CN110209932A - A method of improving search efficiency - Google Patents
A method of improving search efficiency Download PDFInfo
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- CN110209932A CN110209932A CN201910413467.1A CN201910413467A CN110209932A CN 110209932 A CN110209932 A CN 110209932A CN 201910413467 A CN201910413467 A CN 201910413467A CN 110209932 A CN110209932 A CN 110209932A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
Abstract
The present invention provides a kind of methods for improving search efficiency: first, training in advance forms an extended model for being used for expanded search keyword, the input data of extended model is the search key of user's input, and the output data of extended model is the extension keyword being extended according to search key；Then the search key and composition keyword group of user's input are persistently obtained using search equipment；It then extends to obtain corresponding extension keyword for keyword group by extended model and forms updated keyword group；It is scanned for later using updated keyword group, and by search result active transmission to user, to the feedback information of search result and carries out judging whether to retain updated keyword group according to user.The present invention proposes that when core processor is in non-busy state, extension keyword simultaneously helps user to carry out relevant search, to reduce the time that user consumes in search, improves user's efficiency.
Description
Technical field
The present invention relates to field of information communication more particularly to a kind of methods for improving search efficiency.
Background technique
In current a networked society, the use of search engine has been an essential ring in modern people's life.It is existing
In major search engine all because of the high efficiency and accuracy that it has, people very convenient rapidly can obtain answer, have
When care some problem that can continue of people, so the corresponding keyword of search in a preset period of time repeatedly,
Sometimes people cannot correctly input most suitable keyword, thus cause the search of user in a long time repeatedly some
Or several contents, and the case where cannot find suitable keyword, these situations can all cause user to need to search for a large amount of close
Key word, and waste time.
Summary of the invention
In order to solve the above-mentioned existing problems, the present invention proposes a kind of method for improving search efficiency, specifically includes:
A method of search efficiency being improved, wherein training in advance forms an expanded mode for being used for expanded search keyword
Type, the input data of extended model are the search key of user's input, and the output data of extended model is crucial according to search
The extension keyword that word is extended；
The search key of user's input is persistently obtained using a search equipment, and executes following step:
Step S1, screening obtain user and input the search key that frequency is greater than a preset threshold in a preset period of time,
And form keyword group；
Step S2 extends to obtain corresponding extension keyword for keyword group using extended model；
Step S3 handles keyword group and corresponding extension keyword, to form updated keyword group；
Step S4 is scanned for using updated keyword group, and by search result active transmission to user；
Step S5 obtains user for the feedback information of search result and carries out judging whether to retain updated keyword
Group:
If feedback information indicates that user is satisfied to search result, retain updated keyword group, for subsequent
In search process；
If feedback information indicates that user is dissatisfied to search result, updated keyword group is deleted；
Equipment is subsequent repeats step S1-S5 for search, and the keyword group of reservation is stored into a storage unit；
In the search process of subsequent execution, search equipment is scanned for using the keyword group stored in storage unit；
Searching for includes a core processor in equipment, and core processor will execute step S1 and step in non-peak hours/period
S2。
Preferably, this kind improve search efficiency method, wherein non-peak hours/period are as follows: core processor low-voltage and/
Or the working hour to work under low frequency.
Preferably, the method that this kind improves search efficiency, wherein core processor is central processing unit or graphics process
Device perhaps application processor perhaps baseband processor or search equipment in memory device controller.
Preferably, the method that this kind improves search efficiency is handled after obtaining update wherein in step S3 using following manner
Keyword group:
At least one extension keyword is added in keyword group；
And/or at least one search key is deleted in keyword group；
And/or at least one search key in keyword group is substituted for corresponding extension keyword.
Preferably, the method that this kind improves search efficiency, wherein search equipment is intelligent terminal.
Preferably, the method that this kind improves search efficiency, wherein in step S4, before sending search result to user,
Duplicate contents first in adjus-ting searches result.
Preferably, the method that this kind improves search efficiency, wherein extended model has an extending database, extending database
In store all extension keywords associated by each search key.
Preferably, the method that this kind improves search efficiency wherein in step S1, is filtered out using artificial intelligence technology statistics
User inputs the search key that frequency is greater than a preset threshold in a preset period of time, and forms keyword group.
Preferably, the method that this kind improves search efficiency, uses artificial intelligence and the autonomous expanded search of machine learning techniques
Keyword in keyword group forms the extension keyword of each keyword and composition extension key word library.
Preferably, the method that this kind improves search efficiency, wherein the keyword in extension key word library, is crucial with search
The word that equivalent in meaning, the similar word of word and/or the meaning of searched keyword include, and/or contain search key
The word of the meaning, and/or have with the meaning of search key the word of intersection.
Preferably, the method that this kind improves search efficiency is replaced using the extension keyword in extension key word library and is corresponded to
Search key group in keyword and formed extension keyword group, and/or will extend key word library in extension keyword
Increase in search key group and forms extension keyword group and/or keyword in Delete Search keyword group and formed
Extend keyword group.
Preferably, all set of keywords expanded are denoted as search key by the method that this kind improves search efficiency
Extension key word library.
Preferably, the method that this kind improves search efficiency can set extension key word library packet wherein extending key word library
Number containing keyword.
Preferably, the method that this kind improves search efficiency, wherein the feature of extension keyword group includes:
Increasing keyword is from the corresponding extension key word library of one or more search keys in search key group
The middle one or more keywords that take out respectively are added to formation extension keyword group in search key group；
Deleting keyword is that one or more search keys are deleted from search key group, forms extension keyword
Group, extension keyword group contain at least one keyword；
Replacing keyword is from the corresponding extension key word library of one or more search keys in search key group
It is middle to take out corresponding search key in a keyword replacement search key group respectively, form extension keyword group；
Increase and/or delete and/or replace keyword, these three modes can while and/or be used alternatingly.
Preferably, this kind improve search efficiency method, wherein in step S4, core processor will in non-peak hours/period,
It is scanned for by extension keyword group, its is actively issued to user after obtaining search result, and collect the feedback information of user,
Wherein:
Feedback information, the information that whether new search result is satisfied with including user；
Search result further includes simultaneously the search result scanned for by search key group；
Further, search result eliminates the search result scanned for by search key group and by extension keyword group
The identical part of content in the search result scanned for.
Preferably, the method that this kind improves search efficiency, wherein in step S5, core processor is according to field feedback
Optimize expanded search.
Preferably, this kind improve search efficiency method, wherein core processor using one optimization expanded search mode into
Row optimization expanded search, optimization expanded search mode include:
The corresponding extension keyword group of search result that core processor record user is satisfied with；
Extension keyword group is denoted as search key group；
According to search key group, repeat the above steps S2 to S5.
Above-mentioned technical proposal have the following advantages that or the utility model has the advantages that
By the technical program, training in advance forms an extended model for being used for expanded search keyword, expanded mode first
The input data of type is the search key of user's input, and the output data of extended model is to be extended according to search key
Obtained extension keyword；Then the search key and composition keyword group of user's input are persistently obtained using search equipment；
It then extends to obtain corresponding extension keyword for keyword group by extended model and forms updated keyword group；It
It is scanned for afterwards using updated keyword group, and by search result active transmission to user, according to user to search result
Feedback information and carry out judging whether to retain updated keyword group.The present invention proposes to be in non-busy when core processor
When state, extension keyword simultaneously helps user to carry out relevant search, to reduce the time that user consumes in search, mentions
High user's efficiency.
Detailed description of the invention
Fig. 1 (a)-Fig. 1 (d) is the intersection of the keyword meaning, identical, packet in a kind of method for improving search efficiency of the present invention
Contain and by comprising schematic diagram；
Fig. 2 is to extend key word library schematic diagram in a kind of method for improving search efficiency of the present invention；
Fig. 3 is to form extension keyword group schematic diagram in a kind of method for improving search efficiency of the present invention；
Fig. 4 is the extension key word library comprising m keyword in a kind of method for improving search efficiency of the present invention；
Fig. 5 is a kind of flow diagram for the method for improving search efficiency of the present invention；
Fig. 6 be the present invention it is a kind of improve search efficiency method in, what embodiment search key A, B, C, a D was expanded
Corresponding extension key word library and extension keyword group schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art without creative labor it is obtained it is all its
His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
In preferred embodiment of the invention, it is based on the above-mentioned problems in the prior art, a kind of raising is now provided
The method of search efficiency is applied to field of information communication, and the method that this kind improves search efficiency specifically includes:
Training in advance forms an extended model for being used for expanded search keyword, and the input data of the extended model is user
The search key of input, the output data of extended model are the extension keyword being extended according to search key；
The search key of user's input is persistently obtained using a search equipment, as shown in figure 5, executing following step:
Step S1, screening obtain user and input the search key that frequency is greater than a preset threshold in a preset period of time,
And form keyword group；
Step S2 extends to obtain corresponding extension keyword for keyword group using extended model；
Step S3 handles keyword group and corresponding extension keyword, to form updated keyword group；
Step S4 is scanned for using updated keyword group, and by search result active transmission to user；
Step S5 obtains user for the feedback information of search result and carries out judging whether to retain updated keyword
Group:
If feedback information indicates that user is satisfied to search result, retain updated keyword group, for subsequent
In search process；
If feedback information indicates that user is dissatisfied to search result, updated keyword group is deleted；
Equipment is subsequent repeats step S1-S5 for search, and the keyword group of reservation is stored into a storage unit；
In the search process of subsequent execution, search equipment is scanned for using the keyword group stored in storage unit；
Searching for includes a core processor in equipment, and core processor will execute step S1 and step in non-peak hours/period
S2。
As the method that preferred embodiment, this kind improve search efficiency, wherein non-peak hours/period are as follows: core processor
The working hour to work under low-voltage and/or low frequency.
As the method that preferred embodiment, this kind improve search efficiency, wherein core processor is central processing unit,
Perhaps graphics processor perhaps application processor perhaps baseband processor or search equipment in memory device control
Device processed.
As the method that preferred embodiment, this kind improve search efficiency, wherein in step S3, at following manner
Reason obtains updated keyword group:
At least one extension keyword is added in keyword group；
And/or at least one search key is deleted in keyword group；
And/or at least one search key in keyword group is substituted for corresponding extension keyword.
As the method that preferred embodiment, this kind improve search efficiency, wherein search equipment is intelligent terminal.
As the method that preferred embodiment, this kind improve search efficiency, wherein in step S4, searched being sent to user
Duplicate contents before hitch fruit, first in adjus-ting searches result.
As the method that preferred embodiment, this kind improve search efficiency, wherein extended model has a growth data
Library stores all extension keywords associated by each search key in extending database.
As preferred embodiment, the method that this kind improves search efficiency uses artificial intelligence skill wherein in step S1
Art statistics filters out user and inputs the search key that frequency is greater than a preset threshold in a preset period of time, and forms keyword
Group.
As the method that preferred embodiment, this kind improve search efficiency, wherein preset period of time, can be 1 minute or 5
Minute or 10 minutes；Wherein preset threshold can be 10 beats/min or 15 beats/min or 20 beats/min.
In one embodiment of the invention, memory inner treater can be used, as the controller of memory is completed
Searching method.It include in host computer and the computer for storing equipment at one, search work usually is completed by host computer, upper
When position machine suspend mode or shutdown, the searching method improved efficiency completed by the processor in storage equipment, after the completion of search,
Search result is sent to host computer when host computer is waken up；Processing when host computer is standby or does not work, in memory
The data accumulated device is scanned for using host computer in the past when are learnt, and the method used extracts keyword, and extends key
Word recycles method proposed by the present invention to scan for using the keyword and original keyword expanded.
In this embodiment, using the processor of searching method proposed by the present invention with use when usually computer operation
Equipment be not it is same, processor is worked in the processor of host computer for handling main task in host computer, and/or with
When memory mutual data transmission, the processor in memory mainly plays the function of Memory Controller, in host computer and/or
When the memory free time, memory inner treater is scanned for using method proposed by the present invention.
As the method that preferred embodiment, this kind improve search efficiency, artificial intelligence and machine learning techniques are utilized
Autonomous expanded search keyword K1, K2 ... Ki ... Kp, forms the extension keyword of keyword in each search key group
Library.The relationship of the keyword and search key in key word library is extended as shown in Figure 1, K1 is search key, and K1 ' is extension
Keyword out, they it is equivalent in meaning, intersect, include and by comprising；Further, using artificial intelligence or machine learning skill
Art statistics filters out user and inputs search key K1, K2 ... that frequency is greater than a preset threshold in a preset period of time
Ki ... Kp is denoted as key combination.
As the method that preferred embodiment, this kind improve search efficiency, closed using the extension in extension key word library
Key word replaces the keyword in corresponding search key group and forms extension keyword group, and/or will extend in key word library
Extension keyword increase in search key group and formed in extension keyword group and/or Delete Search keyword group
Keyword and formed extension keyword group.
As the method that preferred embodiment, this kind improve search efficiency, all set of keywords expanded are remembered
For the extension key word library of search key.
As preferred embodiment, the method that this kind improves search efficiency can set expansion wherein extending key word library
Open up the number that key word library includes keyword.
As the method that preferred embodiment, this kind improve search efficiency, wherein the feature of extension keyword group includes:
Increasing keyword is from the corresponding extension key word library of one or more search keys in search key group
The middle one or more keywords that take out respectively are added to formation extension keyword group in search key group；
Deleting keyword is that one or more search keys are deleted from search key group, forms extension keyword
Group, extension keyword group contain at least one keyword；
Replacing keyword is from the corresponding extension key word library of one or more search keys in search key group
It is middle to take out corresponding search key in a keyword replacement search key group respectively, form extension keyword group；
Increase and/or delete and/or replace keyword, these three modes can while and/or be used alternatingly；
As shown in Fig. 2, all set of keywords expanded to be denoted as to the extension key word library of search key；Such as Fig. 4
It is shown, it include m extension keyword in each extension key word library；As shown in figure 3, using expansion after extension key word library is formed
It opens up key word library replacement and/or increases search key combination and form extension keyword group 1 to extension keyword group n；Increase
Keyword is to take out one or more keywords respectively from the corresponding extension key word library of one or more search keys to add
Enter into search key group and forms new extension keyword group；Delete keyword be from search key group delete one or
Multiple keywords, form new extension keyword group, and extension keyword group contains at least one keyword；Replacement keyword be from
It takes out a keyword replacement in the corresponding extension key word library of one or more search keys respectively keyword is corresponding and search
Rope keyword.Mode that is added above, deleting, replace can reduce, increase and/or change search range, and user is helped to obtain
Desired search result.Increase, delete, replacing these three modes and can also simultaneously and/or be used alternatingly, for example first increasing search
Keyword in keyword group reuses replacement, replaces several search keys；Several search keys can also be first deleted,
Replacement is reused, several search keys are replaced.These three methods, which are successively used alternatingly, can be combined into a variety of extension keywords
Combination.
The side for changing search range by increase, deletion, and/or replacement is specifically described below by another embodiment
Formula, as shown in Figure 6:
Core processor obtains keyword A, B, C, D through statistical learning after a period of time, when equipment is in non-busy
When state, processor independently extends this four keywords using artificial intelligence and machine learning techniques, has respectively obtained such as Fig. 6
Shown in extend key word library, system uses the available such one group of extension keyword of increased method: A, A1, B, C, D；
Use the available such one group of extension keyword of the method for deletion: B, C, D；It is available such using the method for replacement
One group of extension keyword: A1, B1, C, D；The available such one group of extension keyword of method of increase and replacement is used alternatingly
A2,A3,B1,C,D；The available such one group of extension keyword of method of deletion and replacement: B2, C1, D3 is used alternatingly；It hands over
For the available such one group of extension keyword of method for using increase, deletion and replacement: A3, A1, C2, D4.It is above-mentioned several
Example is intended merely to preferably explain these three modes, illustrates using a kind of available extension key combination of these methods,
Not representing these three modes can only obtain combination in above-described embodiment.
As preferred embodiment, the method that this kind improves search efficiency, wherein in step S4, core processor will be
Non- peak hours/period is scanned for by extension keyword group, its is actively issued to user after obtaining search result, and collect user
Feedback information, in which:
Feedback information, the information that whether new search result is satisfied with including user；
Search result further includes simultaneously the search result scanned for by search key group；
Further, search result eliminates the search result scanned for by search key group and by extension keyword group
The identical part of content in the search result scanned for.
As preferred embodiment, the method that this kind improves search efficiency, wherein in step S5, core processor according to
Field feedback optimizes expanded search.
As the method that preferred embodiment, this kind improve search efficiency, wherein core processor is expanded using an optimization
Exhibition way of search optimizes expanded search, and optimization expanded search mode includes:
The corresponding extension keyword group of search result that core processor record user is satisfied with；
Extension keyword group is denoted as search key group；
According to search key group, repeat the above steps S2 to S5.
To sum up, by the technical program, training in advance forms an extended model for being used for expanded search keyword first, expands
The input data for opening up model is the search key of user's input, and the output data of extended model is to be carried out according to search key
Extend obtained extension keyword；Then the search key and composition keyword of user's input are persistently obtained using search equipment
Group；It then extends to obtain corresponding extension keyword for keyword group by extended model and forms updated keyword
Group；It is scanned for later using updated keyword group, and by search result active transmission to user, according to user to search
As a result feedback information simultaneously carries out judging whether to retain updated keyword group.The present invention proposes to be in non-when core processor
When busy state, extension keyword simultaneously help user carry out relevant search, thus reduce user search when consume when
Between, improve user's efficiency.
The above is only preferred embodiments of the present invention, are not intended to limit the implementation manners and the protection scope of the present invention, right
For those skilled in the art, it should can appreciate that and all replace with being equal made by description of the invention and diagramatic content
It changes and obviously changes obtained scheme, should all be included within the scope of the present invention.
Claims (7)
1. a kind of method for improving search efficiency, which is characterized in that training in advance forms an expansion for being used for expanded search keyword
Model is opened up, the input data of the extended model is the search key of user's input, and the output data of the extended model is
The extension keyword being extended according to described search keyword；
The described search keyword of user's input is persistently obtained using a search equipment, and executes following step:
Step S1, screening obtain user and input the described search keyword that frequency is greater than a preset threshold in a preset period of time,
And form keyword group；
Step S2 extends to obtain the corresponding extension keyword for the keyword group using the extended model；
Step S3 is handled the keyword group and the corresponding extension keyword, to form the updated pass
Key word group；
Step S4 is scanned for using the updated keyword group, and by search result active transmission to user；
Step S5 obtains user for the feedback information of described search result and carries out judging whether to retain the updated pass
Key word group:
If the feedback information indicates that user is satisfied to described search result, retain the updated keyword group, with
In subsequent search process；
If the feedback information indicates that user is dissatisfied to described search result, the updated keyword group is deleted；
Described search equipment is subsequent to repeat the step S1-S5, and the keyword group of reservation is stored to a storage
In unit；
In the search process of subsequent execution, described search equipment using the keyword group stored in the storage unit into
Row search；
It include a core processor in described search equipment, the core processor will execute the step S1 in non-peak hours/period
With the step S2.
2. the method as described in claim 1, which is characterized in that the non-peak hours/period are as follows: the core processor is in low electricity
The working hour to work under pressure and/or low frequency.
3. the method as described in claim 1, which is characterized in that the core processor is at central processing unit or figure
Manage the device perhaps application processor perhaps controller of baseband processor or the memory device in described search equipment.
4. the method as described in claim 1, which is characterized in that in the step S3, handled and updated using following manner
The keyword group afterwards:
At least one described extension keyword is added in the keyword group；
And/or at least one described search keyword is deleted in the keyword group；
And/or at least one described search keyword in the keyword group is substituted for the corresponding extension keyword.
5. the method as described in claim 1, which is characterized in that described search equipment is intelligent terminal.
6. the method as described in claim 1, which is characterized in that in the step S4, to user's active transmission described search
As a result the duplicate contents before, first in rejecting described search result.
7. the method as described in claim 1, which is characterized in that the extended model has an extending database, the extension
All extension keywords associated by each described search keyword are stored in database.
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| CN102750280A (en) * | 2011-04-19 | 2012-10-24 | 国际商业机器公司 | Computer processing method and system for search |
| CN106776812A (en) * | 2016-11-24 | 2017-05-31 | 北京小米移动软件有限公司 | The method and device of trasaction key |
| CN107590248A (en) * | 2017-09-14 | 2018-01-16 | 广东欧珀移动通信有限公司 | Searching method, device, terminal and computer-readable recording medium |
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2019
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102750280A (en) * | 2011-04-19 | 2012-10-24 | 国际商业机器公司 | Computer processing method and system for search |
| US20120271843A1 (en) * | 2011-04-19 | 2012-10-25 | International Business Machines Corporation | Computer Processing Method and System for Searching |
| CN106776812A (en) * | 2016-11-24 | 2017-05-31 | 北京小米移动软件有限公司 | The method and device of trasaction key |
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