CN113436021A - Intelligent identification and storage method and system for commercial product data - Google Patents
Intelligent identification and storage method and system for commercial product data Download PDFInfo
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- CN113436021A CN113436021A CN202111000225.3A CN202111000225A CN113436021A CN 113436021 A CN113436021 A CN 113436021A CN 202111000225 A CN202111000225 A CN 202111000225A CN 113436021 A CN113436021 A CN 113436021A
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Abstract
The invention belongs to the technical field of data acquisition and processing, and discloses a commercial product data intelligent identification and storage method and system, which comprises the following steps: acquiring historical data of commercial product data purchase and establishing an initial historical data set; acquiring purchase classification data of newly purchased products and establishing a purchase data set; respectively searching identification classification data in the initial historical data set and the purchasing data set according to commodity information of purchased products; judging whether the identification classification data are matched with the commodity information in the initial historical data set and the purchasing data set; if yes, outputting the identification classification data and storing the identification classification data to a cloud server; and the cloud server correspondingly updates the commodity information of the purchased product to the initial historical data set according to the identification classification data. According to the invention, intelligent storage and classification of purchased products are realized, and the efficiency and the precision are improved.
Description
Technical Field
The invention belongs to the technical field of data acquisition and processing, and particularly relates to a commercial product data intelligent identification and storage method and system.
Background
The purchasing refers to that an enterprise acquires products or services from a supply market under certain conditions to serve as enterprise resources so as to ensure that the enterprise production and operation activities are normally carried out, along with market development, the transaction scale of the cross-border e-commerce keeps a rapid growth posture, in the purchasing link of import and export trade, the purchasing management and the inventory management have important influence on the continuous operation capacity of the cross-border e-commerce enterprise as a key link of a supply chain, and currently, when newly purchasing products, the uniform classified storage of the newly purchased products is stopped at the stage of manual screening.
Therefore, how to intelligently identify, classify and store products and improve efficiency and accuracy becomes a technical problem to be solved urgently.
Disclosure of Invention
The present invention is directed to a method and a system for intelligently identifying and storing commercial product data to solve the above-mentioned problems.
Therefore, according to a first aspect, an embodiment of the present invention discloses a commercial product data intelligent identification storage method, including: acquiring historical data of commercial product data purchase and establishing an initial historical data set;
acquiring purchase classification data of newly purchased products and establishing a purchase data set;
respectively searching identification classification data in the initial historical data set and the purchasing data set according to commodity information of purchased products;
judging whether the identification classification data are matched with the commodity information in the initial historical data set and the purchasing data set;
if yes, outputting the identification classification data and storing the identification classification data to a cloud server;
and the cloud server correspondingly updates the commodity information of the purchased product to the initial historical data set according to the identification classification data.
The invention is further configured to: searching for identification classification data in the initial historical data set and the procurement data set respectively according to the commodity information of the purchased product comprises:
acquiring commodity information of a purchased product;
calculating and obtaining the similarity between the commodity information and the historical data in the initial historical data set;
outputting a comparison result once after the similarity is greater than or equal to a preset matching value;
calculating a secondary screening result of the purchasing classification data and the commodity information in the purchasing data set according to the primary comparison result;
and determining the purchasing classification data with the highest similarity of the secondary screening results as target classification data.
The invention is further configured to: before the cloud server correspondingly updates the commodity information of the purchased product to the initial historical data set according to the identification classification data, the method further comprises the following steps:
and storing the identification classification data to a local server.
According to a second aspect, an embodiment of the present invention provides a commercial product data intelligent identification storage device, including: the history collection module is used for acquiring historical data of commercial product data purchase and establishing an initial history data collection;
the new purchase collection module is used for acquiring purchase classification data of newly purchased products and establishing a purchase data collection;
the searching module is used for respectively searching identification classification data in the initial historical data set and the purchasing data set according to commodity information of purchased products;
the judging module is used for judging whether the identification classification data are matched with the commodity information in the initial historical data set and the purchasing data set;
the output module is used for outputting the identification classification data and storing the identification classification data to the cloud server if the identification classification data is true;
and the updating module is used for correspondingly updating the commodity information of the purchased product to the initial historical data set by the cloud server according to the identification classification data.
The invention is further configured to: the searching module comprises:
an acquisition unit for acquiring commodity information of a purchased product;
the primary screening unit is used for calculating and obtaining the similarity between the commodity information and the historical data in the initial historical data set, and outputting a primary comparison result after the similarity is greater than or equal to a preset matching value;
the secondary screening unit is used for calculating a secondary screening result of the purchase classification data and the commodity information in the purchase data set according to the primary comparison result;
and the confirmation unit is used for determining the purchasing classification data with the highest similarity of the secondary screening results as the target classification data.
The invention is further configured to: further comprising: and the local storage module is used for storing the identification classification data to a local server.
According to a third aspect, the present invention provides a computer device comprising a processor for executing a computer program stored in a memory to implement the intelligent identification and storage method for commercial product data of any one of the first aspect.
According to a fourth aspect, the present invention provides a computer readable storage medium, on which a computer program is stored, wherein a processor is configured to execute the computer program stored in the storage medium to implement the intelligent identification and storage method for commercial product data of any one of the first aspect.
In summary, compared with the prior art, the invention has the beneficial effects that: the intelligent storage and classification of the purchased products are realized, the efficiency and the precision are improved, the labor cost is saved, and the benefit is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for intelligently identifying and storing commercial product data according to the present embodiment;
fig. 2 is a block diagram of a commercial product data intelligent identification storage system according to the embodiment.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and embodiments, it being understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Furthermore, the technical features mentioned in the different embodiments of the present invention described above may be combined with each other as long as they do not conflict with each other.
A method for intelligently identifying and storing commercial product data, as shown in fig. 1, includes:
and step S101, acquiring historical data of commercial product data purchase and establishing an initial historical data set.
And step S102, acquiring purchasing classification data of newly purchased products and establishing a purchasing data set.
Step S103, respectively searching identification classification data in the initial historical data set and the purchasing data set according to the commodity information of the purchased product.
In a specific implementation process, the searching for identification classification data in the initial historical data set and the purchasing data set according to the commodity information of the purchased product respectively comprises:
acquiring commodity information of a purchased product;
calculating and obtaining the similarity between the commodity information and the historical data in the initial historical data set;
outputting a comparison result once after the similarity is greater than or equal to a preset matching value;
calculating a secondary screening result of the purchasing classification data and the commodity information in the purchasing data set according to the primary comparison result;
and determining the purchasing classification data with the highest similarity of the secondary screening results as target classification data.
Step S104, judging whether the identification classification data are matched with the commodity information in the initial historical data set and the purchasing data set.
Step S105, if yes, outputting the identification classification data and storing the identification classification data to a cloud server.
And step S106, the cloud server correspondingly updates the commodity information of the purchased product to the initial historical data set according to the identification classification data.
Optionally, before the cloud server correspondingly updates the commodity information of the purchased product to the initial historical data set according to the identification classification data, the method further includes: and storing the identification classification data to a local server.
In conclusion, the invention has the following beneficial effects: the invention discloses an intelligent identification and storage method for commercial product data, which comprises the steps of obtaining historical data purchased by the commercial product data and establishing an initial historical data set; acquiring purchase classification data of newly purchased products and establishing a purchase data set; respectively searching identification classification data in the initial historical data set and the purchasing data set according to commodity information of purchased products; judging whether the identification classification data are matched with the commodity information in the initial historical data set and the purchasing data set; if yes, outputting the identification classification data and storing the identification classification data to a cloud server; the cloud server correspondingly updates the commodity information of the purchased products to the initial historical data set according to the identification classification data, and through the arrangement, intelligent storage and classification of the purchased products are achieved, the efficiency and the accuracy are improved, the labor cost is saved, and the benefits are improved.
This embodiment also discloses a commercial product data intelligent identification storage system, includes:
a history collection module 201, configured to obtain historical data of data purchase of commercial products and establish an initial history data collection;
a new purchase aggregation module 202, configured to obtain purchase classification data of a newly purchased product and establish a purchase data aggregation;
the searching module 203 is used for respectively searching identification classification data in the initial historical data set and the purchasing data set according to the commodity information of the purchased product;
a determining module 204, configured to determine whether the identification classification data matches the commodity information in the initial historical data set and the purchase data set;
an output module 205, configured to output the identifier classification data and store the identifier classification data in the cloud server if the identifier classification data is positive;
an updating module 206, configured to update, by the cloud server, the commodity information of the purchased product to the initial historical data set according to the identification classification data.
Optionally, the searching module includes:
an acquisition unit for acquiring commodity information of a purchased product;
the primary screening unit is used for calculating and obtaining the similarity between the commodity information and the historical data in the initial historical data set, and outputting a primary comparison result after the similarity is greater than or equal to a preset matching value;
the secondary screening unit is used for calculating a secondary screening result of the purchase classification data and the commodity information in the purchase data set according to the primary comparison result;
and the confirmation unit is used for determining the purchasing classification data with the highest similarity of the secondary screening results as the target classification data.
Wherein, still include: and the local storage module is used for storing the identification classification data to a local server.
In addition, an embodiment of the present invention further provides a computer apparatus, where a processor executes the computer instructions, so as to implement the following method:
acquiring historical data of commercial product data purchase and establishing an initial historical data set; acquiring purchase classification data of newly purchased products and establishing a purchase data set; respectively searching identification classification data in the initial historical data set and the purchasing data set according to commodity information of purchased products; judging whether the identification classification data are matched with the commodity information in the initial historical data set and the purchasing data set; if yes, outputting the identification classification data and storing the identification classification data to a cloud server; and the cloud server correspondingly updates the commodity information of the purchased product to the initial historical data set according to the identification classification data.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or the like. The computer processor is used to execute a computer program stored in a storage medium to implement the following method:
acquiring historical data of commercial product data purchase and establishing an initial historical data set; acquiring purchase classification data of newly purchased products and establishing a purchase data set; respectively searching identification classification data in the initial historical data set and the purchasing data set according to commodity information of purchased products; judging whether the identification classification data are matched with the commodity information in the initial historical data set and the purchasing data set; if yes, outputting the identification classification data and storing the identification classification data to a cloud server; and the cloud server correspondingly updates the commodity information of the purchased product to the initial historical data set according to the identification classification data.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that variations and modifications can be made by those skilled in the art without departing from the structure of the present invention. These should also be construed as the scope of the present invention, and they should not be construed as affecting the effectiveness of the practice of the present invention or the applicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (8)
1. A commercial product data intelligent identification storage method is characterized by comprising the following steps:
acquiring historical data purchased by commercial products and establishing an initial historical data set;
acquiring purchase classification data of newly purchased products and establishing a purchase data set;
respectively searching identification classification data in the initial historical data set and the purchasing data set according to commodity information of purchased products;
judging whether the identification classification data are matched with the commodity information in the initial historical data set and the purchasing data set;
if yes, outputting the identification classification data and storing the identification classification data to a cloud server;
and the cloud server correspondingly updates the commodity information of the purchased product to the initial historical data set according to the identification classification data.
2. The method of claim 1, wherein searching for identification classification data in the initial historical data set and the procurement data set respectively according to merchandise information of a purchased product comprises:
acquiring commodity information of a purchased product;
calculating and obtaining the similarity between the commodity information and the historical data in the initial historical data set;
outputting a comparison result once after the similarity is greater than or equal to a preset matching value;
calculating a secondary screening result of the purchasing classification data and the commodity information in the purchasing data set according to the primary comparison result;
and determining the purchasing classification data with the highest similarity of the secondary screening results as target classification data.
3. The method of claim 1, wherein before the cloud server correspondingly updates the merchandise information of the purchased product to the initial historical data set according to the identification classification data, the method further comprises:
and storing the identification classification data to a local server.
4. A commercial product data intelligent identification storage system, comprising:
the history collection module is used for acquiring historical data purchased by commercial products and establishing an initial history data collection;
the new purchase collection module is used for acquiring purchase classification data of newly purchased products and establishing a purchase data collection;
the searching module is used for respectively searching identification classification data in the initial historical data set and the purchasing data set according to commodity information of purchased products;
the judging module is used for judging whether the identification classification data are matched with the commodity information in the initial historical data set and the purchasing data set;
the output module is used for outputting the identification classification data and storing the identification classification data to the cloud server if the identification classification data is true;
and the updating module is used for correspondingly updating the commodity information of the purchased product to the initial historical data set by the cloud server according to the identification classification data.
5. The intelligent identification and storage system for commercial product data according to claim 4, wherein the search module comprises:
an acquisition unit for acquiring commodity information of a purchased product;
the primary screening unit is used for calculating and obtaining the similarity between the commodity information and the historical data in the initial historical data set, and outputting a primary comparison result after the similarity is greater than or equal to a preset matching value;
the secondary screening unit is used for calculating a secondary screening result of the purchase classification data and the commodity information in the purchase data set according to the primary comparison result;
and the confirmation unit is used for determining the purchasing classification data with the highest similarity of the secondary screening results as the target classification data.
6. The intelligent identification and storage system of commercial product data according to claim 4, further comprising:
and the local storage module is used for storing the identification classification data to a local server.
7. A computer device comprising a processor for executing a computer program stored in a memory to implement the commercial product data smart identification storage method of any one of claims 1-3.
8. A computer-readable storage medium having a computer program stored thereon, wherein a processor is configured to execute the computer program stored in the storage medium to implement the commercial product data smart identification storage method according to any one of claims 1 to 3.
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Cited By (1)
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Application publication date: 20210924 |