WO2018126728A1 - 配餐方法及装置 - Google Patents

配餐方法及装置 Download PDF

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Publication number
WO2018126728A1
WO2018126728A1 PCT/CN2017/101326 CN2017101326W WO2018126728A1 WO 2018126728 A1 WO2018126728 A1 WO 2018126728A1 CN 2017101326 W CN2017101326 W CN 2017101326W WO 2018126728 A1 WO2018126728 A1 WO 2018126728A1
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Prior art keywords
user
information
dish
determining
order
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PCT/CN2017/101326
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English (en)
French (fr)
Inventor
李建梅
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中兴通讯股份有限公司
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Publication of WO2018126728A1 publication Critical patent/WO2018126728A1/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
    • G06Q30/06—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
    • 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]
    • G06Q30/0621—Item configuration or customization

Definitions

  • the present disclosure relates to the field of computer intelligent services, and illustratively, to a catering method and apparatus.
  • takeaway is now more and more popular among young customers. If you work too busy and don't want to cook for yourself, you can solve the problem of food and clothing without leaving your home. However, if you choose a meal for too long, it is easy to delay the meal time; or if you forget to order the meal in advance, it is too late to think of the takeaway. In these cases, it is not only impossible to follow the meal, it is difficult to choose the desired meal, but also affects the health of the body, and the user experience is relatively poor.
  • the embodiment of the present disclosure provides a catering method and device, which solves the problem of delaying eating due to difficulty in selecting or forgetting to order in advance, and can automatically make a meal according to the user's order record, saving money. The user's time and enhance the user's experience.
  • an embodiment of the present disclosure provides a catering method, the method comprising: determining user preference information; determining that the preference information is matched First dish recommendation information; sending a first reservation order carrying the first dish recommendation information to the user.
  • an embodiment of the present disclosure provides a catering apparatus, the apparatus comprising: a first determining module, configured to determine preference information of a user; and a second determining module, configured to determine a first dish that matches the preference information
  • the recommendation module sends a first reservation order carrying the first dish recommendation information to the user.
  • the embodiment of the present disclosure discloses a catering method and apparatus, wherein the method includes: first determining user preference information; and then exemplarily determining first dish recommendation information that matches the preference information; A first reservation order for a dish recommendation information is given to the user.
  • the automatic meal can be made according to the user's order record, which saves the user's time and improves the user's experience.
  • FIG. 1 is a schematic flow chart showing the implementation of a meal sharing method according to an embodiment of the present disclosure
  • FIG. 2 is a schematic flow chart showing an implementation process of a meal sharing method according to an embodiment of the present disclosure
  • 3-1 is a schematic flowchart of a client processing process of a catering method according to Embodiment 3 of the present disclosure
  • 3-2 is a schematic diagram of a server processing procedure of a catering method according to Embodiment 3 of the present disclosure
  • FIG. 4 is a schematic structural diagram of a fourth catering apparatus according to an embodiment of the present disclosure.
  • FIG. 1 is a schematic flowchart of an implementation method of a catering method according to an embodiment of the present disclosure. As shown in FIG.
  • Step S101 determining preference information of the user; here, step S101 determines that the preference information of the user may be implemented by the catering device, and in the actual application, the catering device may be a server device.
  • determining the user's preference information may include, but is not limited to, the following implementation manners: first, determining the user's preference information according to the user's subscription record; The user inputs the user's preference information in the setting user preference information field provided on the ordering APP; the third type analyzes the user-entered record to determine the user's preference information.
  • the user's preference information can be determined according to the keyness of the user input in the search bar.
  • step S101 includes: step S101a, acquiring the user's order record; step S102b, analyzing the order record, determining The user's preference information.
  • the implementation process of the step S101a includes: receiving a first message sent by a user; wherein the first message includes at least a status of an automatic meal switch and identification information of the user; a first message, determining a status of the automatic meal switch and identification information of the user; determining whether the state of the automatic meal switch in the first message is an open state; if the state of the automatic meal switch is an open state, according to The user's identification information determines the user's order record.
  • the implementation process of the step S101b includes: determining a dish type having the most occurrences in the order record as a menu type preferred by the user; determining a menu type of the user preference Is the preference information of the user.
  • the server can derive the user's favorite dish type according to the user's previous ordering record, understand the taste of the user's preference, and determine the user's preference information.
  • the implementation process of step S101b may further include: according to the order record Determining a first order number of times of each preset consumption amount range; determining a consumption amount range corresponding to a maximum value among the first order meal times as a user-preferred consumption level; determining each preset according to the ordering record a second order number of the shop rating range; determining a shop rating range corresponding to the maximum of the second order times as a shop level preferred by the user; a dish type according to the user preference, a consumption level of the user preference, and the The store level preferred by the user determines the preference information of the user.
  • Step S102 determining first dish recommendation information that matches the preference information; where, when the preference information includes a dish type, the implementing process of step S102 includes: determining to match the dish type in the preference information a first dish information set; selecting any one of the first dish information from the first dish information set, and determining the first dish information as the first dish recommendation information. In this way, it is possible to determine a dish that matches the type of the dish that the user prefers based on the user's preference information, and recommend it to the user.
  • the preference information including the dish type, the consumption level, and the store level may be matched to determine the first dish recommendation information.
  • the exemplary implementation process of the step S102 includes: determining a fourth dish information set that matches the dish type, the consumption level, and the shop level in the preference information; and selecting any one from the fourth item information set. a second dish information, and the second dish information is determined as the first dish recommendation information.
  • the exemplary implementation process of determining a fourth dish information set that matches the dish type, the consumption level, and the shop level in the preference information includes determining to match a first attribute in the preference information a second dish information set; wherein the first attribute is any one of a dish type, a consumption level, and a shop level; determining, from the second dish information set, a second attribute matching the preference information a third dish information set; wherein the second attribute is to remove any one of the first attributes from the dish type, the consumption level, and the store level; determining from the third dish information set and the preference information
  • the third attribute matching fourth item information set wherein the third attribute is an attribute that removes the first attribute and the second attribute from the dish type, the consumption level, and the store level.
  • the user's requirements on the type of food, the level of consumption, and the level of the store are comprehensively considered, and a more suitable dish can be recommended for the user.
  • the first attribute is a dish type
  • the dish type in the user preference information is Sichuan cuisine
  • the second dish information set matching the Sichuan cuisine is determined;
  • the second dish information set includes: Mapo tofu, 15 yuan, shop 1, five-star, boiled pork, 25 yuan, shop 1, 4.5 stars, fish-flavored eggplant, 13 yuan, shop 2, 3.5 stars, spicy chicken, 30 yuan, shop 3, 5 stars, and then determined from the second dish collection
  • a third dish set satisfying the second attribute of the remaining two attributes, that is, the third dish set is a set of dishes satisfying the first attribute and the second attribute.
  • the second attribute is the amount of consumption
  • the amount of consumption in the user's preference information is less than 25 yuan
  • the three dishes are: Mapo Tofu, 15 yuan, shop 1, five-star, fish-flavored eggplant, 13 yuan, shop 2, 3.5 stars.
  • a fourth dish set satisfying the third attribute is determined from the third dish set.
  • the third attribute is a store level. For example, if the shop grade in the user preference information is greater than 4 stars, the fourth dish set is Mapo tofu. 15 yuan, shop 1, five stars. Then, any one of the fourth dish collections is determined as the first dish recommendation information.
  • Step S103 sending a first reservation order carrying the first dish recommendation information to the user.
  • the meal confirmation reminder time set by the user it is first determined whether the meal confirmation reminder time set by the user is reached; if the meal confirmation reminder time is reached, the first dish recommendation information is carried in the first reservation order and sent to the user.
  • the first scheduled order can be sent to the user when the user-approved meal confirmation reminding time is reached, and the user can avoid the user forgetting to reserve the take-out in advance, and when the peak time of the meal is scheduled to be taken out, the delivery time will be Great delay, resulting in not being able to eat on time.
  • the user's order record is determined according to the user's identification information; the order record is analyzed to obtain the user's preference information; and the first item matching the preference information is determined.
  • Recommendation information sending a first reservation order carrying the first dish recommendation information to the user.
  • the automatic meal can be made according to the user's order record, which improves the speed of ordering, thereby saving the user's time, solving the problem of delaying eating due to difficulty in selecting or forgetting to order in advance, thereby improving the user experience.
  • all the take-away products are selected by the user to select meals, dishes, and stores. After the selection is completed, the order is confirmed, and then the delivery is carried out by the merchant. If the user has difficulty selecting or forgetting to order, especially during the peak period of the takeaway. If the meal is slow, it will affect the delivery time of the take-out; in addition, for the merchants, all customers who order freely may cause insufficient estimation, resulting in a mismatch of ingredients, if a certain dish is particularly affected on a certain day. Customers are welcome, it is very likely to cause insufficient ingredients, and then to purchase ingredients will lead to delays in delivery time, which greatly affects the user experience. In addition, users do not understand the nutritional mix, resulting in a balanced mix of selected meals, affecting physical health.
  • FIG. 2 is a schematic flowchart of an implementation method of the catering method according to the second embodiment of the present disclosure. As shown in FIG. 2, the method includes:
  • Step S201 The user sends a first message to the server; where the first message includes at least a status of the automatic meal switch and identification information of the user.
  • the first message further includes a meal confirmation reminder time set by the user.
  • Step S202 The server receives and parses the first message, and obtains a status of the automatic meal switch and identification information of the user.
  • Step S203 the server determines whether the switch state of the automatic meal is an open state; if yes, the process goes to step S204, otherwise the process ends.
  • Step S204 the server determines a subscription record of the user according to the identification information of the user.
  • Step S205 the server analyzes the order record to obtain preference information of the user.
  • Step S206 the server determines first dish recommendation information that matches the preference information.
  • Step S207 the server sends a first reservation order carrying the first dish recommendation information to the user.
  • Step S208 after receiving the first reservation order, the user sends a second message to the server.
  • the user After receiving the first reservation order, the user checks the dishes in the first reservation order, and if it wants to eat, sends a second message carrying the consent order to the server, if the user orders the first reservation If it is not satisfied, it will send a second message carrying the disagreement to the server.
  • Step S209 the server receives and parses the second message to obtain a feedback message of the user.
  • Step S210 the server determines whether the feedback information is an agreed order.
  • Step S211 If the feedback information is an order to be placed, the server sends the first reservation order to the merchant corresponding to the first reservation order.
  • the merchant after receiving the first reservation order, the merchant performs meal preparation according to the first reservation order; after the preparation is completed, the delivery is performed, and the delivery status is updated in real time; the user receives the take-out and performs payment and evaluation.
  • Step S212 the server sends a third message to the user.
  • the third message is used to notify the user that the first reservation order has been sent to the merchant corresponding to the first order.
  • Step S213 if the feedback information is disagreeing to place an order, the server determines second dish recommendation information that matches the preference information.
  • the server will re-select a second dish recommendation information different from the first dish recommendation information for the user to select.
  • Step S214 sending a second reservation order carrying the second dish recommendation information to the user.
  • the second reservation order is because the user is not satisfied with the first reservation order, the server selects again, and is generated according to the second dish recommendation information. At this time, the user-set meal confirmation reminding time must have been reached, so there is no need to judge again whether The meal confirmation reminder time set by the user is reached, and the second reservation order is directly sent to the user.
  • the catering method determines the user's order record according to the user's identification information; analyzes the order record to obtain the user's preference information; and determines the first dish recommendation information that matches the preference information. Sending a first reservation order carrying the first dish recommendation information to the user, and if the user agrees to place an order, sending the first reservation order to the merchant corresponding to the first reservation order, if the user disagrees After the order is placed, the second dish recommendation information matching the preference information is determined again; and the second reservation order carrying the second dish recommendation information is sent to the user until the user is satisfied.
  • the server can automatically select a dish for the user according to the user's past ordering record, thereby eliminating the user's choice of being too difficult to make a choice, which leads to a delay in the ordering time and an increase in the user's Experience.
  • the embodiment of the present disclosure first provides a catering method.
  • the catering method needs to be completed by the client and the server.
  • the following describes the processing flow of the client and the server.
  • 3-1 is a schematic diagram of a client processing procedure of a catering method according to Embodiment 3 of the present disclosure. As shown in FIG. 3-1, the client processing procedure of the method provided in Embodiment 3 of the present disclosure includes:
  • step S311 the user opens the automatic meal setting interface.
  • step S312 the user selects whether to turn on the automatic meal switch.
  • step S313 if the user chooses to open the automatic meal, the interface is provided to the user to set the meal confirmation reminding time; if the user selects to close the switch, the direct display is closed.
  • Step S314 after the user is set, save the settings; upload the settings to the background (ie, the server side).
  • 3-2 is a schematic diagram of a server-side processing flow of a catering method according to Embodiment 3 of the present disclosure. As shown in FIG. 3-2, the server-side processing flow of the method provided in Embodiment 3 of the present disclosure includes:
  • Step S321 receiving automatic meal setting information set by the user reported by the client.
  • step S322 the server collects the order record of the user before.
  • Step S323 analyzing according to the user's record, inferring information such as the type of the dish that the user likes, the store level, and the consumption level.
  • step S323 requires the background to analyze the user's taste preference, the merchant level, the acceptable price range and the like according to the user's previous ordering record, so as to match the goods provided by the merchant and the merchant, and also according to the The busyness of the merchant's order, as well as the nutritional mix, etc., should be properly deployed to provide the best service for optimal meals at the optimal time and at the best price.
  • Step S324 searching for matching stores and dishes according to the result of the user analysis.
  • step S325 an order is placed for the found dish, and the order information is sent to the user for confirmation at the reminder time set by the user.
  • step S326 it is determined whether the user agrees to place an order.
  • Step S327 if the user agrees to place an order, the client and the merchant are automatically notified after the order is completed; if the user does not agree with the current order, the other stores and dishes are re-matched, and then confirmed with the user until the user finally confirms Order.
  • the food preparation is performed according to the order, and the delivery is completed after the preparation is completed.
  • the delivery status is updated; the user receives the take-out and performs payment and evaluation.
  • the automatic catering method provided by the embodiment of the present disclosure is configured by the client to switch and confirm the order reminding time and the like, and the server side uniformly analyzes the user's taste preference and other information according to the user's previous ordering record, and performs the meal and the shop matching according to the information. , and order confirmation and distribution management.
  • the automatic catering method provided by the embodiment of the present disclosure is used for difficulty in selecting, or forgetting to select a meal in advance, and the problem that cannot be eaten on time may be as follows: (1) selecting a difficult patient is difficult to determine among many dishes. What do you want to eat, left-handed right-handed picks and eyes, which can not be placed at one time; (2) forget to book the take-out in advance, and when the peak meal period comes to the scheduled take-out, the delivery time will be greatly delayed, resulting in failure to eat on time.
  • the meal when the above-mentioned scene is encountered, the meal can be selected in advance and the order can be placed, and the price range can be accepted by the user, and the food can be enjoyed at the dinner time, and the selection is difficult. Symptoms, saving users' time, maybe some meals can bring surprises to users, greatly improving the user experience.
  • FIG. 4 is a schematic structural diagram of a catering apparatus according to an embodiment of the present disclosure.
  • the catering apparatus 400 includes: a first determining module 401, a second determining module 402, The first sending module 403, the receiving module 404, the parsing module 405, the first judging module 406, the second sending module 407, the third sending module 408, the third determining module 409, and the fourth sending module 410.
  • the first determining module 401 is configured to determine preference information of the user; where the first determining module 401 illustratively includes:
  • An obtaining unit for obtaining the ordering record of the user (the acquisition of the ordering record, in particular, how to obtain the necessary technical features of the patent, even if it is necessary, does not need to be detailed).
  • the first determining unit is configured to analyze the order record and determine preference information of the user.
  • the first determining unit illustratively includes: a first determining subunit, configured to determine a dish type having the most occurrences in the order record as a dish type preferred by the user.
  • a second determining subunit configured to determine the type of the dish preferred by the user as the preference information of the user.
  • the first determining unit may further include: a third determining subunit, configured to determine, according to the ordering record, a first order number of times of each preset spending amount range.
  • a fourth determining subunit configured to determine a consumption amount range corresponding to the maximum value of the first order number of times as a consumption level preferred by the user.
  • a fifth determining subunit configured to determine, according to the ordering record, a second order number of times of each preset shop rating range.
  • a sixth determining subunit configured to determine a shop rating range corresponding to the maximum value of the second order number of times as a shop level preferred by the user.
  • a seventh determining subunit configured to determine the preference information of the user according to the type of the food that the user prefers, the consumption level of the user preference, and the store level of the user preference.
  • the second determining module 402 is configured to determine first dish recommendation information that matches the preference information.
  • the second determining module 402 illustratively includes: a second determining unit, configured to determine a first dish information set that matches a dish type in the preference information.
  • a third determining unit configured to select any one of the first dish information from the first dish information set, and determine the first dish information as the first dish recommendation information.
  • the second determining module 402 illustratively includes: a fourth determining unit, configured to determine a type of the food in the preference information, and consume A fourth set of food information that matches both the level and the store level.
  • the fifth determining unit is configured to select any one of the second dish information from the fourth dish information set, and determine the second dish information as the first dish recommendation information.
  • the fourth determining unit comprises:
  • an eighth determining subunit configured to determine a second dish information set that matches the first attribute in the preference information; wherein the first attribute is any one of a dish type, a consumption level, and a shop level. ;
  • a ninth determining subunit configured to determine, from the second dish information set, a third dish information set that matches a second attribute in the preference information; wherein the second attribute is from a dish type, a consumption level And any one of the first attributes is removed from the store level.
  • a tenth determining subunit configured to determine, from the third dish information set, a fourth dish information set that matches a third attribute in the preference information; wherein the third attribute is from a dish type, a consumption level And the attributes of the first attribute and the second attribute are removed from the store level.
  • the first sending module 403 sends a first reservation order carrying the first dish recommendation information to the user.
  • the first sending module 403 illustratively includes: a second determining unit, configured to determine whether a meal confirmation reminding time set by the user is reached.
  • a sending unit configured to: when the meal confirmation reminding time is reached, carry the first dish recommendation information in the first reservation order and send the message to the user.
  • the receiving module 404 is configured to receive a second message sent by the user, where the second message carries feedback information of the user.
  • the parsing module 405 is configured to parse the second message to obtain feedback information of the user.
  • the first determining module 406 is configured to determine whether the feedback information is an agreed order.
  • the second sending module 407 is configured to send the first reserved order to a merchant corresponding to the first reserved order if the feedback information is an agreed order.
  • the third sending module 408 is configured to send a third message to the client, where the third message is used to notify the client that the first reserved order has been sent to the merchant corresponding to the first order.
  • the third determining module 409 is configured to determine second dish recommendation information that matches the preference information if the feedback information is disagreeing to place an order.
  • the fourth sending module 410 is configured to carry the second dish recommendation information in a second reservation order and send the message to the user.
  • embodiments of the present disclosure can be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware aspects. Moreover, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.
  • the catering method and device related to the present disclosure are capable of selecting a meal in advance and placing an order, and enjoying the price range at the time of acceptance, enjoying the food at the dinner time, and perfectly bypassing the selection difficulty, saving the user's time, perhaps a certain Some meals can also surprise users, greatly improving the user experience.

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Abstract

一种配餐方法及装置，其中，所述方法包括：确定用户的偏好信息；确定与所述偏好信息匹配的第一菜品推荐信息；发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。

Description

配餐方法及装置 技术领域
本公开涉及计算机智能服务领域，示例性而言，涉及一种配餐方法及装置。
背景技术
随着移动互联网的发展，智能手机的功能越来越强大，智能手机上的各种应用也是丰富多彩，遍布到了生活中的方方面面，与人们的生活联系越来越紧密，已经成为人们日常生活不可缺少的部分。
外卖作为一种方便快捷的订餐方式，现在越来越受到广大年轻客户的欢迎。工作太忙，不想自己做饭，都可以通过这种方式足不出户解决温饱问题。但是如果选择餐品的时间过长容易耽误点餐时间；或者忘记提前订餐，肚子饿了才想起订外卖却为时已晚。这些情况下不仅是不能按照吃饭，难以选到想要的餐品，还会影响身体健康，用户体验比较差。
目前所有外卖产品均是由用户自己选择餐品、菜品、以及店家，选择完毕后确认提交订单，再由商家进行外卖的配送。这样导致的问题就是，如果用户面对太多的选择反而一时不好做出选择，结果耽误了点餐时间，或者忘记点餐而导致延迟就餐。
发明内容
为解决相关的技术问题，本公开实施例提供一种配餐方法及装置，解决了因为选择困难症或者忘记提前点餐而导致的延迟就餐的问题，能够根据用户的订餐记录进行自动配餐，节约了用户的时间，并提升了用户的体验。
为达到上述目的，本公开实施例的技术方案是这样实现的：第一方面，本公开实施例提供一种配餐方法，所述方法包括：确定用户的偏好信息；确定与所述偏好信息匹配的第一菜品推荐信息；发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。
第二方面，本公开实施例提供一种配餐装置，所述装置包括：第一确定模块，用于确定用户的偏好信息；第二确定模块，用于确定与所述偏好信息匹配的第一菜品推荐信息；发送模块，发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。
本公开实施例公开了一种配餐方法及装置，其中，所述方法包括：首先确定用户的偏好信息；然后示例性确定与所述偏好信息匹配的第一菜品推荐信息；发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。如此，能够根据用户的订餐记录进行自动配餐，节约了用户的时间，并提升了用户的体验。
附图说明
在附图(其不一定是按比例绘制的)中，相似的附图标记可在不同的视图中描述相似的部件。具有不同字母后缀的相似附图标记可表示相似部件的不同示例。附图以示例而非 限制的方式大体示出了本文中所讨论的各个实施例。
图1为本公开实施例一配餐方法的实现流程示意图；
图2为本公开实施例二配餐方法的实现流程示意图；
图3-1为本公开实施例三提供的配餐方法的客户端处理流程示意图；
图3-2为本公开实施例三提供的配餐方法的服务器处理流程示意图；
图4为本公开实施例四配餐装置的组成结构示意图。
具体实施方式
为使本公开实施例的目的、技术方案和优点更加清楚，下面将结合本公开实施例中的附图，对发明的示例性技术方案做示例性详细描述。以下实施例用于说明本公开，但不用来限制本公开的范围。
实施例一
外卖作为一种方便快捷的订餐方式，现在越来越受到广大年轻客户的欢迎。对于某些选择困难症患者来说，这却是一件爱恨纠结的事情，左挑右选还是不知道选哪家店哪个餐品，好不容易选了一个喜欢的,转眼已经卖光；或者忘记点餐不知不觉过了饭点到了高峰期，又得多等好长时间才能吃上餐品，造成延迟就餐。
为了解决上述技术问题，本公开实施例提供一种配餐方法，应用于配餐装置，图1为本公开实施例一配餐方法的实现流程示意图，如图1所示，所述方法包括：
步骤S101，确定用户的偏好信息；这里，步骤S101确定用户的偏好信息可以是由配餐装置来实现的，在实际应用中配餐装置可以是一个服务器设备。
在本公开的其他实施例中，确定用户的偏好信息可以包括但不限于以下几种实现方式：第一种，根据所述用户的订餐记录确定所述用户的偏好信息；第二种，根据所述用户在订餐APP上提供的设置用户偏好信息栏输入用户的偏好信息；第三种，对用户输入的记录进行分析，确定用户的偏好信息。比如，可以根据用户在搜索栏输入的关键性确定用户的偏好信息。
如果是根据所述用户的订餐记录确定所述用户的偏好信息，则步骤S101的示例性实现过程包括：步骤S101a，获取所述用户的订餐记录；步骤S102b，对所述订餐记录进行分析，确定所述用户的偏好信息。
在本公开其他实施例中，所述步骤S101a的实现过程包括：接收用户发送的第一消息；其中，所述第一消息至少包括自动配餐开关的状态和所述用户的标识信息；解析所述第一消息，确定所述自动配餐开关的状态和所述用户的标识信息；判断所述第一消息中自动配餐开关的状态是否为打开状态；如果所述自动配餐开关的状态为打开状态，根据所述用户的标识信息确定所述用户的订餐记录。
在本公开其他实施例中，所述步骤S101b的实现过程包括：将所述订餐记录中出现次数最多的菜品类型确定为所述用户偏好的菜品类型；将所述用户偏好的菜品类型，确定 为所述用户的偏好信息。这样，服务器可以根据用户以往的订餐记录，得出用户最喜欢的菜品类型，了解用户偏好的口味，确定用户的偏好信息。
在本公开的其他实施例中，为了更加准确的确定用户的偏好信息，比如用户的消费水平、以及用户偏好的店铺等级等信息，所述步骤S101b的实现过程还可以包括：根据所述订餐记录，确定每一预设的消费金额范围的第一订餐次数；将所述第一订餐次数中最大值对应的消费金额范围确定为用户偏好的消费水平；根据所述订餐记录，确定每一预设的店铺评分范围的第二订餐次数；将所述第二订餐次数中最大值对应的店铺评分范围确定为用户偏好的店铺等级；根据所述用户偏好的菜品类型、用户偏好的消费水平和所述用户偏好的店铺等级确定所述用户的偏好信息。
步骤S102，确定与所述偏好信息匹配的第一菜品推荐信息；这里，当所述的偏好信息包括菜品类型时，所述步骤S102的实现过程包括：确定与所述偏好信息中的菜品类型匹配的第一菜品信息集合；从所述第一菜品信息集合中选取任意一个第一菜品信息，并将所述第一菜品信息确定为第一菜品推荐信息。这样，就可以根据用户的偏好信息确定与用户偏好的菜品类型相匹配的菜品，推荐给用户。
在本公开的其他实施例中，为了给用户更好的体验，可以对包括菜品类型、消费水平以及店铺等级的偏好信息进行匹配，确定第一菜品推荐信息。此时，所述步骤S102的示例性实现过程包括：确定与所述偏好信息中的菜品类型、消费水平和店铺等级都匹配的第四菜品信息集合；从所述第四菜品信息集合中选取任意一个第二菜品信息，并将所述第二菜品信息确定为第一菜品推荐信息。
示例性地，所述确定与所述偏好信息中的菜品类型、消费水平和店铺等级都匹配的第四菜品信息集合的示例性实现过程包括：确定与所述偏好信息中的第一属性匹配的第二菜品信息集合；其中，所述第一属性是菜品类型、消费水平和店铺等级中的任意一个属性；从所述第二菜品信息集合中确定与所述偏好信息中的第二属性匹配的第三菜品信息集合；其中，所述第二属性是从菜品类型、消费水平和店铺等级中除去第一属性中的任意一个属性；从所述第三菜品信息集合中确定与所述偏好信息中的第三属性匹配的第四菜品信息集合；其中，所述第三属性是从菜品类型、消费水平和店铺等级中除去第一属性和所述第二属性的属性。
这样，综合考虑了用户对菜品类型、消费水平以及店铺等级多方面的要求，可以为用户推荐更合适的菜品。
比如，所述第一属性是菜品类型，用户的偏好信息中的菜品类型是川菜，则确定与川菜匹配的第二菜品信息集合；比如第二菜品信息集合包括：麻婆豆腐，15元，店铺1，五星、水煮肉片，25元，店铺1，4.5星、鱼香茄子，13元，店铺2，3.5星、辣子鸡，30元，店铺3，5星，再从第二菜品集合中确定满足剩下的两个属性中第二属性的第三菜品集合，也就是说第三菜品集合是满足了第一属性和第二属性的菜品集合。
比如，第二属性是消费金额，用户的偏好信息中的消费金额为低于25元，则此时第 三菜品集合为：麻婆豆腐，15元，店铺1，五星、鱼香茄子，13元，店铺2，3.5星。
最后从第三菜品集合中确定满足第三属性的第四菜品集合，此时，第三属性为店铺等级，比如用户偏好信息中店铺等级为大于4星，则第四菜品集合为麻婆豆腐，15元，店铺1，五星。再将第四菜品集合中的任意一个菜品信息确定为第一菜品推荐信息。
步骤S103，发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。
这里，首先判断是否到达用户设置的配餐确认提醒时间；如果到达所述配餐确认提醒时间，再将所述第一菜品推荐信息携带于第一预约订单中发送给所述用户。这样，可以在达到用户预设的配餐确认提醒时间时，将第一预约订单发送给用户，可以避免用户因为错过忘记提前预订外卖，到就餐高峰期时才来预定外卖，此时配送时间就会大大延迟，导致不能按时就餐。
在本公开实施例提供的配餐方法中，通过根据用户的标识信息确定用户的订餐记录；对所述订餐记录进行分析，得到所述用户的偏好信息；确定与所述偏好信息匹配的第一菜品推荐信息；发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。如此，能够根据用户的订餐记录进行自动配餐，提高了点餐的速度，进而节约了用户的时间，解决因为选择困难症或者忘记提前点餐而导致的延迟就餐的问题，从而提高了用户的体验。
实施例二
目前所有外卖产品均是由用户自己选择餐品、菜品、以及店家，选择完毕后确认提交订单，再由商家进行外卖的配送，如果用户有选择困难症或者忘记点餐，尤其在外卖高峰期点餐慢了会影响外卖送达时间；除此之外，对于商家来说，所有客户自由点餐可能会引起预估不够，导致食材准备不匹配的问题，如果某种菜品在某天特别受到客户欢迎，极可能引起食材不够，再去采购食材必会导致配送时间延迟，非常影响用户体验。除此之外，用户不懂营养搭配导致所选餐品营养没有均衡搭配，影响到身体健康。
为了解决上述技术问题，本公开实施例再提供一种配餐方法，图2为本公开实施例二配餐方法的实现流程示意图，如图2所示，所述方法包括：
步骤S201，用户向服务器发送第一消息；这里，所述第一消息至少包括自动配餐开关的状态和所述用户的标识信息。当自动配餐开关的状态为打开状态时，所述第一消息还包括用户设置的配餐确认提醒时间。
步骤S202，服务器接收并解析所述第一消息，得到所述自动配餐开关的状态和所述用户的标识信息。
步骤S203，所述服务器判断所述自动配餐的开关状态是否是打开状态；是则进入步骤S204，否则结束流程。
步骤S204，所述服务器根据所述用户的标识信息确定所述用户的订餐记录。
步骤S205，所述服务器对所述订餐记录进行分析，得到所述用户的偏好信息。
步骤S206，所述服务器确定与所述偏好信息匹配的第一菜品推荐信息。
步骤S207，所述服务器发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。
步骤S208，用户接收到第一预约订单后，向所述服务器发送第二消息。
这里，用户接收到第一预约订单后，查看第一预约订单中的菜品，如果是自己想吃的，会向所述服务器发送携带有同意下单的第二消息，如果用户对第一预约订单不满意，则会向所述服务器发送携带有不同意下单的第二消息。
步骤S209，所述服务器接收并解析所述第二消息，得到所述用户的反馈消息。
步骤S210，所述服务器判断所述反馈信息是否为同意下单。
步骤S211，如果所述反馈信息为同意下单，则所述服务器将所述第一预约订单发送至所述第一预约订单对应的商家。
这里，所述商家接收到所述第一预约订单后，按照所述第一预约订单进行餐品准备；准备完成后进行配送，并实时更新配送状态；用户接收外卖后进行付款及评价。
步骤S212，所述服务器向用户发送第三消息。
这里，所述第三消息用于通知用户所述第一预约订单已发送至所述第一订单对应的商家。
步骤S213，如果所述反馈信息为不同意下单，则所述服务器确定与所述偏好信息匹配的第二菜品推荐信息。
这里，如果用户反馈不同意下单，则所述服务器会重新为用户选择一个不同于第一菜品推荐信息的第二菜品推荐信息供用户选择。
步骤S214，将携带有所述第二菜品推荐信息的第二预约订单发送给所述用户。
这里，第二预约订单是因为用户不满意第一预约订单，服务器再次进行选择，根据第二菜品推荐信息生成的，这时肯定已经达到了用户设定的配餐确认提醒时间，因此不用再次判断是否到达用户设置的配餐确认提醒时间，而是直接将所述第二预约订单发送给所述用户。
需要说明的是，本实施例中与其它实施例中相同步骤或概念的解释可以参考其它实施例中的描述，此处不再赘述。
本公开实施例提供的配餐方法，通过根据用户的标识信息确定用户的订餐记录；对所述订餐记录进行分析，得到所述用户的偏好信息；确定与所述偏好信息匹配的第一菜品推荐信息；发送携带有所述第一菜品推荐信息的第一预约订单给所述用户，如果用户同意下单则将所述第一预约订单发送给所述第一预约订单对应的商家，如果用户不同意下单，则再次确定与所述偏好信息匹配的第二菜品推荐信息；将携带有所述第二菜品推荐信息的第二预约订单发送给所述用户，直至用户满意。这样，服务器可以根据用户以往的订餐记录，自动为用户选择菜品，免去了用户因为面对太多的选择反而一时不好做出选择，而导致耽误了点餐时间的问题，提高了用户的体验。
实施例三
本公开实施例先提供一种配餐方法，本实施例中配餐方法需要客户端及服务器端共同配合完成，以下将分别介绍客户端以及服务器端的处理流程。
一、客户端处理流程
客户端侧需要提供界面给用户进行自动配餐的设置，包括设置是否允许自动配餐，以及配餐订单提供时间等，同时在开启了允许自动配餐服务后，能够接收到是否已经配餐的状态通知，以及配送状态的推送通知，能够展示详情。图3-1为本公开实施例三提供的配餐方法的客户端处理流程示意图，如图3-1所示，本公开实施例三提供的方法的客户端处理流程示例性包括：
步骤S311，用户打开自动配餐设置界面。
步骤S312，用户选择是否打开自动配餐开关。
步骤S313，如果用户选择打开自动配餐，则提供界面给用户设置配餐确认提醒时间；如果用户选择关闭开关，则直接显示关闭。
步骤S314，用户设置完毕后，保存设置；将此设置上传至后台(即服务器侧)。
这里，用户设置完成后需要将设置的开关状态，以及配餐订单提醒时间的信息发送给服务器侧，以便服务器侧进行菜品的自动配餐及订单配送。
二、服务器侧处理流程
在服务器侧处理流程中，需要在上述客户端打开自动配餐开关的前提下才能进行。图3-2为本公开实施例三提供的配餐方法的服务器侧处理流程示意图，如图3-2所示，本公开实施例三提供的方法的服务器侧的处理流程示例性包括：
步骤S321，接收客户端上报的用户设置的自动配餐设置信息。
步骤S322，服务器收集该用户之前的订餐记录。
步骤S323，根据用户的记录进行分析，推断出用户所喜欢的菜品类型，以及店铺等级，和消费水平等信息。
这里，步骤S323所述的匹配需要后台根据用户之前的订餐记录，分析出用户的口味偏好、商家等级、可接受价格范围等因素，来进行商家以及商家所提供餐品的匹配，同时还可以根据商家订单的忙闲程度，及营养搭配等进行适度调配，尽量做到在最优时间，以最优价格，提供最优餐品的最优服务。
步骤S324，根据用户分析结果，查找匹配的店铺及菜品。
步骤S325，对查找出来的菜品预约下单，并在用户设定的提醒时间发送订单信息给用户确认。
步骤S326，判断用户是否同意下单。
步骤S327，如果用户同意下单，则自动完成下单完成后通知客户端及商家；如果用户不同意当前订单，则重新匹配其它的店铺及菜品，再行与用户确认，直到用户最终确认后自动下单。
这里，商家接收到订单后，按照所述订单进行餐品准备，准备完成后进行配送，并实 时更新配送状态；用户接收外卖后进行付款及评价。
本公开实施例提供的自动配餐方法，由客户端进行开关及确认订单提醒时间等信息设置，服务器侧统一根据用户之前的订餐记录，分析用户口味偏好等信息，根据此信息进行餐品，店铺匹配，及下单确认及配送管理等工作。
本公开实施例提供的自动配餐方法，用于难以选择，或者忘记提前选择餐品所引起的不能按时就餐的问题，可能存在的场景如下：(1)选择困难症患者在众多菜品中难以决择想吃什么，左选右选挑花了眼，导致一时不能下单；(2)忘记提前预订外卖，到就餐高峰期时才来预定外卖，此时配送时间就会大大延迟，导致不能按时就餐。
通过本公开实施例提供的自动配餐方法，遇到上面所述场景时能够提前选择餐品并下单，并以自己所能接受价格范围，在正餐时间享受美食，也完美的绕开了选择困难症，节约用户的时间，或许某些餐品还能带给用户惊喜，极大的提升了用户体验。
实施例四
本公开实施例提供一种配餐装置，图4为本公开实施例四配餐装置的组成结构示意图，如图4所示，所述配餐装置400包括：第一确定模块401、第二确定模块402、第一发送模块403、接收模块404、解析模块405、第一判断模块406、第二发送模块407、第三发送模块408、第三确定模块409和第四发送模块410。
其中：所述第一确定模块401，用于确定用户的偏好信息；这里，所述第一确定模块401示例性包括：
获取单元，用于获取所述用户的订餐记录(订餐记录的获取特别是如何获取并非该专利的必要技术特征，即使有必要出现，也不用详细说明)。
第一确定单元，用于对所述订餐记录进行分析，确定所述用户的偏好信息。
这里，所述第一确定单元示例性包括：第一确定子单元，用于将所述订餐记录中出现次数最多的菜品类型确定为所述用户偏好的菜品类型。
第二确定子单元，用于将所述用户偏好的菜品类型，确定为所述用户的偏好信息。
为了更加准确的了解用户的偏好信息，所述第一确定单元还可以包括：第三确定子单元，用于根据所述订餐记录，确定每一预设的消费金额范围的第一订餐次数。
第四确定子单元，用于将所述第一订餐次数中最大值对应的消费金额范围确定为用户偏好的消费水平。
第五确定子单元，用于根据所述订餐记录，确定每一预设的店铺评分范围的第二订餐次数。
第六确定子单元，用于将所述第二订餐次数中最大值对应的店铺评分范围确定为用户偏好的店铺等级。
第七确定子单元，用于根据所述用户偏好的菜品类型、用户偏好的消费水平和所述用户偏好的店铺等级确定所述用户的偏好信息。
所述第二确定模块402，用于确定与所述偏好信息匹配的第一菜品推荐信息。
这里，所述第二确定模块402示例性包括：第二确定单元，用于确定与所述偏好信息中的菜品类型匹配的第一菜品信息集合。
第三确定单元，用于从所述第一菜品信息集合中选取任意一个第一菜品信息，并将所述第一菜品信息确定为第一菜品推荐信息。
相应的，当所述偏好信息还包括用户偏好的消费水平和店铺等级时，所述第二确定模块402示例性包括：第四确定单元，用于确定与所述偏好信息中的菜品类型、消费水平和店铺等级都匹配的第四菜品信息集合。
第五确定单元，用于从所述第四菜品信息集合中选取任意一个第二菜品信息，并将所述第二菜品信息确定为第一菜品推荐信息。
示例性地，所述第四确定单元包括：
第八确定子单元，用于确定与所述偏好信息中的第一属性匹配的第二菜品信息集合；其中，所述第一属性是菜品类型、消费水平和店铺等级中的任意一个属性。；
第九确定子单元，用于从所述第二菜品信息集合中确定与所述偏好信息中的第二属性匹配的第三菜品信息集合；其中，所述第二属性是从菜品类型、消费水平和店铺等级中除去第一属性中的任意一个属性。
第十确定子单元，用于从所述第三菜品信息集合中确定与所述偏好信息中的第三属性匹配的第四菜品信息集合；其中，所述第三属性是从菜品类型、消费水平和店铺等级中除去第一属性和所述第二属性的属性。
所述第一发送模块403，发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。
这里，所述第一发送模块403示例性包括：第二判断单元，用于判断是否到达用户设置的配餐确认提醒时间。
发送单元，用于如果到达所述配餐确认提醒时间，将所述第一菜品推荐信息携带于第一预约订单中发送给所述用户。
所述接收模块404，用于接收用户发送的第二消息；其中，所述第二消息中携带有用户的反馈信息。
所述解析模块405，用于解析所述第二消息，得到用户的反馈信息。
所述第一判断模块406，用于判断所述反馈信息是否为同意下单。
所述第二发送模块407，用于如果所述反馈信息为同意下单，则将所述第一预约订单发送至所述第一预约订单对应的商家。
所述第三发送模块408，用于向客户端发送第三消息；其中，所述第三消息用于通知客户端所述第一预约订单已发送至所述第一订单对应的商家。
所述第三确定模块409，用于如果所述反馈信息为不同意下单，则确定与所述偏好信息匹配的第二菜品推荐信息。
所述第四发送模块410，用于将所述第二菜品推荐信息携带于第二预约订单中发送给所述用户。
这里需要指出的是：以上配餐装置实施例的描述，与上述方法实施例的描述是类似的，具有同方法实施例相似的有益效果，因此不做赘述。对于本公开配餐装置实施例中未披露的技术细节，请参照本公开方法实施例的描述而理解，为节约篇幅，因此不再赘述。
本领域内的技术人员应明白，本公开的实施例可提供为方法、系统、或计算机程序产品。因此，本公开可采用硬件实施例、软件实施例、或结合软件和硬件方面的实施例的形式。而且，本公开可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器和光学存储器等)上实施的计算机程序产品的形式。
本公开是参照根据本公开实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
以上所述，仅为本公开的较佳实施例而已，并非用于限定本公开的保护范围。
工业实用性
本公开涉及的配餐方法及装置，够提前选择餐品并下单，并以自己所能接受价格范围，在正餐时间享受美食，也完美的绕开了选择困难症，节约用户的时间，或许某些餐品还能带给用户惊喜，极大的提升了用户体验。

Claims (11)

  1. 一种餐方法，其中，所述方法包括：
    确定用户的偏好信息；
    确定与所述偏好信息匹配的第一菜品推荐信息；
    发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。
  2. 根据权利要求1中所述的方法，其中，所述确定用户的偏好信息，包括：
    获取所述用户的订餐记录；
    对所述订餐记录进行分析，确定所述用户的偏好信息。
  3. 根据权利要求2中所述的方法，其中，所述对所述订餐记录进行分析，确定所述用户的偏好信息，包括：
    将所述订餐记录中出现次数最多的菜品类型确定为所述用户偏好的菜品类型；
    将所述用户偏好的菜品类型，确定为所述用户的偏好信息。
  4. 根据权利要求3中所述的方法，其中，所述对所述订餐记录进行分析，确定所述用户的偏好信息，还包括：
    根据所述订餐记录，确定每一预设的消费金额范围的第一订餐次数；
    将所述第一订餐次数中最大值对应的消费金额范围确定为用户偏好的消费水平；
    根据所述订餐记录，确定每一预设的店铺评分范围的第二订餐次数；
    将所述第二订餐次数中最大值对应的店铺评分范围确定为用户偏好的店铺等级；
    根据所述用户偏好的菜品类型、用户偏好的消费水平和所述用户偏好的店铺等级确定所述用户的偏好信息。
  5. 根据权利要求3中所述的方法，其中，所述确定与所述偏好信息匹配的第一菜品推荐信息，包括：
    确定与所述偏好信息中的菜品类型匹配的第一菜品信息集合；
    从所述第一菜品信息集合中选取任意一个第一菜品信息，并将所述第一菜品信息确定为第一菜品推荐信息。
  6. 根据权利要求4中所述的方法，其中，所述确定与所述偏好信息匹配的第一菜品推荐信息，包括：
    确定与所述偏好信息中的菜品类型、消费水平和店铺等级都匹配的第四菜品信息集合；
    从所述第四菜品信息集合中选取任意一个第二菜品信息，并将所述第二菜品信息确定为第一菜品推荐信息。
  7. 根据权利要求1-6中任一所述的方法，其中，所述将所述第一菜品推荐信息携带于第一预约订单中发送给所述用户，包括：
    判断是否到达用户设置的配餐确认提醒时间；
    如果到达所述配餐确认提醒时间，将所述第一菜品推荐信息携带于第一预约订单中发 送给所述用户。
  8. 根据权利要求1-6中任一所述的方法，其中，所述方法还包括：
    接收用户发送的第二消息；其中，所述第二消息中携带有用户的反馈信息；
    解析所述第二消息，得到用户的反馈信息；
    判断所述反馈信息是否为同意下单；
    如果所述反馈信息为同意下单，则将所述第一预约订单发送至所述第一预约订单对应的商家。
  9. 根据权利要求1-6中任一所述的方法，其中，所述方法还包括：
    如果所述反馈信息为不同意下单，则确定与所述偏好信息匹配的第二菜品推荐信息；
    将携带有所述第二菜品推荐信息的第二预约订单发送给所述用户。
  10. 一种配餐装置，其中，所述装置包括：
    第一确定模块，设置为确定用户的偏好信息；
    第二确定模块，设置为确定与所述偏好信息匹配的第一菜品推荐信息；
    第一发送模块，发送携带有所述第一菜品推荐信息的第一预约订单给所述用户。
  11. 一种存储介质，设置为存储程序代码，所述程序代码用于执行权利要求1至9中任一项所述方法。
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