CN106302085A - The recommendation method and system of instant messaging group - Google Patents
The recommendation method and system of instant messaging group Download PDFInfo
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- CN106302085A CN106302085A CN201510254173.0A CN201510254173A CN106302085A CN 106302085 A CN106302085 A CN 106302085A CN 201510254173 A CN201510254173 A CN 201510254173A CN 106302085 A CN106302085 A CN 106302085A
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Abstract
The present invention relates to the recommendation method and system of a kind of instant messaging group, described method comprises the steps: to receive the operation information of user；Analyze described operation information and determine the classification of described operation information；Searching the instant messaging group with described categorical match, the classification of described instant messaging group is for determining by chat content in analyzing group in real time；Described instant messaging group is recommended the recommendation information of described user by output.Described system includes receiver module, analyzes module, lookup module and output module.By analyzing described operation information, the present invention determines that the classification of described operation information is searched the instant messaging group with described categorical match again and recommends user, eliminate loaded down with trivial details search procedure, actively will recommend user with user-dependent instant messaging group, the most convenient.
Description
Technical field
The present invention relates to the communications field, particularly relate to the recommendation method and system of a kind of instant messaging group.
Background technology
Along with the development of society, the speed that the Internet is popularized is increasingly faster, and interpersonal exchange is the most more
Realized by the Internet.Wherein, the Internet service that people are the most frequently used just includes various based on computer, hands
The instant messaging service of the terminal units such as machine, instant messaging services and brings greatly to the liaison of people
Convenient.
Along with quickening and the increase of diversified demand of people's rhythm of life, people always want to obtain rapidly
Oneself information that is interested or that extremely pay close attention to.Specifically show in instant messaging service, it is desirable to fast
Speed ground joins in the group in instant messaging service according to oneself interest or focus, with these groups
People's exchange and interdynamic of common interest or concern are had in the middle of group.In order to find corresponding instant messaging group,
User needs to search one by one by keyword search or by classification, then according to user search condition or
It is that the classification chosen shows satisfactory instant messaging group, operates the most loaded down with trivial details.
Summary of the invention
Based on this, it is necessary to for the problem that the search operation of instant messaging group is loaded down with trivial details, it is provided that a kind of instant
The recommendation method and system of communication group.
A kind of recommendation method of instant messaging group, comprises the steps:
Receive the operation information of user；
Analyze described operation information to determine the classification of described operation information；
Searching the instant messaging group with described categorical match, the classification of described instant messaging group is by reality
Time analyze chat content in group and determine；And
Described instant messaging group is recommended the recommendation information of described user by output.
A kind of commending system of instant messaging group, including:
Receiver module, for receiving the operation information of user；
Analyze module, for analyzing described operation information to determine the classification of described operation information；
Search module, for searching the instant messaging group with described categorical match, described instant messaging group
Classification for being determined by chat content in real time analyzing group；And
Output module, recommends the recommendation information of described user for output by described instant messaging group.
The recommendation method and system of above-mentioned instant messaging group, determine described behaviour by analyzing described operation information
The classification making information is searched the instant messaging group with described categorical match again and recommends user, eliminates numerous
Trivial search procedure, actively will recommend user with user-dependent instant messaging group, the most convenient.Logical
Cross and analyze in real time chat content in group and determine the classification of instant messaging group so that the instant messaging found
In the group that group is recent, chat content is relevant to the classification of operation information and has higher liveness, it can be ensured that
If user adds this instant messaging group, recent chat content has and relevant interior of classification of operation information
Hold, it is to avoid the recent liveness of instant messaging group of recommendation is the highest do not have group chat content or group chat content and
The classification of operation information is uncorrelated, causes recommending mistake or temporarily not acting on.
Accompanying drawing explanation
Fig. 1 is the recommendation method flow diagram of the instant messaging group of an embodiment；
Fig. 2 is the detail flowchart of step S180 in Fig. 1；
Fig. 3 is the recommendation method flow diagram of the instant messaging group of another embodiment；
Fig. 4 is the detail flowchart of step S160 in Fig. 1；
Fig. 5 is the recommendation method flow diagram of the instant messaging group of another embodiment；
Fig. 6 is interface schematic diagram during user's input operation information；
Fig. 7 is to remind user to add the interface schematic diagram recommending group；
Fig. 8 is that user opens the group of display after group notifies prompting frame in Fig. 7 and recommends interface schematic diagram；
Fig. 9 is the commending system structure chart of the instant messaging group of an embodiment；
Figure 10 is the structure chart searching module in Fig. 9；
Figure 11 is the structure chart of output module in Fig. 9；
Figure 12 is the commending system structure chart of the instant messaging group of another embodiment；
Figure 13 is the commending system structure chart of the instant messaging group of another embodiment；
Figure 14 is the module map of the computer system that can realize the embodiment of the present invention.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and reality
Execute example, the present invention is further elaborated.Only should be appreciated that specific embodiment described herein
Only in order to explain the present invention, it is not intended to limit the present invention.
The description of specific distinct unless the context otherwise, the element in the present invention and assembly, quantity both can be single
Presented in individual, it is also possible to presented in multiple, this is not defined by the present invention.In the present invention
Although step arranged with label, but be not used to limit the precedence of step, unless specifically
Based on understanding that the order of step or the execution of certain step need other steps, otherwise step is the most secondary
Sequence is adjustable in.It is appreciated that term "and/or" used herein relates to and contains to be associated
One or more of any and all possible combination in Listed Items.
As it is shown in figure 1, the recommendation method of the instant messaging group of an embodiment, including step S120 to step
Rapid S180.
Step S120, receives the operation information of user.The operation information of user can be in instant messaging application
Operation information, such as user has searched for certain key word, Yong Hucan at the lookup panel of instant communication applications
Activity with certain instant messaging application publicity, user issue or answer the group of certain instant messaging application
Topic knitting discussion etc..It addition, the operation information of user can also be not limited in instant communication applications,
As long as can help accurately to judge user preferences, beneficially the behavior of the precision that group is recommended, can receive
Enter in the range of aforesaid operations information, as played game, listening music, web browsing operations etc..The behaviour of user
The information of work can be real-time operation information, it is also possible to for non-real-time operations information.In present embodiment, user
Operation information be real-time operation information, in order to there is more preferable instantaneity, overcome the calculated off line can not be accurate
Grasp user interest changes, it is recommended that excessive cycle, it is recommended that inaccurate problem.
Step S140, analyzes described operation information to determine the classification of described operation information.Classification is predefined
Classification, can be certain sports items, such as football or shuttlecock etc.；It can also be certain specialty skill
Art, such as touch screen technology or photographic head technology etc..Can by the operation information of user is analyzed,
Such as user's input is searched for key word to mate with the key word in predefined classification, as mated into
Merit, then can be defined as the classification that the match is successful by operating information accordingly.It is similar to, plays game, audition
Game name or type, the song title of music or song style Corresponding matching can be passed through to corresponding class time happy
Not.Except by analyze described operation information to determine the classification of described operation information in addition to, it is also possible to be aided with
The big data analysis of user-association, more accurately determines the classification of described operation information.The big number of user-association
Can be to be analyzed user's relation chain data on the internet according to analyzing, such as instant messaging good friend be closed
Tethers data, forum's friend relation chain data etc., the most true according to the good friend's hobby in relation chain
The classification of fixed described operation information；The big data analysis of user-association can also is that user is had been added to i.e.
Time communication group in the network behavior of member be analyzed or the network behavior of the good friend of user carried out point
Analysis etc. more accurately determines the classification of described operation information.I.e. analyze described operation information to determine described operation
In step S140 of the classification of information, both can be only to analyze operation information directly to determine described operation information
Classification, it is also possible to be to analyze operation information and determine the classification of described operation information with the big data of user-association.
Step S160, searches the instant messaging group with described categorical match.
After the classification of operation information determines, directly can search and described classification phase according to the classification of operation information
The instant messaging group of coupling.The operation information category of such as user is analyzed as hobby science fiction electricity through step S140
Shadow, the most directly searches the instant messaging group relevant to science fiction movies.The classification of instant messaging group can be led to
Cross and analyze existing instant messaging group, determine the classification of existing instant messaging group.Such as by real time
In analyzing group, chat content determines.Instant messaging group is determined by chat content in analyzing group in real time
Classification so that in the group that the instant messaging group that finds is recent, chat content is relevant to the classification of operation information
And have higher liveness, it can be ensured that if user adds this instant messaging group, recent chat content
There is the content relevant to the classification of operation information, it is to avoid the recent liveness of instant messaging group of recommendation is the highest not to be had
The classification of what group chat content or group chat content and operation information is uncorrelated, causes recommending mistake or temporarily not having
There is effect.Furthermore it is also possible to by user in analysis cluster label, group type, group's brief introduction and group
Main interest in one or more determine the classification of instant messaging group, analyzed by these, introduce more
Many reference factors improve the accuracy that the classification of instant messaging group determines further.Due to timely communication group
The quantity of group is the hugest, therefore chat content in group, cluster label, group type, group's brief introduction and
The data volume that in group, the main interest of user relates to will be the hugest, can use big data analysis
Method.
Step S180, described instant messaging group is recommended the recommendation information of described user by output.Such as may be used
With by the message hurdle Pop-up message of instant communication applications, and provide instant messaging group brief of recommendation
Whether information, such as cluster label, group type, group's brief introduction etc., for reference add.Concrete next
Say, as in figure 2 it is shown, step S180 can include step S182 and step S184.
Step S182, sets up the push channel of service end and client real time propelling movement.By push channel, can
With real-time by the information pushing of service end to client.User can also like or not like by Real-time Feedback
Recommend group.
Step S184, recommends the recommendation of described user by described push channel by described instant messaging group
Information sends to client and activates client prompting user.Such as can remind user by red dot system,
One on the most current mobile phone of red dot system can remind by force user, allows user's perception have new recommending data to send
The system reached, can remind user by modes such as prompt tone, display lamp or screen show.
The recommendation method of above-mentioned instant messaging group, determines described operation information by analyzing described operation information
Classification search the instant messaging group with described categorical match again and recommend user, eliminate loaded down with trivial details searching
Rope process, actively will recommend user with user-dependent instant messaging group, the most convenient.
As it is shown on figure 3, the recommendation method of the instant messaging group of another embodiment also includes step S130: obtain
Take the positional information at family.The positional information of user can be according to the IP address of user or GPS longitude and latitude etc.
Determine.Now, above-mentioned steps S160 be specially search mate with described classification and described positional information be
Time communication group.I.e. by present embodiment, it is possible not only to find the instant messaging group of categorical match,
The instant messaging group that position is same or like can also be found, such as same city or same area
Instant messaging group.
It addition, in step S160, after determining except the classification of operation information, according to the classification of this operation information
Directly searching outside the instant messaging group matched with described classification, it is also possible to as shown in Figure 4, another is implemented
In the recommendation method of the instant messaging group of example, step S160 includes that step S162 is to step S164.
Step S162, sets up the category table of described operation information and the classification for corresponding operating information is given a mark.Example
There are the classifications such as shuttlecock, Hollywood movie, tourism, security as operated the classification of information, these classifications are built
Vertical form, if the classification of the operation information determined after often performing step S140 is not in the class of operation information
In other table, then can create the classification of corresponding operating information；The operation determined after often performing step S140
If the classification of information in the category table of operation information, then can increase the classification of corresponding operating information
Mark.If it is to say, user is the most with generic operation information, the category score of corresponding operating information is more
High.
Step S164, the mark obtained according to marking selects the classification of the operation information in category table, and searches
The instant messaging group matched with described classification.Concrete, the behaviour that in category table, score is forward can be selected
Making the classification of information, the quantity of selection can be a classification or two classifications etc..It addition, in order to avoid often
The classification of the instant messaging group of secondary lookup is the most identical, can meet pre-provisioning request (such as ranking in score
Top 10) classification in randomly choose, ranking is the most forward, and selected probabilistic settings must be the highest.
By step S162 and S164, user's different operating can be obtained according to the classification of the operation information of user
The interest list of information correspondence classification, and the interest of user is ranked up, in conjunction with age of user, behavior
Etc. the change of condition, position the hobby of user accurately, make the more sample of instant messaging group of recommendation,
The instant messaging group that user is not concerned with will not be recommended because of the most random operation information of user.
As it is shown in figure 5, in the recommendation method of the instant messaging group of another embodiment, also include step S192
To step S196.
Step S192, it is judged that whether user adds the described instant messaging group of recommendation for described recommendation information.
Step S194, if user adds the described instant messaging group of recommendation, then increases corresponding operating information
The mark of classification.If user adds the instant messaging group of recommendation, the instant messaging group recommended is described
Welcome by user, the mark of the classification of corresponding operating information can be increased, in order to next time recommends similar again
Instant messaging group.
Step S196, if user refuses to add the described instant messaging group recommended, then reduces corresponding operating
The mark of the classification of information.If user refuses to add the instant messaging group recommended, the instant of recommendation is described
Communication group is the most popular with users, it is possible to reduce the mark of the classification of corresponding operating information, reduces recommendation more same
The probability of the instant messaging group of class so that recommendation effect more agrees with user.
Below in conjunction with the concrete schematic diagram shown in Fig. 6, Fig. 7 and Fig. 8, approach described above is made the most in detail
Describe in detail bright.As shown in Figure 6, when user to the knowledge in terms of stock interested time, user can input key
Word " stock " also carries out instant communication group group searching, it is thus achieved that " stock ", " stock firm offer recommends group ", " stock side
Platform ", " stock is opened an account ", " stock joins money ", " exchange of Shenzhen stock ", " stock unexpected rival bull market stock invester exchange "
Recommending group etc. N number of stock, these stock recommends group to be respectively provided with different functions, such as has plenty of help and opens an account
, offer is provided and selects stocks technology, have plenty of help everybody exchange study etc., these instant messagings
In the middle of group, only part may meet the selection of user.The operation letter of the search instant messaging group containing " stock "
Breath indicates the interest place of user.This operation of user can be received by step S120 of said method
Information.After receiving the operation information of the search instant messaging group containing " stock ", by the step of said method
S140 can analyze this operation information to determine the classification of its correspondence, the classification that " stock " this key word is corresponding
Can be the classifications such as investment, security, these classifications such as security, investment can predefine in advance.When really
When determining the classification searching for the operation information of the instant messaging group containing " stock ", can be using " stock " as key word
Contrast with lower comprised key word of all categories, thus judge the search instant messaging group containing " stock "
The classification belonging to operation information correspondence, such as determine that it is security classification.Determine that search contains the instant of " stock "
After the classification of the operation information of communication group is security classification, according to step S160, search and security classification
The instant messaging group joined.Present in network, substantial amounts of instant messaging group can be true by big data analysis
Its classification fixed, the instant messaging group wherein belonging to security classification will be obtained by lookup by step S160, with
Export recommendation information by step S180 afterwards, the instant messaging group of security classification is recommended described user.
It is appreciated that the instant messaging group recommended here can be the some or all of IMU under respective classes
News group.As it is shown in fig. 7, step S180 output recommendation information can send the shape of group's notice with red dot system
Formula, reminds 4 the stock groups recommending user, and user opens group's notice, can show this 4 stock groups,
As shown in Figure 8, these 4 stock groups may be " Shenzhen stock under battle conditions exchange ", " stock opens commission 10,003 ",
" stock market's investigation and analysis academy " and " stock market's ATM-A-share stock in America ".Now, user can select to add this
In 4 groups any one or multiple.
Each technical characteristic of embodiment described above can combine arbitrarily, for making description succinct, the most right
The all possible combination of each technical characteristic in above-described embodiment is all described, but, if these skills
There is not contradiction in the combination of art feature, is all considered to be the scope that this specification is recorded.
As it is shown in figure 9, be the commending system of the instant messaging group of an embodiment, including receiver module 120,
Analyze module 140, search module 160 and output module 180.
Receiver module 120 is for receiving the operation information of user.The operation information of user can be instant messaging
Operation information in application.The operation information of user can be that user searches at the lookup panel of instant communication applications
Certain key word of rope, user take part in the activity of certain instant messaging application publicity, user issues or answers
Topic organized a discussion of certain instant messaging application etc..It addition, the operation information of user can not also
Being limited in instant communication applications, as long as can help accurately to judge user preferences, beneficially group is recommended
The behavior of precision, can bring in the range of aforesaid operations information, as played game, listening music, net
Page browsing operation etc..The operation information of user can be real-time operation information, it is also possible to believes for non-real-time operations
Breath.In present embodiment, the operation information of user is real-time operation information, in order to have more preferable instantaneity,
Calculated off line is overcome can not accurately to grasp user interest change, it is recommended that excessive cycle, it is recommended that inaccurate problem.
Analyze module 140 for analyzing described operation information to determine the classification of described operation information.Classification is
Predefined classification, can be certain sports items, such as football or shuttlecock etc.；Can also be certain
Professional technique, such as touch screen technology or photographic head technology etc..Can be by the operation information of user be entered
Row is analyzed, such as, user's input is searched for key word and mate with the key word in predefined classification,
As the match is successful, then can be defined as the classification that the match is successful by operating information accordingly.It is similar to, plays trip
Play, can be arrived by game name or type, the song title of music or song style Corresponding matching when listening music
Corresponding classification.Analyze module 140 except can by analyze described operation information with determine described operation letter
Outside the classification of breath, it is also possible to be aided with the big data analysis with user-association, more accurately determine described operation letter
The classification of breath.The big data analysis of user-association can be to carry out user's relation chain data on the internet
Analyzing, such as instant messaging friend relation chain data, forum's friend relation chain data etc., according in relation chain
Good friend's hobby more accurately determine the classification of described operation information；The big data analysis of user-association is also
Can be in the instant messaging group that user is had been added to the network behavior of member be analyzed or to
The network behavior of the good friend at family is analyzed etc. more accurately determining the classification of described operation information.I.e. analyze mould
Block 140 analyzes described operation information to determine the classification of described operation information, both can be only to analyze operation letter
Breath directly determines the classification of described operation information, it is also possible to be to analyze operation information and the big number with user-association
According to the classification determining described operation information.
Search module 160 for searching the instant messaging group with described categorical match.
In one embodiment, after the classification of operation information determines, searching module 160 can be according to operation information
Classification directly search the instant messaging group of the classification that matches.The operation information category of such as user is through analyzing
Module 140 is analyzed as hobby science fiction movies, the instant messaging group that the most directly lookup is relevant to science fiction movies.
The classification of instant messaging group can determine existing instant messaging by analyzing existing instant messaging group
The classification of group.Such as determined by chat content in analyzing group in real time.By chatting in analyzing group in real time
It content determines the classification of instant messaging group so that chat in the group that the instant messaging group that finds is recent
Content is relevant and have higher liveness to the classification of operation information, it can be ensured that if to add this instant for user
Communication group, recent chat content has and the relevant content of classification of operation information, it is to avoid recommendation instant
The highest classification not phase not having group chat content or group chat content and operation information of the recent liveness of communication group
Close, cause recommending mistake or temporarily not acting on.Can also be by analyzing group it addition, search module 160
In label, group type, group's brief introduction and group, one or more in the main interest of user determine immediately
The classification of communication group, is analyzed by these, introduces more reference factor and improve instant communication group further
The accuracy that the classification of group determines.Owing to the quantity of timely communication group is the hugest, therefore chat in group
The data that in content, cluster label, group type, group's brief introduction and group, the main interest of user relates to
Amount will be the hugest, the method that can use big data analysis.
In another embodiment, as shown in Figure 10, search module 160 to include giving a mark unit 162 and searching list
Unit 164.
Marking unit 162 is beaten for setting up the category table of described operation information the classification for corresponding operating information
Point.The classification such as operating information has the classifications such as shuttlecock, Hollywood movie, tourism, security, by these
Classification sets up form, if analyzing the classification of the operation information that module 140 determines not in the classification of operation information
In table, then marking unit 162 can create the classification of corresponding operating information；Analyze the behaviour that module 140 determines
If making the classification of information in the category table of operation information, then marking unit 162 can increase accordingly
The mark of the classification of operation information.If it is to say, user is the most with generic operation information, corresponding operating is believed
The category score of breath is the highest.
Search unit 164 and select the classification of the operation information in category table for the mark obtained according to marking,
And search the instant messaging group matched with described classification.Concrete, score in category table can be selected to lean on
The classification of front operation information, the quantity of selection can be a classification or two classifications etc..It addition, in order to
Avoid the classification of instant messaging group every time searched the most identical, pre-provisioning request (example can be met in score
Such as ranking top 10) classification in randomly choose, ranking is the most forward, and selected probabilistic settings must be the highest.
By marking unit 162 and lookup unit 164, can be used according to the classification of the operation information of user
The interest list of family different operating information correspondence classification, and the interest of user is ranked up, in conjunction with user
The change of the condition such as age, behavior, positions the hobby of user accurately, makes the instant communication group of recommendation
Organize more diversified, will not recommend, because of the most random operation information of user, the instant messaging that user is not concerned with
Group.
Described instant messaging group is recommended the recommendation information of described user by output module 180 for output.
Such as by the message hurdle Pop-up message in instant communication applications, and the instant messaging group of recommendation can be provided
Brief information, such as cluster label, group type, group's brief introduction etc., for reference whether add.
Specifically, as shown in figure 11, output module 180 includes Path Setup unit 182 and push unit 184.
Path Setup unit 182 is for setting up the push channel of service end and client real time propelling movement.By pushing away
Send passage, can be real-time by the information pushing of service end to client.User can also Real-time Feedback whether
Like, or do not like recommendation group.
Push unit 184 is for recommending described user by described push channel by described instant messaging group
Recommendation information send to client and activate client remind user.Such as can be reminded by red dot system
User, the one on the most current mobile phone of red dot system can be reminded by force user, be allowed user's perception have new recommendation
The system that data are sent to, can remind user by modes such as prompt tone, display lamp or screen show.
The commending system of above-mentioned instant messaging group, determines described operation information by analyzing described operation information
Classification search the instant messaging group with described categorical match again and recommend user, eliminate loaded down with trivial details searching
Rope process, actively will recommend user with user-dependent instant messaging group, the most convenient.
It addition, as shown in figure 12, the commending system of the instant messaging group of another embodiment also includes that position is believed
Breath acquisition module 130.Position information acquisition module 130 is for obtaining the positional information of user.The position of user
Information can determine according to the IP address of user or GPS longitude and latitude etc..Now, module 160 is searched
The instant messaging group mated with described classification and described positional information for lookup.I.e. by present embodiment,
Be possible not only to find the instant messaging group of categorical match, it is also possible to find position same or like i.e.
Time communication group, such as same city or same area instant messaging group.
It addition, as shown in figure 13, the commending system of the instant messaging group of another embodiment also includes judging mould
Block 192, add sub-module 194 and deduction module 196.
Judge module 192 is for judging whether user adds the described IMU of recommendation for described recommendation information
News group.
When adding sub-module 194 for adding the described instant messaging group of recommendation user, increase corresponding operating
The mark of the classification of information.If user adds the instant messaging group of recommendation, the instant messaging recommended is described
Group is welcome by user, can increase the mark of the classification of corresponding operating information, in order to recommend next time same again
The instant messaging group of class.
Deduction module 196, for when user refuses to add the described instant messaging group recommended, reduces corresponding
The mark of the classification of operation information.If user refuses to add the instant messaging group recommended, recommendation is described
Instant messaging group is the most popular with users, it is possible to reduce the mark of the classification of corresponding operating information, reduces and pushes away
Recommend the probability of similar instant messaging group so that recommendation effect more agrees with user.
Figure 14 is the module map of the computer system 1000 that can realize the embodiment of the present invention.This computer
The example of a system 1000 simply computer environment being applicable to the present invention, it is impossible to be considered to propose this
Any restriction of the range of invention.Computer system 1000 can not be construed to need to rely on or have
The combination of the one or more parts in the exemplary computer system 1000 of diagram.
Computer system 1000 shown in Figure 14 is the example of a computer system being suitable for the present invention
Son.Other framework with different sub-systems configuration can also use.Such as have the most well known desktop computer,
The similar devices such as notebook, personal digital assistant, smart phone, panel computer go for the present invention's
Some embodiments.But it is not limited to equipment enumerated above.
As shown in figure 14, computer system 1000 includes processor 1010, memorizer 1020 and system bus
1022.Various system components including memorizer 1020 and processor 1010 are connected to system bus 1022
On.Processor 1010 be one for performing meter by arithmetic sum logical operations basic in computer system
The hardware of calculation machine programmed instruction, can perform to comprise the instruction of the recommendation method of above instant messaging group.Deposit
Reservoir 1020 be one for storing calculation procedure or data (such as, program state information) temporarily or permanently
Physical equipment, can store in the recommendation method of above instant messaging group produce intermediate data etc..Place
Reason device 1010 and memorizer 1020 can carry out data communication by system bus 1022.Wherein memorizer 1020
Including read only memory (ROM) or flash memory (in figure the most not shown), and random access memory (RAM),
RAM typically refers to be loaded with the main storage of operating system and application program.
Computer system 1000 also includes showing interface 1030 (such as, Graphics Processing Unit), display device
1040 (such as, liquid crystal displays), audio interface 1050 (such as, sound card) and audio frequency apparatus 1060
(such as, speaker).Display device 1040 and audio frequency apparatus 1060 are the matchmakers for experiencing content of multimedia
Body equipment.Display device 1040 can show the interface as shown in Fig. 6, Fig. 7, Fig. 8.
Computer system 1000 generally comprises a storage device 1070.Storage device 1070 can be from multiple
Selecting in computer-readable medium, computer-readable medium refers to pass through what computer system 1000 access
Any available medium, including movement and fixing two media.Such as, computer-readable medium bag
Include but be not limited to, flash memory (miniature SD card), CD-ROM, digital versatile disc (DVD) or
Other optical disc storage, cartridge, tape, disk storage or other magnetic storage apparatus, or can be used for storing
Information needed other medium any that can be accessed by computer system 1000.
Computer system 1000 also includes input equipment 1080 and input interface 1090 (such as, I/O control).
User can pass through input equipment 1080, such as the touch panel equipment in keyboard, mouse, display device 1040,
Input instruction and information are in computer system 1000.In example as escribed above, user can pass through keyboard
Input " stock " also sends, by click, the operation information that search contains the instant messaging group of " stock ".Input
Device 1080 is connected on system bus 1022 typically by input interface 1090 but it also may pass through
Other interface or bus structures are connected, such as USB (universal serial bus) (USB).
Computer system 1000 can carry out logic with one or more network equipment in a network environment and be connected.
The network equipment can be PC, server, router, smart phone, panel computer or other public affairs
Network node altogether.Computer system 1000 is by LAN (LAN) interface 1100 or mobile communication list
Unit 1110 is connected with the network equipment.Mobile comm unit 1110 can move in a wide geographic area
While answered by radio communication diagram and call.In addition to call, mobile comm unit 1110
Also support to carry out internet access in 2G, 3G or the 4G cellular communication system that mobile data service is provided.
As detailed above, it is adaptable to the computer system 1000 of the present invention can perform instant messaging group
The assigned operation of recommendation method.Computer system 1000 operates in computer-readable by processor 1010
The form of the software instruction in medium performs these operations.These software instructions can be from storage device 1070
Or it is read into memorizer 1020 from another equipment by lan interfaces 1100.It is stored in memorizer 1020
In software instruction make processor 1010 perform the recommendation method of above-mentioned instant messaging group.Additionally, it is logical
Cross hardware circuit or hardware circuit combines software instruction and also can realize the present invention equally.Therefore, it is achieved this
Bright it is not limited to any specific hardware circuit and the combination of software.
Embodiment described above only have expressed the several embodiments of the present invention, and it describes more concrete and detailed,
But therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that, for this area
Those of ordinary skill for, without departing from the inventive concept of the premise, it is also possible to make some deformation and
Improving, these broadly fall into protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be with appended
Claim is as the criterion.
Claims (18)
1. the recommendation method of an instant messaging group, it is characterised in that comprise the steps:
Receive the operation information of user；
Analyze described operation information to determine the classification of described operation information；
Searching the instant messaging group with described categorical match, the classification of described instant messaging group is by reality
Time analyze chat content in group and determine；And
Described instant messaging group is recommended the recommendation information of described user by output.
The recommendation method of instant messaging group the most according to claim 1, it is characterised in that described use
The operation information at family is real-time operation information.
The recommendation method of instant messaging group the most according to claim 1, it is characterised in that described use
The operation information at family is the operation information in instant messaging application.
The recommendation method of instant messaging group the most according to claim 1, it is characterised in that also by
One or more in the main interest of user in analysis cluster label, group type, group's brief introduction and group
Determine the classification of instant messaging group.
The recommendation method of instant messaging group the most according to claim 1, it is characterised in that also include
Obtain the step of the instant messaging group of the step of the positional information of user, described lookup and described categorical match
Specially search the instant messaging group mated with described classification and described positional information.
The recommendation method of instant messaging group the most according to claim 1, it is characterised in that described in look into
When looking for the instant messaging group with described categorical match, directly search and described class according to the classification of operation information
The instant messaging group not matched.
The recommendation method of instant messaging group the most according to claim 1, it is characterised in that described in look into
The step looking for the instant messaging group with described categorical match includes:
Set up the category table of described operation information and the classification for corresponding operating information is given a mark；
The mark obtained according to marking selects the classification of the operation information in category table, and searches and described classification
The instant messaging group matched.
The recommendation method of instant messaging group the most according to claim 7, it is characterised in that also include
Following steps:
Judge whether user adds the described instant messaging group of recommendation for described recommendation information；
If user adds the described instant messaging group of recommendation, then increase corresponding operating information classification point
Number；
If user refuses to add the described instant messaging group recommended, then reduce the classification of corresponding operating information
Mark.
The recommendation method of instant messaging group the most according to claim 1, it is characterised in that described defeated
The step going out the recommendation information that described instant messaging group is recommended described user includes:
Set up the push channel of service end and client real time propelling movement；And
By described push channel, described instant messaging group is recommended the recommendation information transmission of described user extremely
Client also activates client prompting user.
10. the commending system of an instant messaging group, it is characterised in that including:
Receiver module, for receiving the operation information of user；
Analyze module, for analyzing described operation information to determine the classification of described operation information；
Search module, for searching the instant messaging group with described categorical match, described instant messaging group
Classification for being determined by chat content in real time analyzing group；And
Output module, recommends the recommendation information of described user for output by described instant messaging group.
The commending system of 11. instant messaging groups according to claim 10, it is characterised in that described
The operation information of user is real-time operation information.
The commending system of 12. instant messaging groups according to claim 10, it is characterised in that described
The operation information of user is the operation information in instant messaging application.
The commending system of 13. instant messaging groups according to claim 10, it is characterised in that described
Search module also by the main interest of user in analysis cluster label, group type, group's brief introduction and group
In one or more determine the classification of instant messaging group.
The commending system of 14. instant messaging groups according to claim 10, it is characterised in that described
Commending system also includes:
Position information acquisition module, for obtaining the positional information of user；
Described lookup module, when searching the instant messaging group with described categorical match, is specially and searches and institute
State classification and the instant messaging group of described positional information coupling.
The commending system of 15. instant messaging groups according to claim 10, it is characterised in that described
Lookup module includes:
Marking unit, gives a mark for setting up the category table of described operation information the classification for corresponding operating information；
Searching unit, the mark for obtaining according to marking selects the classification of the operation information in category table, and
Search the instant messaging group matched with described classification.
The commending system of 16. instant messaging groups according to claim 15, it is characterised in that described
Commending system also includes:
Judge module, for judging whether user adds the described instant messaging of recommendation for described recommendation information
Group；
Add sub-module, for when user adds the described instant messaging group of recommendation, increase corresponding operating letter
The mark of the classification of breath；
Deduction module, for when user refuses to add the described instant messaging group recommended, reduces corresponding behaviour
Make the mark of the classification of information.
The commending system of 17. instant messaging groups according to claim 10, it is characterised in that described
When searching the instant messaging group with described categorical match, directly search with described according to the classification of operation information
The instant messaging group that classification matches.
The commending system of 18. instant messaging groups according to claim 10, it is characterised in that described
Output module includes:
Path Setup unit, for setting up the push channel of service end and client real time propelling movement；And
Push unit, for recommending described user's by described push channel by described instant messaging group
Recommendation information sends to client and activates client prompting user.
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