CN111199437A - Data processing method and device - Google Patents
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Abstract
The invention discloses a data processing method and device, and relates to the technical field of computers. One embodiment of the method comprises: analyzing the input commodity information to obtain attribute information of a given commodity; searching a matching rule corresponding to attribute information of the given commodity from a rule set according to a preset priority, wherein the matching rule comprises an attribute value or a matching relation between an attribute value interval and specific data; and configuring the matching data of the given commodity according to the matching relation between the attribute value or the attribute value interval and the specific data. The implementation method can automatically configure the matching data of all commodities, reduce the manual workload and improve the data processing efficiency.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a data processing method and apparatus.
Background
In some data processing scenarios, some data matching with the commodity needs to be configured, for example, in a commodity billing scenario, a matched piece type needs to be configured for the commodity, so as to bill the commodity according to the matched piece type. The part type mainly comprises free, oversized parts, oversized half parts, large half parts, middle half parts, small parts, ultra-small parts, special parts and mattress commodities. The existing charging mode judges the part type according to manual experience, each new SKU (stock keeping unit) needs to be configured manually, relevant personnel are needed to verify the part type before the commodity is put in storage each time, and the commodity cannot be put in storage if the verification is not carried out, so that final settlement is influenced.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
the existing scheme only depends on matching data of the commodities configured manually, the workload is huge, and the data processing efficiency is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide a data processing method and apparatus, which can automatically configure matching data of all commodities, reduce manual workload, and improve data processing efficiency.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a data processing method.
A method of data processing, comprising: analyzing the input commodity information to obtain attribute information of a given commodity; searching a matching rule corresponding to attribute information of the given commodity from a rule set according to a preset priority, wherein the matching rule comprises an attribute value or a matching relation between an attribute value interval and specific data; and configuring the matching data of the given commodity according to the matching relation between the attribute value or the attribute value interval and the specific data.
Optionally, the attribute information of the given commodity includes an extended attribute, a basic attribute, and a category of the given commodity, and the step of searching for a matching rule corresponding to one attribute information of the given commodity from a rule set according to a preset priority includes: preferentially searching a matching rule with the highest priority according to the priorities of a first matching rule corresponding to the extended attribute of the given commodity, a second matching rule corresponding to the basic attribute of the given commodity and a third matching rule corresponding to the category of the given commodity in the rule set; under the condition that the matching rule with the highest priority is not found, continuously searching a matching rule with the second priority; and under the condition that the matching rule with the second priority is not found, finally, the matching rule with the lowest priority is found.
Optionally, the attribute information of the given commodity includes an extended attribute, a basic attribute, and a category of the given commodity, and the step of searching for a matching rule corresponding to one attribute information of the given commodity from a rule set according to a preset priority includes: searching a third matching rule corresponding to the category of the given commodity from a rule set; under the condition that the third matching rule comprises the extended attribute or the basic attribute of the given commodity, continuously searching for a first matching rule corresponding to the extended attribute or a second matching rule corresponding to the basic attribute; and under the condition that the third matching rule comprises both the extended attribute and the basic attribute of the given commodity, continuously searching for one matching rule with a higher priority in the two matching rules according to the priorities of the first matching rule and the second matching rule.
Optionally, the step of configuring matching data of the given product according to a matching relationship between the attribute value or the attribute value interval and specific data includes: comparing the extended attribute value of the given commodity with the attribute value in the first matching rule under the condition that the finally found matching rule is the first matching rule; configuring specific data matched with the attribute value consistent with the extended attribute value of the given commodity as matching data of the given commodity; under the condition that the finally found matching rule is the second matching rule, according to the matching relation between the attribute value interval in the second matching rule and the specific data, specific data matched with the attribute value interval in which the basic attribute value of the given commodity is located is found, and the matched specific data is configured as the matching data of the given commodity; and under the condition that the finally found matching rule is the third matching rule, configuring the specific data matched with the category of the given commodity as the matching data of the given commodity according to the matching relation between the category in the third matching rule and the specific data.
According to another aspect of the embodiments of the present invention, there is provided a data processing apparatus.
A data processing apparatus comprising: the information analysis module is used for analyzing the input commodity information to obtain attribute information of a given commodity; the rule searching module is used for searching a matching rule corresponding to the attribute information of the given commodity from a rule set according to a preset priority, wherein the matching rule comprises an attribute value or a matching relation between an attribute value interval and specific data; and the data configuration module is used for configuring the matching data of the given commodity according to the matching relation between the attribute value or the attribute value interval and the specific data.
Optionally, the attribute information of the given commodity includes an extended attribute, a basic attribute, and a category of the given commodity, and the rule lookup module is further configured to: preferentially searching a matching rule with the highest priority according to the priorities of a first matching rule corresponding to the extended attribute of the given commodity, a second matching rule corresponding to the basic attribute of the given commodity and a third matching rule corresponding to the category of the given commodity in the rule set; under the condition that the matching rule with the highest priority is not found, continuously searching a matching rule with the second priority; and under the condition that the matching rule with the second priority is not found, finally, the matching rule with the lowest priority is found.
Optionally, the attribute information of the given commodity includes an extended attribute, a basic attribute, and a category of the given commodity, and the rule lookup module is further configured to: searching a third matching rule corresponding to the category of the given commodity from a rule set; under the condition that the third matching rule comprises the extended attribute or the basic attribute of the given commodity, continuously searching for a first matching rule corresponding to the extended attribute or a second matching rule corresponding to the basic attribute; and under the condition that the third matching rule comprises both the extended attribute and the basic attribute of the given commodity, continuously searching for one matching rule with a higher priority in the two matching rules according to the priorities of the first matching rule and the second matching rule.
Optionally, the data configuration module is further configured to: comparing the extended attribute value of the given commodity with the attribute value in the first matching rule under the condition that the finally found matching rule is the first matching rule; configuring specific data matched with the attribute value consistent with the extended attribute value of the given commodity as matching data of the given commodity; under the condition that the finally found matching rule is the second matching rule, according to the matching relation between the attribute value interval in the second matching rule and the specific data, specific data matched with the attribute value interval in which the basic attribute value of the given commodity is located is found, and the matched specific data is configured as the matching data of the given commodity; and under the condition that the finally found matching rule is the third matching rule, configuring the specific data matched with the category of the given commodity as the matching data of the given commodity according to the matching relation between the category in the third matching rule and the specific data.
According to yet another aspect of an embodiment of the present invention, an electronic device is provided.
An electronic device, comprising: one or more processors; a memory for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the data processing method provided by the present invention.
According to yet another aspect of an embodiment of the present invention, a computer-readable medium is provided.
A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the data processing method provided by the invention.
One embodiment of the above invention has the following advantages or benefits: according to the preset priority, searching a matching rule corresponding to attribute information of a given commodity from a rule set, wherein the matching rule comprises an attribute value or a matching relation between an attribute value interval and specific data; and configuring the matching data of the given commodity according to the finally found matching relationship between the attribute value or the attribute value interval and the specific data in the matching rule. The matching data of all commodities can be automatically configured, the manual workload is reduced, and the data processing efficiency is improved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
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The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic flow chart of data processing according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of data processing according to a second embodiment of the present invention;
FIG. 3 is a schematic flow chart of data processing according to a third embodiment of the present invention;
FIG. 4 is a schematic flow chart of data processing according to a fourth embodiment of the present invention;
FIG. 5 is a schematic diagram of the main blocks of a data processing apparatus according to a fifth embodiment of the present invention;
FIG. 6 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 7 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
The data processing method provided by the invention mainly comprises the following steps:
analyzing the input commodity information to obtain attribute information of a given commodity;
searching a matching rule corresponding to attribute information of a given commodity from a rule set according to a preset priority, wherein the matching rule comprises an attribute value or a matching relation between an attribute value interval and specific data;
and configuring the matching data of the given commodity according to the finally found matching relationship between the attribute value or the attribute value interval and the specific data in the matching rule.
The invention is suitable for various data processing scenes needing to configure matched specific data for the commodities, for example, in a commodity charging scene, the configuration of commodity part types is carried out so as to charge the commodities according to the configured part types.
The following describes the data processing method provided by the present invention in detail by taking a scenario of commodity part type configuration as an example. In a scenario of configuring a commodity type, the matching rule may be a type matching rule, and the specific data matched with the commodity configuration is the type of the configured commodity, for example, for a given commodity, the matching data of the given commodity is configured according to the finally found matching relationship between the attribute value or the attribute value interval in the matching rule and the specific data, that is: and configuring the part type of the given commodity according to the finally found attribute value or the matching relation between the attribute value interval and the part type in the part type matching rule.
The data processing method of the embodiment of the invention is a commodity type configuration method in a commodity type configuration scene, and the data processing method mainly comprises the following steps:
analyzing the input commodity information to obtain attribute information of a given commodity;
according to the preset priority, searching a part type matching rule corresponding to one attribute information of a given commodity from the rule set, wherein the part type matching rule comprises an attribute value or a matching relation between an attribute value interval and a part type;
and configuring the part type of the given commodity according to the finally found matching relationship between the attribute value or the attribute value interval and the specific data in the part type matching rule.
The attribute information of the given commodity can comprise the extended attribute, the basic attribute and the category of the given commodity, and the data can be obtained from basic data of the commodity. The extended attribute represents an attribute of further subdividing the commodity on the basis of the existing classification of the commodity, and can also be called a special attribute of the commodity. Different commodity classes have their own special extended attributes. For example, the air conditioners may be classified into a central air conditioner, a wall-mounted air conditioner, a cabinet air conditioner, and the like, and the air conditioners may be classified into different numbers, wherein 1, two, and the like, of the central air conditioner, the wall-mounted air conditioner, the cabinet air conditioner, and the like, belong to the expansion attribute of the air conditioners; the basic attributes are attributes that are common to commercial products, such as length, width, height, volume, weight, and the like.
The rule set is a set of multiple part type matching rules, and the part type matching rules of the embodiment of the invention take three types as examples: the method comprises the steps of obtaining a first type matching rule corresponding to the extended attribute of the given commodity, a second type matching rule corresponding to the basic attribute of the given commodity, and a third type matching rule corresponding to the category of the given commodity. The type of the given commodity can be configured according to any type of type matching rule, wherein the priority of various type matching rules can be set, and the type matching rule with the highest priority is searched preferentially when the type matching rule is searched.
The data processing method according to the embodiment of the present invention is specifically described in the following first embodiment and second embodiment.
Fig. 1 is a schematic flow chart of data processing according to a first embodiment of the present invention.
As shown in fig. 1, the data processing flow of the first embodiment of the present invention mainly includes steps S101 to S103 as follows.
In the rule set of this embodiment, a first type matching rule, a second type matching rule, and a third type matching rule are defined respectively.
Step S101: the input commodity information is analyzed to obtain attribute information of the given commodity.
The attribute information may be obtained by analyzing input commodity information, for example, for a certain commodity air conditioner K, the input commodity information includes basic data of the air conditioner K, and the attribute information of the air conditioner K is obtained by analyzing the basic data of the air conditioner K.
Step S102: and searching the piece type matching rule corresponding to the attribute information of the given commodity according to the priority of the first piece type matching rule corresponding to the extended attribute of the given commodity, the second piece type matching rule corresponding to the basic attribute of the given commodity and the third piece type matching rule corresponding to the category of the given commodity in the rule set.
The priorities of the first type matching rule, the second type matching rule and the third type matching rule can be set according to business needs, the rule of the type matching can be flexibly adjusted according to the business needs, and the type of a given commodity can be automatically configured. The first type matching rule specifies the corresponding relation (corresponding relation or matching relation) between the extended attribute of the commodity and the type; the second piece type matching rule specifies the corresponding relation between the basic attribute of the commodity and the piece type; the third piece-type matching rule specifies a correspondence between the category of the commodity and the piece type.
Wherein, a part type matching rule with the highest priority is searched preferentially; under the condition that the part type matching rule with the highest priority is not found, continuously searching a part type matching rule with the next priority; and under the condition that the part type matching rule with the second priority is not found, finally, the part type matching rule with the lowest priority is found.
For example, if a wall-mounted 1.5-piece air conditioner K with a certain length, width and height is preset with a first piece of matching rule with the highest priority, a second piece of matching rule with the second priority and a third piece of matching rule with the lowest priority, the first piece of matching rule is searched preferentially to determine the piece type of the air conditioner K according to the wall-mounted 1.5-piece expansion attributes; under the condition that the first type matching rule is not found, a second type matching rule is found to determine the type of the air conditioner K according to the length, the width and the height; and if neither the first type matching rule nor the second type matching rule is found, searching a third type matching rule so as to determine the type of the air conditioner K according to the type of the air conditioner. The information of the extended attribute, the basic attribute, and the category of the air conditioner K is attribute information of the air conditioner K.
Step S103: and configuring the part type of the given commodity according to the finally found attribute value or the matching relation between the attribute value interval and the part type in the part type matching rule.
Comparing the extended attribute value of the given commodity with the attribute value in the first type matching rule under the condition that the finally found type matching rule is the first type matching rule; and configuring the piece type matched with the attribute value consistent with the extended attribute value of the given commodity as the piece type of the given commodity.
And under the condition that the finally found piece type matching rule is the second piece type matching rule, finding the piece type matched with the attribute value interval in which the basic attribute value of the given commodity is located according to the matching relation between the attribute value interval and the piece type in the second piece type matching rule, and configuring the piece type into the piece type of the given commodity.
And under the condition that the finally found piece type matching rule is a third piece type matching rule, configuring the piece type matched with the type of the given commodity into the piece type of the given commodity according to the matching relation between the type and the piece type in the third piece type matching rule.
Fig. 2 is a schematic flow chart of data processing according to a second embodiment of the invention.
The data processing flow of the second embodiment of the present invention mainly includes steps S201 to S204 as follows.
In the rule set in this embodiment, the first piece of type matching rule and the second piece of type matching rule are defined in a third piece of type matching rule, and the third piece of type matching rule may be defined in a piece type rule list of the lowest-level classification existing in the commodity. For example, if the air conditioner is classified into a household appliance at one stage, a large household appliance at the second stage, and an air conditioner at the third stage, a first piece of matching rule and a second piece of matching rule are defined under the third stage (air conditioner), that is, the corresponding relationship between each extended attribute and each piece of type and the corresponding relationship between each basic attribute and each piece of type under the third stage (air conditioner).
Step S201: the input commodity information is analyzed to obtain attribute information of the given commodity.
Step S202: a third type of matching rule corresponding to the category of the given item is looked up from the rule set.
The first type matching rule and the second type matching rule are defined in the third type matching rule in the rule set, so that the searching priority of the third type matching rule is highest, and the third type matching rule needs to be searched first. Assuming that the given commodity is a wall-mounted 1.5-piece air conditioner K with a certain length, width and height, according to the present embodiment, a third piece of type matching rule is first searched to obtain a correspondence between the three-level classification (air conditioner) and the piece type of the given commodity.
Step S203: and under the condition that the third piece of matching rule comprises the extended attribute or the basic attribute of the given commodity, continuously searching for the first piece of matching rule corresponding to the extended attribute or the second piece of matching rule corresponding to the basic attribute.
And under the condition that the third piece of matching rule comprises both the extended attribute and the basic attribute of the given commodity, continuously searching one piece of matching rule with higher priority in the two piece of matching rules according to the priorities of the first piece of matching rule and the second piece of matching rule.
In this embodiment, a part type matching rule corresponding to the category of the given commodity is preferentially searched, for example, a three-level classification part type matching rule of the given commodity W is searched, if the three-level classification part type matching rule of W includes the extended attribute of W, a part type matching rule corresponding to the extended attribute of W is continuously searched, and a part type of W is configured according to the part type matching rule corresponding to the extended attribute; similarly, if the three-level classification element matching rule of W comprises the basic attribute of W, continuing to search the element matching rule corresponding to the basic attribute of W, and configuring the element of W according to the element matching rule corresponding to the basic attribute; if the three-level classification element type matching rule of W comprises the extended attribute of W and the basic attribute of W, judging which priority of the first element type matching rule and the second element type matching rule is higher, and configuring the element type of W according to the element type matching rule with the higher priority. With reference to the above example of the wall-mounted 1.5-piece air conditioner K having a certain length, width, and height, it is determined whether or not the correspondence relationship between the three-level classification (air conditioner) and the piece type includes: the air conditioner K comprises a wall-mounted type, 1.5 pieces of air conditioners and the length, the width and the height, if the corresponding relation comprises the wall-mounted type and the 1.5 pieces of air conditioners, the first type matching rule is continuously searched to determine the type corresponding to the wall-mounted type and the 1.5 pieces of air conditioners K; if the corresponding relation comprises the length, the width and the height, continuously searching a second piece type matching rule to obtain a piece type corresponding to the air conditioner K with the length, the width and the height; if the correspondence includes both wall-hanging type, 1.5 pieces, and the length, width and height, the shape is determined according to the higher priority of the first shape matching rule and the second shape matching rule, for example, if the priority of the first shape matching rule is higher, the shape of the air conditioner K is configured according to the wall-hanging type, 1.5 pieces.
Step S204: and configuring the part type of the given commodity according to the finally found attribute value or the matching relation between the attribute value interval and the part type in the part type matching rule.
Comparing the extended attribute value of the given commodity with the attribute value in the first type matching rule under the condition that the finally found type matching rule is the first type matching rule; and configuring the piece type matched with the attribute value consistent with the extended attribute value of the given commodity as the piece type of the given commodity.
And under the condition that the finally found piece type matching rule is the second piece type matching rule, finding the piece type matched with the attribute value interval in which the basic attribute value of the given commodity is located according to the matching relation between the attribute value interval and the piece type in the second piece type matching rule, and configuring the piece type into the piece type of the given commodity.
And under the condition that the finally found piece type matching rule is a third piece type matching rule, configuring the piece type matched with the type of the given commodity into the piece type of the given commodity according to the matching relation between the type and the piece type in the third piece type matching rule.
Fig. 3 is a schematic flow chart of data processing according to a third embodiment of the invention.
As shown in fig. 3, taking the commercial product type configuration as an example, the data processing flow of the third embodiment of the present invention may include the following steps S301 to S311.
Step S301: master data for a given commodity is obtained.
The main data of the given commodity can comprise main data of newly added commodities of the e-commerce platform and can also comprise main data of newly added commodities of third-party merchants. It should be noted that the new product refers to a new product requiring configuration. The main data is basic data of the commodity, and attribute information such as extended attributes, categories, basic attributes and the like of the commodity can be acquired according to needs through the main data.
Step S302: and acquiring the extension data of the given commodity according to the main data of the given commodity.
In this embodiment, the extension data may include attribute information such as an extension attribute and a category.
The extended attribute represents an attribute of further subdividing the commodity on the basis of the existing classification of the commodity, and can also be called a special attribute of the commodity. Different commodity classes have their own special extended attributes. For example, the air conditioners may be classified into a central air conditioner, a wall-mounted air conditioner, a cabinet air conditioner, etc., and the air conditioners may be classified into different numbers, where the numbers of the central air conditioner, the wall-mounted air conditioner, the cabinet air conditioner, etc. are 1 or two, etc. that belong to the extension attribute of the air conditioner, and the types of the air conditioners having the same volume and different extension attributes may be inconsistent. The extended attribute belongs to basic data of the product, and can be directly acquired from main data of the product.
Step S303: and obtaining a corresponding piece type rule list under the three-level classification of the given commodity.
In this embodiment, the existing classification of the commodities is divided into three categories, taking an air conditioner as an example, the first category is a household appliance, the second category is a large household appliance, and the third category is an air conditioner. The third-level classification is a classification of the lowest level of the existing commodity, and in other specific application scenarios, if the lowest level of the existing commodity is the nth-level classification (N is an integer), the step may obtain a corresponding part rule list under the nth-level classification. The matching relationship between the commodity and the part type of the commodity under the three-level classification of the given commodity is stored in the part type rule list, for example, the part type of a certain commodity X in the three-level classification is a large part; and a certain commodity Y, the wall-mounted Y is a middle part, and the vertical cabinet type Y is a large part.
Step S304: it is determined whether the part-type rule list is empty, if so, step S305 is performed, otherwise, step S306 is performed.
The step is to judge whether the matching relation between the commodities and the part types exists under the three-level classification of the stored given commodities.
Step S305: the part type of a given commodity is configured through manual verification.
If the piece type rule list is empty, the given commodity is a new commodity (namely, a commodity which is not currently or previously existed by the platform or the third-party merchant), and for the new commodity, no matching relation between the existing commodity and the piece type exists, and the piece type needs to be configured in a manual verification mode.
According to the manually verified and configured piece type, the attribute value or the matching relation between the attribute value interval and the piece type of the piece type matching rule in the stored rule set can be updated.
Step S306: and judging whether the product classification corresponding to the given commodity exists in the part type rule list, if so, executing step S307, and otherwise, executing step S308.
Step S307: and acquiring a rule corresponding to the product classification corresponding to the given commodity.
The part type rule list comprises rules corresponding to the subdivided product classifications under the three-level classification and rules corresponding to the three-level classification, the rules corresponding to the subdivided product classifications under the three-level classification specify the matching relationship between the commodity and the part type of each commodity in the subdivided product classifications under the three-level classification, for example, a certain three-level classification commodity is Y, the three-level classification is Y1 and Y2, Y1 is middle, Y2 is large, Y1-middle and Y2-large are rules corresponding to the subdivided product classifications under the three-level classification (commodity Y). The rule corresponding to the third-level classification specifies the matching relationship between some third-level classified commodities without product classification and part types, for example, a certain third-level classified commodity Z, Z is a small part, and Z-small part is the rule corresponding to the third-level classification.
After the execution of step S307 is completed, step S309 is executed.
Step S308: and acquiring rules corresponding to the three-level classification of the given commodity.
Then, step S309 is performed.
Step S309: the condition type in the rule is obtained.
In the case of jumping from step S307 to this step, the condition type in the rule is the condition type in the rule corresponding to the product classification corresponding to the given commodity, that is, which types are included in the rule corresponding to the product classification corresponding to the given commodity.
In the case of jumping from step S308 to this step, the condition type in the rule is the condition type in the rule corresponding to the three-level classification of the given commodity, that is, which types are included in the rule corresponding to the three-level classification of the given commodity.
Step S310: and judging whether the attribute value corresponding to the condition type is consistent with the extended attribute value of the given commodity or not, if so, executing the step S311, otherwise, jumping to the step S305.
Specifically, it is determined whether an attribute value set of the commodity corresponding to the piece type is obtained according to the matching relationship between the commodity and the piece type, and it is determined whether there is an attribute value in the attribute value set that is consistent with the extended attribute value of the given commodity, for example, the attribute value set includes the following attribute values: n and above cabinet air conditioners (n is 1), n and below cabinet air conditioners (n is 1), n and above wall-mounted air conditioners (n is 1), n and below wall-mounted air conditioners (n is 1), if the extended attribute value of a given commodity is 1.5 of the cabinet air conditioners, the attribute value consistent with the extended attribute value of the given commodity is n and above cabinet air conditioners (n is 1).
Step S311: and configuring the piece type matched with the attribute value consistent with the extended attribute value of the given commodity as the piece type of the given commodity.
According to the example in step S310, assuming that n and more (n is 1) corresponding part types of the cabinet air conditioners are large pieces specified in the part type rule list, 1.5 part types of commercial cabinet air conditioners are configured as large pieces.
By defining the matching relationship between the commodities and the part types in the part type rule list, the part types can be automatically matched according to the defined matching relationship for the given commodities.
As shown in fig. 4, taking the commercial product type configuration as an example, the data processing flow of the fourth embodiment of the present invention may include steps S401 to S411 as follows.
Compared with the data processing flow of the third embodiment, steps S401 to S409 correspond to steps S301 to S309 respectively, and thus steps S401 to S409 can refer to steps S301 to S309. It should be noted that, in this embodiment, the extension data in step S402 may include attribute information such as a basic attribute and a category.
The basic attributes are attributes that are common to commercial products, such as length, width, height, volume, weight, and the like. The basic attributes of the present embodiment are length, width and height. The embodiment can automatically configure the type of the commodity without the extended attribute.
Step S410: and judging whether the basic attribute value of the given commodity falls in a certain attribute value interval in the attribute value intervals corresponding to the condition types, if so, executing the step S411, and otherwise, skipping to the step S405.
That is, it is determined within which range of the length, width and height of the given product falls within the range of the length, width and height corresponding to the existing product type.
Step S411: and configuring the piece type matched with the attribute value interval in which the basic attribute value of the given commodity is positioned into the piece type of the given commodity.
The embodiment of the invention analyzes the commodity information based on the computer technology, and realizes the automatic matching of the rule with the commodity type information.
The present invention also provides a data processing apparatus, which mainly comprises:
the information analysis module is used for analyzing the input commodity information to obtain attribute information of a given commodity;
the rule searching module is used for searching a matching rule corresponding to the attribute information of the given commodity from a rule set according to a preset priority, wherein the matching rule comprises an attribute value or a matching relation between an attribute value interval and specific data;
and the data configuration module is used for configuring the matching data of the given commodity according to the matching relation between the attribute value or the attribute value interval and the specific data.
The following describes the data processing apparatus provided by the present invention in detail by taking a scenario of commercial product type configuration as an example. In the scenario of commodity type configuration, the matching rule may be a type matching rule, and the specific data matched with the commodity configuration is the type of the configured commodity, for example, for a given commodity, the matching data of the given commodity is configured according to the finally found matching rule, that is, the type of the given commodity is configured according to the finally found type matching rule.
Fig. 5 is a schematic diagram of main blocks of a data processing apparatus according to a fifth embodiment of the present invention.
The data processing apparatus 500 according to the fifth embodiment of the present invention mainly includes: the system comprises an information analysis module 501, a rule searching module 502 and a piece type configuration module 503. The information analysis module 501, the rule search module 502 and the piece type configuration module 503 are specific embodiments of the information analysis module, the rule search module and the data configuration module, respectively.
The information analysis module 501 is configured to analyze the input commodity information to obtain attribute information of a given commodity.
The rule searching module 502 is configured to search a part type matching rule corresponding to one attribute information of a given commodity from the rule set according to a preset priority, where the part type matching rule includes an attribute value or a matching relationship between an attribute value interval and a part type.
The attribute information of the given commodity includes an extended attribute, a basic attribute, and a category of the given commodity.
In one embodiment, the rule lookup module 502 may be specifically configured to:
preferentially searching the matching rule with the highest priority according to the priorities of a first type matching rule corresponding to the extended attribute of the given commodity, a second type matching rule corresponding to the basic attribute of the given commodity and a third type matching rule corresponding to the category of the given commodity in the rule set; under the condition that the part type matching rule with the highest priority is not found, continuously searching a part type matching rule with the next priority; and under the condition that the part type matching rule with the second priority is not found, finally, the part type matching rule with the lowest priority is found.
In another embodiment, the rule lookup module 502 may be specifically configured to:
searching a third type matching rule corresponding to the category of the given commodity from the rule set; under the condition that the third piece of matching rule comprises the extended attribute or the basic attribute of the given commodity, continuously searching a first piece of matching rule corresponding to the extended attribute or a second piece of matching rule corresponding to the basic attribute; and under the condition that the third piece of matching rule comprises both the extended attribute and the basic attribute of the given commodity, continuously searching one piece of matching rule with higher priority in the two pieces of matching rules according to the priorities of the first piece of matching rule and the second piece of matching rule.
And a part type configuration module 503, configured to configure the part type of the given commodity according to the matching relationship between the attribute value or the attribute value interval and the part type in the found part type matching rule.
The piece-type configuration module 503 may be specifically configured to:
comparing the extended attribute value of the given commodity with the attribute value in the first type matching rule under the condition that the finally found type matching rule is the first type matching rule; configuring the piece type matched with the attribute value consistent with the extended attribute value of the given commodity into the piece type of the given commodity; under the condition that the finally found piece type matching rule is a second piece type matching rule, according to the matching relation between the attribute value interval and the piece type in the second piece type matching rule, finding the piece type matched with the attribute value interval in which the basic attribute value of the given commodity is located, and configuring the piece type into the piece type of the given commodity; and under the condition that the finally found piece type matching rule is a third piece type matching rule, configuring the piece type matched with the type of the given commodity into the piece type of the given commodity according to the matching relation between the type and the piece type in the third piece type matching rule.
In addition, the detailed implementation of the data processing apparatus in the embodiment of the present invention has been described in detail in the above data processing method, and therefore, the repeated content will not be described again.
Fig. 6 shows an exemplary system architecture 600 of a data processing method or data processing apparatus to which embodiments of the present invention may be applied.
As shown in fig. 6, the system architecture 600 may include terminal devices 601, 602, 603, a network 604, and a server 605. The network 604 serves to provide a medium for communication links between the terminal devices 601, 602, 603 and the server 605. Network 604 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 601, 602, 603 to interact with the server 605 via the network 604 to receive or send messages or the like. The terminal devices 601, 602, 603 may have installed thereon various communication client applications, such as shopping applications, web browser applications, search applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 601, 602, 603 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 605 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 601, 602, 603. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the data processing method provided by the embodiment of the present invention is generally executed by the server 605, and accordingly, the data processing apparatus is generally disposed in the server 605.
It should be understood that the number of terminal devices, networks, and servers in fig. 6 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 7, shown is a block diagram of a computer system 700 suitable for use in implementing a terminal device or server of an embodiment of the present application. The terminal device or the server shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU)701, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program executes the above-described functions defined in the system of the present application when executed by the Central Processing Unit (CPU) 701.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a rule lookup module and a data configuration module. The names of the modules do not form a limitation on the modules themselves in some cases, for example, the rule searching module may also be described as "searching a matching rule corresponding to one attribute information of a given commodity from a rule set according to a preset priority level".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: analyzing the input commodity information to obtain attribute information of a given commodity; searching a matching rule corresponding to attribute information of the given commodity from a rule set according to a preset priority, wherein the matching rule comprises an attribute value or a matching relation between an attribute value interval and specific data; and configuring the matching data of the given commodity according to the matching relation between the attribute value or the attribute value interval and the specific data.
According to the technical scheme of the embodiment of the invention, a piece type matching rule corresponding to attribute information of a given commodity is searched from a rule set according to a preset priority; and configuring the part type of the given commodity according to the finally found attribute value or the matching relation between the attribute value interval and the part type in the part type matching rule. The automatic configuration can be carried out on the part types of all commodities, the manual workload is reduced, and the part type configuration efficiency and the data processing efficiency are improved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A data processing method, comprising:
analyzing the input commodity information to obtain attribute information of a given commodity;
searching a matching rule corresponding to attribute information of the given commodity from a rule set according to a preset priority, wherein the matching rule comprises an attribute value or a matching relation between an attribute value interval and specific data;
and configuring the matching data of the given commodity according to the matching relation between the attribute value or the attribute value interval and the specific data.
2. The method of claim 1, wherein the attribute information of the given item includes an extended attribute, a base attribute, and a category of the given item,
according to the preset priority, the step of searching a matching rule corresponding to the attribute information of the given commodity from a rule set comprises the following steps:
preferentially searching a matching rule with the highest priority according to the priorities of a first matching rule corresponding to the extended attribute of the given commodity, a second matching rule corresponding to the basic attribute of the given commodity and a third matching rule corresponding to the category of the given commodity in the rule set;
under the condition that the matching rule with the highest priority is not found, continuously searching a matching rule with the second priority;
and under the condition that the matching rule with the second priority is not found, finally, the matching rule with the lowest priority is found.
3. The method of claim 1, wherein the attribute information of the given item includes an extended attribute, a base attribute, and a category of the given item,
according to the preset priority, the step of searching a matching rule corresponding to the attribute information of the given commodity from a rule set comprises the following steps:
searching a third matching rule corresponding to the category of the given commodity from a rule set;
under the condition that the third matching rule comprises the extended attribute or the basic attribute of the given commodity, continuously searching for a first matching rule corresponding to the extended attribute or a second matching rule corresponding to the basic attribute;
and under the condition that the third matching rule comprises both the extended attribute and the basic attribute of the given commodity, continuously searching for one matching rule with a higher priority in the two matching rules according to the priorities of the first matching rule and the second matching rule.
4. The method according to claim 2 or 3, wherein the step of configuring the matching data of the given commodity according to the matching relationship between the attribute value or the attribute value interval and the specific data comprises:
in case the finally found matching rule is the first matching rule,
comparing the extended attribute value of the given commodity with the attribute value in the first matching rule;
configuring specific data matched with the attribute value consistent with the extended attribute value of the given commodity as matching data of the given commodity;
in case the finally found matching rule is the second matching rule,
according to the matching relation between the attribute value interval in the second matching rule and the specific data, searching the specific data matched with the attribute value interval in which the basic attribute value of the given commodity is located, and configuring the matched specific data as the matching data of the given commodity;
in case the finally found matching rule is the third matching rule,
and configuring the specific data matched with the category of the given commodity as the matching data of the given commodity according to the matching relation between the category in the third matching rule and the specific data.
5. A data processing apparatus, comprising:
the information analysis module is used for analyzing the input commodity information to obtain attribute information of a given commodity;
the rule searching module is used for searching a matching rule corresponding to the attribute information of the given commodity from a rule set according to a preset priority, wherein the matching rule comprises an attribute value or a matching relation between an attribute value interval and specific data;
and the data configuration module is used for configuring the matching data of the given commodity according to the matching relation between the attribute value or the attribute value interval and the specific data.
6. The apparatus of claim 5, wherein the attribute information of the given item includes an extended attribute, a base attribute, and a category of the given item,
the rule lookup module is further configured to:
preferentially searching a matching rule with the highest priority according to the priorities of a first matching rule corresponding to the extended attribute of the given commodity, a second matching rule corresponding to the basic attribute of the given commodity and a third matching rule corresponding to the category of the given commodity in the rule set;
under the condition that the matching rule with the highest priority is not found, continuously searching a matching rule with the second priority;
and under the condition that the matching rule with the second priority is not found, finally, the matching rule with the lowest priority is found.
7. The apparatus of claim 5, wherein the attribute information of the given item includes an extended attribute, a base attribute, and a category of the given item,
the rule lookup module is further configured to:
searching a third matching rule corresponding to the category of the given commodity from a rule set;
under the condition that the third matching rule comprises the extended attribute or the basic attribute of the given commodity, continuously searching for a first matching rule corresponding to the extended attribute or a second matching rule corresponding to the basic attribute;
and under the condition that the third matching rule comprises both the extended attribute and the basic attribute of the given commodity, continuously searching for one matching rule with a higher priority in the two matching rules according to the priorities of the first matching rule and the second matching rule.
8. The apparatus of claim 6 or 7, wherein the data configuration module is further configured to:
in case the finally found matching rule is the first matching rule,
comparing the extended attribute value of the given commodity with the attribute value in the first matching rule;
configuring specific data matched with the attribute value consistent with the extended attribute value of the given commodity as matching data of the given commodity;
in case the finally found matching rule is the second matching rule,
according to the matching relation between the attribute value interval in the second matching rule and the specific data, searching the specific data matched with the attribute value interval in which the basic attribute value of the given commodity is located, and configuring the matched specific data as the matching data of the given commodity;
in case the finally found matching rule is the third matching rule,
and configuring the specific data matched with the category of the given commodity as the matching data of the given commodity according to the matching relation between the category in the third matching rule and the specific data.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-4.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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