CN104850238B - The method and apparatus being ranked up to candidate item caused by input method - Google Patents

The method and apparatus being ranked up to candidate item caused by input method Download PDF

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CN104850238B
CN104850238B CN201510185367.XA CN201510185367A CN104850238B CN 104850238 B CN104850238 B CN 104850238B CN 201510185367 A CN201510185367 A CN 201510185367A CN 104850238 B CN104850238 B CN 104850238B
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candidate item
place
proportion
geographic position
current geographic
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CN104850238A (en
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高毅
葛云源
王振淦
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Xiaomi Inc
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Xiaomi Inc
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Abstract

The disclosure is directed to a kind of method and apparatus being ranked up to candidate item caused by input method, belong to input method applied technical field.Methods described includes:Obtain user and input information;Search to obtain in dictionary and input n entry of information match as n candidate item, n >=2 with the user;The n candidate item is ranked up according to current geographic position;The n candidate item is shown according to ranking results.The disclosure with reference to current geographic position to multiple candidate items of acquisition by being ranked up;Solve correlation technique to be ranked up multiple candidate items of acquisition according only to default sort proportion, existing sequence in some cases is not reasonable, the problem of influenceing user's input speed;Reach more accurate, reasonably candidate item has been ranked up, improved the effect of user's input speed.

Description

The method and apparatus being ranked up to candidate item caused by input method
Technical field
This disclosure relates to input method applied technical field, more particularly to a kind of that candidate item caused by input method is arranged The method and apparatus of sequence.
Background technology
Input method software (hereinafter referred to as input method) is one of indispensable application of electronic equipment.User is using input method During, the ordering for multiple candidate items that input method provides a user has influence on the input efficiency of user.
Multiple entries are included in the dictionary of input method, each entry is correspondingly arranged on default sort proportion.The default sort Proportion can take into consideration the uncommon degree of entry, the overall use habit of a large number of users and user personal use custom etc. because Element is determined.Input method searches acquisition in dictionary and inputs information match with user after obtaining user and inputting information Multiple entries are supplied to user to be selected as candidate item, so that user therefrom chooses actually required input content.Input Method before above-mentioned multiple candidate items are shown, can according to the plurality of candidate item respectively corresponding to default sort proportion to the plurality of time Option is ranked up, such as the plurality of candidate item is ranked up by the order of default sort proportion from big to small, then again according to The plurality of candidate item is shown according to ranking results.
The content of the invention
The embodiment of the present disclosure provides a kind of method and apparatus being ranked up to candidate item caused by input method.It is described Technical scheme is as follows:
According to the first aspect of the embodiment of the present disclosure, there is provided a kind of that candidate item caused by input method is ranked up Method, methods described include:
Obtain user and input information;
Search to obtain in dictionary and input n entry of information match as n candidate item, n >=2 with the user;
Obtain the target place in all side regions of current geographic position;
Determine the geographic scenes classification belonging to the target place;
Classified according to the geographic scenes, scene system corresponding to the n candidate item difference is inquired about from scene indices storehouse Number;Wherein, pair between geographic scenes classification, the candidate item and the scene indices is included in the scene indices storehouse It should be related to;
The n candidate item corresponding sequence proportion respectively is calculated, is comprised at least in the calculating parameter of the sequence proportion The scene indices;
The n candidate item is ranked up by the order of the sequence proportion from big to small;
The n candidate item is shown according to ranking results.
Alternatively, the target place in all side regions for obtaining the current geographic position, including:
When all side region internal memories of the current geographic position are at least two places, from least two place It is the target place to choose a place nearest with the current geographic position;
Or
When all side region internal memories of the current geographic position are at least two places, at least two place is obtained Corresponding priority orders;A field of highest priority is chosen from least two place according to the priority orders Carried out by the target place;Wherein, the priority orders be according to corresponding to each place individual subscriber history access times, In user's overall access number, the volume of the flow of passengers, popularity at least one of determine.
Alternatively, selecting frequency is also included in the calculating parameter of the sequence proportion, methods described also includes:
Obtain selecting frequency corresponding to the n candidate item difference;
Wherein, selecting frequency F corresponding to i-th of candidate itemi=ti/Ti, TiFor entry corresponding to i-th of candidate item The history total degree of candidate item, t are chosen as in the target area corresponding to the current geographic positioniFor described i-th time Entry corresponding to option is being chosen as the T of candidate itemiThe total degree of input content, i ∈ [1, n] are finally chosen as in secondary.
Alternatively, sequence proportion corresponding to the calculating n candidate item difference, including:
The n candidate item corresponding sequence proportion respectively is calculated according to the following equation:
Pi=Si×DC×SW+Fi×FW+Di×DW;
Wherein, PiFor the proportion that sorted corresponding to i-th of candidate item;SiFor scene system corresponding to i-th of candidate item Number;DC is distance coefficient, and the distance coefficient and the distance between the current geographic position and the target place are in negative Pass relation;FiFor selecting frequency corresponding to i-th of candidate item;DiFor default sort ratio corresponding to i-th of candidate item Weight;SW, FW and DW are respectively default weight.
According to the second aspect of the embodiment of the present disclosure, there is provided a kind of that candidate item caused by input method is ranked up Device, described device include:
Data obtaining module, it is configured as obtaining user's input information;
Candidate item acquisition module, it is configured as searching n obtained with user input information match in dictionary Entry is as n candidate item, n >=2;
Candidate item order module includes:Place acquisition submodule, classification determination sub-module, coefficient inquiry submodule, proportion Calculating sub module and candidate item sorting sub-module;
The place acquisition submodule, it is configured as obtaining the target place in all side regions of current geographic position;
The classification determination sub-module, it is configured to determine that the geographic scenes classification belonging to the target place;
The coefficient inquires about submodule, is configured as being classified according to the geographic scenes, institute is inquired about from scene indices storehouse State scene indices corresponding to n candidate item difference;Wherein, classify in the scene indices storehouse comprising the geographic scenes, be described Corresponding relation between candidate item and the scene indices;
The proportion calculating sub module, it is configured as calculating the n candidate item corresponding sequence proportion respectively, the row The scene indices are comprised at least in the calculating parameter of sequence proportion;
The candidate item sorting sub-module, it is configured as waiting described n by the order of the sequence proportion from big to small Option is ranked up;
Candidate item display module, it is configured as being shown the n candidate item according to ranking results.
Alternatively, the place acquisition submodule, including:
First chooses submodule, is configured as all side region internal memories in the current geographic position at least two places When, it is the target place to choose a place nearest with the current geographic position from least two place;
Or
Second chooses submodule, is configured as all side region internal memories in the current geographic position at least two places When, priority orders corresponding at least two place are obtained, according to the priority orders from least two place A middle place for choosing highest priority is the target place;Wherein, the priority orders are according to each place pair In the individual subscriber history access times answered, user's overall access number, the volume of the flow of passengers, popularity at least one of determine.
Alternatively, also include selecting frequency in the calculating parameter of the sequence proportion, the candidate item order module, also wrap Include:Frequency acquisition submodule;
The frequency acquisition submodule, it is configured as obtaining selecting frequency corresponding to the n candidate item difference;
Wherein, selecting frequency F corresponding to i-th of candidate itemi=ti/Ti, TiFor entry corresponding to i-th of candidate item The history total degree of candidate item, t are chosen as in the target area corresponding to the current geographic positioniFor described i-th time Entry corresponding to option is being chosen as the T of candidate itemiThe total degree of input content, i ∈ [1, n] are finally chosen as in secondary.
Alternatively, the proportion calculating sub module, it is additionally configured to calculate the n candidate item difference according to the following equation Corresponding sequence proportion:
Pi=Si×DC×SW+Fi×FW+Di×DW;
Wherein, PiFor the proportion that sorted corresponding to i-th of candidate item;SiFor scene system corresponding to i-th of candidate item Number;DC is distance coefficient, and the distance coefficient and the distance between the current geographic position and the target place are in negative Pass relation;FiFor selecting frequency corresponding to i-th of candidate item;DiFor default sort ratio corresponding to i-th of candidate item Weight;SW, FW and DW are respectively default weight.
According to the third aspect of the embodiment of the present disclosure, there is provided a kind of that candidate item caused by input method is ranked up Device, described device include:
Processor;
For the memory for the executable instruction for storing the processor;
Wherein, the processor is configured as:
Obtain user and input information;
Search to obtain in dictionary and input n entry of information match as n candidate item, n >=2 with the user;
Obtain the target place in all side regions of current geographic position;
Determine the geographic scenes classification belonging to the target place;
Classified according to the geographic scenes, scene system corresponding to the n candidate item difference is inquired about from scene indices storehouse Number;Wherein, pair between geographic scenes classification, the candidate item and the scene indices is included in the scene indices storehouse It should be related to;
The n candidate item corresponding sequence proportion respectively is calculated, is comprised at least in the calculating parameter of the sequence proportion The scene indices;
The n candidate item is ranked up by the order of the sequence proportion from big to small;
The n candidate item is shown according to ranking results.
The technical scheme that the embodiment of the present disclosure provides can include the following benefits:
By being ranked up with reference to current geographic position to multiple candidate items of acquisition;Correlation technique is solved according only to silent Recognize sequence proportion to be ranked up multiple candidate items of acquisition, existing sequence in some cases is not reasonable, influences to use The problem of family input speed;Reach more accurate, reasonably candidate item has been ranked up, improved the effect of user's input speed Fruit.
It should be appreciated that the general description and following detailed description of the above are only exemplary and explanatory, not The disclosure can be limited.
Brief description of the drawings
Accompanying drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the disclosure Example, and be used to together with specification to explain the principle of the disclosure.
Fig. 1 is a kind of method being ranked up to candidate item caused by input method according to an exemplary embodiment Flow chart;
Fig. 2 is a kind of side being ranked up to candidate item caused by input method according to another exemplary embodiment The flow chart of method;
Fig. 3 is a kind of side being ranked up to candidate item caused by input method according to another exemplary embodiment The flow chart of method;
Fig. 4 is a kind of device being ranked up to candidate item caused by input method according to an exemplary embodiment Block diagram;
Fig. 5 is a kind of dress being ranked up to candidate item caused by input method according to another exemplary embodiment The block diagram put;
Fig. 6 is a kind of block diagram of device according to an exemplary embodiment.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended The example of the consistent apparatus and method of some aspects be described in detail in claims, the disclosure.
Fig. 1 is a kind of method being ranked up to candidate item caused by input method according to an exemplary embodiment Flow chart.This method can be applied in such as terminal of mobile phone, tablet personal computer, multimedia player etc.This method can be with Including the following steps:
In a step 102, obtain user and input information.
At step 104, search to obtain in dictionary and input n entry of information match as n candidate with user , n >=2.
In step 106, n candidate item is ranked up according to current geographic position.
In step 108, n candidate item is shown according to ranking results.
In summary, the method that the present embodiment provides, by entering with reference to current geographic position to multiple candidate items of acquisition Row sequence;Solve correlation technique to be ranked up multiple candidate items of acquisition according only to default sort proportion, it is existing Sorted under some occasions not reasonable, the problem of influenceing user's input speed;Reach more accurate, reasonably candidate item has been entered Row sequence, improve the effect of user's input speed.
Fig. 2 is a kind of side being ranked up to candidate item caused by input method according to another exemplary embodiment The flow chart of method.This method can be applied in such as terminal of mobile phone, tablet personal computer, multimedia player etc.In this implementation In example, in this way applied to being illustrated in the input method of terminal operating.This method can include the following steps.
In step 201, obtain user and input information.
User can input user by human-computer interaction devices such as keyboard, mouse, felt pen, remote control, voice-operated devices Input information.So that terminal is mobile phone as an example, mobile phone can provide a user physical keyboard or dummy keyboard, and user passes through entity key Disk or dummy keyboard input user input information.For example, the dummy keyboard that user is provided by mobile phone inputs " gongyuan " This user inputs information.Correspondingly, input method obtains user and inputs information.
In addition, in the present embodiment, the type of input method is not construed as limiting.For example, the input method can be input in Chinese Method or English input method, it can also be the input method of other Languages type.Wherein, Chinese character coding input method includes but unlimited In spelling, simplicity, stroke, five etc..
In step 202, search to obtain in dictionary and input n entry of information match as n candidate with user , n >=2.
Wherein, the network lexicon that dictionary can be the local dictionary of terminal or input method obtains from server Or cloud dictionary.Multiple entries are included in dictionary.Each entry can be any one in the forms such as word, character, figure Or the combination of diversified forms.Input method is searched in dictionary and obtained and user's input information phase according to the matching algorithm of correlation The multiple entries matched somebody with somebody are chosen as candidate item for user.For example, when it is " gongyuan " that user, which inputs information, it is matching N entry can include " park ", " Christian era ", " work institute ", " tribute institute " etc..
Unlike correlation technique:In the present embodiment, current geographic position of the input method according to residing for user is to obtaining The n candidate item taken is ranked up.The sequencer procedure may include following steps 203 to step 207.
In step 203, the target place in all side regions of current geographic position is obtained.
Input method obtains current geographic position by location technology first.For example, input method can be by means of the GPS of terminal (Global Positioning System, global positioning system) function or Wi-Fi (WirelessFidelity, wireless guarantor Very) the function geographical position current to terminal positions.Afterwards, input method is obtained in all side regions of current geographic position Target place.Wherein, target place is typically representative public place or privately owned place, such as park, museum, silver Row, market, school, house, restaurant, recreation ground etc..
When all side region internal memories of current geographic position are in a place, the place is directly defined as target place.
When all side region internal memories of current geographic position are at least two places, the possible implementation of the following two kinds can be passed through Mode therefrom chooses target place:
In a kind of possible embodiment, one nearest with current geographic position is chosen from least two place Place is target place.For example, current geographic position all side region internal memories in 3 XX parks, XX museums, XX banks fields During institute, it is target place therefrom to choose a place nearest with current geographic position according to the geographical position in 3 places.It is false If the distance between XX parks and current geographic position are 20 meters, the distance between XX museums and current geographic position are 50 Rice, the distance between XX banks and current geographic position are 100 meters, then it is target place to choose XX parks.
In alternatively possible embodiment, priority orders corresponding at least two place are obtained, and according to this The place that priority orders choose highest priority from least two place is target place.Wherein, priority is suitable Sequence is in individual subscriber history access times, user's overall access number, the volume of the flow of passengers, popularity according to corresponding to each place What at least one was determined.For example, current geographic position all side region internal memories in 3 XX parks, XX museums, XX banks fields During institute, the place that highest priority is therefrom chosen according to the priority orders in 3 places is target place.Assuming that this 3 The priority orders that individual place obtains after being ranked up from more to less by individual subscriber history access times are followed successively by:XX natural sciences Shop, XX parks and XX banks, then it is target place to choose XX museums.
The target place in all side regions of current geographic position is obtained using aforesaid way, the target place of the acquisition is The place being presently in for user or the user place that there is a strong possibility to access.
In addition, all side regions of current geographic position can refer to centered on current geographic position, and with fixed shape The geographic area of shape and size.For example, using current geographic position as the center of circle, the circular geographic area that radius is 100m is current position Manage all side regions of position.Or all side regions of current geographic position may also mean that comprising current geographic position, but shape The indefinite geographic area with size.For example, current geographic is used as using the garden comprising current geographic position, road or administrative region All side regions of position.
In step 204, the geographic scenes classification belonging to target place is determined.
Wherein, geographic scenes classification refers to that the function type according to place divides obtained different scenes classification.In this reality Apply in example, preset different geographic scenes classification.For example, preset park, museum, bank, market, school, live Multiple different geographic scenes classification such as residence, restaurant, recreation ground.Input method is in all side regions for obtaining current geographic position After target place, the geographic scenes classification belonging to the target place is determined.For example, when target place is XX parks, it is determined that Geographic scenes belonging to the target place are categorized as park;For another example when target place is XX museums, the target field is determined Belonging to geographic scenes be categorized as museum.
In step 205, according to geographical scene classification, field corresponding to n candidate item difference is inquired about from scene indices storehouse Scape coefficient.
Wherein, corresponding pass geographic scenes classification, candidate item (entry) between scene indices is included in scene indices storehouse System.In the present embodiment, the different scene system of different geographic scenes classification settings is corresponded in advance for each entry in dictionary Number.Scene indices reflect the correlation degree between entry and geographic scenes classification.Scene indices are bigger, show entry and geography Correlation degree between scene classification is higher;Conversely, scene indices are smaller, show associating between entry and geographic scenes classification Degree is lower.Alternatively, the span of scene indices can be between section [0,1].
For example, the corresponding relation as shown in following table -1 can be included in scene indices storehouse:
Park Museum School Bank Recreation ground
Park 1 0.2 0.5 0 0.5
Christian era 0 1 0.2 0 0
Work institute 0.1 0 1 0 0
Tribute institute 0.2 0.5 0 0 0
Table -1
From table -1 as can be seen that because the correlation degree between entry " park " and geographic scenes classification " park " is very high, Therefore set entry " park " relative to geographic scenes classify " park " scene indices be 1;Due to entry " park " and geography Correlation degree between scene classification " recreation ground " is moderate, therefore sets entry " park " to classify in " park " relative to geographic scenes Scene indices be 0.5;Because the correlation degree between entry " park " and geographic scenes classification " bank " is very low, therefore set Entry " park " relative to geographic scenes classify " bank " scene indices be 0;The like.
In one example, it is assumed that user has adjusted input method to input " gongyuan " in XX parks, and input method is from dictionary Search the matching entry " park " of acquisition, " Christian era ", " work institute " and " tribute institute " and be used as candidate item.Input method is according to user's Current geographic position determines that XX parks are target place, and determines that the geographic scenes belonging to the target place are categorized as in " park ". Therefore, input method inquires about the scene system that each candidate item corresponds respectively to geographic scenes classification " park " from scene indices storehouse Number.For example, the corresponding relation according to table -1, inquiry obtains scene indices corresponding to candidate item " park " as 1, candidate item Scene indices corresponding to " Christian era " be 0, candidate item " work institute " corresponding to scene indices be 0.1 and candidate item " tribute institute " corresponding to Scene indices are 0.2.
For another example assume that user has adjusted input method equally to input " gongyuan " in XX museums, due to now target field Carried out by XX museums, the geographic scenes belonging to the target place are categorized as in " museum ", therefore input method is from scene indices storehouse Inquire about the scene indices that each candidate item corresponds respectively to geographic scenes classification " museum ".For example, input method is according to the institute of table -1 The corresponding relation shown, inquiry obtain scene indices corresponding to candidate item " park " as scene system corresponding to 0.2, candidate item " Christian era " Number be 1, candidate item " work institute " corresponding to scene indices be 0 and candidate item " tribute institute " corresponding to scene indices be 0.5.
It should be noted is that:Above-mentioned table -1 is only the corresponding relation for exemplarily illustrating to include in scene indices storehouse, In actual applications, different geographic scenes classification can be set according to the actual requirements, and corresponds to different ground for different entries Manage scene classification and different scene indices are set, this present embodiment is not construed as limiting.
Also need to explanation be a bit:In the present embodiment, only held with above-mentioned steps 203 to step 205 in terminal local Row is illustrated.In other possible embodiments, input method also can by with server interaction, performed by server Above-mentioned steps 203 are to all or part of step in step 205.For example, after input method obtains the current geographic position of terminal, will Current geographic position is sent to server;Correspondingly, server obtains target place according to the current geographic position and determines to be somebody's turn to do Geographic scenes corresponding to target place are classified, and geographic scenes classification is supplied into input method;Input method is according to the geographical field Scape is classified, and scene indices corresponding to n candidate item difference are inquired about from scene indices storehouse.
In step 206, sort proportion corresponding to n candidate item difference of calculating, in the calculating parameter of the sequence proportion extremely Include scene indices less.
After input method obtains scene indices corresponding to n candidate item difference, n candidate item point is calculated according to the scene indices Not corresponding sequence proportion.Wherein, sort proportion and scene indices correlation.That is, scene indices are bigger, sort ratio Weight is also bigger;Conversely, scene indices are smaller, sequence proportion is also smaller.
In step 207, n candidate item is ranked up by the order of sequence proportion from big to small.
After sequence proportion corresponding to each candidate item difference is calculated in input method, by the order of sequence proportion from big to small Each candidate item is ranked up.
Still illustrated with above example, when user has adjusted input method to input " gongyuan " in XX parks, each candidate The sequence sequencing of item is followed successively by:" park ", " tribute institute ", " work institute " and " Christian era ";And when user adjusted in XX museums it is defeated When entering method and equally inputting " gongyuan ", the sequence sequencing of each candidate item is followed successively by:" Christian era ", " tribute institute ", " park " and " work institute ".
In a step 208, n candidate item is shown according to ranking results.
Input method is shown n candidate item according to ranking results.Alternatively, when candidate item quantity is more, input Candidate item can be carried out branch and/or Pagination Display by method.
Require supplementation with explanation is a bit:In the present embodiment, the opportunity and frequency that obtain current geographic position are not made Limit.For example, input method can obtain a current geographic position when getting user each time and inputting information.Or with In the case that family relatively frequently uses input method, input method can also be spaced (such as 5 minutes) at predetermined time intervals and obtain once Current geographic position, so as to reduce the processing expense of terminal.
In summary, the method that the present embodiment provides, by entering with reference to current geographic position to multiple candidate items of acquisition Row sequence;Solve correlation technique to be ranked up multiple candidate items of acquisition according only to default sort proportion, it is existing Sorted under some occasions not reasonable, the problem of influenceing user's input speed;Reach more accurate, reasonably candidate item has been entered Row sequence, improve the effect of user's input speed.
In addition, also passed through by corresponding to the different scene indices of different geographic scenes classification settings for different entries The correlation degree that scene indices reflect between entry and geographic scenes classification so as to same below different geographic scenes During the sequencing problem of several candidate items, several candidate items can be shown with different sequence sequencings, it is ensured that The higher candidate item of the geographic scenes correlation degree that is presently in user preferentially shows, improves user when selecting candidate item Efficiency and usage experience.
Fig. 3 is a kind of side being ranked up to candidate item caused by input method according to another exemplary embodiment The flow chart of method.This method can be applied in such as terminal of mobile phone, tablet personal computer, multimedia player etc.In this implementation In example, in this way applied to being illustrated in the input method of terminal operating.This method can include the following steps.
In step 301, obtain user and input information.
In step 302, search to obtain in dictionary and input n entry of information match as n candidate with user , n >=2.
In step 303, the target place in all side regions of current geographic position is obtained.
In step 304, the geographic scenes classification belonging to target place is determined.
In step 305, according to geographical scene classification, field corresponding to n candidate item difference is inquired about from scene indices storehouse Scape coefficient.
Wherein, the corresponding relation between geographic scenes classification, candidate item and scene indices is included in scene indices storehouse.
Above-mentioned steps 301 are identical to step 205 with the step 201 in embodiment illustrated in fig. 2 to step 305, referring to Fig. 2 institutes Show the introduction in embodiment and explanation, the present embodiment repeats no more to this.
Unlike embodiment illustrated in fig. 2:In the present embodiment, being removed in the calculating parameter of proportion that sorts includes scene system Outside number, in addition to selecting frequency.Input method performs following steps before sequence proportion corresponding to each candidate item difference is calculated Rapid 306.
Within step 306, selecting frequency corresponding to n candidate item difference is obtained.
Wherein, selecting frequency F corresponding to i-th of candidate itemi=ti/Ti, TiWorking as entry corresponding to i-th of candidate item The history total degree of candidate item, t are chosen as in target area corresponding to preceding geographical positioniFor word corresponding to i-th of candidate item Bar is being chosen as the T of candidate itemiThe total degree of input content, i ∈ [1, n] are finally chosen as in secondary.
Server counts each entry in different targets previously according to actual use situation of a large number of users to input method Selecting frequency in region.Wherein, each different target area can be the geography for according to different places divide determination The different target area of region, such as XX parks, XX museums, XX banks.Selection of a certain entry in a certain target area Frequency, reflect the overall probability that the entry is used by a user in the target area.For example, " park " one word is in XX parks The history total degree for being chosen as candidate item is 100000 times, and in this is 100000 times, " park " one word is finally elected as defeated by user The total degree for entering content is 50000 times, then selecting frequency of " park " one word in XX parks is 50000/100000=0.5.
In the present embodiment, after input method obtains n candidate item, according to the current geographic position of user, inquiry obtains each Individual candidate item distinguishes corresponding selecting frequency in the target area corresponding to current geographic position.For example, it is assumed that user is in XX Park has adjusted input method to input " gongyuan ", and input method is searched from dictionary obtains matching entry " park ", " public affairs Member ", " work institute " and " tribute institute " are used as candidate item.Afterwards, input method obtains the corresponding choosing respectively in XX parks of each candidate item Take frequency.For example, selecting frequency corresponding to candidate item " park " is 0.5, selecting frequency corresponding to candidate item " Christian era " is 0.2, Selecting frequency corresponding to candidate item " work institute " be 0 and candidate item " tribute institute " corresponding to selecting frequency be 0.1.
In the present embodiment, selecting frequency corresponding to candidate item has influence on sequence proportion corresponding to candidate item.Sort proportion With selecting frequency correlation.That is, selecting frequency is bigger, sequence proportion is also bigger;Conversely, selecting frequency is smaller, row Sequence proportion is also smaller.Calculate sort proportion when, selecting frequency this parameter is taken into consideration, by a large number of users in the current institute of user Select word custom to take into account in region, be favorably improved the computational accuracy of sequence proportion.
In step 307, n candidate item corresponding sequence proportion respectively is calculated.
In the present embodiment, the calculating parameter of proportion of sorting comprises at least scene indices and selecting frequency.For example, input method Summation can be weighted to scene indices and selecting frequency corresponding to each candidate item, calculated by the way of weighted sum To sequence proportion corresponding to each candidate item difference.
In a kind of possible embodiment, input method can calculate n candidate item corresponding row respectively according to the following equation Sequence proportion:
Pi=Si×DC×SW+Fi×FW+Di×DW;
Wherein, PiFor the proportion that sorted corresponding to i-th of candidate item;SiFor scene indices corresponding to i-th of candidate item;DC is Distance coefficient, distance coefficient and the negatively correlated relation of the distance between current geographic position and target place;FiFor i-th of candidate Selecting frequency corresponding to;DiFor default sort proportion corresponding to i-th of candidate item;SW, FW and DW are respectively default weight.Can Selection of land, SW+FW+DW=1.
In above-mentioned calculation formula, the calculating parameter for the proportion that sorts also includes default sort proportion.Default sort proportion can The factors such as the personal use custom of the uncommon degree of entry, the overall use habit of a large number of users and user are taken into consideration to carry out It is determined that.Alternatively, the span of default sort proportion can be between section [0,1].Calculate sort proportion when, with reference to examining This parameter of worry default sort proportion, may be such that the sequence proportion being finally calculated is more accurate.
In addition, in above-mentioned calculation formula, the calculating parameter for the proportion that sorts also includes distance coefficient DC.Distance coefficient DC with The negatively correlated relation of the distance between current geographic position and target place.Alternatively, distance coefficient DC=1/S;Wherein, S is The distance between current geographic position and target place.Distance S between current geographic position and target place gets over hour, away from It is bigger from coefficient DC so that scene indices influence bigger on the final calculation result for the proportion that sorts;Conversely, in current geographic position When the distance between target place S is bigger, distance coefficient DC is smaller so that selecting frequency and default sort proportion are to the ratio that sorts The final calculation result of weight influences bigger.Calculate sort proportion when, take distance coefficient this parameter into consideration, realize foundation The actual conditions of the current geographic position of user, Mobile state adjustment is entered to the influence degree for the proportion that sorts to each calculating parameter, Be advantageous to further improve the accuracy in computation of sequence proportion.
In addition, the big I combination actual demand of each default weight of SW, FW and DW and experience are set, the present embodiment This is not construed as limiting.Default weight corresponding to a certain calculating parameter is bigger, final calculating of the calculating parameter to the proportion that sorts As a result influence is also bigger.
In step 308, n candidate item is ranked up by the order of sequence proportion from big to small.
In a step 309, n candidate item is shown according to ranking results.
Step 308 is identical to step 208 with the step 207 in embodiment illustrated in fig. 2 to step 309, reality shown in Figure 2 The introduction in example and explanation are applied, the present embodiment repeats no more to this.
In summary, the method that the present embodiment provides, by entering with reference to current geographic position to multiple candidate items of acquisition Row sequence;Solve correlation technique to be ranked up multiple candidate items of acquisition according only to default sort proportion, it is existing Sorted under some occasions not reasonable, the problem of influenceing user's input speed;Reach more accurate, reasonably candidate item has been entered Row sequence, improve the effect of user's input speed.
In addition, when calculating each candidate item corresponding sequence proportion respectively, many influence factors have been considered, Sequence proportion, the change of each parameter are calculated with reference to parameters such as scene indices, selecting frequency, default sort proportion and distance coefficients The dynamic change of sequence can be had influence on so that the ranking results finally given are more accurate, and being actually used closer to user needs Ask.
Following is embodiment of the present disclosure, can be used for performing embodiments of the present disclosure.It is real for disclosure device The details not disclosed in example is applied, refer to embodiments of the present disclosure.
Fig. 4 is a kind of device being ranked up to candidate item caused by input method according to an exemplary embodiment Block diagram.The device can be applied in such as terminal of mobile phone, tablet personal computer, multimedia player etc.The device can wrap Include:Data obtaining module 410, candidate item acquisition module 420, candidate item order module 430 and candidate item display module 440.
Data obtaining module 410, it is configured as obtaining user's input information.
Candidate item acquisition module 420, it is configured as searching what acquisition obtained with described information acquisition module 410 in dictionary The user inputs n entry of information match as n candidate item, n >=2.
Candidate item order module 430, it is configured as obtaining the candidate item acquisition module 420 according to current geographic position The n candidate item be ranked up.
Candidate item display module 440, ranking results according to the candidate item order module 430 are configured as by the n Individual candidate item is shown.
In summary, the device that the present embodiment provides, by entering with reference to current geographic position to multiple candidate items of acquisition Row sequence;Solve correlation technique to be ranked up multiple candidate items of acquisition according only to default sort proportion, it is existing Sorted under some occasions not reasonable, the problem of influenceing user's input speed;Reach more accurate, reasonably candidate item has been entered Row sequence, improve the effect of user's input speed.
Fig. 5 is a kind of dress being ranked up to candidate item caused by input method according to another exemplary embodiment The block diagram put.The device can be applied in such as terminal of mobile phone, tablet personal computer, multimedia player etc.The device can be with Including:Data obtaining module 410, candidate item acquisition module 420, candidate item order module 430 and candidate item display module 440.
Data obtaining module 410, it is configured as obtaining user's input information.
Candidate item acquisition module 420, it is configured as searching what acquisition obtained with described information acquisition module 410 in dictionary The user inputs n entry of information match as n candidate item, n >=2.
Candidate item order module 430, it is configured as obtaining the candidate item acquisition module 420 according to current geographic position The n candidate item be ranked up.
Candidate item display module 440, ranking results according to the candidate item order module 430 are configured as by the n Individual candidate item is shown.
Alternatively, the candidate item order module 430, including:Place acquisition submodule 430a, classification determination sub-module 430b, coefficient inquiry submodule 430c, proportion calculating sub module 430d and candidate item sorting sub-module 430e.
The place acquisition submodule 430a, it is configured as obtaining the target in all side regions of the current geographic position Place.
The classification determination sub-module 430b, it is configured to determine that the mesh that the place acquisition submodule 430a is obtained Mark the geographic scenes classification belonging to place.
The coefficient inquires about submodule 430c, is configured as being determined according to the classification determination sub-module 430b described Scene classification is managed, scene indices corresponding to the n candidate item difference are inquired about from scene indices storehouse;Wherein, the scene system The corresponding relation between geographic scenes classification, the candidate item and the scene indices is included in number storehouse.
The proportion calculating sub module 430d, it is configured as calculating the n candidate item corresponding sequence proportion respectively, institute State and the scene indices that coefficient inquiry submodule 430c inquiries obtain are comprised at least in the calculating parameter of sequence proportion.
The candidate item sorting sub-module 430e, it is configured as the institute being calculated by the proportion calculating sub module 430d The order of sequence proportion from big to small is stated to be ranked up the n candidate item.
Alternatively, the place acquisition submodule 430a, including:First chooses submodule 430a1;Or second choose Submodule 430a2.
Described first chooses submodule 430a1, is configured as all side region internal memories in the current geographic position extremely During few two places, it is the mesh to choose a place nearest with the current geographic position from least two place Mark place.
Described second chooses submodule 430a2, is configured as all side region internal memories in the current geographic position extremely During few two places, obtain priority orders corresponding at least two place, according to the priority orders from it is described to The place that highest priority is chosen in few two places is the target place;Wherein, the priority orders are bases At least one of in individual subscriber history access times, user's overall access number, the volume of the flow of passengers, popularity corresponding to each place Determine.
Alternatively, selecting frequency is also included in the calculating parameter of the sequence proportion, the candidate item order module 430, Also include:Frequency acquisition submodule 430f.
The frequency acquisition submodule 430f, it is configured as obtaining selecting frequency corresponding to the n candidate item difference;
Wherein, selecting frequency F corresponding to i-th of candidate itemi=ti/Ti, TiFor entry corresponding to i-th of candidate item The history total degree of candidate item, t are chosen as in the target area corresponding to the current geographic positioniFor described i-th time Entry corresponding to option is being chosen as the T of candidate itemiThe total degree of input content, i ∈ [1, n] are finally chosen as in secondary.
Alternatively, the proportion calculating sub module 430d, it is additionally configured to calculate the n candidate item according to the following equation Sequence proportion corresponding to respectively:
Pi=Si×DC×SW+Fi×FW+Di×DW;
Wherein, PiFor the proportion that sorted corresponding to i-th of candidate item;SiFor scene system corresponding to i-th of candidate item Number;DC is distance coefficient, and the distance coefficient and the distance between the current geographic position and the target place are in negative Pass relation;FiFor selecting frequency corresponding to i-th of candidate item;DiFor default sort ratio corresponding to i-th of candidate item Weight;SW, FW and DW are respectively default weight.
In summary, the device that the present embodiment provides, by entering with reference to current geographic position to multiple candidate items of acquisition Row sequence;Solve correlation technique to be ranked up multiple candidate items of acquisition according only to default sort proportion, it is existing Sorted under some occasions not reasonable, the problem of influenceing user's input speed;Reach more accurate, reasonably candidate item has been entered Row sequence, improve the effect of user's input speed.
In addition, also passed through by corresponding to the different scene indices of different geographic scenes classification settings for different entries The correlation degree that scene indices reflect between entry and geographic scenes classification so as to same below different geographic scenes During the sequencing problem of several candidate items, several candidate items can be shown with different sequence sequencings, it is ensured that The higher candidate item of the geographic scenes correlation degree that is presently in user preferentially shows, improves user when selecting candidate item Efficiency and usage experience.
In addition, when calculating each candidate item corresponding sequence proportion respectively, many influence factors have been considered, Sequence proportion, the change of each parameter are calculated with reference to parameters such as scene indices, selecting frequency, default sort proportion and distance coefficients The dynamic change of sequence can be had influence on so that the ranking results finally given are more accurate, and being actually used closer to user needs Ask.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method Embodiment in be described in detail, explanation will be not set forth in detail herein.
Fig. 6 is a kind of block diagram of device 600 according to an exemplary embodiment.For example, device 600 can be mobile Phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, Personal digital assistant etc..
Reference picture 6, device 600 can include following one or more assemblies:Processing component 602, memory 604, power supply Component 606, multimedia groupware 608, audio-frequency assembly 610, the interface 612 of input/output (I/O), sensor cluster 614, and Communication component 616.
The integrated operation of the usual control device 600 of processing component 602, such as communicated with display, call, data, phase The operation that machine operates and record operation is associated.Processing component 602 can refer to including one or more processors 620 to perform Order, to complete all or part of step of above-mentioned method.In addition, processing component 602 can include one or more modules, just Interaction between processing component 602 and other assemblies.For example, processing component 602 can include multi-media module, it is more to facilitate Interaction between media component 608 and processing component 602.
Memory 604 is configured as storing various types of data to support the operation in device 600.These data are shown Example includes the instruction of any application program or method for being operated on device 600, contact data, telephone book data, disappears Breath, picture, video etc..Memory 604 can be by any kind of volatibility or non-volatile memory device or their group Close and realize, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM) are erasable to compile Journey read-only storage (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory, flash Device, disk or CD.
Power supply module 606 provides electric power for the various assemblies of device 600.Power supply module 606 can include power management system System, one or more power supplys, and other components associated with generating, managing and distributing electric power for device 600.
Multimedia groupware 608 is included in the screen of one output interface of offer between described device 600 and user.One In a little embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen Curtain may be implemented as touch-screen, to receive the input signal from user.Touch panel includes one or more touch sensings Device is with the gesture on sensing touch, slip and touch panel.The touch sensor can not only sensing touch or sliding action Border, but also detect and touched or the related duration and pressure of slide with described.In certain embodiments, more matchmakers Body component 608 includes a front camera and/or rear camera.When device 600 is in operator scheme, such as screening-mode or During video mode, front camera and/or rear camera can receive outside multi-medium data.Each front camera and Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio-frequency assembly 610 is configured as output and/or input audio signal.For example, audio-frequency assembly 610 includes a Mike Wind (MIC), when device 600 is in operator scheme, during such as call model, logging mode and speech recognition mode, microphone by with It is set to reception external audio signal.The audio signal received can be further stored in memory 604 or via communication set Part 616 is sent.In certain embodiments, audio-frequency assembly 610 also includes a loudspeaker, for exports audio signal.
I/O interfaces 612 provide interface between processing component 602 and peripheral interface module, and above-mentioned peripheral interface module can To be keyboard, click wheel, button etc..These buttons may include but be not limited to:Home button, volume button, start button and lock Determine button.
Sensor cluster 614 includes one or more sensors, and the state for providing various aspects for device 600 is commented Estimate.For example, sensor cluster 614 can detect opening/closed mode of device 600, and the relative positioning of component, for example, it is described Component is the display and keypad of device 600, and sensor cluster 614 can be with 600 1 components of detection means 600 or device Position change, the existence or non-existence that user contacts with device 600, the orientation of device 600 or acceleration/deceleration and device 600 Temperature change.Sensor cluster 614 can include proximity transducer, be configured to detect in no any physical contact The presence of neighbouring object.Sensor cluster 614 can also include optical sensor, such as CMOS or ccd image sensor, for into As being used in application.In certain embodiments, the sensor cluster 614 can also include acceleration transducer, gyro sensors Device, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 616 is configured to facilitate the communication of wired or wireless way between device 600 and other equipment.Device 600 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.In an exemplary implementation In example, communication component 616 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel. In one exemplary embodiment, the communication component 616 also includes near-field communication (NFC) module, to promote junction service.Example Such as, in NFC module radio frequency identification (RFID) technology can be based on, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology, Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 600 can be believed by one or more application specific integrated circuits (ASIC), numeral Number processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for performing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided Such as include the memory 604 of instruction, above-mentioned instruction can be performed to complete the above method by the processor 620 of device 600.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..
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by the processing of device 600 Device perform when so that device 600 be able to carry out as above-mentioned Fig. 1, Fig. 2 or embodiment illustrated in fig. 3 offer to produced by input method The method that is ranked up of candidate item.
Those skilled in the art will readily occur to the disclosure its after considering specification and putting into practice invention disclosed herein Its embodiment.The application is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or Person's adaptations follow the general principle of the disclosure and including the undocumented common knowledges in the art of the disclosure Or conventional techniques.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following Claim is pointed out.
It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.

Claims (10)

  1. A kind of 1. method being ranked up to candidate item caused by input method, it is characterised in that methods described includes:
    Obtain user and input information;
    Search to obtain in dictionary and input n entry of information match as n candidate item, n >=2 with the user;
    Obtain a target place in all side regions of current geographic position;
    Determine the geographic scenes classification belonging to the target place;
    Classified according to the geographic scenes, scene indices corresponding to the n candidate item difference are inquired about from scene indices storehouse;Its In, the corresponding pass between geographic scenes classification, the candidate item and the scene indices is included in the scene indices storehouse System;
    The n candidate item corresponding sequence proportion respectively is calculated, is comprised at least in the calculating parameter of the sequence proportion described Scene indices;
    The n candidate item is ranked up by the order of the sequence proportion from big to small;
    The n candidate item is shown according to ranking results.
  2. 2. according to the method for claim 1, it is characterised in that the mesh in all side regions for obtaining current geographic position Place is marked, including:
    When all side region internal memories of the current geographic position are at least two places, chosen from least two place A nearest place is the target place with the current geographic position;
    Or
    When all side region internal memories of the current geographic position are at least two places, it is corresponding to obtain at least two place Priority orders;A place for choosing highest priority from least two place according to the priority orders is The target place;Wherein, the priority orders are individual subscriber history access times, user according to corresponding to each place In overall access number, the volume of the flow of passengers, popularity at least one of determine.
  3. 3. according to the method for claim 1, it is characterised in that also include choosing frequency in the calculating parameter of the sequence proportion Rate, methods described also include:
    Obtain selecting frequency corresponding to the n candidate item difference;
    Wherein, selecting frequency F corresponding to i-th of candidate itemi=ti/Ti, TiIt is entry corresponding to i-th of candidate item described The history total degree of candidate item, t are chosen as in target area corresponding to current geographic positioniFor i-th of candidate item pair The entry answered is being chosen as the T of candidate itemiThe total degree of input content, i ∈ [1, n] are finally chosen as in secondary.
  4. 4. according to the method for claim 3, it is characterised in that described to calculate the n candidate item corresponding sequence respectively Proportion, including:
    The n candidate item corresponding sequence proportion respectively is calculated according to the following equation:
    Pi=Si×DC×SW+Fi×FW+Di×DW;
    Wherein, PiFor the proportion that sorted corresponding to i-th of candidate item;SiFor scene indices corresponding to i-th of candidate item; DC is distance coefficient, the distance coefficient and the negatively correlated pass of the distance between the current geographic position and the target place System;FiFor selecting frequency corresponding to i-th of candidate item;DiFor default sort proportion corresponding to i-th of candidate item;SW、 FW and DW is respectively default weight.
  5. 5. a kind of device being ranked up to candidate item caused by input method, it is characterised in that described device includes:
    Data obtaining module, it is configured as obtaining user's input information;
    Candidate item acquisition module, it is configured as searching n entry for obtaining and inputting information match with the user in dictionary As n candidate item, n >=2;
    Candidate item order module includes:Place acquisition submodule, classification determination sub-module, coefficient inquiry submodule, proportion calculate Submodule and candidate item sorting sub-module;
    The place acquisition submodule, it is configured as obtaining a target place in all side regions of current geographic position;
    The classification determination sub-module, it is configured to determine that the geographic scenes classification belonging to the target place;
    The coefficient inquires about submodule, is configured as being classified according to the geographic scenes, the n are inquired about from scene indices storehouse Scene indices corresponding to candidate item difference;Wherein, geographic scenes classification, the candidate item are included in the scene indices storehouse Corresponding relation between the scene indices;
    The proportion calculating sub module, it is configured as calculating the n candidate item corresponding sequence proportion respectively, the sequence ratio The scene indices are comprised at least in the calculating parameter of weight;
    The candidate item sorting sub-module, it is configured as by the order of proportion from big to small that sorts to the n candidate item It is ranked up;
    Candidate item display module, it is configured as being shown the n candidate item according to ranking results.
  6. 6. device according to claim 5, it is characterised in that the place acquisition submodule, including:
    First chooses submodule, is configured as when all side region internal memories of the current geographic position are at least two places, It is the target place that a place nearest with the current geographic position is chosen from least two place;
    Or
    Second chooses submodule, is configured as when all side region internal memories of the current geographic position are at least two places, Priority orders corresponding at least two place are obtained, are selected according to the priority orders from least two place A place for taking highest priority is the target place;Wherein, the priority orders are according to corresponding to each place In individual subscriber history access times, user's overall access number, the volume of the flow of passengers, popularity at least one of determine.
  7. 7. device according to claim 5, it is characterised in that also include choosing frequency in the calculating parameter of the sequence proportion Rate, the candidate item order module, in addition to:Frequency acquisition submodule;
    The frequency acquisition submodule, it is configured as obtaining selecting frequency corresponding to the n candidate item difference;
    Wherein, selecting frequency F corresponding to i-th of candidate itemi=ti/Ti, TiIt is entry corresponding to i-th of candidate item described The history total degree of candidate item, t are chosen as in target area corresponding to current geographic positioniFor i-th of candidate item pair The entry answered is being chosen as the T of candidate itemiThe total degree of input content, i ∈ [1, n] are finally chosen as in secondary.
  8. 8. device according to claim 7, it is characterised in that
    The proportion calculating sub module, it is additionally configured to calculate the n candidate item corresponding sequence respectively according to the following equation Proportion:
    Pi=Si×DC×SW+Fi×FW+Di×DW;
    Wherein, PiFor the proportion that sorted corresponding to i-th of candidate item;SiFor scene indices corresponding to i-th of candidate item; DC is distance coefficient, the distance coefficient and the negatively correlated pass of the distance between the current geographic position and the target place System;FiFor selecting frequency corresponding to i-th of candidate item;DiFor default sort proportion corresponding to i-th of candidate item;SW、 FW and DW is respectively default weight.
  9. 9. a kind of device being ranked up to candidate item caused by input method, it is characterised in that described device includes:
    Processor;
    For the memory for the executable instruction for storing the processor;
    Wherein, the processor is configured as:
    Obtain user and input information;
    Search to obtain in dictionary and input n entry of information match as n candidate item, n >=2 with the user;
    Obtain a target place in all side regions of current geographic position;
    Determine the geographic scenes classification belonging to the target place;
    Classified according to the geographic scenes, scene indices corresponding to the n candidate item difference are inquired about from scene indices storehouse;Its In, the corresponding pass between geographic scenes classification, the candidate item and the scene indices is included in the scene indices storehouse System;
    The n candidate item corresponding sequence proportion respectively is calculated, is comprised at least in the calculating parameter of the sequence proportion described Scene indices;
    The n candidate item is ranked up by the order of the sequence proportion from big to small;
    The n candidate item is shown according to ranking results.
  10. A kind of 10. computer-readable recording medium, it is characterised in that had program stored therein in the computer-readable recording medium, Described program loaded as processor and performed with realize as described in any one of Claims 1-4 to caused by input method wait The method that option is ranked up.
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