CN113822692A - Commodity information processing method and device, electronic equipment and storage medium - Google Patents
Commodity information processing method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a commodity information processing method, a commodity information processing device, electronic equipment and a storage medium, wherein the method comprises the following steps: in the process of evaluating the price of the commodity identified by the first commodity identification, the commodity category corresponding to the commodity identified by the first commodity identification and the target field value of the characteristic label field are combined to obtain the target group commodity identification corresponding to the commodity category and the target field value, and the evaluation price of the commodity identified by the commodity identification to be processed is accurately evaluated by combining the commodity price corresponding to each commodity identification in the target group commodity identification, so that the evaluation price of the commodity identified by the commodity identification is conveniently and objectively evaluated, the objectivity of commodity value evaluation is improved, the user does not need to manually collect the price information of the corresponding commodity, the time of commodity value evaluation is reduced, and the efficiency of obtaining the commodity value evaluation is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for processing commodity information, an electronic device, and a storage medium.
Background
In the related art, when a business system receives a business request for value evaluation of a corresponding commodity, the business system generally sends a commodity value evaluation task to a professional, then the professional manually collects commodity prices of the commodity provided by different merchants, then value evaluation is performed on the commodity by combining with manually collected commodity price information, and a value evaluation result of the corresponding commodity is given in the business system. However, the method of manually evaluating the commodity value is prone to cause that the value evaluation is not objective, and the time required for the value evaluation is long, so that the value evaluation result cannot be obtained in time.
Disclosure of Invention
The application provides a commodity information processing method and device, electronic equipment and a storage medium.
An embodiment of an aspect of the present application provides a method for processing commodity information, including: acquiring a first commodity identification to be processed, and acquiring a commodity class corresponding to the first commodity identification; acquiring a plurality of groups of commodity identifications corresponding to the commodity categories, wherein the field values of the characteristic label fields corresponding to each commodity identification in the same group are the same; acquiring a target field value of a characteristic label field corresponding to the first commodity identification; acquiring a target group commodity identification corresponding to the target field value from the plurality of groups of commodity identifications; and determining and outputting the evaluation price of the commodity identified by the first commodity identification according to the commodity price corresponding to each commodity identification in the target group of commodity identifications.
In an embodiment of the present application, before the obtaining of the first article identifier to be processed, the method further includes: acquiring a plurality of second commodity identifications corresponding to the commodity types, and acquiring commodity information corresponding to each second commodity identification; acquiring attribute fields to be spliced corresponding to the commodity types, wherein the attribute fields to be spliced comprise brand name fields and specification attribute fields; for each second commodity identification, extracting a brand name of the brand name field and a specification attribute value of the specification attribute field from commodity information corresponding to the second commodity identification; splicing the commodity class, the brand name and the specification attribute value to obtain a field value of a characteristic label field corresponding to the second commodity identifier; and according to the field value of the characteristic label field corresponding to each second commodity identification, grouping the second commodity identifications with the same field value in the plurality of second commodity identifications into a group to obtain the plurality of groups of commodity identifications.
In an embodiment of the application, before the splicing the item class of goods, the brand name, and the specification attribute value to obtain a field value of a feature tag field corresponding to the second item identifier, the method further includes: acquiring a language type corresponding to the brand name; and under the condition that the language type of the brand name is different from a preset language type, acquiring the brand name corresponding to the second commodity identification under the preset language type, and taking the brand name corresponding to the second commodity identification as the brand name.
In an embodiment of the application, before the splicing the item class of goods, the brand name, and the specification attribute value to obtain a field value of a feature tag field corresponding to the second item identifier, the method further includes: acquiring an attribute value format requirement corresponding to the specification attribute field according to the commodity category; and adjusting the specification attribute value according to the attribute value format requirement.
In an embodiment of the application, before the splicing the item class of goods, the brand name, and the specification attribute value to obtain a field value of a feature tag field corresponding to the second item identifier, the method further includes: judging whether the specification attribute value is null or not; and if the specification attribute value is null, acquiring the commodity name corresponding to the second commodity identification, and determining the specification attribute value of the specification attribute field according to the commodity name.
In an embodiment of the application, the determining a specification attribute value of the specification attribute field according to the commodity name includes: acquiring attribute value format requirements corresponding to the specification attribute fields; and extracting fields meeting the attribute value format requirements from the commodity names as specification attribute values corresponding to the specification attribute fields.
In an embodiment of the application, the determining an attribute value of the specification attribute field according to the commodity name includes: acquiring a candidate specification attribute set of the specification attribute field corresponding to the commodity class and the brand name, wherein the candidate specification attribute set comprises a plurality of candidate specification attribute values; performing word segmentation on the commodity name to obtain a word segmentation result of the commodity name; and selecting the candidate specification attribute value with the maximum similarity and larger than a preset similarity threshold value from the plurality of candidate specification attribute values as the specification attribute value corresponding to the specification attribute field according to the similarity between each candidate specification attribute sub and the word segmentation result.
In the commodity information processing method of the embodiment of the application, in the process of price evaluation of a commodity identified by a first commodity identification, a commodity class corresponding to the first commodity identification is combined, multiple groups of commodity identifications corresponding to the commodity classes are obtained, and then a target field value of a feature tag field corresponding to the first commodity identification is obtained; and obtaining a target group commodity identification corresponding to the target field value from the multiple groups of commodity identifications, determining the evaluation price of the commodity identified by the first commodity identification according to the commodity price corresponding to each commodity identification in the target group commodity identification, and outputting the evaluation price. Therefore, the commodity category corresponding to the commodity identification to be processed and the target field value of the characteristic label field are combined, the target group commodity identification corresponding to the commodity category and the target field value is obtained, the evaluation price of the commodity identified by the commodity identification to be processed is accurately evaluated by combining the commodity price corresponding to each commodity identification in the target group commodity identification, the evaluation price of the commodity identified by the commodity identification to be processed is conveniently and objectively evaluated, the objectivity of commodity value evaluation is improved, a user does not need to manually collect price information of the corresponding commodity, the time of commodity value evaluation is reduced, and the efficiency of obtaining the commodity value evaluation is improved.
Another embodiment of the present application provides a processing apparatus for commodity information, including: the system comprises a first acquisition module, a second acquisition module and a processing module, wherein the first acquisition module is used for acquiring a first commodity identifier to be processed and acquiring a commodity class corresponding to the first commodity identifier; the second acquisition module is used for acquiring a plurality of groups of commodity identifications corresponding to the commodity categories, wherein the field values of the characteristic label fields corresponding to the commodity identifications in the same group are the same; the third acquisition module is used for acquiring a target field value of a characteristic label field corresponding to the first commodity identification; the fourth acquisition module is used for acquiring a target group commodity identification corresponding to the target field value from the plurality of groups of commodity identifications; and the first determining module is used for determining and outputting the evaluation price of the commodity identified by the first commodity identification according to the commodity price corresponding to each commodity identification in the target group of commodity identifications.
In one embodiment of the present application, the apparatus further comprises: the fifth acquisition module is used for acquiring a plurality of second commodity identifications corresponding to the commodity categories and acquiring commodity information corresponding to each second commodity identification; a sixth obtaining module, configured to obtain an attribute field to be spliced corresponding to the commodity category, where the attribute field to be spliced includes a brand name field and a specification attribute field; the extracting module is used for extracting the brand name of the brand name field and the specification attribute value of the specification attribute field from the commodity information corresponding to the second commodity identification aiming at each second commodity identification; the splicing module is used for splicing the commodity class, the brand name and the specification attribute value to obtain a field value of a feature tag field corresponding to the second commodity identification; and the grouping module is used for grouping the second commodity identifications with the same field value in the plurality of second commodity identifications into one group according to the field value of the characteristic label field corresponding to each second commodity identification so as to obtain the plurality of groups of commodity identifications.
In one embodiment of the present application, the apparatus further comprises: a seventh obtaining module, configured to obtain a language type corresponding to the brand name; and the eighth obtaining module is used for obtaining the brand name corresponding to the second commodity identification in the preset language type under the condition that the language type of the brand name is different from the preset language type, and taking the brand name corresponding to the second commodity identification as the brand name.
In one embodiment of the present application, the apparatus further comprises: a ninth obtaining module, configured to obtain, according to the commodity category, an attribute value format requirement corresponding to the specification attribute field; and the adjusting module is used for adjusting the specification attribute value according to the attribute value format requirement.
In one embodiment of the present application, the apparatus further comprises: the judging module is used for judging whether the specification attribute value is null or not; and the second determining module is used for acquiring the commodity name corresponding to the second commodity identification if the specification attribute value is null, and determining the specification attribute value of the specification attribute field according to the commodity name.
In an embodiment of the application, the second determining module is configured to: acquiring attribute value format requirements corresponding to the specification attribute fields; and extracting fields meeting the attribute value format requirements from the commodity names as specification attribute values corresponding to the specification attribute fields.
In an embodiment of the application, the second determining module is configured to: acquiring a candidate specification attribute set of the specification attribute field corresponding to the commodity class and the brand name, wherein the candidate specification attribute set comprises a plurality of candidate specification attribute values; performing word segmentation on the commodity name to obtain a word segmentation result of the commodity name; and selecting the candidate specification attribute value with the maximum similarity and larger than a preset similarity threshold value from the plurality of candidate specification attribute values as the specification attribute value corresponding to the specification attribute field according to the similarity between each candidate specification attribute sub and the word segmentation result.
In the commodity information processing device in the embodiment of the application, in the process of evaluating the price of a commodity identified by a first commodity identification, a commodity class corresponding to the first commodity identification is combined, multiple groups of commodity identifications corresponding to the commodity classes are obtained, and then a target field value of a feature tag field corresponding to the first commodity identification is obtained; and obtaining a target group commodity identification corresponding to the target field value from the multiple groups of commodity identifications, determining the evaluation price of the commodity identified by the first commodity identification according to the commodity price corresponding to each commodity identification in the target group commodity identification, and outputting the evaluation price. Therefore, the commodity category corresponding to the commodity identification to be processed and the target field value of the characteristic label field are combined, the target group commodity identification corresponding to the commodity category and the target field value is obtained, the evaluation price of the commodity identified by the commodity identification to be processed is accurately evaluated by combining the commodity price corresponding to each commodity identification in the target group commodity identification, the evaluation price of the commodity identified by the commodity identification to be processed is conveniently and objectively evaluated, the objectivity of commodity value evaluation is improved, a user does not need to manually collect price information of the corresponding commodity, the time of commodity value evaluation is reduced, and the efficiency of obtaining the commodity value evaluation is improved.
An embodiment of another aspect of the present application provides an electronic device, including: an electronic device, comprising: a memory, a processor; the memory stores computer instructions, and when the computer instructions are executed by the processor, the method for processing the commodity information is realized.
Another embodiment of the present application provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute a method for processing commodity information disclosed in an embodiment of the present application.
Another embodiment of the present application provides a computer program product, and when executed by an instruction processor in the computer program product, the method for processing commodity information in the embodiment of the present application is implemented.
Other effects of the above-described alternative will be described below with reference to specific embodiments.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
fig. 1 is a flowchart illustrating a method for processing merchandise information according to an embodiment of the present application.
Fig. 2 is a flowchart illustrating a method of processing merchandise information according to another embodiment of the present application.
Fig. 3 is a flowchart illustrating a method for processing merchandise information according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a commodity information processing device according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a commodity information processing apparatus according to another embodiment of the present application.
FIG. 6 is a block diagram of an electronic device according to one embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes a method, an apparatus, and an electronic device for processing commodity information according to an embodiment of the present application with reference to the drawings.
Fig. 1 is a flowchart illustrating a method for processing merchandise information according to an embodiment of the present application. It should be noted that an execution subject of the method for processing commodity information provided in this embodiment is a processing device of commodity information, the processing device of commodity information may be implemented in a software and/or hardware manner, the processing device of commodity information in this embodiment may be configured in an e-commerce platform, the e-commerce platform may be configured in an electronic device, and the electronic device in this embodiment may include a terminal device, a server, and other devices.
As shown in fig. 1, the method for processing the commodity information may include:
In an exemplary implementation manner, in the process of using the e-commerce client, in the case that the corresponding user has a business requirement for commodity value evaluation, the user may select a commodity to be evaluated in the e-commerce client, and click an evaluation control in the e-commerce client. Correspondingly, the E-commerce client generates an evaluation request according to the selected commodity to be evaluated, and transmits the commodity identification of the commodity to be evaluated to the commodity information processing device through the value evaluation request. Correspondingly, the processing device of the commodity information can acquire the commodity identification based on the value evaluation request, and take the acquired commodity identification as the commodity identification to be processed.
As another exemplary embodiment, in the process of using the e-commerce webpage, in the case that the service requirement corresponding to the commodity value evaluation of the user exists, the user may select a commodity to be evaluated in the e-commerce webpage and click on an evaluation control in the e-commerce webpage. Correspondingly, the E-commerce server responds to the trigger operation of the evaluation control, produces an evaluation request according to the selected commodity to be evaluated, and transmits the commodity identification of the commodity to be evaluated to the commodity information processing device through the value evaluation request. Correspondingly, the processing device of the commodity information can acquire the commodity identification included in the value evaluation request and take the acquired commodity identification as the to-be-processed commodity identification.
As another exemplary embodiment, in the process of using the e-commerce client, under the condition of corresponding to the service requirement of the user escort service, the user can select the goods to be escorted in the e-commerce client and click the escort control in the e-commerce client. Correspondingly, the E-commerce client generates a goods escort request based on the commodity identification of the goods to be escorted based on the triggering operation of the goods escort control, and transmits the goods escort request to the processing device of the commodity information. Correspondingly, the processing device of the commodity information can acquire the commodity identification from the escort request and use the acquired commodity identification as the commodity identification to be processed.
It is to be understood that, in a escort service scenario, it is an important link to accurately evaluate the value of a commodity identified by a commodity identifier.
It should be noted that the product identifier in this embodiment is a unique identifier of a product, and product identifiers corresponding to different products are different. In practical applications, the form of the commodity identifier may be set in combination with actual business requirements, for example, numbers, letters, or a combination of numbers and letters to represent the commodity identifier, and the embodiment does not specifically limit the form of the commodity identifier.
102, acquiring a plurality of groups of commodity identifications corresponding to the commodity categories, wherein the field values of the characteristic label fields corresponding to each commodity identification in the same group are the same.
The feature tag field in this embodiment is formed by splicing a brand name, a specification attribute, and the like based on the commodity category and the preset language type. For example, the preset language type is chinese, and the corresponding feature tag fields may be concatenated according to the "commodity type _ brand chinese name _ specification attribute 1_ specification attribute 2_ specification attribute 3 … specification attribute N". For another example, the predetermined language type is english, and the corresponding feature tag fields may be concatenated in a manner of "commodity type _ brand english name _ specification attribute 1_ specification attribute 2_ specification attribute 3 … specification attribute N".
It should be noted that, for different commodity types, the specification attributes corresponding to the different commodity types are usually different, for example, the commodity type is a mobile phone, and the corresponding specification attributes may include a model number and a memory. For another example, the commodity is a computer, and the specification attributes corresponding to the computer may include specification attributes such as a model, a memory, and a hard disk. For another example, the commodity category is a home appliance, and the specification attribute corresponding to the home appliance may include a model number.
It can be understood that the specification attribute conditions required by different commodity types may be configured in advance in the processing device of the commodity information, for example, a corresponding relationship between a commodity type and its corresponding specification attribute may be set in advance in the processing device of the commodity information, and when the specification attribute corresponding to the corresponding commodity type needs to be determined subsequently, the specification attribute corresponding to the corresponding commodity type may be obtained from the corresponding relationship.
In an embodiment of the application, a target field value of the feature tag field corresponding to the first product identifier may be obtained through a pre-stored correspondence between the product identifier and the target field value of the feature field.
And 104, acquiring a target group commodity identification corresponding to the target field value from the plurality of groups of commodity identifications.
In this embodiment, after obtaining a plurality of sets of product identifiers, a field value of a feature tag field corresponding to each set of product identifiers may be obtained, and compared with a target field value of a feature tag field corresponding to a first product identifier, so as to obtain a target set of product identifiers having the same value as the target field value. It can be understood that the value of the characteristic tag field corresponding to each article identifier in the target group article identifiers is the same as the value of the target field corresponding to the characteristic tag field corresponding to the article identifier.
And 105, determining and outputting the evaluation price of the commodity identified by the first commodity identification according to the commodity price corresponding to each commodity identification in the target group commodity identification.
In an embodiment of the application, the average value of the commodity prices may be determined according to the commodity prices corresponding to the commodity identifications in the target group of commodity identifications, the determined average value of the commodity prices may be used as the evaluation prices of the commodities identified by the first commodity identification, and the evaluation prices may be displayed on the display interface.
In another embodiment of the present application, after the prices of the commodities in the target group of commodity identifications are obtained, a median of the prices can be determined from the prices of the commodities, the determined median is used as an estimated price of the commodity identified by the first commodity identification, and the estimated price is displayed on the display interface.
According to the commodity information processing method provided by the embodiment of the application, in the process of price evaluation of a commodity identified by a first commodity identification, a commodity class corresponding to the first commodity identification is combined, multiple groups of commodity identifications corresponding to the commodity classes are obtained, and then a target field value of a feature tag field corresponding to the first commodity identification is obtained; and obtaining a target group commodity identification corresponding to the target field value from the multiple groups of commodity identifications, determining the evaluation price of the commodity identified by the first commodity identification according to the commodity price corresponding to each commodity identification in the target group commodity identification, and outputting the evaluation price. Therefore, the commodity category corresponding to the commodity identification to be processed and the target field value of the characteristic label field are combined, the target group commodity identification corresponding to the commodity category and the target field value is obtained, the evaluation price of the commodity identified by the commodity identification to be processed is accurately evaluated by combining the commodity price corresponding to each commodity identification in the target group commodity identification, the evaluation price of the commodity identified by the commodity identification to be processed is conveniently and objectively evaluated, the objectivity of commodity value evaluation is improved, a user does not need to manually collect price information of the corresponding commodity, the time of commodity value evaluation is reduced, and the efficiency of obtaining the commodity value evaluation is improved.
Based on the above embodiment, after obtaining the evaluation price of the corresponding product, if the escort service processing needs to be performed on the corresponding product, at this time, the quantity of the product corresponding to the product identifier (where the product identifier corresponds to the corresponding product) may also be obtained, then, the total evaluation price of the product identified by the product identifier is determined by combining the quantity of the product and the evaluation price, and the total evaluation price is output, so that the sponsor obtains the total evaluation, and performs funding based on the obtained total evaluation.
Based on the above embodiment, in order to accurately determine the target group commodity identifiers corresponding to the commodity identifiers, and it is very important to accurately determine each group of commodity identifiers corresponding to the commodity category, before acquiring the first commodity identifier to be processed, as shown in fig. 2, the method further includes:
In an embodiment of the application, a plurality of second product identifiers corresponding to a product category and product information corresponding to each second product identifier may be obtained based on a pre-stored correspondence between the product category and product information of a product.
The commodity information may include, but is not limited to, a commodity name, commodity name information, specification attribute information of the commodity, and the like.
The name of the article, i.e. the name of the article, is also referred to as the title of the article, and the title of the article may include, but is not limited to, brand name, credit, model number, promotion information, article function, and the like.
In an embodiment of the present application, the attribute field to be spliced corresponding to the commodity category may be obtained based on a pre-stored correspondence between the commodity category and the splicing attribute field.
And 204, splicing the commodity class, the brand name and the specification attribute value to obtain a field value of a characteristic label field corresponding to the second commodity identification.
In an embodiment of the application, the article type, the brand name, and the specification attribute value may be spliced according to a format rule corresponding to the feature tag field, so as to obtain a field value of the feature tag field corresponding to the second article identifier.
For example, the format of the feature tag field is "item type _ brand name _ specification attribute 1_ specification attribute 2", and according to the format, the item type, the brand name, the specification attribute 1, and the specification attribute 2 of the product are spliced, and a splicing result obtained by splicing is used as a field value corresponding to the feature tag field.
In one embodiment of the present application, in order to match the goods accurately, the language type of the brand name of the goods used by some merchants may be different for the same goods, for example, for a goods, a merchant uses the Chinese brand name of the goods, and another merchant uses the English brand name of the goods, but actually the goods sold by the two merchants are the same. Therefore, before the article class, the brand name and the specification attribute value are spliced to obtain the field value of the feature tag field corresponding to the second article identifier, the method may further include: and acquiring a language type corresponding to the brand name, acquiring the brand name corresponding to the second commodity identification under the preset language type under the condition that the language type of the brand name is different from the preset language type, and taking the commodity name under the preset language type as the commodity name corresponding to the second commodity identification.
For example, the preset language type is chinese, and the language type of the brand name corresponding to the second product identifier is english, at this time, a brand name library corresponding to the product type may be obtained, where the brand names corresponding to the product identifiers and the languages are stored in the brand name library. Correspondingly, the brand name corresponding to the second commodity identification in the preset language type can be obtained from the brand name library based on the commodity identification, and subsequent splicing is performed based on the brand name in the preset language. Therefore, the language types of the brand names are unified, and accurate grouping can be realized.
In an embodiment of the application, in order to achieve accurate grouping when formats of specification attributes of different merchants are not uniform, before splicing the article class, the brand name, and the specification attribute value to obtain a field value of a feature tag field corresponding to the second article identifier, the method may further include: acquiring attribute value format requirements corresponding to the specification attribute fields according to the commodity types; and adjusting the specification attribute value according to the attribute value format requirement. That is to say, in this embodiment, the specification attribute values corresponding to the second product identifiers may be subjected to data cleaning in combination with the attribute value format requirements corresponding to the specification attribute fields, so that the formats of the specification attribute values are unified. For example, the commodity model has the problems of case, special symbol and the like, and the data of the commodity model can be cleaned based on the format requirement of the commodity model, so that the cleaned commodity model meets the format requirement.
In an embodiment of the present application, according to a field value of a feature tag field corresponding to each second article identifier, the second article identifiers having the same field value in the plurality of second article identifiers are correspondingly grouped into one group, so as to obtain a possible implementation manner of the plurality of groups of article identifiers, that is: and acquiring the number of the specification attribute fields of the missing attribute values, determining the integrity of the field values of the feature tag fields according to the number, and correspondingly taking second commodity identifications with the same integrity and the specification attribute fields of the missing attribute values as a group.
In an embodiment of the present application, according to a field value of a feature tag field corresponding to each second article identifier, the second article identifiers having the same field value in the plurality of second article identifiers are grouped into one group, so as to obtain a possible implementation manner of the plurality of groups of article identifiers: and aiming at each second commodity identification, acquiring the number of the specification attribute fields of the missing attribute value according to the field information of the second commodity identification, determining the integrity of the field value of the feature tag field according to the number, determining the corresponding matching degree according to the integrity, and taking the second commodity identifications with the same matching degree and the specification attribute fields of the missing attribute value as a group.
It will be appreciated that different threshold matching values may be set for different categories of goods. The second commodity identifications with matching degrees meeting the threshold requirement can be classified according to the characteristic label fields, and the commodity information matched with the commodities identified by the corresponding commodity identifications can be acquired according to the commodity identification groups of the same class of labels.
Fig. 3 is a flowchart illustrating a method for processing merchandise information according to another embodiment of the present application. This embodiment is a further refinement or optimization of the above-described embodiments.
As shown in fig. 3, the method further comprises:
And step 304, acquiring the language type corresponding to the brand name.
In one embodiment of the present application, one possible implementation manner for determining the specification attribute value of the specification attribute field according to the commodity name is as follows: and acquiring the attribute value format requirement corresponding to the specification attribute field. And extracting fields meeting the attribute value format requirements from the commodity names as specification attribute values corresponding to the specification attribute fields.
In one embodiment of the present application, another possible implementation manner for determining the attribute value of the specification attribute field according to the commodity name is as follows: acquiring a candidate specification attribute set of a specification attribute field corresponding to the commodity class and the brand name, wherein the candidate specification attribute set comprises a plurality of candidate specification attribute values; performing word segmentation on the commodity name to obtain a word segmentation result of the commodity name; and selecting the candidate specification attribute value with the maximum similarity and larger than a preset similarity threshold value from a plurality of candidate specification attribute values according to the similarity between each candidate specification attribute sub and the word segmentation result as the specification attribute value corresponding to the specification attribute field.
In one embodiment of the present application, one possible construction process of the candidate specification attribute set is: and crawling the content of the brand businessman or the third-party information website in a web crawler mode, and establishing a candidate specification attribute set.
In one embodiment of the present application, another possible construction process of the candidate specification attribute set is: the existing commodity attributes are combined, repeated attributes are removed, pairwise similarity calculation between the attributes is carried out, some actually same attributes are combined again, finally, manual secondary screening is carried out on the attributes with excessive or insufficient occurrence times, some abnormal values are removed, and a candidate specification attribute set is established.
In the embodiments of the present application, the processing apparatus of the merchandise information provided by the embodiments of the present application corresponds to the processing method of the merchandise information provided by the embodiments of the present application, so the embodiments of the processing method of the merchandise information are also applicable to the processing apparatus of the merchandise information provided by the embodiments of the present application, and the detailed description thereof is omitted in the present embodiment.
Fig. 4 is a schematic structural diagram of a commodity information processing device according to an embodiment of the present application.
As shown in fig. 4, the product information processing apparatus 400 includes:
the first obtaining module 401 is configured to obtain a first product identifier to be processed, and obtain a product category corresponding to the first product identifier.
A second obtaining module 402, configured to obtain multiple sets of product identifiers corresponding to product categories, where field values of feature tag fields corresponding to product identifiers in the same set are the same.
A third obtaining module 403, configured to obtain a target field value of the feature tag field corresponding to the product identifier.
A fourth obtaining module 404, configured to obtain a target group commodity identifier corresponding to the target field value from multiple groups of commodity identifiers.
The first determining module 405 is configured to determine and output an evaluation price of the product identified by the first product identifier according to the product price corresponding to each product identifier in the target group of product identifiers.
In an embodiment of the present application, on the basis of the embodiment of the apparatus shown in fig. 4, as shown in fig. 5, the apparatus may further include:
the fifth obtaining module 406 is configured to determine and output an evaluation price of the product identified by the first product identifier according to the product price corresponding to each product identifier in the target group of product identifiers.
A sixth obtaining module 407, configured to obtain an attribute field to be spliced corresponding to the commodity category, where the attribute field to be spliced includes a brand name field and a specification attribute field.
The extracting module 408 is configured to, for each second product identifier, extract a brand name of the brand name field and a specification attribute value of the specification attribute field from the product information corresponding to the second product identifier.
The splicing module 409 is configured to splice the article type, the brand name, and the specification attribute value to obtain a field value of a feature tag field corresponding to the second article identifier.
The grouping module 410 is configured to group second product identifiers having the same field value in the plurality of second product identifiers according to the field value of the feature tag field corresponding to each second product identifier, so as to obtain a plurality of groups of product identifiers.
As shown in fig. 5, the apparatus may further include:
the seventh obtaining module 411 is configured to obtain a language type corresponding to the brand name.
An eighth obtaining module 412, configured to obtain, when the language type of the brand name is different from the preset language type, the brand name corresponding to the second product identifier in the preset language type, and use the brand name corresponding to the second product identifier as the brand name
As shown in fig. 5, the apparatus further comprises:
a ninth obtaining module 413, configured to obtain, according to the commodity category, an attribute value format requirement corresponding to the specification attribute field.
And an adjusting module 414, configured to adjust the specification attribute value according to the attribute value format requirement.
In one embodiment of the present application, as shown in fig. 5, the apparatus further comprises:
the determining module 415 is configured to determine whether the specification attribute value is null.
And a second determining module 416, configured to, if the specification attribute value is null, obtain a product name corresponding to the second product identifier, and determine the specification attribute value of the specification attribute field according to the product name.
In an embodiment of the present application, the second determining module 416 is configured to: and acquiring the attribute value format requirement corresponding to the specification attribute field. And extracting fields meeting the attribute value format requirements from the commodity names as specification attribute values corresponding to the specification attribute fields.
In an embodiment of the present application, the second determining module 416 is specifically configured to: acquiring a candidate specification attribute set of a specification attribute field corresponding to the commodity class and the brand name, wherein the candidate specification attribute set comprises a plurality of candidate specification attribute values; performing word segmentation on the commodity name to obtain a word segmentation result of the commodity name; and selecting the candidate specification attribute value with the maximum similarity and larger than a preset similarity threshold value from a plurality of candidate specification attribute values according to the similarity between each candidate specification attribute sub and the word segmentation result as the specification attribute value corresponding to the specification attribute field.
In the commodity information processing device in the embodiment of the application, in the process of evaluating the price of a commodity identified by a first commodity identification, a commodity class corresponding to the first commodity identification is combined, multiple groups of commodity identifications corresponding to the commodity classes are obtained, and then a target field value of a feature tag field corresponding to the first commodity identification is obtained; and obtaining a target group commodity identification corresponding to the target field value from the multiple groups of commodity identifications, determining the evaluation price of the commodity identified by the first commodity identification according to the commodity price corresponding to each commodity identification in the target group commodity identification, and outputting the evaluation price. Therefore, the commodity category corresponding to the commodity identification to be processed and the target field value of the characteristic label field are combined, the target group commodity identification corresponding to the commodity category and the target field value is obtained, the evaluation price of the commodity identified by the commodity identification to be processed is accurately evaluated by combining the commodity price corresponding to each commodity identification in the target group commodity identification, the evaluation price of the commodity identified by the commodity identification to be processed is conveniently and objectively evaluated, the objectivity of commodity value evaluation is improved, a user does not need to manually collect price information of the corresponding commodity, the time of commodity value evaluation is reduced, and the efficiency of obtaining the commodity value evaluation is improved.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
FIG. 6 is a block diagram of an electronic device according to an embodiment of the present application.
As shown in fig. 6, the electronic device includes:
The processor 602, when executing the instructions, implements the method of processing the merchandise information provided in the above-described embodiments.
Further, the electronic device further includes:
a communication interface 603 for communication between the memory 601 and the processor 602.
The processor 602 is configured to implement the method for processing the commodity information according to the above embodiments when executing the program.
If the memory 601, the processor 602 and the communication interface 603 are implemented independently, the communication interface 603, the memory 601 and the processor 602 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.
Optionally, in a specific implementation, if the memory 601, the processor 602, and the communication interface 603 are integrated on a chip, the memory 601, the processor 602, and the communication interface 603 may complete mutual communication through an internal interface.
The processor 602 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
The present application also provides a computer program product, which when executed by an instruction processor in the computer program product implements the method for processing the commodity information according to the embodiment of the present application.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware that is related to instructions of a program, and the program may be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (16)
1. A commodity information processing method is characterized by comprising the following steps:
acquiring a first commodity identification to be processed, and acquiring a commodity class corresponding to the first commodity identification;
acquiring a plurality of groups of commodity identifications corresponding to the commodity categories, wherein the field values of the characteristic label fields corresponding to each commodity identification in the same group are the same;
acquiring a target field value of a characteristic label field corresponding to the first commodity identification;
acquiring a target group commodity identification corresponding to the target field value from the plurality of groups of commodity identifications;
and determining and outputting the evaluation price of the commodity identified by the first commodity identification according to the commodity price corresponding to each commodity identification in the target group of commodity identifications.
2. The method of claim 1, wherein prior to said obtaining the first item identifier to be processed, the method further comprises:
acquiring a plurality of second commodity identifications corresponding to the commodity types, and acquiring commodity information corresponding to each second commodity identification;
acquiring attribute fields to be spliced corresponding to the commodity types, wherein the attribute fields to be spliced comprise brand name fields and specification attribute fields;
for each second commodity identification, extracting a brand name of the brand name field and a specification attribute value of the specification attribute field from commodity information corresponding to the second commodity identification;
splicing the commodity class, the brand name and the specification attribute value to obtain a field value of a characteristic label field corresponding to the second commodity identifier;
and according to the field value of the characteristic label field corresponding to each second commodity identification, grouping the second commodity identifications with the same field value in the plurality of second commodity identifications into a group to obtain the plurality of groups of commodity identifications.
3. The method of claim 2, wherein prior to said concatenating said commodity class, said brand name, and said specification attribute value to obtain a field value for a feature tag field corresponding to said second commodity identification, said method further comprises:
acquiring a language type corresponding to the brand name;
and under the condition that the language type of the brand name is different from a preset language type, acquiring the brand name corresponding to the second commodity identification under the preset language type, and taking the brand name corresponding to the second commodity identification as the brand name.
4. The method of claim 2, wherein prior to said concatenating said commodity class, said brand name, and said specification attribute value to obtain a field value for a feature tag field corresponding to said second commodity identification, said method further comprises:
acquiring an attribute value format requirement corresponding to the specification attribute field according to the commodity category;
and adjusting the specification attribute value according to the attribute value format requirement.
5. The method of claim 2, wherein prior to said concatenating said commodity class, said brand name, and said specification attribute value to obtain a field value for a feature tag field corresponding to said second commodity identification, said method further comprises:
judging whether the specification attribute value is null or not;
and if the specification attribute value is null, acquiring the commodity name corresponding to the second commodity identification, and determining the specification attribute value of the specification attribute field according to the commodity name.
6. The method of claim 5, wherein said determining a specification attribute value for said specification attribute field from said commodity name comprises:
acquiring attribute value format requirements corresponding to the specification attribute fields;
and extracting fields meeting the attribute value format requirements from the commodity names as specification attribute values corresponding to the specification attribute fields.
7. The method of claim 5, wherein said determining an attribute value for said specification attribute field from said commodity name comprises:
acquiring a candidate specification attribute set of the specification attribute field corresponding to the commodity class and the brand name, wherein the candidate specification attribute set comprises a plurality of candidate specification attribute values;
performing word segmentation on the commodity name to obtain a word segmentation result of the commodity name;
and selecting the candidate specification attribute value with the maximum similarity and larger than a preset similarity threshold value from the plurality of candidate specification attribute values as the specification attribute value corresponding to the specification attribute field according to the similarity between each candidate specification attribute sub and the word segmentation result.
8. An apparatus for processing commodity information, comprising:
the system comprises a first acquisition module, a second acquisition module and a processing module, wherein the first acquisition module is used for acquiring a first commodity identifier to be processed and acquiring a commodity class corresponding to the first commodity identifier;
the second acquisition module is used for acquiring a plurality of groups of commodity identifications corresponding to the commodity categories, wherein the field values of the characteristic label fields corresponding to the commodity identifications in the same group are the same;
the third acquisition module is used for acquiring the target field value of the characteristic label field corresponding to the commodity identification;
the fourth acquisition module is used for acquiring a target group commodity identification corresponding to the target field value from the plurality of groups of commodity identifications;
and the first determining module is used for determining and outputting the evaluation price of the commodity identified by the first commodity identification according to the commodity price corresponding to each commodity identification in the target group of commodity identifications.
9. The apparatus of claim 8, wherein the apparatus further comprises:
the fifth acquisition module is used for acquiring a plurality of second commodity identifications corresponding to the commodity categories and acquiring commodity information corresponding to each second commodity identification;
a sixth obtaining module, configured to obtain an attribute field to be spliced corresponding to the commodity category, where the attribute field to be spliced includes a brand name field and a specification attribute field;
the extracting module is used for extracting the brand name of the brand name field and the specification attribute value of the specification attribute field from the commodity information corresponding to the second commodity identification aiming at each second commodity identification;
the splicing module is used for splicing the commodity class, the brand name and the specification attribute value to obtain a field value of a feature tag field corresponding to the second commodity identification;
and the grouping module is used for grouping the second commodity identifications with the same field value in the plurality of second commodity identifications into one group according to the field value of the characteristic label field corresponding to each second commodity identification so as to obtain the plurality of groups of commodity identifications.
10. The apparatus of claim 9, wherein the apparatus further comprises:
a seventh obtaining module, configured to obtain a language type corresponding to the brand name;
and the eighth obtaining module is used for obtaining the brand name corresponding to the second commodity identification in the preset language type under the condition that the language type of the brand name is different from the preset language type, and taking the brand name corresponding to the second commodity identification as the brand name.
11. The apparatus of claim 9, wherein the apparatus further comprises:
a ninth obtaining module, configured to obtain, according to the commodity category, an attribute value format requirement corresponding to the specification attribute field;
and the adjusting module is used for adjusting the specification attribute value according to the attribute value format requirement.
12. The apparatus of claim 9, wherein the apparatus further comprises:
the judging module is used for judging whether the specification attribute value is null or not;
and the second determining module is used for acquiring the commodity name corresponding to the second commodity identification if the specification attribute value is null, and determining the specification attribute value of the specification attribute field according to the commodity name.
13. The apparatus of claim 12, wherein the second determining module is to:
acquiring attribute value format requirements corresponding to the specification attribute fields;
and extracting fields meeting the attribute value format requirements from the commodity names as specification attribute values corresponding to the specification attribute fields.
14. The apparatus of claim 12, wherein the second determining module is to:
acquiring a candidate specification attribute set of the specification attribute field corresponding to the commodity class and the brand name, wherein the candidate specification attribute set comprises a plurality of candidate specification attribute values;
performing word segmentation on the commodity name to obtain a word segmentation result of the commodity name;
and selecting the candidate specification attribute value with the maximum similarity and larger than a preset similarity threshold value from the plurality of candidate specification attribute values as the specification attribute value corresponding to the specification attribute field according to the similarity between each candidate specification attribute sub and the word segmentation result.
15. An electronic device, comprising: a memory, a processor; the memory stores computer instructions which, when executed by the processor, implement a method of processing merchandise information according to any one of claims 1-7.
16. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the processing method of commodity information according to any one of claims 1 to 7.
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