CN108805383A - A kind of user's portrait platform and application for washing shield big data based on clothes - Google Patents

A kind of user's portrait platform and application for washing shield big data based on clothes Download PDF

Info

Publication number
CN108805383A
CN108805383A CN201810232219.2A CN201810232219A CN108805383A CN 108805383 A CN108805383 A CN 108805383A CN 201810232219 A CN201810232219 A CN 201810232219A CN 108805383 A CN108805383 A CN 108805383A
Authority
CN
China
Prior art keywords
data
user
portrait
clothes
platform
Prior art date
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.)
Pending
Application number
CN201810232219.2A
Other languages
Chinese (zh)
Inventor
丁雪梅
陈瑾
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Donghua University
National Dong Hwa University
Original Assignee
Donghua University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Donghua University filed Critical Donghua University
Priority to CN201810232219.2A priority Critical patent/CN108805383A/en
Publication of CN108805383A publication Critical patent/CN108805383A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0255Targeted advertisements based on user history

Landscapes

  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Engineering & Computer Science (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Theoretical Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Educational Administration (AREA)
  • Data Mining & Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to a kind of user's portrait platforms for washing shield big data based on clothes, which is characterized in that including data active layer, data collection layer, data management layer, data mining layer and business model layer.There is provided a kind of applications of above-mentioned user's portrait platform that shield big data is washed based on clothes for another technical solution of the present invention, it is characterized in that, when the user draws a portrait Mining Platform of the platform as single enterprise, other data sources that Internet of Things data is drawn a portrait as the user on platform, supplement user portrait and product portrait;When the user draws a portrait platform involvement Internet of Things, clothes wash shield database and the clothes for supplementing user are washed shield information.The present invention gets through user, clothes, clothes wash the data flow between shield class household electrical appliances, helps enterprise to have the initiative in hands in precision marketing, product design and in terms of determining the priority of business model, provides better products & services to the user;Meanwhile washing shield Internet of Things for structure clothes and laying the foundation, realize the commercial value of enterprise.

Description

A kind of user's portrait platform and application for washing shield big data based on clothes
Technical field
The present invention relates to a kind of user's portrait platforms for washing shield big data based on clothes, can be used for clothes and wash shield class household electrical appliances enterprise User's portrait platform of industry is established, and is belonged to and is washed shield big data technology and internet of things field.
Background technology
With big data, the development of smart home service, the blending of people and object is more comprehensive, and big data technology is continuous Extend to every field, expands application range.The development of big data industry has opened up enterprise and has obtained data source and processing data Method, enterprise can obtain more user's samples, make user model more and more precisely and comprehensively.
The washing of clothes is nursed as the important ring in clothes Life cycle, and audient is wide, demand is high.And Intellectual garment Dress washes the important carrier that shield class household electrical appliances wash shield as clothes, records the behavioural habits information that user's clothes wash shield, every year thus And the data volume and its huge generated, wash shield behavior if can fully excavate clothes and wash user's clothes that shield class household electrical appliances hide behind Data carry out major transformation in conjunction with Internet of Things big data by protecting band is washed to the clothes of user.
User, which draws a portrait, can be understood as the process of a user information labeling, the kind actively or passively left by user Kind of data, are processed into a series of label, by taking out the information overall picture of a user, understand user demand, preference number According to analysis method.Currently, user's Portrait brand technology method is mainly used for internet, data analysis operation field, and clothes wash protector for collar The big data in domain does not give full play to value, and the clothes Xi Hu classes such as many washing machines, dryer, presses household appliances enterprise, which understands, to be used The clothes at family wash shield demand still visited by user, the forms such as questionnaire granting, but this form is faced with two kinds of problems:1. people The consumption of power material resources is big, and it is limited to visit number, it is difficult to take a part for the whole;2. questionnaire topic carries inductivity, user is easy to basis The thinking of investigator makes the selection under non-genuine situation.
Currently, intelligent to have become the development trend that each household appliances enterprise follows the epoch closely, still, using mobile phone as the intelligence of medium Can household appliances enter after consumer family, be really activated by a user less than 20%, half a year later still using intelligent appliance User less than 5%.Garment care household appliances enterprise enthusiasm is put into surgingly, and user but cannot preferably wash watch box and test, and is relied on It is being abandoned by consumer in the intelligent appliance of mobile phone.It can be seen that the developing direction that intelligent clothing washes shield will be from single, passive Ground responds, and is converted into and actively meets the various clothes of user and wash shield demand.
User's clothes wash the proposition of shield portrait platform, are mostly derived from enterprise and thirst for the cognition of user's garment care demand, Around the development of enterprise, there are two main classes for the key problem of concern, " how user being allowed to prefer product " and " how product It is sold to suitable people ", the important way for solving the problems, such as this is exactly that structuring user's clothes wash shield portrait, allows enterprise that can understand user Clothes wash the shield complete period, and then bring for user and preferably wash shield products & services.
Invention content
The purpose of the present invention is:User's clothes, which are built, by big data washes shield portrait, the clothes for excavating user wash shield demand, It allows user to obtain better Product Experience and washes shield service, washing shield Internet of Things for structure clothes lays the foundation.
In order to achieve the above object, a technical solution of the invention washing shield big data there is provided a kind of based on clothes User's portrait platform, which is characterized in that including data active layer, data collection layer, data management layer, data mining layer and business mould Formula layer, wherein:
(1) data active layer:The existing data acquisition channel of enterprise is integrated, number is obtained by the channel after integration According to, and probed into from the data of acquisition and wash the shield relevant data source of data with user;
(2) data collection layer:Four classifications of data point obtained to data source are acquired, and four classifications are respectively to use User data collection, interaction data collection, Product Data Set and external data collection, wherein:
User data set refers to user attribute data, the basic condition current for showing user;
Interaction data collection refers to the behavior record that intersection occurs between user and product, and is brought by this intersection;
Product Data Set includes product sales data and particular product performance parameters;
External data collection refers to the data set that can be obtained in addition to business system,;
(3) data management layer:In the way of Affinity diagram, on the basis of four major class data set of data collection layer, according to Closeness relation carries out induction-arrangement to data and cleans input between data;
(4) data mining layer:It is made of Data Mining part and data modeling part, Data Mining part is according to research mesh Data management layer call related data, using means of numerical analysis Primary Construction label system, and according to Product Data Set Product portrait is built, data modeling part creates user's portrait model using label system, and combines the production of Data Mining part Product are drawn a portrait, structure new product portrait;
(5) business model layer:According to the conclusion that data mining layer obtains, the business positioning and operation machine of this enterprise are determined System, to realize enterprise value.
Preferably, the data source includes inside data of enterprise source and enterprise external data source.
Preferably, the inside data of enterprise source derives from enterprise management system, mobile application and official of enterprise store;Institute It states enterprise external data source and derives from third party's sales platform, affiliate's shared data and Internet of Things data.
Preferably, the interaction data collection buys the purchase data in product stage by user and uses the product by the user the stage It is constituted using data.
Preferably, the purchase data include the sales figure provided by official website or third party's sales platform;It is described The included equipment computer board of the mobile application for being interacted with product or product that are used by user using data is provided.
Preferably, the external data collection derives from shared data, the average data of industry or the Internet of Things of affiliate Data.
Preferably, the user data set and the Product Data Set belong to static data, are directly used in structure label;Institute It states interaction data collection and external data integrates as dynamic data, it can time to time change.
Preferably, the core of the data modeling part is to build the label system of user's portrait, the key of label information It is weight index, which indicates the probability that is, user belongs to the label is how many by 0 to 1 numerical value.
Preferably, it is drawn by the user of the operating mechanism of the business model layer and data mining layer portrait, product As establishing new product portrait jointly.
There is provided a kind of above-mentioned user's portraits that shield big data is washed based on clothes for another technical solution of the present invention The application of platform, which is characterized in that user's portrait platform interacts with Internet of Things, when user portrait platform conduct When the Mining Platform of single enterprise, other data sources that Internet of Things data is drawn a portrait as the user on platform, supplement user draws Picture and product portrait;When the user draws a portrait platform involvement Internet of Things, the data information in terms of user's clothes wash shield will be supplemented.
Platform provided by the invention is to wash shield big data in conjunction with clothes on the basis of user's Portrait brand technology method, is divided Go out user data set, Product Data Set, the interaction data collection between user and product and external data collection, it is established that the big number come According to Mining Platform.The essence of the platform is that user's portrait, product portrait and new product portrait is allowed to be presented in enterprise with all " visualizing " In front, it is that enterprise instructs Innovative Development strategic.
The present invention has the advantages that:
1, product design:User's is widely different, so subscriber segmentation is carried out, by user's portrait it will be seen that each Focus is placed on target by the key feature of user group to allow research staff to cast aside personal like in product design process In the demand of user, the product for meeting the market demand is developed.
2, precision marketing:Enterprise can wash the feature that subscriber segmentation is showed on shield portrait platform according to clothes and carry out essence Quasi- marketing, caters to his tastes and carries out personalized recommendation to user;In addition, with the development of " intelligence manufacture ", enterprise can be by product Module is split, and is independently selected to place an order by customer, and enterprise carries out assembling product dispatching, and the passive receiving of customer is become actively selecting It selects, develops to " high-end intelligence is made ".
3, business model:User's portrait can help the clear business of enterprise to position, and surround location feature, the operation machine of enterprise Make it is very clear, how conformity of business operation system, which keystone resources have, and how to be applied to the exploitation design of product, for enterprise Industry provides most effective profit model, and then realizes the commercial value of enterprise.
4, Internet of Things:The data management layer of the platform includes that a large amount of user's clothes wash shield data, as user's clothes Wash shield database.With the development of shared data, more and more databases open to form Internet of Things, and clothes wash shield database The blank that user's clothes wash shield data can be supplemented, washing shield Internet of Things for structure clothes lays the foundation, simultaneously, moreover it is possible to push " ten thousand The development of object interconnection ".
User's clothes of the present invention wash shield portrait platform, have got through user, clothes, clothes wash number between shield class household electrical appliances According to stream, helps enterprise to have the initiative in hands in terms of the priority of precision marketing, product design and determining business model, carried for user For better products & services;Meanwhile washing shield Internet of Things for structure clothes and laying the foundation, realize the commercial value of enterprise.
Description of the drawings
Fig. 1 is a kind of structural schematic diagram of user's portrait platform for washing shield big data based on clothes in the present embodiment;
Fig. 2 is the user data set schematic diagram of data management layer in the present embodiment;
Fig. 3 is the interaction data collection schematic diagram of data management layer in the present embodiment;
Fig. 4 is the Product Data Set schematic diagram of data management layer in the present embodiment;
Fig. 5 is the external data collection schematic diagram of data management layer in the present embodiment;
Fig. 6 is that a kind of user being washed shield big data based on clothes application of the platform in Internet of Things of drawing a portrait is shown in the present embodiment It is intended to.
Specific implementation mode
In order to make the present invention more obvious and understandable, hereby with preferred embodiment, and attached drawing is coordinated to be described in detail below.
Referring to Fig. 1, the present invention washes shield portrait platform as embodiment, by data shelf using washing machine enterprise structure user's clothes Structure is divided into five layers, is data active layer, data collection layer, data management layer, data mining layer and business model layer respectively, implements Mode is as follows:
1, data active layer:Structure user's clothes wash the purpose that shield is drawn a portrait and are really and comprehensively to reflect user information, this It just needs to summarize related data in all its bearings, data volume is abundanter, and content is more comprehensive, and the user's portrait sketched the contours of is more accurate Really.Washing machine enterprise summarizes all data sources first, and data source mainly includes the management data of enterprises, official quotient The product and sales data of city or third-party platform, mobile application data, the shared data of affiliate and other external datas Deng different enterprises are depending on actual conditions.
2, data collection layer:The mass data obtained according to data source is acquired by four major class, is user respectively Data set, interaction data collection, washing machine data set and external data collection.
3, data management layer:In the way of Affinity diagram, on the basis of four major class data set of data collection layer, according to number Classified finishing, including user data set, interaction data collection, washing machine data set and external data are carried out according to a similar relationship Collection, main contents are as follows:
A) user data set:Referring to Fig. 2, data of the user attribute data as user's most original, can show user Current basic condition, any enterprise are intended to specifically and comprehensively understand user, and still, the obtainable user information of enterprise is simultaneously Seldom, because being directed to privacy of user, for the data that can not be obtained, can be speculated by data label.
B) interaction data collection:Referring to Fig. 3, interaction refers to that intersection occurs between user and washing machine, and by this intersection band The behavior record come.Interaction data collection is mainly made of two parts, is that user buys the washing machine stage and user uses respectively The washing machine stage.User buys the washing machine stage, and behavioral data is mainly recorded by official website or third party's sales platform, from Middle enterprise is recognized that the product preference of user, buys the information such as approach and ship-to;User uses the washing machine stage, Behavioral data is mainly provided by the equipment computer board of mobile application or washing machine, and therefrom enterprise is recognized that the clothes of user are washed Protect custom, wash shield demand, washing frequency and washing cycle etc..
C) washing machine data set:Referring to Fig. 4, washing machine data set include sales situation, basic parameter, washing capacity and Other parameters sell interface from the Product Management System of enterprises, website.Wherein, washing machine attribute is static number According to structure washing machine portrait can be directly used in as label, and sales data can intuitively reflect the welcome of this washing machine Degree.It, can be more as the data supplement for washing shield portrait platform although washing machine data set is not direct related to the feature of user Intuitively show the relationship between user and washing machine.
D) external data collection:Referring to Fig. 5, external data collection is the data set that can be obtained in addition to business system, The approach of acquisition is various, be probably derived from the shared data of affiliate, the average data of industry or Internet of Things data, enterprise can According to the business needs of oneself, significant data is added in external data, to understand more on the basis of washing shield portrait group Comprehensive information.
4, data mining layer:According to the research purpose of enterprise, corresponding data are transferred from data management layer, are dug by text The modes such as pick, machine learning, Primary Construction label system, it is by 0~1 numerical tabular that each label, which has corresponding algorithm, label, Show, i.e., the probability that user belongs to the label be it is how many, increase that the weight of label may be at any time and reduce, a such as user makes Behavior weight with child's lock is 1.0, the use of the behavior weight that baby child's pattern is washed is 0.95, decay factor 0.9, then the user There is probability=1*0.95*0.9=0.85 of child in family.By building label system, user will possess many labels, look forward to as a result, Industry is apparent that the user of oneself is that feature group, the washing machine purchased then in conjunction with this feature crowd is presented The data such as basic parameter, washing capacity, buying pattern build new washing machine portrait;
5, business model layer:When enterprise finds out the existing user and potential user of oneself, the particular needs of certain user group are locked It asks, using the best steel to make the knife's edge, so that it may which to complete the first step of business model, i.e., business positions.Washing machine enterprise is around positioning Operating mechanism is arranged in feature, finds keystone resources, and conformity of business operation system is applied to designing and developing for product, and development most has The profit model of effect, and then realize the commercial value of enterprise.
A kind of user's portrait platform for being washed shield big data based on clothes in the present embodiment is drawn a portrait user, product is drawn a portrait, It is presented in face of enterprise to new product portrait " visualization ", instructs Innovative Development strategic for enterprise, meeting customer demand, be to care for Visitor creates and constructs a bridge block between value and realization maximum enterprise value, realizes:
Product design:On this platform, user has been got through, clothes, clothes wash the shield triangular relationship of class household electrical appliances, intuitively Which type of clothes shows what kind of user has wash shield feature, likes which type of existing product, according to user portrait and The information of original product portrait summarizes, and flows back in conjunction with the information of business model layer, the existing keystone resources of comprehensive descision enterprise, business Form etc. establishes new product portrait.
Precision marketing:Enterprise according to the washing habits of user and can wash shield demand, push relevant clothes laundry and protection product Or high-end clothes laundry and protection service, demand and the similar user of behavior can also be found, the intersection for carrying out product mutually pushes away, and promotes user Service experience.In addition, with the development of " intelligence manufacture ", enterprise can also split product module, independently be selected by customer It places an order, enterprise carries out assembling product dispatching, and the passive receiving of customer is become actively selecting, is developed to " high-end intelligence is made ".
Information sharing:Shield portrait is washed by user's clothes, washing machine enterprise breaks the situation of original data dispersion, fully whole Enterprises and external data information are closed, either market department or research and development department etc. can issue on platform in time Or understand newest data information, it allows all members of enterprise that can understand the key feature of user group, is common target Effort.
Internet of Things:Referring to Fig. 6, " all things on earth interconnection " is the trend of era development, smart home is the embodiment of Thingsization, is led to The interaction between user and washing machine is crossed, structure user's clothes wash shield portrait platform, user can also be built with identical pattern Drying portrait platform, user's Ironing portrait platform and the laundry portrait platform of user 020.They be all in itself establish user with Clothes wash the shield associated portrait platform of class household electrical appliances, when enterprise has the ability this four partial data is integrated into a clothes to wash shield platform When, the data between product and user can be built into clothes and wash shield Internet of Things, to keep enterprise really comprehensive and deep The overall process that user's clothes wash shield is seen clearly on ground, and this is also exactly a part indispensable under " all things on earth interconnection ".

Claims (10)

  1. The platform 1. a kind of user being washed shield big data based on clothes is drawn a portrait, which is characterized in that acquired including data active layer, data Layer, data management layer, data mining layer and business model layer, wherein:
    (1) data active layer:The existing data acquisition channel of enterprise is integrated, data are obtained by the channel after integration, and It is probed into from the data of acquisition and washes the shield relevant data source of data with user;
    (2) data collection layer:Four classifications of data point obtained to data source are acquired, and four classifications are respectively number of users According to collection, interaction data collection, Product Data Set and external data collection, wherein:
    User data collection refers to user attribute data, the basic condition current for showing user;
    Interaction data collection refers to the behavior record that intersection occurs between user and product, and is brought by this intersection;
    Product Data Set includes product sales data and particular product performance parameters;
    External data collection refers to the data set that can be obtained in addition to business system,;
    (3) data management layer:In the way of Affinity diagram, on the basis of four major class data set of data collection layer, according to data Between closeness relation data are carried out induction-arrangement and to clean input;
    (4) data mining layer:It is made of Data Mining part and data modeling part, Data Mining part exists according to research purpose Data management layer calls related data, using means of numerical analysis Primary Construction label system, and is built according to Product Data Set Product is drawn a portrait, and data modeling part creates user's portrait model using label system, and the product of Data Mining part is combined to draw Picture, structure new product portrait;
    (5) business model layer:According to the conclusion that data mining layer obtains, the business positioning and operating mechanism of this enterprise are determined, with Realize enterprise value.
  2. The platform 2. a kind of user being washed shield big data based on clothes as described in claim 1 is drawn a portrait, which is characterized in that the number Include inside data of enterprise source and enterprise external data source according to source.
  3. The platform 3. a kind of user being washed shield big data based on clothes as described in claim 1 is drawn a portrait, which is characterized in that the enterprise Industry internal data source derives from enterprise management system, mobile application and official of enterprise store;Enterprise external data source source In third party's sales platform, affiliate's shared data and Internet of Things data.
  4. The platform 4. a kind of user being washed shield big data based on clothes as described in claim 1 is drawn a portrait, which is characterized in that the friendship Mutual data set is bought the purchase data in product stage and is used the product by the user the use data in stage and constituted by user.
  5. The platform 5. a kind of user being washed shield big data based on clothes as described in claim 1 is drawn a portrait, which is characterized in that the purchase It includes the sales figure provided by official website or third party's sales platform to buy data;The use used by user using data It is provided in the equipment computer board that the mobile application or product interacted with product carries.
  6. The platform 6. a kind of user being washed shield big data based on clothes as described in claim 1 is drawn a portrait, which is characterized in that described outer Portion's data set derives from shared data, the average data of industry or the Internet of Things data of affiliate.
  7. The platform 7. a kind of user being washed shield big data based on clothes as described in claim 1 is drawn a portrait, which is characterized in that the use User data collection and the Product Data Set belong to static data, are directly used in structure label;The interaction data collection and external number It, can time to time change according to integrating as dynamic data.
  8. The platform 8. a kind of user being washed shield big data based on clothes as described in claim 1 is drawn a portrait, which is characterized in that the number Core according to modeled segments is to build the label system of user's portrait, and the key of label information is weight index, which refers to Mark indicates the probability that is, user belongs to the label is how many by 0 to 1 numerical value.
  9. The platform 9. a kind of user being washed shield big data based on clothes as described in claim 1 is drawn a portrait, which is characterized in that by described The user of the operating mechanism of business model layer and data mining layer portrait, product portrait establish new product portrait jointly.
  10. The platform 10. a kind of user being washed shield big data based on clothes as described in claim 1 is drawn a portrait, which is characterized in that described Draw a portrait platform and Internet of Things of user interacts, when the user draws a portrait Mining Platform of the platform as single enterprise, Internet of Things Other data sources that network data is drawn a portrait as the user on platform, supplement user portrait and product portrait;When the user draws When incorporating Internet of Things as platform, the data information in terms of user's clothes wash shield will be supplemented.
CN201810232219.2A 2018-03-20 2018-03-20 A kind of user's portrait platform and application for washing shield big data based on clothes Pending CN108805383A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810232219.2A CN108805383A (en) 2018-03-20 2018-03-20 A kind of user's portrait platform and application for washing shield big data based on clothes

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810232219.2A CN108805383A (en) 2018-03-20 2018-03-20 A kind of user's portrait platform and application for washing shield big data based on clothes

Publications (1)

Publication Number Publication Date
CN108805383A true CN108805383A (en) 2018-11-13

Family

ID=64095232

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810232219.2A Pending CN108805383A (en) 2018-03-20 2018-03-20 A kind of user's portrait platform and application for washing shield big data based on clothes

Country Status (1)

Country Link
CN (1) CN108805383A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956536A (en) * 2019-11-25 2020-04-03 北京中电普华信息技术有限公司 Accounting management method and system based on big data application
CN112269932A (en) * 2020-10-30 2021-01-26 金天国际医疗科技有限公司 Big data-based small and medium enterprise resource integration processing system
CN112287016A (en) * 2020-10-19 2021-01-29 天筑科技股份有限公司 Method and system for constructing enterprise view
CN112784070A (en) * 2020-12-31 2021-05-11 重庆空间视创科技有限公司 User portrait method based on big data
WO2023125117A1 (en) * 2021-12-28 2023-07-06 卡奥斯工业智能研究院(青岛)有限公司 Resource scheduling method and system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106354755A (en) * 2016-08-17 2017-01-25 洑云龙 Optimizing and processing method for user's portrait
CN106548375A (en) * 2016-11-04 2017-03-29 东软集团股份有限公司 Method and apparatus for building product portrait
CN106803190A (en) * 2017-01-03 2017-06-06 北京掌阔移动传媒科技有限公司 A kind of ad personalization supplying system and method
CN107368522A (en) * 2017-06-06 2017-11-21 广东广业开元科技有限公司 A kind of big data knowledge think tank's generation method and system based on integration system
CN107423442A (en) * 2017-08-07 2017-12-01 火烈鸟网络(广州)股份有限公司 Method and system, storage medium and computer equipment are recommended in application based on user's portrait behavioural analysis
CN107526754A (en) * 2016-09-26 2017-12-29 广州速鸿信息科技有限公司 A kind of user's portrait platform method for building up based on big data

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106354755A (en) * 2016-08-17 2017-01-25 洑云龙 Optimizing and processing method for user's portrait
CN107526754A (en) * 2016-09-26 2017-12-29 广州速鸿信息科技有限公司 A kind of user's portrait platform method for building up based on big data
CN106548375A (en) * 2016-11-04 2017-03-29 东软集团股份有限公司 Method and apparatus for building product portrait
CN106803190A (en) * 2017-01-03 2017-06-06 北京掌阔移动传媒科技有限公司 A kind of ad personalization supplying system and method
CN107368522A (en) * 2017-06-06 2017-11-21 广东广业开元科技有限公司 A kind of big data knowledge think tank's generation method and system based on integration system
CN107423442A (en) * 2017-08-07 2017-12-01 火烈鸟网络(广州)股份有限公司 Method and system, storage medium and computer equipment are recommended in application based on user's portrait behavioural analysis

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘海: ""大数据时代服装精准营销下的服务策略研究"", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956536A (en) * 2019-11-25 2020-04-03 北京中电普华信息技术有限公司 Accounting management method and system based on big data application
CN112287016A (en) * 2020-10-19 2021-01-29 天筑科技股份有限公司 Method and system for constructing enterprise view
CN112287016B (en) * 2020-10-19 2022-03-11 天筑科技股份有限公司 Method and system for constructing enterprise view
CN112269932A (en) * 2020-10-30 2021-01-26 金天国际医疗科技有限公司 Big data-based small and medium enterprise resource integration processing system
CN112784070A (en) * 2020-12-31 2021-05-11 重庆空间视创科技有限公司 User portrait method based on big data
WO2023125117A1 (en) * 2021-12-28 2023-07-06 卡奥斯工业智能研究院(青岛)有限公司 Resource scheduling method and system

Similar Documents

Publication Publication Date Title
CN108805383A (en) A kind of user's portrait platform and application for washing shield big data based on clothes
Guan et al. Apparel recommendation system evolution: an empirical review
Koo et al. Design functions in transformable garments for sustainability
Henninger et al. Collaborative fashion consumption–A synthesis and future research agenda
US20040054752A1 (en) Fashion information server device and fashion information management method
Jain et al. Big data in fashion industry
JP6511204B1 (en) INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING DEVICE, SERVER DEVICE, PROGRAM, OR METHOD
Vogiatzis et al. Expert and community based style advice
CN107564109A (en) A kind of clothing management method, device, equipment and storage medium
Wong et al. A fashion mix-and-match expert system for fashion retailers using fuzzy screening approach
Iran Sustainable fashion: From production to alternative consumption
Amasawa et al. Can rental platforms contribute to more sustainable fashion consumption? Evidence from a mixed-method study
Jeon et al. FANCY: human-centered, deep learning-based framework for fashion style analysis
Goto et al. A new latent class model for analysis of purchasing and browsing histories on EC sites
Schumm et al. A pattern language for costumes in films
Heinze Wardrobe stories: Sustainability and the everyday aesthetics of fashion consumption
Rahman et al. Factors influencing consumer choice: a study of apparel and sustainable cues from Canadian and Indian consumers’ perspectives
Berger-Grabner Sustainability in fashion: an oxymoron?
An et al. Conceptual framework of hybrid style in fashion image datasets for machine learning
Adewumi et al. A unified framework for outfit design and advice
Yuan et al. Community trend prediction on heterogeneous graph in e-commerce
Al-Omar et al. The design and development of a web-based virtual closet: The smart closet project
JP6592755B1 (en) Information processing system, information processing apparatus, server apparatus, program, or method
Irick Examination of the design process of repurposed apparel and accessories: An application of Diffusion of Innovations Theory
Jensen et al. Young academic women’s clothing practice: Interactions between fast fashion and social expectations in Denmark

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20181113