according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of the association relationship among a product, a product to be supplied and a supplier in the product selection method according to the first embodiment of the present invention;
FIG. 3 is a schematic diagram of a detailed implementation flow of a product selection method according to a first embodiment of the present invention;
FIG. 4 is a detailed flowchart of the product selection method according to the first embodiment of the present invention for calculating the score of each of the supplied goods;
FIG. 5 is a schematic diagram of a detailed implementation flow of calculating the evaluation coefficient of each supplied commodity in the product selection method according to the first embodiment of the present invention;
FIG. 6 is a schematic block diagram of a product selection device according to a second embodiment of the present invention;
fig. 7 is a schematic diagram of an internal structure of an electronic device for implementing a product selection method according to a third embodiment of the present invention;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the following detailed description of the embodiments of the present invention will be given with reference to the accompanying drawings. However, those of ordinary skill in the art will understand that in various embodiments of the present invention, numerous technical details have been set forth in order to provide a better understanding of the present application. However, the technical solutions claimed in the present application can be implemented without these technical details and with various changes and modifications based on the following embodiments.
The embodiment of the invention relates to a product selection method, which has the core of realizing uniform interfaces among products, supplied commodities and suppliers, reducing the cost of developing operation and maintenance, dynamically adjusting the scores of the supplied commodities and improving the user experience. The following specific details of implementation of product selection in this embodiment are provided only for easy understanding, and are not necessary for implementing this embodiment.
Referring to fig. 1, a flowchart of a product selection method according to a first embodiment of the present invention includes:
s1, building an association relationship among products, supplied commodities and suppliers.
The product may be a type of product provided by a product providing platform. Each product may include supply goods provided by a different vendor. For example, referring to fig. 2, a product provided by a product providing platform may include a 10M traffic packet, a telephone fee packet, and a sms packet. Wherein, the 10M flow package is a supply commodity which is provided by a 10M flow package 1 provided by a supplier A, a 10M flow package 2 provided by a supplier B and a 10M flow package 3 provided by a supplier C; similarly, the platform product of the telephone fee package can comprise a telephone fee package 2 provided by a provider A and a telephone fee package 1 provided by a provider B; etc.
According to one embodiment of the invention, the association relationship among the product, the supplied commodity and the supplier can be established through the product code.
S2, analyzing the product selection instruction, and obtaining a supply commodity set according to the association relation.
In one embodiment of the present invention, the product selection instruction is generated when a user selects to order a certain product and inputs a product code of the product on a preset product providing platform. The product code may be obtained from an order database of the platform.
In detail, referring to fig. 3, according to the embodiment of the present invention, resolving a product selection instruction, obtaining a supply commodity set according to the association relationship includes:
s21, analyzing the product selection instruction to obtain a product code.
S22, indexing out the product by using the product code.
In the embodiment of the invention, different product codes correspond to different products, and the product codes and the products are in one-to-one correspondence, so that the embodiment of the invention can utilize the product codes to index out the products according to the preset product codes and the corresponding relations of the products. For example: a certain mobile phone communication product providing platform comprises three products, namely a 10M flow packet, a 50M flow packet and a 100M flow packet, wherein the 10M flow packet product code is '001', the 50M flow packet product code is '002', and the 100M flow packet product code is '003'. When the product code in the user selection instruction is 001, the product corresponding to the product code can be indexed to be a 10M flow packet according to the preset product code and the corresponding relation of the product.
S23, determining a corresponding supplied commodity set according to the product and the association relation.
As described above, the association relationship is an association relationship among products, supplied goods and suppliers, and the association relationship is established by a product code, so that the embodiment of the invention can determine the supplied goods supplied by all suppliers according to the products and the association relationship to obtain a supplied goods set.
In one embodiment of the present invention, in order to ensure the rationality of the supplied goods corresponding to the product, the supplied goods may be screened by using a preset quota, and the supplied goods meeting the quota may be summarized to obtain the supplied goods set. The limit is a hard requirement of the product and can be flexibly set by a user according to the actual situation of the user. For example, the hardness requirement of the product is more than 0.5% of the profit margin of the product. For example: the mobile phone communication product providing platform is provided with three products of 10M flow packages, 50M flow packages and 100M flow packages, wherein the 10M flow packages comprise the supplied goods provided by three suppliers of A, B, C, when a user selects the ordered product as the 10M flow packages, the supplied goods corresponding to the ordered product selected by the user are confirmed accordingly, namely the supplied goods of the three 10M flow packages provided by the three suppliers of A, B, C are further screened by utilizing preset limits, the supplied goods profit rate provided by the supplier A is found to be too low and does not meet the requirement of the enterprise on the product profit rate of more than 0.5%, therefore, the supplied goods of the 10M flow packages provided by only two suppliers of B, C finally meet the limit requirement are summarized to obtain a supplied goods set.
And S3, calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the user in advance.
In the embodiment of the invention, the supplied commodity comprises a cost parameter and an attribute parameter set, wherein the cost parameter is the cost of the supplied commodity, and the attribute parameter set is a set of instability attributes of the supplied commodity. The kind of the unstable attribute of the supplied commodity can gradually change according to the use environment of the supplied commodity or the kind of the supplied commodity, so that a user can select one or more attribute parameters from the attribute parameter set in advance according to actual situations or needs. Taking the mobile phone communication commodity as an example, the attribute parameter set may include: delay time rate, failure rate of supply, etc.
Further, the supply commodity set includes a plurality of supply commodities, but in the embodiment of the present invention, an optimal supply commodity is finally selected as a supply commodity of a product, so that the supply commodities in the supply commodity set need to be screened. The embodiment of the invention utilizes the score of each supplied commodity in the supplied commodity set to screen the commodities in the supplied commodity set.
In detail, the cost parameter and the attribute parameter set are important evaluation factors of the supplied commodities, so that the embodiment of the invention calculates the score of each supplied commodity in the supplied commodity set according to the cost parameter and the attribute parameter set of the supplied commodity. In detail, referring to fig. 4, the calculating the score of each supply commodity in the supply commodity set includes:
s31, calculating the evaluation coefficient of each supplied commodity according to the attribute parameter set selected by the user in advance.
According to the embodiment of the invention, each attribute parameter in the attribute parameter set selected in advance by the user is multiplied by the corresponding preset attribute parameter weight to obtain the weight value of each attribute parameter; and further, carrying out summation calculation on the weight values corresponding to all the attribute parameters contained in the attribute parameter set selected by the user in advance to obtain the evaluation coefficient of each supplied commodity. Wherein the evaluation factor is used to measure the stability of the supplied commodity. Taking a certain mobile phone communication commodity as an example, the attribute parameters include: the delay time rate and the 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, so that the weight value of the attribute parameter of the delay time rate is 0.2 x 0.2; the supply failure rate is 0.05, and the preset attribute parameter weight of the supply failure rate is 0.8, so that the attribute parameter weight of the supply failure rate is 0.05×0.8. The evaluation coefficient of the supplied commodity is 0.2 x 0.2+0.05 x 0.8. Wherein the sum of the weights of all attribute parameters is 1.
S32, calculating the cost coefficient of each supplied commodity according to the cost parameter.
The embodiment of the invention multiplies the cost parameter of each supplied commodity and the preset cost parameter weight to obtain the cost coefficient of each supplied commodity. The cost factor is used to measure the cost of supplying the commodity. Taking a certain mobile phone 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 supplied commodity is 0.6x10.
S33, obtaining the score of each supplied commodity according to the evaluation coefficient and the cost coefficient of each supplied commodity.
The embodiment of the invention multiplies the evaluation coefficient of each supplied commodity by a preset evaluation coefficient weight to obtain an evaluation coefficient weight value, and adds the evaluation coefficient weight value of each supplied commodity to the cost coefficient to obtain the score of each supplied commodity. Wherein the sum of the evaluation coefficient weight and the cost parameter weight is 1.
The score may characterize the cost and stability of the offered goods.
Further, since each of the supplied commodities has a cost parameter, but the attribute parameter types included in the attribute parameter sets of different supplied commodities may increase or decrease, and the attribute parameter types required by the users are different in different situations, in order to facilitate dynamic modification of the evaluation coefficient of each of the supplied commodities, referring to fig. 5, in another embodiment of the present invention, the calculation of the evaluation coefficient of each of the supplied commodities according to the attribute parameter set preselected by the users includes:
s311, converting the attribute values of the attribute parameters in the attribute parameter set selected in advance by the user and the corresponding attribute parameter weights into value values, and converting the attribute names of the attribute parameters in the attribute parameter set selected in advance by the user into key values.
In the embodiment of the present invention, the provisioning commodity is exemplified by a certain mobile phone communication commodity, and the attribute parameters include: the delay time rate and the 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, so that the key value of the attribute parameter of the delay time rate is: preferably, the delay time rate is separated by using "|" to obtain a value of the delay time rate attribute parameter, wherein the value is as follows: 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 attribute parameter of the supply failure rate is: preferably, the value of the supply failure rate attribute parameter is obtained by separating the value 0.05 of the supply failure rate parameter and the attribute parameter weight 0.8 of the supply failure rate by using "|": 0.05|0.8.
S312, summarizing all key values and value values to obtain an attribute parameter key-value set, and storing the key-value set in a preset blank data table to obtain an attribute parameter data table.
S313, according to each value in the attribute parameter data table, obtaining the evaluation coefficient of each supplied commodity.
In detail, calculating the product of two parameters contained in each value in the attribute parameter data table obtains the value product of each value. For example: the value is 0.2|0.2, and the value product corresponding to the value is 0.2x0.2=0.04.
Further, the value products corresponding to all the value values of the attribute parameter data table are added to obtain the evaluation coefficient of each supplied commodity.
Specifically, when the attribute parameter types are increased or decreased, the data in the attribute parameter data table is directly increased or decreased, the attribute parameter data table after the data increase or decrease can be directly called by calculating the evaluation coefficient, the completion of attribute parameter modification is not required to be waited, the evaluation coefficient of each supplied commodity is obtained by adding the value products corresponding to all the value values in the attribute parameter data table after the data increase or decrease, and the dynamic modification of the evaluation coefficient is realized, so that the dynamic modification of the grading is realized.
And S4, selecting the optimal supply commodity in the supply commodity set according to the scores.
The scoring in the embodiment of the invention is obtained according to the evaluation coefficient and the 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 is, the lower the cost coefficient is; the evaluation coefficient characterizes the instability of the supplied commodity, the more stable the supplied commodity, the lower the evaluation coefficient, and therefore the lower the score, the lower the cost of the supplied commodity, the more stable.
Further, the embodiment of the invention gathers the scores of each supplied commodity in the supplied commodity set to obtain an evaluation set; sorting the scores in the evaluation set to obtain a minimum score; and selecting the supply commodity corresponding to the minimum score from the supply commodity set as the optimal supply commodity.
According to the embodiment of the invention, the association relation among the product, the supplied commodity and the supplier is constructed, the product selection instruction is analyzed, and the supplied commodity set is obtained according to the association relation. Further, according to the embodiment of the invention, the score of each supplied commodity in the supplied commodity set is calculated according to the cost parameter of the product and the attribute parameter set preselected by the user, and the obtained score of the supplied commodity is not fixed because the attribute parameter set preselected by the user is dynamically adjustable, so that the user experience is improved.
Fig. 6 is a schematic block diagram of a product selecting device according to a second embodiment of the present invention.
The product selection device 100 of the present invention may be installed in an electronic apparatus. The product selection device may include an association relationship construction module 101, a selection instruction analysis module 102, a score calculation module 103, and an optimal commodity selection module 104 according to the implemented functions. The module of the present invention may also be referred to as a unit, meaning a series of computer program segments capable of being executed by the processor of the electronic device and of performing fixed functions, stored in the memory of the electronic device.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the association relation construction module 101 is used for constructing association relation among products, supplied goods and suppliers;
the selection instruction parsing module 102 is configured to parse a product selection instruction, and obtain a supply commodity set according to the association relationship;
a score calculating module 103, configured to calculate a score of each supplied commodity in the supplied commodity set according to a cost parameter of each supplied commodity in the supplied commodity set and a attribute parameter set selected in advance by a user;
and an optimal commodity selection module 104, configured to select an optimal supply commodity in the supply commodity set according to the score.
The module in the product selection device 100 provided by the application can be the same as the product selection method, in that the product selection instruction is analyzed by constructing the association relationship among the product, the supplied commodity and the supplier, and the supplied commodity set is obtained according to the association relationship; further, a score of each supplied commodity in the supplied commodity set is calculated according to the cost parameter of the product and the attribute parameter set selected by the user in advance, and the optimal supplied commodity in the supplied commodity set is selected according to the score. Therefore, the modules in the product selection device 100 provided by the application can achieve the same technical effects as those of the method embodiments during specific operation, namely, the unified interfaces among products, supplied commodities and suppliers are realized, the cost of development and operation and maintenance is reduced, the scores of the supplied commodities can be dynamically adjusted, and the user experience is improved.
Fig. 7 is a schematic diagram showing an internal structure of an electronic device for implementing a product selection method according to a third embodiment of the present invention.
The electronic device 1 may comprise a processor 12, a memory 11 and a bus, and may further comprise a computer program, such as a product selection program 10, stored in the memory 11 and executable on the processor 12.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of product selection programs, but also for temporarily storing data that has been output or is to be output.
The processor 12 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 12 is a Control Unit (Control Unit) of the electronic device, connects respective parts of the entire electronic device using various interfaces and lines, and executes various functions of the electronic device 1 and processes data by running or executing programs or modules stored in the memory 11 (for example, executing the product selection program 10, etc.), and selecting data stored in the memory 11.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 12 etc.
Fig. 7 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 7 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further comprise a power source (such as a battery) for powering the respective components, and the power source may be logically connected to the at least one processor 12 through a power management device, so as to perform functions of charge management, discharge management, and power consumption management through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, 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) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The product selection program 10 stored in the memory 11 of the electronic device 1 is a combination of a plurality of instructions, and when running in the processor 10, the same technical implementation means as the above method items may be implemented, which is not described herein again.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. 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).
The computer-readable storage medium has stored thereon a product selection program executable by one or more processors to perform operations comprising:
constructing association relations among products, supplied commodities and suppliers;
analyzing a product selection instruction, and obtaining a supply commodity set according to the association relation;
calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the user in advance;
and selecting the optimal supply commodity in the supply commodity set according to the scores.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (7)
1. A method of product selection, the method comprising:
constructing association relations among products, supplied commodities and suppliers;
analyzing a product selection instruction, and obtaining a supply commodity set according to the association relation; the supplied commodities in the supplied commodity set are supplied commodities with profit margin larger than a preset threshold value;
calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the user in advance;
selecting an optimal supply commodity in the supply commodity set according to the scores;
wherein the calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the user in advance comprises:
calculating an evaluation coefficient of each supplied commodity according to the attribute parameter set selected by the user in advance;
calculating a cost coefficient of each supplied commodity according to the cost parameter;
obtaining the score of each supplied commodity according to the evaluation coefficient and the cost coefficient of each supplied commodity;
wherein the product is one or any combination of the following:
flow packet, short message packet and telephone fee packet;
the calculating the evaluation coefficient of each supplied commodity according to the attribute parameter set selected by the user in advance comprises the following steps:
converting the attribute values of the attribute parameters in the attribute parameter set selected in advance by the user and the corresponding attribute parameter weights into value values, and converting the attribute names of the attribute parameters in the attribute parameter set selected in advance by the user into key values;
summarizing all key values and value values to obtain a key-value set of the attribute parameters, and storing the key-value set in a preset blank data table to obtain an attribute parameter data table;
obtaining an evaluation coefficient of each supplied commodity according to each value in the attribute parameter data table;
the selecting the optimal supply commodity in the supply commodity set according to the scores comprises the following steps:
summarizing the scores of each supplied commodity in the supplied commodity set to obtain an evaluation set;
sorting the scores in the evaluation set to obtain a minimum score;
and selecting the supply commodity corresponding to the minimum score from the supply commodity set as the optimal supply commodity.
2. The product selection method according to claim 1, wherein the parsing the product selection instruction, obtaining a supply commodity set according to the association relation, includes:
analyzing the product selection instruction to obtain a product code;
indexing out the product using the product code;
and determining a supply commodity set corresponding to the product according to the product and the association relation.
3. The product selection method as recited in claim 1, wherein said calculating an evaluation coefficient for each of said supplied goods from said set of attribute parameters selected in advance by said user comprises:
multiplying each attribute parameter in the attribute parameter set selected by the user in advance with a corresponding preset attribute parameter weight to obtain a weight value of each attribute parameter;
and obtaining the evaluation coefficient of each supplied commodity according to the weight values of all attribute parameters contained in the attribute parameter set selected by the user in advance.
4. The product selection method as recited in claim 1, wherein said calculating a cost factor for each of said offered goods based on said cost parameter comprises:
and multiplying the cost parameter of each supplied commodity by a preset cost parameter weight to obtain the cost coefficient of each supplied commodity.
5. A product selection device, the device comprising:
the association relation construction module is used for constructing association relations among products, supplied commodities and suppliers;
wherein the product is one or any combination of the following:
flow packet, short message packet and telephone fee packet;
the selection instruction analysis module is used for analyzing the product selection instruction and obtaining a supply commodity set according to the association relation; the supplied commodities in the supplied commodity set are supplied commodities with profit margin larger than a preset threshold value;
the scoring calculation module is used for calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the user in advance;
wherein the calculating the score of each supplied commodity in the supplied commodity set according to the cost parameter of each supplied commodity in the supplied commodity set and the attribute parameter set selected by the user in advance comprises:
calculating an evaluation coefficient of each supplied commodity according to the attribute parameter set selected by the user in advance;
calculating a cost coefficient of each supplied commodity according to the cost parameter;
obtaining the score of each supplied commodity according to the evaluation coefficient and the cost coefficient of each supplied commodity;
the optimal commodity selection module is used for selecting optimal supplied commodities in the supplied commodity set according to the scores;
the calculating the evaluation coefficient of each supplied commodity according to the attribute parameter set selected by the user in advance comprises the following steps:
converting the attribute values of the attribute parameters in the attribute parameter set selected in advance by the user and the corresponding attribute parameter weights into value values, and converting the attribute names of the attribute parameters in the attribute parameter set selected in advance by the user into key values;
summarizing all key values and value values to obtain a key-value set of the attribute parameters, and storing the key-value set in a preset blank data table to obtain an attribute parameter data table;
obtaining an evaluation coefficient of each supplied commodity according to each value in the attribute parameter data table;
the selecting the optimal supply commodity in the supply commodity set according to the scores comprises the following steps:
summarizing the scores of each supplied commodity in the supplied commodity set to obtain an evaluation set;
sorting the scores in the evaluation set to obtain a minimum score;
and selecting the supply commodity corresponding to the minimum score from the supply commodity set as the optimal supply commodity.
6. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the product selection method of any one of claims 1 to 4.
7. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the product selection method according to any one of claims 1 to 4.
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