CN109521888A - A kind of input method, device and medium - Google Patents
A kind of input method, device and medium Download PDFInfo
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- CN109521888A CN109521888A CN201710848202.5A CN201710848202A CN109521888A CN 109521888 A CN109521888 A CN 109521888A CN 201710848202 A CN201710848202 A CN 201710848202A CN 109521888 A CN109521888 A CN 109521888A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0236—Character input methods using selection techniques to select from displayed items
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Abstract
The embodiment of the invention provides a kind of input method, device and media, input method therein specifically includes: according to the matching degree between the corresponding current input environment feature of input string and history input environment feature of user, determining the corresponding candidate item of the input string of user weight corresponding to the word frequency under history input environment feature；Word frequency of the candidate item under history input environment feature is that the history input behavior data of foundation user obtain, and the history input behavior data include: upper screen content and its corresponding history input environment feature；According to the weight, processing is weighted to word frequency of the candidate item under at least one history input environment feature, to obtain the corresponding target word frequency of the candidate item；According to the corresponding target word frequency of the candidate item, the candidate item is ranked up.The embodiment of the present invention can make the ranking results of candidate item be more in line with the intention of input corresponding to current input environment feature, and then the input efficiency of user can be improved.
Description
Technical field
The present invention relates to input method technique fields more particularly to a kind of input method, a kind of input unit, one kind for defeated
The device and a kind of machine readable media entered.
Background technique
With the universal and development of computer technology and Internet technology, input method procedure has become user and calculates
The important tool of machine interaction.Different majors field, different interest and use habit user, for the intelligence of input method procedure
Property require it is higher and higher.
Existing input method procedure can update in dictionary according to the upper screen word of user in input process and correspond to entry
Word frequency facilitates user to select so that screen word can come position more forward in candidate item in subsequent input process on this
It selects.
In practical applications, usually there is different inputs under different input environments and be intended in user.For example, for defeated
Enter string " lyq ", under the input environment of electric business platform, the input intention of user may be " one-piece dress "；And in tourism platform
Under input environment, the input intention of user may be " tourist district "；Under the input environment of search engine, the input of user is intended to
It may be " router " etc..
However, the existing input method procedure generally fixedly word frequency according to entry in dictionary, is ranked up candidate item,
And the ranking results of candidate item can not be made to meet the intention of input corresponding to current input environment.For example, for input string
" lyq ", existing input method procedure are usually ranked up the corresponding candidate item of input string " lyq " according to word frequency, flat in electric business
Under the different input environment of platform, tourism platform or search engine etc., the sequence of existing the provided candidate item of input method procedure
As a result it is often consistent, therefore the ranking results for making candidate item can not be intended to the input corresponding to current input environment
Variation and change.
Summary of the invention
The embodiment of the present invention provides a kind of input method, input unit, for the device of input and a kind of machine readable
Medium can make the ranking results of candidate item be more in line with the intention of input corresponding to current input environment feature, and then can be with
Improve the input efficiency of user.
To solve the above-mentioned problems, the embodiment of the invention discloses a kind of input methods, comprising:
Matching degree between the corresponding current input environment feature of input string and history input environment feature of foundation user,
Determine the corresponding candidate item of the input string of user weight corresponding to the word frequency under history input environment feature；Wherein, described
Word frequency of the candidate item under history input environment feature is that the history input behavior data of foundation user obtain, the history input
Behavioral data includes: upper screen content and its corresponding history input environment feature；
According to the weight, place is weighted to word frequency of the candidate item under at least one history input environment feature
Reason, to obtain the corresponding target word frequency of the candidate item；
According to the corresponding target word frequency of the candidate item, the candidate item is ranked up.
Optionally, the matching degree between the current input environment feature and history input environment feature includes: current defeated
Enter the degree of correlation between environmental characteristic and history input environment feature.
Optionally, the degree of correlation between the current input environment feature and history input environment feature is according to user point
History input behavior data not under the current input environment feature and the history input environment feature obtain.
Optionally, the degree of correlation between the current input environment feature and history input environment feature is according in upper screen
The co-occurrence frequency held under the current input environment feature and history input environment feature obtains.
Optionally, word frequency institute of the corresponding candidate item of input string of the determining user under history input environment feature is right
The weight answered, comprising:
It is gone through according to the matching degree between current input environment feature and history input environment feature, the corresponding entry of candidate item
The word frequency of Shi Shangping time and/or candidate item under history input environment feature, determines the corresponding candidate item of the input string of user
The weight corresponding to the word frequency under history input environment feature.
Optionally, the current input environment feature and/or history input environment feature include: time environmental characteristic, position
Set at least one of environmental characteristic, climatic environment simulation, application environment feature and page context feature.
Optionally, the method also includes:
Collect the history input behavior data of user；The history input behavior data include: upper screen content and its correspondence
History input environment feature；
According to the history input behavior data, establishes and save between entry, history input environment feature and word frequency
Mapping relations.
Another aspect, the embodiment of the invention discloses a kind of input units, comprising:
Weight determination module, for the corresponding current input environment feature of input string and history input environment according to user
Matching degree between feature determines the corresponding candidate item of the input string of user corresponding to the word frequency under history input environment feature
Weight；Wherein, word frequency of the candidate item under history input environment feature is the history input behavior data according to user
It obtains, the history input behavior data include: upper screen content and its corresponding history input environment feature；
Processing module is weighted, is used for according to the weight, to the candidate item at least one history input environment feature
Under word frequency be weighted processing, to obtain the corresponding target word frequency of the candidate item；And
Sort display module, for being ranked up simultaneously to the candidate item according to the corresponding target word frequency of the candidate item
Show.
Optionally, the matching degree between the current input environment feature and history input environment feature includes: current defeated
Enter the degree of correlation between environmental characteristic and history input environment feature.
Optionally, the degree of correlation between the current input environment feature and history input environment feature is according to user point
History input behavior data not under the current input environment feature and the history input environment feature obtain.
Optionally, the degree of correlation between the current input environment feature and history input environment feature is according in upper screen
The co-occurrence frequency held under the current input environment feature and history input environment feature obtains.
Optionally, the weight determination module includes:
Weight determines submodule, for according to the matching between current input environment feature and history input environment feature
Degree, candidate item correspond to word frequency of the screen time and/or candidate item under history input environment feature in history of entry, determine user
The corresponding candidate item of input string weight corresponding to the word frequency under history input environment feature.
Optionally, the current input environment feature and/or history input environment feature include: time environmental characteristic, position
Set at least one of environmental characteristic, climatic environment simulation, application environment feature and page context feature.
Optionally, described device further include:
Collection module, for collecting the history input behavior data of user；The history input behavior data include: upper screen
Content and its corresponding history input environment feature；
Preserving module is established in mapping, for establishing and saving entry, history input according to the history input behavior data
Mapping relations between environmental characteristic and word frequency.
In another aspect, the embodiment of the invention discloses a kind of device for input, include memory and one or
The more than one program of person, one of them perhaps more than one program be stored in memory and be configured to by one or
It includes the instruction for performing the following operation that more than one processor, which executes the one or more programs:
Matching degree between the corresponding current input environment feature of input string and history input environment feature of foundation user,
Determine the corresponding candidate item of the input string of user weight corresponding to the word frequency under history input environment feature；Wherein, described
Word frequency of the candidate item under history input environment feature is that the history input behavior data of foundation user obtain, the history input
Behavioral data includes: upper screen content and its corresponding history input environment feature；
According to the weight, place is weighted to word frequency of the candidate item under at least one history input environment feature
Reason, to obtain the corresponding target word frequency of the candidate item；
According to the corresponding target word frequency of the candidate item, the candidate item is ranked up and is showed.
Another aspect, the embodiment of the invention discloses one or more machine readable medias, are stored thereon with instruction, when by
When one or more processors execute, so that device executes input method described in aforementioned one or more.
The embodiment of the present invention includes following advantages:
The embodiment of the present invention is weighted processing for word frequency of the candidate item under history input environment feature, wherein
In above-mentioned weighting treatment process, it can be obtained according to the matching degree between current input environment feature and history input environment feature
Weight, thus can be reflected by the size of above-mentioned weight word frequency of the candidate item under certain history input environment feature with it is currently defeated
Enter the matching degree or the degree of approach between input intention corresponding to environmental characteristic, in this way, the weighting of the embodiment of the present invention is handled
The word frequency under the history input environment feature that input corresponding to closer current input environment feature is intended to can be increased, because
This, the target word frequency handled according to weighting is ranked up candidate item, and the ranking results of candidate item can be made to be more in line with
Input corresponding to current input environment feature is intended to, and then the input efficiency of user can be improved.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of step flow chart of the processing method embodiment of dictionary of the invention；
Fig. 2 is a kind of step flow chart of input method embodiment of the invention；
Fig. 3 is a kind of structural block diagram of input unit embodiment of the invention；
Fig. 4 is a kind of block diagram of device 800 for input of the invention；And
Fig. 5 is the structural schematic diagram of server in some embodiments of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Relative to the mapping relations between traditional dictionary record entry and word frequency, the embodiment of the present invention proposes environment word
The concept in library.Specifically, the embodiment of the present invention can save entry, history input environment feature and word by first environment dictionary
Mapping relations between frequency, alternatively, certain corresponding second environment dictionary of history input environment feature can be constructed, and by being somebody's turn to do
Second environment dictionary saves the mapping relations between entry and word frequency.Pass through above-mentioned first environment dictionary or second environment word
Library, word frequency of the available candidate item under history input environment feature.
The embodiment of the invention provides a kind of input scheme, the program can according to user input string it is corresponding current defeated
Enter the matching degree between environmental characteristic and history input environment feature, determines that the corresponding candidate item of the input string of user is defeated in history
Enter weight corresponding to the word frequency under environmental characteristic, and according to the weight, the candidate item is inputted at least one history
Word frequency under environmental characteristic is weighted processing, to obtain the corresponding target word frequency of the candidate item；And then according to the candidate
The corresponding target word frequency of item, is ranked up and shows to the candidate item.
The embodiment of the present invention is weighted processing for word frequency of the candidate item under history input environment feature, wherein on
Stating can reflect in weighting treatment process for candidate item weight used in the word frequency under certain history input environment feature
The significance level of word frequency of the candidate item under certain history input environment feature, due to can according to current input environment feature with
Matching degree between history input environment feature obtains above-mentioned weight, therefore can reflect that candidate item exists by the size of above-mentioned weight
Corresponding to word frequency and current input environment feature under certain history input environment feature input be intended between matching degree or
Person's degree of approach, in this way, the weighting processing of the embodiment of the present invention can increase closer to defeated corresponding to current input environment feature
Enter the word frequency under the history input environment feature of intention, therefore, candidate item is carried out according to the target word frequency that weighting is handled
Sequence can make the ranking results of candidate item be more in line with the intention of input corresponding to current input environment feature, and then can be with
Improve the input efficiency of user.
The embodiment of the present invention can be applied to the input method of the input modes such as keyboard symbol input, handwriting input, voice input
Program, for ease of description, the coded string that user inputs under above-mentioned input mode is known as input string by the embodiment of the present invention.
Input method field usually can be defeated by user for the input method procedure of such as Chinese, Japanese, Korean or other Languages
The input string entered is converted into the candidate item of corresponding language.Below mainly by taking Chinese as an example to the input process of the embodiment of the present invention into
Row explanation, other Languages are cross-referenced.It is appreciated that the Chinese character coding input method can include but is not limited to spelling, simplicity,
Stroke, five etc., specific input method procedure corresponding for certain language of the embodiment of the present invention is without restriction.
Wherein, input method procedure may operate in terminal, and above-mentioned terminal specifically includes but unlimited: smart phone, plate
Computer, E-book reader, MP3 (dynamic image expert's compression standard audio level 3, Moving Picture Experts
Group Audio Layer III) player, MP4 (dynamic image expert's compression standard audio level 4, Moving Picture
Experts Group Audio Layer IV) player, pocket computer on knee, vehicle-mounted computer, desktop computer, machine top
Box, intelligent TV set, wearable device etc..
According to some embodiments, above-mentioned input string be can include but is not limited to: user is pressed by one that key is inputted
The combination of keysym or multiple key symbols.The key symbols can specifically include: phonetic, stroke, assumed name etc..
Embodiment of the method one
Referring to Fig.1, a kind of step flow chart of the processing method embodiment of dictionary of the invention is shown, specifically can wrap
It includes:
Step 101, the history input behavior data for collecting user；The history input behavior data may include: upper screen
Content and its corresponding history input environment feature；
Step 102, according to the history input behavior data, establish and save entry, history input environment feature and word
Mapping relations between frequency.
In the embodiment of the present invention, environmental information locating for terminal when input environment feature can be used for characterizing user's input.It is defeated
Entering environmental characteristic can reflect that the input of user is intended to a certain extent, therefore, in the input of input environment feature and user
Connection is established between intention, can be intended to the input of indirect identification user, and then improves the input efficiency of user.
In practical applications, above-mentioned input environment feature may include various types of features.Optionally, above-mentioned input ring
Border feature may include: time environmental characteristic, location circumstances feature, climatic environment simulation, application environment feature and the page
At least one of environmental characteristic.
Even if same terminal, locating for environmental information be likely to be variation, time environmental characteristic is exactly one
Typical example.Therefore, the input environment feature of the embodiment of the present invention can have real-time, in input process, Ke Yishi
When obtain the corresponding input environment feature of input string.
For an input string, receiving time can be used as corresponding time environmental characteristic.
According to its address IP (agreement interconnected between network, Internet Protocol), the GPS (global location of terminal
System, Global Positioning System) or mobile communications network obtain location information can be used as corresponding position
Environmental characteristic.
The identification feature for obtaining input method procedure existing object being served can determine corresponding application environment
Feature, for example, input method procedure is in operation, calling GetModuleFilename discovery Program path name " C:
ProgramFiles MicrosoftOffice OFFICE11 WINWORD.EXE ", that is, can determine corresponding application environment feature
It for " WinWord.exe " namely input string is inputted in word application program.
The page context that page context feature can be used for characterizing application program or website provides, optionally, the above-mentioned page
Environment can include but is not limited to: instant messaging IM page context, file page environment, e-mail page environment, Password Input page
Face ring border, game page environment, searched page environment, tourism page context, shopping page environment, social page context, video display
Page context, reading page environment etc..
Certainly, other than time environmental characteristic, location circumstances feature, application environment feature and page context feature,
The input environment feature of the embodiment of the present invention can also include other environmental characteristics, for example, the objects such as air pressure, height above sea level, temperature, humidity
Manage environmental characteristic etc..Wherein it is possible to understand, the embodiment of the present invention is without restriction for specific input environment feature.
Referring to table 1, the mapping between a kind of input environment classification and input environment feature of the embodiment of the present invention is shown
The signal of relationship, wherein input environment can be divided into corresponding input according to practical application request by those skilled in the art
Environment category, it will be understood that the embodiment of the present invention is not subject to specific input environment classification and its corresponding input environment
Limitation.
Table 1
In practical applications, the history input behavior data of user can be collected by client, wherein use can be passed through
The facility information of family account and/or terminal identifies user.For example, above equipment information may include: that (world movement is set IMEI
Standby device identity, International Mobile Equipment Identity) etc..The embodiment of the present invention can be directed to
The history input behavior data of one user are established and save reflecting between entry, history input environment feature and word frequency
Relationship is penetrated, and provides the service in input process to the user by the mapping relations, since the history input behavior data can
To meet the personalized input habit of user, therefore the ranking results of candidate item can be made to be more in line with individual consumer and/or group
The input of body user is intended to.
In the embodiment of the present invention, upper screen content can be used for indicating one or more characters corresponding with input string.Upper screen
Content can may be face text, draw text for the character of the language such as Chinese character, English character, Japanese character, upper screen content
The symbol combination of the forms such as word (Emoji), picture.Wherein, the face text includes but is not limited to lines, symbol, text institute group
At picture, for example, the example of the face text may include: ": P ", " :-o ", ": -) " etc..
The embodiment of the present invention can be saved using upper screen content as entry.At the same time it can also go through entry is corresponding
History input environment feature and word frequency are saved.It is alternatively possible to which the upper screen number according to entry obtains the word frequency, which can
With consistent with the upper screen number of entry.
According to a kind of embodiment, the embodiment of the present invention can save entry, history input environment by first environment dictionary
Mapping relations between feature and word frequency.Referring to table 2, a kind of signal of first environment dictionary of the embodiment of the present invention is shown,
Wherein, environmental information locating for its terminal when history input environment feature can input entry for user.
Table 2
It is appreciated that first environment dictionary shown in such as table 2 is intended only as the optional reality of the dictionary of the embodiment of the present invention
Example is applied, in fact, those skilled in the art can save word by the environment dictionary of other forms according to practical application request
Mapping relations between item, history input environment feature and word frequency.For example, certain can also be constructed according to another embodiment
The corresponding second environment dictionary of history input environment feature, and reflecting between entry and word frequency is saved by the second environment dictionary
Penetrate relationship.By above-mentioned first environment dictionary or second environment dictionary, available candidate item is in history input environment feature
Under word frequency.
To sum up, the embodiment of the present invention is by the history input behavior data of user, using history input environment feature as granularity into
Row record, in this way, dictionary can be made to have input environment attribute, therefore can make dictionary preferably more accurately meet user's
Input demand.
Embodiment of the method two
Referring to Fig. 2, a kind of step flow chart of input method embodiment of the invention is shown, can specifically include:
Between step 201, the corresponding current input environment feature of input string and history input environment feature of foundation user
Matching degree, determine the corresponding candidate item of the input string of user weight corresponding to the word frequency under history input environment feature；
Wherein, word frequency of the candidate item under history input environment feature can obtain for the history input behavior data according to user
It arrives, the history input behavior data may include: upper screen content and its corresponding history input environment feature；
Step 202, according to the weight, to word frequency of the candidate item under at least one history input environment feature into
Row weighting processing, to obtain the corresponding target word frequency of the candidate item；
Step 203, according to the corresponding target word frequency of the candidate item, the candidate item is ranked up and is showed.
In practical applications, input string of the available user in input process, wherein user can be defeated with keyboard symbol
Enter, handwriting input, the input modes such as voice input carry out the input of above-mentioned input string.The embodiment of the present invention is mainly with pinyin string
Example is illustrated, and the corresponding input string of other input modes is cross-referenced.
In practical applications, it can be searched in dictionary according to the input string of user, to obtain the input string of user
Corresponding candidate item.Optionally, above-mentioned dictionary may include: local dictionary and/or cloud dictionary, either local dictionary or cloud
Dictionary, corresponding dictionary may each comprise: system dictionary, user thesaurus, cell dictionary, N member dictionary and environment dictionary above-mentioned
(including first environment dictionary and/or second environment dictionary) etc., it will be understood that it is right that the embodiment of the present invention searches institute for candidate item
The specific dictionary answered is without restriction.
Current input environment feature is the corresponding input environment feature of input string, and history input environment feature is history input
The corresponding input environment feature of upper screen content in behavioral data, the embodiment of the present invention can according to current input environment feature with
Matching degree between history input environment feature determines candidate item power corresponding to the word frequency under history input environment feature
Weight, that is, the significance level of word frequency of the candidate item under history input environment feature.
In practical applications, the matching degree between current input environment feature and history input environment feature may include:
Similarity and/or the degree of correlation etc..Wherein it is possible to the matching degree be characterized by specific numerical value, alternatively, matching degree can be passed through
Grade characterizes the matching degree.For example, the corresponding numerical value of matching degree can be in the range of [0,1], the number of matching degree grade
Can be N, wherein N is natural number, for example, the value of N can be 3, matching degree grade may include: it is advanced, intermediate and rudimentary,
Certainly, the embodiment of the present invention is without restriction for specific matching degree grade and the corresponding embodiments mode of matching degree.
Wherein it is possible to by comparing current input environment feature and history input environment feature, to determine between the two
Similarity.For example, the title that both can compare, alternatively, input environment classification etc. belonging to the two can be compared, to obtain pair
The similarity answered.
The degree of correlation between current input environment feature and history input environment feature can be used for indicating pass between the two
Connection degree.In practical applications, can the preset degree of correlation between the two, alternatively, can be according to the corresponding history line of input of the two
For data, the degree of correlation between the two is determined.It is appreciated that the embodiment of the present invention is defeated for current input environment feature and history
The specific method of determination for entering the degree of correlation between environmental characteristic is without restriction.
For example, arbitrary two kinds of input environment features can be directed to, the preset degree of correlation between the two is simultaneously saved in relationship
Table, in this way, can be determined related between current input environment feature and history input environment feature by inquiring the relation table
Degree.
The corresponding history input behavior data of both above-mentioned foundations, determine that the process of the degree of correlation between the two can wrap
It includes: according to user's history input behavior number under the current input environment feature and the history input environment feature respectively
According to the determining degree of correlation between the two.It in practical applications, can be to user respectively in the current input environment feature and institute
The history input behavior data stated under history input environment feature are counted, and to obtain the degree of correlation between the two, here, are used
History input behavior data of the family respectively under the current input environment feature and the history input environment feature are related to
User can be all or part of user in the whole network.It is alternatively possible to which statistics obtains screen content described current defeated first
Enter the co-occurrence frequency under environmental characteristic and history input environment feature, then obtains correlation between the two according to the co-occurrence frequency
Degree.The acquisition process of co-occurrence frequency may include: the upper screen under determining current input environment feature and history input environment feature
The number of the number N of content and the upper screen content occurred jointly under current input environment feature and history input environment feature
Mesh M, using M/N as co-occurrence frequency.In practical applications, can directly using co-occurrence frequency as the degree of correlation between the two, or
Co-occurrence frequency can also be further processed in person, to obtain the degree of correlation between the two, for example, can be according to user's
Feedback information is adjusted above-mentioned co-occurrence frequency, to obtain the degree of correlation between the two.Specifically, above-mentioned feedback information can
To include: positive feedback and negative-feedback, above-mentioned co-occurrence frequency can be turned up according to positive and negative feedforward information, alternatively, can be according to negative anti-
Feedforward information, above-mentioned co-occurrence frequency is turned down, etc..
In an alternative embodiment of the invention, above-mentioned weight can be directly proportional to above-mentioned matching degree, that is, matching degree
Higher, then weight is bigger.
In another alternative embodiment of the invention, can be preset and the mapping relations between matching degree and weight be saved
Table, in this way, step 201 can determine that the corresponding candidate item of the input string of user is defeated in history by inquiring the mapping table
Enter weight corresponding to the word frequency under environmental characteristic.
Referring to table 3, a kind of example of mapping table of the embodiment of the present invention is shown, can specifically include: matching
Degree and its corresponding weight W, wherein matching degree may include: the matching degrees grade such as advanced, intermediate, rudimentary, according to matching degree etc.
The sequence of grade from high to low, weight W can be gradually decreased.
Table 3
| Matching degree | Weight W |
| It is advanced | 2 |
| Middle rank | 1 |
| It is rudimentary | 0.5 |
In another alternative embodiment of the invention, in addition to special according to current input environment feature and history input environment
Matching degree between sign determines except weight, can also determine weight according to other factors, other factors may include: candidate item
Word frequency of the screen time and/or candidate item under history input environment feature in history of corresponding entry, correspondingly, above-mentioned determining use
The process of the corresponding candidate item of the input string at family weight corresponding to the word frequency under history input environment feature, specifically can wrap
It includes: in history according to the corresponding entry of matching degree, candidate item between current input environment feature and history input environment feature
Shield the word frequency of time and/or candidate item under history input environment feature, determines that the corresponding candidate item of the input string of user is being gone through
Weight corresponding to word frequency under history input environment feature.
For candidate item corresponds to entry, the corresponding screen time in history may include: to shield the time in history recently,
Namely the time of the corresponding entry of user's last time input candidate item, the screen time can reflect candidate item pair in history recently for this
Significance level of the entry answered currently for user.In general, screen time gap is currently closer in history recently, then candidate item is corresponding
Entry it is higher currently for the significance level of user, conversely, screen time gap is currently remoter in history recently, then candidate item pair
The entry answered is lower currently for the significance level of user.
It is special in history input environment that word frequency of the candidate item under history input environment feature can correspond to entry for candidate item
Input number or upper screen number under sign.Word frequency of the candidate item under history input environment feature can reflect candidate item pair
Significance level of the entry answered for user.In general, word frequency of the candidate item under history input environment feature is higher, then candidate item
Corresponding entry is higher currently for the significance level of user, conversely, word frequency of the candidate item under history input environment feature is got over
Low, then the corresponding entry of candidate item is lower currently for the significance level of user.
It in practical applications, can be first against the matching between current input environment feature and history input environment feature
Degree, candidate item correspond to word frequency of the screen time and/or candidate item under history input environment feature in history of entry, determine and correspond to
Fraction weight, then multiple fractions are merged again, to obtain weight.Specifically, it can be directed to current input environment respectively
The time of screen in history of the corresponding entry of matching degree, candidate item between feature and history input environment feature and/or candidate item exist
Word frequency under history input environment feature obtains corresponding first fraction weight Wa, the second fraction weight Wb and/or third fraction weight Wc,
The first fraction weight Wa, the second fraction weight Wb and/or third fraction weight Wc can be then weighted and averaged, to obtain weight W.Its
In, in weighted mean procedure, the first fraction weight Wa, the second fraction weight Wb and/or the corresponding weight of third fraction weight Wc can be by
Those skilled in the art determine that the embodiment of the present invention is for the first fraction weight Wa, the second fraction weight Wb according to practical application request
And/or the corresponding specific weight of third fraction weight Wc is without restriction.
Embodiment in order to enable those skilled in the art to better understand the present invention, herein by specifically illustrating the present invention
The input method of embodiment, the example are related to, and the corresponding candidate item of input string " lyq " may include: " one-piece dress ", " tourist district "
" router " etc., wherein the input intention of user may include: the user under shopping environment under current input environment feature
Input be intended to are as follows: pass through input string " lyq " input " one-piece dress "；Under tourist environment, the input of user is intended to are as follows: by defeated
Enter string " lyq " input " tourist district "；Under search environment, the input of user is intended to are as follows: passes through input string " lyq " input " routing
The input method of device " etc., the embodiment of the present invention may include:
Step S1, word is carried out to the upper screen content under history input environment feature, to obtain entry, history input environment
Mapping relations between feature and word frequency, and it is saved in environment dictionary (first environment dictionary as the aforementioned)；
Specifically, the upper screen content K under input environment feature x, input environment feature y and input environment feature z is carried out
Learn word, available upper screen content K corresponding word frequency K.x, K.y and K.z.Wherein, input environment feature x, input environment feature y
Shopping environment, tourist environment and search environment can be respectively as follows: with input environment feature z, upper screen content K may include: " even clothing
Skirt ", " tourist district " and " router " etc..
Step S2, when user inputs under current input environment feature, the input string of foundation user is corresponding to work as
Matching degree between preceding input environment feature and history input environment feature determines that the corresponding candidate item of the input string of user is being gone through
Weight corresponding to word frequency under history input environment feature, and according to the weight, to the candidate item at least one history
Word frequency under input environment feature is weighted processing, to obtain the corresponding target word frequency of the candidate item；
Wherein, above-mentioned matching degree may include: similarity, degree of correlation etc., for example, if current input environment feature and environment
The input environment feature x recorded in dictionary is identical, it may be considered that matching degree between the two is 100%, therefore, can will wait
Option weight corresponding to the word frequency under input environment feature x is promoted.Similarly, environment dictionary can be obtained according to matching degree
Weight corresponding to word frequency under the history input environment features such as input environment feature y, the input environment feature z of middle record.It needs
It is noted that above-mentioned weight can be directly proportional to above-mentioned matching degree, that is, matching degree is higher, then weight is bigger, therefore, ring
For the history input environment feature identical with current input environment feature recorded in the dictionary of border, corresponding weight can be most
It is high.
Example is applied as a kind of, it is assumed that current input environment feature is shopping environment, the candidate recorded in environment dictionary
The word frequency of item " one-piece dress " under shopping environment, search environment and communication environment is respectively 5,3 and 2, then according to traditional processing
Logic, candidate item " one-piece dress " can be with are as follows: 5+3+2=10, and the embodiment of the present invention can according to current input environment feature with
The matching degree between history environment feature recorded in environment dictionary obtains candidate item " one-piece dress " in shopping environment, search ring
The corresponding weight of word frequency under border and communication environment: 2,1 and 0.5, and then available candidate item " one-piece dress " is corresponding
Target word frequency: (2*5)+(1*3)+(0.5*2)=14, due to 14 > 10, thus can by candidate item " one-piece dress " candidate item row
The input efficiency of user is improved in position in sequence result.
Example is applied as a kind of, it is assumed that current input environment feature is tourist environment, the candidate recorded in environment dictionary
The word frequency of item " tourist district " under tourist environment, search environment and communication environment is respectively 5,3 and 2, then according to traditional processing
Logic, candidate item " tourist district " can be with are as follows: 5+3+2=10, and the embodiment of the present invention can according to current input environment feature with
The matching degree between history environment feature recorded in environment dictionary obtains candidate item " tourist district " in tourist environment, search ring
The corresponding weight of word frequency under border and communication environment: 2,1 and 0.5, and then available candidate item " tourist district " is corresponding
Target word frequency: (2*5)+(1*3)+(0.5*2)=14, due to 14 > 10, thus can by candidate item " tourist district " candidate item row
The input efficiency of user is improved in position in sequence result.
To sum up, the input method of the embodiment of the present invention is carried out for word frequency of the candidate item under history input environment feature
Weighting processing, wherein being made in above-mentioned weighting treatment process for word frequency of the candidate item under certain history input environment feature
Weight can reflect the significance level of word frequency of the candidate item under certain history input environment feature, due to can be according to working as
Matching degree between preceding input environment feature and history input environment feature obtains above-mentioned weight, therefore can pass through above-mentioned weight
Size reflects that candidate item input corresponding to the word frequency and current input environment feature under certain history input environment feature is anticipated
Matching degree or the degree of approach between figure, in this way, the weighting processing of the embodiment of the present invention can increase closer to current input ring
Word frequency under the history input environment feature that input is intended to corresponding to the feature of border, therefore, the target handled according to weighting
Word frequency is ranked up candidate item, the ranking results of candidate item can be made to be more in line with defeated corresponding to current input environment feature
Enter to be intended to, and then the input efficiency of user can be improved.
It should be noted that for simple description, therefore, it is stated as a series of movement is dynamic for embodiment of the method
It combines, but those skilled in the art should understand that, the embodiment of the present invention is not by the limit of described athletic performance sequence
System, because according to an embodiment of the present invention, some steps may be performed in other sequences or simultaneously.Secondly, art technology
Personnel also should be aware of, and the embodiments described in the specification are all preferred embodiments, and related athletic performance is simultaneously different
It surely is necessary to the embodiment of the present invention.
Installation practice
Referring to Fig. 3, a kind of structural block diagram of input unit embodiment of the invention is shown, can specifically include:
Weight determination module 301, for the corresponding current input environment feature of input string and history input according to user
Matching degree between environmental characteristic determines word frequency institute of the corresponding candidate item of the input string of user under history input environment feature
Corresponding weight；Wherein, word frequency of the candidate item under history input environment feature can be for according to the input of the history of user
Behavioral data obtains, and the history input behavior data may include: upper screen content and its corresponding history input environment feature；
Processing module 302 is weighted, is used for according to the weight, it is special at least one history input environment to the candidate item
Word frequency under sign is weighted processing, to obtain the corresponding target word frequency of the candidate item；And
Sort display module 303, for being ranked up to the candidate item according to the corresponding target word frequency of the candidate item
And show.
Optionally, the matching degree between the current input environment feature and history input environment feature may include: to work as
The degree of correlation between preceding input environment feature and history input environment feature.
Optionally, the degree of correlation between the current input environment feature and history input environment feature is according to user point
History input behavior data not under the current input environment feature and the history input environment feature obtain.
Optionally, the degree of correlation between the current input environment feature and history input environment feature is according in upper screen
The co-occurrence frequency held under the current input environment feature and history input environment feature obtains.
Optionally, the weight determination module 301 may include:
Weight determines submodule, for according to the matching between current input environment feature and history input environment feature
Degree, candidate item correspond to word frequency of the screen time and/or candidate item under history input environment feature in history of entry, determine user
The corresponding candidate item of input string weight corresponding to the word frequency under history input environment feature.
Optionally, the current input environment feature and/or history input environment feature may include: that time environment is special
At least one of sign, location circumstances feature, climatic environment simulation, application environment feature and page context feature.
Optionally, described device can also include:
Collection module, for collecting the history input behavior data of user；The history input behavior data may include:
Upper screen content and its corresponding history input environment feature；
Preserving module is established in mapping, for establishing and saving entry, history input according to the history input behavior data
Mapping relations between environmental characteristic and word frequency.
For device embodiment, since it is basically similar to the method embodiment, related so being described relatively simple
Place illustrates referring to the part of embodiment of the method.
All the embodiments in this specification are described in a progressive manner, the highlights of each of the examples are with
The difference of other embodiments, the same or similar parts between the embodiments can be referred to each other.
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.
The embodiment of the invention also provides a kind of devices for input, include memory and one or one
Above program, one of them perhaps more than one program be stored in memory and be configured to by one or one with
It includes the instruction for performing the following operation that upper processor, which executes the one or more programs: the input according to user
The matching degree gone here and there between corresponding current input environment feature and history input environment feature determines that the input string of user is corresponding
Candidate item weight corresponding to the word frequency under history input environment feature；Wherein, the candidate item is special in history input environment
Word frequency under sign is that the history input behavior data of foundation user obtain, and the history input behavior data include: upper screen content
And its corresponding history input environment feature；It is special at least one history input environment to the candidate item according to the weight
Word frequency under sign is weighted processing, to obtain the corresponding target word frequency of the candidate item；According to the corresponding mesh of the candidate item
Word frequency is marked, the candidate item is ranked up and is showed.
Optionally, the matching degree between the current input environment feature and history input environment feature includes: current defeated
Enter the degree of correlation between environmental characteristic and history input environment feature.
Optionally, the degree of correlation between the current input environment feature and history input environment feature is according to user point
History input behavior data not under the current input environment feature and the history input environment feature obtain.
Optionally, the degree of correlation between the current input environment feature and history input environment feature is according in upper screen
The co-occurrence frequency held under the current input environment feature and history input environment feature obtains.
Optionally, word frequency institute of the corresponding candidate item of input string of the determining user under history input environment feature is right
The weight answered, comprising:
It is gone through according to the matching degree between current input environment feature and history input environment feature, the corresponding entry of candidate item
The word frequency of Shi Shangping time and/or candidate item under history input environment feature, determines the corresponding candidate item of the input string of user
The weight corresponding to the word frequency under history input environment feature.
Optionally, the current input environment feature and/or history input environment feature include: time environmental characteristic, position
Set at least one of environmental characteristic, climatic environment simulation, application environment feature and page context feature.
Optionally, described device is also configured to execute one or one by one or more than one processor
Procedure above includes the instruction for performing the following operation:
Collect the history input behavior data of user；The history input behavior data include: upper screen content and its correspondence
History input environment feature；
According to the history input behavior data, establishes and save between entry, history input environment feature and word frequency
Mapping relations.
Fig. 4 be a kind of device 800 for input shown according to an exemplary embodiment as terminal when structural frames
Figure.For example, device 800 can be mobile phone, computer, digital broadcasting terminal, messaging device, game console put down
Panel device, Medical Devices, body-building equipment, personal digital assistant etc..
Referring to Fig. 4, device 800 may include following one or more components: processing component 802, memory 804, power supply
Component 806, multimedia component 808, audio component 810, the interface 812 of input/output (I/O), sensor module 814, and
Communication component 816.
The integrated operation of the usual control device 800 of processing component 802, such as with display, telephone call, data communication, phase
Machine operation and record operate associated operation.Processing element 802 may include that one or more processors 820 refer to execute
It enables, to perform all or part of the steps of the methods described above.In addition, processing component 802 may include one or more modules, just
Interaction between processing component 802 and other assemblies.For example, processing component 802 may include multi-media module, it is more to facilitate
Interaction between media 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 device 800, contact data, and telephone book data disappears
Breath, picture, video etc..Memory 804 can be by any kind of volatibility or non-volatile memory device or their group
It closes and realizes, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM) is erasable to compile
Journey read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash
Device, disk or CD.
Power supply module 806 provides electric power for the various assemblies of device 800.Power supply module 806 may include power management system
System, one or more power supplys and other with for device 800 generate, manage, and distribute the associated component of electric power.
Multimedia component 808 includes the screen of one output interface of offer between described device 800 and user.One
In a little embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touch sensings
Device is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or sliding action
Boundary, but also detect duration and pressure associated with the touch or slide operation.In some embodiments, more matchmakers
Body component 808 includes a front camera and/or rear camera.When equipment 800 is in operation mode, such as screening-mode or
When video mode, front camera and/or rear camera can receive external multi-medium data.Each front camera and
Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 810 is configured as output and/or input audio signal.For example, audio component 810 includes a Mike
Wind (MIC), when device 800 is in operation mode, when such as call mode, recording mode, and voice recognition mode, microphone is matched
It is set to reception external audio signal.The received audio signal can be further stored in memory 804 or via communication set
Part 816 is sent.In some embodiments, audio component 810 further includes a loudspeaker, is used for output 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, and the state for providing various aspects for device 800 is commented
Estimate.For example, sensor module 814 can detecte the state that opens/closes of equipment 800, and the relative positioning of component, for example, it is described
Component is the display and keypad of device 800, and sensor module 814 can be with 800 1 components of detection device 800 or device
Position change, the existence or non-existence that user contacts with device 800,800 orientation of device or acceleration/deceleration and device 800
Temperature change.Sensor module 814 may include proximity sensor, be configured to detect without any physical contact
Presence of nearby objects.Sensor module 814 can also include optical sensor, such as CMOS or ccd image sensor, at
As being used in application.In some embodiments, which can also include acceleration transducer, gyro sensors
Device, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 816 is configured to facilitate the communication of wired or wireless way between device 800 and other equipment.Device
800 can access the wireless network based on communication standard, such as WiFi, 2G or 3G or their combination.In an exemplary implementation
In example, communication component 816 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 816 further includes near-field communication (NFC) module, to promote short range communication.Example
Such as, NFC module can be based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology,
Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 800 can be believed by one or more application specific integrated circuit (ASIC), number
Number 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 device 800 to complete the above method.For example,
The non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk
With optical data storage devices etc..
Fig. 5 is the structural schematic diagram of server in some embodiments of the present invention.The server 1900 can be because of configuration or property
Energy is different and generates 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 applications
The storage medium 1930 (such as one or more mass memory units) of program 1942 or data 1944.Wherein, memory
1932 and storage medium 1930 can be of short duration storage or persistent storage.The program for being stored in storage medium 1930 may include one
A or more than one module (diagram does not mark), each module may include to the series of instructions operation in server.More into
One step, central processing unit 1922 can be set to communicate with storage medium 1930, execute storage medium on server 1900
Series of instructions operation in 1930.
Server 1900 can also include one or more power supplys 1926, one or more wired or wireless nets
Network interface 1950, one or more input/output interfaces 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..
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium by device (terminal or
Server) processor when executing, enable a device to execute a kind of input method, which comprises defeated according to user
Enter the matching degree gone here and there between corresponding current input environment feature and history input environment feature, determines that the input string of user is corresponding
Candidate item weight corresponding to the word frequency under history input environment feature；Wherein, the candidate item is in history input environment
Word frequency under feature is that the history input behavior data of foundation user obtain, and the history input behavior data include: in upper screen
Appearance and its corresponding history input environment feature；According to the weight, to the candidate item at least one history input environment
Word frequency under feature is weighted processing, to obtain the corresponding target word frequency of the candidate item；It is corresponding according to the candidate item
Target word frequency is ranked up and shows to the candidate item.
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.The present invention is directed 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.
Above to a kind of input method provided by the present invention, a kind of input unit and a kind of device for input, with
And a kind of machine readable media, it is described in detail, specific case used herein is to the principle of the present invention and embodiment party
Formula is expounded, and the above description of the embodiment is only used to help understand the method for the present invention and its core ideas；Meanwhile it is right
In those of ordinary skill in the art, according to the thought of the present invention, change is had in specific embodiments and applications
Place, in conclusion the contents of this specification are not to be construed as limiting the invention.
Claims (10)
1. a kind of input method, which is characterized in that the described method includes:
According to the matching degree between the corresponding current input environment feature of input string and history input environment feature of user, determine
The corresponding candidate item of the input string of user weight corresponding to the word frequency under history input environment feature；Wherein, the candidate
Word frequency of the item under history input environment feature is that the history input behavior data of foundation user obtain, the history input behavior
Data include: upper screen content and its corresponding history input environment feature；
According to the weight, processing is weighted to word frequency of the candidate item under at least one history input environment feature,
To obtain the corresponding target word frequency of the candidate item；
According to the corresponding target word frequency of the candidate item, the candidate item is ranked up.
2. the method according to claim 1, wherein the current input environment feature and history input environment are special
Matching degree between sign includes: the degree of correlation between current input environment feature and history input environment feature.
3. according to the method described in claim 2, it is characterized in that, the current input environment feature and history input environment are special
The degree of correlation between sign be according to user respectively under the current input environment feature and the history input environment feature
History input behavior data obtain.
4. according to the method described in claim 2, it is characterized in that, the current input environment feature and history input environment are special
The degree of correlation between sign is the co-occurrence according to upper screen content under the current input environment feature and history input environment feature
Frequency obtains.
5. the method according to claim 1, wherein the corresponding candidate item of input string of the determining user is being gone through
Weight corresponding to word frequency under history input environment feature, comprising:
In history according to the corresponding entry of matching degree, candidate item between current input environment feature and history input environment feature
Shield the word frequency of time and/or candidate item under history input environment feature, determines that the corresponding candidate item of the input string of user is being gone through
Weight corresponding to word frequency under history input environment feature.
6. according to claim 1 to the method any in 5, which is characterized in that the current input environment feature and/or go through
History input environment feature include: time environmental characteristic, location circumstances feature, climatic environment simulation, application environment feature and
At least one of page context feature.
7. according to claim 1 to any method in 5, which is characterized in that the method also includes:
Collect the history input behavior data of user；The history input behavior data include: upper screen content and its corresponding go through
History input environment feature；
According to the history input behavior data, the mapping between entry, history input environment feature and word frequency is established and saved
Relationship.
8. a kind of input unit, which is characterized in that described device includes:
Weight determination module, for the corresponding current input environment feature of input string and history input environment feature according to user
Between matching degree, determine the corresponding candidate item of the input string of user power corresponding to the word frequency under history input environment feature
Weight；Wherein, word frequency of the candidate item under history input environment feature is that the history input behavior data of foundation user obtain,
The history input behavior data include: upper screen content and its corresponding history input environment feature；
Processing module is weighted, is used for according to the weight, to the candidate item under at least one history input environment feature
Word frequency is weighted processing, to obtain the corresponding target word frequency of the candidate item；And
Sort display module, for according to the corresponding target word frequency of the candidate item, the candidate item being ranked up and being showed.
9. a kind of device for input, which is characterized in that it include 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:
According to the matching degree between the corresponding current input environment feature of input string and history input environment feature of user, determine
The corresponding candidate item of the input string of user weight corresponding to the word frequency under history input environment feature；Wherein, the candidate
Word frequency of the item under history input environment feature is that the history input behavior data of foundation user obtain, the history input behavior
Data include: upper screen content and its corresponding history input environment feature；
According to the weight, processing is weighted to word frequency of the candidate item under at least one history input environment feature,
To obtain the corresponding target word frequency of the candidate item；
According to the corresponding target word frequency of the candidate item, the candidate item is ranked up and is showed.
10. one or more machine readable medias, are stored thereon with instruction, when executed by one or more processors, so that
Device executes the input method as described in one or more in claim 1 to 7.
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| CN110989847A (en) * | 2019-11-22 | 2020-04-10 | 维沃移动通信有限公司 | Information recommendation method and device, terminal equipment and storage medium |
| CN110989847B (en) * | 2019-11-22 | 2024-03-29 | 维沃移动通信有限公司 | Information recommendation method, device, terminal equipment and storage medium |
| CN111984131A (en) * | 2020-07-07 | 2020-11-24 | 北京语言大学 | Method and system for inputting information based on dynamic weight |
| CN111984131B (en) * | 2020-07-07 | 2021-05-14 | 北京语言大学 | Method and system for inputting information based on dynamic weight |
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