CN108536874A - A kind of method and platform for expanding customer traffic - Google Patents
A kind of method and platform for expanding customer traffic Download PDFInfo
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Abstract
The present invention relates to a kind of methods and platform for expanding customer traffic, including data acquisition module, and for obtaining consumption data, the consumption data includes consumption information and node data；Data analysis module, authentication module.The present invention has as follows a little：1, node all on platform is all unique, provides unique ID, and will not be capped because of rejecting；2, all nodes (removing administrator's account) must have unique sponsor's node on platform, but the relative people's node that is described can have several, and therefore, inherent logical order understands；3, offer bonus data and the mode of shareholder's reward carry out the expansion of platform flow so that can continue to push the increase of flow in integral platform.
Description
Technical field：
The present invention relates to a kind of methods and platform for expanding customer traffic.
Background technology：
Due to the complexity of interpersonal relationships, and there may be different contacts between each independent individual.Prevailing for a time
Six Degrees theory thinks：The people being spaced between one people and any one stranger does not exceed six.The theory is emphasized
To be not contact between people must just will produce contact by six levels, but it is not acquainted with each other in order to express any two
People between, by certain contact method, inevitable relationship can be generated, which is otherwise known as Small-World Phenomena.From
Generally speaking, as technology develops, the cost contacted between people gradually reduces, and the reticular structure that interpersonal relationships is formed is more complicated
And disorder.Client (or perhaps customer) refer to money or certain valuable article come exchange for receive property, service, product or
The natural person of certain intention or tissue are the buyers of commerce services or product, they may be final consumer, agent
Or the go-between in supply chain.Interpersonal relationship is a lot of in upper application at all levels as the shortcut for promoting customer traffic.But
Due to the complexity and mismatch of the one-way and interpersonal relationship of sale relationship, cause in terms of promoting customer traffic in early period
It may play a role, may problematic be led to due to the mismatch of interpersonal relationships complexity in stage.The prior art
To this, there is no the plans of solution.
Invention content：
The purpose of the present invention provides a kind of network for being conducive to expand aiming at disadvantages mentioned above of the existing technology,
Solve problems of the prior art.
In a first aspect, a kind of platform for expanding customer traffic, including：
Data acquisition module, for obtaining consumption data, the consumption data includes consumption information and node data；
Data analysis module, for obtaining consumption information and/or node data, the node data from data acquisition module
Including node, and sponsor's information node for being correspondingly arranged with node, and with what node was correspondingly arranged several it is described people
Information node, the node are consumer and/or businessman；The consumption information includes the consumer for consume movable both sides
And businessman；
Authentication module, the reward carried out for consumer and/or the corresponding sponsor of consumer for obtaining the businessman
Data.
Node is divided into consumer node and businessman's node according to the difference of the situation of consumption activity both sides, since consumption is lived
Dynamic diversity, a node can be consumer node and businessman's node simultaneously.When as businessman's node, due to opening up for flow
Wide direct benefited party is businessman, therefore businessman's node needs, according to a certain standard, such as sales volume, to take out according to a certain percentage
The feedback that a part of expense passes through rebating (i.e. bonus data) and (i.e. shareholder's module) progress platform of sharing out bonus.Authentication module is deposited
In mainly monitoring consumption activity and whether bonus data corresponding with consumption activity is normally carried out and whether businessman's node
Following abnormal operation is carried out, such as：Rewarding radix, either ratio presence is serious improper (excessive or very few), and settlement process is deposited
In problem, Customer Complaint etc..
Preferably, the consumption information further includes spending amount.Spending amount is that platform carries out as most directly feeding back
The basic data of monitoring.
Preferably, the bonus data be reward whether and/or amount of money award and/or reward ratio.Due to bonus data
It is the increased motive power of platform flow, therefore some cores of bonus data are with reference to also extremely important.
Preferably, further include node processing module, the bonus data for obtaining authentication module simultaneously reaches bonus data not
Node to verification threshold is suspended operation or delete processing.It is unsatisfactory for correlation mainly for the treatment of the node of business types
It is required that.The tool of ratio whether verification threshold can be the concrete numerical value of reward ratio, the concrete numerical value of reward number and reward
Body numerical value.
Preferably, further include shareholder's module, shareholder's module is used to obtain the nodes of business types, and record with it is described
The node of business types occurs to consume the node of movable consumer, by the node of the node of the consumer and the consumer
Shareholder's data of node of the corresponding sponsor's node as the business types.
Preferably, shareholder's module is additionally operable to the overall consumption amount of money of the corresponding node of accumulation shareholder's data；The consumption
For the overall consumption amount of money of the node of person more than after shareholder's threshold value, the node of the corresponding business types of shareholder's data is the node of consumer
Shareholder's reward is provided.The main purpose of shareholder's module is to accumulate some big motive forces, if only simple reward, only pair
There is certain impetus in general personal or small unit, for big entity, it is difficult to their enthusiasm is pushed,
In the case of shareholder's module, it can promote some that can bring the addition of the entity of substantive flow to promote platform flow to send out
Exhibition.
Preferably, the node of the corresponding business types of shareholder's data provides shareholder's reward for the node of consumer.Shareholder encourages
The calculating basis that can be used as bonus data is encouraged, but calculating ratio etc. can protrude the difference with bonus data, provide
Big promotion.
Preferably, further include extemporaneous association module, the extemporaneous association module is used to record the node for generating consumption data,
And the associated sponsor's information node of node for generating consumption data is extracted, and be with the node for generating consumption data
Point, inquiry and described corresponding other nodes in addition to associated sponsor's information node of node for generating consumption data,
And other nodes are subjected to extemporaneous association with the node for generating consumption data.Improve the internal motivation that new node enters platform
And extrinsic motive, after establishing extemporaneous association, corresponding reward can flow into therewith.
Preferably, the data acquisition module obtains consumption data by speech recognition；The speech recognition includes as follows
Step：
Obtain voice data；
The voice data is converted into corresponding first text message；
The first keyword set is extracted from the text message according to preset rules, wherein first keyword set
It include at least one keyword in conjunction；
Calculate the similarity of first keyword set and the second keyword set, wherein second keyword set
It is combined into the keyword set that corresponding second text message extracts in presupposed information library, wherein the presupposed information library Zhong Bao
Containing multiple second text messages and the incidence relation for receiving group information；
Wherein, morphology similarity, the sentence of the first text message A and the second text message B are calculated separately by following formula
Long similarity, word order similarity, Distance conformability degree：
Morphology similarity：
The long similarity of sentence：
Word order similarity：
Distance conformability degree：
The similarity of the first text message A and the second text message B are calculated according to following formula：
Sim (A, B)=α1WordSim(A,B)+α2LenSim(A,B)+α3OrderSim(A,B)+α4DisSim(A,B)
Wherein, Len (A) is the number of keyword in the corresponding keyword sets of the first text message A, and Len (B) is second
The number of keyword in the corresponding keyword sets of text message B；SameWc (A, B) is the corresponding keys of the first text message A
The number of same keyword in set of words and the corresponding keyword sets of the second text message B；OnceWs (A, B) is indicated first
All occur in text message A and the second text message B and primary keyword set only occurs；| OnceWs (A, B) | be
The number of keyword in OnceWs (A, B) set, the word distance value that k be the trained DisSim (A, B) arrived when being 0.5, Max
() is to be maximized function, and Abs () is the function that takes absolute value, α1For the weight coefficient of morphology similarity WordSim (A, B), α2
For the weight coefficient of the long similarity LenSim (A, B) of sentence, α3For the similarity of word order similarity OrderSim (A, B), α4For distance
The weight coefficient of similarity DisSim (A, B).
Second aspect, a method of for expanding customer traffic, include the following steps：
Consumption data is obtained, the data include consumption information and node data；
It includes node to obtain consumption information and/or node data, the node data from data acquisition module, and and node
The sponsor's information node being correspondingly arranged, and several it is described people's information node, the node with what node was correspondingly arranged
For consumer and/or businessman；The consumption information includes consume the consumer and businessman of movable both sides；
Obtain the bonus data that the businessman carries out consumer and/or the corresponding sponsor of consumer；
Obtain authentication module bonus data and bonus data is not achieved verification threshold node suspended operation or
Person's delete processing；
The node of business types is obtained, and records the section for occurring to consume movable consumer with the node of the business types
Point, using the node of consumer sponsor's node corresponding with the node of the consumer as the node of the business types
Shareholder's data.
Compared with prior art, it is an advantage of the invention that：1, node all on platform is all unique, provides unique ID,
And it will not be capped because of rejecting；2, all nodes (removing administrator's account) must have unique sponsor's node on platform,
But the relative people's node that is described can have several, therefore, inherent logical order understands；3, bonus data is provided
And the mode of shareholder's reward carries out the expansion of platform flow so that can continue to push the increase of flow in integral platform；
4, each node has difunctional effect, i.e. consumer and businessman so that is added after platform, each node is to be engaged in each row each
No matter industry is consumer or businessman in itself, can obtain corresponding flow and support.
Description of the drawings：
Fig. 1 is a kind of schematic diagram for expanding the system of customer traffic provided in an embodiment of the present invention；
Fig. 2 is a kind of flow chart for expanding the method for customer traffic provided in an embodiment of the present invention；
Fig. 3 is another method flow diagram for expanding customer traffic provided in an embodiment of the present invention；
Fig. 4 be it is provided in an embodiment of the present invention another be used to expand the method flow diagram of customer traffic；
Fig. 5 be it is provided in an embodiment of the present invention another be used to expand the method flow diagram of customer traffic；
Fig. 6 is the flow chart of speech recognition algorithm in the embodiment of the present invention.
Specific implementation mode：
In order to clarify the technical characteristics of the invention, below by specific implementation mode, and its attached drawing is combined, to this hair
It is bright to be described in detail.
Fig. 1 is that the embodiment of the present invention provides a kind of schematic diagram for expanding the system of customer traffic.
Data acquisition module, for obtaining consumption data, the data include consumption information and node data；
Data analysis module, for obtaining consumption information and/or node data, the node data from data acquisition module
Including node, and sponsor's information node for being correspondingly arranged with node, and with what node was correspondingly arranged several it is described people
Information node, the node are consumer and/or businessman；The consumption information includes the consumer for consume movable both sides
And businessman；
Authentication module, the reward carried out for consumer and/or the corresponding sponsor of consumer for obtaining the businessman
Data.
Further include node processing module, simultaneously verification threshold is not achieved in bonus data by the bonus data for obtaining authentication module
The node of value is suspended operation or delete processing.It is unsatisfactory for related request mainly for the treatment of the node of business types.It tests
The concrete numerical value of ratio whether card threshold value can be the concrete numerical value of reward ratio, the concrete numerical value of reward number and reward.
Further include shareholder's module, shareholder's module is used to obtain the node of business types, and records and businessman's class
The node of type occurs to consume the node of movable consumer, and the node of the consumer is corresponding with the node of the consumer
Shareholder data of sponsor's node as the node of the business types.
Shareholder's module is additionally operable to the overall consumption amount of money of the corresponding node of accumulation shareholder's data；The node of the consumer
The overall consumption amount of money be more than shareholder's threshold value after, the node of the corresponding business types of shareholder's data provides shareholder for the node of consumer
Reward.The main purpose of shareholder's module is to accumulate some big motive forces, if only simple reward, only for general
Personal or small unit has certain impetus, for big entity, it is difficult to push their enthusiasm, there are shareholders
In the case of module, it can promote some that can bring the addition of the entity of substantive flow to promote platform traffic evolution.
Further include extemporaneous association module, the extemporaneous association module is used to record the node for generating consumption data, and extracts
The associated sponsor's information node of node of consumption data is generated, and using the node for generating consumption data as starting point, is looked into
Ask with it is described generation consumption data corresponding other nodes in addition to associated sponsor's information node of node, and by its
He carries out extemporaneous association by the node of node and generation consumption data.In the node consumer behavior and sponsor's information section for generating consumption
When point is unrelated, the interests of other nodes really acted can be guaranteed, but extemporaneous association is only disposable, only
It is related with the consumer behavior for working as secondary.Internal motivation and extrinsic motive that new node enters platform are improved, extemporaneous association is established
Afterwards, corresponding reward can flow into therewith.
Below by taking the addition application scenarios of new node as an example, method provided by the invention is elaborated, as shown in Figure 2.
Fig. 2 is a kind of method flow diagram for expanding customer traffic provided in an embodiment of the present invention.
S201, new consumer registers under the recommendation of other nodes enters the platform.
S202, consumer carry out First Consumption, and data acquisition module obtains related consumer data.
S203, data analysis module extract consumption information from data acquisition module, and it is corresponding to feed back to this consumption
Businessman's node.
S204, businessman's node give the corresponding S201 of consumption data other sections mentioned by reward (in kind or cash)
Point.
Below for the addition of new node and carrying extemporaneous association secretly, method provided by the invention, such as Fig. 3 are elaborated
It is shown.Fig. 3 be it is provided in an embodiment of the present invention another be used to expand the method flow diagram of customer traffic.
S301, new consumer registers under the recommendation of other nodes enters the platform.
S302, consumer carry out First Consumption, and data acquisition module obtains related consumer data.
S303, data analysis module extract consumption information from data acquisition module, and it is corresponding to feed back to this consumption
Businessman's node.
S304, extemporaneous association module extract the section that extemporaneous association is established with the First Consumption node from data acquisition module
Point, and feed back to this and consume corresponding businessman's node.
S305, businessman's node give the corresponding S301 of consumption data other sections mentioned by reward (in kind or cash)
The node for the extemporaneous association that point and S304 are mentioned.
Below by taking the node repeatedly consumed is consumed as an example, method provided in an embodiment of the present invention is elaborated,
As shown in Figure 4.
Fig. 4 be it is provided in an embodiment of the present invention another be used to expand the method flow diagram of customer traffic.
S401, consumer consume, and data acquisition module obtains related consumer data.
S402, data analysis module extracts consumption information from data acquisition module, and extracts and S401 consumer nodes
Corresponding node, and feed back to this and consume corresponding businessman's node.
S403, businessman's node give the corresponding S402 of consumption data other sections mentioned by reward (in kind or cash)
Point.
With the node repeatedly consumed and verification threshold is passed through below, the node for obtaining shareholder's qualifications is consumed
For, method provided in an embodiment of the present invention is elaborated, as shown in Figure 5.
Fig. 5 be it is provided in an embodiment of the present invention another be used to expand the method flow diagram of customer traffic.
S501, consumer consume, and data acquisition module obtains related consumer data.
S502, data analysis module extracts consumption information from data acquisition module, and extracts and S501 consumer nodes
Corresponding node, and feed back to this and consume corresponding businessman's node.
S503, businessman's node give the corresponding S502 of consumption data other sections mentioned by reward (in kind or cash)
Point.
S504, shareholder's module extract the secondary consumption data, by calculate find, itself carry out consumption number and its
Consumption data as sponsor has had reached verification threshold 5,000,000.
S505, shareholder's module is stored using the corresponding node of the consumer that the S501 is mentioned as shareholder's data, and is pressed
Subsequent shareholder's reward is carried out according to rule.
As shown in fig. 6, the algorithm includes：
S601 obtains the voice of consumption data.
S602 is converted to corresponding first text message.
Specifically, institute's voice call request information or voice are listened request information, corresponding first text is converted to
This information.
S603 extracts the first keyword set.
Specifically, extracting the first keyword set from the text message according to preset rules, wherein described first closes
It include at least one keyword in keyword set.
S604 extracts the second keyword set in the second text message.
Wherein, second keyword set is combined into the keyword that corresponding second text message extracts in presupposed information library
Set, wherein include multiple second text messages and the incidence relation for receiving group information in the presupposed information library.
S605 calculates the similarity of the first text message and the second text message by formula formula.
Specifically, by following formula calculate separately the first text message A and the second text message B morphology similarity,
The long similarity of sentence, word order similarity, Distance conformability degree：
Morphology similarity：
The long similarity of sentence：
Word order similarity：
Distance conformability degree：
The similarity of the first text message A and the second text message B are calculated according to following formula：
Sim (A, B)=α1WordSim(A,B)+α2LenSim(A,B)+α3OrderSim(A,B)+α4DisSim(A,B)
Wherein, Len (A) is the number of keyword in the corresponding keyword sets of the first text message A, and Len (B) is second
The number of keyword in the corresponding keyword sets of text message B；SameWc (A, B) is the corresponding keys of the first text message A
The number of same keyword in set of words and the corresponding keyword sets of the second text message B；OnceWs (A, B) is indicated first
All occur in text message A and the second text message B and primary keyword set only occurs；| OnceWs (A, B) | be
The number of keyword in OnceWs (A, B) set, the word distance value that k be the trained DisSim (A, B) arrived when being 0.5, Max
() is to be maximized function, and Abs () is the function that takes absolute value, α1For the weight coefficient of morphology similarity WordSim (A, B), α2
For the weight coefficient of the long similarity LenSim (A, B) of sentence, α3For the similarity of word order similarity OrderSim (A, B), α4For distance
The weight coefficient of similarity DisSim (A, B).
Above-described specific implementation mode has carried out further the purpose of the present invention, technical solution and advantageous effect
It is described in detail, it should be understood that the foregoing is merely the specific implementation mode of the present invention, is not intended to limit the present invention
Protection domain, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of platform for expanding customer traffic, which is characterized in that including：
Data acquisition module, for obtaining consumption data, the consumption data includes consumption information and node data；
Data analysis module, for including from data acquisition module acquisition consumption information and/or node data, the node data
Node, and sponsor's information node for being correspondingly arranged with node, and several it is described people's information with what node was correspondingly arranged
Node, the node are consumer and/or businessman；The consumption information includes consume the consumer and quotient of movable both sides
Family；
Authentication module, the bonus data carried out for consumer and/or the corresponding sponsor of consumer for obtaining the businessman.
2. a kind of platform for expanding customer traffic according to claim 1, it is characterised in that：The consumption information is also
Including spending amount.
3. a kind of platform for expanding customer traffic according to claim 1, it is characterised in that：The bonus data is
Reward whether and/or amount of money award and/or reward ratio.
4. a kind of platform for expanding customer traffic according to claim 3, it is characterised in that：It further include node processing
Module, bonus data for obtaining authentication module and the node that bonus data is not achieved to verification threshold suspended operation or
Person's delete processing.
5. a kind of platform for expanding customer traffic according to claim 1 or 2, it is characterised in that：Further include shareholder
Module, shareholder's module are used to obtain the node of business types, and record to occur to consume with the node of the business types and live
The node of dynamic consumer, using the node of consumer sponsor's node corresponding with the node of the consumer as described in
Shareholder's data of the node of business types.
6. a kind of platform for expanding customer traffic according to claim 5, it is characterised in that：Shareholder's module is also
The overall consumption amount of money for accumulating the corresponding node of shareholder's data；The overall consumption amount of money of the node of the consumer is more than shareholder's threshold
After value, the node of the corresponding business types of shareholder's data provides shareholder's reward for the node of consumer.
7. a kind of platform for expanding customer traffic according to claim 5, it is characterised in that：Shareholder's data are corresponding
The node of business types provides shareholder's reward for the node of consumer.
8. a kind of platform for expanding customer traffic according to claim 1, it is characterised in that：It further include extemporaneous association
Module, the extemporaneous association module are used to record the node for generating consumption data, and extract the node correlation for generating consumption data
Sponsor's information node of connection, and using the node for generating consumption data as starting point, inquiry and the generation consumption data
Corresponding other nodes in addition to associated sponsor's information node of node, and by other nodes and generate consumption data
Node carries out extemporaneous association.
9. a kind of platform for expanding customer traffic according to claim 1, it is characterised in that：The data acquisition mould
Block obtains consumption data by speech recognition；The speech recognition includes the following steps：
Obtain voice data；
The voice data is converted into corresponding first text message；
The first keyword set is extracted from the text message according to preset rules, wherein in first keyword set
Including at least one keyword；
Calculate the similarity of first keyword set and the second keyword set, wherein second keyword set is combined into
The keyword set that corresponding second text message extracts in presupposed information library, wherein comprising more in the presupposed information library
A second text message and the incidence relation for receiving group information；
Wherein, morphology similarity, the sentence appearance of the first text message A and the second text message B are calculated separately by following formula
Like degree, word order similarity, Distance conformability degree：
Morphology similarity：
The long similarity of sentence：
Word order similarity：
Distance conformability degree：
The similarity of the first text message A and the second text message B are calculated according to following formula：
Sim (A, B)=α1WordSim(A,B)+α2LenSim(A,B)+α3OrderSim(A,B)+α4DisSim(A,B)
Wherein, Len (A) is the number of keyword in the corresponding keyword sets of the first text message A, and Len (B) is the second text
The number of keyword in the corresponding keyword sets of information B；SameWc (A, B) is the corresponding keyword sets of the first text message A
Close the number of same keyword in keyword set corresponding with the second text message B；OnceWs (A, B) is indicated in the first text
All occur in information A and the second text message B and primary keyword set only occurs；| OnceWs (A, B) | for OnceWs (A,
B the number of keyword in) gathering, k be word distance values of the DisSim (A, B) of training arrived when being 0.5, and Max () is takes most
Big value function, Abs () are the function that takes absolute value, α1For the weight coefficient of morphology similarity WordSim (A, B), α2For sentence appearance
Like the weight coefficient of degree LenSim (A, B), α3For the similarity of word order similarity OrderSim (A, B), α4For Distance conformability degree
The weight coefficient of DisSim (A, B).
10. a kind of method for expanding customer traffic, it is characterised in that：Include the following steps：
Consumption data is obtained, the data include consumption information and node data；
It includes node to obtain consumption information and/or node data, the node data from data acquisition module, and corresponding with node
The sponsor's information node being arranged, and with node be correspondingly arranged it is several be described people's information node, the node is to disappear
The person of expense and/or businessman；The consumption information includes consume the consumer and businessman of movable both sides；
Obtain the bonus data that the businessman carries out consumer and/or the corresponding sponsor of consumer；
It obtains the bonus data of authentication module and the node that bonus data is not achieved to verification threshold is suspended operation or deleted
Except processing；
The node of business types is obtained, and records the node for occurring to consume movable consumer with the node of the business types,
Using the node of consumer sponsor's node corresponding with the node of the consumer as the node of the business types
Shareholder's data.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070288312A1 (en) * | 2006-03-31 | 2007-12-13 | Caliber Data, Inc. | Purchase-transaction-settled online consumer referral and reward service using real-time specific merchant sales information |
| US20100094699A1 (en) * | 2008-10-09 | 2010-04-15 | Beal Bryan | Consolidated consumer rewards systems and methods with card vendor integration |
| CN106875215A (en) * | 2017-01-20 | 2017-06-20 | 四川千亿猫电子商务有限公司 | Profit system and interest concessions distribution method are shared by Yi Ye strange lands businessman, consumer federation |
| CN107016568A (en) * | 2017-03-17 | 2017-08-04 | 袁军 | The data processing method and system of integration increment consumer electronics business platform |
| CN107273350A (en) * | 2017-05-16 | 2017-10-20 | 广东电网有限责任公司江门供电局 | A kind of information processing method and its device for realizing intelligent answer |
| CN107730300A (en) * | 2017-09-04 | 2018-02-23 | 天脉聚源（北京）科技有限公司 | Platform returns the processing method and processing device of existing information |
-
2018
- 2018-05-29 CN CN201810530279.2A patent/CN108536874A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070288312A1 (en) * | 2006-03-31 | 2007-12-13 | Caliber Data, Inc. | Purchase-transaction-settled online consumer referral and reward service using real-time specific merchant sales information |
| US20100094699A1 (en) * | 2008-10-09 | 2010-04-15 | Beal Bryan | Consolidated consumer rewards systems and methods with card vendor integration |
| CN106875215A (en) * | 2017-01-20 | 2017-06-20 | 四川千亿猫电子商务有限公司 | Profit system and interest concessions distribution method are shared by Yi Ye strange lands businessman, consumer federation |
| CN107016568A (en) * | 2017-03-17 | 2017-08-04 | 袁军 | The data processing method and system of integration increment consumer electronics business platform |
| CN107273350A (en) * | 2017-05-16 | 2017-10-20 | 广东电网有限责任公司江门供电局 | A kind of information processing method and its device for realizing intelligent answer |
| CN107730300A (en) * | 2017-09-04 | 2018-02-23 | 天脉聚源（北京）科技有限公司 | Platform returns the processing method and processing device of existing information |
Non-Patent Citations (1)
| Title |
|---|
| 王潇，赵茂辰主编: "现代企业管理", 31 July 2013, 上海交通大学出版社, pages: 157 - 158 * |
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