CN106202516A - A kind of e-commerce platform merchandise display method according to timing node - Google Patents
A kind of e-commerce platform merchandise display method according to timing node Download PDFInfo
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- CN106202516A CN106202516A CN201610583104.9A CN201610583104A CN106202516A CN 106202516 A CN106202516 A CN 106202516A CN 201610583104 A CN201610583104 A CN 201610583104A CN 106202516 A CN106202516 A CN 106202516A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/221—Column-oriented storage; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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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
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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
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
-
- 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
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
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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]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
- G06F2216/03—Data mining
Abstract
The present invention provides a kind of e-commerce platform merchandise display method according to timing node, comprises the following steps: step S1, data acquisition, step S2, data prediction, step S3, data store, and pretreated characteristic information and training examples are stored to data base;Step S4, data analysis;Step S5, commodity push, purchase intention according to database association rule digging user, hybrid subscriber browses timing node during commodity, weight according to user's goods browse and the data message of purchase obtains buys regression model, according to the corresponding relation between training examples and purchase regression model, push the commodity being now suitable for when user browses commodity;Compared with prior art, the present invention has following beneficial effect: when user's shopping online, can push the commodity being now suitable for, add the desire to purchase of user, thus improve the sales volume of businessman.
Description
Technical field
The present invention is a kind of e-commerce platform merchandise display method according to timing node, belongs to computer digital animation
Technical field.
Background technology
In recent years, along with constantly developing rapidly of information technology and the Internet, ecommerce ground in society and life
Position is more and more significant, and e-commerce system provides the user increasing selection.Meanwhile, ecommerce scale is drastically
Expand and user is taken a substantial amount of time browse without underlying commodity, for distributors, pushed away by commodity in most suitable mode
Recommending to user is that they are highly desirable.Along with the arrival of big data age, the commodity of e-commerce website increase with index speed
Long, no matter being all that people are unthinkable in its quantity or in kind, this more increases the most accurately to obtain oneself wants business
The difficulty of product.The Internet is just as a double-edged sword, although largely it has promoted the fast development of ecommerce, makes businessman
Can pass through e-commerce platform by the merchandise display of oneself to consumer, consumer is home-confined just can be complete to merchandise news
Grasping, and conclude the transaction with businessman, each takes what he needs for both sides.But, the network user while obtaining convenient consumption to a certain degree
On be also absorbed in unprecedented awkward condition.So the recommendation function of commodity is extremely necessary, it can be simulated in solid shop/brick and mortar store
Salesman to their commodity interested of lead referral, make consumer have certain cognition to commodity, thus improve businessman
Sales volume.
The when of shopping on the web, user often buys a lot of all kinds of commodity, does not the most go out family, just can enjoy the world
The commodity of various places, but in the prior art, many times, shopping online platform is all that unified to push some in homepage popular
The commodity liked, or simply according to the purchasing behavior that user is nearest, push the commodity that some users may buy, this
Method for pushing, not only falls behind, and causes deleterious effect to the shopping of user.
Summary of the invention
The deficiency existed for prior art, it is an object of the present invention to provide a kind of e-commerce platform according to timing node
Merchandise display method, to solve the problem proposed in above-mentioned background technology, the present invention is easy to use, it is simple to operation, designs ingenious,
Improve the market competitiveness.
To achieve these goals, the present invention is to realize by the following technical solutions: a kind of according to timing node
E-commerce platform merchandise display method, comprises the following steps:
Step S1, data acquisition, in different data bases, by the open API mode of web crawlers or website from ecommerce
Obtain the goods browse of user and the data message of purchase on platform, or use distributed structure/architecture Chukwa, Flume and
Scribe, obtains the goods browse of user and the data message of purchase from e-commerce platform;
Step S2, data prediction, the data that each scattered data base gathers all are imported a big data base, right
Data carry out the process concentrated, and extract the goods browse of user and the characteristic information of the data message of purchase, to various data
Roughly select, according to the different goods browses of different user and the characteristic information of the data message of purchase, set up different instructions
Practice sample;
Step S3, data store, and pretreated characteristic information and training examples are stored to data base;
Step S4, data analysis, according to the different goods browses of different user and the characteristic information of the data message of purchase, right
Its characteristic information screens, and utilizes Infobright column storage tool, after the different classification that data are carried out, under
The batch processing of one step is prepared;
Step S5, commodity push, according to the purchase intention of database association rule digging user, when hybrid subscriber browses commodity
Timing node, obtains according to the weight of user's goods browse and the data message of purchase and buys regression model, according to training sample
Example and the corresponding relation bought between regression model, push the commodity being now suitable for when user browses commodity.
Further, in step sl, the goods browse of user and the data message of purchase include:
User's goods browse in each season and the data message of purchase;
The goods browse of user's part in every month and the data message of purchase;
User the different time sections of a day about goods browse and the data message of purchase;
And user in different red-letter days about goods browse and the data message of purchase.
Further, in step s 2, if big data base is divided into stem portion mass data, multiple stage processor is given
Parallel processing;After multiple stage processor parallel processing, the result after each processor is processed carries out collecting operation to obtain
To final result.
Further, in step s 4, described characteristic information includes:
The classification of commodity;
The place of production of commodity;
The production time of commodity;
And the packaging of commodity.
Further, in step s 5, timing node when user browses commodity includes:
User now browses the residing season of commodity;
User now browses the residing month of commodity;
User now browses the different time sections of residing a day of commodity;
And user now browses the residing red-letter day of commodity.
Beneficial effects of the present invention: a kind of e-commerce platform merchandise display method according to timing node of the present invention,
User's goods browse in each season and the data message of purchase is extracted by large database concept;The commodity of part are clear in every month
The data message look at and buy;The different time sections of a day about goods browse and the data message of purchase;And use
Family in different red-letter days about goods browse and the data message of purchase, user's shopping on the web when, according to user
Now browse the residing season of commodity;Now browse the residing month of commodity;When now browsing residing one day of commodity different
Between section;And user now browses the residing red-letter day of commodity, push the commodity being now suitable for, add the desire to purchase of user,
Thus improve the sales volume of businessman.
Accompanying drawing explanation
By the detailed description non-limiting example made with reference to the following drawings of reading, the further feature of the present invention,
Purpose and advantage will become more apparent upon:
Fig. 1 is the block diagram of a kind of e-commerce platform merchandise display method according to timing node of the present invention.
Detailed description of the invention
For the technological means making the present invention realize, creation characteristic, reach purpose and be easy to understand with effect, below in conjunction with
Detailed description of the invention, is expanded on further the present invention.
Referring to Fig. 1, the present invention provides a kind of technical scheme: a kind of e-commerce platform commodity exhibition according to timing node
Show method, comprise the following steps:
Step S1, data acquisition, in different data bases, by the open API mode of web crawlers or website from ecommerce
Obtain the goods browse of user and the data message of purchase on platform, or use distributed structure/architecture Chukwa, Flume and
Scribe, obtains the goods browse of user and the data message of purchase from e-commerce platform;
Step S2, data prediction, the data that each scattered data base gathers all are imported a big data base, right
Data carry out the process concentrated, and extract the goods browse of user and the characteristic information of the data message of purchase, to various data
Roughly select, according to the different goods browses of different user and the characteristic information of the data message of purchase, set up different instructions
Practice sample;
Step S3, data store, and pretreated characteristic information and training examples are stored to data base;
Step S4, data analysis, according to the different goods browses of different user and the characteristic information of the data message of purchase, right
Its characteristic information screens, and utilizes Infobright column storage tool, after the different classification that data are carried out, under
The batch processing of one step is prepared;
Step S5, commodity push, according to the purchase intention of database association rule digging user, when hybrid subscriber browses commodity
Timing node, obtains according to the weight of user's goods browse and the data message of purchase and buys regression model, according to training sample
Example and the corresponding relation bought between regression model, push the commodity being now suitable for when user browses commodity.
In step sl, the goods browse of user and the data message of purchase include:
User's goods browse in each season and the data message of purchase;
The goods browse of user's part in every month and the data message of purchase;
User the different time sections of a day about goods browse and the data message of purchase;
And user in different red-letter days about goods browse and the data message of purchase.
In step s 2, if big data base is divided into stem portion mass data, give multiple stage processor parallel processing;
After multiple stage processor parallel processing, the result after each processor is processed carries out collecting operation to be terminated most
Really.
In step s 4, described characteristic information includes:
The classification of commodity;
The place of production of commodity;
The production time of commodity;
And the packaging of commodity.
In step s 5, timing node when user browses commodity includes:
User now browses the residing season of commodity;
User now browses the residing month of commodity;
User now browses the different time sections of residing a day of commodity;
And user now browses the residing red-letter day of commodity.
As one embodiment of the present of invention: a kind of e-commerce platform merchandise display according to timing node of the present invention
Method, extracts user's goods browse in each season and the data message of purchase by large database concept;Part in every month
Goods browse and the data message of purchase;The different time sections of a day about goods browse and the data message of purchase;
And user in different red-letter days about goods browse and the data message of purchase, user's shopping on the web when, root
The residing season of commodity is now browsed according to user;Now browse the residing month of commodity;Now browse residing one day of commodity
Different time sections;And user now browses the residing red-letter day of commodity, push the commodity being now suitable for, add the purchase of user
Desire, thus improve the sales volume of businessman.
The ultimate principle of the present invention and principal character and advantages of the present invention are more than shown and described, for this area skill
For art personnel, it is clear that the invention is not restricted to the details of above-mentioned one exemplary embodiment, and without departing substantially from the present invention spirit or
In the case of basic feature, it is possible to realize the present invention in other specific forms.Therefore, no matter from the point of view of which point, all should be by
Embodiment regards exemplary as, and is nonrestrictive, the scope of the present invention by claims rather than on state
Bright restriction, it is intended that include all changes fallen in the implication of equivalency and scope of claim in the present invention
In.Should not be considered as limiting involved claim by any reference in claim.
Although moreover, it will be appreciated that this specification is been described by according to embodiment, but the most each embodiment only wraps
Containing an independent technical scheme, this narrating mode of description is only that for clarity sake those skilled in the art should
Description can also be formed those skilled in the art through appropriately combined as an entirety, the technical scheme in each embodiment
May be appreciated other embodiments.
Claims (5)
1. the e-commerce platform merchandise display method according to timing node, it is characterised in that: comprise the following steps:
Step S1, data acquisition, in different data bases, by the open API mode of web crawlers or website from ecommerce
Obtain the goods browse of user and the data message of purchase on platform, or use distributed structure/architecture Chukwa, Flume and
Scribe, obtains the goods browse of user and the data message of purchase from e-commerce platform;
Step S2, data prediction, the data that each scattered data base gathers all are imported a big data base, right
Data carry out the process concentrated, and extract the goods browse of user and the characteristic information of the data message of purchase, to various data
Roughly select, according to the different goods browses of different user and the characteristic information of the data message of purchase, set up different instructions
Practice sample;
Step S3, data store, and pretreated characteristic information and training examples are stored to data base;
Step S4, data analysis, according to the different goods browses of different user and the characteristic information of the data message of purchase, right
Its characteristic information screens, and utilizes Infobright column storage tool, after the different classification that data are carried out, under
The batch processing of one step is prepared;
Step S5, commodity push, according to the purchase intention of database association rule digging user, when hybrid subscriber browses commodity
Timing node, obtains according to the weight of user's goods browse and the data message of purchase and buys regression model, according to training sample
Example and the corresponding relation bought between regression model, push the commodity being now suitable for when user browses commodity.
A kind of e-commerce platform merchandise display method according to timing node the most according to claim 1, its feature exists
In: in step sl, the goods browse of user and the data message of purchase include:
User's goods browse in each season and the data message of purchase;
The goods browse of user's part in every month and the data message of purchase;
User the different time sections of a day about goods browse and the data message of purchase;
And user in different red-letter days about goods browse and the data message of purchase.
A kind of e-commerce platform merchandise display method according to timing node the most according to claim 1, its feature exists
In: in step s 2, if big data base is divided into stem portion mass data, give multiple stage processor parallel processing;Many
After platform processor parallel processing, the result after each processor is processed carries out collecting operation to obtain final result.
A kind of e-commerce platform merchandise display method according to timing node the most according to claim 1, its feature exists
In: in step s 4, described characteristic information includes:
The classification of commodity;
The place of production of commodity;
The production time of commodity;
And the packaging of commodity.
A kind of e-commerce platform merchandise display method according to timing node the most according to claim 1, its feature exists
In: in step s 5, timing node when user browses commodity includes:
User now browses the residing season of commodity;
User now browses the residing month of commodity;
User now browses the different time sections of residing a day of commodity;
And user now browses the residing red-letter day of commodity.
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Cited By (19)
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CN107194765A (en) * | 2017-05-13 | 2017-09-22 | 温州百利多鞋业有限公司 | One kind examination shoe system |
CN107590727A (en) * | 2017-10-07 | 2018-01-16 | 江门雄起微空间文化发展有限公司 | A kind of network marketing system of Development by Depending on Network server |
CN107644355A (en) * | 2017-10-07 | 2018-01-30 | 江门雄起微空间文化发展有限公司 | A kind of new app network marketings system |
CN107657484A (en) * | 2017-10-07 | 2018-02-02 | 江门雄起微空间文化发展有限公司 | A kind of new app network marketings system |
CN107679914A (en) * | 2017-10-07 | 2018-02-09 | 江门雄起微空间文化发展有限公司 | A kind of new network marketing system |
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CN108229971A (en) * | 2016-12-21 | 2018-06-29 | 天脉聚源(北京)科技有限公司 | A kind of method and system of internet shopping after-sale service |
CN108665290A (en) * | 2017-03-27 | 2018-10-16 | 增长引擎(北京)信息技术有限公司 | The method and system of trade company's conversion ratio is improved based on user access path |
CN108805594A (en) * | 2017-04-27 | 2018-11-13 | 北京京东尚科信息技术有限公司 | Information-pushing method and device |
WO2019006643A1 (en) * | 2017-07-04 | 2019-01-10 | 深圳齐心集团股份有限公司 | Electronic commerce information push system |
CN109191169A (en) * | 2018-07-19 | 2019-01-11 | 国政通科技有限公司 | Precisely hit the method for high-end tourism potential user |
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CN109840796A (en) * | 2017-11-24 | 2019-06-04 | 财团法人工业技术研究院 | Decision factor analytical equipment and decision factor analysis method |
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WO2019006643A1 (en) * | 2017-07-04 | 2019-01-10 | 深圳齐心集团股份有限公司 | Electronic commerce information push system |
CN109388424A (en) * | 2017-08-02 | 2019-02-26 | 阿里巴巴集团控股有限公司 | A kind of method and system interacting demand |
CN107730354A (en) * | 2017-10-07 | 2018-02-23 | 江门雄起微空间文化发展有限公司 | A kind of network marketing system |
CN107590727A (en) * | 2017-10-07 | 2018-01-16 | 江门雄起微空间文化发展有限公司 | A kind of network marketing system of Development by Depending on Network server |
CN107679914A (en) * | 2017-10-07 | 2018-02-09 | 江门雄起微空间文化发展有限公司 | A kind of new network marketing system |
CN107657484A (en) * | 2017-10-07 | 2018-02-02 | 江门雄起微空间文化发展有限公司 | A kind of new app network marketings system |
CN107644355A (en) * | 2017-10-07 | 2018-01-30 | 江门雄起微空间文化发展有限公司 | A kind of new app network marketings system |
CN109840796A (en) * | 2017-11-24 | 2019-06-04 | 财团法人工业技术研究院 | Decision factor analytical equipment and decision factor analysis method |
CN109840796B (en) * | 2017-11-24 | 2021-08-24 | 财团法人工业技术研究院 | Decision factor analysis device and decision factor analysis method |
CN108109056A (en) * | 2018-01-10 | 2018-06-01 | 北京思特奇信息技术股份有限公司 | A kind of recommendation method and system of commodity |
CN109191169A (en) * | 2018-07-19 | 2019-01-11 | 国政通科技有限公司 | Precisely hit the method for high-end tourism potential user |
CN109903139A (en) * | 2019-03-04 | 2019-06-18 | 苏州迈荣祥信息科技有限公司 | A kind of e-commerce platform merchandise news acquisition methods according to timing node |
CN109903139B (en) * | 2019-03-04 | 2022-08-16 | 广东八灵科技发展有限公司 | Electronic commerce platform commodity information acquisition method according to time node |
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CN112419013A (en) * | 2020-12-31 | 2021-02-26 | 深圳市瑞冠信息科技有限公司 | Big data comprehensive operation management system and method |
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CN116012036B (en) * | 2023-03-24 | 2023-06-16 | 中科云策(深圳)科技成果转化信息技术有限公司 | Big data-based distributed data processing system |
CN116894709A (en) * | 2023-07-14 | 2023-10-17 | 广州洋葱时尚集团有限公司 | Advertisement commodity recommendation method and system |
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