CN106600219A - Partner relationship grouping method and system thereof - Google Patents
Partner relationship grouping method and system thereof Download PDFInfo
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- CN106600219A CN106600219A CN201611095187.3A CN201611095187A CN106600219A CN 106600219 A CN106600219 A CN 106600219A CN 201611095187 A CN201611095187 A CN 201611095187A CN 106600219 A CN106600219 A CN 106600219A
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- China
- Prior art keywords
- affiliate
- packet
- label
- user
- industry
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
- G06F16/137—Hash-based
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
Abstract
The invention discloses a partner relationship grouping method and a system thereof. The method includes: a user presets groups of partners thereof based on the self industry attributes and stores the groups in a partner label database, wherein the groups of the partners thereof comprise industry groups of the partners and potential partner groups; the user establishes the partnership with other users based on the business demand thereof and determines the industry types of the partners; and dividing the partners into the corresponding partner groups preset by the user based on the industry type of the partners so that grouping of the partner relationship is realized. According to the grouping method, the user firstly determines the industry types of the required partners based on the self attributes and presets and pre-stores some partner groups in the database based on the industry types of the partners so that the workload brought by direct input of the partners during grouping or classification in the prior art can be avoided.
Description
Technical field
The present invention relates to enterprise information management field, more particularly, to a kind of method of partnership relation packet
And its system.
Background technology
For currently the majority business unit, no matter which kind of type the unit belong to, all without being completely self-contained, it is necessary to
There is affiliate, by cooperating with affiliate, reach the normal operation of unit, thus affiliate/client
All it is most important to which.With the frequent use of the management of information resources, how affiliate is managed, for enterprise
Management it is critical that.
In the prior art, when being managed to affiliate/client, or being that to be manually managed be direct
By all affiliate/user loggings in same form, this mode needs to expend substantial amounts of manpower.Also technology proposes
Back ground Information based on client is grouped to the operation information of client, targetedly service or manage to provide, so as to reach
To the purpose for improving customer account management efficiency, existing common being achieved in that customer type is carried out using Bayesian Classification Arithmetic
There is the deficiency of descriminator irrelevance and redundancy in packet, which；In order to overcome the shortcomings of Bayesian Classification Arithmetic,
There is technology addition descriminator to overcome its defect, but equally exist the deficiency for calculating complexity.Secondly, existing Classification Management system
System, user when using grouping system, are all based on directly on affiliate and are classified, and this mode causes classification managing system
Amount of calculation is increased when in use.
The content of the invention
The present invention is to overcome at least one defect described in above-mentioned prior art（It is not enough）, a kind of affiliate is provided first
The method of relation packet, the method user before packet are in advance based on the industry type of itself and preset an initial data
Storehouse, can efficiently be managed to affiliate when in use, and the method has the simple advantage of calculating, it is possible to increase visitor
The precision of family packet.
The present invention also proposes a kind of system of partnership relation packet.
To achieve these goals, technical scheme is as follows：
A kind of method of partnership relation packet, comprises the following steps：
S1, user preset the packet of its affiliate based on its own industry attribute, and store affiliate's tag database
In, the packet of its affiliate includes that the industry packet of affiliate and potential affiliate are grouped；
S2, user are based on its business demand and other users set up affiliate, and determines the industry type of the affiliate；
S3, it is divided into based on the industry type of the affiliate in the corresponding affiliate packet of user preset, with reality
The now packet of the partnership relation.
Group technology proposed by the invention, user primarily determine that some cooperations partner required for which based on its own attribute
With industry type, based on these affiliate's industry types, user preset some affiliates' packets are stored in data base in advance, energy
Prior art is enough avoided to directly input affiliate in the brought workload that is grouped or classified.Wherein affiliate point
Group includes the industry packet and potential affiliate packet of affiliate, and the packet of industry is referred to and can determine its affiliate's
Industry type, stores for the affiliate that some industry types are obscured then presets potential affiliate's packet, reaches
Classify to more accurate.
Preferably, in step S3, user also adds to the affiliate being divided in default affiliate's packet
There is label.
Preferably, also include the affiliate's label after addition is polymerized and is grouped, and while storage is to cooperation partner
With in tag database, wherein affiliate's label is polymerized and is grouped is realized based on Hadoop, its detailed process is：
By the label data after process with key-value（Packet-》Label）Form storage to hdfs storage systems, while by number
According to being sent in message queue, the subscriber of message queue has listened to after data are submitted to data are taken out from message queue and has deposited
Store up in hash lists, hash lists are located in internal memory, container obtains aggregated completing from the hdfs of Hadoop when starting
The data packet that obtains based on label in hash lists, the data structure of hash lists is the combination that array adds list.
, itself can also there is the distinctive label of some of in the affiliate being divided in packet, such as staff number, address,
Rank of service etc., this method can also carry out polymerization packet based on these distinctive labels, and the present invention carries out polymerization point to label
Group is realized based on Hadoop, is reached and is realized simple purpose.
Preferably, in step S3, belong to current affiliate when not existing in affiliate's packet of user preset
Packet when, then the affiliate is added or is imported in the potential affiliate's packet of user.
Preferably, when methods described also includes in the affiliate of user preset is grouped having packet to be deleted, then should
There is affiliate to be transferred to other packets or be transferred in potential affiliate's packet under deleted packet.
A kind of system of partnership relation packet, including：
Default and database sharing module：User presets the packet of its affiliate based on its own industry attribute, and storage is arrived
In affiliate's tag database, the packet of its affiliate includes industry packet and the potential affiliate point of affiliate
Group；
Partnership relation sets up module：User sets up affiliate based on its business demand and other users, and determines the conjunction
Make the industry type of partner；
Partnership relation grouping module：The corresponding conjunction of user preset is divided into based on the industry type of the affiliate
Make in partner's packet, to realize the packet of the partnership relation.
Preferably, in the partnership relation grouping module, user is to being divided in default affiliate's packet
Affiliate also includes and adds submodule for the label for being added with label.
Preferably, the label addition submodule includes label aggregation grouped element, for the affiliate after addition
Label is polymerized and is grouped, while storage is in affiliate's tag database, wherein being polymerized to affiliate's label
And packet is realized based on Hadoop, its detailed process is：By the label data after process with key-value（Packet-》Mark
Sign）Form storage to hdfs storage systems, while transmitting data in message queue, the subscriber of message queue listens to
Data are taken out into storage in hash lists from message queue after there are data to submit to, hash lists are located in internal memory, and container is opened
The packet that the aggregated data for completing obtain based on label in hash lists, hash are obtained when dynamic from the hdfs of Hadoop
The data structure of list is the combination that array adds list.
Preferably, the partnership relation grouping module also includes potential packet submodule, when the conjunction of user preset
Do not exist when belonging to the packet of current affiliate in making partner's packet, then the affiliate is added or imports to user and dived
In affiliate's packet.
Preferably, the nested design removing module, when having packet to be deleted in affiliate's packet of user preset,
Then will there is affiliate to be transferred to other packets or be transferred in potential affiliate's packet under the deleted packet.
Compared with prior art, the beneficial effect of technical solution of the present invention is：Group technology proposed by the invention, user
Some affiliate's industry types required for which are primarily determined that based on its own attribute, based on these affiliate's industry classes
Type, user preset some affiliates packet are stored in data base in advance, prior art can be avoided to directly input affiliate and existed
Be grouped or classified brought workload.The packet of wherein affiliate includes the industry packet and potential conjunction of affiliate
Make partner's packet, the packet of industry refers to the industry type that can determine its affiliate, fuzzy for some industry types
Affiliate then presets potential affiliate's packet and is stored, and reaches more accurate classification.
The present invention realizes that also based on Hadoop polymerization packet is carried out to label to be realized based on Hadoop, is not increasing meter
On the premise of the running speed of calculation machine or other smart machines, grouping management can be carried out to affiliate, by industry type, mark
Affiliate is carried out packet refinement by label etc., allows user more easily efficiently to be managed to affiliate.
Description of the drawings
Fig. 1 is the realization procedure chart of the present invention.
Specific embodiment
Accompanying drawing being for illustration only property explanation, it is impossible to be interpreted as the restriction to this patent；It is in order to more preferably illustrate the present embodiment, attached
Scheme some parts to have omission, zoom in or out, do not represent the size of actual product；
To those skilled in the art, in accompanying drawing, some known features and its possible omission of explanation will be understood by.Under
Face is described further to technical scheme in conjunction with the accompanying drawings and embodiments.
Embodiment 1
Such as Fig. 1, a kind of method of partnership relation packet, comprise the following steps：
If user is to be engaged in wedding gauze kerchief planning service, then the user presets the packet of its affiliate based on its own industry attribute
（Such as place class, clothing, cosmetic class etc.）, and store in affiliate's tag database, the packet of its affiliate includes
The industry packet and potential affiliate packet of affiliate, the industry packet of affiliate in the present embodiment is to refer to
Determine the industry type of its affiliate, place class as described above, clothing are made up class, for some industry types
Fuzzy affiliate then presets potential affiliate's packet and is stored, and such as some not only provided decorative article but also offer
The affiliate of cosmetics, then quickly cannot be defined to its industry type, then can be divided into this affiliate
In potential affiliate's packet；
User is based on its business demand, needs to find a supplier that can provide place lease service as affiliate,
End user have selected supplier B as affiliate, and set up affiliate with other users, determine the row of the affiliate
Industry type belongs to place class；
Whether the affiliate that judgement is currently needed for dividing belongs to the existing packet of affiliate's tag database；
Belong to, current affiliate is divided in corresponding packet, in the present embodiment, the industry type of supplier B belongs to
Place class, has been present in default packet, then be directly divided in the packet, to realize the partnership relation
Packet.While the affiliate to being divided into the packet first（Supplier B）The labels such as " 300 people ", " high-end " have been added with, and
Due to the affiliate（Supplier B）There are numerous labels, and then also the affiliate's label after addition is polymerized and is divided
Group, so that the affiliate can be quickly found when using this method（Supplier B）, to the affiliate（Supplier
B）Label carry out polymerization packet after and meanwhile by grouping information store in affiliate's tag database, it is right in the present embodiment
Affiliate's label is polymerized and is grouped to be realized based on Hadoop, and its detailed process is：By the label data after process with
Key-value（Packet-》Label）Form storage to hdfs storage systems, while transmitting data to, in message queue, disappear
The subscriber of breath queue has listened to after data are submitted to and for data to have taken out storage in hash lists from message queue, and hash is arranged
In internal memory, container obtains the aggregated data for completing from the hdfs of Hadoop when starting and obtains in hash lists epi-position
Based on the packet of label, the data structure of hash lists is the combination that array adds list.The data structure of hash lists is array
Plus list is combination, data structure and quick Search and Orientation number that this combination is easy to dynamic expansion and support abundant
According to repeating from message queue to obtain the mistake of data for equally can also transmit data to message queue during manual packet adjustment
Journey；
It is not belonging to, the affiliate adds or imports in the potential affiliate's packet of user.
The group technology proposed by the present embodiment, user primarily determine that some cooperations required for which based on its own attribute
Partner's industry type, based on these affiliate's industry types, user preset some affiliates' packets are stored in data base in advance,
Prior art can be avoided to directly input affiliate in the brought workload that is grouped or classified.Wherein affiliate
Packet includes the industry packet and potential affiliate packet of affiliate, and the packet of industry is referred to and can determine its affiliate
Industry type, store for the affiliate that some industry types are obscured then presets a potential affiliate packet,
Reach more accurate classification.
, itself can also there is the distinctive label of some of in the affiliate being divided in packet, such as staff number, address,
Rank of service etc., this method can also carry out polymerization packet based on these distinctive labels, and the present invention carries out polymerization point to label
Group is realized based on Hadoop, is reached and is realized simple purpose.
The packet realized using this method, can quickly find the conjunction of its storage whether based on packet or label
Make partner.
The method used by the present embodiment is also included when having packet to be deleted in affiliate's packet of user preset, then
To there is affiliate to be transferred to other packets or be transferred in potential affiliate's packet under the deleted packet.
The group technology of the present embodiment is being realized increasing, looking into, changing, deleting（It is newly-increased to be grouped, check packet, editor's packet, be grouped into
Member's adjustment, deletion packet）The operand of computer while these basic functions, can be reduced, arithmetic speed is improved.This packet
Method, user be also based on its be actually needed to packet carry out self-defined message push, issue content when can arrange right
Some packets are visible, and function above all receives control of authority, and the talent having permission can be operated.This group technology allows user
（Business/organization）More easily its affiliate's information visible range, stream compression border and authority are accurately managed.
Embodiment 2
A kind of system of partnership relation packet, including：
Default and database sharing module：User presets the packet of its affiliate based on its own industry attribute, and storage is arrived
In affiliate's tag database, the packet of its affiliate includes industry packet and the potential affiliate point of affiliate
Group；
Partnership relation sets up module：User sets up affiliate based on its business demand and other users, and determines the conjunction
Make the industry type of partner；
Partnership relation grouping module：The corresponding conjunction of user preset is divided into based on the industry type of the affiliate
Make in partner's packet, to realize the packet of the partnership relation.
In partnership relation grouping module, user is also wrapped to the affiliate being divided in default affiliate's packet
Include and add submodule for the label for being added with label.
Label addition submodule includes label aggregation grouped element, for being polymerized to the affiliate's label after addition
And be grouped, while storage is in affiliate's tag database, wherein it is to be based on affiliate's label to be polymerized and is grouped
Hadoop realizes that its detailed process is：By the label data after process with key-value（Packet-》Label）Form storage
To hdfs storage systems, while transmit data in message queue, after the subscriber of message queue has listened to data submission
Data are taken out into storage in hash lists from message queue, hash lists are located in internal memory, from Hadoop when container starts
Hdfs in obtain the packet that the aggregated data for completing obtain based on label in hash lists, the data knot of hash lists
Structure is the combination that array adds list.
Partnership relation grouping module also includes potential packet submodule, when in affiliate's packet of user preset
Do not exist when belonging to the packet of current affiliate, then the affiliate is added or imported to the potential affiliate point of user
In group.
This when having packet to be deleted in affiliate's packet of user preset, is then deleted by nested design removing module
There is affiliate to be transferred to other packets or be transferred in potential affiliate's packet under the packet for removing.
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not right
The restriction of embodiments of the present invention.For those of ordinary skill in the field, may be used also on the basis of the above description
To make other changes in different forms.There is no need to be exhaustive to all of embodiment.It is all this
Any modification, equivalent and improvement made within the spirit and principle of invention etc., should be included in the claims in the present invention
Protection domain within.
Claims (10)
1. a kind of method that partnership relation is grouped, it is characterised in that comprise the following steps：
S1, user preset the packet of its affiliate based on its own industry attribute, and store affiliate's tag database
In, the packet of its affiliate includes that the industry packet of affiliate and potential affiliate are grouped；
S2, user are based on its business demand and other users set up affiliate, and determines the industry type of the affiliate；
S3, it is divided into based on the industry type of the affiliate in the corresponding affiliate packet of user preset, with reality
The now packet of the partnership relation.
2. method according to claim 1, it is characterised in that in step S3, user is to being divided into default cooperation
Affiliate in partner's packet is also added with label.
3. method according to claim 2, it is characterised in that also include being polymerized the affiliate's label after addition
And be grouped, and while store in affiliate's tag database, wherein it is base affiliate's label to be polymerized and is grouped
Realize in Hadoop, its detailed process is：By the label data after process with key-value（Packet-》Label）Form deposit
Hdfs storage systems are stored up, while transmitting data in message queue, the subscriber of message queue has listened to data and submitted to
Data are taken out storage afterwards in hash lists from message queue, hash lists are located in internal memory, when container starts from
The packet that the aggregated data for completing obtain based on label in hash lists is obtained in the hdfs of Hadoop, hash lists
Data structure is the combination that array adds list.
4. method according to claim 1, it is characterised in that in step S3, as the affiliate point of user preset
Do not exist in group when belonging to the packet of current affiliate, then the affiliate is added or import to the potential cooperation partner of user
With in packet.
5. method according to claim 1, it is characterised in that methods described also includes the affiliate point when user preset
When having packet to be deleted in group, then will there is affiliate under the deleted packet and be transferred to other packets or be transferred to potential
In affiliate's packet.
6. the system that a kind of partnership relation is grouped, it is characterised in that include：
Default and database sharing module：User presets the packet of its affiliate based on its own industry attribute, and storage is arrived
In affiliate's tag database, the packet of its affiliate includes industry packet and the potential affiliate point of affiliate
Group；
Partnership relation sets up module：User sets up affiliate based on its business demand and other users, and determines the conjunction
Make the industry type of partner；
Partnership relation grouping module：The corresponding conjunction of user preset is divided into based on the industry type of the affiliate
Make in partner's packet, to realize the packet of the partnership relation.
7. system according to claim 1, it is characterised in that in the partnership relation grouping module, user is to drawing
Assign to the affiliate in default affiliate's packet and also include and add submodule for the label for being added with label.
8. system according to claim 7, it is characterised in that the label addition submodule includes that label aggregation packet is single
Unit, for the affiliate's label after addition is polymerized and is grouped, while storage is in affiliate's tag database, its
In affiliate's label to be polymerized and is grouped be to realize that its detailed process is based on Hadoop：By the number of tags after process
Key-value according to this（Packet-》Label）Form storage to hdfs storage systems, while transmitting data to message queue
In, the subscriber of message queue has listened to after data are submitted to data are taken out from message queue and has stored in hash lists,
Hash lists are located in internal memory, and container obtains the aggregated data for completing to hash lists from the hdfs of Hadoop when starting
In obtain based on label packet, the data structure of hash lists is the combination that array adds list.
9. system according to claim 6, it is characterised in that the partnership relation grouping module also includes potential
Packet submodule, when user preset affiliate packet in do not exist belong to the packet of current affiliate when, then this is closed
Make partner's addition or import in the potential affiliate's packet of user.
10. system according to claim 6, it is characterised in that the nested design removing module, when the conjunction of user preset
When having packet to be deleted in making partner's packet, then will there is affiliate under the deleted packet and be transferred to other packets or turn
Move on in potential affiliate's packet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611095187.3A CN106600219A (en) | 2016-12-02 | 2016-12-02 | Partner relationship grouping method and system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611095187.3A CN106600219A (en) | 2016-12-02 | 2016-12-02 | Partner relationship grouping method and system thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106600219A true CN106600219A (en) | 2017-04-26 |
Family
ID=58596066
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611095187.3A Pending CN106600219A (en) | 2016-12-02 | 2016-12-02 | Partner relationship grouping method and system thereof |
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| CN (1) | CN106600219A (en) |
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| CN104077707A (en) * | 2013-03-27 | 2014-10-01 | 腾讯科技（深圳）有限公司 | Promotion presentation mode optimization method and device |
| CN105868900A (en) * | 2016-03-28 | 2016-08-17 | 大连理工大学 | Enterprise pre-cooperative partner classification method based on SVM (support vector machine) |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103092845A (en) * | 2011-10-27 | 2013-05-08 | 镇江雅迅软件有限责任公司 | Contract charging system based on hash table technology |
| CN102629219A (en) * | 2012-02-27 | 2012-08-08 | 北京大学 | Self-adaptive load balancing method for Reduce ends in parallel computing framework |
| CN102999791A (en) * | 2012-11-23 | 2013-03-27 | 广东电网公司电力科学研究院 | Power load forecasting method based on customer segmentation in power industry |
| CN104077707A (en) * | 2013-03-27 | 2014-10-01 | 腾讯科技（深圳）有限公司 | Promotion presentation mode optimization method and device |
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Application publication date: 20170426 |