CN106548381A - Intelligent subscriber tag systems and implementation method - Google Patents
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Abstract
The invention discloses intelligent subscriber tag systems and implementation method, basal layer is made up of data center, and data center is used to gather source data, and source data is carried out cleaning, filters, stores；Business Logic is made up of analysis layer, operation layer, and analysis layer is used to set up user tag system, analysis user behavior track, obtains corresponding conclusion；Operation layer carries out visual presentation and Analysis of conclusion to conclusion；Application layer is constituted by convergence platform is published, and is published convergence platform and is realized print on demand and Push Service according to the Analysis of conclusion of operation layer；Represent layer exchanges bridge as user and intelligent subscriber tag systems.The present invention sets up user tag system according to source data, and analysis user behavior track obtains corresponding the conclusion such as growth of hot item, user, active period etc.；The conclusion carries out visual presentation and Analysis of conclusion by runing layer, realizes the digital content services of print on demand and personalization, lifts Consumer's Experience, reduces enterprise marketing cost.
Description
Technical field
The present invention relates to user tag technical field, more particularly to intelligent subscriber tag systems and implementation method.
Background technology
In the big data epoch, analyzed based on figure painting picture of the big data with labeling thinking, have become numerous enterprises deeply
Perception target consumes the important tool of character.The essence of figure painting picture is a kind of quantificational description to consumer's internal characteristicses,
Be by its external behavior and the analysis of attribute, sketch out in personage feature, so as to realize that the depth to user is seen clearly.
And user tag system is arisen at the historic moment under such technical background.
At present, main user tag system includes the label that business bank, Internet enterprises add to user.Set up visitor
Family label system can carry out homogeneous classification management to the customer information of different channels, different bores, separate sources, different structure.
Rationally accurately user tag is deep understanding and cognition of the bank to client's full spectrum information behind.In this process, silver
Row is it can be found which potential customers is high to marketing activity responsiveness；Which client receives new product difficulty, only grows tender of tradition
Business；Which client credit is low, risk is high or it is possible to there is fraud.Accurately sketching the contours client's profile needs with reference to number inside bank
According to multi-dimensional datas such as, social media data, outside common datas, analyse in depth, excavate after obtain potential customers' information, foundation
Business objective carries out classification refinement to client, and client is described using corresponding language.In recent years, domestic commercial banks
Begin attempt to, by deep data analysiss and excavation, insight into customer behavior, hobby, stamp various types of labels to client.
In Internet enterprises, client's label such as " business people ", " nurse a baby mother ", " students ", " luxury goods vermicelli " is early built
It is vertical.By client's label, Internet enterprises are capable of achieving based on the advertisement of webpage design, the accurate push of marketing activity.
Now, society has been enter into the epoch of data huge explosion, and information presents the state of fragmentation propagation.It is existing in society
User tag classification it is too general, and some industries also do not apply to user tag in work.For Publishing Industry, with
The development and change of publishing market, reader is increasingly taken seriously.But the base of " publishing house's production content, readers' preference content "
This general layout does not become.Traditional publication society thinks that business dabbles scope extensively, provides content more and can just obtain reader, wins interests.
Therefore it provides be that a kind of content is packed the service of formula, attempt substantially meets most readers with the set of various articles.
The service that this results in its offer is too wide in range, it is impossible to better meet different estate, different periods, the requirement of different readers.
The content of the invention
For weak point present in the problems referred to above, the present invention provides intelligent subscriber tag systems and implementation method.
For achieving the above object, the present invention provides a kind of intelligent subscriber tag systems, including：Basal layer, Business Logic,
Application layer and represent layer；
The basal layer is made up of data center, and the data center is used to gather source data, source data is carried out cleaning,
Filter, and the source data that cleaning is filtered is stored；The source data packet includes the service data information of Publication Enterprises, Yong Huji
This information and user behavior information；
The Business Logic is made up of analysis layer, operation layer, and the analysis layer sets up user tag body according to source data
System, analysis user behavior track, obtains corresponding conclusion；The operation layer divides for visual presentation and conclusion are carried out to conclusion
Analysis；The conclusion includes that hot item, user increase and active period, and the Analysis of conclusion includes aiding in usage mining, business
Analysis, resource are precisely pushed；
The application layer is constituted by convergence platform is published, and the convergence platform of publishing is realized according to the Analysis of conclusion of operation layer
Print on demand and Push Service；
The represent layer is used as exchanging bridge between user and intelligent subscriber tag systems.
As a further improvement on the present invention, the data center includes data acquisition unit, data processing unit sum
According to memory element；
The data acquisition unit is used to gather source data；
The data processing unit is for carrying out cleaning, filter to source data；
The data storage cell is stored for the source data to cleaning filtration.
As a further improvement on the present invention, the analysis layer includes user tag system and behavior analysiss component；
The user tag system is set up according to the source data of data center；
The behavior analysiss component generates user's portrait according to user tag Establishing data model；The data mould
Type includes ID, time, behavior type, contact point, and the contact point includes network address and content；User's portrait has
Life cycle, which is updated according to the renewal of source data；
Two points of k-means customer groupings models and Apriori-B association analysiss are set up according to the user's portrait in life cycle
Model, and assess the quality of two points of k-means customer groupings models and Apriori-B relation analysis models；
Implement two points of k-means customer groupings models and Apriori-B relation analysis models both mining models, obtain
To respective client point cluster analysiss report.
As a further improvement on the present invention, the operation layer includes that content-preference engine module, business marketing analysis draw
Hold up component and marketing effectiveness evaluation component；
The content-preference engine module is for giving user recommended user digital resource interested；
The business marketing analysis engine component is used to provide the most popular digital resource of edition unit analysises, most suitable
Push the time period of content；
The marketing effectiveness evaluation component is used to providing edition unit analysises and rises the point of powder, dry linting situation and all types of resources
The amount of hitting, sales situations.
As a further improvement on the present invention, it is described publication convergence platform include digital content structuring processing subsystem,
Digital publishing ERP subsystems and digital content operation platform；
The digital content structuring processing subsystem for paper resources are digitized conversion, structuring mark,
Embedded standardized management coding, generation meet cross-platform, multiple terminals, issue the digital publication of call format by all kinds of means；
The digital publishing ERP subsystems are controlled for the workflow to publishing；
During the digital content structuring processing subsystem, digital publishing ERP subsystems combine operation layer, content-preference draws
Hold up the print on demand that component, business marketing analysis engine component and marketing effectiveness evaluation component realize Publication Enterprises；
The digital content operation platform by digital publication classify it is one-stop be supplied to user, and combine in operation layer
Content-preference engine module realizes the accurate Push Service of content.
As a further improvement on the present invention, the represent layer includes PC ends webpage, wechat public number and APP.
The present invention also provides a kind of implementation method of intelligent subscriber tag systems, including：
Step 1, acquisition source data, and pretreatment is carried out to source data；The source data packet includes the business number of Publication Enterprises
It is believed that breath, user basic information and user behavior information；
Step 2, user tag system is set up according to pretreated source data；
Step 3, according to user tag Establishing data model, generate user's portrait；
Step 4, judge whether update user portrait, if update, return to step 2；If not updating, step 5 is skipped to；
Step 5, foundation user's portrait set up two points of k-means customer groupings models and Apriori-B relation analysis models；
The quality of step 6, two points of k-means customer groupings models of assessment and Apriori-B relation analysis models, if reaching
Standard, then skip to step 7；If below standard standard, assessment is trained and continues；
Step 7, enforcement mining model obtain corresponding conclusion, and the conclusion includes that hot item, user increase and active
Period；
Step 8, visual presentation and Analysis of conclusion are carried out to conclusion, the Analysis of conclusion includes aiding in usage mining, industry
Business analysis, resource are precisely pushed；
Step 9, print on demand and Push Service are realized according to Analysis of conclusion.
As a further improvement on the present invention, in step 1, the pretreatment includes source data is carried out cleaning, filtered,
And the source data that cleaning is filtered is stored.
As a further improvement on the present invention, in step 3, user portrait is with life cycle, and source data can be with
The change of time and change, for the apparent overview depicted in user's a period of time recently, user's portrait need to be carried out
Regularly update.
Compared with prior art, beneficial effects of the present invention are：
Intelligent subscriber tag systems disclosed by the invention and implementation method, set up user mark according to source data by analysis layer
Label system, analysis user behavior track, obtains corresponding the conclusion such as growth of hot item, user, active period etc.；The conclusion is led to
Crossing operation layer carries out visual presentation and Analysis of conclusion；Analysis of the application layer according to conclusion in operation layer, with reference in produce reality
Present situation realize the digital content services of print on demand and personalization, finally lift Consumer's Experience, reduce enterprise marketing cost.
Description of the drawings
Frame diagrams of the Fig. 1 for intelligent subscriber tag systems disclosed in an embodiment of the present invention；
Flow charts of the Fig. 2 for intelligent subscriber tag systems implementation method disclosed in an embodiment of the present invention.
In figure：
100th, basal layer；110th, data center；111st, data acquisition unit；112nd, data processing unit；113rd, data are deposited
Storage unit；
200th, Business Logic；210th, analysis layer；211st, user tag system；212nd, behavior analysiss component；220th, run
Layer；221st, content-preference engine module；222nd, business marketing analysis engine component；223rd, marketing effectiveness evaluation component；
300th, application layer；310th, publish convergence platform；311st, digital content structuring processing subsystem；312nd, digital publishing
ERP subsystems；313rd, digital content operation platform；
400th, represent layer.
Specific embodiment
To make purpose, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than the embodiment of whole.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment obtained on the premise of creative work is not made by member, belongs to the scope of protection of the invention.
Below in conjunction with the accompanying drawings the present invention is described in further detail：
In the big data epoch, analyzed based on figure painting picture of the big data with labeling thinking, have become numerous enterprises deeply
Perception target consumes the important tool of character.User tag system is analyzed by the behavioural habits to user, hobby,
Realize that the depth to user is drawn a portrait.In fact, figure painting picture is studying industry as consumer's Profile modeling contents
Carry out for many years.Its essence is a kind of quantificational description to consumer's internal characteristicses, is by dividing to its external behavior and attribute
Analysis, sketch out in personage feature, so as to realize that the depth to user is seen clearly.For current traditional publication enterprise major part it is
It is product-centered, it is difficult to meet the reading requirement that reader increasingly changes, and information explosion produce countless junk information and
The reading needs puzzlement that bring of the garbage to reader, traditional publication enterprise can use user tag system, user is entered
Row classification, by modes such as the data collection of fragmentation, big data process and analysis, active push, provides accurately for reader
Digital content services.The purpose of intelligent subscriber tag systems of the present invention is exactly easily to capture user, excavate user, by for use
Family behavior portrait, analyzes user's request, pushes accurately content service, improves usage rate of the user, and avoid the detest of user
Emotion.
The intelligent subscriber tag systems of the present invention mainly have herein below：
One is labelled to all the elements, facilitates user by label come fast search content interested, and optimization is used
Experience at family；It is also simultaneously being finely divided, so as to realize precisely push content with label.
Two is a series of behaviors by user in platform, labelled to all of user, analyzes user with label
Behavior and preference.
Three is grade labelling system.According to main kind of little subject, the label system of two-stage and three-level is set up, such as professional book
The specialty of nationality, depth, purpose, the specialty of general books and depth.
As shown in figure 1, the present invention provides a kind of intelligent subscriber tag systems, including：Basal layer 100, Business Logic
200th, application layer 300 and represent layer 400；Wherein：
The basal layer 100 of the present invention is made up of data center 110, and data center 110 is used to gather source data, to source data
Carry out cleaning, filter, and the source data that cleaning is filtered is stored；Source data packet include Publication Enterprises service data information,
User basic information and user behavior information.Wherein, data center 110 includes data acquisition unit 111, data processing unit
112 and data storage cell 113, data acquisition unit 111 is used to gather source data, mainly realizes the business system of Publication Enterprises
The data of the system such as system, user basic information acquisition system, user behavior information acquisition system are synchronous with user tag system；
, for source data is carried out cleaning, filtered, data storage cell 113 is for the source number to cleaning filtration for data processing unit 112
According to being stored.
The Business Logic 200 of the present invention is made up of analysis layer 210, operation layer 220；Analysis layer 210 is built according to source data
Vertical user tag system, analysis user behavior track, obtains corresponding conclusion；Wherein, analysis layer 210 includes user tag system
211 and behavior analysiss component 212, user tag system 211 is set up according to the source data of data center；Behavior analysiss component
212 set up data model according to user tag system 211, generate user's portrait；User data model can be expressed as：User marks
Knowledge+the time+behavior type+contact point (network address+content), certain user because at what time, place, what has done.User
With life cycle, which is regularly updated portrait according to the renewal of source data；Two points are set up according to the user's portrait in life cycle
K-means customer groupings model and Apriori-B relation analysis models, and assess two points of k-means customer groupings models and
The quality of Apriori-B relation analysis models；Two points of k-means customer grouping models in operating process is put into practice, by checking
In minimum total SSE, cluster, case and order km $ centers check cluster centre, differentiate different clusters " different between similar cluster in cluster "
Significance level, by many experiments, evaluate and optimize, it is final to determine optimum cluster number of clusters.Apriori-B association analysiss moulds
Type finds out optimum support by the method for Frequency statistics figure in operating process is put into practice, then by the output of model
As a result the numerical value of confidence level is continued to optimize with related parameter of regularity.Through many experiments, evaluate and optimize, it is final to determine support
Degree parameter and confidence level parameter；Implement two points of k-means customer groupings models and Apriori-B relation analysis models both
Mining model, obtains respective client point cluster analysiss report.
For visual presentation and Analysis of conclusion are carried out to conclusion, conclusion includes that hot item, user increase to operation layer 220
And active period, Analysis of conclusion includes aiding in usage mining, operational analysis, resource precisely to push.Wherein, runing layer 220 includes
Content-preference engine module 221, business marketing analysis engine component 222 and marketing effectiveness evaluation component 223；Content-preference engine
Component for giving user recommended user digital resource interested, such as article, video, audio frequency, game, commodity etc.；Business marketing
Analysis engine component is used to provide the most popular digital resource of edition unit analysises, time period of most suitable push content etc.；
Marketing effectiveness evaluation component be used for be given edition unit analysises rise powder, the click volume of dry linting situation and all types of resources, sale feelings
Condition etc..
The application layer 300 of the present invention is constituted by convergence platform 310 is published, and publishes knot of the convergence platform 310 according to operation layer
Print on demand and Push Service are realized by analysis.Wherein, publishing convergence platform 310 includes digital content structuring processing subsystem
311st, digital publishing ERP subsystems 312 and digital content operation platform 313；Digital content structuring processing subsystem 311 is used for
Paper resources are digitized with conversion, structuring mark, embedded standardized management coding, generation meets cross-platform, how whole
End, the digital publication for issuing call format by all kinds of means；Digital publishing ERP subsystems 312 enter for the workflow to publishing
Row control；During digital content structuring processing subsystem 311, digital publishing ERP subsystems 312 combine operation layer, content-preference draws
Hold up the print on demand that component 221, business marketing analysis engine component 222 and marketing effectiveness evaluation component 223 realize Publication Enterprises；
The Related products such as books, audio frequency and video, picture and text, exam pool, game, application are classified one-stop offer by digital content operation platform 313
To user, and the content-preference engine module 221 combined in operation layer realizes the accurate Push Service of content.
The present invention represent layer 400 as the bridge that exchanges between user and intelligent subscriber tag systems, mainly including PC
End webpage, wechat public number and APP.
As shown in Fig. 2 the present invention provides a kind of implementation method of intelligent subscriber tag systems, including：
Step 1, acquisition source data, and pretreatment is carried out to source data；Source data packet includes the business datum letter of Publication Enterprises
Breath, user basic information and user behavior information；Pretreatment includes source data is carried out cleaning, filtered, and cleaning is filtered
Source data is stored.
Step 2, user tag system is set up according to pretreated source data；
Step 3, according to user tag Establishing data model, generate user's portrait；User's portrait is with life cycle, source
Data can be over time change and change, for the apparent overview depicted in user's a period of time recently, need to
Family portrait is regularly updated；
Step 4, judge whether update user portrait, if update, return to step 2；If not updating, step 5 is skipped to；
Step 5, foundation user's portrait set up two points of k-means customer groupings models and Apriori-B relation analysis models；
The quality of step 6, two points of k-means customer groupings models of assessment and Apriori-B relation analysis models, if reaching
Standard, then skip to step 7；If below standard standard, assessment is trained and continues；
Step 7, enforcement mining model obtain corresponding conclusion, and conclusion includes that hot item, user increase and active period；
Step 8, visual presentation and Analysis of conclusion are carried out to conclusion, Analysis of conclusion includes aiding in usage mining, business point
Analysis, resource are precisely pushed；
Step 9, print on demand and Push Service are realized according to Analysis of conclusion.
Intelligent subscriber tag systems disclosed by the invention and implementation method, operation system, APP from Publication Enterprises and micro-
Letter public number end obtains data, carries out data prediction by the data center of basal layer.Set up by the analysis layer of Business Logic
User tag system, and data model generation user's portrait is set up by analytic unit, each user's portrait has certain life
Deposit the phase, for example, change that the data such as geographical position, hobby may be over time and change, for apparent description
The overview gone out in client's a period of time recently must realize regularly updating for customer portrait；Build according to the customer portrait in life cycle
Two points of k-means customer groupings models and Apriori-B relation analysis models are found, the quality of assessment models is until reach respectively
Standard, is then carried out the conclusion such as growth of hot item, user, active period etc. that mining model meets with a response, and the conclusion passes through
Several analysis engines in operation layer carry out visual displaying；Several operation systems in application layer are according to conclusion in operation layer
Analysis, realize the digital content services of print on demand and personalization with reference to the present situation in produce reality, finally lift user
Experience, reduction enterprise marketing cost.
The preferred embodiments of the present invention are these are only, the present invention is not limited to, for those skilled in the art
For member, the present invention can have various modifications and variations.All any modifications within the spirit and principles in the present invention, made,
Equivalent, improvement etc., should be included within the scope of the present invention.
Claims (9)
1. a kind of intelligent subscriber tag systems, it is characterised in that include：Basal layer, Business Logic, application layer and represent layer；
The basal layer is made up of data center, and the data center is used to gather source data, source data is carried out cleaning, mistake
Filter, and the source data that cleaning is filtered is stored；It is basic that the source data packet includes the service data information of Publication Enterprises, user
Information and user behavior information；
The Business Logic is made up of analysis layer, operation layer, and the analysis layer sets up user tag system according to source data, point
Analysis user behavior track, obtains corresponding conclusion；The layer of runing is for carrying out visual presentation and Analysis of conclusion to conclusion；Institute
State conclusion include hot item, user increase and active period, the Analysis of conclusion include aid in usage mining, operational analysis,
Resource is precisely pushed；
The application layer is constituted by convergence platform is published, and the convergence platform of publishing is realized on demand according to the Analysis of conclusion of operation layer
Publish and Push Service；
The represent layer is used as exchanging bridge between user and intelligent subscriber tag systems.
2. intelligent subscriber tag systems as claimed in claim 1, it is characterised in that the data center includes data acquisition list
Unit, data processing unit and data storage cell；
The data acquisition unit is used to gather source data；
The data processing unit is for carrying out cleaning, filter to source data；
The data storage cell is stored for the source data to cleaning filtration.
3. intelligent subscriber tag systems as claimed in claim 1, it is characterised in that the analysis layer includes user tag system
With behavior analysiss component；
The user tag system is set up according to the source data of data center；
The behavior analysiss component generates user's portrait according to user tag Establishing data model；The data model bag
ID, time, behavior type, contact point are included, the contact point includes network address and content；User's portrait is with existence
Phase, which is updated according to the renewal of source data；
Two points of k-means customer groupings models and Apriori-B relation analysis models are set up according to the user's portrait in life cycle,
And assess the quality of two points of k-means customer groupings models and Apriori-B relation analysis models；
Implement two points of k-means customer groupings models and Apriori-B relation analysis models both mining models, obtain phase
Answer customer grouping analysis report.
4. intelligent subscriber tag systems as claimed in claim 1, it is characterised in that the operation layer includes content-preference engine
Component, business marketing analysis engine component and marketing effectiveness evaluation component；
The content-preference engine module is for giving user recommended user digital resource interested；
The business marketing analysis engine component is used to provide the most popular digital resource of edition unit analysises, most suitable push
The time period of content；
The marketing effectiveness evaluation component is used to providing edition unit analysises and rises the click of powder, dry linting situation and all types of resources
Amount, sales situations.
5. intelligent subscriber tag systems as claimed in claim 4, it is characterised in that the publication convergence platform is included in numeral
Hold structuring processing subsystem, digital publishing ERP subsystems and digital content operation platform；
The digital content structuring processing subsystem is marked, is embedded in for paper resources are digitized with conversion, structuring
Standardized management coding, generation meet cross-platform, multiple terminals, issue the digital publication of call format by all kinds of means；
The digital publishing ERP subsystems are controlled for the workflow to publishing；
The digital content structuring processing subsystem, digital publishing ERP subsystems combine content-preference engine group in operation layer
Part, business marketing analysis engine component and marketing effectiveness evaluation component realize the print on demand of Publication Enterprises；
The digital content operation platform by digital publication classify it is one-stop be supplied to user, and combine the content in operation layer
Preference engine module realizes the accurate Push Service of content.
6. intelligent subscriber tag systems as claimed in claim 1, it is characterised in that the represent layer includes PC ends webpage, micro-
Letter public number and APP.
7. a kind of implementation method of the intelligent subscriber tag systems as any one of claim 1-6, it is characterised in that bag
Include：
Step 1, acquisition source data, and pretreatment is carried out to source data；The source data packet includes the business datum letter of Publication Enterprises
Breath, user basic information and user behavior information；
Step 2, user tag system is set up according to pretreated source data；
Step 3, according to user tag Establishing data model, generate user's portrait；
Step 4, judge whether update user portrait, if update, return to step 2；If not updating, step 5 is skipped to；
Step 5, foundation user's portrait set up two points of k-means customer groupings models and Apriori-B relation analysis models；
The quality of step 6, two points of k-means customer groupings models of assessment and Apriori-B relation analysis models, if reaching mark
Standard, then skip to step 7；If below standard standard, assessment is trained and continues；
Step 7, enforcement mining model obtain corresponding conclusion, and the conclusion includes that hot item, user increase and active period；
Step 8, visual presentation and Analysis of conclusion are carried out to conclusion, the Analysis of conclusion includes aiding in usage mining, business point
Analysis, resource are precisely pushed；
Step 9, print on demand and Push Service are realized according to Analysis of conclusion.
8. the implementation method of intelligent subscriber tag systems as claimed in claim 7, it is characterised in that in step 1, described pre-
Process includes source data is carried out cleaning, filtered, and the source data that cleaning is filtered is stored.
9. the implementation method of intelligent subscriber tag systems as claimed in claim 7, it is characterised in that in step 3, the use
Family portrait with life cycle, the change that source data can be over time and change, to depict user nearest one section in order to apparent
Overview in time, need to regularly update to user's portrait.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611177745.0A CN106548381A (en) | 2016-12-19 | 2016-12-19 | Intelligent subscriber tag systems and implementation method |
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|---|---|---|---|
| CN201611177745.0A CN106548381A (en) | 2016-12-19 | 2016-12-19 | Intelligent subscriber tag systems and implementation method |
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| Publication Number | Publication Date |
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| CN106548381A true CN106548381A (en) | 2017-03-29 |
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ID=58397274
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| CN201611177745.0A Pending CN106548381A (en) | 2016-12-19 | 2016-12-19 | Intelligent subscriber tag systems and implementation method |
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Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN113516500A (en) * | 2021-04-23 | 2021-10-19 | 深圳市威斯登信息科技有限公司 | Implementation method and system based on big data business and travel operation platform |
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| CN107203910A (en) * | 2017-05-27 | 2017-09-26 | 科技谷（厦门）信息技术有限公司 | A kind of big data intelligent accurate marketing system |
| CN107729407A (en) * | 2017-09-26 | 2018-02-23 | 平安科技（深圳）有限公司 | User behavior analysis method and server |
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| CN108829721A (en) * | 2018-05-08 | 2018-11-16 | 浪潮软件集团有限公司 | Scientific and technological user portrait construction method and system based on data model |
| CN109002470A (en) * | 2018-06-12 | 2018-12-14 | 东方银谷（北京）投资管理有限公司 | Knowledge mapping construction method and device, client |
| CN108830704A (en) * | 2018-06-28 | 2018-11-16 | 中国建设银行股份有限公司 | Supervise identity configuration method and device |
| CN109191186A (en) * | 2018-08-16 | 2019-01-11 | 安徽超清科技股份有限公司 | A kind of intelligent recommendation system based on big data |
| CN109358847A (en) * | 2018-09-26 | 2019-02-19 | 中国海洋石油集团有限公司 | A kind of Business Management Platform |
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| CN109711892A (en) * | 2018-12-28 | 2019-05-03 | 浙江百应科技有限公司 | The method for automatically generating client's label during Intelligent voice dialog |
| CN110009416A (en) * | 2019-04-02 | 2019-07-12 | 安徽筋斗云机器人科技股份有限公司 | A kind of system based on big data cleaning and AI precision marketing |
| CN110532309B (en) * | 2019-07-15 | 2022-05-03 | 浙江工业大学 | Generation method of college library user portrait system |
| CN110532309A (en) * | 2019-07-15 | 2019-12-03 | 浙江工业大学 | A kind of generation method of Library User's portrait system |
| CN110399988A (en) * | 2019-07-31 | 2019-11-01 | 中国工商银行股份有限公司 | Equipment portrait generation method and system |
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| CN110908983A (en) * | 2019-10-24 | 2020-03-24 | 南京猫酷科技股份有限公司 | Intelligent marketing system based on user portrait recognition |
| CN111400375A (en) * | 2020-03-19 | 2020-07-10 | 畅捷通信息技术股份有限公司 | Business opportunity mining method and device based on financial service data |
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| CN113762994A (en) * | 2020-06-08 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Method and device for user operation management |
| CN111694874A (en) * | 2020-06-17 | 2020-09-22 | 科技谷（厦门）信息技术有限公司 | User behavior analysis system based on big data platform |
| CN111814903A (en) * | 2020-07-21 | 2020-10-23 | 上海数鸣人工智能科技有限公司 | Method for analyzing user sensitivity to marketing activities based on DPI clustering |
| CN111814903B (en) * | 2020-07-21 | 2022-04-01 | 上海数鸣人工智能科技有限公司 | Method for analyzing user sensitivity to marketing activities based on DPI clustering |
| CN113516500A (en) * | 2021-04-23 | 2021-10-19 | 深圳市威斯登信息科技有限公司 | Implementation method and system based on big data business and travel operation platform |
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