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 PDF

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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
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sales volume
information
product
sample data
object product
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CN104574093A (en
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郑瑞峰
刘向东
陈家耀
冯是聪
李全印
吴明辉
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Miaozhen Systems Information Technology Co Ltd
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Miaozhen Systems Information Technology Co Ltd
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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

A kind of method and device that sales volume is calculated based on electric business sample data information
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)

  1. 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. 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. 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. 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. 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. 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. 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.
  8. 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. 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. 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. 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. 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. 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. 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.
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Families Citing this family (7)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (4)

* Cited by examiner, † Cited by third party
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

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