WO2019196579A1 - 智能券的发放方法、装置及利用智能券的核销方法、装置 - Google Patents

智能券的发放方法、装置及利用智能券的核销方法、装置 Download PDF

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Publication number
WO2019196579A1
WO2019196579A1 PCT/CN2019/077446 CN2019077446W WO2019196579A1 WO 2019196579 A1 WO2019196579 A1 WO 2019196579A1 CN 2019077446 W CN2019077446 W CN 2019077446W WO 2019196579 A1 WO2019196579 A1 WO 2019196579A1
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user
smart
preferential information
value
smart coupon
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PCT/CN2019/077446
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English (en)
French (fr)
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沈晶晶
罗晗
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口碑(上海)信息技术有限公司
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Publication of WO2019196579A1 publication Critical patent/WO2019196579A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0224—Discounts or incentives, e.g. coupons or rebates based on user history
    • 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
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates

Definitions

  • the present disclosure relates to the field of Internet technologies, and in particular, to a method and an apparatus for issuing a smart coupon, and a verification method and apparatus for using the smart coupon.
  • a voucher is a business voucher issued by various merchants that is produced, distributed, and used in various electronic media.
  • E-vouchers include: cash coupons, coupons, deductible coupons, discount coupons, such as red envelopes, coupons, etc. At present, e-vouchers have been accepted and used by more and more users.
  • the existing method of issuing securities is generally that the merchant sets various types of information of the coupon in advance, for example, preferential information, constraint information, payment method, etc., and the discount rate or denomination of the coupon itself is fixed, that is, a unique value. It does not make a difference because of the user's consumption, that is to say, whether the user receives it before consumption or receives it immediately before the payment, it has nothing to do with the user's consumption.
  • the merchant builds the coupon, he does not know the user's information, such as whether the user is sensitive to the discount, the level of consumption power, the number of consumers (for example, he is responsible for ordering, but the actual number of people eating more than one person), buying habits (for example) The number of regular single purchases of a single item), however, these are important factors affecting the effectiveness of the actual coupons. For example, in a restaurant that consumes 10 yuan per person, a threshold of 13 for two companions is provided.
  • Yuan’s full-time coupons for example, a user who buys a box of Mengniu milk from a regular supermarket will provide a no-threshold coupon for Mengniu’s milk, which will not effectively increase the unit price and single item list. The number of purchases may even cause the merchant to spend less on marketing costs and reduce profit margins, that is, often fail to get the best marketing results.
  • the present disclosure has been made in order to provide a method and apparatus for issuing a smart coupon that overcomes the above problems or at least partially solves the above problems, and a verification method and apparatus for using the smart coupon.
  • a method for issuing a smart coupon including:
  • a verification method using a smart coupon including:
  • the user payment behavior is settled according to the smart coupon instance returned by the server.
  • a device for issuing a smart coupon including:
  • a first obtaining module configured to acquire a smart coupon template carrying the value range of the preferential information and a user consumption feature when the ticket activity condition is triggered;
  • a determining module configured to determine a final value of the preferential information from the value range of the preferential information according to the user consumption characteristic
  • a module is created for creating a smart coupon instance based on the final value of the offer information and returning the smart coupon instance.
  • a verification device using a smart coupon comprising:
  • An obtaining module configured to acquire a user-specific behavior for a merchant for triggering a ticketing activity condition, for the smart coupon issuing device to create and return a smart coupon instance;
  • the settlement module is adapted to perform settlement processing on the payment behavior of the user according to the smart coupon instance returned by the issuing device of the smart coupon.
  • a computing device including: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface complete communication with each other through a communication bus;
  • the memory is configured to store at least one executable instruction, and the executable instruction causes the processor to perform an operation corresponding to the method for issuing the smart coupon.
  • a non-transitory computer readable storage medium having stored therein at least one executable instruction that causes a processor to perform the above-described intelligence The operation corresponding to the method of issuing the coupon.
  • a computer program product comprising a computing program stored on the non-transitory computer readable storage medium described above.
  • a computing device including: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface complete communication with each other through a communication bus;
  • the memory is configured to store at least one executable instruction, and the executable instruction causes the processor to perform the operation corresponding to the verification method using the smart coupon.
  • a non-transitory computer readable storage medium having stored therein at least one executable instruction that causes a processor to perform the above-described utilization The corresponding operation of the verification method of the smart coupon.
  • a computer program product comprising a computing program stored on the non-transitory computer readable storage medium described above.
  • the issuing activity condition when the issuing activity condition is triggered, acquiring the smart coupon template and the user consumption feature carrying the preferential information range value; determining the final value of the preferential information from the preferential information range value according to the user consumption characteristic; The final value of the offer information creates a smart coupon instance and returns the smart coupon instance.
  • the final value of the preferential information is calculated according to the user consumption feature, and the preferential strength and/or the use threshold of the flexible design ticket instance is realized, which can enable the merchant to achieve an optimal marketing effect and reduce the unnecessary necessity of the merchant. Marketing expenses further promoted user consumption and increased the profitability of merchants.
  • FIG. 1 is a flow chart showing a method for issuing a smart coupon according to an embodiment of the present disclosure
  • FIG. 2 is a flow chart showing a method for issuing a smart coupon according to another embodiment of the present disclosure
  • FIG. 3 is a flow chart showing a verification method using a smart coupon according to still another embodiment of the present disclosure.
  • FIG. 4 is a schematic structural diagram of a device for issuing a smart coupon according to an embodiment of the present disclosure
  • FIG. 5 is a block diagram showing the structure of a verification device using a smart coupon according to an embodiment of the present disclosure
  • FIG. 6 shows a schematic structural diagram of a computing device according to an embodiment of the present disclosure.
  • the existing coupon examples are all created according to the unique value of the preferential information set by the merchant, and in the present disclosure, the merchant sets a range of preferential information, which can be set from the merchant in order to fully guarantee the interests of the merchant.
  • the preferential information range value the final value of the preferential information is flexibly selected, and the voucher instance is created according to the final value of the preferential information, and the obtained voucher is called a smart coupon.
  • the coupon denomination and the threshold amount of the smart voucher are all flexibly set. The coupon denomination and threshold amount of different smart coupons will be different.
  • the smart voucher template defines what voucher is issued to the user, stipulates the e-voucher's concessions and some restrictions when used, and may include the following information: voucher type (for example, full-time discount coupons, full-time full coupons, Single product coupons, etc.), expiration date, usage instructions, range of preferential information, etc., all kinds of information in the smart coupon template are set by the merchant in advance, each merchant can set the range of the preferential information, the range value is specified The scope of the offer that the merchant can give the user, wherein the smart coupon template cannot be written off, that is, does not have the function of actual consumption.
  • the voucher type of the voucher issued by the merchant is a discount voucher, which is valid from March 23, 2018 to March 31, 2018.
  • Discounted rate range (The range value of the voucher template offer information) is [a, b].
  • the number of pieces of the voucher and the range of the price reduction can be set.
  • the merchant It can be set according to actual needs.
  • FIG. 1 is a flow chart showing a method of issuing a smart coupon according to an embodiment of the present disclosure. As shown in Figure 1, the method includes the following steps:
  • Step S100 When the ticket activity condition is triggered, the smart coupon template carrying the discount information range value and the user consumption feature are acquired.
  • the user-specific behavior generated by the user for the merchant is deemed to be triggered by the ticketing activity condition, wherein the user-specific behavior may be any one of the following behaviors: the user opens the merchant's store homepage or opens the merchant
  • the shopping cart or the trigger collection button in the store homepage is not specifically limited herein, and other user-specific behaviors that can be regarded as triggering the conditions of the ticketing activity by the user are within the protection scope of the present disclosure.
  • the smart coupon template carrying the value range of the preferential information and the user consumption feature are obtained, wherein the user consumption characteristic reflects the daily consumption situation of the user, Different users have different daily consumption. Therefore, the user consumption characteristics will be different.
  • combining the user consumption characteristics to design a smart coupon instance for the merchant can help the merchant achieve the optimal marketing effect.
  • Step S101 Determine a final value of the preferential information from the preferential information range value according to the user consumption characteristic.
  • the final value of the preferential information is the basis for creating the smart coupon instance, which determines the incentive strength of the merchant to the user, and the marketing expenditure of the merchant, because different users have different consumption characteristics, therefore, for different users. According to the user's consumption characteristics, the final value of the preferential information determined from the value range of the preferential information will also be different, and the discounts enjoyed by different users will also be different.
  • Step S102 creating a smart coupon instance according to the final value of the preferential information, and returning the smart coupon instance.
  • the smart coupon instance may be created according to the final value of the preferential information, wherein the smart coupon instance is an electronic coupon that the real user can use, and the electronic coupon that will be written off after the user uses, After the smart coupon instance is created, the smart coupon instance is returned to the user to complete the smart coupon issuance.
  • the smart coupon template carrying the preferential information range value and the user consumption feature are acquired; and the preferential information is determined from the preferential information range value according to the user consumption characteristic. Value; create a smart coupon instance based on the final value of the offer, returning the smart coupon instance.
  • the final value of the preferential information is calculated intelligently according to the user consumption feature, and the preferential strength and/or the use threshold of the flexible design ticket instance is realized, so that the merchant can achieve the optimal marketing effect and reduce the merchant.
  • the necessary marketing expenses further promoted user consumption and increased the profitability of the business.
  • FIG. 2 is a flow chart showing a method of issuing a smart coupon according to another embodiment of the present disclosure. As shown in FIG. 2, the method includes the following steps:
  • step S200 when the issuing activity condition is triggered, it is determined whether the user who triggered the issuing activity condition is a new user, and if yes, step S201 or step S202 is performed; if not, step S206 is performed.
  • determining whether the user triggering the ticketing activity condition is a new user is mainly for determining whether the user consumption characteristic of the user can be acquired, and further determining whether the final value of the preferential information can be determined according to the user consumption characteristic.
  • the final value of the information is created to the user based on the final value of the offer information.
  • the final value of the offer information can be calculated by means of user consumption characteristics of similar users or historical merchant transaction information.
  • a user consumption characteristic that characterizes the daily consumption of the user can be obtained. Therefore, for such a user, the final value of the preferential information is determined according to the user consumption characteristic, and then the smart coupon instance is created according to the final value of the preferential information. Fully guarantee the maximum benefit of the business and avoid unnecessary expenses of the business.
  • the user identifier of the user who triggers the billing activity condition can be obtained, and according to the user identifier, whether there is a user consumption record, if there is no user consumption record, the user who triggers the billing activity condition is considered as New user; if there is a user consumption record, the user who believes that the ticketing activity condition is triggered is not a new user.
  • step S201 a similar user of the user is obtained according to a uniform user portrait of an industry or a region.
  • the user portrait can be constructed according to the user data, for example, age, gender, address, preference, etc.
  • the user portrait of the user can be uniformly constructed according to the industry or the region, and each user corresponds to There is a unique user portrait, so that the user's similar image can be accurately determined according to the user's portrait.
  • the user's user consumption characteristics can be determined to be similar. Therefore, after the similar user is determined, The user consumption characteristics of similar users can be obtained in order to determine the final value of the preferential information according to the user consumption characteristics of similar users.
  • Step S202 Acquire transaction information of the merchant within a preset time period.
  • the final value of the preferential information needs to be calculated in combination with other data, which may be based on the historical transaction information of the merchant.
  • the preset time period can be set according to actual needs, and is not specifically limited herein.
  • Step S203 calculating a transaction average value according to the merchant transaction information.
  • the transaction information of the merchant includes information such as the transaction amount, the item information, the merchant identification, etc.
  • the transaction amount and the transaction amount of the merchant within the preset time period are counted, and the merchant is calculated at the preset time. The average value of the transactions within the segment.
  • Step S204 Acquire a smart coupon template carrying the value range of the preferential information.
  • the voucher template library can be queried, and the smart voucher template provided by the merchant with the value range of the preferential information can be obtained.
  • step S202 to step S203 and step S204 is not specifically limited.
  • step S202 to step S203 may be performed first, or step S202 and step S204 may be performed at the same time.
  • Step S205 calculating a final value of the preferential information according to the transaction average value and the preferential information range value.
  • the final value of the preferential information can be calculated according to the transaction average value and the range value of the preferential information.
  • the following is an example of calculating the full-price discount coupon including the threshold amount and the coupon denomination, and obtaining the profit rate of the industry in which the merchant is located.
  • the discount information range value for example, the discount rate range [a, b]
  • the discount rate range for example, the discount rate range [a, b]
  • the discount rate range for example, the discount rate range [a, b]
  • the discount rate range for example, the discount rate range [a, b]
  • the discount rate range for example, the discount rate range [a, b]
  • the discount rate range for example, the discount rate range [a, b]
  • the final value of the preferential information may also be determined by using the e-commerce data.
  • the final value of the preferential information may be determined according to the judgment result of whether the current user's city location and the common delivery address of the e-commerce are the same. If the current user's city location is different from the e-commerce common delivery address, the user can be considered to be on a business trip. Under normal circumstances, the unit will have a corresponding reimbursement policy for the employees on the business trip. Therefore, the user can be given lower for the business trip. Offer.
  • step S206 the user consumption feature database is queried, and the user consumption characteristics of the user or similar user that triggers the ticketing activity condition are obtained.
  • the user consumption feature database pre-stores the user consumption characteristics of a large number of users, specifically, the correspondence between the user identifier and the user consumption characteristics, wherein the user consumption characteristics reflect the daily consumption situation of the user, for example, the preferential characteristics of the discount and the characteristics of the consumption level.
  • the characteristics of the number of consumers, the characteristics of purchasing habits (for example, the number of regular single purchases of a single item), etc., the user consumption characteristics of different users are different.
  • the user identifier of the user who triggers the billing activity condition can be obtained. If the user triggering the billing activity condition is not a new user, the user consumption feature database can be queried according to the user identifier, and the user identifier is obtained. If the user triggering the ticketing activity condition is a new user, if the similar user of the user is determined in step S201, the user consumption feature database may be queried according to the user identifier of the similar user, and the user corresponding to the similar user is obtained. Consumption characteristics.
  • the final value of the preferential information may be determined according to the user consumption characteristic of the similar user.
  • Step S207 querying the voucher template library, and obtaining a smart voucher template provided by the merchant and carrying the value range of the preferential information.
  • the voucher template store stores a lot of smart voucher templates set by the merchant. Specifically, the voucher template library pre-stores the correspondence between the merchant logo and the smart voucher template. Therefore, the user triggers the voucher activity condition for the user to generate the user-specific behavior.
  • the merchant identifier can be obtained. Therefore, the coupon template library can be quickly found according to the merchant identifier to obtain the coupon template value corresponding to the merchant identifier, thereby obtaining the discount information range value recorded in the smart coupon template.
  • the merchant A sets the smart coupon template as follows: the coupon type of the issued smart coupon instance is a discount coupon, and the validity period is from March 23, 2018 to March 31, 2018. Instructions for use: payment to the store, not available
  • the item discount is superimposed, and the discount rate range (the preferential information range value) is [a, b], and the merchant ID and the smart coupon template of the merchant A are pre-stored in the voucher template library, and the corresponding business identifier of the merchant A can be found.
  • the smart coupon template gets the discount information range value [a, b].
  • Step S208 the user consumption feature and the preferential information range value are input to a preset calculation model to obtain a final value of the preferential information.
  • the preset calculation model is obtained based on a large number of sample training.
  • the decision tree model or the deep learning model can be used for training, wherein the sample form is (user consumption feature, preferential information range value, discount information final value), therefore,
  • the preset calculation model obtained after training is a model in which the input is a user consumption feature, a preferential information range value, and the output is a final value of the preferential information, and after obtaining the user consumption characteristic of a user and the value range of the preferential information corresponding to the merchant,
  • the input to the preset calculation model can obtain the final value of the preferential information used when generating the smart coupon instance for the user.
  • the sample form is not limited to this.
  • it may also include the transaction information of the merchant within the preset time period, and the historical discount rate/margin rate of different industry activities.
  • the transaction information of the merchant within the preset time period may also include the transaction information of the merchant within the preset time period, and the historical discount rate/margin rate of different industry activities.
  • the historical discount rate/margin rate of different industry activities may also include the transaction information of the merchant within the preset time period, and the historical discount rate/margin rate of different industry activities.
  • the preset calculation model in the embodiment of the present disclosure is not unique, and the server may select an appropriate preset calculation model according to the user consumption feature and the feature value corresponding to the user consumption feature.
  • the following is an example of calculating a full-price discount coupon including the threshold amount and the coupon denomination, obtaining the profit rate of the industry in which the merchant is located, obtaining the merchant transaction information within the preset time period (for example, the merchant transaction information within 90 days), and obtaining the user consumption.
  • the feature for example, the user last consumption amount
  • the discount information range value for example, the discount rate range [a, b]
  • the preset calculation model calculates the preferential information according to the above information.
  • the final value wherein the preset calculation model can be calculated as follows: the profit rate of the industry in which the merchant is located is determined from the discount rate range [a, b], and the discount rate of the merchant profit rate is maximum, and the transaction information is clustered.
  • the profit rate of the industry in which the merchant is located is determined from the discount rate range [a, b], and the discount rate of the merchant profit rate is maximum, and the transaction information is clustered.
  • To obtain a plurality of consumer groups for each consumer group, determine the consumption ceiling, consumption downline, and consumption average of the consumer group; determine the consumer average value of the consumer group and the consumer group according to the last consumption amount of the user; The average value of the consumption and the range of the preferential information are calculated to obtain the final value of the preferential information, for example, the final value of the preferential information is obtained.
  • Threshold amount m / x
  • voucher denomination m / x * (1-x)
  • the average consumer price is 60
  • the discount rate of the merchant's profit margin is 0.8
  • the threshold is 75 yuan
  • the voucher amount is 15 yuan.
  • Step S209 creating a smart coupon instance according to the final value of the preferential information, and returning the smart coupon instance.
  • the smart coupon instance is a voucher for the user to enjoy the specific offer given by the merchant.
  • the smart coupon instance may be created according to the final value of the offer information, wherein the smart coupon instance is an electronic coupon that the real user can use.
  • the smart coupon instance is sent to the user, so that the smart coupon is issued, and the final value of the preferential information of the smart coupon instance is generated through flexible design, thereby realizing flexibility.
  • the smart voucher may not be issued to the user; for example, for a restaurant that consumes 10 yuan per person, a threshold of 25 yuan may be provided for two companion users. Fully reduced coupons, thereby increasing the profitability of the merchants.
  • the user consumption characteristic of the user who triggers the payment activity condition may be used to determine the final value of the preferential information. If it is determined that the user triggering the payment condition is a user, the final value of the preferential information may be determined by obtaining the user consumption characteristic of the similar user of the user or by determining the average value of the transaction within the preset time period, according to the determined discount.
  • the final value of the information helps the merchant to design specific limitations of the smart coupon instance, such as thresholds and denominations (discounts, etc.), by flexibly setting the specific restrictions of the smart coupon instance, which helps the merchant achieve optimal marketing results and reduce unnecessary expenditures of the merchant.
  • the profit margin of the merchant is improved.
  • the purpose of promoting user consumption can be achieved, and the profit of the merchant is further increased.
  • FIG. 3 illustrates a flow chart of a verification method using a smart coupon according to still another embodiment of the present disclosure. As shown in FIG. 3, the method includes the following steps:
  • Step S300 Acquire a user-specific behavior for the merchant for triggering the billing activity condition, so that the server creates and returns the smart coupon instance according to the method for issuing the smart coupon.
  • the user-specific behavior generated by the user on the client side is regarded as the user triggering the ticketing activity condition. Therefore, it is necessary to monitor whether the user-specific behavior is generated in real time, and if it is detected that the corresponding user-specific behavior is generated for the merchant, the corresponding correspondence is obtained.
  • User-specific behavior in which the user-specific behavior can specifically open the merchant's store homepage to browse the store's goods or open the shopping cart in the merchant's store homepage or trigger the collection button, etc.
  • others can be regarded as User-specific behaviors that trigger conditions for issuing coupons are within the scope of this disclosure.
  • the client After obtaining the user-specific behavior, the client forwards the user-specific behavior to the server, and the server creates and returns the smart coupon instance according to the method in the embodiment shown in FIG. 1 or FIG. 2.
  • Step S301 the user payment behavior is settled according to the coupon instance returned by the server.
  • the server After the server creates the smart coupon instance, the server returns the smart coupon instance to the client.
  • the server can use the corresponding smart coupon instance to perform settlement, specifically, according to the preferential information recorded in the smart coupon instance.
  • the corresponding offer The corresponding offer.
  • FIG. 4 is a block diagram showing the structure of a dispensing apparatus for a smart coupon according to an embodiment of the present disclosure. As shown in FIG. 4, the device includes: a first obtaining module 400, a determining module 410, and a creating module 420.
  • the first obtaining module 400 is adapted to acquire the smart coupon template and the user consumption feature carrying the preferential information range value when the issuing activity condition is triggered.
  • the determining module 410 is adapted to determine a final value of the preferential information from the preferential information range value according to the user consumption characteristic.
  • the creating module 420 is adapted to create a smart coupon instance according to the discount information final value and return the smart coupon instance.
  • the first obtaining module 400 is further configured to: query the voucher template library to obtain a smart voucher template provided by the merchant;
  • the determining module 410 is further adapted to: input the user consumption feature and the preferential information range value to the preset calculation model to obtain the final value of the preferential information.
  • the preset calculation model is specifically a decision tree model or a deep learning model.
  • the user consumption feature includes one or more of the following features: a discount sensitive feature, a consumption level feature, a consumer rating feature, and a purchasing habit feature.
  • the device further includes: a determining module 430, configured to determine whether the user triggering the ticketing activity condition is a new user;
  • the first obtaining module 400 is further adapted to: if the user triggering the issuing activity condition is not a new user, acquire a user consumption characteristic of the user that triggers the issuing activity condition.
  • the first obtaining module 400 is further adapted to: if the user triggering the ticketing activity condition is a new user, obtain a user consumption characteristic of the similar user according to the uniform user portrait of the industry or the region.
  • the device further includes: a second obtaining module 440, configured to: if it is determined that the user that triggers the ticketing activity condition is a new user, acquire the merchant transaction information in the preset time period;
  • the first calculating module 450 is adapted to calculate a transaction average value according to the merchant transaction information
  • the third obtaining module 460 is adapted to obtain a smart coupon template carrying the value range of the preferential information
  • the second calculating module 470 is adapted to calculate a final value of the preferential information according to the transaction average value and the preferential information range value.
  • the smart coupon template and the user consumption feature carrying the preferential information range value are acquired; and the preferential information is determined from the preferential information range value according to the user consumption characteristic. Value; create a smart coupon instance based on the final value of the offer, returning the smart coupon instance.
  • the final value of the preferential information is calculated according to the user consumption feature, and the preferential strength and/or the use threshold of the flexible design ticket instance is realized, which can enable the merchant to achieve an optimal marketing effect and reduce the unnecessary necessity of the merchant. Marketing expenses further promoted user consumption and increased the profitability of merchants.
  • FIG. 5 shows a schematic structural diagram of a verification device using a smart coupon according to an embodiment of the present disclosure.
  • the device includes: an obtaining module 500 and a settlement module 510.
  • the obtaining module 500 is adapted to acquire a user-specific behavior for the merchant for triggering the issuing activity condition, so that the issuing device of the smart coupon creates and returns the smart coupon instance;
  • the settlement module 510 is adapted to perform settlement processing on the user payment behavior according to the smart coupon instance returned by the issuing device of the smart coupon.
  • the embodiment of the present disclosure further provides a non-transitory computer readable storage medium storing at least one executable instruction executable in any of the above method embodiments Methods.
  • FIG. 6 is a schematic structural diagram of a computing device according to an embodiment of the present disclosure.
  • the specific embodiment of the present disclosure does not limit the specific implementation of the computing device.
  • the computing device can include a processor 602, a Communications Interface 604, a memory 606, and a communication bus 608.
  • Processor 602, communication interface 604, and memory 606 complete communication with one another via communication bus 608.
  • the communication interface 604 is configured to communicate with network elements of other devices, such as clients or other servers.
  • the processor 602 is configured to execute the program 610. Specifically, the related steps in the foregoing method embodiments may be performed.
  • program 610 can include program code, the program code including computer operating instructions.
  • the processor 602 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present disclosure.
  • the computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or different types of processors, such as one or more CPUs and one or more ASICs.
  • the memory 606 is configured to store the program 610.
  • Memory 606 may include high speed RAM memory and may also include non-volatile memory, such as at least one disk memory.
  • Program 610 may be specifically configured to cause processor 602 to perform the methods of any of the method embodiments described above.
  • steps in the program 610 reference may be made to the corresponding steps in the foregoing method embodiments and corresponding descriptions in the elements, and details are not described herein.
  • a person skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the device and the module described above may be referred to the corresponding process description in the foregoing method embodiment, and details are not described herein again.
  • modules in the devices of the embodiments can be adaptively changed and placed in one or more devices different from the embodiment.
  • the modules or units or components of the embodiments may be combined into one module or unit or component, and further they may be divided into a plurality of sub-modules or sub-units or sub-components.
  • any combination of the features disclosed in the specification, including the accompanying claims, the abstract and the drawings, and any methods so disclosed, or All processes or units of the device are combined.
  • Each feature disclosed in this specification (including the accompanying claims, the abstract and the drawings) may be replaced by alternative features that provide the same, equivalent or similar purpose.
  • the various component embodiments of the present disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof.
  • a microprocessor or digital signal processor may be used in practice to implement some or all of the functionality of some or all of the components of the smart coupon dispensing device in accordance with embodiments of the present disclosure.
  • the present disclosure may also be implemented as a device or device program (eg, a computer program and a computer program product) for performing some or all of the methods described herein.
  • Such a program implementing the present disclosure may be stored on a computer readable medium or may be in the form of one or more signals. Such signals may be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

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Abstract

一种智能券的发放方法、装置及利用智能券的核销方法、装置。其中，智能券的发放方法包括：当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征（S100）；根据用户消费特征，从优惠信息范围值中确定优惠信息最终值（S101）；根据优惠信息最终值创建智能券实例，返回智能券实例（S102）。

Description

智能券的发放方法、装置及利用智能券的核销方法、装置
相关申请的交叉参考
本申请要求于2018年4月11日提交中国专利局、申请号为201810322478.4、名称为“智能券的发放方法、装置及利用智能券的核销方法、装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本公开涉及互联网技术领域，具体涉及一种智能券的发放方法、装置及利用智能券的核销方法、装置。
背景技术
随着互联网技术和移动终端技术的发展，越来越多的商家通过互联网发行电子券给用户，用户在享受商家提供服务的过程中，直接使用电子券进行消费或者获得优惠。电子券是指由各商家发放，以各种电子媒介形式制作、传播和使用的商业凭证。电子券包括：现金券、抵价券、抵扣券、折扣券，如红包、优惠券等。目前，电子券已被越来越多的用户接受和使用。
现有的发券方法，一般是商家事先设定好券的各类信息，例如，优惠信息、约束条件信息、发券方式等，券本身的折扣率或面额都是固定的，即唯一值，并不会因为用户的消费而产生差别，也就是说，无论是用户在消费前先领好，还是在付款的前一刻领取，与用户的消费无关。
另外，商家在建券时，并不了解用户的信息，例如用户是否对优惠敏感，消费力水平，此次消费人数(例如他负责点餐，但实际就餐人数超过1人)，购买习惯(例如单品的常规单次购买数量)，然而这些都是影响实际优惠券使用效果的重要因素，例如在一个常规人均消费10元的餐厅，对两个结伴而来的用户提供一张门槛金额为13元的全场满减券；再例如向一个常来超市就会购买一箱蒙牛牛奶的用户提供一张适用于蒙牛牛奶的无门槛减至券，都无法有效地提升客单价，以及单品单次购买数量，甚至有可能会让商家凭空支出营销成本，减少利润率，也就是说，往往不能够得到最优的营销效果。
发明内容
鉴于上述问题，提出了本公开以便提供一种克服上述问题或者至少部分地解决上述问题的智能券的发放方法、装置及利用智能券的核销方法、装置。
根据本公开的一个方面，提供了一种智能券的发放方法，包括：
当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征；
根据用户消费特征，从优惠信息范围值中确定优惠信息最终值；
根据优惠信息最终值创建智能券实例，返回智能券实例。
根据本公开的另一方面，提供了一种利用智能券的核销方法，包括：
获取用于触发发券活动条件的针对商家的用户特定行为，以供服务端根据上述智能券的发放方法创建并返回智能券实例；
依据服务端返回的智能券实例对用户支付行为进行结算处理。
根据本公开的另一方面，提供了一种智能券的发放装置，包括：
第一获取模块，适于当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征；
确定模块，适于根据用户消费特征，从优惠信息范围值中确定优惠信息最终值；
创建模块，适于根据优惠信息最终值创建智能券实例，返回智能券实例。
根据本公开的另一方面，提供了一种利用智能券的核销装置，包括：
获取模块，适于获取用于触发发券活动条件的针对商家的用户特定行为，以供智能券的发放装置创建并返回智能券实例；
结算模块，适于依据智能券的发放装置返回的智能券实例对用户支付行为进行结算处理。
根据本公开的另一方面，提供了一种计算设备，包括：处理器、存储器、通信接口和通信总线，处理器、存储器和通信接口通过通信总线完成相互间的通信；
存储器用于存放至少一可执行指令，可执行指令使处理器执行上述智能券的发放方法对应的操作。
根据本公开的另一方面，提供了一种非易失性计算机可读存储介质，该非易失性计算机可读存储介质中存储有至少一可执行指令，可执行指令使处理器执行上述智能券的发放方法对应的操作。
根据本公开的再又一方面，还提供了一种计算机程序产品，该计算机程序产品包括存储在上述非易失性计算机可读存储介质上的计算程序。
根据本公开的另一方面，提供了一种计算设备，包括：处理器、存储器、通信接口和通信总线，处理器、存储器和通信接口通过通信总线完成相互间的通信；
存储器用于存放至少一可执行指令，可执行指令使处理器执行上述利用智能券的核销方法对应的操作。
根据本公开的另一方面，提供了一种非易失性计算机可读存储介质，该非易失性计算机可读存储介质中存储有至少一可执行指令，可执行指令使处理器执行上述利用智能券的核销方法对应的操作。
根据本公开的再又一方面，还提供了一种计算机程序产品，该计算机程序产品包括存储在上述非易失性计算机可读存储介质上的计算程序。
根据本公开提供的方案，当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征；根据用户消费特征，从优惠信息范围值中确定优惠信息最终值；根据优惠信息最终值创建智能券实例，返回智能券实例。基于本公开实施例提供的方案，根据用户消费特征计算优惠信息最终值，实现了灵活的设计券实例的优惠力度和/或使用门槛，能够使商家达到最优的营销效果，减少商家不必要的营销支出，进一步促进了用户消费，提升了商家的利润率。
上述说明仅是本公开技术方案的概述，为了能够更清楚了解本公开的技术手段，而可依照说明书的内容予以实施，并且为了让本公开的上述和其它目的、特征和优点能够更明显易懂，以下特举本公开的具体实施方式。
附图说明
通过阅读下文优选实施方式的详细描述，各种其他的优点和益处对于本领域普通技术人员将变得清楚明了。附图仅用于示出优选实施方式的目的，而并不认为是对本公开的限制。而且在整个附图中，用相同的参考符号表示相同的部件。在附图中：
图1示出了根据本公开一个实施例的智能券的发放方法的流程示意图；
图2示出了根据本公开另一个实施例的智能券的发放方法的流程示意图；
图3示出了根据本公开又一个实施例的利用智能券的核销方法的流程示意图；
图4示出了根据本公开一个实施例的智能券的发放装置的结构示意图；
图5示出了根据本公开一个实施例的利用智能券的核销装置的结构示意图；
图6示出了根据本公开一个实施例的一种计算设备的结构示意图。
具体实施方式
下面将参照附图更详细地描述本公开的示例性实施例。虽然附图中显示了本公开的示例性实施例，然而应当理解，可以以各种形式实现本公开而不应被这里阐述的实施例所限制。相反，提供这些实施例是为了能够更透彻地理解本公开，并且能够将本公开的范围完整的传达给本领域的技术人员。
现有的券实例都是根据商家所设定的优惠信息的唯一值而创建的，而本公开中，商家设定一个优惠信息范围，为了能够充分保证商家的利益，可以从商家所设定的优惠信息范围值中灵活选择优惠信息最终值，根据该优惠信息最终值创建券实例，由此得到的券称为智能券，在本公开中，智能券的券面额、门槛金额等都是灵活设定的，不同的智能券的券面额、门槛金额等会有所不同。
智能券模板定义了发放给用户的是一个什么券，规定了电子券在使用时的优惠及一些限制条件，其可能包含如下信息：券类型(例如，全场折扣券、全场满减券、单品券等)、有效期、使用说明、优惠信息范围值等，智能券模板中的各类信息都是商家事先设定的，每个商家可以自行设定优惠信息范 围值，该范围值规定了商家所能给予用户的优惠范围，其中，智能券模板并不能进行核销，即，不具有实际消费的功能。举例说明，商家定义所发放券的券类型为折扣券，有效期为2018年3月23日-2018年3月31日，使用说明：到店支付使用、不可与单品优惠叠加使用，折扣率范围(券模板优惠信息的范围值)为[a,b]，再例如，对于单品券，可以设定单品券的件数门槛和减至价的范围值，当然，这里仅是举例说明，商家可以根据实际需要进行设定。
图1示出了根据本公开一个实施例的智能券的发放方法的流程示意图。如图1所示，该方法包括以下步骤：
步骤S100，当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征。
在本公开实施例中，用户针对商家所产生的用户特定行为即视为发券活动条件被触发，其中，用户特定行为可以是以下行为中的任意一种：用户打开商家的店铺主页或者打开商家的店铺主页中的购物车或者触发领取按钮等，这里不做具体限定，其它能够视为用户触发了发券活动条件的用户特定行为均属于本公开的保护范围。
当发券活动条件被触发时，可认为需要向用户发放智能券，具体地，获取携带有优惠信息范围值的智能券模板和用户消费特征，其中，用户消费特征体现了用户日常消费情况，对于不同的用户，其日常消费各有不同，因此，用户消费特征也会有所不同，这里结合用户消费特征为商家设计智能券实例，能够助于商家达到最优的营销效果。
步骤S101，根据用户消费特征，从优惠信息范围值中确定优惠信息最终值。
本公开实施例中，优惠信息最终值是创建智能券实例的依据，其决定了商家给该用户的优惠力度，商家的营销支出，由于不同用户的用户消费特征不同，因此，对于不同的用户，根据用户消费特征，从优惠信息范围值中所确定的优惠信息最终值也会不同，那么不同用户所享受的优惠也会不同。通过为不同的用户设计不同的优惠信息最终值，能够帮助商家减少不必要的营销支出，提升商家的利润率，同时还实现了千人千券，提升了用户体验。
步骤S102，根据优惠信息最终值创建智能券实例，返回智能券实例。
在根据步骤S101得到优惠信息最终值后，可以根据优惠信息最终值来创建智能券实例，其中，智能券实例是真实的用户可以使用的电子券，在用户使用后将被核销的电子券，在创建智能券实例后，将智能券实例返回给用户，完成智能券发放。
根据本公开上述实施例提供的方法，当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征；根据用户消费特征，从优惠信息范围值中确定优惠信息最终值；根据优惠信息最终值创建智能券实例，返回智能券实例。基于本公开实施例提供的方案，根据用户消费特征智能地计算优惠信息最终值，实现了灵活的设计券实例的优惠力度和/或使用门槛，能够使商家达到最优的营销效果，减少商家不必要的营销支出，进一步促进了用户消费，提升了商家的利润率。
图2示出了根据本公开另一个实施例的智能券的发放方法的流程示意图。如图2所示，该方法包括以下步骤：
步骤S200，当发券活动条件被触发时，判断触发发券活动条件的用户是否为新用户，若是，则执行步骤S201或步骤S202；若否，则执行步骤S206。
在本公开实施例中，判断触发发券活动条件的用户是否为新用户主要是为了确定是否能够获取到该用户的用户消费特征，进而确定是否能够根据用户消费特征确定优惠信息最终值。
一般情况下，对于一个新用户而言，这类用户可能没有线下支付信息，因此，也就无法获得表征用户日常消费情况的用户消费特征，为了能够保证商家的利益，需要结合其它数据计算优惠信息最终值，以根据优惠信息最终值创建券实例，发放给用户。对于一个新用户，可以借助相似用户的用户消费特征或者历史商家交易信息来计算优惠信息最终值。
对于一个老用户而言，可以获取到表征该用户日常消费情况的用户消费特征，因此，对于这类用户，根据用户消费特征来确定优惠信息最终值，然后根据优惠信息最终值创建智能券实例，充分保证商家的利益最大化，避免商家不必要的支出。
发券活动条件被触发时，能够获取到触发该发券活动条件的用户的用户标识，根据用户标识查询是否存在用户消费记录，若不存在用户消费记录，则认为触发发券活动条件的用户为新用户；若存在用户消费记录，则认为触发发券活动条件的用户不是新用户。
步骤S201，根据行业或地域的统一用户画像得到该用户的相似用户。
针对每个用户，可以根据用户数据，例如，年龄、性别、地址、偏好等，构造用户画像，在本公开实施例中，可以根据行业或地域等统一构造用户的用户画像，每个用户都对应有唯一的用户画像，这样，根据用户画像可以精准地确定该用户的相似用户，在确定两个用户相似的情况下，可以认定用户的用户消费特征也相似，因此，在确定了相似用户后，可以获取相似用户的用户消费特征，以便于根据相似用户的用户消费特征确定优惠信息最终值。
步骤S202，获取预设时间段内商家交易信息。
在判断出触发发券活动条件的用户是新用户的情况下，由于不存在该用户的用户消费特征，因此，需要结合其他数据来计算优惠信息最终值，这里可以依据商家的历史交易信息，具体地，获取预设时间段内商家交易信息，例如，获取90天内商家的交易信息，当然，预设时间段可以根据实际需要进行设定，这里不做具体限定。
步骤S203，根据商家交易信息计算交易均值。
通常情况下，商家交易信息中会包含有交易金额、单品信息、商家标识等信息，在本步骤中，通过统计预设时间段内商家的交易金额和交易数量，计算该商家在预设时间段内的交易均值。
步骤S204，获取携带有优惠信息范围值的智能券模板。
具体地，可以查询券模板库，得到商家提供的携带有优惠信息范围值的智能券模板。
在本公开实施例中，并不具体限定步骤S202-步骤S203与步骤S204的执行顺序，例如，可以先执行步骤S204中的方法再执行步骤S202-步骤S203，或者同时执行步骤S202和步骤S204。
步骤S205，根据交易均值及优惠信息范围值计算得到优惠信息最终值。
在确定了交易均值之后，可以根据交易均值及优惠信息范围值计算得到优惠信息最终值，下面以计算包含门槛金额和券面额的全场折扣券为例进行说明，获取商家所在行业的利润率，获取预设时间段内商家交易信息(例如，90天内的商家交易信息)，优惠信息范围值(例如，折扣率范围[a,b])，根据商家所在行业的利润率从折扣率范围[a,b]确定出商家利润率最大时的折扣率为x，计算商家的交易均值m；根据交易均值及优惠信息范围值计算得到优惠信息最终值，例如，得到优惠信息最终值为：门槛金额＝m/x，券面额＝m/x*(1-x)，举例说明，得到交易均值为80，商家利润率最大时的折扣率为0.8，得到门槛金额为100元，券面额为20元。
在本公开可选实施例中，还可以借助电商数据确定优惠信息最终值，例如，可以根据当前用户的城市定位与电商常用的收货地址是否相同的判断结果来确定优惠信息最终值，若当前用户的城市定位与电商常用的收货地址不同，可以认为用户当前正在出差，而通常情况下，单位对于出差的员工都会有相应的报销政策，因此，对于出差用户可以给予用户较低的优惠。
步骤S206，查询用户消费特征库，得到触发发券活动条件的用户或相似用户的用户消费特征。
用户消费特征库预先存储了大量用户的用户消费特征，具体地，存储了用户标识与用户消费特征的对应关系，其中，用户消费特征体现了用户日常消费情况，例如，优惠敏感特征、消费水平特征、消费人数特征、购买习惯特征(例如，单品的常规单次购买数量)等，不同用户的用户消费特征不同。
发券活动条件被触发时，能够获得触发发券活动条件的用户的用户标识，若触发发券活动条件的用户不是新用户，那么可以根据用户标识查询用户消费特征库，得到与该用户标识对应的用户消费特征；若触发发券活动条件的用户是新用户，在步骤S201中确定了该用户的相似用户，则可以根据相似用户的用户标识查询用户消费特征库，得到与相似用户对应的用户消费特征。
针对于触发发券活动条件的用户是新用户的情况，可以根据相似用户的用户消费特征确定优惠信息的最终值。
步骤S207，查询券模板库，得到商家提供的携带有优惠信息范围值的智能券模板。
券模板库存储了大量商家所设定的智能券模板，具体地，券模板库预先存储了商家标识与智能券模板的对应关系，因此，用户针对商家产生用户特定行为而触发了发券活动条件时，可以获取到商家标识，因此，根据商家标识查询券模板库能够快速查找到与商家标识对应的智能券模板，从而得到智能券模板中所记录的优惠信息范围值。
例如，商家A设定了智能券模板如下：所发放智能券实例的券类型为折扣券，有效期为2018年3月23日-2018年3月31日，使用说明：到店支付使用、不可与单品优惠叠加使用，折扣率范围(优惠信息范围值)为[a,b]，在券模板库中预先存储了商家A的商家标识及智能券模板，根据商家A的商家标识可以查找到对应的智能券模板，得到优惠信息范围值为[a,b]。
步骤S208，将用户消费特征、优惠信息范围值输入至预设计算模型，得到优惠信息最终值。
预设计算模型是基于大量的样本训练得到的，例如，可以采用决策树模型或深度学习模型进行训练，其中，样本形式为(用户消费特征、优惠信息范围值，优惠信息最终值)，因此，经过训练得到的预设计算模型是关于输入为用户消费特征、优惠信息范围值，输出为优惠信息最终值的模型，在获取到一用户的用户消费特征及商家对应的优惠信息范围值之后，将其输入至预设计算模型，即可得到为该用户生成智能券实例时所使用的优惠信息最终值。
当然，预设计算模型训练时，样本形式并不仅限于此，例如，除了上述训练参数，还可能包含预设时间段内商家的交易信息、历史不同行业活动折扣率/利润率，这里仅是举例说明。
另外，本公开实施例中的预设计算模型并不唯一，服务端可以依据用户消费特征及用户消费特征对应的特征值选择合适的预设计算模型。
下面以计算包含门槛金额和券面额的全场折扣券为例进行说明，获取商家所在行业的利润率，获取预设时间段内商家交易信息(例如，90天内的商家交易信息)，获取用户消费特征(例如，用户上次消费金额)、优惠信息范围值(例如，折扣率范围[a,b])，将上述信息输入至预设计算模型，预设计算模型根据上述信息进行计算得到优惠信息最终值，其中，预设计算模型 可以进行如下计算：根据商家所在行业的利润率从折扣率范围[a,b]确定出商家利润率最大时的折扣率为x，对交易信息进行聚类处理，得到多个消费人群，针对每个消费人群，确定消费人群的消费上限、消费下线、消费均值；根据用户上次消费金额确定用户所属消费人群及该消费人群对应的消费均值m；根据确定的消费均值及优惠信息范围值计算得到优惠信息最终值，例如，得到优惠信息最终值为：门槛金额＝m/x，券面额＝m/x*(1-x)，举例说明，得到消费均值为60，商家利润率最大时的折扣率为0.8，得到门槛金额为75元，券面额为15元。
步骤S209，根据优惠信息最终值创建智能券实例，返回智能券实例。
智能券实例是用户享受商家所给予的特定优惠的凭证，在得到优惠信息最终值后，可以根据优惠信息最终值来创建智能券实例，其中，智能券实例是真实的用户可以使用的电子券，在用户使用后将被核销的电子券，在创建智能券实例后，将智能券实例发送给用户，如此，完成智能券发放，通过灵活设计生成智能券实例的优惠信息最终值，实现灵活的向用户发券，例如，对于那些对优惠不敏感的用户，可以不向用户发放智能券；再例如，对于人均消费10元的餐厅，对于两个结伴用户可以提供一张门槛金额为25元的全场满减券，从而提升商家的利润率。
根据本公开上述实施例提供的方法，针对触发发券活动条件的用户，若判断出触发发券条件的用户不是新用户，可以利用该触发发券活动条件用户的用户消费特征确定优惠信息最终值，若判断出触发发券条件的用户是用户，则可以通过获取该用户的相似用户的用户消费特征或通过确定商家在预设时间段内的交易均值确定优惠信息最终值，根据所确定的优惠信息最终值帮助商家设计智能券实例的具体限制，例如，门槛和面额(折扣等)，通过灵活设置智能券实例的具体限制，有助于商家达到最优的营销效果，减少商家不必要的支出，提升了商家利润率，另外，由于灵活设计智能券实例的具体限制，还能够达到促进用户消费的目的，进一步增加商家收益。
图3示出了根据本公开又一个实施例的利用智能券的核销方法的流程示意图。如图3所示，该方法包括以下步骤：
步骤S300，获取用于触发发券活动条件的针对商家的用户特定行为，以 供服务端根据智能券的发放方法创建并返回智能券实例。
用户在客户端侧针对商家所产生的用户特定行为视为用户触发了发券活动条件，因此，需要实时监测是否产生用户特定行为，若监测到针对商家产生了相应的用户特定行为，则获取对应的用户特定行为，其中，用户特定行为具体可以为用户打开商家的店铺主页浏览店铺内商品或者打开商家的店铺主页中的购物车或者触发领取按钮等行为，这里仅是举例说明，其它能够视为触发了发券活动条件的用户特定行为均属于本公开的保护范围。
在获取到用户特定行为之后，客户端将该用户特定行为转发给服务端，服务端根据图1或图2所示实施例中的方法创建并返回智能券实例。
步骤S301，依据服务端返回的券实例对用户支付行为进行结算处理。
服务端在创建智能券实例后，将智能券实例返回给客户端，当用户在进行付款时，可以使用相应的智能券实例进行结算，具体地，根据智能券实例中所记载的优惠信息给予用户相应的优惠。
图4示出了根据本公开一个实施例的智能券的发放装置的结构示意图。如图4所示，该装置包括：第一获取模块400、确定模块410、创建模块420。
第一获取模块400，适于当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征。
确定模块410，适于根据用户消费特征，从优惠信息范围值中确定优惠信息最终值。
创建模块420，适于根据优惠信息最终值创建智能券实例，返回智能券实例。
可选地，第一获取模块400进一步适于：查询券模板库，得到商家提供的智能券模板；
查询用户消费特征库，得到用户消费特征。
可选地，确定模块410进一步适于：将用户消费特征、优惠信息范围值输入至预设计算模型，得到优惠信息最终值。
可选地，预设计算模型具体为决策树模型或深度学习模型。
可选地，用户消费特征包括以下特征中的一种或多种：优惠敏感特征、消费水平特征、消费人数特征、购买习惯特征。
可选地，装置还包括：判断模块430，适于判断触发发券活动条件的用户是否为新用户；
第一获取模块400进一步适于：若触发发券活动条件的用户不是新用户，则获取触发发券活动条件的用户的用户消费特征。
可选地，第一获取模块400进一步适于：若触发发券活动条件的用户是新用户，则根据行业或地域的统一用户画像获取相似用户的用户消费特征。
可选地，装置还包括：第二获取模块440，适于若判断出触发发券活动条件的用户是新用户，则获取预设时间段内商家交易信息；
第一计算模块450，适于根据商家交易信息计算交易均值；
第三获取模块460，适于获取携带有优惠信息范围值的智能券模板；
第二计算模块470，适于根据交易均值及优惠信息范围值计算得到优惠信息最终值。
根据本公开上述实施例提供的装置，当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征；根据用户消费特征，从优惠信息范围值中确定优惠信息最终值；根据优惠信息最终值创建智能券实例，返回智能券实例。基于本公开实施例提供的方案，根据用户消费特征计算优惠信息最终值，实现了灵活的设计券实例的优惠力度和/或使用门槛，能够使商家达到最优的营销效果，减少商家不必要的营销支出，进一步促进了用户消费，提升了商家的利润率。
图5示出了根据本公开一个实施例的利用智能券的核销装置的结构示意图。如图5所示，该装置包括：获取模块500、结算模块510。
获取模块500，适于获取用于触发发券活动条件的针对商家的用户特定行为，以供智能券的发放装置创建并返回智能券实例；
结算模块510，适于依据智能券的发放装置返回的智能券实例对用户支付行为进行结算处理。
本公开实施例还提供了一种非易失性计算机可读存储介质，该非易失性 计算机可读存储介质存储有至少一可执行指令，该计算机可执行指令可执行上述任意方法实施例中的方法。
图6示出了根据本公开一个实施例的一种计算设备的结构示意图，本公开具体实施例并不对计算设备的具体实现做限定。
如图6所示，该计算设备可以包括：处理器(processor)602、通信接口(Communications Interface)604、存储器(memory)606、以及通信总线608。
其中：
处理器602、通信接口604、以及存储器606通过通信总线608完成相互间的通信。
通信接口604，用于与其它设备比如客户端或其它服务器等的网元通信。
处理器602，用于执行程序610，具体可以执行上述方法实施例中的相关步骤。
具体地，程序610可以包括程序代码，该程序代码包括计算机操作指令。
处理器602可能是中央处理器CPU，或者是特定集成电路ASIC(Application Specific Integrated Circuit)，或者是被配置成实施本公开实施例的一个或多个集成电路。计算设备包括的一个或多个处理器，可以是同一类型的处理器，如一个或多个CPU；也可以是不同类型的处理器，如一个或多个CPU以及一个或多个ASIC。
存储器606，用于存放程序610。存储器606可能包含高速RAM存储器，也可能还包括非易失性存储器(non-volatile memory)，例如至少一个磁盘存储器。
程序610具体可以用于使得处理器602执行上述任意方法实施例中的方法。程序610中各步骤的具体实现可以参见上述方法实施例中的相应步骤和单元中对应的描述，在此不赘述。所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的设备和模块的具体工作过程，可以参考前述方法实施例中的对应过程描述，在此不再赘述。
在此提供的算法和显示不与任何特定计算机、虚拟***或者其它设备固有相关。各种通用***也可以与基于在此的示教一起使用。根据上面的描 述，构造这类***所要求的结构是显而易见的。此外，本公开也不针对任何特定编程语言。应当明白，可以利用各种编程语言实现在此描述的本公开的内容，并且上面对特定语言所做的描述是为了披露本公开的最佳实施方式。
在此处所提供的说明书中，说明了大量具体细节。然而，能够理解，本公开的实施例可以在没有这些具体细节的情况下实践。在一些实例中，并未详细示出公知的方法、结构和技术，以便不模糊对本说明书的理解。
类似地，应当理解，为了精简本公开并帮助理解各个公开方面中的一个或多个，在上面对本公开的示例性实施例的描述中，本公开的各个特征有时被一起分组到单个实施例、图、或者对其的描述中。然而，并不应将该公开的方法解释成反映如下意图：即所要求保护的本公开要求比在每个权利要求中所明确记载的特征更多的特征。更确切地说，如下面的权利要求书所反映的那样，公开方面在于少于前面公开的单个实施例的所有特征。因此，遵循具体实施方式的权利要求书由此明确地并入该具体实施方式，其中每个权利要求本身都作为本公开的单独实施例。
本领域那些技术人员可以理解，可以对实施例中的设备中的模块进行自适应性地改变并且把它们设置在与该实施例不同的一个或多个设备中。可以把实施例中的模块或单元或组件组合成一个模块或单元或组件，以及此外可以把它们分成多个子模块或子单元或子组件。除了这样的特征和/或过程或者单元中的至少一些是相互排斥之外，可以采用任何组合对本说明书(包括伴随的权利要求、摘要和附图)中公开的所有特征以及如此公开的任何方法或者设备的所有过程或单元进行组合。除非另外明确陈述，本说明书(包括伴随的权利要求、摘要和附图)中公开的每个特征可以由提供相同、等同或相似目的的替代特征来代替。
此外，本领域的技术人员能够理解，尽管在此所述的一些实施例包括其它实施例中所包括的某些特征而不是其它特征，但是不同实施例的特征的组合意味着处于本公开的范围之内并且形成不同的实施例。例如，在下面的权利要求书中，所要求保护的实施例的任意之一都可以以任意的组合方式来使用。
本公开的各个部件实施例可以以硬件实现，或者以在一个或者多个处理 器上运行的软件模块实现，或者以它们的组合实现。本领域的技术人员应当理解，可以在实践中使用微处理器或者数字信号处理器(DSP)来实现根据本公开实施例的智能券的发放设备中的一些或者全部部件的一些或者全部功能。本公开还可以实现为用于执行这里所描述的方法的一部分或者全部的设备或者装置程序(例如，计算机程序和计算机程序产品)。这样的实现本公开的程序可以存储在计算机可读介质上，或者可以具有一个或者多个信号的形式。这样的信号可以从因特网网站上下载得到，或者在载体信号上提供，或者以任何其他形式提供。
应该注意的是上述实施例对本公开进行说明而不是对本公开进行限制，并且本领域技术人员在不脱离所附权利要求的范围的情况下可设计出替换实施例。在权利要求中，不应将位于括号之间的任何参考符号构造成对权利要求的限制。单词“包含”不排除存在未列在权利要求中的元件或步骤。位于元件之前的单词“一”或“一个”不排除存在多个这样的元件。本公开可以借助于包括有若干不同元件的硬件以及借助于适当编程的计算机来实现。在列举了若干装置的单元权利要求中，这些装置中的若干个可以是通过同一个硬件项来具体体现。单词第一、第二、以及第三等的使用不表示任何顺序。可将这些单词解释为名称。

Claims (24)

  1. 一种智能券的发放方法，包括：
    当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征；
    根据所述用户消费特征，从优惠信息范围值中确定优惠信息最终值；
    根据优惠信息最终值创建智能券实例，返回所述智能券实例。
  2. 根据权利要求1所述的方法，其中，所述获取携带有优惠信息范围值的智能券模板和用户消费特征进一步包括：
    查询券模板库，得到商家提供的智能券模板；
    查询用户消费特征库，得到用户消费特征。
  3. 根据权利要求1或2所述的方法，其中，所述根据所述用户消费特征，从优惠信息范围值中确定优惠信息最终值进一步包括：
    将用户消费特征、优惠信息范围值输入至预设计算模型，得到优惠信息最终值。
  4. 根据权利要求3所述的方法，其中，所述预设计算模型具体为决策树模型或深度学习模型。
  5. 根据权利要求1-4任一项所述的方法，其中，所述用户消费特征包括以下特征中的一种或多种：优惠敏感特征、消费水平特征、消费人数特征、购买习惯特征。
  6. 根据权利要求1-5任一项所述的方法，其中，当发券活动条件被触发时，所述方法还包括：判断触发发券活动条件的用户是否为新用户；
    所述获取用户消费特征进一步包括：
    若所述触发发券活动条件的用户不是新用户，则获取触发发券活动条件的用户的用户消费特征。
  7. 根据权利要求6所述的方法，其中，所述获取用户消费特征进一步包括：
    若所述触发发券活动条件的用户是新用户，则根据行业或地域的统一用户画像获取相似用户的用户消费特征。
  8. 根据权利要求6所述的方法，其中，所述方法还包括：若判断出触发发券活动条件的用户是新用户，则获取预设时间段内商家交易信息；
    根据所述商家交易信息计算交易均值；
    获取携带有优惠信息范围值的智能券模板；
    根据所述交易均值及优惠信息范围值计算得到优惠信息最终值。
  9. 一种利用智能券的核销方法，包括：
    获取用于触发发券活动条件的针对商家的用户特定行为，以供服务端根据权利要求1-8任一项所述的方法创建并返回智能券实例；
    依据服务端返回的智能券实例对用户支付行为进行结算处理。
  10. 一种智能券的发放装置，包括：
    第一获取模块，适于当发券活动条件被触发时，获取携带有优惠信息范围值的智能券模板和用户消费特征；
    确定模块，适于根据所述用户消费特征，从优惠信息范围值中确定优惠信息最终值；
    创建模块，适于根据优惠信息最终值创建智能券实例，返回所述智能券实例。
  11. 根据权利要求10所述的装置，其中，所述第一获取模块进一步适于：
    查询券模板库，得到商家提供的智能券模板；
    查询用户消费特征库，得到用户消费特征。
  12. 根据权利要求10或11所述的装置，其中，所述确定模块进一步适于：将用户消费特征、优惠信息范围值输入至预设计算模型，得到优惠信息最终值。
  13. 根据权利要求12所述的装置，其中，所述预设计算模型具体为决策树模型或深度学习模型。
  14. 根据权利要求10-13任一项所述的装置，其中，所述用户消费特征包括以下特征中的一种或多种：优惠敏感特征、消费水平特征、消费人数特征、购买习惯特征。
  15. 根据权利要求10所述的装置，其中，所述装置还包括：判断模块，适于判断触发发券活动条件的用户是否为新用户；
    所述第一获取模块进一步适于：若所述触发发券活动条件的用户不是新用户，则获取触发发券活动条件的用户的用户消费特征。
  16. 根据权利要求15所述的装置，其中，所述第一获取模块进一步适于：若所述触发发券活动条件的用户是新用户，则根据行业或地域的统一用户画像获取相似用户的用户消费特征。
  17. 根据权利要求15所述的装置，其中，所述装置还包括：第二获取模块，适于若判断出触发发券活动条件的用户是新用户，则获取预设时间段内商家交易信息；
    第一计算模块，适于根据所述商家交易信息计算交易均值；
    第三获取模块，适于获取携带有优惠信息范围值的智能券模板；
    第二计算模块，适于根据所述交易均值及优惠信息范围值计算得到优惠信息最终值。
  18. 一种利用智能券的核销装置，包括：
    获取模块，适于获取用于触发发券活动条件的针对商家的用户特定行为，以供权利要求10-17任一项所述的装置创建并返回智能券实例；
    结算模块，适于依据智能券的发放装置返回的智能券实例对用户支付行为进行结算处理。
  19. 一种计算设备，包括：处理器、存储器、通信接口和通信总线，所述处理器、所述存储器和所述通信接口通过所述通信总线完成相互间的通信；
    所述存储器用于存放至少一可执行指令，所述可执行指令使所述处理器执行如权利要求1-8中任一项所述的智能券的发放方法对应的操作。
  20. 一种非易失性计算机可读存储介质，所述非易失性计算机可读存储介质中存储有至少一可执行指令，所述可执行指令使处理器执行如权利要求1-8中任一项所述的智能券的发放方法对应的操作。
  21. 一种计算机程序产品，其中，所述计算机程序产品包括存储在非易失性计算机存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，使所述计算机执行如权利要求1-8中任一项所述的智能券的发放方法对应的操作。
  22. 一种计算设备，包括：处理器、存储器、通信接口和通信总线，所述处理器、所述存储器和所述通信接口通过所述通信总线完成相互间的通信；
    所述存储器用于存放至少一可执行指令，所述可执行指令使所述处理器执行如权利要求9所述的利用智能券的核销方法对应的操作。
  23. 一种非易失性计算机可读存储介质，所述非易失性计算机可读存储介质中存储有至少一可执行指令，所述可执行指令使处理器执行如权利要求9所述的利用智能券的核销方法对应的操作。
  24. 一种计算机程序产品，其中，所述计算机程序产品包括存储在非易失性计算机存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，使所述计算机执行如权利要求9中所述的利用智能券的核销方法对应的操作。
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