CN109948039A - A kind of method, apparatus and electronic equipment of Optimizing Search result - Google Patents
A kind of method, apparatus and electronic equipment of Optimizing Search result Download PDFInfo
- Publication number
- CN109948039A CN109948039A CN201711236646.XA CN201711236646A CN109948039A CN 109948039 A CN109948039 A CN 109948039A CN 201711236646 A CN201711236646 A CN 201711236646A CN 109948039 A CN109948039 A CN 109948039A
- Authority
- CN
- China
- Prior art keywords
- search result
- input
- input word
- word
- history
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses the method, apparatus and electronic equipment of a kind of Optimizing Search result, this method comprises: obtaining the search result that the first application program is obtained according to search key；The history input word of user's input is obtained, the history input word includes the input word that user inputs to the second application program；Described search result is ranked up according to the history input word.In the above-mentioned technical solutions, search result is ranked up by history input word that user inputs to the second application program, so that the sequence of search result considers input condition of the user in other applications, realize the cross-platform optimization of search result, to enable the search result after sequence to meet the needs of users from many aspects, it solves the limitation of search results ranking in the prior art, improves the popularity and accuracy of search result optimization.
Description
Technical field
The present invention relates to software technology field, in particular to a kind of the method, apparatus and electronic equipment of Optimizing Search result.
Background technique
With constantly improve for search engine, search result is more and more accurate, brings great side for people's lives
Just.The optimization of search result is on the one hand Optimizing Search engine usually from two aspects, is on the other hand Optimizing Search result
Sequence.The space that the search result that existing search engine search obtains accurately has optimized very much is very small, search knot
The optimization of fruit is mainly started with from sequence.
Nowadays, the sequence of search result is carried out generally according to the individual demand of user, according to the historical search of user
Record is to optimize sequence to search result.But this optimal way has certain limitation, and the historical search of user is remembered
Often interest of the reflection user in search behavior is biased to for record, if the current demand of user did not embody in search behavior,
So the current demand of user is just unable to get good satisfaction, needs the new method of one kind to improve the office of search results ranking
It is sex-limited.
Summary of the invention
The embodiment of the present invention provides the method, apparatus and electronic equipment of a kind of Optimizing Search result, for realizing search knot
The cross-platform optimization of fruit improves the popularity and accuracy of search result optimization.
The embodiment of the present invention provides a kind of method of Optimizing Search result, this method comprises:
Obtain the search result that the first application program is obtained according to search key；
Obtain user input history input word, the history input word include user inputted to the second application program it is defeated
Enter word；
Described search result is ranked up according to the history input word.
Optionally, described search result is ranked up according to the history input word, comprising:
Obtain the number that each history input word occurs in every search result；
According to occurring the number of history input word in every search result, every search result is ranked up, out occurrence
The more sequence of number is forward.
Optionally, described search result is ranked up according to the history input word, comprising:
The input number for each input word for including in history input word is obtained, and/or, include in acquisition history input word
The corresponding input environment of each input word；
It is right according to the input number and/or corresponding input environment of each input word for including in the history input word
Described search result is ranked up.
Optionally, according to the input number for each input word for including in the history input word and/or corresponding input
Environment is ranked up described search result, comprising:
The phase between the history input word and every search result is calculated according to the input number of each input word
Like degree, alternatively, according to the input number of each input word and the corresponding input environment calculating history input word and often
Similarity between search result；
Every search result is ranked up according to the similarity, the big sequence of similarity is forward.
Optionally, according to the input number of each input word calculate the history input word and every search result it
Between similarity, comprising:
According to the input number of each input word, the first term vector is constructed for the history input word；
Every search result is segmented, is every search result according to the frequency of occurrence of participle each in word segmentation result
Construct the second term vector；
Obtain similarity between first term vector and second term vector as every search result with
Similarity between the history input word.
Optionally, the history input word is calculated according to the input number of each input word and corresponding input environment
With the similarity between every search result, comprising:
According to each input word and each input word, the number of the upper screen in corresponding input environment, is described
History input word constructs third term vector；
Every search result is segmented, according to the frequency of occurrence of participle each in word segmentation result and every search knot
The corresponding input environment of the affiliated type of fruit is that every search result constructs the 4th term vector；
Obtain similarity between the third term vector and the 4th term vector as every search result with
Similarity between the history input word.
Optionally, the history input word for obtaining user and being inputted by input method, comprising:
User is screened by the input word that input method inputs, obtains the sincere word in input word as the history
Input word.
Optionally, the method also includes: show sequence after described search result.
The embodiment of the present invention also provides a kind of device of Optimizing Search result, comprising:
Search unit, the search result obtained for obtaining the first application program according to search key；
Acquiring unit, for obtaining the history input word of user's input, the history input word includes that user answers to second
The input word inputted with program；
Sequencing unit, for being ranked up according to the history input word to described search result.
Optionally, the sequencing unit is used for:
Obtain the number that each history input word occurs in every search result；
According to occurring the number of history input word in every search result, every search result is ranked up, out occurrence
The more sequence of number is forward.
Optionally, sequencing unit is also used to:
The input number for each input word for including in history input word is obtained, and/or, include in acquisition history input word
The corresponding input environment of each input word；
It is right according to the input number and/or corresponding input environment of each input word for including in the history input word
Described search result is ranked up.
Optionally, the sequencing unit includes:
Computing module, for calculating the history input word and every search according to the input number of each input word
As a result the similarity between, alternatively, being gone through according to the input number of each input word and the calculating of corresponding input environment
Similarity between history input word and every search result；
Sorting module, for being ranked up according to the similarity to every search result, the big sequence of similarity is forward.
Optionally, the computing module is used for:
According to the input number of each input word, the first term vector is constructed for the history input word；Every is searched
Hitch fruit is segmented, and is that every search result constructs the second term vector according to the frequency of occurrence of participle each in word segmentation result；
The similarity between first term vector and second term vector is obtained as every search result and the history
Similarity between input word.
Optionally, the computing module is used for:
According to each input word and each input word, the number of the upper screen in corresponding input environment, is described
History input word constructs third term vector；Every search result is segmented, according to the appearance of participle each in word segmentation result
Number and the corresponding input environment of the affiliated type of every search result are that every search result constructs the 4th term vector；Obtain institute
The similarity between third term vector and the 4th term vector is stated as every search result and the history input word
Between similarity.
Optionally, the acquiring unit is used for: being screened, is inputted by the input word that input method inputs to user
Sincere word in word is as the history input word.
Optionally, described device further include: display unit, for showing the described search result after sorting.
The present invention implements also to provide a kind of electronic equipment, includes memory and one or more than one program,
Perhaps more than one program is stored in memory and is configured to be executed by one or more than one processor for one of them
The one or more programs include the instruction for performing the following operation:
Obtain the search result that the first application program is obtained according to search key；
Obtain user input history input word, the history input word include user inputted to the second application program it is defeated
Enter word；
Described search result is ranked up according to the history input word.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer program, the program
It is performed the steps of when being executed by processor
Obtain the search result that the first application program is obtained according to search key；
Obtain user input history input word, the history input word include user inputted to the second application program it is defeated
Enter word；
Described search result is ranked up according to the history input word.
Said one or multiple technical solutions in the embodiment of the present application, at least have the following technical effect that
The embodiment of the present application provides a kind of method of Optimizing Search result, obtains the first application program according to search key
The search result of acquisition；Obtain the history input word that user inputs to the second application program；By user to the second application program
The history input word of input is ranked up search result, so that the sequence of search result considers user in other application journey
Input condition in sequence, realizes the cross-platform optimization of search result, so that the search result after sequence be enable to expire from many aspects
The demand of sufficient user solves the limitation of search results ranking in the prior art, improves the popularity of search result optimization
And accuracy.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the method for Optimizing Search result provided by the embodiments of the present application；
Fig. 2 is a kind of block diagram of the device of Optimizing Search result provided by the embodiments of the present application；
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application.
Specific embodiment
In technical solution provided by the embodiments of the present application, by the history input word of acquisition other application program, next pair
The search result that current application program search obtains optimizes sequence, the cross-platform optimization of search result is realized, to solve
The limitation of search results ranking in the prior art improves the popularity and accuracy of search result optimization.
With reference to the accompanying drawing to main realization principle, specific embodiment and its correspondence of the embodiment of the present application technical solution
The beneficial effect that can reach is explained in detail.
Embodiment
Referring to FIG. 1, the embodiment of the present application provides a kind of method of Optimizing Search result, this method comprises:
S110: the search result that the first application program is obtained according to search key is obtained；
S120: the history input word of user's input is obtained, the history input word includes that user is defeated to the second application program
The input word entered；
S130: described search result is ranked up according to the history input word.
The method of Optimizing Search result provided by the embodiments of the present application can be applied to search for search engine
As a result it optimizes, it is excellent also to can be applied to the search result progress that other application program search with function of search obtain
Change.Such as: the lookup etc. in search contact person, word in the search, address list in wechat can be provided by the application
The method of Optimizing Search result sequence is optimized to the search result that it is obtained.It is provided by the present application when specific execution
The method of Optimizing Search result can be executed by the first application program, plug-in unit or input method, and the embodiment of the present application is simultaneously unlimited
The executing subject of this method processed.
In the specific implementation process, when the first application program obtains search result according to search key, S110 is executed
Obtain the search result.The search result that the search of the first application program obtains under normal conditions has had certain sequence, preceding
Therefore the search result of several pages of search result especially first page is usually with the higher search result of user's matching degree
The search result of first page or first page and second page that available first application program of calculation amount S110 obtains is reduced,
Further to execute S120.
S120: the history input word of user's input is obtained, the history input word includes that user is defeated to the second application program
The input word entered.Specifically, S120 can obtain the history that user inputs at least one second application program by input method
Input word.Communication interface is all had between input method and each application program, the information input of each application program requires to adjust
It is realized with input method, therefore the history input word for obtaining by input method each application program is convenient and efficient, without newly-increased
Communication interface.Further, user's all application program inputs on electronic equipment can be obtained by input method for S120 pages
History input word, and count the input number of identical history input word, input frequency etc..Certainly, S120 can also be by mutual
The interface that agreement determines obtains history input word, such as: agreement can be passed through between two application programs of wechat and QQ and determined
One specified interface obtains the history input word of other side by the specified interface.
In specific implementation process, in order to improve the validity of history input word, in the available preset time period of S120
History input word, to scan for structure optimization sequence.Such as: user in 24 hours can be obtained and inputted to the second application program
History input word, the history input word more than 24 hours is then invalid word.History input word validity is improved as another kind
Method, S120 can also be screened user by the input word that input method input when obtaining the such word of history, acquisition
Sincere word in input word is as history input word.Such as: as the non-sincere word such as " I ", " you ", " " needs to filter, obtain
" dog food ", " buying ", " body-building " etc. serve as word significant when ingredient as history input word in sentence.
After S120, executes S130 and search result is ranked up according to the history input word of acquisition, further, show
Search result after sequence.Specifically, can be searched according to the number that history input word occurs in every search result to every
Hitch fruit is ranked up, can also be according to each in the input number and/or history input word of input word each in history input word
Input environment where a input word is ranked up every search result.
In the following, being ranked up progress specifically to search result to according to history input word in conjunction with different implementations
It is bright:
Mode one
When according to history input word, frequency of occurrence is ranked up every search result in every search result.For obtaining
The search result and history input word obtained, obtains the number that each history input word occurs in every search result.Wherein, it goes through
History input word occurs being counted as searching in the corresponding content of pages of title, abstract and/or search result of search result
As a result occur in.According to occurring the number of history input word in every search result, every search result is ranked up, is occurred
Sequence often is forward.
Multiple history input words are likely to occur in one search result, a history input word may also occur repeatedly,
It can be ranked up according to the total degree that each history input word occurs when sequence, it is assumed that history input word indicates with i, i ∈ 1,
2,3 ..., n }, the number that history input word i occurs in a search result is Ni, each history is defeated in a search result
Enter the total degree N of word appearanceAlways=N1+N2+…+Ni.Such as: user inputs keyword " swimming glasses " in a browser and scans for, clear
Device of looking at scans for keyword " swimming glasses " to obtain search result, however since the range of keyword " swimming glasses " is too big, acquisition
Search result include various types of results such as: sell the link of " swimming glasses ", the encyclopaedia link of " swimming glasses ", " swimming glasses " brand push away
Link etc. is recommended, such search result is inaccurate for a user if showing.In order to further to search result into
Row optimization, the present embodiment obtain the search result and obtain history of the user to such as instant chat application input of the second application program
Input word such as " buying swimming glasses ", " antifog ", " myopia "；Statistics " buying swimming glasses ", " antifog ", " myopia " occur in every search result
Total degree, if the total degree that " buying swimming glasses ", " antifog ", " myopia " occur in Article 5 search result is 8, searches in Article 2
The total degree occurred in hitch fruit is 1, then Article 5 search result is come Article 2 search result when Optimizing Search result
Displaying made above.
The number that history input word occurs in search result is different, and the number of user's input may also be different, and user is defeated
The more history input word of indegree may be the more interested word of user.The embodiment of the present application can be defeated according to each history
Enter the input number of word and weight θ is set for iti, θiValue can take input number and also take input number always input number
In shared ratio.Every search result is ranked up according to the number for occurring history input word in every search result
When, the synthesis times N of all history input words in every search result can be obtainedIt is comprehensive=θ1*N1+θ2*N2+…+θi*Ni, according to
The N of every search resultIt is comprehensiveSize search result is ranked up, NIt is comprehensiveBigger sequence is more forward.Such as: the history input of acquisition
The input number of word " buying swimming glasses ", " antifog ", " myopia " user within a preset period of time are respectively 1,2,3, if " buying swimming glasses ",
Frequency of occurrence of these three the history input words of " antifog ", " myopia " in first search result is respectively 0,2,2, in Article 6
The number occurred in search result is classified as 0,1,3, calculates the N for obtaining the first search resultIt is comprehensive=1*0+2*2+3*2=10, the
The N of six search resultsIt is comprehensive=1*0+1*2+3*3=11, according to the N of each search resultIt is comprehensiveAll search results are ranked up
When, Article 6 search result is come before first search result.
Mode two
According to input environment corresponding to each input word for including in history input word, every search result is arranged
Sequence.Obtaining input environment of the user where when inputting each input word is the corresponding input environment of each input word, and
Obtain the corresponding input environment of the affiliated type of every search result.Specifically, type belonging to every search result can be section
General, amusement, education, tourism etc. can obtain its affiliated type according to the title of every search result, source, label etc..It is each
The corresponding one or more input types of a type, such as: the corresponding input environment of science popularization type may include writing, education, trip
Trip etc..Obtain identical of input environment input environment corresponding with search result corresponding to input word in history input word
Number, is ranked up, the sequence more than number is forward according to the number.
Mode three
Search result is ranked up by the size of similarity.The history input word obtained is calculated to tie with every search
Similarity between fruit；Every search result is ranked up according to the similarity obtained is calculated, the big sequence of similarity is forward.
Wherein, the similarity between history input word and every search result, can be according to the defeated of input word each in history input word
The frequency of occurrence of each participle calculates in indegree and every search result, can also according to input each in history input word
Word is in the upper screen number in corresponding input environment, the number and every search result that each participle occurs in every search result
Affiliated type corresponding input environment calculates.
1., according to input word each in history input word input number and every search result in each participle appearance
Number calculates the similarity between history input word and every search result.Specifically, one sincere word list of maintenance, this
List has M sincere words, according to this lists construction vector (C1,C2,…,CM), CiIndicate i-th of sincere word pair in lists
The data answered.According to each input word for including in the history input word of acquisition, for entire history input word construct word first to
S is measured, such as: it obtains comprising preceding 3 sincere words in sincere word list in history input word, then constructing the history input word
First term vector S=(C1,C2,C3,0,…0).Further, for K search result, every search result is segmented,
It is that every search result constructs the second term vector S according to word segmentation resultj, j=1,2 ..., K.Then, the first term vector S is obtainedjWith
Similarity between second term vector S is as the similarity between every search result and history input word.Phase between vector
It can be calculated using a variety of methods like degree, it such as can be similar using Pearson correlation coefficient, Euclidean distance, Cosine
The methods of degree, manhatton distance are calculated, and the embodiment of the present application is not intended to limit the specific algorithm of similarity between vector.
Each Elements C in vector is described in detail belowiHow to indicate.CiIt can be expressed as in sincere word list
The number that i-th of sincere word occurs is exactly the input number that user inputs the input word in the history input word of user, and
In some search result, search result is segmented, counts the number that the participle occurs in this search result.Example
Such as: assuming that the history input word obtained includes the 3rd~the 6th sincere word in sincere word list, each reality in history input word
The input number of meaning word is respectively 1,2,3,4, and the frequency of occurrence of each input word is divided in history input word in j-th strip search result
Other 1,0,2,4, then obtaining the second term vector S=, (0,0,1,2,3,4,0 ... 0), the first term vector Sj=(0,0,1,0,2,
4,0,…0)；Calculate S and SjBetween similarity and every search result is ranked up according to the size of the similarity.
2., upper screen number, every search result according to input word each in history input word in corresponding input environment
In each participle number and the corresponding input environment of the affiliated type of every search result that occur, calculate history input word and every
Similarity between search result.Specifically, obtaining the corresponding input environment of each input word for including in history input word；
Search result is ranked up according to the history input word of acquisition and each input word corresponding input environment.Wherein, ring is inputted
Border includes but is not limited to writing, chat, shopping, map, game etc..
Likewise, the present embodiment can also for various input environments safeguard an input environment list, such as writing,
Chat, shopping, map, game ... } X input environment is shared, vector (CC can equally be constructed according to this list1,CC2,…,
CCX), wherein CCiIndicate the number that the sincere word of some in i-th of input environment occurs in input environment list.For user
History input word, statistics wherein each input word upper number shielded in the input environment for inputting the word；For some search
As a result, having a label, identify the search result is what kind of, for example be science popularization type, then corresponding input ring
Border is exactly to write.If upper screen a times in first input environment of a sincere word, then the environment vector constructed be exactly (a,
0 ... 0), then CiIt can be expressed as the vector that i-th of sincere root is constructed according to environment list in list, i.e. ((CC11,
CC12,..,CC1X),(CC21,CC22,…CC2X),…,(CCM1,CCM2,…CCMX)).According to the vector table of above-mentioned each sincere word
Show Ci, can accordingly obtain sincere word list (C1,C2,…,CM), based on the same method of mode two, acquisition history can be constructed
The 4th term vector S of the third term vector S of input word and every search resultj, then, obtain third term vector and the 4th word to
Similarity between amount is as the similarity between every search result and history input word, and then according to the size pair of similarity
Search result is ranked up.
Direction corresponding to the input word inputted in varying environment is not quite similar, such as: user inputs " tall in word
It is red ", it may refer to " Jordon " this personage's multiple spot partially, input " Jordon " in chat environment, may refer to the entertainment of " Jordon " partially
Multiple spot.The application pass-through mode three is ranked up search result according to history input word and its corresponding input environment, if
" Jordon " is inputted in word, then the search results ranking of search " Jordon " Shi Baike class will be located further forward, if in chat ring
" Jordon " is inputted in border, then the search results ranking for laying particular stress on entertainment information will be located further forward when search " Jordon ", because it is contemplated that
Input environment corresponding to input word, so that ranking results have fully considered the skewed popularity of user's input word, ranking results are more
Accurately, more meet the demand of user.
In the above-described embodiments, the search result obtained to search is inputted by acquisition user to other applications
Input word optimizes sequence to it, so that the sequence of search result considers input feelings of the user in other applications
Condition, realizes the cross-platform optimization of search result, so that the search result after sequence is enable to meet the needs of users from many aspects,
It solves the limitation of search results ranking in the prior art, improves the popularity and accuracy of search result optimization.Into one
Step, the present embodiment is when considering the input word of other applications, it is also contemplated that each input word it is corresponding input environment,
Search result is ranked up by input word and its input environment, further improves the accuracy of search results ranking, more
It is able to satisfy the demand of user.
A kind of method of Optimizing Search result is provided for above-described embodiment, the embodiment of the present application also correspondence provides a kind of excellent
The device for changing search result, referring to FIG. 2, the device includes:
Search unit 21, the search result obtained for obtaining the first application program according to search key；
Acquiring unit 22, for obtaining the history input word of user's input, the history input word includes user to second
The input word of application program input；
Sequencing unit 23, for being ranked up according to the history input word to described search result.
As an alternative embodiment, the acquiring unit 22 is used for: the input inputted to user by input method
Word is screened, and obtains the sincere word in input word as the history input word.
As an alternative embodiment, described device further include: display unit 24, for show sequence after described in
Search result.
As an alternative embodiment, the sequencing unit 23 is used for: obtaining each history input word and searched at every
The number occurred in hitch fruit；According to occurring the number of history input word in every search result, every search result is carried out
It sorts, the sequence more than frequency of occurrence is forward.
As an alternative embodiment, the sequencing unit 23 can be also used for: including in acquisition history input word
Each input word input number, and/or, obtain history input word in include the corresponding input environment of each input word；
According to the input number and/or corresponding input environment of each input word for including in the history input word, to described search
As a result it is ranked up.
As an alternative embodiment, the sequencing unit 23 includes: computing module and sorting module.Computing module
For: it is calculated according to the input number of each input word similar between the history input word and every search result
Degree, alternatively, calculating the history input word and every according to the input number of each input word and corresponding input environment
Similarity between search result；Sorting module is used for: being ranked up according to the similarity to every search result, similarity
Big sequence is forward.
As an alternative embodiment, the computing module can be used for:
According to the input number of each input word, the first term vector is constructed for the history input word；Every is searched
Hitch fruit is segmented, and is that every search result constructs the second term vector according to the frequency of occurrence of participle each in word segmentation result；
The similarity between first term vector and second term vector is obtained as every search result and the history
Similarity between input word.
As an alternative embodiment, the computing module can be also used for:
According to each input word and each input word, the number of the upper screen in corresponding input environment, is described
History input word constructs third term vector；Every search result is segmented, according to the appearance of participle each in word segmentation result
Number and the corresponding input environment of the affiliated type of every search result are that every search result constructs the 4th term vector；Obtain institute
The similarity between third term vector and the 4th term vector is stated as every search result and the history input word
Between similarity.
About the device in above-described embodiment, wherein modules execute the concrete mode of operation in related this method
Embodiment in be described in detail, no detailed explanation will be given here.
Fig. 3 is a kind of electronic equipment for realizing Optimizing Search result method shown according to an exemplary embodiment
800 block diagram.For example, electronic equipment 800 can be mobile phone, computer, digital broadcasting terminal, messaging device, trip
Play console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc..
Referring to Fig. 3, electronic equipment 800 may include following one or more components: processing component 802, memory 804,
Power supply module 806, multimedia component 808, audio component 810 input/show the interface 812 of (I/O), sensor module 814,
And communication component 816.
The integrated operation of the usual controlling electronic devices 800 of processing component 802, such as with display, call, data are logical
Letter, camera operation and record operate associated operation.Processing element 802 may include one or more processors 820 to hold
Row instruction, to perform all or part of the steps of the methods described above.In addition, processing component 802 may include one or more moulds
Block, convenient for the interaction between processing component 802 and other assemblies.For example, processing component 802 may include multi-media module, with
Facilitate the interaction between multimedia component 808 and processing component 802.
Memory 804 is configured as storing various types of data to support the operation in equipment 800.These data are shown
Example includes the instruction of any application or method for operating on electronic equipment 800, contact data, telephone directory number
According to, message, picture, video etc..Memory 804 can by any kind of volatibility or non-volatile memory device or they
Combination realize, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM) is erasable
Programmable read only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, quick flashing
Memory, disk or CD.
Power supply module 806 provides electric power for the various assemblies of electronic equipment 800.Power supply module 806 may include power supply pipe
Reason system, one or more power supplys and other with for electronic equipment 800 generate, manage, and distribute the associated component of electric power.
Multimedia component 808 includes the screen that offer one between the electronic equipment 800 and user shows interface.
In some embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touch surface
Plate, screen may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touches
Sensor is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or sliding
The boundary of movement, but also detect duration and pressure associated with the touch or slide operation.In some embodiments,
Multimedia component 808 includes a front camera and/or rear camera.When equipment 800 is in operation mode, as shot mould
When formula or video mode, front camera and/or rear camera can receive external multi-medium data.Each preposition camera shooting
Head and rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 810 is configured as showing and/or input audio signal.For example, audio component 810 includes a Mike
Wind (MIC), when electronic equipment 800 is in operation mode, when such as call mode, recording mode, and voice recognition mode, microphone
It is configured as receiving external audio signal.The received audio signal can be further stored in memory 804 or via logical
Believe that component 816 is sent.In some embodiments, audio component 810 further includes a loudspeaker, for showing audio signal.
I/O interface 812 provides interface between processing component 802 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include, but are not limited to: home button, volume button, start button and lock
Determine button.
Sensor module 814 includes one or more sensors, for providing the state of various aspects for electronic equipment 800
Assessment.For example, sensor module 814 can detecte the state that opens/closes of equipment 800, the relative positioning of component, such as institute
The display and keypad that component is electronic equipment 800 are stated, sensor module 814 can also detect electronic equipment 800 or electronics
The position change of 800 1 components of equipment, the existence or non-existence that user contacts with electronic equipment 800,800 orientation of electronic equipment
Or the temperature change of acceleration/deceleration and electronic equipment 800.Sensor module 814 may include proximity sensor, be configured to
It detects the presence of nearby objects without any physical contact.Sensor module 814 can also include optical sensor, such as
CMOS or ccd image sensor, for being used in imaging applications.In some embodiments, which can be with
Including acceleration transducer, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 816 is configured to facilitate the communication of wired or wireless way between electronic equipment 800 and other equipment.
Electronic equipment 800 can access the wireless network based on communication standard, such as WiFi, 2G or 3G or their combination.Show at one
In example property embodiment, communication component 816 receives broadcast singal or broadcast from external broadcasting management system via broadcast channel
Relevant information.In one exemplary embodiment, the communication component 816 further includes near-field communication (NFC) module, short to promote
Cheng Tongxin.For example, radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band can be based in NFC module
(UWB) technology, bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, electronic equipment 800 can be by one or more application specific integrated circuit (ASIC), number
Word signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for executing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instruction, example are additionally provided
It such as include the memory 804 of instruction, above-metioned instruction can be executed by the processor 820 of electronic equipment 800 to complete the above method.Example
Such as, the non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, tape, soft
Disk and optical data storage devices etc..
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by the processing of mobile terminal
When device executes, so that a kind of method that mobile terminal is able to carry out Optimizing Search result, which comprises obtain the first application
The search result that program is obtained according to search key；The history input word of user's input is obtained, the history input word includes
The input word that user inputs to the second application program；Described search result is ranked up according to the history input word.
Fig. 3 is the structural schematic diagram of server in the embodiment of the present invention.The server 1900 can be different because of configuration or performance
And generate bigger difference, may include one or more central processing units (central processing units,
CPU) 1922 (for example, one or more processors) and memory 1932, one or more storage application programs
1942 or data 1944 storage medium 1930 (such as one or more mass memory units).Wherein, memory 1932
It can be of short duration storage or persistent storage with storage medium 1930.Be stored in storage medium 1930 program may include one or
More than one module (diagram does not mark), each module may include to the series of instructions operation in server.Further
Ground, central processing unit 1922 can be set to communicate with storage medium 1930, and storage medium 1930 is executed on server 1900
In series of instructions operation.
Server 1900 can also include one or more power supplys 1926, one or more wired or wireless nets
Network interface 1950, one or more inputs show interface 1958, one or more keyboards 1956, and/or, one or
More than one operating system 1941, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM
Etc..
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or
Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of method of Optimizing Search result characterized by comprising
Obtain the search result that the first application program is obtained according to search key；
The history input word of user's input is obtained, the history input word includes the input that user inputs to the second application program
Word；
Described search result is ranked up according to the history input word.
2. the method as described in claim 1, which is characterized in that arranged according to the history input word described search result
Sequence, comprising:
Obtain the number that each history input word occurs in every search result；
According to occurring the number of history input word in every search result, every search result is ranked up, frequency of occurrence is more
Sequence it is forward.
3. the method as described in claim 1, which is characterized in that arranged according to the history input word described search result
Sequence, comprising:
The input number for each input word for including in history input word is obtained, and/or, include in acquisition history input word is each
The corresponding input environment of a input word；
According to the input number and/or corresponding input environment of each input word for including in the history input word, to described
Search result is ranked up.
4. method as claimed in claim 3, which is characterized in that according to each input word for including in the history input word
Number and/or corresponding input environment are inputted, described search result is ranked up, comprising:
The similarity between the history input word and every search result is calculated according to the input number of each input word,
Alternatively, calculating the history input word and every search according to the input number of each input word and corresponding input environment
As a result the similarity between；
Every search result is ranked up according to the similarity, the big sequence of similarity is forward.
5. method as claimed in claim 4, which is characterized in that gone through according to the calculating of the input number of each input word
Similarity between history input word and every search result, comprising:
According to the input number of each input word, the first term vector is constructed for the history input word；
Every search result is segmented, is every search result building according to the frequency of occurrence of participle each in word segmentation result
Second term vector；
Obtain similarity between first term vector and second term vector as every search result with it is described
Similarity between history input word.
6. method as claimed in claim 4, which is characterized in that according to the input number of each input word and corresponding defeated
Enter environment and calculate similarity between the history input word and every search result, comprising:
According to each input word and each input word, the number of the upper screen in corresponding input environment, is the history
Input word constructs third term vector；
Every search result is segmented, according to the frequency of occurrence of participle each in word segmentation result and every search result institute
Belonging to the corresponding input environment of type is that every search result constructs the 4th term vector；
Obtain similarity between the third term vector and the 4th term vector as every search result with it is described
Similarity between history input word.
7. the method as described in claim 1~6 is any, which is characterized in that the acquisition user is gone through by what input method inputted
History input word, comprising:
User is screened by the input word that input method inputs, the sincere word obtained in input word is inputted as the history
Word.
8. a kind of device of Optimizing Search result characterized by comprising
Search unit, the search result obtained for obtaining the first application program according to search key；
Acquiring unit, for obtaining the history input word of user's input, the history input word includes user to second using journey
The input word of sequence input；
Sequencing unit, for being ranked up according to the history input word to described search result.
9. a kind of electronic equipment, which is characterized in that include memory and one or more than one program, wherein one
A perhaps more than one program is stored in memory and is configured to execute described one by one or more than one processor
A or more than one program includes the instruction for performing the following operation:
Obtain the search result that the first application program is obtained according to search key；
The history input word of user's input is obtained, the history input word includes the input that user inputs to the second application program
Word；
Described search result is ranked up according to the history input word.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
It is performed the steps of when execution
Obtain the search result that the first application program is obtained according to search key；
The history input word of user's input is obtained, the history input word includes the input that user inputs to the second application program
Word；
Described search result is ranked up according to the history input word.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711236646.XA CN109948039A (en) | 2017-11-30 | 2017-11-30 | A kind of method, apparatus and electronic equipment of Optimizing Search result |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711236646.XA CN109948039A (en) | 2017-11-30 | 2017-11-30 | A kind of method, apparatus and electronic equipment of Optimizing Search result |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109948039A true CN109948039A (en) | 2019-06-28 |
Family
ID=67003925
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711236646.XA Pending CN109948039A (en) | 2017-11-30 | 2017-11-30 | A kind of method, apparatus and electronic equipment of Optimizing Search result |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109948039A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111026933A (en) * | 2019-11-22 | 2020-04-17 | 泰康保险集团股份有限公司 | Content recommendation method and device, electronic equipment and storage medium |
| CN113886685A (en) * | 2021-09-23 | 2022-01-04 | 北京三快在线科技有限公司 | Searching method, searching device, storage medium and electronic equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102314461A (en) * | 2010-06-30 | 2012-01-11 | 北京搜狗科技发展有限公司 | Navigation prompt method and system |
| CN102779136A (en) * | 2011-05-13 | 2012-11-14 | 北京搜狗科技发展有限公司 | Method and device for information search |
| CN103019398A (en) * | 2011-09-20 | 2013-04-03 | 腾讯科技（深圳）有限公司 | Character input method and character input device |
| CN103106241A (en) * | 2012-12-13 | 2013-05-15 | 江苏乐买到网络科技有限公司 | Method for searching network goods |
| US20140214817A1 (en) * | 2009-03-31 | 2014-07-31 | Ebay Inc. | Ranking algorithm for search oueries |
| CN106649409A (en) * | 2015-11-04 | 2017-05-10 | 陈包容 | Method and apparatus for displaying search result based on scene information |
| CN106708282A (en) * | 2015-12-02 | 2017-05-24 | 北京搜狗科技发展有限公司 | Recommending method and device and device for recommending |
-
2017
- 2017-11-30 CN CN201711236646.XA patent/CN109948039A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140214817A1 (en) * | 2009-03-31 | 2014-07-31 | Ebay Inc. | Ranking algorithm for search oueries |
| CN102314461A (en) * | 2010-06-30 | 2012-01-11 | 北京搜狗科技发展有限公司 | Navigation prompt method and system |
| CN102779136A (en) * | 2011-05-13 | 2012-11-14 | 北京搜狗科技发展有限公司 | Method and device for information search |
| CN103019398A (en) * | 2011-09-20 | 2013-04-03 | 腾讯科技（深圳）有限公司 | Character input method and character input device |
| CN103106241A (en) * | 2012-12-13 | 2013-05-15 | 江苏乐买到网络科技有限公司 | Method for searching network goods |
| CN106649409A (en) * | 2015-11-04 | 2017-05-10 | 陈包容 | Method and apparatus for displaying search result based on scene information |
| CN106708282A (en) * | 2015-12-02 | 2017-05-24 | 北京搜狗科技发展有限公司 | Recommending method and device and device for recommending |
Non-Patent Citations (2)
| Title |
|---|
| 启典文化: "《新手学五笔打字与电脑办公》", 30 November 2016 * |
| 邱莉榕等: "《算法设计与优化》", 28 February 2017, 中央民族大学出版社 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111026933A (en) * | 2019-11-22 | 2020-04-17 | 泰康保险集团股份有限公司 | Content recommendation method and device, electronic equipment and storage medium |
| CN111026933B (en) * | 2019-11-22 | 2023-03-21 | 泰康保险集团股份有限公司 | Content recommendation method and device, electronic equipment and storage medium |
| CN113886685A (en) * | 2021-09-23 | 2022-01-04 | 北京三快在线科技有限公司 | Searching method, searching device, storage medium and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109800325A (en) | Video recommendation method, device and computer readable storage medium | |
| CN108334539B (en) | Object recommendation method, mobile terminal and computer-readable storage medium | |
| US20190236099A1 (en) | Picture processing method and apparatus, and electronic device | |
| CN109117862A (en) | Image tag recognition methods, device and server | |
| CN107229348A (en) | A kind of input error correction method, device and the device for inputting error correction | |
| CN107784045B (en) | Quick reply method and device for quick reply | |
| CN107315487B (en) | Input processing method and device and electronic equipment | |
| CN109918565A (en) | A kind of processing method, device and electronic equipment for searching for data | |
| CN108121736A (en) | A kind of descriptor determines the method for building up, device and electronic equipment of model | |
| CN107621886A (en) | Method, apparatus and electronic equipment are recommended in one kind input | |
| CN108958503A (en) | input method and device | |
| CN109670077A (en) | Video recommendation method, device and computer readable storage medium | |
| CN111125523A (en) | Searching method, searching device, terminal equipment and storage medium | |
| CN104735243A (en) | Method and device for displaying contact list | |
| CN110110207A (en) | A kind of information recommendation method, device and electronic equipment | |
| CN109213942A (en) | A kind of search result methods of exhibiting and device | |
| WO2020221121A1 (en) | Video query method, device, apparatus, and storage medium | |
| CN106202411A (en) | A kind of Search Results methods of exhibiting and device | |
| CN110020145A (en) | A kind of information recommendation method and device | |
| CN107728877B (en) | Application recommendation method and mobile terminal | |
| CN108874827A (en) | A kind of searching method and relevant apparatus | |
| CN107526740A (en) | A kind of method and electronic equipment for showing search result | |
| CN109948039A (en) | A kind of method, apparatus and electronic equipment of Optimizing Search result | |
| CN107506441A (en) | A kind of data arrangement method, apparatus, electronic equipment and storage medium | |
| CN106131296A (en) | Information displaying method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190628 |
|
| RJ01 | Rejection of invention patent application after publication |