CN104574093B - A kind of method and device that sales volume is calculated based on electric business sample data information - Google Patents
A kind of method and device that sales volume is calculated based on electric business sample data information Download PDFInfo
- Publication number
- CN104574093B CN104574093B CN201310498780.2A CN201310498780A CN104574093B CN 104574093 B CN104574093 B CN 104574093B CN 201310498780 A CN201310498780 A CN 201310498780A CN 104574093 B CN104574093 B CN 104574093B
- Authority
- CN
- China
- Prior art keywords
- sales volume
- information
- product
- sample data
- object product
- 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.)
- Active
Links
Landscapes
- Information Transfer Between Computers (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
This application discloses a kind of method that sales volume is calculated based on electric business sample data information, including:Webpage where first object product includes sales volume information, obtains the sales volume information and sales volume related information and conduct first sample data message of the first object product;Webpage where first object product obtains the sales volume related information of the first object product without sales volume information;According to the first sample data message of acquisition, the sales volume model of sales volume information and sales volume related information is established;The sales volume model of sale related information and foundation of the webpage without sales volume acquisition of information according to where from each first object product, calculate the sales volume of each no sales volume Intelligence Page first object product.The application also includes the device corresponding with method, is realized by the inventive method and device and establishes sales volume model by the electric business information of known sales volume information.Sales volume related information without sales volume information electric business is loaded into sales volume model, the sales volume of webpage where the enterprise product of no sales volume information electric business is calculated.
Description
Technical field
The present invention relates to e-commerce technology, espespecially a kind of method and dress that sales volume is calculated based on electric business sample data information
Put.
Background technology
Along with the continuous ripe and development of e-commerce technology, ecommerce has become the goods marketing of the supreme arrogance of a person with great power
Mode, the platform management of portable marketing model and masses cause enterprise product large area in the marketing network of ecommerce
Distribution, accounting more and more higher of sale of the enterprise product in ecommerce in enterprise's integrated marketing chain.Sales data refers to look forward to
Industry production marketing price and sales volume etc., grasp sales data of the enterprise product in e-commerce field, especially enterprise product
Sales volume, realize that development plan is significant for enterprise.Pass through the grasp to sales volume information, it is possible to achieve enterprise is to production
The adjustment of the product production schedule and market strategy, basis is provided for enterprise's reasonable distribution resource and creation more rich profit.
At present, ecommerce is limited by product supply chain and ecommerce technological deficiency itself, and many enterprises can not
Learn that carrying out the production schedule and market strategy adjusts required sales data completely.For example, in product supply chain, due to portion
Dividing electric business, second level distributor stocks up, so enterprise can not obtain electricity not from the direct indent goods of enterprise, but from the one of enterprise
The feedback of business, it is difficult to obtain actual sales volume of the enterprise product by electric business channel, only it is obtainable be enterprise product shipment number
Amount.Enterprise can not grasp sales volume of the enterprise product in e-commerce field completely, have a strong impact on that enterprise is planned production
Formulated with market strategy, limit the development of enterprise.
The content of the invention
In order to solve the above-mentioned technical problem, the invention discloses a kind of side that sales volume is calculated based on electric business sample data information
Method and device.Can realize to enterprise product e-commerce field sales statistics.
In order to reach the purpose of the application, the present invention provides a kind of side that sales volume is calculated based on electric business sample data information
Method, including:
Webpage where first object product includes sales volume information, obtains the sales volume information and sales volume of the first object product
Related information is simultaneously used as first sample data message;Webpage obtains the first object without sales volume information where first object product
The sales volume related information of product;
According to the first sample data message of acquisition, the sales volume model of sales volume information and sales volume related information is established;
The sales volume of sale related information and foundation of the webpage without sales volume acquisition of information according to where from each first object product
Model, calculate the sales volume of each no sales volume Intelligence Page first object product.
Further, obtaining sales volume information or the method for sales volume related information is:Using crawler technology or implant inserter
Method obtains.
Further, when the number of first object product sample data message is less than first object product place webpage without pin
When measuring 10 times of information dimension, this method also includes:
It is determined that the product related to the first object product is the second target product;
The second sample data information of the second target product is obtained, first sample data message number is produced for first object
10 times without sales volume information dimension of webpage where product;
First sample data message includes the sales volume information and sales volume related information of first object product, and the production of the second target
The sales volume information and sales volume related information of product.
Further, this method also includes, and according to the sales volume to each webpage first object product, adds up and determines described first
Target product total sales volume.
Further, establishing the method for the sales volume model of sales volume information and sales volume related information includes:Determine sales volume information
With the weight coefficient of sales volume related information, and sales volume model is established.
Further, it is determined that the method for weight coefficient includes:Using least square method GLS or support vector regression SVR,
Or ridge regression or lasso recurrence or genetic algorithm or simulated annealing or artificial neural network or arest neighbors method or pattra leaves
This method or decision tree or regression tree.
Further, sales volume related information includes:Product price, product review, user's scoring, promotion, user's mark, visit
Ask URL, access time, access duration.
On the other hand, present invention additionally comprises a kind of device based on electric business sample data information sales volume, including:
Collecting unit, for including sales volume information to first object product, place webpage, gather the first object product
Sales volume information and sales volume related information as first sample data message, be sent to modeling unit;Place webpage does not include sales volume
Information, the sales volume related information of the first object product is gathered, is sent to computing unit;
Modeling unit, for according to first sample data message, establishing the sales volume mould of sales volume information and sales volume related information
Type;
Computing unit, for according to from the first object product, sales volume related information of the place webpage without sales volume information
With sales volume model, the sales volume of each no sales volume Intelligence Page first object product of calculating.
Further, obtaining sales volume information or the method for sales volume related information is:Using crawler technology or implant inserter
Method obtains.
Further, when the number of first object product sample data message is less than first object product place webpage without pin
When measuring 10 times of information dimension, the device:
It is additionally operable to determine that the product related to the first object product is the second target product;
The second sample data information of the second target product is obtained, first sample data message number is produced for first object
10 times without sales volume information dimension of webpage where product;
First sample data message includes the sales volume information and sales volume related information of first object product, and the production of the second target
The sales volume information and sales volume related information of product.
Further, apparatus of the present invention are additionally operable to, and according to the sales volume to each webpage first object product, are added up described in obtaining
First object product total sales volume.
Further, establishing the sales volume model of sales volume information and sales volume related information includes:Determine sales volume information and sales volume
The weight coefficient of related information, and establish sales volume model.
Further, it is determined that the method for weight coefficient includes:Using least square method GLS or support vector regression SVR,
Or ridge regression or lasso recurrence or genetic algorithm or simulated annealing or artificial neural network or arest neighbors method or pattra leaves
This method or decision tree or regression tree.
Further, sales volume related information includes:Product price, product review, user's scoring, promotion, user's mark, visit
Ask URL, access time, access duration.
The method that sales volume is calculated based on electric business sample data information that technical scheme provides is included:First object produces
Webpage where product includes sales volume information, obtains the sales volume information of the first object product and sales volume related information and is used as first
Sample data information;Webpage where first object product obtains the sales volume related information of the first object product without sales volume information;
According to the first sample data message of acquisition, the sales volume model of sales volume information and sales volume related information is established;According to from each first
The sales volume model of sale related information and foundation of the webpage where target product without sales volume acquisition of information, calculates each no sales volume information
The sales volume of webpage first object product.It can realize that the electric business information of sales volume information known to utilizing obtains by the inventive method
Sales volume model.The sales volume related information of unknown sales volume electric business is loaded into sales volume model, no sales volume information electric business pin is calculated
The sales volume of webpage where selling enterprise product.
Further, the inventive method also includes:Electric business is obtained according to the cumulative summation of each webpage sales volume of unknown sales volume electric business
Total sales volume, realize target product total sales volume acquisition.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, forms the part of the application, this hair
Bright schematic description and description is used to explain the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart that the present invention realizes the method that sales volume is calculated based on electric business sample data information;
Fig. 2 is the structural representation that the present invention realizes the device that sales volume is calculated based on electric business sample data information;
Fig. 3 is the present invention is used as sample data information Jingdone district June using the Head&Shoulders 750ml shampoos in June in Taobao
Part Head&Shoulders 750ml shampoos calculate the specific embodiment flow chart of sales volume.
Embodiment
Fig. 1 is the flow chart that the present invention realizes the method that sales volume is calculated based on electric business sample data information, as shown in figure 1,
The inventive method includes:
Webpage where step 100, first object product includes sales volume information, obtains the sales volume letter of the first object product
Breath and sales volume related information are simultaneously used as first sample data message;For webpage where first object product without sales volume information, obtaining should
The sales volume related information of first object product.
In this step, obtaining the method for sales volume information or sales volume related information is:Using crawler technology or implant inserter
Method obtains.
The webpage where the number of first object product sample data message is less than first object product is tieed up without sales volume information
Degree 10 times when, this method also includes:It is determined that the product related to first object product is the second target product;Obtain the second mesh
The second sample data information of product is marked, first sample data message number webpage where first object product is believed without sales volume
Cease 10 times of dimension;First sample data message includes the sales volume information and sales volume related information of first object product, and second
The sales volume information and sales volume related information of target product.
Here determine that the product related to first object product is the second target product, correlation refers to:Brand is identical, model
It is close;Or commercially the consumer group and sales volume are close for brand, model is identical;Or the brand commercially consumer group and sales volume
It is close, product similar in model.
Sales volume related information includes:Product price, product review, user's scoring, promotion, user's mark, access URL, visit
Ask the time, access duration.From the angle analysis of consumer behavior, target product price, product review, user's scoring, promotion etc. are straight
The information for affecting the commodity webpage that consumer can see is connect, often affecting the shopping of consumer to varying degrees needs
Ask.And user's mark, access URL, access time, access duration etc. have reacted the crowd's quantity and concern journey of concern target product
There is also larger incidence relation for the sales volume of degree, these information and target product.
Step 101, the first sample data message according to acquisition, establish the sales volume mould of sales volume information and sales volume related information
Type.
In this step, establishing the method for the sales volume model of sales volume information and sales volume related information includes:Determine sales volume information
With the weight coefficient of sales volume related information, and sales volume model is established.
Determining the method for weight coefficient includes:Using least square method GLS or support vector regression SVR or ridge regression,
Lasso return or genetic algorithm or simulated annealing or artificial neural network or arest neighbors method or bayes method or
Decision tree or regression tree.Certainly determine that the method for weight coefficient is also a lot, data processing method can not be carried out exhaustive.
When the information format and content of webpage differ, it is necessary in all sale related informations of specification and sales volume information
Appearance and form.For different electric business, the information content and form of disclosure often use different forms, the method for statistics
With the cycle etc., also tend to a certain distance be present, for example, some e-commerce platforms can do different cycles to the sales volume of seller
Analysis and arrangement, and part electric business carries out analysis and arrangement just for the fixed cycle, it is therefore desirable to the partial information content and lattice
Formula etc. is standardized, and could use the information content obtained.
Pass through the description in step 100 to sales volume related information, it may be determined that the sales volume of target product associates letter with sales volume
There is inevitable contact in breath, based on such theoretical foundation, establish model to arrange the pass between sales volume and sales volume related information
System.Related information is sold, the different contents of representative, it occupies different weights from the relation of sales volume, using the method for fitting,
Using sample data information, associated weight coefficient is determined, makes the sales volume model of foundation, closest to the statistical model of reality.
Step 102, basis from sale related information of the webpage where each first object product without sales volume acquisition of information and are built
Vertical sales volume model, calculate the sales volume of each no sales volume Intelligence Page first object product.
The inventive method also includes, and according to the sales volume to each webpage first object product, adds up and determines the first object
Product total sales volume.Repeated no more with statistic processes such as this sales volume on target product being derived etc..
Fig. 2 is the structural representation that the present invention realizes the device that sales volume is calculated based on electric business sample data information.Such as Fig. 2 institutes
Show, apparatus of the present invention, including:
Collecting unit, for including sales volume information to first object product, place webpage, gather the first object product
Sales volume information and sales volume related information as first sample data message, be sent to modeling unit;Place webpage does not include sales volume
Information, the sales volume related information of the first object product is gathered, is sent to computing unit.
In collecting unit, obtaining the method for sales volume information or sales volume related information is:Inserted using crawler technology or implantation
The method of part obtains.Sales volume related information includes:Product price, product review, user's scoring, promotion, user's mark, access
URL, access time, access duration.
The webpage where the number of first object product sample data message is less than first object product is tieed up without sales volume information
Degree 10 times when, collecting unit:It is additionally operable to determine that the product related to the first object product is the second target product;Obtain
Second sample data information of the second target product, make first sample data message number for webpage where first object product without
10 times of sales volume information dimension;First sample data message includes the sales volume information and sales volume related information of first object product,
With the sales volume information and sales volume related information of the second target product.
Modeling unit, for according to first sample data message, establishing the sales volume mould of sales volume information and sales volume related information
Type.Establishing the sales volume model of sales volume information and sales volume related information includes:Determine the sales volume information and sales volume related information
Weight coefficient, and establish sales volume model.Determining the method for weight coefficient includes:Returned using least square method GLS or supporting vector
Return SVR or ridge regression or lasso return or genetic algorithm or simulated annealing or artificial neural network or arest neighbors method,
Or bayes method or decision tree or regression tree.
Computing unit, for according to from the first object product, sales volume related information of the place webpage without sales volume information
With sales volume model, the sales volume of each no sales volume Intelligence Page first object product of calculating.
Apparatus of the present invention are additionally operable to, and according to the sales volume to each webpage first object product, are added up and are obtained the first object
Product total sales volume.
Specific embodiment 1
Fig. 3 is the present invention is used as sample data information Jingdone district June using the Head&Shoulders 750ml shampoos in June in Taobao
Part Head&Shoulders 750ml shampoos calculate the specific embodiment flow chart of sales volume.As shown in figure 3, this method includes:
Step 200, there is sales volume information to webpage where first object product 750ml Head&Shoulders, using crawler technology, wash in a pan
Precious net, sales volume information and sales volume related information are obtained as first sample data message;Jingdone district store, place webpage are believed without sales volume
Breath, obtain sales volume related information.
In Taobao, the sales volume on the webpage for the sale Head&Shoulders 750ml shampoos that June is obtained using crawler technology,
Selling price, comment number, evaluation marking, PV, UV, mean residence time information are as sample data information.Experimentation obtains
Amount to the Taobao retail shop of 100.
Jingdone district store selling price, comment number, evaluation marking, PV, UV, mean residence time are obtained as sales volume association letter
Breath.
In a specific embodiment, when the present invention is inadequate to first sample data message number, i.e., first object product is extra large
Fly silk 750ml shampoo first sample data messages number and be less than first object product dimension of the place webpage without sales volume information
10 times be 60 when.It is related here to refer to using related to first object product Head&Shoulders 750ml shampoo brands, and
Head&Shoulders 750ml shampoo brands are same or like, and the sample data information conduct of the identical or close target product of model
The supplement of first object product sample data message;Such as first sample data message number is got as 20 by crawler technology
It is individual, then it can obtain the sales volume information and sales volume related information and Head&Shoulders 750ml shampoos of sale Head&Shoulders 600ml shampoos
Sales volume information and sales volume related information are as first sample data message.Or use is washed with certain brand similar in Head&Shoulders brand
The shampoo 750ml sales volume information of 40 associates with sales volume related information with Head&Shoulders 750ml shampoo sales volume information with sales volume
Information is as 750ml shampoo sample data information.
The content and form of all sale related informations of step 201, specification and sales volume information.Table 1 is to Taobao's sample
Data message and Jingdone district sales volume related information carry out the result of specification arrangement.
Table 1
The specification sample data information of table 1 and sales volume related information result
Step 202, using the first sample data message of Taobao as sample training collection, establish Head&Shoulders 750ml sales volumes
The sales volume model of information and sales volume related information.
Establish sales volume modelWherein N=6, wherein xiImplication it is as shown in table 2:
Table 2
The sales volume model x of table 2iImplication
The weight coefficient of step 203, the sales volume information for determining Head&Shoulders 750ml in sales volume model and sales volume related information is such as
Shown in table 3.Determining the method for weight coefficient has:Using least square method GLS or support vector regression SVR or ridge regression or
Lasso recurrence or genetic algorithm or simulated annealing or artificial neural network or arest neighbors method or bayes method are determined
Plan tree or regression tree.
Table 3
w0 | w1 | w2 | w3 | w4 | w5 | w6 |
3.2 | 1.27 | 0.02 | -0.15 | 0.0007 | 0.005 | 0.02 |
The weight coefficient that table 3 determines according to Taobao Head&Shoulders 750ml sales volume information with sales volume related information
Step 204, the sale related information and sales volume model obtained according to Jingdone district store webpage, Head&Shoulders 750ml are in Beijing
The sales volume of each webpage in east.
The sales volume related information in Jingdone district is loaded onto in sales volume model and calculated, it is each in Jingdone district to obtain Head&Shoulders 750ml
The sales volume data of webpage.
3.2+1.27*300+0.02*9-0.15*43+0.0007*10000+0.005*3000+0.02*5=400.03≈
400。
Step 205, webpage sales volume where each Head&Shoulders 750ml obtained into Head&Shoulders 750ml total pin using accumulation method
Amount.
It is described above, it is only the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.For this
The acquisition webpage sales volume information or sales volume related information used in application invention, and the method for obtaining weight coefficient, not only
Including being stated with upper type, above example just for preferred embodiment to the present invention.Its realization rate, it can use
Similar method is replaced, and for size of data of sample data information etc., can be made the appropriate adjustments according to actual conditions, this
Part needs according to the workload size of data and precise requirements is suitably adjusted.It is all the spirit and principles in the present invention it
It is interior, any modification, equivalent substitution and improvements done etc., it should be included in the scope of the protection.
Claims (14)
- A kind of 1. method that sales volume is calculated based on electric business sample data information, it is characterised in that including:Webpage where first object product includes sales volume information, and the sales volume information for obtaining the first object product associates with sales volume Information is simultaneously used as first sample data message;Webpage obtains the first object product without sales volume information where first object product Sales volume related information;According to the first sample data message of acquisition, the sales volume model of sales volume information and sales volume related information is established;The sales volume model of sale related information and foundation of the webpage without sales volume acquisition of information according to where from each first object product, Calculate the sales volume of each no sales volume Intelligence Page first object product.
- 2. according to the method for claim 1, it is characterised in that described to obtain sales volume information or the method for sales volume related information It is:Obtained using the method for crawler technology or implant inserter.
- 3. according to the method for claim 1, it is characterised in that when the number of the first object product sample data message During less than 10 times without sales volume information dimension of webpage where first object product, this method also includes:It is determined that the product related to the first object product is the second target product;The second sample data information of the second target product is obtained, makes first sample data message number for first object product institute In 10 times of webpage without sales volume information dimension;The first sample data message includes the sales volume information and sales volume related information of first object product, and the production of the second target The sales volume information and sales volume related information of product.
- 4. according to the method for claim 1, it is characterised in that methods described also includes, according to each webpage first object The sales volume of product, add up and determine the first object product total sales volume.
- 5. according to the method described in any one of Claims 1 to 4, it is characterised in that the sales volume information of establishing associates with sales volume The method of the sales volume model of information includes:The weight coefficient of the sales volume information and sales volume related information is determined, and establishes sales volume Model.
- 6. according to the method for claim 5, it is characterised in that the method for determining weight coefficient includes:Using minimum Square law GLS or support vector regression SVR or ridge regression or lasso return or genetic algorithm or simulated annealing or artificial Neutral net or arest neighbors method or bayes method or decision tree or regression tree.
- 7. according to the method for claim 5, it is characterised in that the sales volume related information includes:Product price, product are commented By, user scoring, promotion, user's mark, access URL, access time, access duration.
- A kind of 8. device based on electric business sample data information sales volume, it is characterised in that including:Collecting unit, for including sales volume information to first object product, place webpage, gather the pin of the first object product Information and sales volume related information are measured as first sample data message, is sent to modeling unit;Place webpage does not include sales volume information, The sales volume related information of the first object product is gathered, is sent to computing unit;Modeling unit, for according to first sample data message, establishing the sales volume model of sales volume information and sales volume related information;Computing unit, for according to from the first object product, sales volume related information and pin of the place webpage without sales volume information Model is measured, calculates the sales volume of each no sales volume Intelligence Page first object product.
- 9. device according to claim 8, it is characterised in that obtaining the method for sales volume information or sales volume related information is: Obtained using the method for crawler technology or implant inserter.
- 10. device according to claim 8, it is characterised in that as of the first object product sample data message When number is less than 10 times of first object product place webpage without sales volume information dimension, the device:It is additionally operable to determine that the product related to the first object product is the second target product;The second sample data information of the second target product is obtained, makes first sample data message number for first object product institute In 10 times of webpage without sales volume information dimension;The first sample data message includes the sales volume information and sales volume related information of first object product, and the production of the second target The sales volume information and sales volume related information of product.
- 11. device according to claim 8, it is characterised in that described device is additionally operable to, according to each webpage first object The sales volume of product, add up and obtain the first object product total sales volume.
- 12. according to the device described in any one of claim 8~11, it is characterised in that described to establish sales volume information and sales volume pass The sales volume model of connection information includes:The weight coefficient of the sales volume information and sales volume related information is determined, and establishes sales volume model.
- 13. device according to claim 12, it is characterised in that the method for determining weight coefficient includes:Using most Small square law GLS or support vector regression SVR or ridge regression or lasso are returned or genetic algorithm or simulated annealing or people Artificial neural networks or arest neighbors method or bayes method or decision tree or regression tree.
- 14. device according to claim 12, it is characterised in that the sales volume related information includes:Product price, product Comment, user's scoring, promotion, user identify, access URL, access time, access duration.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310498780.2A CN104574093B (en) | 2013-10-22 | 2013-10-22 | A kind of method and device that sales volume is calculated based on electric business sample data information |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310498780.2A CN104574093B (en) | 2013-10-22 | 2013-10-22 | A kind of method and device that sales volume is calculated based on electric business sample data information |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104574093A CN104574093A (en) | 2015-04-29 |
CN104574093B true CN104574093B (en) | 2018-03-23 |
Family
ID=53090095
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310498780.2A Active CN104574093B (en) | 2013-10-22 | 2013-10-22 | A kind of method and device that sales volume is calculated based on electric business sample data information |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104574093B (en) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106611366A (en) * | 2015-10-26 | 2017-05-03 | 阿里巴巴集团控股有限公司 | Method and device for automatically selecting article |
CN105608600A (en) * | 2015-12-18 | 2016-05-25 | 焦点科技股份有限公司 | Method for evaluating and optimizing B2B seller performances |
CN106022833A (en) * | 2016-05-24 | 2016-10-12 | 温州市鹿城区中津先进科技研究院 | Commodity customized method based on big data processing |
CN106022883A (en) * | 2016-05-24 | 2016-10-12 | 温州市鹿城区中津先进科技研究院 | Commodity evaluation method based on optimized big data processing model |
CN108563758B (en) * | 2018-04-17 | 2021-09-24 | 广州虎牙信息科技有限公司 | User quantity measuring and calculating method, device, equipment and storage medium |
CN110400189B (en) * | 2018-04-20 | 2024-05-24 | 北京京东尚科信息技术有限公司 | Information output method and device |
CN110060107A (en) * | 2019-04-25 | 2019-07-26 | 湖南餐效信息科技有限公司 | Business revenue evaluation method, business revenue estimating system, terminal and storage medium |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101819668A (en) * | 2010-04-27 | 2010-09-01 | 浙江大学 | Sales predicting model based on product intrinsic life cycle character |
CN102346739A (en) * | 2010-07-30 | 2012-02-08 | 北京学之途网络科技有限公司 | Method for estimating network behavior information by using nonrandom sample user and device |
CN102890803A (en) * | 2011-07-21 | 2013-01-23 | 阿里巴巴集团控股有限公司 | Method and device for determining abnormal transaction process of electronic commodity |
CN103309990A (en) * | 2013-06-18 | 2013-09-18 | 上海晶樵网络信息技术有限公司 | User multidimensional analysis and monitoring method based on public information of Internet user |
-
2013
- 2013-10-22 CN CN201310498780.2A patent/CN104574093B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101819668A (en) * | 2010-04-27 | 2010-09-01 | 浙江大学 | Sales predicting model based on product intrinsic life cycle character |
CN102346739A (en) * | 2010-07-30 | 2012-02-08 | 北京学之途网络科技有限公司 | Method for estimating network behavior information by using nonrandom sample user and device |
CN102890803A (en) * | 2011-07-21 | 2013-01-23 | 阿里巴巴集团控股有限公司 | Method and device for determining abnormal transaction process of electronic commodity |
CN103309990A (en) * | 2013-06-18 | 2013-09-18 | 上海晶樵网络信息技术有限公司 | User multidimensional analysis and monitoring method based on public information of Internet user |
Also Published As
Publication number | Publication date |
---|---|
CN104574093A (en) | 2015-04-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104574093B (en) | A kind of method and device that sales volume is calculated based on electric business sample data information | |
Barillot et al. | Assessing the effects of architectural variations on light partitioning within virtual wheat–pea mixtures | |
CN106504098A (en) | A kind of capitalized method of the financial investment system based on big data technology | |
CN103871099B (en) | One kind carries out 3D simulations collocation processing method and system based on mobile terminal | |
CN105913297A (en) | Fitting recommendation method based on big data and system | |
CN107798027A (en) | A kind of heatrate Forecasting Methodology, information recommendation method and device | |
CN107180375A (en) | A kind of garment size commending system based on multilayer neural network | |
CN106682923A (en) | Commodity adjustment method and commodity adjustment system | |
CN104331818A (en) | Method and system capable of controlling differential pushing of merchant service information | |
CN105787100A (en) | User session recommendation method based on deep neural network | |
CN103744904B (en) | A kind of method and device that information is provided | |
CN109978292A (en) | The intelligent management and device of shops | |
CN107358456A (en) | Data show method and apparatus | |
CN106846082A (en) | Tourism cold start-up consumer products commending system and method based on hardware information | |
CN106157118A (en) | A kind of ecommerce OTO terminal distribution system data processing method | |
CN107480227A (en) | A kind of information-pushing method based on big data | |
CN107220676A (en) | A kind of smart city planning system | |
CN108305095A (en) | Three dimensional model printing Cost Estimation and device | |
CN108665374A (en) | A kind of commodities trading network platform | |
CN108446771A (en) | A method of preventing Sale Forecasting Model over-fitting | |
CN107220856A (en) | A kind of system and method for mobile consumption group identification | |
CN107526753A (en) | The recommendation method and apparatus of application program | |
CN102693500A (en) | Calculation system and calculation method for website advertisement position value | |
CN108960501B (en) | Commodity anti-channel conflict method | |
Ruiz-Ramos et al. | ALAMEDA, a structural–functional model for faba bean crops: morphological parameterization and verification |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information |
Address after: 100102 Beijing, Chaoyang District Fu Tong East Street, building 1, room 5, room 321008 Applicant after: The second hand information technology Co. Ltd. Address before: Beijing City, a small town east of Changping District road 102218 in No. 398 Coal Construction Group No. 1 building, 4 floor Applicant before: Beijing Sibotu Information Technology Co., Ltd. |
|
CB02 | Change of applicant information | ||
GR01 | Patent grant | ||
GR01 | Patent grant |