CN105138512A - Phrase recommendation method and apparatus - Google Patents
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- CN105138512A CN105138512A CN201510493159.6A CN201510493159A CN105138512A CN 105138512 A CN105138512 A CN 105138512A CN 201510493159 A CN201510493159 A CN 201510493159A CN 105138512 A CN105138512 A CN 105138512A
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Abstract
The present disclosure relates to a phrase recommendation method and apparatus. The method comprises: when receiving an input instruction of a first target phrase, inputting the first target phrase; searching a preset database for an associated phrase corresponding to the first target phrase, wherein the preset database comprises correspondences among phrases, associated phrases and association frequencies; if the associated phrase is found, obtaining at least one associated phrase and an association frequency corresponding to the at least one associated phrase from the preset database based on the first target phrase; and recommending the at least one associated phrase based on the association frequency corresponding to the at least one associated phrase. According to the method and apparatus provided by the present disclosure, the first target phrase is input; the preset database is searched for the associated phrase corresponding to the first target phrase; and the obtained associated phrase is recommended, so that the recommended phrase is directly selected without requiring a user to type, thereby increasing the phrase input speed.
Description
Technical field
The disclosure relates to computer realm, particularly relates to a kind of phrase recommend method and device.
Background technology
Along with the fast development of technology, occurred diversified input method, in order to improve the input speed of user, these input methods input usually in units of phrase.In correlation technique, when inputting in units of phrase, terminal can store the frequency of each phrase of input in a database, and when inputting next phrase, this terminal can according to the frequency of the phrase of this database purchase, and show the phrase of this database purchase according to frequency order from big to small, to be recommended by the phrase of this database purchase.
Summary of the invention
For overcoming Problems existing in correlation technique, the disclosure provides a kind of phrase recommend method and device.
According to the first aspect of disclosure embodiment, provide a kind of phrase recommend method, described method comprises:
When receiving the input instruction of first object phrase, input described first object phrase;
From presetting database, search the association phrase that described first object phrase is corresponding, described presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency;
If found, then based on described first object phrase, from described presetting database, obtain at least one association phrase with described at least one associate the association frequency corresponding to phrase;
Based on the association frequency that at least one association phrase described is corresponding, at least one association phrase described is recommended.
In conjunction with first aspect, in the first possible implementation of above-mentioned first aspect, the described association frequency corresponding based at least one association phrase described, at least one association phrase described is recommended, comprising:
According to the association frequency order from big to small that at least one association phrase described is corresponding, at least one association phrase described is recommended.
In conjunction with first aspect, in the implementation that the second of above-mentioned first aspect is possible, the described association frequency corresponding based at least one association phrase described, at least one association phrase described is recommended, comprising:
Based on the association frequency of at least one association phrase described, from least one association phrase described, the association frequency is selected to be greater than the association phrase of the first frequency threshold value;
According to the association frequency order from big to small that the association phrase selected is corresponding, the association phrase of described selection is recommended.
In conjunction with any one possible implementation in first aspect to the possible implementation of the second of first aspect, in the third possible implementation of above-mentioned first aspect, the described association frequency corresponding based at least one association phrase described, after at least one association phrase described is recommended, also comprise:
When receiving the input instruction of specifying phrase, based on described first object phrase and described appointment phrase, the phrase comprised described presetting database, association phrase upgrade with corresponding relation associate between the frequency, and described appointment phrase is the phrase that outside arbitrary association phrase at least one association phrase described or at least one association phrase described, user inputs.
In conjunction with first aspect, in the 4th kind of possible implementation of above-mentioned first aspect, described from presetting database, after searching association phrase corresponding to described first object phrase, also comprise:
If do not find and receive the input instruction of the second target phrase, then input described second target phrase, the next target phrase that described second target phrase inputs after being the described first object phrase of input;
Based on described first object phrase and described second target phrase, the phrase comprised described presetting database, association phrase upgrade with the corresponding relation associated between the frequency.
In conjunction with the 4th kind of possible implementation of first aspect, in the 5th kind of possible implementation of above-mentioned first aspect, described based on described first object phrase and described second target phrase, the phrase comprised described presetting database, association phrase upgrade with the corresponding relation associated between the frequency, comprising:
Described second target phrase is defined as the association phrase of described first object phrase;
Arrange and associate the frequency between described first object phrase with described second target phrase, obtain the first association frequency;
Described first object phrase, described second target phrase are associated the frequency with described first, is stored in phrase that described presetting database comprises, association phrase with the corresponding relation associated between the frequency.
According to the second aspect of disclosure embodiment, provide a kind of phrase recommendation apparatus, described device comprises:
First load module, for when receiving the input instruction of first object phrase, inputs described first object phrase;
Search module, for from presetting database, search the association phrase that described first object phrase is corresponding, described presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency;
Acquisition module, if for finding, then based on described first object phrase, from described presetting database, obtain at least one association phrase with described at least one associate the association frequency corresponding to phrase;
Recommending module, for based on the association frequency corresponding at least one association phrase described, recommends at least one association phrase described.
In conjunction with second aspect, in the first possible implementation of above-mentioned second aspect, described recommending module comprises:
First recommending module, for according to association frequency order from big to small corresponding at least one association phrase described, recommends at least one association phrase described.
In conjunction with second aspect, in the implementation that the second of above-mentioned second aspect is possible, described recommending module comprises:
Select module, for the association frequency based at least one association phrase described, from least one association phrase described, select the association frequency to be greater than the association phrase of the first frequency threshold value;
Second recommending module, for according to association frequency order from big to small corresponding to association phrase selected, recommends the association phrase of described selection.
In conjunction with any one possible implementation in second aspect to the possible implementation of the second of second aspect, in the third possible implementation of above-mentioned second aspect, described device also comprises:
First update module, for when receiving the input instruction of specifying phrase, based on described first object phrase and described appointment phrase, the phrase comprised described presetting database, association phrase upgrade with corresponding relation associate between the frequency, and described appointment phrase is the phrase that outside arbitrary association phrase at least one association phrase described or at least one association phrase described, user inputs.
In conjunction with second aspect, in the 4th kind of possible implementation of above-mentioned second aspect, described device also comprises:
Second load module, if for not finding and receiving the input instruction of the second target phrase, then input described second target phrase, the next target phrase that described second target phrase inputs after being the described first object phrase of input;
Second update module, for based on described first object phrase and described second target phrase, the phrase comprised described presetting database, association phrase upgrade with the corresponding relation associated between the frequency.
In conjunction with the 4th kind of possible implementation of second aspect, in the 5th kind of possible implementation of above-mentioned second aspect, described second update module comprises:
Determination module, for being defined as the association phrase of described first object phrase by described second target phrase;
Module is set, associates the frequency for arranging between described first object phrase with described second target phrase, obtaining the first association frequency;
Memory module, for described first object phrase, described second target phrase are associated the frequency with described first, is stored in phrase that described presetting database comprises, association phrase with the corresponding relation associated between the frequency.
According to the third aspect of disclosure embodiment, provide a kind of phrase recommendation apparatus, described device comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
When receiving the input instruction of first object phrase, input described first object phrase;
From presetting database, search the association phrase that described first object phrase is corresponding, described presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency;
If found, then based on described first object phrase, from described presetting database, obtain at least one association phrase with described at least one associate the association frequency corresponding to phrase;
Based on the association frequency that at least one association phrase described is corresponding, at least one association phrase described is recommended.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect: when terminal receives the input instruction of first object phrase, input first object phrase, this terminal is from presetting database, search the association phrase that first object phrase is corresponding, when this terminal finds association phrase corresponding to first object phrase, in order to save the time of input phrase, this terminal can based on first object phrase, from this presetting database, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this, and the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended, thus typewrite without the need to user, directly select the phrase recommended, therefore improve the speed of input phrase.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows embodiment according to the invention, and is used from instructions one and explains principle of the present invention.
Fig. 1 is the process flow diagram of a kind of phrase recommend method according to an exemplary embodiment.
Fig. 2 is the process flow diagram of the another kind of phrase recommend method according to an exemplary embodiment.
Fig. 3 is the block diagram of a kind of phrase recommendation apparatus according to an exemplary embodiment.
Fig. 4 is the block diagram of a kind of recommending module according to an exemplary embodiment.
Fig. 5 is the block diagram of the another kind of phrase recommendation apparatus according to an exemplary embodiment.
Fig. 6 is the block diagram of another the phrase recommendation apparatus according to an exemplary embodiment.
Fig. 7 is the block diagram of a kind of second update module according to an exemplary embodiment.
Fig. 8 is the block diagram of the another kind of phrase recommendation apparatus according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the present invention.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present invention are consistent.
Before in detail explanation is explained to disclosure embodiment, first the application scenarios of disclosure embodiment is introduced.At present, in existing input method, when inputting in units of phrase, terminal can store the frequency of each phrase of input in a database, and when inputting next phrase, this terminal can according to the frequency of the phrase of this database purchase, the phrase of this database purchase is recommended, that is to say, can according to the frequency of the phrase of this database purchase, the DISPLAY ORDER of dynamic adjustment phrase.But, when inputting phrase or sentence, that is to say, the continuous input of multiple phrase, only adjust DISPLAY ORDER according to the frequency of phrase, departed from the real language contexts of phrase or sentence, and the large phrase of the frequency might not be the phrase that user wants to input, therefore, present disclose provides a kind of phrase recommend method, can according to the frequency of input phrase, and the relevance combined between input phrase carries out phrase recommendation, improves the input speed of phrase.
Fig. 1 is the process flow diagram of a kind of phrase recommend method according to an exemplary embodiment, and as shown in Figure 1, the method is used for, in terminal, comprising the following steps.
In a step 101, when receiving the input instruction of first object phrase, input first object phrase.
In a step 102, from presetting database, search the association phrase that first object phrase is corresponding, this presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency.
In step 103, if found, then based on first object phrase, from this presetting database, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this.
At step 104, the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended.
In embodiment of the present disclosure, when terminal receives the input instruction of first object phrase, input first object phrase, this terminal is from presetting database, search the association phrase that first object phrase is corresponding, when this terminal finds association phrase corresponding to first object phrase, in order to save the time of input phrase, this terminal can based on first object phrase, from this presetting database, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this, and the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended, thus typewrite without the need to user, directly select the phrase recommended, therefore improve the speed of input phrase.
In another embodiment of the present disclosure, the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended, and comprising:
The association frequency order from big to small that at least one association phrase is corresponding according to this, by this, at least one association phrase is recommended.
In another embodiment of the present disclosure, the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended, and comprising:
Association frequency of at least one association phrase based on this, from this at least one association phrase, selects the association frequency to be greater than the association phrase of the first frequency threshold value;
According to the association frequency order from big to small that the association phrase selected is corresponding, the association phrase of selection is recommended.
In another embodiment of the present disclosure, the association frequency that at least one association phrase is corresponding based on this, after by this, at least one association phrase is recommended, also comprises:
When receiving the input instruction of specifying phrase, based on first object phrase and this appointment phrase, the phrase comprised this presetting database, association phrase upgrade with corresponding relation associate between the frequency, and this appointment phrase is the phrase that outside arbitrary association phrase in this at least one association phrase or this at least one association phrase, user inputs.
In another embodiment of the present disclosure, from presetting database, after searching association phrase corresponding to first object phrase, also comprise:
If do not find and receive the input instruction of the second target phrase, then input the second target phrase, the next target phrase that the second target phrase inputs after being input first object phrase;
Based on first object phrase and the second target phrase, the phrase comprised this presetting database, association phrase upgrade with the corresponding relation associated between the frequency.
In another embodiment of the present disclosure, based on first object phrase and the second target phrase, the phrase comprised this presetting database, association phrase upgrade with the corresponding relation associated between the frequency, comprising:
Second target phrase is defined as the association phrase of first object phrase;
Arrange and associate the frequency between first object phrase with the second target phrase, obtain the first association frequency;
First object phrase, the second target phrase are associated the frequency with first, is stored in phrase that this presetting database comprises, association phrase with the corresponding relation associated between the frequency.
Above-mentioned all alternatives, all can form embodiment of the present disclosure according to combining arbitrarily, disclosure embodiment repeats no longer one by one to this.
Fig. 2 is the process flow diagram of a kind of phrase recommend method according to an exemplary embodiment, and with reference to Fig. 2, the method is used for, in terminal, comprising the following steps.
In step 201, when receiving the input instruction of first object phrase, input first object phrase.
Because first object phrase is the phrase of first time input, this terminal cannot confirm the real language contexts of this phrase place sentence, and therefore, when this terminal receives the input instruction of first object phrase, this terminal can directly input first object phrase.
Wherein, this first object phrase can comprise single word, also can comprise multiple word, such as word, Chinese idiom, verse etc., and disclosure embodiment is not specifically limited this.
It should be noted that, this input instruction is for inputting phrase, and this input instruction is triggered by user, and user can be triggered by assigned operation, this assigned operation can be knock acknowledgement key, knock space bar, point touching screen etc., disclosure embodiment is not specifically limited this.
In step 202., from presetting database, search the association phrase that first object phrase is corresponding, this presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency.
After input first object phrase, the speed of phrase is inputted in order to improve user, this terminal can judge whether there is association phrase corresponding to first object phrase in presetting database, if there is the association phrase that first object phrase is corresponding in preset data, then this terminal is determined from presetting database, the association phrase that first object phrase is corresponding can be found, if there is not the association phrase that first object phrase is corresponding in presetting database, then this terminal is determined from presetting database, searches less than association phrase corresponding to first object phrase.
It should be noted that, this presetting database is for storing phrase, the association phrase and the corresponding relation associated between the frequency of input, because this presetting database carries out storing according to the input content of user and input habit, and the input content of different user is different with input habit, therefore, terminal can a corresponding presetting database, so that when user corresponding to this terminal carries out phrase inputting, the phrase that the presetting database that this terminal is stored comprises is recommended, make phrase recommend to have more specific aim, dirigibility is higher.
Wherein, the association phrase of first object phrase refers to the phrase that there is incidence relation with first object phrase, and the association frequency of first object phrase refer to first object phrase corresponding with first object phrase associate the associated frequency of phrase.Such as, first object phrase is phrase 1, and after input phrase 1, the next phrase inputted is phrase 2, then there is incidence relation between phrase 1 and phrase 2, and then determine that phrase 2 is the association phrase of phrase 1, and what arrange phrase 1 and phrase 2 associates the frequency simultaneously.
In step 203, if found, then based on this first object phrase, from this presetting database, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this.
When this terminal finds association phrase corresponding to first object phrase, this terminal can based on first object phrase, the phrase comprised from presetting database, association phrase are with the corresponding relation associated between the frequency, obtain corresponding association phrase and associate the association frequency corresponding to phrase with this, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this.
Such as, this terminal is based on first object phrase, that is to say phrase 1, from phrase as shown in table 1 below, association phrase with the corresponding relation associated between the frequency, the association phrase obtaining phrase 1 correspondence with associate the frequency, the association phrase obtaining phrase 1 correspondence is phrase 2, phrase 3 and phrase 4, and the association frequency of phrase 2 correspondence be 1, the association frequency of phrase 3 correspondence is 3, the association frequency of phrase 4 correspondence is 7.
Table 1
It should be noted that, the association phrase that each phrase is corresponding not only can comprise one, and also can comprise multiple, disclosure embodiment is not specifically limited this.
Further, if this terminal does not find association phrase corresponding to first object phrase from presetting database, and this terminal is when receiving the input instruction of the second target phrase, then input the second target phrase, the next target phrase that second target phrase inputs after being input first object phrase, based on first object phrase and the second target phrase, the phrase comprised this presetting database, association phrase upgrade with the corresponding relation associated between the frequency.
Wherein, this terminal is based on first object phrase and the second target phrase, and the phrase comprised this presetting database, association phrase with the process that the corresponding relation associated between the frequency upgrades can be: what the second target phrase was defined as first object phrase by this terminal associates phrase; Arrange and associate the frequency between first object phrase with the second target phrase, obtain the first association frequency; And first object phrase, the second target phrase are associated the frequency with first, be stored in phrase that presetting database comprises, association phrase with corresponding relation associate between the frequency, with the phrase comprised this presetting database, associate phrase and upgrade with the corresponding relation associated between the frequency.
It should be noted that, what the first association frequency referred to first object phrase and the second target phrase associates the frequency, and first associates the frequency can be set to 1, and also can be set to 2,3,4 etc., disclosure embodiment is not specifically limited this.
Such as, the second target phrase is phrase 8, and the first association frequency is 1, then this terminal is based on phrase 1 and phrase 8, this phrase 8 is defined as the association phrase of phrase 1; Arrange and associate the frequency between phrase 1 with phrase 8, obtaining the first association frequency is 1; This phrase 1, phrase 8 are associated the frequency 1 with first, be stored in the phrase shown in above-mentioned table 1, association phrase with the corresponding relation associated between the frequency, thus obtain phrase as shown in table 2 below, association phrase and the corresponding relation associated between the frequency, to upgrade with the corresponding relation associated between the frequency the phrase shown in above-mentioned table 1, association phrase.
Table 2
In step 204, the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended.
After this terminal gets first object phrase corresponding at least one association phrase and this at least one associates the association frequency corresponding to phrase, this terminal can by this, at least one associates phrase and recommends by the following two kinds mode, as described below.
First kind of way, this terminal association frequency that at least one association phrase is corresponding based on this, recommends according to association frequency order from big to small.
This terminal association frequency that at least one association phrase is corresponding based on this, the operation carrying out recommending according to association frequency order from big to small can be: the phrase that association phrase maximum for the association frequency inputs as the next one by this terminal, acquiescence is presented at first place, the association phrase that the association frequency is only second to the most relevance frequency is presented at second, other association phrase in like manner shows successively, until the association phrase that this at least one association phrase comprises all shows, recommend with this.
Such as, the association phrase of phrase 1 correspondence is phrase 2, phrase 3, phrase 4 and phrase 8, and the association frequency of phrase 2 correspondence is 1, the association frequency of phrase 3 correspondence is 3, the association frequency of phrase 4 correspondence is 7, the association frequency of phrase 8 correspondence is 1, this terminal is based on this phrase 2, phrase 3, phrase 4 is recommended with the frequency order from big to small that associates of phrase 8 correspondence, that is to say, the phrase that phrase 4 inputs as the next one by this terminal, acquiescence is presented at first place, phrase 3 is presented at second, phrase 2 is presented at the 3rd, phrase 8 is presented at the 4th, recommend with this.
It should be noted that, when this at least one association phrase in exist association frequency size corresponding to multiple association phrase identical time, this terminal by the plurality of association phrase when recommending, can display position between the plurality of association phrase of random alignment, disclosure embodiment is not specifically limited this.
The second way, this terminal association frequency that at least one association phrase is corresponding based on this, the association frequency is selected to be more than or equal to the association phrase of the first frequency threshold value from this at least one association phrase, and according to association frequency order from big to small corresponding to association phrase selected, the association phrase of selection is recommended.
The association phrase that at least one association phrase comprises when this is many, and user to input the possibility associating the larger association phrase of the frequency in this at least one association phrase larger, if at least one association phrase is all recommended by this, then can affect the speed of input, therefore, the association frequency is more than or equal to the association phrase of the first frequency threshold value by this terminal, recommend according to association frequency order from big to small, that is to say, this terminal selects the association frequency to be more than or equal to the association phrase of the first frequency threshold value from this at least one association phrase, and the phrase that will the maximum association phrase of the frequency be associated in the association phrase of selection input as the next one, acquiescence is presented at first place, the association phrase that the association frequency is only second to the most relevance frequency is presented at second, other association phrase in like manner shows successively, until the association phrase of selection is all shown, recommend with this.
Such as, this first frequency threshold value is 3, this terminal association frequency that at least one association phrase is corresponding based on this, the association phrase that the association frequency is more than or equal to the first frequency threshold value 3 is recommended, that is to say, this terminal is by phrase 3 and the phrase 4 associating the frequency and be more than or equal to the first frequency threshold value 3 corresponding in phrase 2, phrase 3, phrase 4 and phrase 8, according to association frequency order from big to small, using the phrase that phrase 4 inputs as the next one, acquiescence is presented at first place, phrase 3 is presented at second, recommends with this.
Further, this terminal not only at least one can associate the association frequency corresponding to phrase based on this, by this, at least one association phrase is recommended, and at least one can also associate association probability corresponding to phrase based on this, by this, at least one association phrase is recommended.And the association probability that at least one association phrase is corresponding based on this, the method that at least one association phrase carries out recommending by this is similar to said method, and disclosure embodiment no longer repeats at this.
It should be noted that, the association probability of association phrase refers to the ratio that the association frequency that this association phrase is corresponding is shared in the total correlation frequency, and the total correlation frequency refers to the association frequency sum that each association phrase in this at least one association phrase is corresponding.
In step 205, when this terminal receives the input instruction of specifying phrase, based on first object phrase and this appointment phrase, the phrase comprised this presetting database, association phrase upgrade with corresponding relation associate between the frequency, and this appointment phrase is the phrase that outside arbitrary association phrase in this at least one association phrase or this at least one association phrase, user inputs.
Due to arbitrary association phrase that this appointment phrase can be not only in this at least one association phrase, also can be the phrase of user's input outside this at least one association phrase, therefore, this terminal is based on first object phrase and this appointment phrase, the phrase comprised this presetting database, association phrase are different from the process that the corresponding relation associated between the frequency upgrades, and are described in detail respectively below to this.
When this appointment phrase is the arbitrary association phrase in this at least one association phrase, this terminal is based on first object phrase and this appointment phrase, to the phrase that this presetting database comprises, association phrase and corresponding relation associate between the frequency carry out the process that upgrades for can: this terminal is based on first object phrase and this appointment phrase, from the phrase that presetting database comprises, association phrase is with the corresponding relation associated between the frequency, obtain the corresponding association frequency, and increase the association frequency obtained, with the phrase comprised this presetting database, association phrase upgrades with the corresponding relation associated between the frequency.
The operation that this terminal increases the association frequency obtained can be: the association frequency obtained is increased by 1.Further, in the disclosed embodiments, the association frequency increase by 2,3 etc. that this terminal can also will obtain, as long as the numerical value that this association frequency increases is consistent at every turn, disclosure embodiment is not specifically limited this.
Such as, this appointment phrase is phrase 3, the association frequency increases by 1, this terminal is based on first object phrase and this appointment phrase, from the phrase shown in above-mentioned table 1, association phrase with the corresponding relation associated between the frequency, the association frequency obtaining phrase 3 correspondence is 3, the association frequency obtained is increased by 1 by this terminal, obtaining the new association frequency is 4, thus obtain phrase as shown in table 3 below, association phrase and the corresponding relation associated between the frequency, to upgrade with the corresponding relation associated between the frequency the phrase shown in above-mentioned table 1, association phrase.
Table 3
In addition, when this appointment phrase is the phrase of user's input outside this at least one association phrase, this terminal is based on first object phrase and this appointment phrase, and the phrase comprised this presetting database, association phrase with the process that the corresponding relation associated between the frequency upgrades can be: what this appointment phrase is defined as first object phrase associates phrase; Arrange and associate the frequency between first object phrase with this appointment phrase, obtain the second association frequency; By first object phrase, phrase is specified to associate the frequency with second, be stored in phrase that this presetting database comprises, association phrase with corresponding relation associate between the frequency, with the phrase comprised this presetting database, associate phrase and upgrade with the corresponding relation associated between the frequency.
Such as, this appointment phrase is phrase 9, and this terminal is based on first object phrase and this appointment phrase, and the phrase comprised this presetting database, association phrase upgrade with the corresponding relation associated between the frequency, that is to say, this phrase 9 is defined as the association phrase of phrase 1 by this terminal; Arrange and associate the frequency between phrase 1 with phrase 9, obtaining the second association frequency is 1; Phrase 1, phrase 9 second are associated the frequency 1 with this, be stored in the phrase shown in above-mentioned table 1, association phrase with the corresponding relation associated between the frequency, thus obtain phrase as shown in table 4 below, association phrase and the corresponding relation associated between the frequency, to upgrade with the corresponding relation associated between the frequency the phrase shown in above-mentioned table 1, association phrase.
Table 4
Further, when the phrase that this presetting database comprises, when association phrase is many with the content associating the frequency, the storage space of this presetting database occupied terminal is larger, also can affect the speed that this terminal searches association phrase simultaneously, therefore, this terminal can periodically to the phrase that this presetting database comprises, association phrase with associate the frequency and process, and the phrase that this terminal comprises this presetting database, association phrase and associate the operation that the frequency carries out processing and can be: the association frequency during this terminal many of this presetting database being comprised record and the second frequency threshold value compare, from many records that this presetting database comprises, the association frequency is selected to be less than the record of the second frequency threshold value, and by phrase that the record of selection comprises, associate phrase and associate frequency deletion.
Such as, second frequency threshold value is 2, this terminal can based on the association frequency, to the phrase shown in above-mentioned table 4, association phrase processes with the corresponding relation associated between the frequency, that is to say, the association frequency in many records that this presetting database comprises by this terminal and the second frequency threshold value compare, from many records that this presetting database comprises, the association frequency is selected to be less than the record being recorded as phrase 2 and phrase 9 place in the association phrase of phrase 1 correspondence of the second frequency threshold value, and by phrase that the record at the phrase 2 of selection and phrase 9 place comprises, associate phrase and associate frequency deletion, thus obtain phrase as shown in table 5 below, association phrase and the corresponding relation associated between the frequency, with to the phrase shown in above-mentioned table 4, association phrase processes with the corresponding relation associated between the frequency.
Table 5
It should be noted that, first frequency threshold value and the second frequency threshold value can be arrange in advance, and the magnitude relationship of disclosure embodiment to the first frequency threshold value and the second frequency threshold value is not specifically limited, such as, this first frequency threshold value and the second frequency threshold value can be 2,5,10 etc., and disclosure embodiment is not specifically limited equally to this.
In embodiment of the present disclosure, when terminal receives the input instruction of first object phrase, input this first object phrase, this terminal is from presetting database, search the association phrase that this first object phrase is corresponding, when this terminal finds association phrase corresponding to first object phrase, in order to save the time of input phrase, this terminal can based on this first object phrase, from this presetting database, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this, and the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended, thus typewrite without the need to user, directly select the phrase recommended, therefore improve the speed of input phrase.
Fig. 3 is a kind of phrase recommendation apparatus block diagram according to an exemplary embodiment.With reference to Fig. 3, this device comprises the first load module 301, searches module 302, acquisition module 303, recommending module 304.
First load module 301, for when receiving the input instruction of first object phrase, input first object phrase;
Search module 302, for from presetting database, search the association phrase that first object phrase is corresponding, this presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency;
Acquisition module 303, if for finding, then based on first object phrase, from this presetting database, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this;
Recommending module 304, for the association frequency that at least one association phrase based on this is corresponding, by this, at least one association phrase is recommended.
In another embodiment of the present disclosure, this recommending module 304 comprises:
First recommending module, for the association frequency order from big to small that at least one association phrase according to this is corresponding, by this, at least one association phrase is recommended.
In another embodiment of the present disclosure, with reference to Fig. 4, this recommending module 304 comprises selects module 3041, second recommending module 3042.
Select module 3041, for the association frequency of at least one association phrase based on this, from this at least one association phrase, select the association frequency to be greater than the association phrase of the first frequency threshold value;
Second recommending module 3042, for according to association frequency order from big to small corresponding to association phrase selected, recommends the association phrase of this selection.
In another embodiment of the present disclosure, with reference to Fig. 5, this device also comprises the first update module 305.
First update module 305, for when receiving the input instruction of specifying phrase, based on first object phrase and this appointment phrase, the phrase comprised this presetting database, association phrase upgrade with corresponding relation associate between the frequency, and this appointment phrase is the phrase that outside arbitrary association phrase in this at least one association phrase or this at least one association phrase, user inputs.
In another embodiment of the present disclosure, with reference to Fig. 6, this device also comprises the second load module 306, second update module 307.
Second load module 306, if for not finding and receiving the input instruction of the second target phrase, then input the second target phrase, the next target phrase that the second target phrase inputs after being input first object phrase;
Second update module 307, for based on first object phrase and the second target phrase, the phrase comprised this presetting database, association phrase upgrade with the corresponding relation associated between the frequency.
In another embodiment of the present disclosure, with reference to Fig. 7, this second update module 307 comprises determination module 3071, arranges module 3072, memory module 3073.
Determination module 3071, for being defined as the association phrase of first object phrase by the second target phrase;
Module 3072 is set, associates the frequency for arranging between first object phrase with the second target phrase, obtaining the first association frequency;
Memory module 3073, for first object phrase, the second target phrase are associated the frequency with first, is stored in phrase that this presetting database comprises, association phrase with the corresponding relation associated between the frequency.
In embodiment of the present disclosure, when terminal receives the input instruction of first object phrase, input first object phrase, this terminal is from presetting database, search the association phrase that first object phrase is corresponding, when this terminal finds association phrase corresponding to first object phrase, in order to save the time of input phrase, this terminal can based on first object phrase, from this presetting database, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this, and the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended, thus typewrite without the need to user, directly select the phrase recommended, therefore improve the speed of input phrase.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
Fig. 8 is the block diagram of a kind of device 800 for phrase recommendation according to an exemplary embodiment.Such as, device 800 can be mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Fig. 8, device 800 can comprise following one or more assembly: processing components 802, storer 804, power supply module 806, multimedia groupware 808, audio-frequency assembly 810, the interface 812 of I/O (I/O), sensor module 814, and communications component 816.
The integrated operation of the usual control device 800 of processing components 802, such as with display, call, data communication, camera operation and record operate the operation be associated.Treatment element 802 can comprise one or more processor 820 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 802 can comprise one or more module, and what be convenient between processing components 802 and other assemblies is mutual.Such as, processing element 802 can comprise multi-media module, mutual with what facilitate between multimedia groupware 808 and processing components 802.
Storer 804 is configured to store various types of data to be supported in the operation of equipment 800.The example of these data comprises for any application program of operation on device 800 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 804 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that electric power assembly 806 is device 800 provide electric power.Electric power assembly 806 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 800 and be associated.
Multimedia groupware 808 is included in the screen providing an output interface between described device 800 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 808 comprises a front-facing camera and/or post-positioned pick-up head.When equipment 800 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 810 is configured to export and/or input audio signal.Such as, audio-frequency assembly 810 comprises a microphone (MIC), and when device 800 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 804 further or be sent via communications component 816.In certain embodiments, audio-frequency assembly 810 also comprises a loudspeaker, for output audio signal.
I/O interface 812 is for providing interface between processing components 802 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 814 comprises one or more sensor, for providing the state estimation of various aspects for device 800.Such as, sensor module 814 can detect the opening/closing state of equipment 800, the relative positioning of assembly, such as described assembly is display and the keypad of device 800, the position of all right pick-up unit 800 of sensor module 814 or device 800 1 assemblies changes, the presence or absence that user contacts with device 800, the temperature variation of device 800 orientation or acceleration/deceleration and device 800.Sensor module 814 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 814 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 814 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 816 is configured to the communication being convenient to wired or wireless mode between device 800 and other equipment.Device 800 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communication component 816 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communication component 816 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 800 can be realized, for performing said method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 804 of instruction, above-mentioned instruction can perform said method by the processor 820 of device 800.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of mobile terminal, make mobile terminal can perform a kind of phrase recommend method, the method comprises:
When receiving the input instruction of first object phrase, input first object phrase;
From presetting database, search the association phrase that first object phrase is corresponding, this presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency;
If found, then based on first object phrase, from this presetting database, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this;
The association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended.
In another embodiment of the present disclosure, the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended, and comprising:
The association frequency order from big to small that at least one association phrase is corresponding according to this, by this, at least one association phrase is recommended.
In another embodiment of the present disclosure, the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended, and comprising:
Association frequency of at least one association phrase based on this, from this at least one association phrase, selects the association frequency to be greater than the association phrase of the first frequency threshold value;
According to the association frequency order from big to small that the association phrase selected is corresponding, the association phrase of selection is recommended.
In another embodiment of the present disclosure, the association frequency that at least one association phrase is corresponding based on this, after by this, at least one association phrase is recommended, also comprises:
When receiving the input instruction of specifying phrase, based on first object phrase and this appointment phrase, the phrase comprised this presetting database, association phrase upgrade with corresponding relation associate between the frequency, and this appointment phrase is the phrase that outside arbitrary association phrase in this at least one association phrase or this at least one association phrase, user inputs.
In another embodiment of the present disclosure, from presetting database, after searching association phrase corresponding to first object phrase, also comprise:
If do not find and receive the input instruction of the second target phrase, then input the second target phrase, the next target phrase that the second target phrase inputs after being input first object phrase;
Based on first object phrase and the second target phrase, the phrase comprised this presetting database, association phrase upgrade with the corresponding relation associated between the frequency.
In another embodiment of the present disclosure, based on first object phrase and the second target phrase, the phrase comprised this presetting database, association phrase upgrade with the corresponding relation associated between the frequency, comprising:
Second target phrase is defined as the association phrase of first object phrase;
Arrange and associate the frequency between first object phrase with the second target phrase, obtain the first association frequency;
First object phrase, the second target phrase are associated the frequency with first, is stored in phrase that this presetting database comprises, association phrase with the corresponding relation associated between the frequency.
In embodiment of the present disclosure, when terminal receives the input instruction of first object phrase, input first object phrase, this terminal is from presetting database, search the association phrase that first object phrase is corresponding, when this terminal finds association phrase corresponding to first object phrase, in order to save the time of input phrase, this terminal can based on first object phrase, from this presetting database, at least one associates the association frequency corresponding to phrase to obtain at least one association phrase and this, and the association frequency that at least one association phrase is corresponding based on this, by this, at least one association phrase is recommended, thus typewrite without the need to user, directly select the phrase recommended, therefore improve the speed of input phrase.
Those skilled in the art, at consideration instructions and after putting into practice invention disclosed herein, will easily expect other embodiment of the present invention.The application is intended to contain any modification of the present invention, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present invention and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present invention and spirit are pointed out by claim below.
Should be understood that, the present invention is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.Scope of the present invention is only limited by appended claim.
Claims (13)
1. a phrase recommend method, is characterized in that, described method comprises:
When receiving the input instruction of first object phrase, input described first object phrase;
From presetting database, search the association phrase that described first object phrase is corresponding, described presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency;
If found, then based on described first object phrase, from described presetting database, obtain at least one association phrase with described at least one associate the association frequency corresponding to phrase;
Based on the association frequency that at least one association phrase described is corresponding, at least one association phrase described is recommended.
2. the method for claim 1, is characterized in that, the described association frequency corresponding based at least one association phrase described, is recommended by least one association phrase described, comprising:
According to the association frequency order from big to small that at least one association phrase described is corresponding, at least one association phrase described is recommended.
3. the method for claim 1, is characterized in that, the described association frequency corresponding based at least one association phrase described, is recommended by least one association phrase described, comprising:
Based on the association frequency of at least one association phrase described, from least one association phrase described, the association frequency is selected to be greater than the association phrase of the first frequency threshold value;
According to the association frequency order from big to small that the association phrase selected is corresponding, the association phrase of described selection is recommended.
4. the method as described in claim as arbitrary in claim 1-3, is characterized in that, the described association frequency corresponding based at least one association phrase described, after being recommended by least one association phrase described, also comprises:
When receiving the input instruction of specifying phrase, based on described first object phrase and described appointment phrase, the phrase comprised described presetting database, association phrase upgrade with corresponding relation associate between the frequency, and described appointment phrase is the phrase that outside arbitrary association phrase at least one association phrase described or at least one association phrase described, user inputs.
5. the method for claim 1, is characterized in that, described from presetting database, after searching association phrase corresponding to described first object phrase, also comprises:
If do not find and receive the input instruction of the second target phrase, then input described second target phrase, the next target phrase that described second target phrase inputs after being the described first object phrase of input;
Based on described first object phrase and described second target phrase, the phrase comprised described presetting database, association phrase upgrade with the corresponding relation associated between the frequency.
6. method as claimed in claim 5, is characterized in that, described based on described first object phrase and described second target phrase, and the phrase comprised described presetting database, association phrase upgrade with the corresponding relation associated between the frequency, comprising:
Described second target phrase is defined as the association phrase of described first object phrase;
Arrange and associate the frequency between described first object phrase with described second target phrase, obtain the first association frequency;
Described first object phrase, described second target phrase are associated the frequency with described first, is stored in phrase that described presetting database comprises, association phrase with the corresponding relation associated between the frequency.
7. a phrase recommendation apparatus, is characterized in that, described device comprises:
First load module, for when receiving the input instruction of first object phrase, inputs described first object phrase;
Search module, for from presetting database, search the association phrase that described first object phrase is corresponding, described presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency;
Acquisition module, if for finding, then based on described first object phrase, from described presetting database, obtain at least one association phrase with described at least one associate the association frequency corresponding to phrase;
Recommending module, for based on the association frequency corresponding at least one association phrase described, recommends at least one association phrase described.
8. device as claimed in claim 7, it is characterized in that, described recommending module comprises:
First recommending module, for according to association frequency order from big to small corresponding at least one association phrase described, recommends at least one association phrase described.
9. device as claimed in claim 7, it is characterized in that, described recommending module comprises:
Select module, for the association frequency based at least one association phrase described, from least one association phrase described, select the association frequency to be greater than the association phrase of the first frequency threshold value;
Second recommending module, for according to association frequency order from big to small corresponding to association phrase selected, recommends the association phrase of described selection.
10. the device as described in claim as arbitrary in claim 7-9, is characterized in that, described device also comprises:
First update module, for when receiving the input instruction of specifying phrase, based on described first object phrase and described appointment phrase, the phrase comprised described presetting database, association phrase upgrade with corresponding relation associate between the frequency, and described appointment phrase is the phrase that outside arbitrary association phrase at least one association phrase described or at least one association phrase described, user inputs.
11. devices as claimed in claim 7, it is characterized in that, described device also comprises:
Second load module, if for not finding and receiving the input instruction of the second target phrase, then input described second target phrase, the next target phrase that described second target phrase inputs after being the described first object phrase of input;
Second update module, for based on described first object phrase and described second target phrase, the phrase comprised described presetting database, association phrase upgrade with the corresponding relation associated between the frequency.
12. devices as claimed in claim 11, it is characterized in that, described second update module comprises:
Determination module, for being defined as the association phrase of described first object phrase by described second target phrase;
Module is set, associates the frequency for arranging between described first object phrase with described second target phrase, obtaining the first association frequency;
Memory module, for described first object phrase, described second target phrase are associated the frequency with described first, is stored in phrase that described presetting database comprises, association phrase with the corresponding relation associated between the frequency.
13. 1 kinds of phrase recommendation apparatus, is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
When receiving the input instruction of first object phrase, input described first object phrase;
From presetting database, search the association phrase that described first object phrase is corresponding, described presetting database comprises phrase, association phrase and the corresponding relation associated between the frequency;
If found, then based on described first object phrase, from described presetting database, obtain at least one association phrase with described at least one associate the association frequency corresponding to phrase;
Based on the association frequency that at least one association phrase described is corresponding, at least one association phrase described is recommended.
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Application publication date: 20151209 |