CN103258023B - The recommendation method of search candidate word and search engine - Google Patents
The recommendation method of search candidate word and search engine Download PDFInfo
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- CN103258023B CN103258023B CN201310165048.3A CN201310165048A CN103258023B CN 103258023 B CN103258023 B CN 103258023B CN 201310165048 A CN201310165048 A CN 201310165048A CN 103258023 B CN103258023 B CN 103258023B
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Abstract
The present invention proposes a kind of recommendation method searching for candidate word and search engine, the method comprise the steps that search engine server receives the input information of user's input, and obtains the prefix information of input information；Prefix information is obtained multiple search candidate word and the weight of each search candidate word as index；Judge that whether there is at least two search candidate word in multiple search candidate word belongs to same subject；If it is determined that there is at least two search candidate word to belong to same subject, then retain a weight searching for candidate word at least two search candidate word constant, the weight of other search candidate word at least two search candidate word is carried out fall power process；And be ranked up according to the weight of multiple search candidate word, the search candidate word after sequence is provided to user.Method according to embodiments of the present invention, improves diversity and the accuracy of search candidate word, it is possible to meet the search need of user, and algorithm is simple, it is easy to implement, promote Consumer's Experience.
Description
Technical field
The present invention relates to field of computer technology, particularly to a kind of recommendation method searching for candidate word and search
Index is held up.
Background technology
Search engine mainly uses the mode of prefix matching to provide the user search candidate word, specifically, right
In a certain prefix, search engine mainly according to the temperature of search candidate word, is namely retrieved the frequency, is determined
Which search candidate word and sequence thereof is provided surely.
If but user needs the content of search and certain focus vocabulary to have identical prefix, it is likely that
The content relevant to focus vocabulary can be made all to have higher sequencing weight owing to having higher temperature
And before coming, and the content that user wants search cannot be listed in candidate word, although base can be passed through
In the theme mode such as birds of the same feather flock together, search candidate word is reset, but the mode birdsed of the same feather flock together based on theme calculates
Cost is sent out, and there is potential escape risk, thus is difficult to meet the demand of user search.
Summary of the invention
Present invention aims at least solve one of above-mentioned technological deficiency.
To this end, first purpose of the present invention is to propose a kind of recommendation method searching for candidate word, improve
The diversity of search candidate word and accuracy, it is possible to meet the search need of user, and algorithm is simple,
Easy to implement, promote Consumer's Experience.
Second purpose of the present invention is to propose a kind of search engine.
For achieving the above object, the recommendation side of the search candidate word of embodiment according to a first aspect of the present invention
Method comprises the following steps: search engine server receives the input information of user's input, and obtains described defeated
Enter the prefix information of information；Described prefix information is obtained multiple search candidate word and each as index
The weight of search candidate word；Judge whether the plurality of search candidate word exists at least two search candidate
Word belongs to same subject；If it is determined that the described at least two search candidate word that exists belongs to same subject, then
Retain described at least two search candidate word in one search candidate word weight constant, to described at least
The weight of other search candidate word in two search candidate word carries out fall power process；And according to described many
The weight of individual search candidate word is ranked up, and provides the search candidate word after sequence to described user.
The recommendation method of search candidate word according to embodiments of the present invention, by keeping in same subject
The weight of individual search candidate word is constant, and other search candidate word in same subject are carried out fall power process,
And then improve the weight ranking of the candidate word of other themes so that it is supplied to searching of user according to weight ranking
Rope candidate word can have different themes, improves diversity and the accuracy of search candidate word, it is possible to
Meet the search need of user, and algorithm is simple, it is easy to implement, promote Consumer's Experience.
For achieving the above object, the search engine of embodiment according to a second aspect of the present invention, including: connect
Receive module, for receiving the input information of user's input, and obtain the prefix information of described input information；
Search word determines module, for described prefix information is obtained multiple search candidate word and every as index
The weight of individual search candidate word；Judge module, is used for judging whether exist in the plurality of search candidate word
At least two search candidate word belongs to same subject；Weight adjusting module, for judging described existence extremely
When few two search candidate word belong to same subject, retain in described at least two search candidate word
The weight of search candidate word is constant, to other search candidate word in described at least two search candidate word
Weight carries out fall power process；Order module, for arranging according to the weight of the plurality of search candidate word
Sequence；And offer module, the search candidate word after by sequence provides to described user.
Search engine according to embodiments of the present invention, can keep same subject by weight adjusting module
In one search candidate word weight constant, and in same subject other search candidate word drop
Power processes, and then improves the weight ranking of the candidate word of other themes so that be supplied to according to weight ranking
The search candidate word of user can have different themes, improves the diversity of search candidate word with accurate
Property, it is possible to meet the search need of user, and algorithm is simple, it is easy to implement, promote Consumer's Experience.
Aspect and advantage that the present invention adds will part be given in the following description, and part is by from following
Description becomes obvious, or recognized by the practice of the present invention.
Accompanying drawing explanation
Aspect that the present invention is above-mentioned and/or additional and advantage are from description to embodiment below in conjunction with the accompanying drawings
In will be apparent from easy to understand, wherein:
Fig. 1 is the flow chart of the recommendation method of the search candidate word according to one embodiment of the invention；
Fig. 2 is the flow chart of the recommendation method of the search candidate word according to another embodiment of the present invention；
Fig. 3 is the structured flowchart of the search engine according to one embodiment of the invention；
Fig. 4 is the structured flowchart of the search engine according to another embodiment of the present invention；
Fig. 5 is the schematic diagram of the search candidate word display frames according to one embodiment of the invention.
Detailed description of the invention
Embodiments of the invention are described below in detail, and the example of embodiment is shown in the drawings, the most ad initio
Represent same or similar element to same or similar label eventually or there is the unit of same or like function
Part.The embodiment described below with reference to accompanying drawing is exemplary, is not only used for explaining the present invention, and not
It is understood that as limitation of the present invention.On the contrary, embodiments of the invention include falling into attached claim
All changes, amendment and equivalent in the range of the spirit of book and intension.
In describing the invention, it should be noted that unless otherwise clearly defined and limited, term
" be connected ", " connection " should be interpreted broadly, and connects for example, it may be fixing, it is also possible to be detachably to connect
Connect, or be integrally connected；Can be to be mechanically connected, it is also possible to be electrical connection；Can be to be joined directly together,
Can also be indirectly connected to by intermediary.For the ordinary skill in the art, can be concrete
Situation understands above-mentioned term concrete meaning in the present invention.Additionally, in describing the invention, unless
Being otherwise noted, " multiple " are meant that two or more.
In flow chart or at this, any process described otherwise above or method description are construed as,
Represent the executable instruction including one or more step for realizing specific logical function or process
The module of code, fragment or part, and the scope of the preferred embodiment of the present invention includes other
Realize, wherein can not by shown or discuss order, including according to involved function by substantially with
Time mode or in the opposite order, perform function, this should be led by technology belonging to embodiments of the invention
The technical staff in territory is understood.
Below with reference to the accompanying drawings the recommendation method of search candidate word according to embodiments of the present invention is described.
A kind of recommendation method searching for candidate word, comprises the following steps: search engine server receives user
The input information of input, and obtain the prefix information of input information；Prefix information is obtained many as index
Individual search candidate word and the weight of each search candidate word；Judge whether multiple search candidate word exists
At least two search candidate word belongs to same subject；Belong to if it is determined that there is at least two search candidate word
Same subject, then retain a weight searching for candidate word at least two search candidate word constant, right
The weight of other search candidate word at least two search candidate word carries out fall power process；And according to many
The weight of individual search candidate word is ranked up, and provides the search candidate word after sequence to user.
Fig. 1 is the flow chart of the recommendation method of the search candidate word according to one embodiment of the invention.
As it is shown in figure 1, the recommendation method of search candidate word according to embodiments of the present invention includes following step
Suddenly.
S101, search engine server receives the input information of user's input, and before obtaining input information
Sew information.
Specifically, when search engine server is when receiving the input information of user's input, can be defeated by user
Enter enters information as prefix information, in order to provide the user abundant according to the prefix information of user's input
And the search candidate word mated with user's input information.
S102, obtains multiple search candidate word and each search candidate word using prefix information as index
Weight.
In one embodiment of the invention, prefix information is obtained multiple prefixes as index by search engine
The search candidate word identical with prefix information, and obtain the weight of each candidate word, the most each candidate word
Weight can by the temperature (i.e. search rate) of this candidate word and the spelling factor such as correctness certainly
Fixed, such as may cause promoting with the temperature of " Prometheus " due to the hot showing of " Prometheus ",
And then improve Prometheus " weight, therefore, for prefix information " general ", comprise " general
Luo meter Xiu Si " candidate word will come because having higher weight before.
In one embodiment of the invention, can incite somebody to action according to the weight that the multiple search candidate word obtained are corresponding
A part in multiple search candidate word adds to index slide fastener, in order to further in index slide fastener
Search candidate word be ranked up being supplied to user.
S103, it is judged that whether there is at least two search candidate word in multiple search candidate word and belong to same master
Topic.
Concrete, can first analyze in multiple search candidate word between any two search candidate word except prefix
Word that information content portions continuously repeats or the literal length of character, if word or the literal length of character
Degree more than predetermined threshold value, then judges more than whether two search candidate word of predetermined threshold value belong to same master
Topic, e.g., fruit is not more than predetermined threshold value, then be not belonging to same subject, as initial predetermined threshold may be configured as
6 characters, namely 3 Chinese characters or 6 English alphabets, wherein predetermined threshold value can be by search engine
Default setting, and entered by methods such as assessment result, machine learning and user feedbacks in the course of the work
Row is revised.
S104, if it is determined that there is at least two search candidate word to belong to same subject, then retains at least two
The weight of a search candidate word in individual search candidate word is constant, at least two search candidate word
The weight of other search candidate word carries out fall power process.
If it is determined that there is not at least two search candidate word to belong to same subject, then perform step S105.
Wherein, penalty coefficient is the numerical value between 0 to 1, thus, and can be by least two search be waited
Select in word other search candidate word weights be multiplied by penalty coefficient reduce need fall power search wait
Select the weight of word so that the weight ranking of the search candidate word of other themes can shift to an earlier date, improve search and wait
Select the diversity of word, and penalty coefficient can enter according to assessment result, machine learning or user's online feedback
Row sum-equal matrix.
Such as, for multiple search candidate word that prefix information " general " is corresponding, can be by about " Pu Luo meter
Repair this " in 4 of theme search candidate word wherein 3 carry out fall power process, after being processed by fall power
The weight ranking of search candidate word may decline, and can make the search candidate word of other themes, such as " Pu'er
Tea " etc. weight list names advance.
S105, is ranked up according to the weight of multiple search candidate word, by the search candidate word after sequence
There is provided to user.
The recommendation method of search candidate word according to embodiments of the present invention, by keeping in same subject
The weight of individual search candidate word is constant, and other search candidate word in same subject are carried out fall power process,
And then improve the weight ranking of the candidate word of other themes so that it is supplied to searching of user according to weight ranking
Rope candidate word can have different themes, improves diversity and the accuracy of search candidate word, it is possible to
Meet the search need of user, and algorithm is simple, it is easy to implement, promote Consumer's Experience.
Fig. 2 is the flow chart of the recommendation method of the search candidate word according to another embodiment of the present invention.
As in figure 2 it is shown, the recommendation method of search candidate word according to embodiments of the present invention includes following step
Suddenly.
S201, search engine server receives the input information of user's input, and before obtaining input information
Sew information.
Specifically, when search engine server is when receiving the input information of user's input, can be defeated by user
Enter enters information as prefix information, in order to provide the user abundant according to the prefix information of user's input
And the search candidate word mated with user's input information.
S202, obtains multiple search candidate word and each search candidate word using prefix information as index
Weight.
Specifically, search engine is identical with prefix information as the multiple prefixes of index acquisition using prefix information
Search candidate word, and obtain the weight of each candidate word, the weight of the most each candidate word can be by this time
Select the temperature (i.e. search rate) of word and spell the factor decisions such as correctness, such as due to " general
Luo meter Xiu Si " hot showing may cause promoting with the temperature of " Prometheus ", and then improve general sieve
Meter Xiu Si " weight, therefore, for prefix information " general ", comprise " Prometheus "
Before candidate word will come because having higher weight.
In one embodiment of the invention, can incite somebody to action according to the weight that the multiple search candidate word obtained are corresponding
A part in multiple search candidate word adds to index slide fastener, in order to further in index slide fastener
Search candidate word be ranked up being supplied to user.
S203, it is judged that whether there is at least two search candidate word in multiple search candidate word and belong to same master
Topic.
Concrete, can first analyze in multiple search candidate word between any two search candidate word except prefix
Word that information content portions continuously repeats or the literal length of character, if word or the literal length of character
Degree more than predetermined threshold value, then judges more than whether two search candidate word of predetermined threshold value belong to same master
Topic, e.g., fruit is not more than predetermined threshold value, then be not belonging to same subject, as initial predetermined threshold may be configured as
6 characters, namely 3 Chinese characters or 6 English alphabets, wherein predetermined threshold value can be by search engine
Default setting, and entered by methods such as assessment result, machine learning and user feedbacks in the course of the work
Row is revised.
S204, if it is determined that there is at least two search candidate word to belong to same subject, then retains at least two
The weight of a search candidate word in individual search candidate word is constant, at least two search candidate word
The weight of other search candidate word carries out fall power process.
Wherein, penalty coefficient is the numerical value between 0 to 1, thus, and can be by least two search be waited
Select in word other search candidate word weights be multiplied by penalty coefficient reduce need fall power search wait
Select the weight of word so that the weight ranking of the search candidate word of other themes can shift to an earlier date, improve search and wait
Select the diversity of word, and penalty coefficient can enter according to assessment result, machine learning or user's online feedback
Row sum-equal matrix.
Such as, for multiple search candidate word that prefix information " general " is corresponding, can be by about " Pu Luo meter
Repair this " in 4 of theme search candidate word wherein 3 carry out fall power process, after being processed by fall power
The weight ranking of search candidate word may decline, and can make the search candidate word of other themes, such as " Pu'er
Tea " etc. weight list names advance.
S205, is ranked up according to the weight of multiple search candidate word, by the search candidate word after sequence
There is provided to user.
S206, shows that in search candidate word display frames weight ranking is waited more than multiple search of predeterminated position
Select word.
Specifically, during the value of predeterminated position is search candidate word display frames, displayable search candidate word is individual
Number, can search for candidate word by weight ranking in search slide fastener more than multiple search candidate word of predeterminated position
Display frames is shown, if during as it is shown in figure 5, predeterminated position is 6, right for prefix information " general "
The multiple search candidate word answered show result.
S207, provides correspondence for each search candidate word in display frames in search candidate word display frames
Selection key.
For example, as it is shown in figure 5, can search candidate word display frames in each search candidate word
Add a corresponding selection key afterwards, if the user desired that certain search candidate word is entered one
Step retrieval, can click on this selection key, so that it may the search candidate word of selection is added to search editor
In frame.
S208, when selection key is triggered, makees with the search candidate word that the selection key that is triggered is corresponding
Candidate word retrieval is carried out further for prefix.
Specifically, when user triggers selection key, the search candidate that the selection key that is triggered is corresponding
Word will be added to search in edit box, and continue executing with step S202-S207 as prefix information, directly
To searching the information that user needs.
The recommendation method of search candidate word according to embodiments of the present invention, by adding choosing for search candidate word
Select button, the search candidate word of user's needs can be carried out as prefix candidate word quadratic search further,
Make to retrieve result and more can meet the demand of user, and can automatically add, it is not necessary to user inputs, behaviour
Make simple, improve Consumer's Experience further.
In order to realize examples detailed above, the present invention also proposes a kind of search engine.
A kind of search engine, including: receiver module, for receiving the input information of user's input, and obtains
The prefix information of information must be inputted；Search word determines module, for obtaining many using prefix information as index
Individual search candidate word and the weight of each search candidate word；Judge module, is used for judging that multiple search is waited
Select whether word exists at least two search candidate word belong to same subject；Weight adjusting module, is used for
When judging that there is at least two search candidate word belongs to same subject, retain at least two search candidate word
One search candidate word weight constant, at least two search candidate word in other search candidate word
Weight carry out fall power process；Order module, for being ranked up according to the weight of multiple search candidate word；
And offer module, the search candidate word after by sequence provides to user.
Fig. 3 is the structured flowchart of the search engine according to one embodiment of the invention.
As it is shown on figure 3, search engine according to embodiments of the present invention includes: receiver module 100, search
Word determines module 200, judge module 300, weight adjusting module 400, order module 500 and carries
For module 600.
Specifically, receiver module 100 is for receiving the input information of user's input, and obtains input information
Prefix information.More specifically, when receiver module 100 is when receiving the input information of user's input, can
Prefix information is entered information as, in order to search word determines that module 200 is according to user by what user inputted
The prefix information of input provides the user search candidate word that is abundant and that mate with user's input information.
Search word determine module 200 for using prefix information as index obtain multiple search candidate word with
And the weight of each search candidate word.More specifically, search word determine module 200 using prefix information as
Index obtains the search candidate word that multiple prefixes are identical with prefix information, and obtains the power of each candidate word
Weight, the weight of the most each candidate word can be by the temperature (i.e. search rate) of this candidate word and spelling
Write the factors such as correctness to determine, such as, may cause with " general sieve due to the hot showing of " Prometheus "
Meter Xiu Si " temperature promote, and then improve Prometheus " weight, therefore, for prefix believe
For breath " general ", the candidate word comprising " Prometheus " will come because having higher weight
Above.
Judge module 300 is used for judging whether there is at least two search candidate in multiple search candidate word
Word belongs to same subject.Appoint more specifically, first judge module 300 can be analyzed in multiple search candidate word
Between two search candidate word, the word that continuously repeats except prefix information content part or character is literal
Length, and when the literal length of word or character is more than predetermined threshold value, it is judged that more than the two of predetermined threshold value
Whether individual search candidate word belongs to same subject, if no more than predetermined threshold value, is then not belonging to same subject,
As, initial predetermined threshold may be configured as 6 characters, namely 3 Chinese characters or 6 English alphabets, its
Middle predetermined threshold value by search engine default setting, and can pass through assessment result, machine in the course of the work
The methods such as study and user feedback are modified.
Weight adjusting module 400 is for judging that there is at least two search candidate word belongs to same subject
Time, retain a weight searching for candidate word at least two search candidate word constant, at least two
The weight of other search candidate word in search candidate word carries out fall power process.Wherein, penalty coefficient is 0
Numerical value between 1, thus, weight adjusting module 400 can be by searching at least two in candidate word
Weights of other search candidate word be multiplied by penalty coefficient reduce need fall power search candidate word
Weight so that the weight ranking of the search candidate word of other themes can shift to an earlier date, improves search candidate word
Diversity, and penalty coefficient can be adjusted according to assessment result, machine learning or user's online feedback.
Such as, for multiple search candidate word that prefix information " general " is corresponding, weight adjusting module 400
Can by about in 4 of " Prometheus " theme search candidate word wherein 3 carry out fall power process,
The weight ranking of the search candidate word after being processed by fall power may decline, and the search of other themes can be made to wait
Selecting word, such as the weight of " Pu'er tea " etc., list names advance.
Order module 500 is for being ranked up according to the weight of multiple search candidate word.
The module 600 search candidate word after by sequence is provided to provide to user.In the present invention one
In individual embodiment, it is provided that module 600 can be according to weight corresponding to multiple search candidate word obtained by multiple
A part in search candidate word adds to index slide fastener, and ties according to the sequence of order module 500
Search candidate word is supplied to user according to weight ranking by fruit.
Search engine according to embodiments of the present invention, can keep same subject by weight adjusting module
In one search candidate word weight constant, and in same subject other search candidate word drop
Power processes, and then improves the weight ranking of the candidate word of other themes so that be supplied to according to weight ranking
The search candidate word of user can have different themes, improves the diversity of search candidate word with accurate
Property, it is possible to meet the search need of user, and algorithm is simple, it is easy to implement, promote Consumer's Experience.
Fig. 4 is the structured flowchart of the search engine according to one embodiment of the invention.
As shown in Figure 4, search engine according to embodiments of the present invention also includes on the basis of shown in Fig. 3:
Quadratic search module 700.
Specifically, it is provided that module 600 is additionally operable to show that weight ranking is more than in search candidate word display frames
Multiple search candidate word of predeterminated position.More specifically, the value of predeterminated position is search candidate word display frames
In the number of displayable search candidate word, can be by many more than predeterminated position for weight ranking in search slide fastener
Individual search candidate word is shown, if as it is shown in figure 5, predeterminated position is 6 in search candidate word display frames
Time, the multiple search candidate word corresponding for prefix information " general " show result.
Quadratic search module 700 is for searching for each in display frames in search candidate word display frames
Rope candidate word provides corresponding selection key, and when selection key is triggered, with the selection that is triggered by
The search candidate word that key is corresponding carries out candidate word retrieval further as prefix.For example, such as Fig. 5
Shown in, one can be added in contrast after each search candidate word in search candidate word display frames
The selection key answered, if the user desired that retrieve certain search candidate word further, can click on this
Selection key, when user triggers selection key, the search candidate word that the selection key that is triggered is corresponding
To be added to search in edit box, and retrieve further as prefix information, needing until searching user
The information wanted.
Search engine according to embodiments of the present invention, can be that search candidate word is added by quadratic search module
Selection key, can carry out quadratic search further using the search candidate word of user's needs as prefix so that
Retrieval result more can meet the demand of user, and can automatically add, it is not necessary to user inputs, operation letter
Single, improve Consumer's Experience further.
In the description of this specification, reference term " embodiment ", " some embodiments ", " show
Example ", the description of " concrete example " or " some examples " etc. means to combine this embodiment or example is retouched
Specific features, structure, material or the feature stated is contained at least one embodiment or the example of the present invention
In.In this manual, the schematic representation to described term be not necessarily referring to identical embodiment or
Example.And, the specific features of description, structure, material or feature can be at any one or many
Individual embodiment or example combine in an appropriate manner.
Although an embodiment of the present invention has been shown and described, for those of ordinary skill in the art
Speech, it is possible to understand that these embodiments can be carried out without departing from the principles and spirit of the present invention
Multiple change, revising, replace and modification, the scope of the present invention is limited by claims and equivalent thereof.
Claims (14)
1. the recommendation method searching for candidate word, it is characterised in that comprise the following steps:
Search engine server receives the input information of user's input, and obtains the prefix information of described input information；
Described prefix information is obtained multiple search candidate word and the weight of each search candidate word as index；
Judge that whether there is at least two search candidate word in the plurality of search candidate word belongs to same subject；
If it is determined that the described at least two search candidate word that exists belongs to same subject, then retain the search of described at least two and wait
The weight selecting in word one search candidate word is constant, to other search candidate word in described at least two search candidate word
Weight carry out fall power process；And
Weight according to the plurality of search candidate word is ranked up, and provides the search candidate word after sequence to described use
Family.
2. the recommendation method searching for candidate word as claimed in claim 1, it is characterised in that the multiple search of described judgement
Whether candidate word exists at least two search candidate word belong to same subject and farther include:
Analyze in the plurality of search candidate word and weigh continuously in addition to described prefix information between any two search candidate word
Multiple word or the literal length of character；And
If described literal length is more than predetermined threshold value, then judge whether search for candidate word more than two of described predetermined threshold value
Belong to same subject.
3. the recommendation method searching for candidate word as claimed in claim 2, it is characterised in that described by described prefix
After information obtains multiple search candidate word as index, also include:
According to corresponding weight, the part in the plurality of search candidate word is added to index slide fastener.
4. the recommendation method of the search candidate word as described in any one of claim 1-3, it is characterised in that described to extremely
The weight of other search candidate word in few two search candidate word carries out the process of fall power and farther includes:
The weight of other search candidate word in described at least two search candidate word is multiplied by penalty coefficient.
5. the recommendation method searching for candidate word as claimed in claim 4, it is characterised in that also include:
According to assessment result, machine learning or user's online feedback, described penalty coefficient is adjusted.
6. the recommendation method of the search candidate word as described in any one of claim 1-3, it is characterised in that incite somebody to action described
Search candidate word after sequence provides after described user, also includes:
The weight ranking multiple search candidate word more than predeterminated position are shown in search candidate word display frames.
7. the recommendation method searching for candidate word as claimed in claim 6, it is characterised in that also include:
Corresponding selection is provided for each search candidate word in described display frames in described search candidate word display frames
Button；
When described selection key is triggered, further as prefix using the search candidate word that the selection key that is triggered is corresponding
Carry out candidate word retrieval.
8. a search engine, it is characterised in that including:
Receiver module, for receiving the input information of user's input, and obtains the prefix information of described input information；
Search word determines module, for described prefix information is obtained multiple search candidate word and each search as index
The weight of candidate word；
Judge module, is used for judging that whether there is at least two search candidate word in the plurality of search candidate word belongs to same
Theme；
Weight adjusting module, for judge described exist at least two search candidate word belong to same subject time, reservation institute
State a weight searching for candidate word at least two search candidate word constant, in described at least two search candidate word
Other search candidate word weights carry out fall power process；
Order module, for being ranked up according to the weight of the plurality of search candidate word；And
Thering is provided module, the search candidate word after by sequence provides to described user.
9. search engine as claimed in claim 8, it is characterised in that described judge module analyzes the plurality of search
The word that continuously repeats in addition to described prefix information or character literal between any two search candidate word in candidate word
Length, when described literal length is more than predetermined threshold value, it is judged that whether search for candidate word more than two of described predetermined threshold value
Belong to same subject.
10. search engine as claimed in claim 9, it is characterised in that described offer module will according to corresponding weight
A part in the plurality of search candidate word adds to index slide fastener.
11. search engines as claimed in claim 8, it is characterised in that described weight adjusting module is by described at least two
The weight of other search candidate word in individual search candidate word is multiplied by penalty coefficient.
12. search engines as claimed in claim 11, it is characterised in that described weight adjusting module, are additionally operable to root
According to assessment result, machine learning or user's online feedback, described penalty coefficient is adjusted.
13. search engines as claimed in claim 8, it is characterised in that described offer module is shown in search candidate word
Frame is shown the weight ranking multiple search candidate word more than predeterminated position.
14. search engines as claimed in claim 13, it is characterised in that also include:
Quadratic search module, is used in described search candidate word display frames for each search candidate in described display frames
Word provides corresponding selection key, and when described selection key is triggered, with the search that the selection key that is triggered is corresponding
Candidate word carries out candidate word retrieval further as prefix.
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| US11061893B2 (en) * | 2014-05-30 | 2021-07-13 | Apple Inc. | Multi-domain query completion |
| CN104156492A (en) * | 2014-09-02 | 2014-11-19 | 北京国双科技有限公司 | Method and device for prompting search content |
| CN105488121A (en) * | 2015-11-24 | 2016-04-13 | 魏强 | Accurate retrieval system |
| CN107665217A (en) * | 2016-07-29 | 2018-02-06 | 苏宁云商集团股份有限公司 | A kind of vocabulary processing method and system for searching service |
| CN107273537A (en) * | 2017-06-30 | 2017-10-20 | 深圳创维数字技术有限公司 | One kind search words recommending method, set top box and storage medium |
| CN109582847B (en) * | 2018-11-23 | 2021-08-24 | 咪咕视讯科技有限公司 | Information processing method and device and storage medium |
| CN110516062B (en) * | 2019-08-26 | 2022-11-04 | 腾讯科技（深圳）有限公司 | Method and device for searching and processing document |
| CN113239284B (en) * | 2021-07-13 | 2021-10-15 | 武汉斗鱼鱼乐网络科技有限公司 | Method and device for determining sequence of recommendation information |
| CN116954804A (en) * | 2023-08-08 | 2023-10-27 | 河北网新科技集团股份有限公司 | Graphic image rendering method and device in interface engine |
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