CN104394057B - Expression recommends method and device - Google Patents
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- CN104394057B CN104394057B CN201310537415.8A CN201310537415A CN104394057B CN 104394057 B CN104394057 B CN 104394057B CN 201310537415 A CN201310537415 A CN 201310537415A CN 104394057 B CN104394057 B CN 104394057B
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Abstract
The present invention disclose a kind of expression and recommends method and device, in the above method, when user needs to send expression, and the acquisition one or more expressions corresponding with current demand type in the pantomimia according to semantic classification；The one or more of expressions got are sent into column by expression and recommend the user.According to technical scheme provided by the invention, user can be easily found the expression for meeting current demand in chat, time saving and energy saving, so as to substantially increase Consumer's Experience.
Description
Technical field
The present invention relates to the communications field, recommends method and device in particular to a kind of expression.
Background technology
With the development of internet, instant messaging has turned into indispensable network communication mode in people's life.With
Favor of the people to chat tool, it is proposed more and more functions of meeting the needs of different users.
At present, in chat process, when user wants to express itself current mood, language, additional character, or table can be passed through
Feelings etc. assist to express the mood of oneself.Therefore, colourful expression, it is essential when using MSN
's.
However, in correlation technique, the expression of instant chat software sends the expression number recommended in column more and order is mixed and disorderly,
Searched one by one when user sends expression to other side, it is necessary to be gone expression to send in column according to the demand of oneself, using this lookup
Mode, waste time and energy, Consumer's Experience is not high.In addition, in some chat softwares, what is recommended in expression transmission column is all history hair
Expression is sent, user is likely difficult to find the expression of demand at that time, and therefore, in view of the foregoing, the existing expression way of recommendation is urgently
It is to be modified.
The content of the invention
The invention discloses a kind of expression recommend method and device, with least solve user in correlation technique be difficult to find that work as
The expression of preceding demand, the problem of causing Consumer's Experience not high.
According to an aspect of the invention, there is provided a kind of expression recommends method.
Method is recommended to include according to the expression of the present invention：When user needs to send expression, according to the complete of semantic classification
The one or more expressions corresponding with demand type are obtained in portion's expression；The said one got or multiple expressions are passed through
Expression sends column and recommends above-mentioned user.
A kind of according to an aspect of the invention, there is provided expression recommendation apparatus.
Included according to the expression recommendation apparatus of the present invention：Acquisition module, for when user need send expression when, according to
The one or more expressions corresponding with demand type are obtained in the pantomimia of semantic classification；Recommending module, for that will obtain
To said one or multiple expressions by expression send column recommend above-mentioned user.
Pass through the present invention, when user needs to send expression, acquisition and demand in the pantomimia according to semantic classification
The corresponding one or more expressions of type；The said one got or multiple expressions are sent into column by expression to recommend
State user.User can be easily found the expression for meeting current demand in chat, time saving and energy saving, so as to substantially increase use
Experience at family.
Brief description of the drawings
Fig. 1 is the flow chart that expression according to embodiments of the present invention recommends method；
Fig. 2 is the flow chart for recommending method according to the expression of the preferred embodiment of the present invention one；
Fig. 3 is the flow chart for recommending method according to the expression of the preferred embodiment of the present invention two；
Fig. 4 is the structured flowchart of expression recommendation apparatus according to embodiments of the present invention；
Fig. 5 is the structured flowchart according to the expression recommendation apparatus of the preferred embodiment of the present invention one；And
Fig. 6 is the structured flowchart according to the expression recommendation apparatus of the preferred embodiment of the present invention two.
Embodiment
The specific implementation of the present invention is made a detailed description with reference to Figure of description.
Fig. 1 is the flow chart that expression according to embodiments of the present invention recommends method.As shown in figure 1, implemented according to the present invention
The expression of example recommends method to include：
Step S101：When user needs to send expression, obtained in the pantomimia according to semantic classification with currently needing
Seek one or more expressions that type is corresponding；
Step S103：The said one got or multiple expressions are sent into column by expression and recommend above-mentioned user.
In correlation technique, each expression bag that covers is not according to semanteme（That is the finger speech speech meaning or implication etc.）Classified, but
Classified according to animated content, for example, Sponge Bob expression bag, penguin expression bag etc., each set table in these expression bags
Identical semantic expression may all be contained in feelings, for example, all contain the expression of " laughing at ", or all expressions containing " crying " etc.,
And in expression sends column more than the expression number recommended and order is mixed and disorderly, when user sends expression to other side, it is necessary to according to
The demand of oneself goes in expression transmission column to search one by one, using this lookup mode, wastes time and energy, Consumer's Experience is not high.Using
Method shown in Fig. 1, user can be easily found the expression for meeting current demand in chat, time saving and energy saving, so as to significantly
Improve Consumer's Experience.
Preferably, in step S101, one corresponding with demand type is obtained in the pantomimia according to semantic classification
Individual or multiple expressions may further include following processing：
（1）Determine one or more of user's current chat sentence keyword；
（2）The said one or multiple associated with said one or multiple keywords is searched according to predetermined incidence relation
Expression.
During being preferable to carry out, a keyword database can be pre-established.In this keyword database, deposit
Store up one or more keywords according to semantic classification.In user in chat process, by the currently used chat sentence of user
In word（For example, interjection：Heartily, giggle etc., emotion word：Love, disagreeable, indignation etc., simple things：Beer, beverage etc.）
Matched with the keyword in this keyword database, one or more keywords are determined according to matching result.Specifically,
Can be according to user's current chat sentence（Can in short or more words, in specific implementation process, can set
One number of words scope of chat sentence, for example, chat sentence is arranged to the scope within nearest 20 word）One or more words
Matched in keyword database, for example, word：Laugh a great ho-ho, giggle, heartily, glad, happily, laughing at etc. can be with keyword
" laughing at " matches together.
During being preferable to carry out, it is also necessary to pre-establish keyword and the incidence relation of expression.For example, by keyword
" laughing at " and one or more expressions（Such as the expression of smile, the expression of laugh, bad expression laughed at etc.）Associate.Specifically, exist
When " laughing a great ho-ho " occurs in user's current chat sentence, keyword " laughing at " is matched, afterwards according to keyword " laughing at " and one or more
Expression（Such as the expression of smile, the expression of laugh, bad expression laughed at etc.）Incidence relation, obtain the expression of this group " laughing at ".
Preferably, in step S101, one corresponding with demand type is obtained in the pantomimia according to semantic classification
Individual or multiple expressions can also include following processing：
（1）The first operation of user is responded, the various classification informations according to semantic classification are presented；
When user need send expression when, client determine user to expression send column operation, for example, clicking operation or
Mouse is moved to expression and sends the operation on column etc., will be presented to user according to the various classification informations of semantic classification.This classification
The appearance form of information can be word or image.
For example, being classified in advance according to semanteme to institute's espressiove, classification has " laughing at ", " crying ", " indignation " etc.,
So when user clicks table feelings send column, the text information for including various classification informations can be showed to user.
（2）The second operation of user is responded, obtains the corresponding one or more expressions of the classification information of user's selection.
For example, if user is currently needed for using the expression related to " laughing at ", user classifies to " laughing at " in classification information
Clicked on, then the one or more expressions corresponding with " laughing at " are presented to user（As the expression of smile, the expression of laugh are bad
Expression laughed at etc.）.
Preferably, if locally not getting the one or more expressions corresponding with demand type, can wrap
Include following processing：
（1）Expression bag is presented and downloads interface；
（2）The down operation of above-mentioned user is responded, the expression bag that the user needs to download is downloaded to local.
After the expression bag for needing to download by the user is downloaded to local, following processing can also be included：When user needs
When sending expression, the one or more expressions associated with the demand type are obtained in the local expression of renewal.
During being preferable to carry out, if user is currently needed for sending expression, either according to keyword and the pass of expression
Join Relation acquisition expression, obtain expression according further to selection of the user to classification information, there may exist situations below：Obtain
To expression have locally stored, but also have storage on the server, the expression being locally stored can be directly by the expression
User is presented to, and stores expression on the server, the chained address related to the expression can be presented to user, user
This link is clicked on, then expression bag is presented and downloads interface, user is determined after downloading, and can own related to that need to download expression
Expression bag is downloaded to local.When user needs to send expression next time, the expression can be obtained in the expression of local update,
And directly recommending user from the expression locally got.
As can be seen here, by the down operation of user, the expression being locally stored will be more and more, subsequently directly from local
The expression for getting and being presented directly to user also can be more and more, are effectively improved Consumer's Experience.
Further above-mentioned preferred embodiment is illustrated below in conjunction with Fig. 2 and Fig. 3.
Fig. 2 is the flow chart for recommending method according to the expression of the preferred embodiment of the present invention one.As shown in Fig. 2 the expression pushes away
Recommending method includes following processing：
Step S201：, it is necessary to send expression in chat process, send column to expression operates user（For example, click on
Operation）.Terminal response is in the operation of user, by the nearest predetermined number of words of user's current chat sentence（For example, 20 words）Within
Word is matched with the keyword in keyword database, it is determined that one or more keywords.For example, user has used " toot
Toot ", it is determined that keyword is " crying ".
Step S203：According to the incidence relation of predetermined keyword and expression, it is related to obtain the above-mentioned keyword matched
One or more expressions of connection.For example, keyword is " crying ", " will cry " before associates with multiple expressions, these
There are the expression of " shedding tears ", the expression also " wailed " in expression.Wherein, the expression " shed tears " has been downloaded to local, " wailing "
Expression is not downloaded to local.
Step S205：The expression that this ground obtains is presented directly to user, and by the expression bag stored on server
Peer link address, is also presented to user.For example, the expression of " shedding tears " is presented directly to user, " the wailing " do not downloaded
The chained address of expression bag where expression is also presented to user.
Step S207：The down operation of user is responded, the expression bag that the user needs to download is downloaded to local.For example,
The chained address of expression bag where the expression of user's click " wailing ", expression bag is presented and downloads interface, user determines to download, whole
Expression bag where the expression of " wailing " is downloaded to local by end.
When user needs to send expression again in chat process, return and perform step S201.It should be noted that by
Expression in local has been updated over, it is necessary to obtain one or more associated with the demand type in the expression of local update
Individual expression is presented directly to above-mentioned user.For example, because the expression of " wailing " has been downloaded to local, this is except that can incite somebody to action
The expression of " shedding tears ", which is presented to, uses open air, the expression of " wailing " directly can also be presented directly into user.
Fig. 3 is the flow chart for recommending method according to the expression of the preferred embodiment of the present invention two.As shown in figure 3, the expression pushes away
Recommending method includes following processing：
Step S301：, it is necessary to send expression in chat process, send column to expression operates user（For example, click on
Operation）.In the operation of user the various classification informations according to semantic classification are presented, for example, multiple classification are presented in terminal response
Frame, word is presented in each classfying frame, occurs occurring text in word " laughing at ", another classfying frame for example, having in individual classfying frame
Word " crying " etc.；Or multiple classfying frames are presented, image is presented in each classfying frame, occurs one kind in individual classfying frame for example, having
Occurs expression of a kind of " crying " etc. in the expression of " laughing at ", another classfying frame.
Step S303：User selects certain a kind of classification information according to the demand of oneself.For example, user needs to send " laughing at "
Expression, classification information " laughing at " can be found in classfying frame and is clicked on.Terminal response user operates, and obtains user selection
Demand type（For example, laugh at）Corresponding one or more expressions.There is the expression of " smile " in these expressions, also " laugh "
Expression, also have the expression of " bad laugh at ".Wherein, " smile " and the expression of " laugh " have been downloaded to local, and the expression of " bad to laugh at " is not
It is downloaded to local.
Step S305：The expression that this ground obtains is presented directly to user, and by the expression bag stored on server
Peer link address, is also presented to user.For example, the expression of " smile " and the expression of " laugh " is presented directly to user, not
The chained address of expression bag where the expression of " bad to laugh at " downloaded also is presented to user.
Step S307：The down operation of user is responded, the expression bag that the user needs to download is downloaded to local.For example,
The chained address of expression bag where the expression of user's click " bad to laugh at ", expression bag is presented and downloads interface, user determines download, eventually
Expression bag where the expression of " bad to laugh at " is downloaded to local by end.
When user needs to send expression again in chat process, return and perform step S301.It should be noted that by
Expression in local has been updated over, it is necessary to obtain one or more associated with the demand type in the expression of local update
Individual expression is presented directly to above-mentioned user.For example, because the expression of " go bad and laugh at " has been downloaded to local, this is except that can incite somebody to action
" smile " and the expression of " laugh ", which are presented to, uses open air, directly also can also be presented directly to use together by the expression of " bad to laugh at "
Family.
Fig. 4 is the structured flowchart of expression recommendation apparatus according to embodiments of the present invention.As shown in figure 4, the expression recommends dress
Putting to include：Acquisition module 40, for when user needs to send expression, being obtained in the pantomimia according to semantic classification
The one or more expressions corresponding with current demand type；Recommending module 42, for by the said one got or multiple
Expression sends column by expression and recommends above-mentioned user.
Because pantomimia has obtained according to semantic classification, acquisition module 40 in the pantomimia according to semantic classification
The one or more expressions corresponding with current demand type, thus user can be easily found in chat and meet current need
The expression asked, it is time saving and energy saving, so as to substantially increase Consumer's Experience.
Preferably, as shown in figure 5, acquisition module 40 may further include：Determining unit 400, for determining that user works as
One or more of preceding chat sentence keyword；First acquisition unit 402, for according to predetermined incidence relation obtain with
State the associated said one of one or more keywords or multiple expressions.
Preferably, as shown in fig. 6, acquisition module 40 can further include：Display unit 404, for responding user
First operation, the various classification informations according to semantic classification are presented；Second acquisition unit 406, for responding the second of user
Operation, obtain the corresponding one or more expressions of the classification information of user's selection.
Preferably, as shown in Figure 5 or Figure 6, said apparatus can also also include：Module 44 is presented, if do not had locally
The one or more expressions corresponding with current demand type are got, then expression bag download link is presented；Download module 46, use
In the down operation for responding above-mentioned user, the expression bag that the user needs to download is downloaded to local.
Preferably, above-mentioned acquisition module 40, it is additionally operable to, when user needs to send expression, obtain in the local expression of renewal
The one or more expressions associated with current demand type are taken to be presented directly to above-mentioned user.
It should be noted that the preferred embodiment that each module be combined with each other in said apparatus may refer to Fig. 1 to Fig. 3's
Description, here is omitted.
In summary, by above-described embodiment provided by the invention, pantomimia is classified according to semanteme, user is chatting
When can be easily found the expression for meeting current demand, it is time saving and energy saving, so as to substantially increase Consumer's Experience.
Disclosed above is only several specific embodiments of the present invention, and still, the present invention is not limited to this, any ability
What the technical staff in domain can think change should all fall into protection scope of the present invention.
Claims (8)
1. a kind of expression recommends method, it is characterised in that including：
When user needs to send expression, obtained in the pantomimia according to semantic classification corresponding with current demand type
One or more expressions, wherein, one corresponding with current demand type is obtained in the pantomimia according to semantic classification
Or multiple expressions include：The first operation of user is responded, the various classification informations according to semantic classification are presented；Respond the of user
Two operations, obtain the corresponding one or more expressions of the classification information of user's selection；
The one or more of expressions got are sent into column by expression and recommend the user.
2. according to the method for claim 1, it is characterised in that obtained in the pantomimia according to semantic classification and current
The corresponding one or more expressions of demand type also include：
Determine one or more of user's current chat sentence keyword；
The one or more of expressions associated with one or more of keywords are obtained according to predetermined incidence relation.
3. method according to claim 1 or 2, it is characterised in that also include：
If not getting the one or more expressions corresponding with current demand type locally, expression bag is presented and downloads
Link；
The down operation of the user is responded, the expression bag that the user needs to download is downloaded to local.
4. according to the method for claim 3, it is characterised in that be downloaded to local in the expression bag for needing to download by the user
Afterwards, in addition to：
When user needs to send expression, one or more associated with current demand type is obtained in the expression of local update
Individual expression is presented directly to the user.
A kind of 5. expression recommendation apparatus, it is characterised in that including：
Acquisition module, for when user needs to send expression, being obtained in the pantomimia according to semantic classification with currently needing
One or more expressions that type is corresponding are sought, wherein, the acquisition module includes：Display unit, for responding the of user
One operation, is presented the various classification informations according to semantic classification；Second acquisition unit, for responding the second operation of user, obtain
Take the corresponding one or more expressions of the classification information of family selection；
Recommending module, the user is recommended for the one or more of expressions got to be sent into column by expression.
6. device according to claim 5, it is characterised in that the acquisition module also includes：
Determining unit, for determining one or more of user's current chat sentence keyword；
First acquisition unit, for according to predetermined incidence relation acquisition is associated with one or more of keywords
One or more expressions.
7. the device according to claim 5 or 6, it is characterised in that also include：
Module is presented, if locally not getting the one or more expressions corresponding with current demand type, presents
Expression bag download link；
Download module, for responding the down operation of the user, the expression bag that the user needs to download is downloaded to local.
8. device according to claim 7, it is characterised in that
The acquisition module, it is additionally operable to when user needs to send expression, acquisition and current demand in the local expression of renewal
The associated one or more expressions of type are to be presented directly to the user.
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| CN201310537415.8A CN104394057B (en) | 2013-11-04 | 2013-11-04 | Expression recommends method and device |
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| CN201310537415.8A CN104394057B (en) | 2013-11-04 | 2013-11-04 | Expression recommends method and device |
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| CN106789543A (en) * | 2015-11-20 | 2017-05-31 | 腾讯科技（深圳）有限公司 | The method and apparatus that facial expression image sends are realized in session |
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