CN107133856A - The control method and device of risk order - Google Patents
The control method and device of risk order Download PDFInfo
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- CN107133856A CN107133856A CN201710397844.8A CN201710397844A CN107133856A CN 107133856 A CN107133856 A CN 107133856A CN 201710397844 A CN201710397844 A CN 201710397844A CN 107133856 A CN107133856 A CN 107133856A
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- order
- user
- risk
- characteristic sequence
- goods number
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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]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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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]
- G06Q30/0609—Buyer or seller confidence or verification
Abstract
The invention discloses a kind of control method of risk order and device, it is related to Internet technical field.Characteristic sequence of the invention by automatically extracting order, compare characteristic sequence and obtain the corresponding order of identical characteristic sequence, and then can know whether the corresponding order of same characteristic sequence reaches larger quantity in a short time, reach that then further information is bought in analysis to large number of order, finally determines that this kind of order whether there is risk for the short time.The present invention can have found risk order in time, improve the efficiency of risk control, and effective control is carried out to risk order, can greatly reduce the generation of arbitrage behavior, and maintaining enterprise interests reduce enterprises' loss.
Description
Technical field
The present invention relates to Internet technical field, the control method and device of more particularly to a kind of risk order.
Background technology
With the fast development of Internet technology, ecommerce is increasingly becoming the necessity of people's daily life, all kinds of electricity
Sub- business web site emerges rapidly.
At present (hereinafter referred to as discounting class APP) is applied in the website for having many discount classes, and large-scale electricity is crawled by reptile
The merchandise news of sub- business web site, is then pushed to users by information of discount and uses.E-commerce website sometimes by
Cause some commodity prices that mistake is set in some reasons (such as staff's operational error), be arranged to an extremely low valency
Lattice, then externally issue.Discounting class APP may just energy sniff, to this price reduction information, be then externally announced within the extremely short time,
Cause a large number of users is crazy to rob.Such a behavior can even be evolved into Dark Industry Link, configure high-performance machine and be aided with automation and hold
Line program, madness grabs such commodity, then gets some advantage from it again, has had a strong impact on the normal work of e-commerce website, caused
The heavy losses of e-commerce website.
At present, commodity price is typically monitored by the staff of e-commerce website, showed if there is price is ultralow
As when, immediately by commodity undercarriage, prevent the generation of above-mentioned arbitrage behavior.
The content of the invention
Inventor has found that processing commodity price sets wrong situation in the prior art, and efficiency is very low, perceives commodity and goes out
, may be day after the fair during the ultralow situation of present price lattice, there are many super low cost goods to be rushed to purchase, cause e-business network
The heavy losses stood.
A technical problem to be solved by this invention is:Risk order how is recognized in time, reduces the hair of arbitrage behavior
It is raw.
According to one embodiment of present invention there is provided a kind of risk order control method, including:Each order is given birth to
Into corresponding characteristic sequence;Obtain the corresponding order of identical characteristic sequence;Exist in the corresponding quantity on order of same characteristic sequence
In the case of reaching predetermined number in preset time, according to the corresponding purchase information of characteristic sequence, determine that characteristic sequence is corresponding
Order whether there is risk.
In one embodiment, the corresponding price of each goods number and each goods number in each order is believed
Breath is encoded generates corresponding characteristic sequence to each order.
In one embodiment, purchase information includes the corresponding pricing information of each goods number, and pricing information includes working as
Preceding price and historical price;In the case where corresponding historical price is not present in any one goods number, or, in any one business
Product number corresponding present price with the difference of corresponding historical price more than in the case of preset difference value, determine characteristic sequence pair
There is risk in the order answered.
In one embodiment, purchase information includes the credit grade of the corresponding user of order;In the credit grade of user
In the case of less than predetermined level, determine that order has risk.
In one embodiment, purchase information includes single act under the corresponding user of order;Single act is certainly under user
In the case that dynamicization script places an order, determine that order has risk.
In one embodiment, purchase information includes the corresponding pricing information of each goods number, the corresponding user of order
Credit grade and the corresponding user of order under single act, pricing information include present price and historical price;User's
Credit grade is that automatized script places an order and any one goods number is corresponding current less than single act under predetermined level and user
In the case that price exceedes preset difference value with the difference of corresponding historical price, determine that the corresponding order of characteristic sequence has wind
Danger.
In one embodiment, this method also includes:In the case of it is determined that there is risk in the corresponding order of characteristic sequence,
Extract the goods number in characteristic sequence;Obtain the corresponding order of other characteristic sequences for including goods number;It is special according to other
Levy the corresponding user of the corresponding order of sequence credit grade and/or user under single act, determine that other characteristic sequences are corresponding
Order whether there is risk.
In one embodiment, also include before generating corresponding characteristic sequence to each order:Obtain order corresponding
User identifies;Whether it is black list user according to user mark inquiry user, in the case where user is black list user, will uses
The order at family is rejected.
According to another embodiment of the invention there is provided a kind of risk order control device, including:Characteristic sequence is carried
Unit is taken, for generating corresponding characteristic sequence to each order;Order polymerized unit, for obtaining identical characteristic sequence pair
The order answered;Risk control unit, for reaching present count in preset time in the corresponding quantity on order of same characteristic sequence
In the case of amount, according to the corresponding purchase information of characteristic sequence, determine that the corresponding order of characteristic sequence whether there is risk.
In one embodiment, characteristic sequence extraction unit, for each goods number in each order and respectively
The corresponding pricing information of individual goods number is encoded generates corresponding characteristic sequence to each order.
In one embodiment, purchase information includes the corresponding pricing information of each goods number, and pricing information includes working as
Preceding price and historical price;Risk control unit, the situation for corresponding historical price to be not present in any one goods number
Under, or, exceed the feelings of preset difference value with the difference of corresponding historical price in the corresponding present price of any one goods number
Under condition, determine that the corresponding order of characteristic sequence has risk.
In one embodiment, purchase information includes the credit grade of the corresponding user of order;Risk control unit, is used for
In the case where the credit grade of user is less than predetermined level, determine that order has risk.
In one embodiment, purchase information includes single act under the corresponding user of order;Risk control unit, for
Single act is in the case that automatized script places an order, to determine that order has risk under user.
In one embodiment, purchase information includes the corresponding pricing information of each goods number, the corresponding user of order
Credit grade and the corresponding user of order under single act, pricing information include present price and historical price;Risk control
Unit, for less than single act under predetermined level and user being that automatized script places an order and any one business in the credit grade of user
Product number corresponding present price with the difference of corresponding historical price more than in the case of preset difference value, determine characteristic sequence pair
There is risk in the order answered.
In one embodiment, risk control unit, is additionally operable to it is determined that the corresponding order of characteristic sequence has risk
In the case of, the goods number in characteristic sequence is extracted, the corresponding order of other characteristic sequences for including goods number is obtained, according to
Single act under the credit grade of the corresponding user of the corresponding order of other characteristic sequences and/or user, determines other characteristic sequences
Corresponding order whether there is risk.
In one embodiment, the device also includes:Risk anticipation unit, for obtaining the corresponding user's mark of order,
Whether it is black list user according to user mark inquiry user, in the case where user is black list user, by the order of user
Reject.
According to still another embodiment of the invention there is provided a kind of risk order control device, including:Memory;With
And the processor of memory is coupled to, processor is configured as, based on the instruction being stored in memory devices, performing as foregoing
The control method of the risk order of any one embodiment.
According to still a further embodiment there is provided a kind of computer-readable recording medium, be stored thereon with calculating
Machine program, it is characterised in that the program realizes the controlling party of the risk order of any one foregoing embodiment when being executed by processor
The step of method.
Characteristic sequence of the invention by automatically extracting order, compares characteristic sequence acquisition identical characteristic sequence corresponding
Order, and then can know whether the corresponding order of same characteristic sequence reaches larger quantity in a short time, for the short time
Reach that then further information is bought in analysis to large number of order, finally determines that this kind of order whether there is risk.Energy of the present invention
It is enough to find risk order in time, the efficiency of risk control is improved, effective control is carried out to risk order, arbitrage can be greatly reduced
The generation of behavior, maintaining enterprise interests reduce enterprises' loss.
By referring to the drawings to the detailed description of the exemplary embodiment of the present invention, further feature of the invention and its
Advantage will be made apparent from.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 shows the structural representation of the control device of the risk order of one embodiment of the present of invention.
Fig. 2 shows the structural representation of the control device of the risk order of an alternative embodiment of the invention.
Fig. 3 shows the schematic flow sheet of the control method of the risk order of one embodiment of the present of invention.
Fig. 4 shows the schematic flow sheet of the control method of the risk order of an alternative embodiment of the invention.
Fig. 5 shows the structural representation of the control device of the risk order of another embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Below
Description only actually at least one exemplary embodiment is illustrative, is never used as to the present invention and its application or makes
Any limitation.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, belongs to the scope of protection of the invention.
The problem of for identification in the prior art for arbitrage behavior risk order and low treatment effeciency, propose we
Case.
The control device of risk order in embodiments of the invention can respectively by various computing devices or computer system Lai
Realize, be described with reference to Fig. 1 and Fig. 2.
Fig. 1 is the structure chart of one embodiment of the control device of risk order of the present invention.As shown in figure 1, the embodiment
Device 10 include:Memory 110 and the processor 120 for being coupled to the memory 110, processor 120 are configured as being based on
The instruction of storage in the memory 110, performs the control method of the risk order in the present invention in any one embodiment.
Wherein, memory 110 is such as can include system storage, fixed non-volatile memory medium.System is stored
Device is such as the operating system that is stored with, application program, Boot loader (Boot Loader), database and other programs.
Fig. 2 is the structure chart of another embodiment of the control device of risk order of the present invention.As shown in Fig. 2 the implementation
The device 10 of example includes:Memory 110 and processor 120, can also include input/output interface 230, network interface 240,
Memory interface 250 etc..It can for example pass through bus between these interfaces 230,240,250 and memory 110 and processor 120
260 connections.Wherein, input/output interface 230 is display, the input-output equipment such as mouse, keyboard, touch-screen provides connection and connect
Mouthful.Network interface 240 provides connecting interface for various networked devices, for example, may be coupled to database server or high in the clouds is deposited
Store up server etc..The external storages such as memory interface 250 is SD card, USB flash disk provide connecting interface.
The control method of the risk order of the present invention is described with reference to Fig. 3.
Fig. 3 is the flow chart of control method one embodiment of risk order of the present invention.As shown in figure 3, the embodiment
Method includes:
Step S302, corresponding characteristic sequence is generated to each order.
Order includes user profile, user's mark of the unique mark user such as the account or user name of user, connection
It is mode etc., in addition to merchandise news, for example, the type of merchandise (for example, single product, suit, present etc.), goods number, price letter
Breath etc..Pricing information is for example including display price, discount, user is returned it is existing etc., wherein, discount refers to that user can also see in commodity
That arrives is preferential, returns the price reduction for now referring to that commodity are added after shopping cart.
Extract each goods number and the corresponding pricing information of each goods number in each order;To each commodity
Numbering and the corresponding pricing information of each goods number carry out coding generation characteristic sequence.The characteristic sequence of generation can be with ordering
Odd numbers correspondence is stored in database.
Further, the type of merchandise in each order can also be extracted, each goods number and each goods number pair
The pricing information answered;To the type of merchandise, each goods number and the corresponding pricing information of each goods number carry out coding life
Into characteristic sequence.
Characteristic sequence includes the type of merchandise, is easy to follow-up statistical analysis, can be directed to each type of commodity statistics
It produces the situation of risk order, and then takes different precautionary measures.
When being encoded to the characteristic information of order, it can be advised according to the actual requirements according to certain coded sequence and coding
Then carry out.For example, according to the type of merchandise by single product to present to the order being set with, and goods number is ascending to each
Goods number is encoded again after being ranked up, at the same corresponding pricing information according to goods number order and from price to
Discount is encoded to returning after existing order is ranked up again.Coding rule such as binary coding, decimal coded or other
Coded system, and different coding rules can be respectively adopted in goods number and pricing information.
For example, an order contains a variety of commodity, the wherein type of merchandise includes single product, and (a single product are used as master to present
Product have present), suit (may have present comprising multiple main product) etc..Characteristic sequence generates logic:Whether containing single product-be
The no present-whether numbered containing suit-mono- product 10 | single product 11 are numbered ..., and-present 20 is numbered | present 21 is numbered ...-that contains is set with
30 numberings | the numbering ... of suit 31-mono- price of product 10 | single price ... of the product 11-price of present 20 | the price ... of present 21-set
Fill 30 prices | suit 31 prices ...-discount of mono- product 10 | single discount ... of the product 11-discount of present 20 | the discount ... of present 21-
It is set with 30 discounts | suit 31 discounts ...-mono- product 10 return existing | and single product 11 return existing ..., and-present 20 is returned now | and present 21 is returned
Existing ...-suit 30 returns existing | and suit 31 returns existing ....Decollator is used for the commodity for splitting different numberings, and ellipsis represents such
The commodity of type also include the commodity of other numberings except the commodity enumerated, and the numerals such as 10,11,20,21 represent goods number.
According to the content of above-mentioned order, its characteristic sequence is represented by:
1-1-1-10|11……-20|21……-30|31……-30.00|45.50……-12.00|345.00……-
46.00|28.00……-5.00|3.00……-0.00|50.00……-0.00|3.00……-0.00|0.00……-0.00
|0.00……-5.00|10.00……。
The implication of features described above sequence is:Containing single product, it is 10 to be numbered containing suit-mono- product 10-containing present-| single product 11, which are numbered, is
The numbering of 11 ...-present 20 is 20 | and the numbering of present 21 is 21 ..., and the numbering of-suit 30 is 30 | and the numbering of suit 31 is 31 ...-it is mono-
The price of product 10 is 30.00 | and single price of product 11 is 45.50 ..., and the price of-present 20 is 12.00 | and the price of present 21 is
345.00 ...-suit, 30 prices be 46.00 | it is 28.00 to be set with 31 prices ...-the mono- discount of product 10 be 5.00 | single folding of product 11
It is 0.00 to detain as 3.00 ... the discount of-present 20 | | the discount of present 21 is 50.00 ...-suit 30 discounts be 0.00 | be set with 31
Discount is 3.00 ...-and mono- product 10 are returned is now 0.00 | and it is now 0.00 that single product 11, which are returned ..., and-present 20 returns is now 0.00 | present 21
Return is now 0.00 ...-and to return be now 5.00 to suit 30 | and it is now 10.00 to be set with 31 and return ....
It will be understood by those skilled in the art that the characteristic information generation feature sequence in order can be chosen according to the actual requirements
Row, can also combine the other information generation characteristic sequence of commodity.
Order can also be carried out obtaining the corresponding user of order before the characteristic sequence of order is extracted and identified, according to
Whether family mark inquiry user is black list user, and in the case where user is black list user, the order of user is rejected.
Step S304, obtains the corresponding order of identical characteristic sequence.
The corresponding order of identical characteristic sequence can be obtained by comparing characteristic sequence.
Step S306, the situation of predetermined number is reached in the corresponding quantity on order of same characteristic sequence in preset time
Under, according to the corresponding purchase information of characteristic sequence, determine that the corresponding order of characteristic sequence whether there is risk.
Polymerization can be carried out to order according to characteristic sequence every preset time and obtain the corresponding order of same characteristic sequence
Quantity.
The corresponding quantity on order of same characteristic sequence reaches that predetermined number shows that this feature sequence pair should in preset time
Commodity there is fast-selling feature, now need further analysis to cause the reason for its is fast-selling to judge whether the order is wind
Dangerous order.
The corresponding pricing information of each goods number in order can be included by buying information.
, can be by calling the interface of database, directly according to goods number because characteristic sequence includes goods number
Obtain the corresponding historical price of each goods number.And it is corresponding each goods number can directly to be obtained from characteristic sequence
Display price, it is preferential, return the pricing information such as existing and calculate and obtain present price.
In the case where corresponding historical price is not present in any one goods number, or, in any one goods number pair
In the case that the present price answered exceedes preset difference value with the difference of corresponding historical price, determine that this feature sequence is corresponding and order
Singly there is risk.
Purchase information can include the credit grade of the corresponding user of order.
The user that can be included according to order is identified by the credit grade for the interface captures user for calling database.
In the case where the credit grade of user is less than predetermined level, determine that the order has risk.
Single act under the corresponding user of order can be included by buying information.
Corresponding routine interface can be called to obtain single act under the corresponding user of the order number according to order number.
Single act is in the case that automatized script places an order, to determine that order has risk under user.
Above-mentioned a variety of purchase information can carry out any combination and judge that order whether there is risk.For example, purchase information can
With single act under the credit grade including the corresponding user of order and the corresponding user of order, it is less than in the credit grade of user pre-
If single act is in the case that automatized script places an order, to determine that the order has risk under grade and user.In another example, in user
Credit grade less than single act under predetermined level and user to be that automatized script places an order and any one goods number is corresponding work as
In the case that preceding price exceedes preset difference value with the difference of corresponding historical price, determine that the corresponding order of characteristic sequence has wind
Danger.
Above-mentioned determination order whether there is the embodiment of risk, can find that commodity price sets mistake in time, especially
The situation that arbitrage user is gone on the razzle-dazzle using automated procedures when commodity price sets mistake.For arbitrage user in a short time
The behavior placed an order, the commodity that normal conditions are included in placing an order are identical, and this wind can be found in time by comparing characteristic sequence
Dangerous order.
The corresponding order numbers of each goods number can also be counted by comparing characteristic sequence, and then can be obtained corresponding
Quantity on order reaches the goods number of predetermined number in preset time, can enter for the corresponding purchase information of the goods number
Row analysis, determines that order whether there is risk.Determine that order may be referred to above-mentioned implementation with the presence or absence of risk according to purchase information
Method in example.
Above-described embodiment compares characteristic sequence and obtains identical characteristic sequence pair by automatically extracting the characteristic sequence of order
The order answered, and then can know whether the corresponding order of same characteristic sequence reaches larger quantity in a short time, for short
Time reaches that then further information is bought in analysis to large number of order, finally determines that this kind of order whether there is risk.It is above-mentioned
Fact Example can find risk order in time, improve the efficiency of risk control, and effective control is carried out to risk order, can be greatly
The generation of arbitrage behavior is reduced, maintaining enterprise interests reduce enterprises' loss.
The control method of the risk order of another embodiment of the present invention is described with reference to Fig. 4.
Fig. 4 is the flow chart of another embodiment of the control method of risk order of the present invention.As shown in figure 4, the embodiment
Method include:
Step S402, obtains the corresponding user's mark of order.
Whether step S404, be black list user according to user mark inquiry user, if user is black list user,
Step S405 is performed, step S406 is otherwise performed.
Step S405, the order of black list user is rejected.
Malicious user is anticipated according to blacklist, it is possible to reduce the processing quantity of order, improve treatment effeciency.
Blacklist can be generated according to credit record of user etc..
Step S406, extracts the characteristic sequence of order.
Step S408, adds 1 by the corresponding order counter of characteristic sequence.
Characteristic sequence and corresponding order number can be stored in database, while setting order for each characteristic sequence
Counter.After the characteristic sequence for extracting an order every time, whether inquiry this feature sequence has stored in database, if
It is stored, then corresponding order counter is added 1, if do not stored, storage this feature sequence and corresponding order number, and
Order counter is set to 1.Order counter is zeroed out every preset time, while deleting corresponding storage content.
Step S410, judges whether to reach preset time, if reaching preset time, perform step S412, otherwise from
Step S402 starts to repeat above-mentioned steps.
Step S412, obtains the corresponding order numbers of each characteristic sequence, and judge the corresponding order numbers of each characteristic sequence
Whether predetermined number is reached, restart timing and by order counter clear.The feature of predetermined number is reached for order numbers
Sequence, then perform step S414, the characteristic sequence of predetermined number be not reaching to for order numbers, then perform step S415.
Characteristic sequence and the former storage location of corresponding sequence information removal that will have been stored are also needed to, for follow-up order
With the presence or absence of the analysis of risk, former storage location is emptied.Abovementioned steps are repeated since step S402.
Step S414, according to the corresponding purchase information of characteristic sequence, determines that the corresponding order of characteristic sequence whether there is wind
Danger, if order has risk, performs step S416, otherwise performs step S415.
The corresponding order of judging characteristic sequence can use the method in the corresponding embodiments of Fig. 3 with the presence or absence of risk.
Step S415, order is let pass.
Step S416, order is sent to risk processing system and further handled.
The present invention also provides a kind of control device of risk order, is described with reference to Fig. 5.
Fig. 5 is the structure chart of another embodiment of the control device of risk order of the present invention.As shown in figure 5, the device 50
Including:
Characteristic sequence extraction unit 502, for generating corresponding characteristic sequence to each order.
Characteristic sequence extraction unit 502, for each goods number and each goods number pair in each order
The pricing information answered is encoded generates corresponding characteristic sequence to each order.
Order polymerized unit 504, for obtaining the corresponding order of identical characteristic sequence.
Risk control unit 506, it is default for being reached in the corresponding quantity on order of same characteristic sequence in preset time
In the case of quantity, according to the corresponding purchase information of characteristic sequence, determine that the corresponding order of characteristic sequence whether there is risk.
In one embodiment, purchase information can include the corresponding pricing information of each goods number, pricing information bag
Include present price and historical price;Risk control unit 506, for corresponding historical price to be not present in any one goods number
In the case of, or, it is default poor to exceed in the corresponding present price of any one goods number and the difference of corresponding historical price
In the case of value, determine that the corresponding order of characteristic sequence has risk.
In one embodiment, purchase information can include the credit grade of the corresponding user of order;Risk control unit
506, in the case of being less than predetermined level in the credit grade of user, determine that order has risk.
In one embodiment, purchase information can include single act under the corresponding user of order;Risk control unit
506, under user single act be in the case that automatized script places an order, to determine that order has risk.
In one embodiment, purchase information can be corresponding including the corresponding pricing information of each goods number, order
Single act under the corresponding user of credit grade and order of user, pricing information includes present price and historical price.
Risk control unit 506, for less than single act under predetermined level and user being automatic in the credit grade of user
Change script places an order and the corresponding present price of any one goods number exceedes preset difference value with the difference of corresponding historical price
In the case of, determine that the corresponding order of characteristic sequence has risk.
In one embodiment, risk control unit 506, are additionally operable to it is determined that the corresponding order of characteristic sequence has risk
In the case of, the goods number in characteristic sequence is extracted, the corresponding order of other characteristic sequences for including goods number, root is obtained
According to single act under the credit grade of the corresponding user of the corresponding order of other characteristic sequences and/or user, other feature sequences are determined
Corresponding order is arranged with the presence or absence of risk.
In one embodiment, the device 50 can also include risk anticipation unit 508, for obtaining the corresponding use of order
Whether family is identified, be black list user according to user mark inquiry user, in the case where user is black list user, by user
Order reject.
The present invention also provides a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that should
The step of control method of risk order of any one foregoing embodiment is realized when program is executed by processor.
Those skilled in the art should be understood that embodiments of the invention can be provided as method, system or computer journey
Sequence product.Therefore, in terms of the present invention can be using complete hardware embodiment, complete software embodiment or combination software and hardware
The form of embodiment.Moreover, the present invention can be used in one or more calculating for wherein including computer usable program code
Machine can use the meter implemented on non-transient storage medium (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of calculation machine program product.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.Being interpreted as can be by each in computer program instructions implementation process figure and/or block diagram
Flow and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer journeys can be provided
Sequence instruction to all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices processor with
Produce a machine so that being produced by the instruction of computer or the computing device of other programmable data processing devices is used for
Realize the dress for the function of being specified in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames
Put.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc. should be included in the scope of the protection.
Claims (18)
1. a kind of control method of risk order, it is characterised in that including:
Corresponding characteristic sequence is generated to each order;
Obtain the corresponding order of identical characteristic sequence;
In the case where the corresponding quantity on order of same characteristic sequence reaches predetermined number in preset time, according to the feature
The corresponding purchase information of sequence, determines that the corresponding order of the characteristic sequence whether there is risk.
2. according to the method described in claim 1, it is characterised in that
Each goods number in each order and the corresponding pricing information of each goods number are encoded and each ordered
Single corresponding characteristic sequence of generation.
3. according to the method described in claim 1, it is characterised in that
The purchase information includes the corresponding pricing information of each goods number, and the pricing information includes present price and history
Price;
In the case where corresponding historical price is not present in any one goods number, or, it is corresponding in any one goods number
In the case that pricing information exceedes preset difference value with the difference of corresponding historical price, the corresponding order of the characteristic sequence is determined
There is risk.
4. according to the method described in claim 1, it is characterised in that
The purchase information includes the credit grade of the corresponding user of order;
In the case where the credit grade of the user is less than predetermined level, determine that the order has risk.
5. according to the method described in claim 1, it is characterised in that
The purchase information includes single act under the corresponding user of order;
Single act is in the case that automatized script places an order, to determine that the order has risk under the user.
6. according to the method described in claim 1, it is characterised in that
It is described purchase information include the corresponding pricing information of each goods number, the corresponding user of the order credit grade with
And single act under the corresponding user of the order, the pricing information includes present price and historical price;
In the case where the credit grade of the user is less than predetermined level and the user, single act is that automatized script places an order and any
In the case that the corresponding present price of individual goods number exceedes preset difference value with the difference of corresponding historical price, the spy is determined
Levy the corresponding order of sequence and there is risk.
7. method according to claim 2, it is characterised in that also include:
In the case of it is determined that the corresponding order of the characteristic sequence has risk, the commodity extracted in the characteristic sequence are compiled
Number;
Obtain the corresponding order of other characteristic sequences for including the goods number;
According to single act under the credit grade of the corresponding user of the corresponding order of other described characteristic sequences and/or user, it is determined that
The corresponding order of described other characteristic sequences whether there is risk.
8. according to the method described in claim 1, it is characterised in that also wrapped before generating corresponding characteristic sequence to each order
Include:
Obtain the corresponding user's mark of order;
Inquire about whether the user is black list user according to user mark, in the situation that the user is black list user
Under, the order of the user is rejected.
9. a kind of control device of risk order, it is characterised in that including:
Characteristic sequence extraction unit, for generating corresponding characteristic sequence to each order;
Order polymerized unit, for obtaining the corresponding order of identical characteristic sequence;
Risk control unit, the feelings for reaching predetermined number in preset time in the corresponding quantity on order of same characteristic sequence
Under condition, according to the corresponding purchase information of the characteristic sequence, determine that the corresponding order of the characteristic sequence whether there is risk.
10. device according to claim 9, it is characterised in that
The characteristic sequence extraction unit, for corresponding to each goods number and each goods number in each order
Pricing information is encoded generates corresponding characteristic sequence to each order.
11. device according to claim 9, it is characterised in that
The purchase information includes the corresponding pricing information of each goods number, and the pricing information includes present price and history
Price;
The risk control unit, in the case of corresponding historical price is not present in any one goods number, or,
In the case that the corresponding present price of any one goods number exceedes preset difference value with the difference of corresponding historical price, institute is determined
State the corresponding order of characteristic sequence and there is risk.
12. device according to claim 9, it is characterised in that
The purchase information includes the credit grade of the corresponding user of order;
The risk control unit, in the case of being less than predetermined level in the credit grade of the user, it is determined that described order
Singly there is risk.
13. device according to claim 9, it is characterised in that
The purchase information includes single act under the corresponding user of order;
The risk control unit, under the user single act be in the case that automatized script places an order, it is determined that described
There is risk in order.
14. device according to claim 9, it is characterised in that
It is described purchase information include the corresponding pricing information of each goods number, the corresponding user of the order credit grade with
And single act under the corresponding user of the order, the pricing information includes present price and historical price;
The risk control unit, for being less than single act under predetermined level and the user in the credit grade of the user
Automatized script places an order and the corresponding present price of any one goods number and the difference of corresponding historical price are poor more than default
In the case of value, determine that the corresponding order of the characteristic sequence has risk.
15. device according to claim 10, it is characterised in that
The risk control unit, is additionally operable in the case of it is determined that the corresponding order of the characteristic sequence has risk, extracts
Goods number in the characteristic sequence, obtains the corresponding order of other characteristic sequences for including the goods number, according to institute
State the corresponding user of the corresponding order of other characteristic sequences credit grade and/or user under single act, it is determined that described, other are special
The corresponding order of sequence is levied with the presence or absence of risk.
16. device according to claim 9, it is characterised in that also include:
Whether risk anticipation unit, for obtaining the corresponding user's mark of order, the user is inquired about according to user mark
For black list user, in the case where the user is black list user, the order of the user is rejected.
17. a kind of control device of risk order, it is characterised in that including:
Memory;And
The processor of the memory is coupled to, the processor is configured as based on the finger being stored in the memory devices
Order, performs the control method of the risk order as described in claim any one of 1-8.
18. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the program is by processor
The step of any one of claim 1-8 methods described is realized during execution.
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108197956A (en) * | 2017-12-29 | 2018-06-22 | 上海携程商务有限公司 | The risk control method and system of the product exception of electric business platform |
CN108198071A (en) * | 2017-11-30 | 2018-06-22 | 武汉旷腾信息技术有限公司 | A kind of futures sales counter risk control method and system |
CN108230120A (en) * | 2018-02-07 | 2018-06-29 | 上海携程商务有限公司 | Method, system, equipment and the storage medium of order price abnormal monitoring |
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WO2019076001A1 (en) * | 2017-10-18 | 2019-04-25 | 北京京东尚科信息技术有限公司 | Information updating method and device |
CN112101691A (en) * | 2019-06-18 | 2020-12-18 | 创新先进技术有限公司 | Method and device for dynamically adjusting risk level and server |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20010034636A1 (en) * | 2000-04-19 | 2001-10-25 | Yasuaki Ikemura | Merchandise order apparatus and method thereof, and recording medium |
CN101344948A (en) * | 2007-07-12 | 2009-01-14 | 纬创资通股份有限公司 | Method for managing shopping website |
US20120116942A1 (en) * | 2010-11-05 | 2012-05-10 | Deutsche Boerse Ag | Computer system and method for generating and executing orders within a price range |
CN103593767A (en) * | 2012-08-17 | 2014-02-19 | 纽海信息技术(上海)有限公司 | E-commerce system and order submission method |
CN104463544A (en) * | 2014-12-16 | 2015-03-25 | 北京京东尚科信息技术有限公司 | Method and system for preventing order separation extracting |
CN105069626A (en) * | 2015-07-23 | 2015-11-18 | 北京京东尚科信息技术有限公司 | Detection method and detection system for shopping abnormity |
CN105354739A (en) * | 2015-12-14 | 2016-02-24 | 北京京东尚科信息技术有限公司 | Method and device for generating order |
CN106056425A (en) * | 2016-05-24 | 2016-10-26 | 北京京东尚科信息技术有限公司 | Order data processing method and processing device |
CN106296223A (en) * | 2016-08-08 | 2017-01-04 | 乐视控股(北京)有限公司 | A kind of request processing method and device |
CN106651368A (en) * | 2016-10-08 | 2017-05-10 | 上海携程商务有限公司 | Order-scalping-preventing payment mode control method and control system |
-
2017
- 2017-05-31 CN CN201710397844.8A patent/CN107133856B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20010034636A1 (en) * | 2000-04-19 | 2001-10-25 | Yasuaki Ikemura | Merchandise order apparatus and method thereof, and recording medium |
CN101344948A (en) * | 2007-07-12 | 2009-01-14 | 纬创资通股份有限公司 | Method for managing shopping website |
US20120116942A1 (en) * | 2010-11-05 | 2012-05-10 | Deutsche Boerse Ag | Computer system and method for generating and executing orders within a price range |
CN103593767A (en) * | 2012-08-17 | 2014-02-19 | 纽海信息技术(上海)有限公司 | E-commerce system and order submission method |
CN104463544A (en) * | 2014-12-16 | 2015-03-25 | 北京京东尚科信息技术有限公司 | Method and system for preventing order separation extracting |
CN105069626A (en) * | 2015-07-23 | 2015-11-18 | 北京京东尚科信息技术有限公司 | Detection method and detection system for shopping abnormity |
CN105354739A (en) * | 2015-12-14 | 2016-02-24 | 北京京东尚科信息技术有限公司 | Method and device for generating order |
CN106056425A (en) * | 2016-05-24 | 2016-10-26 | 北京京东尚科信息技术有限公司 | Order data processing method and processing device |
CN106296223A (en) * | 2016-08-08 | 2017-01-04 | 乐视控股(北京)有限公司 | A kind of request processing method and device |
CN106651368A (en) * | 2016-10-08 | 2017-05-10 | 上海携程商务有限公司 | Order-scalping-preventing payment mode control method and control system |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019076001A1 (en) * | 2017-10-18 | 2019-04-25 | 北京京东尚科信息技术有限公司 | Information updating method and device |
CN108198071A (en) * | 2017-11-30 | 2018-06-22 | 武汉旷腾信息技术有限公司 | A kind of futures sales counter risk control method and system |
CN108197956A (en) * | 2017-12-29 | 2018-06-22 | 上海携程商务有限公司 | The risk control method and system of the product exception of electric business platform |
CN108197956B (en) * | 2017-12-29 | 2022-03-29 | 上海携程商务有限公司 | Method and system for controlling product abnormity risk of e-commerce platform |
CN108416612A (en) * | 2018-01-31 | 2018-08-17 | 厦门快商通信息技术有限公司 | The fail-safe system of the error-preventing method and express delivery price adjustment of express delivery price adjustment |
CN108416612B (en) * | 2018-01-31 | 2020-10-23 | 厦门快商通信息技术有限公司 | Express price adjustment error prevention method and express price adjustment error prevention system |
CN108230120A (en) * | 2018-02-07 | 2018-06-29 | 上海携程商务有限公司 | Method, system, equipment and the storage medium of order price abnormal monitoring |
CN108776899A (en) * | 2018-06-01 | 2018-11-09 | 阿里巴巴集团控股有限公司 | A kind of exception sales person identification method, apparatus and processing equipment |
CN109544290A (en) * | 2018-11-16 | 2019-03-29 | 深圳云行智能科技有限公司 | A kind of air control method and its system and storage medium based on algorithm identification mistake |
CN112101691A (en) * | 2019-06-18 | 2020-12-18 | 创新先进技术有限公司 | Method and device for dynamically adjusting risk level and server |
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