CN111400339A - Retrieval method and system for reverse analysis of product database identifier - Google Patents
Retrieval method and system for reverse analysis of product database identifier Download PDFInfo
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- CN111400339A CN111400339A CN202010154921.9A CN202010154921A CN111400339A CN 111400339 A CN111400339 A CN 111400339A CN 202010154921 A CN202010154921 A CN 202010154921A CN 111400339 A CN111400339 A CN 111400339A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention discloses a retrieval method and a system for reversely analyzing product database identification, wherein the method comprises the steps of firstly, acquiring a query text input by a user; performing word segmentation and normalization processing on the query text to obtain a search word set; extracting a product identification code corresponding to the retrieval word set from an identification list; acquiring product information according to the product identification code, and displaying the product information on a display screen; according to the technical scheme, the product information is acquired on the premise of not depending on the identification information input by the user, so that the acquisition efficiency of the product information is improved.
Description
Technical Field
The invention relates to the technical field of Internet of things and industrial Internet, in particular to a retrieval method and a retrieval system for reverse analysis of product database identifiers.
Background
At present, an internet identification system mainly comprises a Handle system, and the Handle system has a mature and compatible coding rule, a stable background analysis system and an autonomous and controllable global distributed management architecture, so that the internet identification system has the technical characteristics of maturity, uniqueness, safety, compatibility and expandability, and provides globally uniform identification analysis service and information management service meeting international standards for the internet of things and industrial internet, and further the Handle system is widely applied to the field of supply chain management.
In the prior art, a Handle system mainly queries an information system address where a product is located according to an identification prefix, and then queries attribute information corresponding to the product in the information system by using the identification suffix. For example, an information system IP corresponding to 100000.449202.40493 is queried through 100000.449202.40493/ac299302, and then attribute (product name, product model, manufacturer name, production time, and the like) information corresponding to a product of ac299302 is queried in the information system corresponding to the IP, so that it can be seen that the Handle system needs to obtain product identification information input by a user to obtain a product attribute corresponding to the identification information, but the identification information is relatively complex, and once the user cannot accurately enter the product identification information, the corresponding product attribute cannot be obtained, so that the information obtaining efficiency is reduced, and the user experience is affected.
Disclosure of Invention
The embodiment of the invention provides a retrieval method and a retrieval system for reverse analysis of product database identifiers, which can realize the acquisition of product information on the premise of not depending on the input of identification information by a user, thereby improving the acquisition efficiency of the product information.
In order to solve the above technical problem, an embodiment of the present invention provides a retrieval method for reverse parsing of a product database identifier, including:
acquiring a query text input by a user;
performing word segmentation and normalization processing on the query text to obtain a search word set;
extracting a product identification code corresponding to the retrieval word set from an identification list;
and acquiring product information according to the product identification code, and displaying the product information on a display screen.
As a preferred scheme, the identification list comprises a plurality of pieces of identification information; each identification information is composed of a second keyword and a product identification code to be matched corresponding to the second keyword, and specifically comprises the following steps:
acquiring N product identification codes to be matched and product information corresponding to each product identification code to be matched one by one, wherein N is an integer larger than 1;
performing word segmentation processing on each product information to obtain a first keyword set;
preprocessing the first keyword set to obtain a second keyword set;
and establishing a mapping relation between each second keyword in the second keyword set and each product identification code to be matched to obtain the identification information.
As a preferred scheme, the preprocessing is performed on the first keyword set to obtain a second keyword set, and specifically the method comprises the following steps:
judging whether first keywords with the same concept exist in the first keyword set;
if first keywords with the same concept exist, performing normalization processing on the first keyword set to obtain a second keyword set;
and if the first keywords with the same concept do not exist, marking the first keyword set as the second keyword set.
As a preferred scheme, the preprocessing is performed on the first keyword set to obtain a second keyword set, and specifically the method comprises the following steps:
judging whether first keywords with the same character strings exist in the first keyword set;
if first keywords with the same character strings exist, performing duplicate removal processing on the first keyword set to obtain a second keyword set;
and if the first keyword set with the same character string does not exist, marking the first keyword set as the second keyword set.
As a preferred scheme, the preprocessing is performed on the first keyword set to obtain a second keyword set, and specifically the method comprises the following steps:
judging whether a first keyword with the same concept and a first keyword with the same character string exist in the first keyword set;
if the first keywords with the same concept and the first keywords with the same character string exist, normalizing and de-duplicating the first keyword set to obtain a second keyword set;
and if the first keywords with the same concept and the first keywords with the same character string do not exist, marking the first keyword set as the second keyword set.
As a preferred scheme, the extracting the product identification code corresponding to the search word set from the identification list specifically includes:
the search term set comprises M search terms, wherein M is an integer greater than 1;
extracting a product identification code to be matched corresponding to each search word from the identification list according to the search words and the second keywords to obtain the product identification code to be screened;
and counting the occurrence frequency of each product identification code to be screened, and taking the product identification code to be screened with the highest occurrence frequency as the product identification code.
Preferably, the product identification code is composed of an enterprise identification and a product identification.
As a preferred scheme, the performing word segmentation and normalization processing on the query text to obtain a search term set specifically includes:
performing word segmentation processing on the query text to obtain a query word segmentation set;
judging whether the query participles with the same concept exist in the query participle set or not;
if the query participles with the same concept exist, performing normalization processing on the query participle set to obtain the search term set;
and if the query participles with the same concept do not exist, marking the query participle set as the search term set.
Preferably, the identification list is compressed and stored in the system.
Correspondingly, the invention also provides a retrieval system for reversely analyzing the product database identifier, which comprises the following steps:
the acquisition module is used for acquiring a query text input by a user;
the processing module is used for performing word segmentation and normalization processing on the query text to obtain a search word set;
the extraction module is used for extracting the product identification codes corresponding to the retrieval word set from the identification list;
and the pushing module is used for acquiring product information according to the product identification code and displaying the product information on a display screen.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a retrieval method for reversely analyzing product database identification, which comprises the steps of firstly obtaining a query text input by a user; performing word segmentation and normalization processing on the query text to obtain a search word set; extracting a product identification code corresponding to the retrieval word set from an identification list; compared with the prior art that product attribute information is acquired through product identification information, the technical scheme of the invention does not need to rely on the product identification information input by a user to acquire the product attribute information, but acquires the product attribute information through the query text input by the user, so that the mode of acquiring the product attribute information is diversified, the retrieval efficiency of the product information is improved, and the user experience is improved.
Drawings
FIG. 1 is a schematic flowchart of a first embodiment of a retrieval method for reverse parsing product database identifiers according to the present invention;
fig. 2 is a schematic structural diagram of a second embodiment of the retrieval system for reverse parsing of product database identifiers provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment:
fig. 1 is a schematic flow chart of an embodiment of a retrieval method for reverse parsing of product database identifiers according to the present invention; as shown in fig. 1, the method includes steps 101 to 104, and each step is as follows:
step 101: and acquiring the query text input by the user.
In one preferred embodiment, the query text may be the name, manufacturer, and production place of the product, and may also be a functional attribute word of the product, for example, the functional attribute word of the camera is "camera shooting", and the functional attribute word of the air conditioner is "cooling" and "heating".
In this embodiment, a user wants to query detailed attribute information of a certain hail vertical cabinet type air conditioner, but does not know a product identification code thereof, and then the user can input the 'vertical hall type air conditioner' for query, so that the condition that the user can also query product information on the premise of not knowing the product identification code is avoided, the product information acquisition efficiency is improved, and the user experience is improved.
Step 102: and performing word segmentation and normalization processing on the query text to obtain a search word set.
In one preferred embodiment, step 102 specifically includes: performing word segmentation processing on the query text to obtain a query word segmentation set; judging whether the query participles with the same concept exist in the query participle set or not; if the query participles with the same concept exist, performing normalization processing on the query participle set to obtain a search term set; and if the query participles with the same concept do not exist, marking the query participle set as a search term set. It should be noted that the normalization process is to map different attribute words expressing the same concept to one word, and may be specifically implemented based on a synonym library.
For example, the query text is a cabinet type hail air conditioner, the query text is subjected to word segmentation and normalization processing to form search words of the cabinet type hail air conditioner, and the search words of the cabinet type hail air conditioner form a search word set; if the query text is 'Hua is a mobile phone', then a search word of 'Hua is' and 'mobile phone' is formed.
In one preferred embodiment, the word segmentation process adopts a character string matching and word segmentation method based on the attribute dictionary, that is, the character strings are matched through forward scanning, and if a certain character string is found in the attribute dictionary, the matching is successful. The method can quickly and accurately perform word segmentation processing on the user retrieval content in the industrial internet identification system environment, and improves the retrieval accuracy and the retrieval efficiency.
Step 103: and extracting the product identification code corresponding to the retrieval word set from the identification list.
In one preferred embodiment, the identification list comprises a plurality of pieces of identification information; wherein, every identifying information comprises the product identification code that waits to match that second keyword and second keyword correspond, specifically is: acquiring N product identification codes to be matched and product information corresponding to each product identification code to be matched one by one, wherein N is an integer larger than 1; performing word segmentation processing on each product information to obtain a first keyword set; preprocessing the first keyword set to obtain a second keyword set; and establishing a mapping relation between each second keyword in the second keyword set and each product identification code to be matched to obtain identification information.
In one preferred embodiment, the first keyword set is preprocessed to obtain a second keyword set, and the method specifically includes: judging whether first keywords with the same concept exist in the first keyword set; if the first keywords with the same concept exist, performing normalization processing on the first keyword set to obtain a second keyword set; if the first keyword set does not have the same concept, the first keyword set is marked as a second keyword set, it should be noted that the normalization process is to map different attribute words expressing the same concept to one word, and the normalization process can be specifically realized based on a synonym library.
For example, the first keyword set includes "mobile phone", "wireless phone" and "cordless phone", and the keywords are normalized to "mobile phone", and the keywords are unified to "camera", for example, "camera", "video", "photography" and "motion picture capture".
In one preferred embodiment, the first keyword set is preprocessed to obtain a second keyword set, and the method specifically includes: judging whether first keywords with the same character strings exist in the first keyword set; if the first keywords with the same character strings exist, performing duplicate removal processing on the first keyword set to obtain a second keyword set; and if the first keyword with the same character string does not exist, marking the first keyword set as a second keyword set.
For example, if the first keyword set includes a plurality of "mobile phone" keywords, only one "mobile phone" keyword is retained, and the rest "mobile phone" keywords are excluded from the first keyword set.
In one preferred embodiment, the first keyword set is preprocessed to obtain a second keyword set, and the method specifically includes: judging whether a first keyword with the same concept and a first keyword with the same character string exist in the first keyword set; if the first keywords with the same concept and the first keywords with the same character string exist, the first keyword set is subjected to normalization and de-duplication processing to obtain a second keyword set; and if the first keywords with the same concept and the first keywords with the same character string do not exist, marking the first keyword set as a second keyword set.
In one preferred embodiment, the product identification code to be matched is composed of an enterprise identifier and a product identifier, and it should be noted that when an enterprise registers in the system, the system allocates a unique enterprise identifier to each enterprise, for example, the enterprise identifier is "88.111.0001" in the registered enterprise information of "beijing", which is the top-level node of the national analysis of industrial internet identifier of registration service organization "haier of china; the enterprise assigned a product identification to each product within the enterprise, for example, haier, china produced a type a air conditioner that was coded "ac.158" within the enterprise, and thus the product identification code for type a air conditioner in haier, china was "88.111.0001/ac.158".
In this embodiment, the product information corresponding to each product identification code includes a function, a name, a brand, a model, and a type, and the following takes an a-type air conditioner in hail, china as an example:
| attribute name | Attribute value | Data type |
| Function(s) | Refrigeration system | Character string |
| Function(s) | Heating apparatus | Character string |
| Name (R) | Air conditioner | Character string |
| Brand | Haier | Character string |
| Model number | KFR－72LW－AU1 | Character string |
| Type of air conditioner | Vertical cabinet type | Character string |
In one preferred embodiment, the identification list is constructed by the following steps: the method comprises the following steps: the method comprises the steps of obtaining product identification codes to be matched and product information corresponding to the product identification codes to be matched, carrying out word segmentation processing on each product information, and obtaining a first keyword set, wherein specific details can be seen in the following list:
| product identification code | Attribute value |
| 88.111.0001/ac.158 | Refrigerating, heating, air conditioning, Haier, KFR-72L W-AU 1, vertical cabinet type |
| 88.111.0001/ac.12 | Refrigerating, heating, air conditioning, Haier, KFR-72L W-AU 5, vertical cabinet type |
| 88.111.0001/k.11 | Refrigeration, air-conditioning, EFD-19 DFS1, wall-hanging |
| 88.111.0001/k.115 | Refrigeration, heating, air conditioning, shelf power, EFD-19 DFS14, wall-mounted |
Step two: preprocessing the first keywords to obtain a second keyword set, establishing a mapping relation between each second keyword in the second keyword set and each product identification code to be matched, obtaining identification information, and forming an identification list by the identification information, wherein specific details can be seen in the following list:
in one preferred embodiment, step 103 comprises the following steps: the search term set comprises M search terms, wherein M is an integer greater than 1; extracting the product identification code to be matched corresponding to each search word from the identification list according to the search words and the second key words to obtain the product identification code to be screened; and counting the occurrence frequency of each product identification code to be screened, and taking the product identification code to be screened with the highest occurrence frequency as the product identification code.
For example, the query text is "vertical hall air conditioner", the search terms are "vertical hall", "hall" and "air conditioner", and each search term is compared with the second keyword of the identification list, so that the qualified product identification codes are "88.111.0001/ac.158, 88.111.0001/ac.12".
In one preferred embodiment, the product identifier is comprised of an enterprise identifier and a product identifier, such as a system-generated enterprise identifier prefixed to the product identifier and a system-generated product identifier suffixed to the product identifier.
In one preferred embodiment, the identification list is stored in the system after being compressed; it should be noted that the number of enterprises is large, and the number of products in each enterprise is also large, so that the data of the identification list is huge, and if the identification list is compressed, the storage space of the system can be effectively saved.
Step 104: and acquiring product information according to the product identification code, and displaying the product information on a display screen.
In one preferred embodiment, the product identification codes are sorted according to the sequence of the occurrence times from most to least, and the sorting result is pushed to a display screen; for example, there are 300 retrieved product identifiers, and due to the large number of product identifiers, the client may perform paging query and display on the product identifiers, for example, a default setting is to set one page to display 20 results, and then the client only performs query on the first 20 identifiers to obtain and display the corresponding 20 detailed attributes. When the user turns pages, the identification of the current page is inquired and displayed.
In this embodiment, the reverse analysis of the identifier refers to obtaining the product identifier according to the keyword related to the product, and then obtaining the product attribute information according to the product identifier, so that the user does not need to remember the product identifier in a firm manner, and the user experience is improved.
In view of the above, the retrieval method for reverse analysis of product database identifiers provided by the embodiment of the present invention includes acquiring a query text input by a user; performing word segmentation and normalization processing on the query text to obtain a search word set; extracting a product identification code corresponding to the retrieval word set from the identification list; compared with the prior art that the product attribute information is acquired through the product identification information, the technical scheme of the invention does not need to rely on the product identification information input by the user to acquire the product attribute information, but acquires the product attribute information through the query text input by the user, so that the mode of acquiring the product attribute information is diversified, the retrieval efficiency of the product information is improved, and the user experience is improved.
Second embodiment:
fig. 2 is a schematic structural diagram of a retrieval system for reverse parsing product database identifiers according to a second embodiment of the present invention, where the retrieval system includes: the device comprises an acquisition module 201, a processing module 202, an extraction module 203 and a push module 204.
An obtaining module 201, configured to obtain a query text input by a user;
the processing module 202 is configured to perform word segmentation and normalization processing on the query text to obtain a search term set;
the extraction module 203 is used for extracting the product identification codes corresponding to the retrieval word set from the identification list;
and the pushing module 204 is used for acquiring the product information according to the product identification code and displaying the product information on the display screen.
The more detailed working principle and flow of this embodiment can be, but are not limited to, refer to the retrieval method of the product database identifier reverse parsing of the first embodiment.
Therefore, the technical scheme of the invention does not need to rely on the product identification information input by the user to obtain the product attribute information, but obtains the product attribute information through the query text input by the user, so that the mode of obtaining the product attribute information is diversified, the retrieval efficiency of the product information is improved, and the user experience is improved.
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.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A retrieval method for reverse analysis of product database identification is characterized by comprising the following steps:
acquiring a query text input by a user;
performing word segmentation and normalization processing on the query text to obtain a search word set;
extracting a product identification code corresponding to the retrieval word set from an identification list;
and acquiring product information according to the product identification code, and displaying the product information on a display screen.
2. The method for reverse-resolution retrieval of product database identification according to claim 1, wherein the identification list includes a plurality of pieces of identification information; each identification information is composed of a second keyword and a product identification code to be matched corresponding to the second keyword, and specifically comprises the following steps:
acquiring N product identification codes to be matched and product information corresponding to each product identification code to be matched one by one, wherein N is an integer larger than 1;
performing word segmentation processing on each product information to obtain a first keyword set;
preprocessing the first keyword set to obtain a second keyword set;
and establishing a mapping relation between each second keyword in the second keyword set and each product identification code to be matched to obtain the identification information.
3. The product database identifier reverse parsing search method according to claim 2, wherein the preprocessing is performed on the first keyword set to obtain a second keyword set, and specifically:
judging whether first keywords with the same concept exist in the first keyword set;
if first keywords with the same concept exist, performing normalization processing on the first keyword set to obtain a second keyword set;
and if the first keywords with the same concept do not exist, marking the first keyword set as the second keyword set.
4. The product database identifier reverse parsing search method according to claim 2, wherein the preprocessing is performed on the first keyword set to obtain a second keyword set, and specifically:
judging whether first keywords with the same character strings exist in the first keyword set;
if first keywords with the same character strings exist, performing duplicate removal processing on the first keyword set to obtain a second keyword set;
and if the first keyword set with the same character string does not exist, marking the first keyword set as the second keyword set.
5. The product database identifier reverse parsing search method according to claim 2, wherein the preprocessing is performed on the first keyword set to obtain a second keyword set, and specifically:
judging whether a first keyword with the same concept and a first keyword with the same character string exist in the first keyword set;
if the first keywords with the same concept and the first keywords with the same character string exist, normalizing and de-duplicating the first keyword set to obtain a second keyword set;
and if the first keywords with the same concept and the first keywords with the same character string do not exist, marking the first keyword set as the second keyword set.
6. The method according to any one of claims 3 to 5, wherein the extracting of the product identifier corresponding to the set of search terms from the identifier list specifically comprises:
the search term set comprises M search terms, wherein M is an integer greater than 1;
extracting a product identification code to be matched corresponding to each search word from the identification list according to the search words and the second keywords to obtain the product identification code to be screened;
and counting the occurrence frequency of each product identification code to be screened, and taking the product identification code to be screened with the highest occurrence frequency as the product identification code.
7. The method for retrieving the product database identifier reverse analysis according to any of the claims 3 to 5, wherein the product identifier is composed of an enterprise identifier and a product identifier.
8. The product database identifier reverse parsing search method according to claim 1, wherein the query text is subjected to word segmentation and normalization to obtain a search term set, specifically:
performing word segmentation processing on the query text to obtain a query word segmentation set;
judging whether the query participles with the same concept exist in the query participle set or not;
if the query participles with the same concept exist, performing normalization processing on the query participle set to obtain the search term set;
and if the query participles with the same concept do not exist, marking the query participle set as the search term set.
9. The method for reverse-resolution retrieval of product database identification as recited in claim 1, wherein the list of identifications is compressed and stored in the system.
10. A retrieval system for reverse resolution of product database identifiers, comprising:
the acquisition module is used for acquiring a query text input by a user;
the processing module is used for performing word segmentation and normalization processing on the query text to obtain a search word set;
the extraction module is used for extracting the product identification codes corresponding to the retrieval word set from the identification list;
and the pushing module is used for acquiring product information according to the product identification code and displaying the product information on a display screen.
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