CN106327296A - Fan performance mode method based on big data of user demands - Google Patents
Fan performance mode method based on big data of user demands Download PDFInfo
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- CN106327296A CN106327296A CN201610674750.6A CN201610674750A CN106327296A CN 106327296 A CN106327296 A CN 106327296A CN 201610674750 A CN201610674750 A CN 201610674750A CN 106327296 A CN106327296 A CN 106327296A
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- 238000000034 method Methods 0.000 title claims abstract description 13
- 239000000463 material Substances 0.000 claims description 5
- 230000001419 dependent effect Effects 0.000 claims 3
- 238000004458 analytical method Methods 0.000 abstract description 3
- 239000003999 initiator Substances 0.000 abstract description 3
- 230000003993 interaction Effects 0.000 abstract 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
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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
- G06Q10/02—Reservations, e.g. for tickets, services or events
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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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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Abstract
The invention provides an entertainment interaction mode, specifically a fan performance mode method based on the big data of user demands. The method employs the following modules: a user registration module, a user logging-in certification module, a user reserving module, a reserving data dynamic analysis module, a user crowd funding module, and a project execution module; The method takes a user as the initiator for the first time, and takes the big data of user demands as the basis from the bottom to the top. The reserving data dynamic analysis effectively prevents minority demand projects from being excessive, and greatly improves the success rates of the user crowd funding module and the project execution module. The method opens up a big data fan performance mode for meeting the user demands.
Description
Technical field:
The present invention relates to performance pattern field, particularly relate to the performance financial product platform with user as initiator.
Technical background:
Culture performance industry needs to constantly bring forth new ideas, and finds oneself pattern applicable, realizes people in the way of rationally innovation
Entertainment demand, social demand.In present mode, minority's project demands is numerous, lacks system mechanism, causes success rate inclined
Low.Intention of the present invention solve this problem, first with user as initiator, by reservation module dynamic data analyze,
Effectively prevent spreading unchecked of minority's demand item, greatly improve described crowd and raise module and perform the success rate of module, start
A kind of big data vermicelli performance pattern of new user's request.
Summary of the invention:
The present invention is directed to the deficiencies in the prior art, it is provided that a kind of big data vermicelli based on user's request performance pattern side
Method.
For achieving the above object, the invention provides techniques below scheme, including:
User registration module, it is characterised in that first user searches and finds that star interested (includes but not limited to hot
Star), then user enters system and is registered as member by Registering modules, and this module user needs to provide personal information, logical
Cross described user registration module and complete the registration of new user.
User log-in authentication module, it is characterised in that after having registered, user enters login module and carries out member and recognize safely
Card logs in, and user provides the personal information such as cell-phone number.
User preengages module, it is characterised in that user can preengage the star liked and open concert, and user is by described
Star interested is initiated reservation by reservation module, and reservation data is dynamically analyzed module in described reservation data and screened.With
Family reservation module includes obtaining submodule, obtains submodule and raises solicited message for getting the crowd performed for specific star.
Described reservation data dynamically analyzes module, it is characterised in that dynamically analyze module by described reservation data complete
Reservation data is dynamically analyzed in pairs, filters out high popularity reservation project, it is judged that whether described specific star performance meets adds
Enter crowd and raise Sharp criteria.Raising module by described user crowd mobilizes crowd to raise high popularity project, performs described specific star
Association third party's client end interface display crowd raise mark.Reservation data is dynamically analyzed module and be effectively prevent minority's demand item
Spread unchecked, described crowd is greatly improved and raises module and perform module success rate.
User crowd raises module, it is characterised in that raise module by described user crowd, and described reservation data is dynamically divided by user
Analysis module high popularity reservation project mobilizes crowd to raise, and raises project crowd and reaches to raise after capital amount in target date, enters concrete item
Mesh performs module.User crowd raises module and includes that crowd raises statistics submodule, for obtaining third party's client root in preset time
Raise according to described crowd and identify the crowd to described specific star performance and raise and help money result, and to helping money result to add up, to statistics
As a result, the crowd to described specific star performance raises result and carries out common crowd and raise or super crowd the classification of type such as raises and processes.
Performing module, it is characterised in that complete to raise crowd the project implementation by described execution module, user holds by landing
Row module obtains material or immaterial result feedback.
Dynamically analyzed module to complete reservation data is dynamically analyzed by reservation data, filter out high popularity reservation item
Mesh, raises module by described user crowd and mobilizes crowd to raise high popularity project, the association third party of described specific star performance
Client end interface display crowd raises mark, data analysis and performance pattern being combined of this module intention.
First the present invention gets the crowd performed for specific star and raises solicited message, raises solicited message according to described crowd and sentences
Whether disconnected described specific star performance meets addition crowd is raised Sharp criteria, if meeting, then starts the crowd of described specific star performance
Raising operation, the association third party's client display crowd in described specific star performance raises mark；The is obtained in preset time period
Tripartite's client is raised according to described crowd and is identified the crowd to described specific star performance and raise and help money result, and helps money result to enter to described
Row statistics, according to the result of statistics, the crowd performing described specific star raises result and carries out classification process；Then according to described crowd
Raise solicited message and judge whether described specific star performance meets addition crowd and raise Sharp criteria, if meeting, then starts described specific
The crowd of star's performance raises operation, and the association third party's client end interface display crowd in described specific star performance raises mark, specifically
Including: raise solicited message according to described crowd and judge whether described specific star registers, if registered, then raise platform by online crowd
Server end or described specific star performance association third party's client terminal start-up described in specific star performance crowd raise operation,
Association third party's client end interface display crowd in described specific star performance raises mark；Preferably, drill described specific star
The association third party's client end interface display crowd gone out raises mark and specifically includes: by graph text information, the crowd of described specific star performance
Raise data and show the association third party's client end interface in described specific star performance.Third party visitor is obtained in preset time period
Family end is raised according to crowd and is identified the crowd to described specific star performance and raise and help money result, and helps money result to add up to described；Right
The result of statistics, raises result and carries out common crowd and raise or super crowd raises etc. at the classification of type the crowd of described specific star performance
Reason；The described crowd of the described specific star performance after classification being processed raises result and raises the form of mark described specific with described crowd
Association third party's client end interface of star's performance shows.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this
Bright schematic description and description is used for explaining the present invention, is not intended that inappropriate limitation of the present invention.In accompanying drawing:
Fig. 1: flow chart of the present invention
Fig. 2: product schematic diagram of the present invention
Detailed description of the invention
The technical scheme provided the present invention below in conjunction with the accompanying drawings illustrates in more detail, and the present invention provided appoints
Any two or more technological means or technical characteristic that one technological means is replaced or the present invention is provided are carried out mutually
The technical scheme combined and obtain all should be within protection scope of the present invention.
Below by embodiment, embodiment of the present invention is described in detail: big data vermicelli based on user's request is drilled
Exit pattern, preengages module, reservation data dynamically analyze module, use including user registration module, user log-in authentication module, user
Family crowd raises module, project implementation module.It includes that following operating procedure: S1, user search and finds star interested, including but
It is not limited to hot star；S2, user enter system and are registered as member by Registering modules, and this module user needs to provide individual
Information, after having registered, user enters login module and carries out member's safety certification login；S3, user are by preengaging module to sense
The star of interest initiates reservation；S4, reservation data are dynamically analyzed module and are analyzed user's reservation data, filter out high popularity
Reservation project；S5, raised module by user crowd and mobilize crowd to raise described high popularity project；If S6, crowd raise project at target date
Inside reaching capital amount of raising, enter detailed programs and perform module, user can obtain material or immaterial achievement by performing module
Feedback.
Application in concrete example is as follows: big data vermicelli based on user's request performance pattern, first user are searched and sent out
Existing star interested, then user enters system and is registered as member by Registering modules, and this module user needs to provide individual
People's information, after having registered, user enters login module and carries out member's safety certification login.After logining successfully, user passes through institute
Star interested is initiated reservation by the reservation module stated, and then reservation data is dynamically analyzed module and carried out user's reservation data
Analyze, filter out high popularity reservation project, raise module by described user crowd and mobilize crowd to raise, crowd described high popularity project
Project of raising reaches to raise after capital amount in target date, enters detailed programs and lands execution module, and user is by landing execution mould
Block obtains material or immaterial result feedback.
Finally should be noted that: above example is only in order to illustrate that technical scheme is not intended to limit；To the greatest extent
The present invention has been described in detail by pipe with reference to preferred embodiment, and those of ordinary skill in the field are it is understood that still
The detailed description of the invention of the present invention can be modified or portion of techniques feature is carried out equivalent；Without deviating from this
The spirit of bright technical scheme, it all should be contained in the middle of the technical scheme scope that the present invention is claimed.
Claims (4)
1. vermicellis based on the big data of a user's request performance mode method, it is characterised in that including:
User registration module: first user searches and finds star interested, then user is entered system and is noted by Registering modules
Volume becomes member, is completed the registration of new user by described user registration module；
User log-in authentication module: after having registered, user enters login authentication module and carries out member's safety certification login；
User preengages module: user can preengage the star liked and open concert, and user is emerging to sense by described reservation module
The star of interest initiates reservation, and reservation data is dynamically analyzed module in reservation data and screened；
Reservation data dynamically analyzes module: dynamically analyzes module by described reservation data and dynamically analyzes reservation data,
Filter out high popularity reservation project, it is judged that whether described specific star performance meets addition crowd is raised Sharp criteria；
User crowd raises module: raises module by described user crowd and mobilizes crowd to raise high popularity project, drills described specific star
The association third party's client end interface display crowd gone out raises mark, raises module by described user crowd, and user is to described reservation data
Dynamically analyzing module high popularity reservation project mobilizes crowd to raise, and raises project crowd and reaches to raise after capital amount in target date, enters
Detailed programs perform module.
Performing module, complete to raise crowd the project implementation by described execution module, user obtains material or non-by performing module
Material achievement is fed back.
2. claim 2 is the dependent claims of claim 1, and its additional technical feature limited further is as described use
Family reservation module includes obtaining submodule, obtains submodule and raises solicited message for getting the crowd performed for specific star.
3. claim 3 is the dependent claims of claim 1, and its additional technical feature limited further is as described use
Family crowd raises module and includes that crowd raises statistics submodule, raises mark for obtaining third party's client in preset time according to described crowd
The crowd performing described specific star raises and helps money result, and to helping money result to add up, according to the result of statistics, to specific bright
Star performance crowd raise result carry out common crowd raise or super crowd raise type classification process.
4. claim 4 is the dependent claims of claim 3, its additional technical feature limited further as:
The association third party's client end interface performed specific star shows that crowd raises mark and specifically includes: described specific star drilled
The graph text information, the crowd that go out raise data and show the association third party's client end interface in described specific star performance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610674750.6A CN106327296A (en) | 2016-08-17 | 2016-08-17 | Fan performance mode method based on big data of user demands |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610674750.6A CN106327296A (en) | 2016-08-17 | 2016-08-17 | Fan performance mode method based on big data of user demands |
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| Publication Number | Publication Date |
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| CN106327296A true CN106327296A (en) | 2017-01-11 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201610674750.6A Pending CN106327296A (en) | 2016-08-17 | 2016-08-17 | Fan performance mode method based on big data of user demands |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107492013A (en) * | 2017-08-16 | 2017-12-19 | 上海芽孢文化传播有限公司 | A kind of entertainment ticketing service platform and crowd raise ticketing method |
| CN109389526A (en) * | 2017-08-05 | 2019-02-26 | 成都柏硕文化传播有限公司 | Mode, Culture Marketing and the method, apparatus of operation and server of music entertainment culture |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105227434A (en) * | 2015-07-27 | 2016-01-06 | 曾劲柏 | The network social intercourse system that a kind of knowledge based crowd raises |
| CN105657469A (en) * | 2015-12-30 | 2016-06-08 | 广州华多网络科技有限公司 | Online crowd funding method, platform and system based on network video broadcast |
| CN105787287A (en) * | 2016-05-06 | 2016-07-20 | 广州爱九游信息技术有限公司 | System, equipment, device and method for generating list data |
-
2016
- 2016-08-17 CN CN201610674750.6A patent/CN106327296A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105227434A (en) * | 2015-07-27 | 2016-01-06 | 曾劲柏 | The network social intercourse system that a kind of knowledge based crowd raises |
| CN105657469A (en) * | 2015-12-30 | 2016-06-08 | 广州华多网络科技有限公司 | Online crowd funding method, platform and system based on network video broadcast |
| CN105787287A (en) * | 2016-05-06 | 2016-07-20 | 广州爱九游信息技术有限公司 | System, equipment, device and method for generating list data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109389526A (en) * | 2017-08-05 | 2019-02-26 | 成都柏硕文化传播有限公司 | Mode, Culture Marketing and the method, apparatus of operation and server of music entertainment culture |
| CN107492013A (en) * | 2017-08-16 | 2017-12-19 | 上海芽孢文化传播有限公司 | A kind of entertainment ticketing service platform and crowd raise ticketing method |
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Effective date of registration: 20170522 Address after: 100025 No. 2 hospital, Liyuan North Street, Liyuan, Beijing, Chaoyang District 1A213 Applicant after: Fan Yue Address before: Beijing, Chaoyang District Gaobeidian township eight Li Zhuang village, Chen Jialin, No. 2, block A, room 109 Applicant before: Beijing Zhongzhi Technology Co. Ltd. |
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Application publication date: 20170111 |
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