WO2017114183A1 - 一种业务处理方法和装置 - Google Patents

一种业务处理方法和装置 Download PDF

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Publication number
WO2017114183A1
WO2017114183A1 PCT/CN2016/110317 CN2016110317W WO2017114183A1 WO 2017114183 A1 WO2017114183 A1 WO 2017114183A1 CN 2016110317 W CN2016110317 W CN 2016110317W WO 2017114183 A1 WO2017114183 A1 WO 2017114183A1
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WIPO (PCT)
Prior art keywords
supplier
combination
recommendation index
index
user
Prior art date
Application number
PCT/CN2016/110317
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English (en)
French (fr)
Inventor
孙剑
Original Assignee
阿里巴巴集团控股有限公司
孙剑
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 阿里巴巴集团控股有限公司, 孙剑 filed Critical 阿里巴巴集团控股有限公司
Priority to KR1020187021906A priority Critical patent/KR102151330B1/ko
Priority to JP2018534614A priority patent/JP6666448B2/ja
Priority to SG11201805537WA priority patent/SG11201805537WA/en
Priority to MYPI2018001143A priority patent/MY183138A/en
Priority to AU2016382742A priority patent/AU2016382742A1/en
Publication of WO2017114183A1 publication Critical patent/WO2017114183A1/zh
Priority to US16/008,999 priority patent/US20180293545A1/en
Priority to PH12018501380A priority patent/PH12018501380A1/en
Priority to US16/722,400 priority patent/US20200126038A1/en

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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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0834—Choice of carriers
    • G06Q10/08345—Pricing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • 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
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0253—During e-commerce, i.e. online transactions
    • 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
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G06Q30/0271—Personalized advertisement
    • 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
    • G06Q30/0282—Rating or review of business operators or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0611—Request for offers or quotes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0623—Item investigation
    • G06Q30/0625—Directed, with specific intent or strategy
    • G06Q30/0629—Directed, with specific intent or strategy for generating comparisons
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0641—Shopping interfaces

Definitions

  • the present application relates to the field of network technologies, and in particular, to a service processing method and apparatus.
  • the present application provides a service processing method and apparatus.
  • a business processing method comprising:
  • the supplier combination that recommends the index to meet the preset conditions is recommended to the user.
  • the determining a vendor combination that matches the product identifier comprises:
  • a supplier combination that matches the item identification is determined.
  • the recommendation index includes: a price recommendation index and an evaluation recommendation index;
  • the recommending the supplier combination that satisfies the preset condition to the user including:
  • the first supplier combination in which the price recommendation index satisfies the first condition and the second supplier combination in which the evaluation recommendation index satisfies the second condition are recommended to the user.
  • the determining the recommendation index of each supplier combination includes:
  • the degree of difference between the quoted amount of the supplier combination and the average amount is calculated as the price recommendation index of the supplier combination.
  • the determining the recommendation index of each supplier combination includes:
  • a service processing device comprising:
  • the instruction receiving unit receives an item purchase instruction input by the user, and the item purchase instruction includes one or more item identifiers;
  • a combination determining unit determining a supplier combination that matches the product identifier, the supplier combination including one or more suppliers
  • An index determining unit that determines a recommendation index for each supplier combination
  • the recommendation unit is combined, and the supplier combination whose recommendation index meets the preset condition is recommended to the user.
  • the combination determining unit specifically determines a supplier set whose distance from the delivery address is within a preset distance; and in the set of suppliers, determines a supplier combination that matches the product identifier.
  • the recommendation index includes: a price recommendation index and an evaluation recommendation index;
  • the combination recommendation unit specifically recommends, to the user, a first supplier combination in which the price recommendation index satisfies the first condition and a second supplier combination in which the evaluation recommendation index satisfies the second condition.
  • the index determining unit Specifically, for the commodities corresponding to all the product identifiers in the commodity purchase instruction, the degree of difference between the quoted amount of the supplier combination and the average amount is calculated as the price recommendation index of the supplier combination.
  • the index determining unit specifically acquires a commodity evaluation score of the supplier combination for the commodity corresponding to each commodity identifier in the commodity purchase instruction; And calculating, according to the commodity evaluation score, an average evaluation score of the commodity combination for all commodities in the commodity purchase instruction as the evaluation recommendation index of the supplier combination.
  • the server of the present application can determine the supplier combination that matches the product identifier in the commodity purchase instruction for the user, and recommend the supplier combination that the recommendation index meets the preset condition to the user for the user to select.
  • the user can select the product, and the server recommends the supplier combination of matching products for the user, without the user switching between multiple suppliers, thereby improving the efficiency of the network purchase and saving the processing resources of the user terminal. .
  • FIG. 1 is a schematic flowchart diagram of a service processing method according to an exemplary embodiment of the present application.
  • FIG. 2 is a schematic flowchart diagram of another service processing method according to an exemplary embodiment of the present application.
  • FIG. 3 is a schematic structural diagram of a service processing apparatus according to an exemplary embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of a service processing apparatus according to an exemplary embodiment of the present application.
  • first, second, third, etc. may be used to describe various information in this application, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other.
  • first information may also be referred to as the second information without departing from the scope of the present application.
  • second information may also be referred to as the first information.
  • word "if” as used herein may be interpreted as "when” or “when” or “in response to a determination.”
  • FIG. 1 is a schematic flowchart diagram of a service processing method according to an exemplary embodiment of the present application.
  • the service processing method may be applied to a server, and the server may be a server or a server cluster of a network shopping platform.
  • the service processing method may include the following steps:
  • Step 101 Receive a merchandise purchase instruction input by a user, where the merchandise purchase instruction includes one or more merchandise identifiers.
  • the user can view a list of products provided by the online shopping platform, and input an item purchase instruction based on the item list.
  • the merchandise list includes merchandise provided by each vendor, for example, the supplier A provides the merchandise A1 and A2, and the supplier B provides the merchandise B1 and B2, and the merchandise list includes the merchandise A1, A2, and B1. And B2.
  • the user can purchase the product based on the product list, and input the product purchase instruction after the selection, the product purchase instruction includes the product identifier of the one or more products selected by the user, and the product identifier corresponds to the product identifier One product.
  • the commodity may include: clothing, furniture, etc. purchased through a network.
  • the conventional physical product may also include a product having a higher immediacy such as a dish, and the present application does not specifically limit this.
  • Step 102 Determine a supplier combination that matches the item identifier, and the supplier combination includes one or more suppliers.
  • the server may determine a vendor combination that matches the merchandise identifier. For example, the server may first determine the distance from the delivery address according to the user's delivery address. A set of suppliers consisting of all suppliers within the distance is set, and then a supplier combination matching the item identification is determined in the supplier set.
  • step 103 a recommendation index for each supplier combination is determined.
  • the server may determine a recommendation index of each preset combination, and the recommendation index may include: a price recommendation index, an evaluation recommendation index, and the like.
  • step 104 the supplier combination whose recommendation index meets the preset condition is recommended to the user.
  • the server may recommend the supplier combination that the recommendation index meets the preset condition to the user for the user to select.
  • the server of the present application can determine the supplier combination that matches the product identifier in the commodity purchase instruction for the user, and recommend the supplier combination that the recommendation index meets the preset condition to the user for the user to select.
  • the user can select the product, and the server recommends the supplier combination of matching products for the user, without the user switching between multiple suppliers, thereby improving the efficiency of the network purchase and saving the processing resources of the user terminal. .
  • FIG. 2 is a schematic flowchart diagram of another service processing method according to an exemplary embodiment of the present application.
  • the product is used as an example for description.
  • the product purchase instruction is an order instruction
  • the product identifier is a food label
  • the product list is a menu
  • the business processing method can be applied.
  • the server On the server side, the server may be a server or a server cluster of a network ordering platform.
  • the service processing method may include the following steps:
  • Step 201 Receive a order instruction input by a user, where the order order includes one or more menu identifiers.
  • the supplier of the food such as a restaurant or a restaurant
  • the supplier can be registered in the online ordering platform, and the supplier can upload the location information, the provided food, and the price of the food after the registration is successful.
  • the server can synthesize menus from various vendors to generate menus for users to order.
  • the server can determine the organization form of the menu according to related technologies, for example, the menu is divided into: Chinese food, western food, etc., for the Chinese food menu, it can also be divided into: cold dishes, hot dishes, staple foods, and the like.
  • the server may also organize the menu in other manners, and the present application does not specifically limit this.
  • the user may first view the menu provided by the server, then select the menu in the menu, and input the order instruction after the selection.
  • the ordering instruction includes a dish identifier of one or more dishes selected by the user, and the dish identifier corresponds to a single dish. For example, suppose that the user selects the dishes “cold cucumber” and "boiled squid", the a la carte instruction includes a dish identification of "cold cucumber", such as: logo A, and the dish logo of "red braised squid". For example: logo B.
  • Step 202 Determine a supplier set that is within a preset distance from the delivery address.
  • the server may determine the set of suppliers according to the delivery address of the user's order, for example, the set of suppliers may include all suppliers within 3 km or 5 km from the delivery address. Specifically, the server may determine the set of vendors according to the delivery address and address information provided by each vendor at the time of registration.
  • the delivery address may be carried in the ordering instruction, and the server may determine the supply according to the delivery address carried in the order order after receiving the ordering instruction.
  • the delivery address may also be determined by the user before inputting the order order. For example, the user may select the delivery address after entering the network ordering platform, and the client sends the delivery address to the server, and the server may receive the delivery address. After the delivery address, the supplier set is determined.
  • the server first performs step 202, and then performs step 201, which is not specifically limited in this application.
  • Step 203 In the set of suppliers, determine a supplier combination that matches the menu identifier, where the supplier combination includes one or more suppliers.
  • the server may traverse each of the supplier combinations and then determine a supplier combination that matches the menu identification.
  • the server can choose first a supplier, then determining whether the supplier matches all the dish identifiers included in the order order, and if the supplier matches all the dish identifiers included in the order order, the server can determine the supplier as A supplier combination, that is, only one supplier is included in the supplier portfolio. If the supplier matches some of the dish identifications included in the order order, the server may select a supplier among the remaining suppliers that matches another part of the dish identification included in the order order to form a matching point.
  • the supplier combination of all the dish identifiers included in the dish instruction, that is, the supplier group includes multiple suppliers.
  • the dish identifications included in the a la carte instruction described above are taken as an example of the identification A and the identification B. It is assumed that the dishes provided by the supplier 1 include “cold cucumber” and “red braised squid”, and the server is It may be determined that the supplier 1 matches the identification A and the identification B included in the order order, and determines that the supplier 1 is a supplier combination.
  • the server can determine that the supplier 2 matches the identifier A, but does not match the identifier B, the server can be Among the other suppliers in the supplier set, the supplier matching the identification B is selected, that is, the supplier who provides the "boiled squid", such as: supplier 3, then the supplier 3 and the supplier 2 are matching order instructions. Another supplier combination for all dish identifiers.
  • the maximum number of suppliers that a supplier combination can include can be preset. Specifically, a fixed maximum number of suppliers can be set, for example, 3, that is, a maximum of 3 suppliers per supplier combination . It is also possible to set the maximum number of suppliers that dynamically change according to the number of dish identifications included in the ordering instruction. For example, when the number of dish identifications included in the ordering instruction is less than or equal to 5, the maximum supply may be set. The number of quotients is set to 3, but when the number of the dish identifications included in the ordering instruction is greater than 5 and less than 10, the maximum number of suppliers may be set to 4, etc., and the present application does not specifically limit this.
  • the server may determine one or more vendor combinations in the set of vendors, and each vendor combination includes one or more vendors.
  • step 204 a price recommendation index for each supplier combination and an evaluation recommendation index are determined.
  • the server may sequentially determine a price recommendation index for each supplier combination and an evaluation recommendation index.
  • the price recommendation index is used to measure the price of the supplier portfolio.
  • the server may calculate the quotation amount of the supplier combination according to the menu corresponding to all the food items in the order order, and the server also calculates the average amount of the dishes corresponding to all the food items in the order order, and then calculates the The degree of difference between the quoted amount and the average amount, and the degree of difference is used as the price recommendation index.
  • the dish identifications included in the a la carte instruction described above are taken as the identification A and the identification B, that is, the user selects two dishes of “cold cucumber” and “boiled squid” as an example, and the supplier combination is as described above.
  • Supplier 2 and supplier 3 wherein supplier 2 provides “cold cucumber” and supplier 3 provides “boiled squid”, then the supplier's quotation amount is the supplier's 2 quotation and supply of "cold cucumber”
  • the sum of the quotations of the "red braised squid" of the quotient 3 represents the quotation amount by M.
  • the server will also calculate the average amount of “cold cucumber” and “red braised squid”.
  • the server can obtain the quotation of “cold cucumber” from all suppliers in the online ordering platform, and then calculate the average value of the “cold cucumber” quotation.
  • the server will also calculate the average value of the "boiled squid” offer, and add the two averages to get the average amount of "cold cucumber” and "boiled squid".
  • the average amount is represented by P.
  • the difference between the quotation amount and the average amount may be a difference between M and P, or may be a quotient of M and P, which is not specifically limited in this application.
  • the evaluation recommendation index reflects the comments of other users on the dishes of the matching dish identification provided by the supplier combination.
  • the server may first obtain the dish evaluation score of the supplier combination for each dish in the order order, and then calculate an average evaluation score of all the dishes in the order order, as The evaluation recommendation index of the supplier combination.
  • the dish identifications included in the a la carte instruction described above are taken as the identification A and the identification B, that is, the user selects two dishes of “cold cucumber” and “boiled squid” as an example, and the supplier combination is as described above.
  • Supplier 2 and supplier 3 where supplier 2 provides “cold cucumber” and supplier 3 provides “red braised squid”, the server can obtain the evaluation score of "cold cucumber” provided by supplier 2, such as: X1, obtain the evaluation score of the "red braised squid” provided by the supplier 3, for example: X2, and then add the food evaluation scores of the two dishes and divide by the number of dishes to obtain the average evaluation score, that is, The average evaluation score is equal to (X1+X2)/2.
  • Step 205 recommend the first supplier combination that satisfies the first condition of the price recommendation index and the second supplier combination that evaluates the recommendation index to satisfy the second condition to the user.
  • the server may satisfy the first supplier combination that the price recommendation index satisfies the first condition and the second evaluation evaluation index meets the second condition.
  • the supplier combination is recommended to the user.
  • the first condition and the second condition may be set in advance by a developer.
  • the first supplier combination in which the price recommendation index satisfies the first condition is generally a preferred supplier combination, and the evaluation recommendation index satisfies the second supply of the second condition.
  • the business combination is usually a better evaluated supplier portfolio.
  • the first condition may be set to a price recommendation index greater than 1, or the first condition may be set to be ranked in the first N1 position, etc., according to the order of the price evaluation index from high to low, wherein N1 is a natural number greater than or equal to 1, such that the first supplier that satisfies the first condition is combined into a lower-priced supplier combination.
  • the second condition is set to be the highest evaluation recommendation index, or in the order of the evaluation recommendation index from high to low, ranked in the first N2 position, etc., and N2 is greater than 1
  • the natural number is such that the second supplier meeting the second condition is combined to evaluate the best supplier combination.
  • the server may combine the first supplier and The second vendor combination is recommended to the user.
  • the server determines all the supplier combinations that match the food identification, and determines the first supplier combination and the second supplier combination among the all supplier combinations, and then When the all suppliers are combined and returned to the user, the first supplier combination and the second supplier combination are recommended as a preferred supplier combination to the user.
  • the server of the present application can determine the supplier combination that matches the menu identification in the order instruction for the user, and recommend the supplier combination whose recommendation index meets the preset condition to the user for the user to select.
  • the user can select the menu, and the server recommends the supplier combination of matching dishes for the user, without the user switching between multiple suppliers, thereby improving the efficiency of the network ordering and saving the processing resources of the user terminal.
  • Xiao Ming uses a mobile phone to open a third-party ordering platform, choose Hangbang dishes in the menu provided by the platform, and In the list of dishes, choose Xihu vinegar, called chicken, Song carp and other Hang Bang dishes.
  • Xiao Ming can also choose Western food in the menu provided by the platform, and choose seafood assorted pizza, Caesar salad and other Western styles in the list of western food.
  • Xiao Ming can input the order order, and the platform can determine the supplier combination of all the dishes selected by Xiao Ming according to the order, and determine the recommendation index of each supplier combination. Assume that the supplier group whose recommendation index meets the preset conditions is “outside building” and “Pizza”, the platform can recommend “outside building” and “Pizza” to Xiao Ming, Xiao Ming can place an order through the order option. The whole process, no need to switch between a number of restaurants, improve the efficiency of ordering.
  • the third-party ordering platform may implement the recommendation process of the above-mentioned supplier combination by using the service processing solution provided in the foregoing method embodiment shown in FIG. 1 or FIG. 2, which is not repeatedly described herein.
  • the present application also provides an embodiment of the service processing apparatus.
  • Embodiments of the service processing apparatus of the present application can be applied to a server.
  • the device embodiment may be implemented by software, or may be implemented by hardware or a combination of hardware and software. Taking the software implementation as an example, as a logical means, the processor of the server on which the server is located reads the corresponding computer program instructions in the non-volatile memory into the memory.
  • FIG. 3 a hardware structure diagram of the server side of the service processing device of the present application, except for the processor, the memory, the network interface, and the nonvolatile memory shown in FIG.
  • the server in which the device is located in the embodiment may also include other hardware according to the actual function of the server, and details are not described herein.
  • FIG. 4 is a schematic structural diagram of a service processing apparatus according to an exemplary embodiment of the present application.
  • the service processing apparatus 300 may be applied to the server shown in FIG. 3, and includes an instruction receiving unit 301, a combination determining unit 302, an index determining unit 303, and a combination recommending unit 304.
  • the instruction receiving unit 301 receives a product purchase instruction input by a user, and the commodity purchase instruction includes one or more product identifiers;
  • the combination determining unit 302 determines a supplier combination that matches the product identifier, and the supplier combination includes one or more suppliers;
  • the index determining unit 303 determines a recommendation index of each supplier combination
  • the combination recommendation unit 304 recommends the supplier combination that the recommendation index meets the preset condition to the user.
  • the combination determining unit 302 specifically determines a supplier set whose distance from the delivery address is within a preset distance; and in the set of suppliers, determines a supplier combination that matches the product identifier.
  • the recommendation index includes: a price recommendation index and an evaluation recommendation index;
  • the combination recommendation unit 304 specifically recommends, to the user, a first supplier combination in which the price recommendation index satisfies the first condition and a second supplier combination in which the evaluation recommendation index satisfies the second condition.
  • the index determining unit 303 is configured to calculate a quotation amount and an average amount of the supplier combination for the commodities corresponding to all the commodity identifiers in the commodity purchase instruction. The degree of difference is used as the price recommendation index for the supplier portfolio.
  • the index determining unit 303 obtains a product evaluation score of the supplier combination, specifically for an item corresponding to each product identifier in the product purchase instruction. Calculating the supply based on the commodity evaluation score The quotient combines the average rating scores of all the commodities in the merchandise purchase instruction as the evaluation recommendation index of the supplier combination.
  • the device embodiment since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment.
  • the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the present application. Those of ordinary skill in the art can understand and implement without any creative effort.

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Abstract

本申请提供一种业务处理方法和装置。所述方法包括：接收用户输入的商品选购指令，所述商品选购指令中包括有一个或者多个商品标识；确定匹配所述商品标识的供应商组合，所述供应商组合中包括一个或者多个供应商；确定每个供应商组合的推荐指数；将推荐指数满足预设条件的供应商组合推荐给用户。本申请提供的网络选购方案，用户选择商品，由服务端为用户推荐匹配商品的供应商组合，无需用户在多个供应商之间切换，提高了网络选购的效率，同时节省用户终端的处理资源。

Description

一种业务处理方法和装置 技术领域
本申请涉及网络技术领域，尤其涉及一种业务处理方法和装置。
背景技术
随着互联网技术的快速发展，人们可以通过互联网实现越来越多的业务处理，比如：网上购物、网上订餐等。
目前，用户在网上订餐时，都是基于餐馆进行订餐，比如：用户通常要先选择目标餐馆，然后在该目标餐馆中选择菜品以进行下单。然而，在这样的实现方式中，用户在订餐时，往往需要在不同的餐馆之间频繁切换，较为繁琐，降低订餐的效率，同时还会浪费终端的处理资源。
发明内容
有鉴于此，本申请提供一种业务处理方法和装置。
具体地，本申请是通过如下技术方案实现的：
一种业务处理方法，所述方法包括：
接收用户输入的商品选购指令，所述商品选购指令中包括有一个或者多个商品标识；
确定匹配所述商品标识的供应商组合，所述供应商组合中包括一个或者多个供应商；
确定每个供应商组合的推荐指数；
将推荐指数满足预设条件的供应商组合推荐给用户。
可选的，所述确定匹配所述商品标识的供应商组合，包括：
确定与配送地址的距离在预设距离内的供应商集合；
在所述供应商集合中，确定匹配所述商品标识的供应商组合。
可选的，所述推荐指数包括：价格推荐指数以及评价推荐指数；
所述将推荐指数满足预设条件的供应商组合推荐给用户，包括：
将价格推荐指数满足第一条件的第一供应商组合以及评价推荐指数满足第二条件的第二供应商组合推荐给用户。
可选的，当所述推荐指数为价格推荐指数时，所述确定每个供应商组合的推荐指数，包括：
针对所述商品选购指令中所有商品标识对应的商品，计算所述供应商组合的报价金额与平均金额的差异度，以作为所述供应商组合的价格推荐指数。
可选的，当所述推荐指数为评价推荐指数时，所述确定每个供应商组合的推荐指数，包括：
针对所述商品选购指令中每个商品标识对应的商品，获取所述供应商组合的商品评价分值；
根据所述商品评价分值，计算所述供应商组合针对所述商品选购指令中所有商品的平均评价分值，以作为所述供应商组合的评价推荐指数。
一种业务处理装置，所述装置包括：
指令接收单元，接收用户输入的商品选购指令，所述商品选购指令中包括有一个或者多个商品标识；
组合确定单元，确定匹配所述商品标识的供应商组合，所述供应商组合中包括一个或者多个供应商；
指数确定单元，确定每个供应商组合的推荐指数；
组合推荐单元，将推荐指数满足预设条件的供应商组合推荐给用户。
可选的，所述组合确定单元，具体地确定与配送地址的距离在预设距离内的供应商集合；在所述供应商集合中，确定匹配所述商品标识的供应商组合。
可选的，所述推荐指数包括：价格推荐指数以及评价推荐指数；
所述组合推荐单元，具体将价格推荐指数满足第一条件的第一供应商组合以及评价推荐指数满足第二条件的第二供应商组合推荐给用户。
可选的，当所述推荐指数为价格推荐指数时，所述指数确定单元， 具体针对所述商品选购指令中所有商品标识对应的商品，计算所述供应商组合的报价金额与平均金额的差异度，以作为所述供应商组合的价格推荐指数。
可选的，当所述推荐指数为评价推荐指数时，所述指数确定单元，具体针对所述商品选购指令中每个商品标识对应的商品，获取所述供应商组合的商品评价分值；根据所述商品评价分值，计算所述供应商组合针对所述商品选购指令中所有商品的平均评价分值，以作为所述供应商组合的评价推荐指数。
由此可见，本申请服务端可以为用户确定匹配其商品选购指令中商品标识的供应商组合，并将推荐指数满足预设条件的供应商组合推荐给用户，以供用户选择。在整个过程中，用户选择商品即可，由服务端为用户推荐匹配商品的供应商组合，无需用户在多个供应商之间切换，提高了网络选购的效率，同时节省用户终端的处理资源。
附图说明
图1是本申请一示例性实施例示出的一种业务处理方法的流程示意图。
图2是本申请一示例性实施例示出的另一种业务处理方法的流程示意图。
图3是本申请一示例性实施例示出的一种用于业务处理装置的一结构示意图。
图4是本申请一示例性实施例示出的一种业务处理装置的结构示意图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本申请相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详 述的、本申请的一些方面相一致的装置和方法的例子。
在本申请使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本申请。在本申请和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
应当理解，尽管在本申请可能采用术语第一、第二、第三等来描述各种信息，但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如，在不脱离本申请范围的情况下，第一信息也可以被称为第二信息，类似地，第二信息也可以被称为第一信息。取决于语境，如在此所使用的词语“如果”可以被解释成为“在……时”或“当……时”或“响应于确定”。
图1是本申请一示例性实施例示出的一种业务处理方法的流程示意图。
请参考图1，所述业务处理方法可以应用于服务端，所述服务端可以是网络购物平台的服务器或者服务器集群。所述业务处理方法可以包括以下步骤：
步骤101，接收用户输入的商品选购指令，所述商品选购指令中包括有一个或者多个商品标识。
在本实施例中，用户可以查看网络购物平台提供的商品列表，并基于所述商品列表输入商品选购指令。其中，所述商品列表中包括有各个供应商提供的商品，比如：供应商A提供商品A1以及A2，供应商B提供商品B1以及B2，则所述商品列表中包括有商品A1、A2、B1以及B2。
用户可以基于所述商品列表进行商品选购，并在选好后输入商品选购指令，所述商品选购指令中包括有用户选择的一个或者多个商品的商品标识，所述商品标识对应唯一一款商品。
在本实施例中，所述商品可以包括：服饰、家具等通过网络购买的 传统实体产品，所述商品也可以包括菜品等即时性较高的产品，本申请对此不作特殊限制。
步骤102，确定匹配所述商品标识的供应商组合，所述供应商组合中包括一个或者多个供应商。
基于前述步骤101，服务端在接收到所述商品选购指令后，可以确定匹配所述商品标识的供应商组合，比如：服务端可以先根据用户的配送地址，确定与配送地址的距离在预设距离内的所有供应商组成的供应商集合，然后在该供应商集合中确定匹配所述商品标识的供应商组合。
步骤103，确定每个供应商组合的推荐指数。
基于前述步骤102，服务端在确定匹配所述商品标识的供应商组合后，可以确定每个预设组合的推荐指数，所述推荐指数可以包括：价格推荐指数以及评价推荐指数等。
步骤104，将推荐指数满足预设条件的供应商组合推荐给用户。
基于前述步骤103，服务端可以将推荐指数满足预设条件的供应商组合推荐给用户，以供用户选择。
由以上描述可以看出，本申请服务端可以为用户确定匹配其商品选购指令中商品标识的供应商组合，并将推荐指数满足预设条件的供应商组合推荐给用户，以供用户选择。在整个过程中，用户选择商品即可，由服务端为用户推荐匹配商品的供应商组合，无需用户在多个供应商之间切换，提高了网络选购的效率，同时节省用户终端的处理资源。
图2是本申请一示例性实施例示出的另一种业务处理方法的流程示意图。
请参考图2，在本实施例中，以商品为菜品为例进行描述，前述商品选购指令为点菜指令，前述商品标识为菜品标识，前述商品列表为菜单，所述业务处理方法可以应用于服务端，所述服务端可以是网络订餐平台的服务器或者服务器集群。所述业务处理方法可以包括以下步骤：
步骤201，接收用户输入的点菜指令，所述点菜指令中包括有一个或者多个菜品标识。
在本实施例中，菜品的供应商，比如：餐馆或饭店等，可以到网络订餐平台中注册，所述供应商可以在注册成功后将其位置信息、提供的菜品以及菜品的价格等信息上传到服务端。服务端可以综合各个供应商提供的菜品生成可供用户点菜的菜单。在本实施例中，服务端可以依据相关技术确定菜单的组织形式，比如：将菜单分为：中餐、西餐等，针对中餐菜单，还可以分为：凉菜、热菜、主食等。当然，在实际实现中，服务端也可以采用其他方式组织菜单，本申请对此不作特殊限制。
在本实施例中，用户在通过网络进行订餐时，可以先查看服务端提供的菜单，然后在该菜单中选择菜品，并在选好后输入点菜指令。所述点菜指令中包括有用户选择的一个或者多个菜品的菜品标识，所述菜品标识对应唯一一道菜品。举例来说，假设用户选择了菜品“凉拌黄瓜”和“红烧鲈鱼”，则所述点菜指令中包括有“凉拌黄瓜”的菜品标识，比如：标识A，以及“红烧鲈鱼”的菜品标识，比如：标识B。
步骤202，确定与配送地址的距离在预设距离内的供应商集合。
在本实施例中，服务端可以根据用户订餐的配送地址确定供应商集合，举例来说，所述供应商集合可以包括与所述配送地址的距离在3公里或者5公里内的所有供应商。具体地，服务端可以根据所述配送地址与各个供应商在注册时提供的地址信息确定所述供应商集合。
在本实施例中，所述配送地址可以携带在所述点菜指令中，服务端可以在接收到所述点菜指令后，根据所述点菜指令中携带的所述配送地址确定所述供应商集合。所述配送地址也可以由用户在输入点菜指令前确定，比如：用户可以在进入网络订餐平台后，先选择配送地址，客户端将所述配送地址发送给服务端，服务端可以在接收到所述配送地址后确定所述供应商集合，在这种情况下，服务端先执行步骤202，然后再执行步骤201，本申请对此不作特殊限制。
步骤203，在所述供应商集合中，确定匹配所述菜品标识的供应商组合，所述供应商组合中包括一个或者多个供应商。
在本实施例中，服务端可以遍历所述供应商组合中的每个供应商，然后确定匹配所述菜品标识的供应商组合。可选的，服务端可以先选择 一个供应商，然后判断该供应商是否匹配所述点菜指令中包括的所有菜品标识，如果该供应商匹配所述点菜指令中包括的所有菜品标识，则服务端可以将该供应商确定为一个供应商组合，即该供应商组合中仅包括一个供应商。如果该供应商匹配所述点菜指令中包括的部分菜品标识，则服务端可以在其余供应商中选择匹配所述点菜指令中包括的另一部分菜品标识的供应商，以组成匹配所述点菜指令中包括的所有菜品标识的供应商组合，即该供应商组合中包括有多个供应商。
举例来说，仍以前述所述点菜指令中包括的菜品标识为标识A和标识B为例，假设，供应商1提供的菜品中包括有“凉拌黄瓜”和“红烧鲈鱼”，则服务端可以确定所述供应商1匹配点菜指令中包括的标识A和标识B，确定供应商1为一个供应商组合。假设，供应商2提供的菜品中包括有“凉拌黄瓜”，但是不包括“红烧鲈鱼”，服务端可以确定所述供应商2匹配标识A，但是不匹配标识B，则服务端可以在所述供应商集合中的其他供应商中选择匹配标识B的供应商，即提供“红烧鲈鱼”的供应商，比如：供应商3，则所述供应商3和所述供应商2为匹配点菜指令中所有菜品标识的又一个供应商组合。
在实际应用中，可以预先设置供应商组合所能包含的最大供应商数量，具体地，可以设置固定的最大供应商数量，比如：3，即每个供应商组合中最多包含有3个供应商。也可以根据点菜指令中包含的菜品标识数量，设置动态变化的最大供应商数量，举例来说，当所述点菜指令中包含的菜品标识数量小于等于5个时，可以将所述最大供应商数量设置为3，但所述点菜指令中包含的菜品标识数量大于5小于10时，可以将所述最大供应商数量设置为4等，本申请对此不作特殊限制。
在本实施例中，服务端可以在所述供应商集合中，确定一个或者多个供应商组合，每个供应商组合中包括有一个或者多个供应商。
步骤204，确定每个供应商组合的价格推荐指数以及评价推荐指数。
在本实施例中，服务端可以依次确定每个供应商组合的价格推荐指数以及评价推荐指数。
其中，所述价格推荐指数用于衡量供应商组合的价格情况。具体地， 服务端可以根据所述点菜指令中所有菜品标识对应的菜品，计算所述供应商组合的报价金额，服务端还会计算点菜指令中所有菜品标识对应的菜品的平均金额，然后计算所述报价金额和所述平均金额的差异度，并将所述差异度作为所述价格推荐指数。
举例来说，仍以前述所述点菜指令中包括的菜品标识为标识A和标识B为例，即用户选择“凉拌黄瓜”和“红烧鲈鱼”这两个菜为例，供应商组合为前述供应商2和供应商3，其中，供应商2提供“凉拌黄瓜”，供应商3提供“红烧鲈鱼”，则所述供应商组合的报价金额为供应商2对“凉拌黄瓜”的报价和供应商3对“红烧鲈鱼”的报价之和，为便于描述，用M表示所述报价金额。服务端还会计算“凉拌黄瓜”和“红烧鲈鱼”的平均金额，比如：服务端可以获取网络订餐平台中所有供应商对“凉拌黄瓜”报价，然后计算“凉拌黄瓜”报价的平均值，同样的，服务端也会计算“红烧鲈鱼”报价的平均值，并将这两个平均值相加得到“凉拌黄瓜”和“红烧鲈鱼”的平均金额，为便于描述，用P表示所述平均金额。可选的，所述报价金额和所述平均金额的差异度可以为M与P的差值，也可以为M与P的商值，本申请对此不作特殊限制。
所述评价推荐指数反映其他用户对供应商组合提供的匹配菜品标识的菜品的评论情况。具体地，服务端可以针对点菜指令中每个菜品标识对应的菜品，先获取所述供应商组合的菜品评价分值，然后计算所述点菜指令中所有菜品的平均评价分值，以作为所述供应商组合的评价推荐指数。
举例来说，仍以前述所述点菜指令中包括的菜品标识为标识A和标识B为例，即用户选择“凉拌黄瓜”和“红烧鲈鱼”这两个菜为例，供应商组合为前述供应商2和供应商3，其中，供应商2提供“凉拌黄瓜”，供应商3提供“红烧鲈鱼”，则服务端可以获取供应商2提供的“凉拌黄瓜”的菜品评价分值，比如：X1，获取供应商3提供的“红烧鲈鱼”的菜品评价分值，比如：X2，然后将这两个菜品的菜品评价分值相加再除以菜品数量，以得到平均评价分值，即所述平均评价分值等于(X1+X2)/2。
步骤205，将价格推荐指数满足第一条件的第一供应商组合以及评价推荐指数满足第二条件的第二供应商组合推荐给用户。
基于前述步骤204，服务端在确定每个供应商组合的价格推荐指数以及评价推荐指数之后，可以将价格推荐指数满足第一条件的第一供应商组合以及评价推荐指数满足第二条件的第二供应商组合推荐给用户。
在本实施例中，所述第一条件和所述第二条件可以由开发人员预先进行设置。为了向用户推荐物美价廉的供应商组合，价格推荐指数满足所述第一条件的第一供应商组合通常为价格较为优的供应商组合，评价推荐指数满足所述第二条件的第二供应商组合通常为评价较好的供应商组合。
举例来说，以所述价格推荐指数为P/M为例，如果所述价格推荐指数小于1，则说明供应商组合的报价金额大于平均金额，报价较高。如果所述价格推荐指数大于1，则说明供应商组合的报价金额小于平均金额，报价比较实惠。在本实施例中，可以将所述第一条件设置为价格推荐指数大于1，也可以将所述第一条件设置为按照价格评价指数从高到低的顺序，排列在前N1位等，其中，N1为大于等于1的自然数，以使得满足所述第一条件的第一供应商组合为价格较低的供应商组合。
另一方面，针对评价推荐指数，通常而言，会将所述第二条件设置为评价推荐指数最高，或者按照评价推荐指数从高到低的顺序，排列在前N2位等，N2为大于1的自然数，以使得满足所述第二条件的第二供应商组合为评价最好的供应商组合。
在本实施例中，服务端在确定出价格推荐指数满足第一条件的第一供应商组合以及评价推荐指数满足第二条件的第二供应商组合之后，可以将所述第一供应商组合和所述第二供应商组合推荐给用户。
举例来说，用户输入点菜指令后，服务端确定匹配菜品标识的所有供应商组合，并在所述所有供应商组合中确定所述第一供应商组合和所述第二供应商组合，然后在将所述所有供应商组合返回给用户时，将所述第一供应商组合和所述第二供应商组合作为优选的供应商组合，推荐给用户。
由以上描述可以看出，本申请服务端可以为用户确定匹配其点菜指令中菜品标识的供应商组合，并将推荐指数满足预设条件的供应商组合推荐给用户，以供用户选择。在整个过程中，用户选择菜品即可，由服务端为用户推荐匹配菜品的供应商组合，无需用户在多个供应商之间切换，提高了网络订餐的效率，同时节省用户终端的处理资源。
下面结合具体的应用场景来描述本申请的实现过程。
假设，用户小明邀请小伙伴来家里做客，到了晚餐时间，大家决定叫外卖以解决晚饭问题。外地来的小伙伴想吃正宗的杭帮菜，而本地的小伙伴却想吃Pizza，于是小明用手机打开某第三方订餐平台，在该平台提供的菜单中选择杭帮菜，并在杭帮菜的列表中选择西湖醋鱼、叫花鸡、宋嫂鱼羹等杭帮菜品，小明还可以在该平台提供的菜单中选择西餐，并在西餐的列表中选择海鲜什锦Pizza，凯撒沙拉等西式菜品，在选好菜品后，小明可以输入点菜指令，该平台可以根据所述点菜指令，确定匹配小明选择的所有菜品的供应商组合，并确定每个供应商组合的推荐指数。假设，推荐指数满足预设条件的供应商组合为“楼外楼”和“必胜客”，则该平台可以将“楼外楼”和“必胜客”推荐给小明，小明可以通过下单选项进行下单，整个过程，无需小明在多家餐馆之间切换，提高了点菜的效率。
在上述实施例中，第三方订餐平台可以通过前述图1或者图2所示的方法实施例中提供的业务处理方案实现上述供应商组合的推荐过程，本申请在此不再一一赘述。
与前述业务处理方法的实施例相对应，本申请还提供了业务处理装置的实施例。
本申请业务处理装置的实施例可以应用在服务端上。装置实施例可以通过软件实现，也可以通过硬件或者软硬件结合的方式实现。以软件实现为例，作为一个逻辑意义上的装置，是通过其所在服务端的处理器将非易失性存储器中对应的计算机程序指令读取到内存中运行形成的。从硬件层面而言，如图3所示，为本申请业务处理装置所在服务端的一种硬件结构图，除了图3所示的处理器、内存、网络接口、以及非易失 性存储器之外，实施例中装置所在的服务端通常根据该服务端的实际功能，还可以包括其他硬件，对此不再赘述。
图4是本申请一示例性实施例示出的一种业务处理装置的结构示意图。
请参考图4，所述业务处理装置300可以应用在前述图3所示的服务端中，包括有：指令接收单元301、组合确定单元302、指数确定单元303以及组合推荐单元304。
其中，所述指令接收单元301，接收用户输入的商品选购指令，所述商品选购指令中包括有一个或者多个商品标识；
所述组合确定单元302，确定匹配所述商品标识的供应商组合，所述供应商组合中包括一个或者多个供应商；
所述指数确定单元303，确定每个供应商组合的推荐指数；
所述组合推荐单元304，将推荐指数满足预设条件的供应商组合推荐给用户。
可选的，所述组合确定单元302，具体地确定与配送地址的距离在预设距离内的供应商集合；在所述供应商集合中，确定匹配所述商品标识的供应商组合。
可选的，所述推荐指数包括：价格推荐指数以及评价推荐指数；
所述组合推荐单元304，具体将价格推荐指数满足第一条件的第一供应商组合以及评价推荐指数满足第二条件的第二供应商组合推荐给用户。
可选的，当所述推荐指数为价格推荐指数时，所述指数确定单元303，具体针对所述商品选购指令中所有商品标识对应的商品，计算所述供应商组合的报价金额与平均金额的差异度，以作为所述供应商组合的价格推荐指数。
可选的，当所述推荐指数为评价推荐指数时，所述指数确定单元303，具体针对所述商品选购指令中每个商品标识对应的商品，获取所述供应商组合的商品评价分值；根据所述商品评价分值，计算所述供应 商组合针对所述商品选购指令中所有商品的平均评价分值，以作为所述供应商组合的评价推荐指数。
上述装置中各个单元的功能和作用的实现过程具体详见上述方法中对应步骤的实现过程，在此不再赘述。
对于装置实施例而言，由于其基本对应于方法实施例，所以相关之处参见方法实施例的部分说明即可。以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本申请方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
以上所述仅为本申请的较佳实施例而已，并不用以限制本申请，凡在本申请的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本申请保护的范围之内。

Claims (10)

  1. 一种业务处理方法，其特征在于，所述方法包括：
    接收用户输入的商品选购指令，所述商品选购指令中包括有一个或者多个商品标识；
    确定匹配所述商品标识的供应商组合，所述供应商组合中包括一个或者多个供应商；
    确定每个供应商组合的推荐指数；
    将推荐指数满足预设条件的供应商组合推荐给用户。
  2. 根据权利要求1所述的方法，其特征在于，所述确定匹配所述商品标识的供应商组合，包括：
    确定与配送地址的距离在预设距离内的供应商集合；
    在所述供应商集合中，确定匹配所述商品标识的供应商组合。
  3. 根据权利要求1所述的方法，其特征在于，所述推荐指数包括：价格推荐指数以及评价推荐指数；
    所述将推荐指数满足预设条件的供应商组合推荐给用户，包括：
    将价格推荐指数满足第一条件的第一供应商组合以及评价推荐指数满足第二条件的第二供应商组合推荐给用户。
  4. 根据权利要求3所述的方法，其特征在于，
    当所述推荐指数为价格推荐指数时，所述确定每个供应商组合的推荐指数，包括：
    针对所述商品选购指令中所有商品标识对应的商品，计算所述供应商组合的报价金额与平均金额的差异度，以作为所述供应商组合的价格推荐指数。
  5. 根据权利要求3所述的方法，其特征在于，
    当所述推荐指数为评价推荐指数时，所述确定每个供应商组合的推荐指数，包括：
    针对所述商品选购指令中每个商品标识对应的商品，获取所述供应 商组合的商品评价分值；
    根据所述商品评价分值，计算所述供应商组合针对所述商品选购指令中所有商品的平均评价分值，以作为所述供应商组合的评价推荐指数。
  6. 一种业务处理装置，其特征在于，所述装置包括：
    指令接收单元，接收用户输入的商品选购指令，所述商品选购指令中包括有一个或者多个商品标识；
    组合确定单元，确定匹配所述商品标识的供应商组合，所述供应商组合中包括一个或者多个供应商；
    指数确定单元，确定每个供应商组合的推荐指数；
    组合推荐单元，将推荐指数满足预设条件的供应商组合推荐给用户。
  7. 根据权利要求6所述的装置，其特征在于，
    所述组合确定单元，具体地确定与配送地址的距离在预设距离内的供应商集合；在所述供应商集合中，确定匹配所述商品标识的供应商组合。
  8. 根据权利要求6所述的装置，其特征在于，所述推荐指数包括：价格推荐指数以及评价推荐指数；
    所述组合推荐单元，具体将价格推荐指数满足第一条件的第一供应商组合以及评价推荐指数满足第二条件的第二供应商组合推荐给用户。
  9. 根据权利要求8所述的装置，其特征在于，
    当所述推荐指数为价格推荐指数时，所述指数确定单元，具体针对所述商品选购指令中所有商品标识对应的商品，计算所述供应商组合的报价金额与平均金额的差异度，以作为所述供应商组合的价格推荐指数。
  10. 根据权利要求8所述的装置，其特征在于，
    当所述推荐指数为评价推荐指数时，所述指数确定单元，具体针对所述商品选购指令中每个商品标识对应的商品，获取所述供应商组合的商品评价分值；根据所述商品评价分值，计算所述供应商组合针对所述商品选购指令中所有商品的平均评价分值，以作为所述供应商组合的评价推荐指数。
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020529074A (ja) * 2017-07-25 2020-10-01 チェイス，アーノルド 仮想レストランシステム

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107563845A (zh) * 2017-08-08 2018-01-09 云工工业科技（深圳）有限公司 一种在线加工委托系统及方法
CN109583999A (zh) * 2018-11-13 2019-04-05 平安科技（深圳）有限公司 订餐信息推荐方法、装置、电子设备及存储介质
CN111062769B (zh) * 2019-10-30 2021-06-11 杭州拼便宜网络科技有限公司 派单方法、系统以及存储装置
CN110991959A (zh) * 2019-11-29 2020-04-10 珠海乐活公社网络科技有限公司 一种电商平台采购订单处理方法及装置
CN112016958B (zh) * 2020-08-18 2024-03-22 中移（杭州）信息技术有限公司 产品选择方法、装置、电子设备及存储介质
CN112347345A (zh) * 2020-10-22 2021-02-09 海南亿保医药科技有限公司 购药信息推荐方法、装置和设备
CN113762678A (zh) * 2020-10-30 2021-12-07 北京京东振世信息技术有限公司 确定产品的优选制造商的方法、装置、设备和介质

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100030619A1 (en) * 2005-02-24 2010-02-04 Dolphin Software Ltd. System and method for computerized analyses of shopping basket parameters
CN103136683A (zh) * 2011-11-24 2013-06-05 阿里巴巴集团控股有限公司 计算产品参考价格的方法、装置及产品搜索方法、系统
CN104933604A (zh) * 2015-07-14 2015-09-23 佛山市顺德区德塑信息咨询有限公司 供求信息智能筛选方法

Family Cites Families (83)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5832446A (en) * 1993-03-31 1998-11-03 Cornell Research Foundation, Inc. Interactive database method and system for food and beverage preparation
US7082426B2 (en) * 1993-06-18 2006-07-25 Cnet Networks, Inc. Content aggregation method and apparatus for an on-line product catalog
US6049777A (en) * 1995-06-30 2000-04-11 Microsoft Corporation Computer-implemented collaborative filtering based method for recommending an item to a user
US5991739A (en) * 1997-11-24 1999-11-23 Food.Com Internet online order method and apparatus
US6847969B1 (en) * 1999-05-03 2005-01-25 Streetspace, Inc. Method and system for providing personalized online services and advertisements in public spaces
US7181419B1 (en) * 2001-09-13 2007-02-20 Ewinwin, Inc. Demand aggregation system
US8429026B1 (en) * 1999-06-28 2013-04-23 Dietfood Corp. System and method for creating and submitting electronic shopping lists
US20090234712A1 (en) * 1999-06-28 2009-09-17 Musicip Corporation Method and apparatus for automated selection, organization, and recommendation of items based on user preference topography
US6741969B1 (en) * 1999-12-15 2004-05-25 Murray Huneke System and method for reducing excess capacity for restaurants and other industries during off-peak or other times
EP1290581A4 (en) * 2000-04-10 2008-02-13 Innovit Pty Ltd ELECTRONIC CATALOG
JP2002056216A (ja) * 2000-08-09 2002-02-20 Fujitsu Ltd オンラインショッピングシステム、コンピュータ、サーバコンピュータ及び記録媒体
JP2002207809A (ja) * 2001-01-06 2002-07-26 Yasushi Tsuneyama 食事等の宅配店舗探索方法
US20020107747A1 (en) * 2001-02-02 2002-08-08 I2 Technologies, Inc. System and method for brokering food order transactions among a plurality of unaffiliated sellers
US8069175B2 (en) * 2002-04-10 2011-11-29 Google Inc. Delegating authority to evaluate content
JP2004102342A (ja) * 2002-09-04 2004-04-02 Ricoh Co Ltd 出前仲介サービス提供方法、出前サービス支援装置、ならびに、プログラム
US7627486B2 (en) * 2002-10-07 2009-12-01 Cbs Interactive, Inc. System and method for rating plural products
JP2004030658A (ja) * 2003-06-16 2004-01-29 Toshiba Corp 電子取引仲介方法、組合せ候補生成方法、電子取引仲介装置および記録媒体
CA2433471A1 (en) * 2003-06-26 2004-12-26 Ibm Canada Limited - Ibm Canada Limitee Supplier hub with hosted supplier stores
US7169051B1 (en) * 2003-07-09 2007-01-30 Tim Mossbarger Player confidence points method and system of implementation in a multiplayer software application
JP2006065450A (ja) * 2004-08-25 2006-03-09 Dee Corp 逆オークションの制御方法、プログラム及びサーバ装置
US7962461B2 (en) * 2004-12-14 2011-06-14 Google Inc. Method and system for finding and aggregating reviews for a product
US7882156B2 (en) * 2005-11-02 2011-02-01 Requisite Software, Inc. System and method for storing item attributes in an electronic catalog
US7756753B1 (en) * 2006-02-17 2010-07-13 Amazon Technologies, Inc. Services for recommending items to groups of users
US20070226189A1 (en) * 2006-03-23 2007-09-27 John William Piekos Dynamically searching and browsing product catalogs with reduced user gestures
US11093987B2 (en) * 2006-06-30 2021-08-17 Whapps Llc System and method for providing data for on-line product catalogues
US8260687B2 (en) * 2007-04-16 2012-09-04 Ebay Inc. Distributed commerce application-widget
US8122371B1 (en) * 2007-12-21 2012-02-21 Amazon Technologies, Inc. Criteria-based structured ratings
JP5164673B2 (ja) * 2008-05-30 2013-03-21 キヤノン株式会社 サーバ装置、カタログ処理方法及びプログラム
US20100042618A1 (en) * 2008-08-12 2010-02-18 Peter Rinearson Systems and methods for comparing user ratings
US20110022497A1 (en) * 2009-07-22 2011-01-27 Eric Scifres Creation and maintenance of an electronic commerce listings catalog
US20120215657A1 (en) * 2009-11-30 2012-08-23 David Compton Vendor Selection for Purchase of Resources
US20110208617A1 (en) * 2010-02-19 2011-08-25 Chris Weiland System and method for locality and user preference based food recommendations
US8352473B2 (en) * 2010-04-21 2013-01-08 Microsoft Corporation Product synthesis from multiple sources
US20120078731A1 (en) * 2010-09-24 2012-03-29 Richard Linevsky System and Method of Browsing Electronic Catalogs from Multiple Merchants
US8374907B1 (en) * 2010-10-17 2013-02-12 Google Inc. E-commerce price index
US8860587B2 (en) * 2011-07-25 2014-10-14 Christopher Andrew Nordstrom Interfacing customers with mobile vendors
US20130159867A1 (en) * 2011-12-16 2013-06-20 Jayasimha Nuggehalli Approach for managing package-based subscriptions for service providers
US9230212B2 (en) * 2012-02-02 2016-01-05 Peel Technologies, Inc. Content based recommendation system
WO2013125201A1 (ja) * 2012-02-21 2013-08-29 パナソニック株式会社 レシピ提示装置、及び、レシピ提示方法
US9709410B2 (en) * 2012-02-27 2017-07-18 Ford Global Technology, Llc Method and apparatus for vehicle-based data gathering
US9406084B2 (en) * 2012-05-23 2016-08-02 Specialty's Café & Bakery, Inc. Methods for submitting a food order remotely
CN102737295A (zh) * 2012-06-05 2012-10-17 镇江科大船苑计算机网络工程有限公司 基于Android系统的后勤采供管理方法
US20180047071A1 (en) * 2012-07-24 2018-02-15 Ebay Inc. System and methods for aggregating past and predicting future product ratings
US20140046869A1 (en) * 2012-08-10 2014-02-13 Localize Services Ltd. Methods of rating and displaying food in terms of its local character
GB201215193D0 (en) * 2012-08-25 2012-10-10 Dalp Daniel Order delivery system
US20140067586A1 (en) * 2012-09-05 2014-03-06 Brad Geisen Methods, Apparatuses, and Computer Program Products for Fulfilling Requests for Price Opinions
US10210553B2 (en) * 2012-10-15 2019-02-19 Cbs Interactive Inc. System and method for managing product catalogs
JP2014081770A (ja) * 2012-10-16 2014-05-08 Sony Corp 端末装置、端末制御方法、情報処理装置、情報処理方法、およびプログラム
US20140200879A1 (en) * 2013-01-11 2014-07-17 Brian Sakhai Method and System for Rating Food Items
US20140220516A1 (en) * 2013-02-01 2014-08-07 FoodCare Inc. System and method for food item search with nutritional insight analysis using big data infrastructure
US20140229209A1 (en) * 2013-02-14 2014-08-14 Marko Thomas Greisen Systems and methods of generating product packages
US10733194B2 (en) * 2013-03-08 2020-08-04 Warren Young Systems and methods for providing a review platform
US20140279266A1 (en) * 2013-03-15 2014-09-18 Aggregate Shopping Corp. System and Method for Determining Optimum Options for Purchasing Multiple Items On-Line
WO2015009995A1 (en) * 2013-07-18 2015-01-22 Barkeep Mobile, LLC System and method for facilitating restaurant orders
EP3031028A4 (en) * 2013-08-07 2016-12-21 Munch Ado Inc SYSTEM AND METHOD FOR DISCOVERING RESTAURANTS, CONTROLLING FOOD AND BOOKING TABLES
EP3025299A4 (en) * 2013-08-16 2017-01-25 Mdsave, Inc Network-based marketplace service for facilitating purchases of bundled services and products
US20160253722A1 (en) * 2013-10-31 2016-09-01 Hewlett-Packard Development Company, L.P. Aggregating, presenting and fulfilling a number of catalogs
TWI615787B (zh) * 2013-11-07 2018-02-21 財團法人資訊工業策進會 群體對象商品推薦系統、方法及其非揮發性電腦可讀取紀錄媒體
US11126481B2 (en) * 2013-12-09 2021-09-21 Micro Focus Llc Fulfilling a request based on catalog aggregation and orchestrated execution of an end-to-end process
US20150242421A1 (en) * 2014-02-21 2015-08-27 Quixey, Inc. Location-Based Searching
US20150278828A1 (en) * 2014-03-27 2015-10-01 Locu, Inc. Market analysis for an online business
US20150294292A1 (en) * 2014-04-11 2015-10-15 Fujitsu Limited Gastronomy payment system using geotagging and mobile devices
WO2015181946A1 (ja) * 2014-05-30 2015-12-03 楽天株式会社 情報処理装置、情報処理方法、プログラム
WO2016029818A1 (en) * 2014-08-28 2016-03-03 365 Technologies Holding Limited Method and system for processing food orders
US10366434B1 (en) * 2014-10-22 2019-07-30 Grubhub Holdings Inc. System and method for providing food taxonomy based food search and recommendation
US10902505B2 (en) * 2014-10-24 2021-01-26 Ncr Corporation Automated assistance in retail decisions
US10296952B2 (en) * 2014-11-03 2019-05-21 Hewlett Packard Enterprise Development Lp Fulfillment of cloud service using marketplace system
US10127595B1 (en) * 2014-12-31 2018-11-13 Square, Inc. Categorization of items based on attributes
CN104751315A (zh) * 2015-04-01 2015-07-01 北京首钢自动化信息技术有限公司 一种电子采购系统及其方法
US20160328765A1 (en) * 2015-05-08 2016-11-10 Ebay Inc. Enhanced supply and demand tool
US10650437B2 (en) * 2015-06-01 2020-05-12 Accenture Global Services Limited User interface generation for transacting goods
CN104933200A (zh) * 2015-07-14 2015-09-23 佛山市顺德区德塑信息咨询有限公司 供求信息智能匹配方法
JP2017037170A (ja) * 2015-08-10 2017-02-16 株式会社ぐるなび 情報処理装置、情報処理システム、ナビゲーションシステム、情報処理方法及びプログラム
JP6219001B2 (ja) * 2015-08-12 2017-10-25 株式会社ぐるなび サーバの制御方法及び制御プログラム
CN105160551A (zh) * 2015-08-25 2015-12-16 摩贝（上海）生物科技有限公司 一种化合物价格推算系统和方法
US10289734B2 (en) * 2015-09-18 2019-05-14 Samsung Electronics Co., Ltd. Entity-type search system
US20170097967A1 (en) * 2015-10-05 2017-04-06 Quixey, Inc. Automated Customization of Display Component Data for Search Results
US10664902B2 (en) * 2015-10-09 2020-05-26 Rakuten, Inc. Setting and displaying allocation quantities for allocating amounts of a food product to multiple users while meeting user restriction and demand conditions
JP5969100B1 (ja) * 2015-10-13 2016-08-10 株式会社ぐるなび 情報処理装置、情報処理方法及びプログラム
US10943312B2 (en) * 2015-10-28 2021-03-09 MyFitnessPal, Inc. Restaurant matching and filtering for use in a health tracking system
US10832302B2 (en) * 2015-10-30 2020-11-10 Forq, Inc. Method for digital recipe library and food image recognition services
US10133738B2 (en) * 2015-12-14 2018-11-20 Facebook, Inc. Translation confidence scores
US10127619B2 (en) * 2016-03-08 2018-11-13 International Business Machines Corporation Determination of targeted food recommendation

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100030619A1 (en) * 2005-02-24 2010-02-04 Dolphin Software Ltd. System and method for computerized analyses of shopping basket parameters
CN103136683A (zh) * 2011-11-24 2013-06-05 阿里巴巴集团控股有限公司 计算产品参考价格的方法、装置及产品搜索方法、系统
CN104933604A (zh) * 2015-07-14 2015-09-23 佛山市顺德区德塑信息咨询有限公司 供求信息智能筛选方法

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020529074A (ja) * 2017-07-25 2020-10-01 チェイス，アーノルド 仮想レストランシステム
JP2022050624A (ja) * 2017-07-25 2022-03-30 チェイス，アーノルド 仮想レストランシステム
JP2022050625A (ja) * 2017-07-25 2022-03-30 チェイス，アーノルド 仮想レストランシステム
JP7202487B2 (ja) 2017-07-25 2023-01-11 チェイス，アーノルド 仮想レストランシステム

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