CN109255011A - A kind of Search Hints method and electronic equipment based on artificial intelligence - Google Patents
A kind of Search Hints method and electronic equipment based on artificial intelligence Download PDFInfo
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- CN109255011A CN109255011A CN201810803868.3A CN201810803868A CN109255011A CN 109255011 A CN109255011 A CN 109255011A CN 201810803868 A CN201810803868 A CN 201810803868A CN 109255011 A CN109255011 A CN 109255011A
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- G06F8/31—Programming languages or programming paradigms
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Abstract
The present invention discloses a kind of Search Hints method and electronic equipment based on artificial intelligence, wherein method is comprising steps of A, all data in commodity list included in database all being imported and are collected in documents；In importing process, word library data source is created, the word library data source includes the product name that inventory is not 0 and all commodity in restocking state in the commodity list；B, when user's search commercial articles, the keyword of user's input is obtained；C, the keyword is matched with the word library data source, and obtains the product name of successful match, and be shown.Through the invention, when data import, if merchandise news in database changes can synchronous vacations create the value of field, thus can dynamically change search completion word library in the case where not establishing redundant field, and only recommend in restocking state and inventory be not 0 commodity.
Description
Technical field
The present invention relates to search field more particularly to a kind of Search Hints methods and electronic equipment based on artificial intelligence.
Background technique
Solr is at present using relatively more extensive a search engine, suggest component (it is recommended that component) group
Part is also the component that would generally be used when doing Search Hints (completion) function.The word library data that the component provides are come
There are two types of sources: one is the vocabulary in the dict.txt text for reading configuration, another kind is to extract collection document (to collect
Document) in all data in some field (being equivalent to the column in tables of data).Wherein, the first data source is inflexible, nothing
Method dynamically removes the word removed in real time, in addition or modification word library；And the second way equally exists under certain scene
Problem can all prompt the commodity that undercarriage or inventory are 0.
Therefore, the existing technology needs to be improved and developed.
Summary of the invention
In view of above-mentioned deficiencies of the prior art, the purpose of the present invention is to provide a kind of Search Hints based on artificial intelligence
Method and electronic equipment, it is intended to solve the problems, such as that Search Hints method is ineffective in the prior art.
Technical scheme is as follows:
A kind of Search Hints method based on artificial intelligence, wherein comprising steps of
A, all data in commodity list included in database are all imported and is collected in document；
In importing process, word library data source is created, the word library data source includes library in the commodity list
It deposits not as 0 and the product name of all commodity in restocking state；
B, when user's search commercial articles, the keyword of user's input is obtained；
C, the keyword is matched with the word library data source, and obtains the product name of successful match,
And it is shown.
The Search Hints method based on artificial intelligence, wherein in the step A, pass through dataImport component
All data in commodity list are imported and are collected in document.
The Search Hints method based on artificial intelligence, wherein include commodity id, commodity volume in the commodity list
Number, product name, commodity stocks and upper and lower rack-like state.
The Search Hints method based on artificial intelligence, wherein the step C is specifically included:
C1, the product name comprising the keyword is successively searched from the word library data source；
If C2, finding the product name comprising the keyword, it is shown.
A kind of electronic equipment, wherein include:
Processor is adapted for carrying out each instruction, and
Equipment is stored, is suitable for storing a plurality of instruction, described instruction is suitable for being loaded and being executed by processor:
All data in commodity list included in database are all imported and are collected in document；
In importing process, word library data source is created, the word library data source includes library in the commodity list
It deposits not as 0 and the product name of all commodity in restocking state；
When user's search commercial articles, the keyword of user's input is obtained；
The keyword is matched with the word library data source, and obtains the product name of successful match, and
It is shown.
The electronic equipment, wherein all data in commodity list are imported by dataImport component and collect text
In shelves.
The electronic equipment, wherein include commodity id, goods number, product name, commodity stocks in the commodity list
With upper and lower rack-like state.
The electronic equipment, wherein it is described to match the keyword with the word library data source, and obtain
The product name of successful match is taken, and the step of being shown specifically includes:
The product name comprising the keyword is successively searched from the word library data source；
If finding the product name comprising the keyword, it is shown.
The utility model has the advantages that through the invention, when data import, if merchandise news in database changes can synchronous vacations it is new
The value of field is built, thus can dynamically change search completion word library in the case where not establishing redundant field, and only push away
Recommend be not in restocking state and inventory 0 commodity.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the Search Hints method preferred embodiment based on artificial intelligence of the present invention.
Fig. 2 is the structural block diagram of a kind of electronic equipment preferred embodiment of the present invention.
Specific embodiment
The present invention provides a kind of Search Hints method and electronic equipment based on artificial intelligence, for make the purpose of the present invention,
Technical solution and effect are clearer, clear, and the present invention is described in more detail below.It should be appreciated that described herein
Specific embodiment is only used to explain the present invention, is not intended to limit the present invention.
Referring to Fig. 1, Fig. 1 is a kind of process of the Search Hints method preferred embodiment based on artificial intelligence of the present invention
Figure, as shown, itself comprising steps of
S1, all data in commodity list included in database are all imported and are collected in document；
In importing process, word library data source is created, the word library data source includes library in the commodity list
It deposits not as 0 and the product name of all commodity in restocking state；
S2, when user's search commercial articles, obtain user input keyword；
S3, the keyword is matched with the word library data source, and obtains the product name of successful match,
And it is shown.
Through the invention, when data import, if merchandise news in database changes can synchronous vacations create field
Value thus can dynamically change search completion word library in the case where not establishing redundant field, and only recommend in upper
Rack-like state and inventory are not 0 commodity.
It in the step S1, can will be in commodity list by dataImport component when using solr as search engine
Data all import in the collection documents (collect document) of solr.
It in the prior art, can be by goodsName when doing search completion prompting using suggest component component
Field configuration is associative field data source, this will lead to using product names all in commodity list as data source, no matter i.e. commodity
The state of rack-like up and down, inventory status, can all recommend without exception, this mode be clearly inaccuracy.For example, if commodity are in down
When rack-like state or inventory are zero, when search, is not intended in the option of prompt comprising these commodity, such as when user is in search box
When middle input " honor ", because " honor 10 ", by undercarriage, or input " ipho ", " iphoneX " inventory is 0, this two pieces commodity is all
It should not carry out completion prompting.
So in importing process, creating word library data source, the word library data source includes in the present invention
Inventory is not the product name of 0 and all commodity in restocking state in the commodity list.
Specifically, it is as follows to import the realization code configured for data:
The realization code of suggest component configuration is as follows:
<searchComponet name=" suggest " class=" solr.SuggestComponent ">
<lst name=" suggester ">
<str name="name">suggester</str>
<str name="lookupImpl">fuzzyLookupFactory</str>
<str name=dictionaryImpl>documentDictionaryFactory</str>
<str name="field">goodsNameSuggest</str>
<str name="suggestAnalyzerFieldType">text_suggest</str>
<str name="build0n0ptimize">true</str>
<str name="build0nCommit">true</str>
</lst>
In this way, can only match inventory in the commodity list is not 0 and owning in restocking state in subsequent searches
The product name of commodity is 0 or the commodity in undercarriage state without recommending inventory.
It further, include commodity id, goods number, product name, commodity stocks and upper and lower rack-like state in the commodity list.
Commodity id therein refers to commodity serial number, and goods number refers to that the number of commodity, product name generally refer to demonstration
Title, commodity stocks then refers to the current quantity in stock of commodity, and upper and lower rack-like state then refers to that commodity are in restocking state or undercarriage state.
The specific example of a commodity list is provided below:
GoodsId therein indicates that commodity id, goodsSn indicate that goods number, goodsName indicate product name,
GoodsCount indicates commodity stocks, and goodsStatus indicates rack-like state up and down.
In the step S2, when user's search commercial articles, the keyword of user's input is obtained；Such as user is in search column
When middle input keyword, corresponding keyword can be obtained.
Further, the step S3 is specifically included:
S31, the product name comprising the keyword is successively searched from the word library data source；
If S32, finding the product name comprising the keyword, it is shown.
In the step S31, the present invention is and traditional direct with trade name due to having created word library data source
Referred to as data source is different, so and it is indirect keyword is searched in product name, but in newly-built word library data
The product name comprising the keyword is searched in source.And inventory has been eliminated in word library data source and has been 0 or is in
The product name of all commodity of undercarriage state.So it is 0 and in restocking state that the present invention, which only can search out inventory not,
The product name of commodity.
As long as in this way, when merchandise news changes in database, synchronous vacations solr collects document after data import solr
The value of middle respective field, so that it may which, in the case where not establishing redundant field, dynamic changes search completion word library.
The present invention also provides a kind of electronic equipment 10, as shown in Fig. 2, comprising:
Processor 110 is adapted for carrying out each instruction, and
Equipment 120 is stored, is suitable for storing a plurality of instruction, described instruction is suitable for being loaded and being executed by processor 110:
All data in commodity list included in database are all imported and are collected in document；
In importing process, word library data source is created, the word library data source includes library in the commodity list
It deposits not as 0 and the product name of all commodity in restocking state；
When user's search commercial articles, the keyword of user's input is obtained；
The keyword is matched with the word library data source, and obtains the product name of successful match, and
It is shown.
The processor 110 can for general processor, digital signal processor (DSP), specific integrated circuit (ASIC),
Field programmable gate array (FPGA), single-chip microcontroller, ARM (Acorn RISC Machine) or other programmable logic device are divided
Any combination of vertical door or transistor logic, discrete hardware component or these components.In addition, processor can also be any
Conventional processors, microprocessor or state machine.Processor also may be implemented as calculating the combination of equipment, for example, DSP and Wei Chu
Manage combination, multi-microprocessor, one or more microprocessors combination DSP core, any other this configuration of device.
It stores equipment 120 and is used as a kind of non-volatile computer readable storage medium storing program for executing, can be used for storing non-volatile software
Program, non-volatile computer executable program and module, such as the corresponding journey of Search Hints method in the embodiment of the present invention
Sequence instruction.Processor is stored in non-volatile software program, instruction and unit in storage equipment by operation, thereby executing
The various function application and data processing of Search Hints method, i.e. realization above method embodiment.
Further, all data in commodity list are imported by dataImport component and is collected in document.
It further, include commodity id, goods number, product name, commodity stocks and upper and lower rack-like state in the commodity list.
Further, described to match the keyword with the word library data source, and obtain successful match
Product name, and the step of being shown specifically includes:
The product name comprising the keyword is successively searched from the word library data source；
If finding the product name comprising the keyword, it is shown.
In conclusion through the invention, when data import, if merchandise news in database changes can synchronous vacations it is new
The value of field is built, thus can dynamically change search completion word library in the case where not establishing redundant field, and only push away
Recommend be not in restocking state and inventory 0 commodity.
It should be understood that the application of the present invention is not limited to the above for those of ordinary skills can
With improvement or transformation based on the above description, all these modifications and variations all should belong to the guarantor of appended claims of the present invention
Protect range.
Claims (8)
1. a kind of Search Hints method based on artificial intelligence, which is characterized in that comprising steps of
A, all data in commodity list included in database are all imported and is collected in document；
In importing process, create word library data source, the word library data source include the commodity list in inventory not
For 0 and the product name of all commodity in restocking state；
B, when user's search commercial articles, the keyword of user's input is obtained；
C, the keyword is matched with the word library data source, and obtains the product name of successful match, gone forward side by side
Row is shown.
2. the Search Hints method according to claim 1 based on artificial intelligence, which is characterized in that in the step A, lead to
DataImport component is crossed to import all data in commodity list in collection document.
3. the Search Hints method according to claim 1 based on artificial intelligence, which is characterized in that wrapped in the commodity list
Include commodity id, goods number, product name, commodity stocks and upper and lower rack-like state.
4. the Search Hints method according to claim 1 based on artificial intelligence, which is characterized in that the step C is specific
Include:
C1, the product name comprising the keyword is successively searched from the word library data source；
If C2, finding the product name comprising the keyword, it is shown.
5. a kind of electronic equipment characterized by comprising
Processor is adapted for carrying out each instruction, and
Equipment is stored, is suitable for storing a plurality of instruction, described instruction is suitable for being loaded and being executed by processor:
All data in commodity list included in database are all imported and are collected in document；
In importing process, create word library data source, the word library data source include the commodity list in inventory not
For 0 and the product name of all commodity in restocking state；
When user's search commercial articles, the keyword of user's input is obtained；
The keyword is matched with the word library data source, and obtains the product name of successful match, and carry out
It shows.
6. electronic equipment according to claim 5, which is characterized in that by dataImport component by the institute in commodity list
There are data to import to collect in document.
7. electronic equipment according to claim 5, which is characterized in that in the commodity list include commodity id, goods number,
Product name, commodity stocks and upper and lower rack-like state.
8. electronic equipment according to claim 5, which is characterized in that described by the keyword and the word library number
It is matched according to source, and obtains the product name of successful match, and the step of being shown specifically includes:
The product name comprising the keyword is successively searched from the word library data source；
If finding the product name comprising the keyword, it is shown.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810803868.3A CN109255011B (en) | 2018-07-20 | 2018-07-20 | Search prompting method based on artificial intelligence and electronic equipment |
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|---|---|---|---|
| CN201810803868.3A CN109255011B (en) | 2018-07-20 | 2018-07-20 | Search prompting method based on artificial intelligence and electronic equipment |
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| CN109255011A true CN109255011A (en) | 2019-01-22 |
| CN109255011B CN109255011B (en) | 2021-07-02 |
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| CN114971816A (en) * | 2022-06-30 | 2022-08-30 | 唯品会(广州)软件有限公司 | Method and device for constructing commodity cue word index |
| CN115687756A (en) * | 2022-10-26 | 2023-02-03 | 深圳市灵智数字科技有限公司 | Search recommendation method and device |
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| CN115687756B (en) * | 2022-10-26 | 2023-07-14 | 深圳市灵智数字科技有限公司 | Search recommendation method and device |
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| Publication number | Publication date |
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| CN109255011B (en) | 2021-07-02 |
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