CN106651382A - Method and device for recognizing business type of business operation - Google Patents
Method and device for recognizing business type of business operation Download PDFInfo
- Publication number
- CN106651382A CN106651382A CN201510708764.0A CN201510708764A CN106651382A CN 106651382 A CN106651382 A CN 106651382A CN 201510708764 A CN201510708764 A CN 201510708764A CN 106651382 A CN106651382 A CN 106651382A
- Authority
- CN
- China
- Prior art keywords
- business
- service
- class
- account
- identified
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 60
- 238000012544 monitoring process Methods 0.000 claims abstract description 18
- 230000008569 process Effects 0.000 claims description 30
- 230000006399 behavior Effects 0.000 description 9
- 238000003860 storage Methods 0.000 description 9
- 239000007787 solid Substances 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000010006 flight Effects 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 238000007592 spray painting technique Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 239000004753 textile Substances 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- 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
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
Abstract
The invention discloses a method and device for recognizing the business type of business operation, and the method comprises the steps: monitoring the business operation received by an account, obtaining the business operation of the business operation after the account is monitored to receive the business operation, and recognizing the business type of business operation according to a preset recognition rule and the obtained business information, wherein the preset recognition rule comprises the rules of recognizing the business operation according to an included business remark information, and/or a rule of recognizing the business operation according to the business types of the two accounts carrying out the business operation. The method can effectively improve the recognition accuracy of the business type of the business operation.
Description
Technical field
The application is related to field of computer technology, more particularly to a kind of identification of the affiliated class of service of business operation
Method and device.
Background technology
It is a kind of to be referred to as interindividual ecommerce (Customer to the development of information technology
Customer, C2C) service architecture be widely applied.With service provider (such as：Website) it is straight
The pattern that junction provides a user with service is different, the service mode that C2C service architectures are adopted for：Service is provided
Business provides the user the platform of service interaction, and business service is provided towards another user by a user.
At present, under the support of Internet technology, the account that the user in C2C service architectures is registered,
So become the access port of business service：User with Service Source can be used by the account of itself to other
Family provides on all kinds of lines or business under line, and correspondingly, other users can also be by the account of itself to offer
The account of service sends business operation, business needed for obtaining.For example：User is using itself account to selling online
Selling the account of commodity carries out delivery operation, the commodity needed for obtaining；Again for example：User using itself account to
Another account carries out transfer operation, the intermediary sevices under acquisition line etc..Under C2C service architectures, not only
The demand of business can be carried out according to user between the business numerous and complicated that user is provided, and different accounts
Diversified business operation.Based on this, may also there is showing for violation operation between account in actual applications
As (such as：Account fries letter operation, and account is fried letter and referred to by paying with the operation of accumulation account credit worthiness in violation of rules and regulations).
In order to reduce or avoiding the appearance of violation business operation, also for being managed to all kinds of business, service is provided
The business operation that business would generally be directed between different accounts is monitored identification.
In prior art, the monitoring identification business operation between account, often by identification business operation institute
The class of service of category is realizing.Specifically, service provider would generally be according to the account for carrying out business operation
The factor such as time that family, business operation occur is recognizing the class of service belonging to the business operation between account.
For example：When the service system of service provider monitors that a certain account receives at short notice substantial amounts of not phase
When closing the delivery operation that account sends, then these delivery operations can be identified as suspicious operation (its by service system
Affiliated class of service to fry letter operation or may deceive money operation).
But, it is visible by above-mentioned example, according in prior art to the monitoring RM of business operation,
It is only capable of identifying that the business operation between above-mentioned account is suspicious roughly, but cannot recognize that these suspicious operations are concrete
Class of service, that is to say, that business can not relatively accurately be identified using mode of the prior art
The class of service of operation.
The content of the invention
The embodiment of the present application provides a kind of recognition methods of the affiliated class of service of business operation and device, to solve
The relatively low problem of the accuracy rate that certainly class of service belonging to business operation is identified in prior art.
A kind of recognition methods of the affiliated class of service of business operation that the embodiment of the present application is provided, methods described bag
Include：
The business operation that monitoring account is received；
After monitoring that the account receives the business operation, the business letter of the business operation is obtained
Breath；
According to the recognition rule for pre-setting and the business information that gets, the business operation is recognized
Affiliated class of service；Wherein, the recognition rule for pre-setting includes：Include according in business information
Business remark information the business operation is identified, and/or according to the both sides for carrying out the business operation
The class of service of account is identified to the business operation.
A kind of identifying device of the affiliated class of service of business operation that the embodiment of the present application is also provided, including：
Monitoring modular, for monitoring the business operation of account reception；
Acquisition module, for after monitoring that the account receives the business operation, obtaining the business
The business information of operation；
Identification module, for according to the recognition rule for pre-setting and the business information for getting, knowing
Class of service belonging to not described business operation；Wherein, the recognition rule for pre-setting includes：According to
The business remark information included in business information is identified, and/or according to carrying out to the business operation
The class of service of both sides' account of business operation is identified to the business operation.
Recognition methods and dress based on the affiliated class of service of a kind of business operation provided in the embodiment of the present application
Put, when business operation is carried out between different accounts, the service system on service provider backstage can obtain industry
The business information of business operation, if including the business remarks related to the business operation in the business information for getting
Information, then, service system can be according to recognition rule default, for business remark information, to industry
Business remark information is identified, to determine the class of service of business operation；Additionally, service system can be with
According to the recognition rule of the class of service of recipient's account default, for business operation, identification business behaviour
The class of service of work.Compared with prior art, due to both sides' account of business remark information and business operation
Class of service, can clearly reflect the purpose of business operation, therefore using the RM in the application,
The accuracy being identified to the class of service belonging to business operation can effectively be lifted.
Description of the drawings
Accompanying drawing described herein is used for providing further understanding of the present application, constitutes of the application
Point, the schematic description and description of the application is used to explain the application, does not constitute to the application not
Work as restriction.In the accompanying drawings：
Fig. 1 for the affiliated class of service of business operation that the embodiment of the present application is provided identification process
Fig. 2 for the recognition methods of the affiliated class of service of business operation that the embodiment of the present application is provided concrete application
The flow chart of example；
Fig. 3 for the affiliated class of service of business operation that the embodiment of the present application is provided identifying device structural representation
Figure.
Specific embodiment
It is specifically real below in conjunction with the application to make purpose, technical scheme and the advantage of the application clearer
Apply example and corresponding accompanying drawing is clearly and completely described to technical scheme.Obviously, it is described
Embodiment is only some embodiments of the present application, rather than the embodiment of whole.Based on the enforcement in the application
Example, the every other enforcement that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of the application protection.
As it was previously stated, in the service system using C2C business service frameworks, can be certainly between different accounts
By all kinds of business operations are carried out, the possibility that there is violation operation is also resulted in, such as：Stir-fry letter behaviour between account
Work, wash sale etc..In order to avoid the phenomenon of this kind of violation operation, it is ensured that the fairness of network environment, together
When, also for being managed to normal account, service provider is accomplished by the service system of itself
Business operation between account is identified, and determines the service class belonging to business operation as precisely as possible
Not.This is based on, there is provided the identification of following affiliated classs of service of business operation in the embodiment of the present application
Method.As shown in Figure 1.
Fig. 1 for the affiliated class of service of business operation that the embodiment of the present application is provided identification process, process tool
Body is comprised the following steps：
S101：The business operation that monitoring account is received.
In the embodiment of the present application, described business operation can be specifically to obtain or completing between account
The operation that business service is carried out, including but not limited to：Transfer operation, payment operation etc..Different user leads to
Cross the account of itself to send after above-mentioned business operation to the account of the business of offer, just can obtain or complete phase
The business service answered, but just it has been observed that the business operation that user is sent likely relates to violation operation,
It is accomplished by (describing, while be different from the account for sending business operation, rear recipient's account for convenience
In continuous description, by receive business operation account be referred to as recipient's account) received by business behaviour
Monitored in time, to be subsequently identified to the class of service of business operation.
S102：After monitoring that the account receives the business operation, the industry of the business operation is obtained
Business information.
User accesses to your account and have issued after business operation, generally can all generate corresponding business information, and business
The all of detailed content of business operation is contained in information, for example：Business operation sender's account, recipient
Account, the amount transferred accounts or pay, temporal information, business remark information etc..
In other words, business information can reflect the multinomial feature and attribute of business operation, also just can pass through
The business information specifically, performs following step S103 recognizing the class of service of business operation.
S103：According to the recognition rule for pre-setting and the business information that gets, the business is recognized
Class of service belonging to operation.
Wherein, the recognition rule for pre-setting includes：According to the business remarks letter included in business information
Breath is identified, and/or according to the service class of the both sides' account for carrying out the business operation to the business operation
It is other that the business operation is identified.
Class of service belonging to described business operation, that is, business operation it is to be obtained or complete it is concrete
The classification of business, for example：Shopping at network, for recharging service, ticket booking business, food and drink consumption etc..This Shen
Please in class of service can be by service provider (such as：Commodity website) it is pre-defined, this is not constituted to this
The restriction of application.
For the above-mentioned recognition rule for pre-setting：In a kind of embodiment of the application, it is possible to use
The rule being identified to business remark information is recognizing the class of service of business operation.
In such case, it is contemplated that in practical application, when user is sent using itself account to another account
To obtain during business service (business under business or line on line), user may be directed to the business to business operation
The corresponding business remark information of operation editor's input, specifically, obtains on line in the case of business in user,
User edits in the business remark information of input and generally comprises requirement of the user to business service, is carried with informing
For the user of business, for example：Buy in the scene of commodity on line, user may be in business remark information
It is middle to illustrate selected marque, color, size, and desired delivery availability etc. is illustrated, these industry
Business remark information will be sent to the user for selling commodity, so as to provide corresponding commodity for buyer.Correspondingly,
In the case where user obtains line in the case of business service, user edits and is generally wrapped in the business remark information of input
Purpose of name containing user, contact method and this business operation etc., to inform the other user.
It can be seen that, if including business remark information in business information, then business remark information is identified,
The classification of the target service corresponding to business operation just can be relatively accurately determined, and then, also just can
The class of service of business operation is determined, for example：If the business remark information of certain delivery operation is " black
Textile XXL moneys ", then, this payment that user is sent can be identified according to the business remark information
Operation be in order to buy clothes, and then, it may be determined that the class of service of this business operation for being sent be " net
Network does shopping (clothes) ".Merely just illustrated with an example, do not constitute the restriction to the application.
In another kind of embodiment of the application, it is possible to use according to the industry of the account for receiving the business operation
The rule that is identified to the business operation of business classification is recognizing the class of service of business operation.
In this case, for recipient's account of business service is provided, it is believed that other use
The business operation that family sends to recipient's account, exactly in order to obtain the business that recipient's account is provided
Service, then, if it is possible to the class of service corresponding to the business service that recipient's account is provided is determined,
Also the classification of the business operation sent to the account can be just identified, for example：If it have been determined that going out certain account
Family is provided for recharging service, then, when recipient account of the account as delivery operation, it is believed that
Its delivery operation for receiving is in order to obtain for recharging service, that is, can be by the service class of delivery operation
It is not defined as " online generation supplements with money ".
Understand in from the discussion above, if the definition to class of service is detailed enough, then, using in the application
Above-mentioned recognition rule, the business operation of the violation between account not only can be identified, can also clearly know
Do not go out the class of service belonging to business operation each time.Additionally, default recognition rule in the application, may be used also
To include being identified for recipient's account, the positional information of sender's account, the class of business operation object
Mesh is (such as：Commodity classification etc.) be identified etc., the restriction to the application is not constituted here.
Above-mentioned steps for the application it should be noted that, it is contemplated that during practical application, send business operation
Account is registered in the service system of service provider, and no matter the business that user is carried out belongs on line
Business under business or line, is required for the business operation by being carried out between account with finishing service, that is to say, that
These business operations need the support of service system, therefore the prison of account is sent business operation in the application
Survey, recognize, can be completed by the service system on service provider backstage.Here do not constitute to the application's
Limit.
By above-mentioned steps, when business operation is carried out between different accounts, the clothes on service provider backstage
Business system can obtain the business information of business operation, if including in the business information for getting and business behaviour
Make related business remark information, then, service system can according to it is default, for business remark information
Recognition rule, business remark information is identified, to determine the class of service of business operation；Additionally,
Service system can be with according to the identification of the class of service of recipient's account default, for business operation rule
Then, the class of service of business operation is recognized.Compared with prior art, because business remark information and business are grasped
The class of service of both sides' account of work, can clearly reflect the purpose of business operation, therefore, using this
RM in application, can effectively lift be identified to the class of service belonging to business operation accurate
Property.
In order to clearly illustrate for the recognition methods of the affiliated class of service of business operation in the application, under
Face will be described in detail with reference to above-mentioned recognition rule.
First, default recognition rule is that the business is grasped according to the business remark information included in business information
The situation that work is identified
In this case, recognition rule is mainly for the business remark information included in business information.As
It is aforementioned, in the business operation that user is initiated using itself account to the account of the service that provides, may carry
There is user to edit the business remark information of input, while, it is contemplated that user edits the business remarks of input
Information is typically a kind of information of text formatting, then, for above-mentioned steps S103, when the industry
When including business remark information in business information, according to the recognition rule for pre-setting and the industry that gets
Business information, recognizes the class of service of the business operation, specifically includes：Extract from the business information
The business remark information, to the business remark information text identification process is carried out, and determines that the business is standby
The business keyword included in note information, according to the business keyword determined, recognizes the business behaviour
The class of service of work.
In the case of service operation for single time, in its business remark information, may containing more clearly with industry
The related text message of business classification, that is, business keyword.Described business keyword, can be reflection
The phrase or word of different business classification, for example：Business keyword is " air ticket ", " changing label " etc., is passed through
The two business keywords, the classification that can clearly reflect business is " air ticket business ".
For service system, to determine class of service by business keyword, it is necessary to build in advance
A kind of vertical corresponding relation between business keyword and class of service, as the one kind in the embodiment of the present application compared with
Excellent mode, can appliance services keywords database in advance in service system.So, when the account is in setting
Between receive in section it is single carry business remark information business information when, in above-mentioned steps, according to generation
The business keyword, recognize the class of service of the business operation, specifically include：According to the business
Keyword, in the business keywords database for pre-building, it is determined that the standard matched with the business keyword
Keyword, determines the affiliated class of service in the business keywords database of the standard keyword, will be described
Class of service belonging to standard keyword, the class of service being defined as belonging to the business keyword, according to institute
The class of service belonging to business keyword is stated, the class of service corresponding to the business operation is determined.
Wherein, the standard keyword is in the business keywords database, to be respectively directed to each class of service pre-
The standardized business keyword for first defining.
It is visible in from the discussion above, for different classs of service, can pre-define and each service class
Not Xiang Guanlian business keyword (in order to be distinguished, by predefined business keyword be referred to as standard close
Keyword), form business keywords database.Based on business keywords database, it is possible to in business remark information
Business keyword is identified.
For example：Certain business remark information is assumed for " the UZ7308 flights of 15 days change the UZ3607 signed as 16 days
Flight ", by carrying out text-processing to the business remark information, can extract " flight ", " changing label "
Etc. business keyword.Simultaneously it is assumed that in business keywords database, class of service is the industry of " air ticket business "
" flight ", " changing label " are included in the corresponding standard keyword of business, it is thus possible to determine that business is crucial
Word " flight ", the class of service of " changing label " belong to " air ticket business ", above-mentioned it is possible to further determine
Class of service corresponding to business remark information is just " air ticket business ".
The above and upper example are to receive single business operation and the business operation in recipient's account
Situation comprising clear and definite business keyword in business remark information, in actual applications, business remark information
Included in some business keywords, may can't clearly reflect very much corresponding class of service,
As in upper example reflection the date phrase " 15 days ", " 16 days ", and flight number " UZ7308 ",
" UZ3607 ", although these phrases more can not clearly reflect class of service " ticketing service ",
If combining with the business keyword " flight " in upper example, " changing label ", business remark information and " machine can be strengthened
The correlation of ticket service ".Therefore, in the embodiment of the present application, it is each in described business keywords database
Standard keyword corresponding to class of service can also be subdivided into following three types：Kernel keyword, auxiliary
Keyword, rejecting keyword.
Specifically, kernel keyword is the phrase that can intuitively reflect class of service, such as：" boat in upper example
Class ", " changing label " etc.；Assisted Keyword be to kernel keyword and meanwhile go out to be now able to strengthen class of service it is related
The phrase of property, such as：Date, flight number etc.；Rejecting keyword is with kernel keyword while going out to be now able to weak
Change the phrase of class of service correlation.By the division to standard keyword species, can more accurately know
Do not go out the class of service belonging to different business remark informations.
It should be noted that under practical application scene, recipient's account may be received within a period of time
To the multiple business operations from different accounts, be not each business operation business information in, all wrap
The business remark information of input is edited containing user, certain user accesses to your account when sending business operation, can't
Editor's incoming traffic remark information, in these received business operations, may only have partial service to grasp
Carry business remark information, also, the business keyword that included of entrained business remark information it
Between be likely to certain difference.So, in order to determine the class of service belonging to business operation,
In the embodiment of the present application, believe when the account receives multiple business remarks that carry in setting time section
During the business information of breath, according to the business keyword determined, the service class of the business operation is recognized
Not, specifically include：In the business keywords database for pre-building, each class of service is selected respectively corresponding each
Standard key set of words, according to selected described each standard key set of words, counts all business remark informations
In business keyword hit-count respectively in each standard key set of words, close for the business
Each class of service in keyword storehouse, it is determined that the hit-count for counting with received by the account
The ratio of the quantity of multiple business information for carrying business remark information, according to each hit-count for counting
And the ratio, the common affiliated class of service of each business keyword is recognized, it is crucial according to each business
Class of service belonging to word is common, determines the common affiliated class of service of each business operation.
In business keywords database, each class of service all correspond to multiple standard keywords, therefore be considered as
One standard key set of words.For the business remarks of the multiple business operations received by recipient's account are believed
For breath, the standard in the standard key set of words of different business classification in business keywords database may be hit
Keyword, if there is this kind of situation, then, these business operations can be determined most by above-mentioned steps
It is possible to affiliated class of service.
Below above-mentioned account is received in setting time section with a concrete application example and multiple carry industry
In the case of the business information of business remark information, the process that business operation classification is identified is illustrated,
Analysis.
Under the scene of this example, it is assumed that certain recipient's account have received 60 business behaviour in one month
Make, wherein, have in the business information of 20 business operations and carry business remark information.So, for
For service system, following step as shown in Figure 2 will be specifically performed：
S201：In the business keywords database for pre-building, the corresponding each standard of each class of service is selected respectively
Keyword set.
In this example, each class of service in business keywords database specifically can be with as shown in table 1 below.
Table 1
Wherein, it is merely exemplary in table 1 to show different classs of service, in practical application scene, can be with
According to the needs of practical application, different classs of service are defined, the restriction to the application is not constituted here.
As shown in table 1 all kinds of classs of service, correspond to respectively respective standard key set of words (just
It has been observed that all including multiple kernel keywords, Assisted Keyword in each standard key set of words and picking
Except keyword).
In this example, for being said as a example by " vehicle transaction " and " special train service " two classs of service
It is bright：
Where it is assumed that in the standard key set of words of " vehicle transaction ", kernel keyword includes：All kinds of vapour
Car brand name (not listing one by one here), honor enjoy type, comfort type, price etc., Assisted Keyword bag
Include：Lock core, key fits, spray painting color etc..
In assuming the standard key set of words of " special train service ", kernel keyword includes：All kinds of automobile brands
Title, comfort type, name driver etc., Assisted Keyword includes：Subscription time, reservation place, order
Etc..
S202：For each business remark information, text formatting process is carried out, obtain remark information to be identified.
The text envelope being made up of characters such as symbol, word, numeral, punctuates may be included in business remark information
Breath, also, the form of these text messages is (such as：Capital and small letter) it is different, therefore in this step will be right
Business remark information carries out text formatting process, and the business remark information after text formatting process will be formed
Unified text formatting.
S203：According to selected each standard key set of words, remark information to be identified is counted respectively in each standard
Hit-count in keyword set.
By taking " vehicle transaction " in foregoing teachings and " special train service " two classs of service as an example.First,
For the standard key set of words of " vehicle transaction ", it is assumed that in a certain remark information to be identified, include certain
The title of one automobile brand, that is to say, that the remark information to be identified has hit the standard of " vehicle transaction "
Kernel keyword in keyword set, therefore, the hit-count+1 of the kernel keyword.In the same manner, according to
Remark information to be identified, under counting " vehicle transaction " this class of service, the hit time of kernel keyword
The hit-count of number and Assisted Keyword.
Analogously, remark information to be identified will also be counted under " special train service " this class of service,
The hit-count of kernel keyword and the hit-count (here no longer citing is described in detail) of Assisted Keyword.
Explanation is needed exist for, in the standard key set of words of certain class of service, if kernel keyword
Hit-count more than setting core hit threshold, then, remark information to be identified is in this standard key
Total hit-count in set of words=kernel keyword hit-count+Assisted Keyword hit-count；
If conversely, the hit-count of kernel keyword is not more than the core hit threshold for setting, then, wait to know
Total hit-count=kernel keyword hit-count of the other remark information in this standard key set of words.
The core hit threshold of above-mentioned setting, reflects remark information to be identified and integrally falls into standard key word set
The distribution trend of conjunction, the concrete value of the core hit threshold of setting will be set according to the needs of practical application
It is fixed, the restriction to the application is not constituted here.
It is assumed here that 20 business remark informations have passed through after text-processing in this example, at " vehicle transaction "
Hit-count under this class of service is 10, and the hit under " special train service " this class of service time
Number is 3.
S204：Under determining each class of service, the hit-count for counting is believed with business remarks are carried
The ratio of the business information quantity of breath.
In this example, the quantity for carrying the business information of business remark information is 20, at " vehicle transaction "
Under " special train service " two classs of service, ratio is respectively 10/20 and 3/20.The ratio can also
Reflect business remark information under each class of service, hit the distribution of possibility.
S205：With reference to each hit-count and the ratio that count, recognize that each business remark information is common
Affiliated class of service.
In this example, for each hit-count for counting and the ratio, it is possible to use following rule：
Under a certain class of service, if hit-count is equal to the first hit threshold greatly and the ratio is equal to greatly the
One proportion threshold value, then, it is believed that the class of service is exactly the common affiliated business of business remark information
Classification；
Or, under a certain class of service, if hit-count is equal to greatly the second hit threshold and the ratio
Value is equal to greatly the second proportion threshold value, then, it is also possible to think, the class of service is exactly that business remark information is total to
With affiliated class of service.Wherein, these four threshold values can be carried out according to the operation of the history service of actual count
Obtain after measuring and calculating, the measuring and calculating to threshold value does not constitute the restriction to the application.
It is assumed here that the first hit threshold be the 15, first proportion threshold value be the 0.1, second hit threshold be 5,
Second proportion threshold value 0.2.With this understanding, for 20 business remark informations in this example, in " automobile
Hit-count 10 of the transaction " under this class of service is 5 and ratio 10/20=0.5 more than the second hit threshold
More than the second proportion threshold value 0.2, it is thus possible to think, the recipient's account in this example is in one month
Type of service belonging to 60 times received business operations is " vehicle transaction ".
It is more than that the business operation is identified according to the business remark information included in business information
The explanation of rule.
2nd, the class of service of both sides' account of the business operation is carried out according to recognition rule to the business
The situation that operation is identified
In this case, the class of service belonging to both sides' account will be determined first.As the embodiment of the present application
In a kind of mode, can with represented by the way of probability both sides' account may belonging to class of service,
Correspondingly, this probable value also can just reflect the business belonging to the business operation carried out between both sides' account
The possibility of classification, specifically, in the embodiment of the present application, when the default recognition rule includes：Root
When being identified to the business operation according to the class of service of the both sides' account for carrying out the business operation, according to
The recognition rule for pre-setting and the business information for getting, recognize the industry belonging to the business operation
Business classification, specifically includes：According to the business information, the corresponding reception to be identified of the business operation is determined
Square account and sender's account to be identified, determine recipient's account to be identified and sender's account to be identified
Family, respectively the probability under each class of service, according to the probability, determines recipient's account to be identified
Class of service belonging to family and sender's account to be identified are common, by recipient's account to be identified and waits to know
Class of service belonging to other sender's account is common, the class of service being identified as belonging to the business operation.
For the ease of clearly illustrating, now illustrate by taking identification " frying letter operation " as an example, analyze.
In this example, the class of service belonging to both sides' account can not be accurately determined whether " to fry letter behaviour
Make ".
First, for recipient's account, the general of " frying letter operation " is belonged to obtain its class of service
Rate, will select other recipient's accounts for having been identified as " frying letter operation ".Simultaneously, it is contemplated that practical application
In, different accounts often all carried out in history business operation, will generate corresponding historical status letter
Breath, such as：Conventional place of acceptance place province of online shopping number of times, account etc. in nearest one month.Carry out
Between the account of the other business operation of same service class, its historical status information there is certain general character.Institute
In this example, for recipient's account to be identified following operation is performed：Obtain described to be identified
Each first historical status information of recipient's account, and all recipients for having been identified as the class of service
Each second historical status information of account, believes according to the first historical status information and the second historical status
Breath, determines the probability of the class of service belonging to recipient's account to be identified.
Specifically, recipient's account to be identified can be predicted using Logic Regression Models in this example
Whether class of service belongs to " frying letter operation ".Wherein, the first historical status information and the second historical status are believed
Breath, Ke Yishi：
1. the shopping stroke count of a nearest month account；
2. a nearest month account net income (amount of money of the amount of money-shopping that gathering is obtained)；
3. total income of the nearest month account as beneficiary；
4. the classification number that shopping is covered；
5. nearest month account total fund flowing water；
6. consumption divides group (according to point group that spending amount and the frequency of account are carried out)；
7. nearest month how many account paid money to the account；
8. the stroke count paid the bill to the account for nearest month；
9. nearest three months classes in kind consume stroke count；
10. the last logon account Days from present time；
11. users are conventional to harvest address place province；
12. paid money in nearest one month to how many accounts.
In Logic Regression Models, 12 kinds of above-mentioned historical status information can be used as the variable of model, Jing
After crossing the computing of model, it is possible to which the class of service for obtaining recipient's account to be identified is " frying letter operation "
Probability.Certainly, the use of Logic Regression Models is not made in the application and specifically limits.Meanwhile, adopt and patrol
It is also only a kind of implementation in the embodiment of the present application to collect regression model, is not constituted to the application's here
Limit.
For sender's account to be identified, for sender's account to be identified following operation is performed：
It is determined that carrying out the other business operation of same service class with sender's account to be identified in history
All historical reception side's accounts, determine that each historical reception side's account belongs to the probability of the class of service, and carry out
Average computation process, by the average probability generated after process the affiliated institute of sender's account to be identified is defined as
State the probability of class of service.
Connect that is, will determine and carried out all of business operation with sender's account to be identified in history
Debit's account, and can determine the mode of probability to determine these according to above-mentioned recipient's account to be identified
Historical reception side's account belongs to the probability of " frying letter operation ", and carries out after average computation, by mathematical expectation of probability
Belong to the probability of " frying letter operation " as sender's account to be identified.
Based on the above, if the probability sum that both sides' account belongs to " frying letter operation " is more than a certain setting
Value is (such as：100%), then, also with regard to it is believed that the business of the business operation carried out between both sides' account
Type is " frying letter operation ".
In addition to the main RM of both the above, the recognition rule in the application can also be included according to account
The positional information at family is identified, and is identified according to the classification of business operation object.
Specifically, in practical application scene, substantial amounts of solid shop is there is, these solid shops are past
Toward also the account of itself can be registered in corresponding commodity website, in this case, when consumer-user exists
Have purchased in solid shop after commodity, consumer-user can use account of the account of itself to the solid shop
Delivery operation is initiated at family, so as to complete whole purchasing process.Obviously, in such a scenario, payment behaviour is carried out
The position of both sides' account of work is closer to, also, recipient's account (the corresponding account of solid shop)
Position is often fixed, then, by collecting the positional information between recipient's account and sender's account,
Can determine that whether recipient's account is the corresponding account of solid shop, if so, then may further determine that
The type of service for going out all delivery operations received by recipient's account is " paying under line ".
And for the rule being identified according to the classification of business operation object, with on-line purchase commodity
As a example by (or service), recipient's account can provide all kinds of online commodity, and each commodity is respectively provided with accordingly
Category information, then, after user accesses to your account sends delivery operation for a certain commodity, also just can be with
According to the category information of the commodity, the class of service belonging to this delivery operation is determined.
By the recognition rule different above shown in the application, can efficiently and accurately recognize and enter an item of expenditure in the accounts
The class of service belonging to business operation carried out between family, can either identify all kinds of violation operations, also may be used
To realize the management and control that the regular traffic to different business classification is operated.
Furthermore, it is necessary to explanation, in the service system using C2C business service frameworks, can be arranged
A kind of service account dedicated for providing commodity or service for other users is (such as：The seller in commodity website
Account), other users can send business operation (such as by the account of itself to service account：Pay behaviour
Make), with the commodity needed for obtaining or service (such as：By commodity needed for seller account purchase).For to clothes
For the business operation that business account sends, the business service that service provider can be provided according to the service account
Type, accurately determine the type of the business operation sent to the service account, for example：Assume certain
One service account is provided and sells commodity, then, service provider can send out other accounts to the service account
The type of the delivery operation for going out is defined as " purchase operation ".However, the unregistered common account for service account
Corresponding business operation can also be carried out between family (that is, non-serving account), due to non-serving account simultaneously
Fixed business service is not provided, therefore service provider also cannot be accurately determined out to the non-serving
The type of the business operation that account sends.
So, in the embodiment of the present application, service provider can be monitored for all accounts therein,
Such as：The quantity of the business operation that all accounts are received in month is counted, if counting non-serving account
One month in the quantity of business operation that receives of all accounts more than setting threshold value (such as：50), that
, it is (unmarked for abnormal account that these non-serving accounts will be labeled as abnormal account by service provider
It is normal account).So, using the method in the application, for normal account, it is possible to use above-mentioned
The first recognition rule and the recognition rule based on account location information are recognizing the industry belonging to business operation
Service type；For abnormal account, it is possible to use above-mentioned the first and second recognition rule are combined,
To recognize the type of service belonging to business operation.Here the restriction to the application is not constituted.
So far, in the embodiment of the present application, using above-mentioned listed recognition rule, can be between account
Business operation, be likely to be obtained multigroup recognition result：
1st, for the recognition result of business keyword in service operation for single time；
2nd, the business of the multiple business operation that same recipient's account is received within the time period of setting is crucial
The recognition result of word；
3rd, for a business operation, certain class of service is general belonging to recipient's account and sender's account
Rate；
4th, according to the recognition result of the positional information of both sides' account of business operation；
5th, according to recognition result of operation object classification of business operation etc..
In these recognition results, 1～3 recognition result will mainly determine the class of service belonging to business operation,
4～5 recognition result will be on the basis of front 3 kinds of recognition results, there is provided booster action.1～3 these three
In recognition result, with different judgement priority：1>2>3.Certainly, this is not constituted to the application's
Limit.
The recognition methods of the affiliated class of service of business operation for providing for the embodiment of the present application above, based on same
Thinking, the embodiment of the present application also provides a kind of identifying device of the affiliated class of service of business operation, such as Fig. 3
It is shown, including：
Monitoring modular U301, for monitoring the business operation of account reception.
Acquisition module U302, for after monitoring that the account receives the business operation, obtaining institute
State the business information of business operation.
Identification module U303, for according to the recognition rule for pre-setting and the business for getting letter
Breath, recognizes the class of service belonging to the business operation；Wherein, the recognition rule for pre-setting includes：
Business remark information according to including in business information is identified, and/or according to carrying out to the business operation
The class of service of both sides' account of the business operation is identified to the business operation.
By the said apparatus of the application, when business operation is carried out between different accounts, this device can be obtained
The business information of business operation is taken, if including the business related to the business operation in the business information for getting
Remark information, then, the identification module 303 in this device can according to it is default, for business remarks letter
The recognition rule of breath, is identified to business remark information, to determine the class of service of business operation；This
Outward, the identification module 303 in this device can be with according to both sides' account default, for business operation
The recognition rule of class of service, recognizes the class of service of business operation.In unlike prior art, business
The class of service of both sides' account of remark information and business operation, can clearly reflect the mesh of business operation
, therefore, using the RM in the application, can effectively be lifted to the service class belonging to business operation
The accuracy not being identified.
Specifically, when business remark information is included in the business information, the identification module U303,
Specifically include：Extracting sub-module U3031, text identification submodule U3032 and class of service identification submodule
Block U3033；When business remark information is included in the business information, extracting sub-module U3031,
For extracting the business remark information from the business information；
The text identification submodule U3032, for carrying out at text identification to the business remark information
Reason, determines the business keyword included in the business remark information；
The class of service recognizes submodule U3033, for according to the business keyword determined, knowing
Class of service belonging to not described business operation.
In a kind of embodiment of the application, the class of service recognizes submodule U3033, specifically includes：
Standard keyword determination sub-module, the first determination sub-module, the second determination sub-module, class of service submodule.
When the account receive in setting time section it is single carry business remark information business information when, institute
Standard keyword determination sub-module is stated, it is crucial in the business for pre-building for according to the business keyword
In dictionary, it is determined that the standard keyword matched with the business keyword.Wherein, the standard keyword
In being the business keywords database, the predefined standardized business of each class of service is respectively directed to crucial
Word.
First determination sub-module, for determining standard keyword institute in the business keywords database
The class of service of category.
Second determination sub-module, for by the class of service belonging to the standard keyword, being defined as institute
State the class of service belonging to business keyword.
The class of service submodule, for the class of service according to belonging to the business keyword, determines institute
State the class of service belonging to business operation.
In a kind of embodiment of the application, the class of service recognizes submodule U3033, specifically includes：
Standard keyword determination sub-module, statistic submodule, ratio determination sub-module, the first class of service submodule,
Second class of service submodule.
When the account receives multiple business information for carrying business remark information in setting time section
When, the standard keyword determination sub-module, in the business keywords database for pre-building, selecting respectively
Determine the corresponding each standard key set of words of each class of service.
The statistic submodule, for according to selected described each standard key set of words, counting all business
Business keyword in remark information hit-count respectively in each standard key set of words.
The ratio determination sub-module, for for each class of service in the business keywords database, really
Surely the hit-count for counting carries business remark information with multiple received by the account
The ratio of the quantity of business information.
The first class of service submodule, each hit-count counted for basis and the ratio,
Recognize the common affiliated class of service of each business keyword.
The second class of service submodule, for the service class according to belonging to each business keyword is common
Not, the common affiliated class of service of each business operation is determined.
In a kind of embodiment of the application, the identification module U303 is specifically included：Account determines son
Module, determine the probability submodule, the first class of service submodule, the second class of service submodule.
When the default recognition rule includes：According to the service class of the both sides' account for carrying out the business operation
It is other when being identified to the business operation, the account determination sub-module, for according to the business information,
Determine the corresponding recipient's account to be identified of the business operation and sender's account to be identified.
The determine the probability submodule, for determining recipient's account to be identified and sender's account to be identified
Family probability respectively under each class of service.
The first class of service submodule, for according to the probability, determining recipient's account to be identified
Family and the common affiliated class of service of sender's account to be identified.
The second class of service submodule, for by recipient's account to be identified and sender to be identified
Class of service belonging to account is common, the class of service being identified as belonging to the business operation.
In a kind of embodiment of the application, the identification module U303 is specifically included：Recipient's account
Process submodule and sender's account processes submodule.
Recipient's account processes submodule to be used under arbitrary class of service, for the reception to be identified
Square account performs following operation：
Each first historical status information of recipient's account to be identified is obtained, and has been identified as the industry
Each second historical status information of all recipient's accounts of business classification, according to the first historical status information
With the second historical status information, the probability of the class of service belonging to recipient's account to be identified is determined；
Described sender account processes submodule, under arbitrary class of service, for described to be identified
The side's of sending account performs following operation：
It is determined that carrying out the other business operation of same service class with sender's account to be identified in history
All historical reception side's accounts, determine that each historical reception side's account belongs to the probability of the class of service, and carry out
Average computation process, by the average probability generated after process the affiliated institute of sender's account to be identified is defined as
State the probability of class of service.
In a typical configuration, computing device includes one or more processors (CPU), input/defeated
Outgoing interface, network interface and internal memory.
Internal memory potentially includes the volatile memory in computer-readable medium, random access memory
And/or the form, such as read-only storage (ROM) or flash memory (flash RAM) such as Nonvolatile memory (RAM).
Internal memory is the example of computer-readable medium.
Computer-readable medium includes that permanent and non-permanent, removable and non-removable media can be by appointing
What method or technique is realizing information Store.Information can be computer-readable instruction, data structure, program
Module or other data.The example of the storage medium of computer includes, but are not limited to phase transition internal memory
(PRAM), static RAM (SRAM), dynamic random access memory (DRAM), its
The random access memory (RAM) of his type, read-only storage (ROM), electrically erasable are read-only
Memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only storage
(CD-ROM), digital versatile disc (DVD) or other optical storages, magnetic cassette tape, tape magnetic
Disk storage or other magnetic storage apparatus or any other non-transmission medium, can be used for storage can be calculated
The information that equipment is accessed.Define according to herein, computer-readable medium does not include temporary computer-readable matchmaker
The data-signal and carrier wave of body (transitory media), such as modulation.
Also, it should be noted that term " including ", "comprising" or its any other variant are intended to non-row
His property is included, so that a series of process, method, commodity or equipment including key elements not only includes
Those key elements, but also including other key elements being not expressly set out, or also include for this process,
The intrinsic key element of method, commodity or equipment.In the absence of more restrictions, by sentence " including
One ... " key element that limits, it is not excluded that including the process of the key element, method, commodity or setting
Also there is other identical element in standby.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer journey
Sequence product.Therefore, the application can using complete hardware embodiment, complete software embodiment or with reference to software and
The form of the embodiment of hardware aspect.And, the application can be adopted and wherein include calculating at one or more
Machine usable program code computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM,
Optical memory etc.) on implement computer program form.
Embodiments herein is the foregoing is only, the application is not limited to.For this area skill
For art personnel, the application can have various modifications and variations.All institutes within spirit herein and principle
Any modification, equivalent substitution and improvements of work etc., within the scope of should be included in claims hereof.
Claims (12)
1. the recognition methods of the affiliated class of service of a kind of business operation, it is characterised in that methods described includes：
The business operation that monitoring account is received；
After monitoring that the account receives the business operation, the business letter of the business operation is obtained
Breath；
According to the recognition rule for pre-setting and the business information that gets, the business operation is recognized
Affiliated class of service；Wherein, the recognition rule for pre-setting includes：Include according in business information
Business remark information the business operation is identified and/or according to the both sides for carrying out the business operation
The class of service of account is identified to the business operation.
2. the method for claim 1, it is characterised in that when including business in the business information
During remark information, according to the recognition rule for pre-setting and the business information that gets, identification is described
Class of service belonging to business operation, specifically includes：
The business remark information is extracted from the business information；
Text identification process is carried out to the business remark information, determines what is included in the business remark information
Business keyword；
According to the business keyword determined, the class of service belonging to the business operation is recognized.
3. method as claimed in claim 2, it is characterised in that when the account is in setting time section
Receive it is single carry business remark information business information when, it is crucial according to the business determined
Word, recognizes the class of service belonging to the business operation, specifically includes：
According to the business keyword, in the business keywords database for pre-building, it is determined that closing with the business
The standard keyword that keyword matches；Wherein, the standard keyword is in the business keywords database, to divide
Safety pin standardized business keyword predefined to each class of service；
Determine the affiliated class of service in the business keywords database of the standard keyword；
By the class of service belonging to the standard keyword, the service class being defined as belonging to the business keyword
Not；
Class of service according to belonging to the business keyword, determines the service class belonging to the business operation
Not.
4. method as claimed in claim 2, it is characterised in that when the account is in setting time section
Receive it is multiple carry business remark information business information when, it is crucial according to the business determined
Word, recognizes the class of service of the business operation, specifically includes：
In the business keywords database for pre-building, the corresponding each standard keyword of each class of service is selected respectively
Set；
According to selected described each standard key set of words, the business counted in all business remark informations is crucial
Word hit-count respectively in each standard key set of words；
For each class of service in the business keywords database, it is determined that the hit-count for counting with
The ratio of the quantity of the multiple business information for carrying business remark information received by the account；
According to each hit-count and the ratio that count, the common affiliated industry of each business keyword is recognized
Business classification；
Class of service according to belonging to each business keyword is common, determines the common institute of each business operation
The class of service of category.
5. the method for claim 1, it is characterised in that when the default recognition rule includes：
When being identified to the business operation according to the class of service of the both sides' account for carrying out the business operation, root
According to the recognition rule for pre-setting and the business information that gets, recognize belonging to the business operation
Class of service, specifically includes：
According to the business information, the corresponding recipient's account to be identified of the business operation and to be identified is determined
Sender's account；
Determine recipient's account to be identified and sender's account to be identified respectively under each class of service
Probability；
According to the probability, determine that recipient's account to be identified and sender's account to be identified are jointly affiliated
Class of service；
By recipient's account to be identified and the common affiliated class of service of sender's account to be identified, identification
Class of service belonging to the business operation.
6. method as claimed in claim 5, it is characterised in that determine recipient's account to be identified
With sender's account to be identified probability respectively under each class of service, specifically include：
Under arbitrary class of service, for recipient's account to be identified following operation is performed：
Each first historical status information of recipient's account to be identified is obtained, and has been identified as the industry
Each second historical status information of all recipient's accounts of business classification；
According to the first historical status information and the second historical status information, the recipient to be identified is determined
The probability of the class of service belonging to account；
Following operation is performed for sender's account to be identified：
It is determined that carrying out the other business operation of same service class with sender's account to be identified in history
All historical reception side's accounts；
Determine that each historical reception side's account belongs to the probability of the class of service, and carry out average computation process, will
The average probability generated after process is defined as the general of the class of service belonging to sender's account to be identified
Rate.
7. the identifying device of the affiliated class of service of a kind of business operation, it is characterised in that described device includes：
Monitoring modular, for monitoring the business operation of account reception；
Acquisition module, for after monitoring that the account receives the business operation, obtaining the business
The business information of operation；
Identification module, for according to the recognition rule for pre-setting and the business information for getting, knowing
Class of service belonging to not described business operation；Wherein, the recognition rule for pre-setting includes：According to
The business remark information included in business information is identified, and/or according to carrying out to the business operation
The class of service of both sides' account of business operation is identified to the business operation.
8. device as claimed in claim 7, it is characterised in that the identification module, specifically includes：
Extracting sub-module, text identification submodule and class of service identification submodule；When bag in the business information
During remark information containing business, the extracting sub-module is standby for extracting the business from the business information
Note information；
The text identification submodule, for carrying out text identification process to the business remark information, it is determined that
The business keyword included in the business remark information；
The class of service recognizes submodule, for according to the business keyword determined, identification to be described
Class of service belonging to business operation.
9. device as claimed in claim 8, it is characterised in that the class of service recognizes submodule,
Specifically include：Standard keyword determination sub-module, the first determination sub-module, the second determination sub-module, business
Classification submodule；
When the account receives the single business information for carrying business remark information in setting time section
When, the standard keyword determination sub-module, for according to the business keyword, in the industry for pre-building
In business keywords database, it is determined that the standard keyword matched with the business keyword；Wherein, the standard
Keyword is in the business keywords database, to be respectively directed to the predefined standardized industry of each class of service
Business keyword；
First determination sub-module, for determining standard keyword institute in the business keywords database
The class of service of category；
Second determination sub-module, for by the class of service belonging to the standard keyword, being defined as institute
State the class of service belonging to business keyword；
The class of service submodule, for the class of service according to belonging to the business keyword, determines institute
State the class of service belonging to business operation.
10. device as claimed in claim 8, it is characterised in that the class of service recognizes submodule,
Specifically include：Standard keyword determination sub-module, statistic submodule, ratio determination sub-module, the first business
Classification submodule, the second class of service submodule；
When the account receives multiple business information for carrying business remark information in setting time section
When, the standard keyword determination sub-module, in the business keywords database for pre-building, selecting respectively
Determine the corresponding each standard key set of words of each class of service；
The statistic submodule, for according to selected described each standard key set of words, counting all business
Business keyword in remark information hit-count respectively in each standard key set of words；
The ratio determination sub-module, for for each class of service in the business keywords database, really
Surely the hit-count for counting carries business remark information with multiple received by the account
The ratio of the quantity of business information；
The first class of service submodule, each hit-count counted for basis and the ratio,
Recognize the common affiliated class of service of each business keyword；
The second class of service submodule, for the service class according to belonging to each business keyword is common
Not, the common affiliated class of service of each business operation is determined.
11. devices as claimed in claim 7, it is characterised in that the identification module, specifically include：
Account determination sub-module, determine the probability submodule, the first class of service submodule, the second class of service submodule
Block；
When the default recognition rule includes：According to the service class of the both sides' account for carrying out the business operation
It is other when being identified to the business operation, the account determination sub-module, for according to the business information,
Determine the corresponding recipient's account to be identified of the business operation and sender's account to be identified；
The determine the probability submodule, for determining recipient's account to be identified and sender's account to be identified
Family probability respectively under each class of service；
The first class of service submodule, for according to the probability, determining recipient's account to be identified
Family and the common affiliated class of service of sender's account to be identified；
The second class of service submodule, for by recipient's account to be identified and sender to be identified
Class of service belonging to account is common, the class of service being identified as belonging to the business operation.
12. devices as claimed in claim 11, it is characterised in that the identification module, specifically include：
Recipient's account processes submodule and sender's account processes submodule；
Recipient's account processes submodule to be used under arbitrary class of service, for the reception to be identified
Square account performs following operation：
Each first historical status information of recipient's account to be identified is obtained, and has been identified as the industry
Each second historical status information of all recipient's accounts of business classification, according to the first historical status information
With the second historical status information, the probability of the class of service belonging to recipient's account to be identified is determined；
Described sender account processes submodule, under arbitrary class of service, for described to be identified
The side's of sending account performs following operation：
It is determined that carrying out the other business operation of same service class with sender's account to be identified in history
All historical reception side's accounts, determine that each historical reception side's account belongs to the probability of the class of service, and carry out
Average computation process, by the average probability generated after process the affiliated institute of sender's account to be identified is defined as
State the probability of class of service.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510708764.0A CN106651382A (en) | 2015-10-27 | 2015-10-27 | Method and device for recognizing business type of business operation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510708764.0A CN106651382A (en) | 2015-10-27 | 2015-10-27 | Method and device for recognizing business type of business operation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106651382A true CN106651382A (en) | 2017-05-10 |
Family
ID=58815622
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510708764.0A Pending CN106651382A (en) | 2015-10-27 | 2015-10-27 | Method and device for recognizing business type of business operation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106651382A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019227591A1 (en) * | 2018-05-28 | 2019-12-05 | 平安科技（深圳）有限公司 | Arbitration processing method and apparatus for underwriting institutions, computer device and storage medium |
| CN110827038A (en) * | 2019-10-11 | 2020-02-21 | 支付宝(杭州)信息技术有限公司 | Account authority management method and device |
| CN111177520A (en) * | 2019-12-31 | 2020-05-19 | 东软集团股份有限公司 | Service interaction processing method and device, storage medium and electronic equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1744573A (en) * | 2005-08-30 | 2006-03-08 | 杭州华为三康技术有限公司 | Business flow idnetifying method |
| US20130144715A1 (en) * | 2011-12-02 | 2013-06-06 | Art Kranzley | Unified system, methods, and computer program products enabling the processing of one or more events associated with a transaction executing the purchase and/or use of one or more products |
| CN103516610A (en) * | 2012-06-18 | 2014-01-15 | 华为技术有限公司 | Service processing method, device and system |
| CN103678447A (en) * | 2012-09-04 | 2014-03-26 | Sap股份公司 | Multivariate transaction classification |
| CN103886498A (en) * | 2013-09-29 | 2014-06-25 | 上海本家空调系统有限公司 | Method and system for generating transaction data in online transaction |
| CN104408635A (en) * | 2014-12-01 | 2015-03-11 | 银联智惠信息服务（上海）有限公司 | Method and device for recognizing class information of commercial tenant |
-
2015
- 2015-10-27 CN CN201510708764.0A patent/CN106651382A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1744573A (en) * | 2005-08-30 | 2006-03-08 | 杭州华为三康技术有限公司 | Business flow idnetifying method |
| US20130144715A1 (en) * | 2011-12-02 | 2013-06-06 | Art Kranzley | Unified system, methods, and computer program products enabling the processing of one or more events associated with a transaction executing the purchase and/or use of one or more products |
| CN103516610A (en) * | 2012-06-18 | 2014-01-15 | 华为技术有限公司 | Service processing method, device and system |
| CN103678447A (en) * | 2012-09-04 | 2014-03-26 | Sap股份公司 | Multivariate transaction classification |
| CN103886498A (en) * | 2013-09-29 | 2014-06-25 | 上海本家空调系统有限公司 | Method and system for generating transaction data in online transaction |
| CN104408635A (en) * | 2014-12-01 | 2015-03-11 | 银联智惠信息服务（上海）有限公司 | Method and device for recognizing class information of commercial tenant |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019227591A1 (en) * | 2018-05-28 | 2019-12-05 | 平安科技（深圳）有限公司 | Arbitration processing method and apparatus for underwriting institutions, computer device and storage medium |
| CN110827038A (en) * | 2019-10-11 | 2020-02-21 | 支付宝(杭州)信息技术有限公司 | Account authority management method and device |
| CN111177520A (en) * | 2019-12-31 | 2020-05-19 | 东软集团股份有限公司 | Service interaction processing method and device, storage medium and electronic equipment |
| CN111177520B (en) * | 2019-12-31 | 2023-12-15 | 东软集团股份有限公司 | Service interaction processing method and device, storage medium and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102467726B (en) | A kind of data processing method based on online trade platform and device | |
| US8799106B2 (en) | System and method for assisting online product research by consumers | |
| WO2018001195A1 (en) | Method and device for controlling data risk | |
| CN109409856A (en) | Reimbursement information processing method and device | |
| CN104866484A (en) | Data processing method and device | |
| CN114169936A (en) | Method and device for providing preference information | |
| CN107688984A (en) | Product information method for pushing, device, storage medium and computer equipment | |
| JP2020520609A (en) | Electronic message filtering | |
| CN103946883A (en) | Information processing device, information processing method, information processing program, and recording medium upon which information processing program has been recorded | |
| US20180308047A1 (en) | Systems and methods for performing automatic exchanges or returns | |
| CN106651382A (en) | Method and device for recognizing business type of business operation | |
| CN109559203A (en) | A kind of store purchase system | |
| CN106560853A (en) | Business processing method and device | |
| CN106529953A (en) | Method and device for carrying out risk identification on business attributes | |
| US20240119538A1 (en) | Systems and methods for transaction tracing | |
| KR20110093398A (en) | Device and method for managing mobile terminated service | |
| CN107563884A (en) | A kind of method for reducing loss of assets rate | |
| CN110321423A (en) | A kind of Risk Identification Method and server of text data | |
| CN105809470A (en) | Consumption cost returning method, apparatus and system based on e-commerce platform | |
| KR100829356B1 (en) | Marketplace type shopping portal system | |
| CN110210868A (en) | The processing method and electronic equipment of numerical value transfer data | |
| CN106503977A (en) | The processing method of data, system and device | |
| CN113592502A (en) | Circular consumption method, system, computer equipment and storage medium | |
| CN108122150A (en) | Retail shopping center's software of a multiple terminals | |
| CN113762879A (en) | Method, device and system for setting postage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| REG | Reference to a national code |
Ref country code: HK Ref legal event code: DE Ref document number: 1237499 Country of ref document: HK |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200921 Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman, British Islands Applicant after: Innovative advanced technology Co.,Ltd. Address before: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman, British Islands Applicant before: Advanced innovation technology Co.,Ltd. Effective date of registration: 20200921 Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman, British Islands Applicant after: Advanced innovation technology Co.,Ltd. Address before: A four-storey 847 mailbox in Grand Cayman Capital Building, British Cayman Islands Applicant before: Alibaba Group Holding Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170510 |