CN104572866B - Customer relationship chain acquisition methods and device - Google Patents
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Abstract
The invention discloses a kind of customer relationship chain acquisition methods and devices.In the above-mentioned methods, it for each user, counts in the public domain that active user enters to schedule, the one-to-one interactive degree between intersection degree and active user and non-good friend between above-mentioned active user and other each users；The intersection degree and interactive degree that count on are integrated, the corresponding multiple data of active user are obtained；The multiple data got are excavated and analyzed, the relation chain of above-mentioned active user is obtained.The technical solution provided according to the present invention, data that treated can both measure the relationship between the user added as a friend, can also measure the relationship between the user not added as a friend, and data can excavate deeper customer relationship chain according to treated.
Description
Technical field
The present invention relates to the communications fields, in particular to a kind of customer relationship chain acquisition methods and device.
Background technique
With the continuous improvement of people's living standards, requirement of the people to quality of the life is higher and higher.In this electronics and
The epoch of communication technology high speed development, majority carry out exchange activity, such as QQ or wechat etc. by various social softwares.
In current social software, the interaction heat of a current family of specific score table and the user good friend can be passed through
Degree, i.e. cohesion.The score value of cohesion is mainly calculated from the following aspects: intersection, the exchanging visit behavior, list of personal information
To interaction, common participation.Wherein, personal information refers to: education/work experience, year of birth generation, constellation/blood group, local/location,
Common friend/group's number；Exchanging visit behavior refers to: within one month, user accesses good friend (or good friend accesses me) space or hair
The number of the content of table, is calculated as unit of day；One-way interaction refers to: within one month, user to good friend deliver content into
Capable comment/reply is praised, forwarding behavior.Common to participate in referring to: within one month, user and good friend deliver common friend
Operation is praised in the comment of content/reply.
However, cohesion in the related technology can only embody the interaction temperature between the user added as a friend, statistics
Cohesion data can not measure the relationship between the user not added as a friend, can not also excavate deeper customer relationship
Chain.
Summary of the invention
It is a primary object of the present invention to disclose a kind of customer relationship chain acquisition methods and device, at least to solve correlation
Cohesion in technology can only embody the interaction temperature between the user added as a friend, and the cohesion data of statistics can not weigh
The problem of measuring the relationship between the user not added as a friend, can not also excavating deeper customer relationship chain.
According to an aspect of the invention, there is provided a kind of customer relationship chain acquisition methods.
Customer relationship chain acquisition methods according to the present invention include: for each user, and statistics is worked as to schedule
In the public domain that preceding user enters, intersection degree and active user between above-mentioned active user and other each users with
One-to-one interactive degree between non-good friend；The intersection degree and interactive degree that count on are integrated, it is corresponding to obtain active user
Multiple data；The multiple data got are excavated and analyzed, the relation chain of above-mentioned active user is obtained.
According to another aspect of the present invention, a kind of customer relationship chain acquisition device is provided.
Customer relationship chain acquisition device according to the present invention includes: statistical module, is used for for each user, according to pre-
It fixes time and counts in the public domain that active user enters, the intersection degree between above-mentioned active user and other each users, with
And the one-to-one interactive degree between active user and non-good friend；Integrate module, for the intersection degree and interactive degree counted on into
Row integration obtains the corresponding multiple data of active user；Module is obtained, for the multiple data got to be excavated and divided
Analysis, obtains the relation chain of above-mentioned active user.
Compared with prior art, the embodiment of the present invention has at least the following advantages: with each user-center, radiant type
It counts in the public domain that active user enters, intersection degree and active user between active user and other each users
One-to-one interactive degree between non-good friend；Then the intersection degree and interactive degree that count on are handled and is excavated, obtaining should
The relation chain of active user.Therefore, data that treated can both measure the relationship between the user added as a friend, can also weigh
The relationship between the user not added as a friend is measured, and data can excavate deeper customer relationship according to treated
Chain.
Detailed description of the invention
Fig. 1 is the flow chart of customer relationship chain acquisition methods according to an embodiment of the present invention；
Fig. 2 is the flow chart of customer relationship chain acquisition methods according to the preferred embodiment of the invention；
Fig. 3 is the structural block diagram of customer relationship chain acquisition device according to an embodiment of the present invention；And
Fig. 4 is the structural block diagram of customer relationship chain acquisition device according to the preferred embodiment of the invention.
Specific embodiment
Specific implementation of the invention is made a detailed description with reference to the accompanying drawings of the specification.
Fig. 1 is the flow chart of customer relationship chain acquisition methods according to an embodiment of the present invention.As shown in Figure 1, the user is closed
Tethers acquisition methods include:
Step S101: for each user, counting in the public domain that active user enters to schedule, above-mentioned
The one-to-one interactive degree between intersection degree and active user and non-good friend between active user and other each users；
Step S103: integrating the intersection degree and interactive degree that count on, obtains the corresponding multiple data of active user；
Step S105: the multiple data got are excavated and is analyzed, the relation chain of above-mentioned active user is obtained.
In the related technology, cohesion can only embody the interaction temperature between the user added as a friend, statistics it is intimate
Degree can not also excavate deeper customer relationship chain according to the relationship that can not be measured between the user not added as a friend.And
Using method shown in FIG. 1, data that treated can both measure the relationship between the user added as a friend, can also measure not
The relationship between user added as a friend, and according to treated, data can excavate deeper customer relationship chain.
Preferably, in step s101, in the public domain that above-mentioned statistics active user enters, active user is each with other
Intersection degree between a user may include at least one of:
1, each public domain entered for active user, statistics is in the public domain with active user simultaneously respectively
Other each users intersection time quantum；
For example, can be located simultaneously with counting user A and user B when user A and user B are in chatroom room simultaneously
Time quantum in the room.It is implemented as follows:
Single counts starting point: entering chatroom
Single counts terminal:
1, chatroom is exited；
2, software enters journey；
3, it goes offline；
4, black phone interruption is answered in call；
5, chatroom minimizes backed off after random account.
Numerical statistic object: entering chatroom visitors seats to user A or speaking podium start, between exiting early period, with user A
Exist simultaneously chatroom: each user that audits or make a speech (for example, user B).
2, each public domain entered for active user, statistics is in the public domain with active user simultaneously respectively
Other each users intersection number；
For example, can be located simultaneously with counting user A and user B when user A and user B are in chatroom room simultaneously
Number in the room.
3, for active user enter each public domain, respectively count active user be in the public domain its
The identical behavior intersection amount of his each user.
For example, one week more than 10 hour time, can count other entrance should when user A enters a certain chatroom room
The one week interior each user more than 10 hours in room.
Preferably, the one-to-one interactive degree counted between active user and non-good friend may further include following processing:
The time quantum (such as voice Fancy Match) of one-to-one call between active user and non-good friend；It is a pair of between active user and non-good friend
The time quantum etc. of one instant chat.Below by taking Fancy Match as an example, specific implementation is introduced:
Single counts starting point: user's success enters a matching status with any match pattern
Single counts terminal:
1, single match is hung up by other side；
2, single match actively clicks (hanging up the telephone)；
3, software enters journey；
4, " Fancy Match " function is exited；
5, go offline interruption in call；
6, black phone interruption is answered in call.
Preferably, it can also include following processing after obtaining the corresponding multiple data of active user: detect current
The inquiry operation that user executes the data of one or more users；The inquiry operation for responding above-mentioned active user exports this and looks into
Ask data corresponding to the user that operation is directed to.It, can be by user B i.e. when user A inquires the subscriber data of a certain other users B
It is showed with the relation data of user A, thus convenient for each user goes to inquire the user that (good friend is non-good with other users
Friend) between customer relationship.
Preferably, the multiple data got are excavated and is analyzed in execution step S105, obtain active user's
It can also include following processing after relation chain: in the multiple data got, search the data for being greater than predetermined threshold；It is right
In each data greater than predetermined threshold, judge whether the corresponding user of the data has added as the good friend of above-mentioned active user；?
In the case where the good friend for not adding as above-mentioned active user, the corresponding user of the data is recommended into above-mentioned active user.
That is, a user has been got to measure and closed between the user and other multiple users (good friend or non-good friend)
The data of system can recommend the friend not added as a friend also to user, to be according to the higher data of numerical value in above-mentioned data
User seeks strange fate automatically.
It preferably, can also include following processing after the relation chain that step S105 obtains active user: based on above-mentioned
Relation chain drawing image；Sort operation or the search operation of above-mentioned active user are responded, visualization is presented the sort operation or should
Image corresponding to search operation.
I.e. the visualization of implementation relation chain is searched, and the friend of open relation chain is authorized by user, based on big data
Relationship sightless in reality is drawn out, is visually classified and orient lookup convenient for user.
It should be noted that it is not limited only to above-mentioned application after getting the relation chain of user, it can also be according to relation chain
Realize other function.For example, user experience optimizes, the sequence with the user of oneself relationship allows the more good friends of connection to be located further forward,
It searches more convenient；It realizes that connection is reminded according to relation chain data, consolidates customer relationship chain；It is more frequent multiple good by contacting
The relation chain of friendly user, the intersection that various dimensions go directional lock common, to find possible friend etc..
Above-mentioned preferred embodiment is described further below in conjunction with Fig. 2.
Fig. 2 is the flow chart of customer relationship chain acquisition methods according to the preferred embodiment of the invention.As shown in Fig. 2, the use
Family relation chain acquisition methods mainly include following processing:
Step S201: it for user A, in all chatrooms that timing counting user A enters, is in simultaneously merely with user A
The intersection time quantum of other each users of its room, and the friendship that Fancy Match is chatted between timing counting user A and whole non-good friends
Mutual time quantum.
Step S203: integrating the intersection time quantum and interaction time amount that count on, and it is corresponding multiple to obtain user A
Data, for example, the fate numerical value of user A and user B, the fate numerical value ... of user A and user C, and so on.
Step S205: in the multiple data got, the higher data of fate numerical value is searched, 100 number is greater than
According to judging whether the corresponding user of these data has added as the good friend of user A.
Step S207: the user for the good friend for not adding as user A in the corresponding user of these data is recommended into user A.Example
Such as, the fate numerical value of user X and user A is higher, but does not add as the good friend of user A also, and user X can be recommended to user A.
Step S209: detecting the inquiry operation that user A executes the subscriber data of user B, respond the inquiry operation,
The fate numerical value of presentation user A and user B on the page.
Fig. 3 is the structural block diagram of customer relationship chain acquisition device according to an embodiment of the present invention.As shown in figure 3, the user
Relation chain acquisition device includes: statistical module 30, is entered for for each user, counting active user to schedule
Public domain in, between the intersection degree and active user and non-good friend between above-mentioned active user and other each users
One-to-one interactive degree；Module 32 is integrated, for integrating to the intersection degree and interactive degree that count on, obtains active user couple
The multiple data answered；It obtains module 34 and obtains above-mentioned active user for the multiple data got to be excavated and analyzed
Relation chain.
Treated that data can both measure the relationship between the user added as a friend for above-mentioned apparatus, can also measure plus
For the relationship between the user of good friend, and data can excavate deeper customer relationship chain according to treated.
Preferably, statistical module 30 may further include at least one of: the first statistic unit 300, for for
Each public domain that active user enters counts other each users for being in the public domain simultaneously with active user respectively
Intersection time quantum；Second statistic unit 302, each public domain for entering for active user, counts respectively and works as
Preceding user is in the intersection number of other each users of the public domain simultaneously；Third statistic unit 304, for for current
Each public domain that user enters counts active user respectively and mutually goes together with other each users for being in the public domain
For intersection amount.Fig. 4 is shown while the feelings comprising the first statistic unit 300, the second statistic unit 302, third statistic unit 304
Condition.
Preferably, as shown in figure 4, the device can also include: detection module 36, for detect active user to one or
The inquiry operation that the data of multiple users executes；Output module 38, for responding the inquiry operation of above-mentioned active user, output should
Data corresponding to the user that inquiry operation is directed to.
Preferably, as shown in figure 4, above-mentioned apparatus can also include: searching module 40, in the multiple data got
In, search the data for being greater than predetermined threshold；Judgment module 42, for judging the number for each data greater than predetermined threshold
The good friend of above-mentioned active user whether has been added as according to corresponding user；Recommending module 44, for not adding as above-mentioned active user
Good friend in the case where, the corresponding user of the data is recommended into above-mentioned active user.
Preferably, as shown in figure 4, the device can also include: drafting module 46, for drawing figure based on above-mentioned relation chain
Picture；Module 48 is presented, for responding sort operation or the search operation of above-mentioned active user, visualization present the sort operation or
Image corresponding to the search operation.
In conclusion, with each user-center, radiant type statistics is current by above-described embodiment provided by the invention
Intersection degree and active user and non-good friend in the public domain that user enters, between active user and other each users
Between one-to-one interactive degree；Then the intersection degree and interactive degree that count on are handled and is excavated, obtain the active user
Relation chain.Therefore, data that treated can both measure the relationship between the user added as a friend, can also measure and not add as
Relationship between the user of good friend, and according to treated, data can excavate deeper customer relationship chain and be subject to
Using.
Disclosed above is only several specific embodiments of the invention, and still, the present invention is not limited to this, any ability
What the technical staff in domain can think variation should all fall into protection scope of the present invention.
Claims (8)
1. a kind of customer relationship chain acquisition methods characterized by comprising
For each user, count in the public domain that active user enters to schedule, the active user and its
The one-to-one interactive degree between intersection degree and active user and non-good friend between his each user, wherein statistics is current to be used
In the public domain that family enters, the intersection degree between active user and other each users includes at least one of: for working as
Each public domain that preceding user enters, statistics and active user are in other each users' of the public domain simultaneously respectively
Intersection time quantum；For each public domain that active user enters, statistics is in the public area with active user simultaneously respectively
The intersection number of other each users in domain；For active user enter each public domain, respectively count active user with
The identical behavior intersection amount of other each users in the public domain；
The intersection degree and interactive degree that count on are integrated, the corresponding multiple data of active user are obtained；
The multiple data got are excavated and analyzed, the relation chain of the active user is obtained.
2. the method according to claim 1, wherein being gone back after obtaining the corresponding multiple data of active user
Include:
Detect the inquiry operation that active user executes the data of one or more users；
The inquiry operation for responding the active user exports data corresponding to the user that the inquiry operation is directed to.
3. method according to claim 1 or 2, which is characterized in that the multiple data got are excavated and analyzed,
After the relation chain for obtaining active user, further includes:
In the multiple data got, the data for being greater than predetermined threshold are searched；
For each data greater than predetermined threshold, judge whether the corresponding user of the data has added as the good of the active user
Friend；
In the case where not adding as the good friend of the active user, the corresponding user of the data is recommended into the active user.
4. method according to claim 1 or 2, which is characterized in that the multiple data got are excavated and analyzed,
After the relation chain for obtaining active user, further includes:
Based on the relation chain drawing image；
Sort operation or the search operation of the active user are responded, the sort operation is presented in visualization or search operation institute is right
The image answered.
5. a kind of customer relationship chain acquisition device characterized by comprising
Statistical module, it is described for being counted in the public domain that active user enters to schedule for each user
The one-to-one interactive degree between intersection degree and active user and non-good friend between active user and other each users；
Module is integrated, for integrating to the intersection degree and interactive degree that count on, obtains the corresponding multiple data of active user；
It obtains module and obtains the relation chain of the active user for the multiple data got to be excavated and analyzed；
Wherein, the statistical module includes at least one of:
First statistic unit, each public domain for entering for active user, statistics is located simultaneously with active user respectively
In the intersection time quantum of other each users of the public domain；
Second statistic unit, each public domain for entering for active user, statistics is located simultaneously with active user respectively
In the intersection number of other each users of the public domain；
Third statistic unit, each public domain for entering for active user count active user respectively and are in and be somebody's turn to do
The identical behavior intersection amount of other each users of public domain.
6. device according to claim 5, which is characterized in that further include:
Detection module, the inquiry operation that the data of one or more users is executed for detecting active user；
Output module exports corresponding to the user that the inquiry operation is directed to for responding the inquiry operation of the active user
Data.
7. device according to claim 5 or 6, which is characterized in that further include:
Searching module, for searching the data for being greater than predetermined threshold in the multiple data got；
Judgment module, for judging whether the corresponding user of the data has added as institute for each data greater than predetermined threshold
State the good friend of active user；
Recommending module, in the case where not adding as the good friend of the active user, the corresponding user of the data to be recommended
The active user.
8. device according to claim 5 or 6, which is characterized in that further include:
Drafting module, for being based on the relation chain drawing image；
Module is presented, for responding sort operation or the search operation of the active user, visualization present the sort operation or
Image corresponding to the search operation.
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| CN106204108B (en) * | 2016-06-29 | 2018-09-25 | 腾讯科技（深圳）有限公司 | The anti-cheat method of advertisement and the anti-cheating device of advertisement |
| CN106201992A (en) * | 2016-07-14 | 2016-12-07 | 贵阳朗玛信息技术股份有限公司 | A kind of big data real-time operation method and device |
| CN107800608A (en) * | 2016-09-05 | 2018-03-13 | 腾讯科技（深圳）有限公司 | A kind of processing method and processing device of user profile |
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| CN102411593A (en) * | 2010-09-26 | 2012-04-11 | 腾讯数码（天津）有限公司 | Method and system for showing good friend trends |
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