WO2019223297A1 - 一种点餐方法及装置，电子设备 - Google Patents

一种点餐方法及装置，电子设备 Download PDF

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Publication number
WO2019223297A1
WO2019223297A1 PCT/CN2018/121958 CN2018121958W WO2019223297A1 WO 2019223297 A1 WO2019223297 A1 WO 2019223297A1 CN 2018121958 W CN2018121958 W CN 2018121958W WO 2019223297 A1 WO2019223297 A1 WO 2019223297A1
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WO
WIPO (PCT)
Prior art keywords
menu
dishes
dish
information
current user
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Application number
PCT/CN2018/121958
Other languages
English (en)
French (fr)
Inventor
任彬
高志鑫
张艳霞
曾轲
蔡勋梁
Original Assignee
北京三快在线科技有限公司
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Publication date
Application filed by 北京三快在线科技有限公司 filed Critical 北京三快在线科技有限公司
Priority to KR1020207030476A priority Critical patent/KR20200136445A/ko
Publication of WO2019223297A1 publication Critical patent/WO2019223297A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • 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
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants

Definitions

  • the present application relates to the field of computer technology, and in particular, to a method and device for ordering food, and electronic equipment.
  • the ordering system includes a single-person ordering system and a multi-person ordering system.
  • a single dish can be operated for ordering.
  • each user scans the ordering QR code through his own electronic device, and then chooses to add or delete a certain dish.
  • the ordering system uses the ordering QR code to order the order and menu. Connect and show to users who order food together.
  • the ordering process when the user does not add new dishes, the user's menu is blank, and the user needs to add dishes one by one to complete the order.
  • the user can only modify the menu by adding or reducing dishes. The completion of an order requires multiple additions and deletions, which results in inefficient ordering.
  • This application provides a method for ordering food, which can effectively improve the efficiency of ordering food.
  • an embodiment of the present application provides a method for ordering, including: determining a recommended menu for the current user based on target merchant information and current user information; and adjusting according to the menu input by the current user Information, adjust the recommended menu.
  • an embodiment of the present application provides an ordering device, including: an initial recommendation menu determination module for determining a recommendation menu for the current user based on target merchant information and current user information; a recommendation menu adjustment module, And configured to adjust the recommended menu according to the menu adjustment information input by the current user.
  • an embodiment of the present application further discloses an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the computer program To implement the ordering method described in the embodiments of the present application.
  • an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored.
  • the program is executed by a processor, the ordering method disclosed in the embodiment of the present application.
  • the ordering method disclosed in the embodiment of the present application first determines a recommended menu for the current user based on target merchant information and current user information, and then adjusts the recommended menu according to the menu adjustment information input by the current user, Improved ordering efficiency.
  • FIG. 3 is a schematic structural diagram of an ordering device according to a third embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of another ordering device according to Embodiment 3 of the present application.
  • FIG. 1 An ordering method disclosed in this embodiment is shown in FIG. 1. The method is applied to an ordering system and includes steps 110 and 120.
  • Step 110 Determine a recommendation menu for the current user based on the target merchant information and the current user information.
  • the current user in the embodiment of the present application is an ordering user, which may be a single person or multiple persons.
  • the ordering system for which the application is applied may include an ordering client and an ordering server.
  • the target merchant in the embodiment of the present application is that after the current user enters a certain restaurant, the ordering system may locate the current user according to the ordering client installed on the mobile terminal of the current user, and The restaurant where the current user is located is identified as the target business.
  • the ordering system may determine the target merchant according to the ordering client used by the current user, for example, the ordering client is a merchant's dedicated device, and the target merchant may be directly determined; if it is an ordering client installed by the current user , The user can confirm the target business by entering the business name.
  • the current user enters the target merchant through an ordering client installed on an electronic device, such as a smartphone, a PAD (tablet computer), and an AR (Augmented Reality, Augmented Reality) projection client.
  • an ordering client installed on an electronic device, such as a smartphone, a PAD (tablet computer), and an AR (Augmented Reality, Augmented Reality) projection client.
  • a restaurant where the current user orders.
  • the current user may input the target merchant through voice input or text input.
  • a recommendable dish of the target merchant needs to be determined.
  • the recommended dish of the target merchant may be a dish of the target merchant itself.
  • the dishes of the target merchant can be obtained through any one or more of the following channels: obtaining dishes uploaded by the target merchant to the ordering system, analyzing historical order data of the target merchant and extracting dishes, and user reviews of the target merchant The data is analyzed and the dishes are extracted, the dishes of the target merchant are obtained through the interface opened by the third-party platform, and the dishes of other merchants in the same category as the target merchant are obtained.
  • the main dish side dish information, the meal time, and the predetermined collocation information of the dishes combined with the current number of users and the meal time, from the recommendable dishes of the target merchant Determine the recommended menu.
  • Step 120 Adjust the recommended menu according to the menu adjustment information input by the current user.
  • the recommendation menu may be displayed to the current user. Further, information of a certain dimension or multiple dimensions of the recommendation menu may also be displayed according to the operation of the current user. Furthermore, the current user may adjust the information by inputting a menu, for example, inputting a menu to add a menu, deleting a menu, adjusting the overall menu price, adjusting a menu taste, and the like.
  • the ordering system adjusts the recommended menu based on the menu adjustment information specified by the user.
  • the ordering system displays the adjusted recommendation menu in real time for users to repeatedly adjust and browse the adjusted recommendation menu.
  • the ordering method disclosed in the embodiment of the present application first determines a recommended menu for the current user based on target merchant information and current user information, and then adjusts the recommended menu according to the menu adjustment information input by the current user, Improved the efficiency of ordering.
  • FIG. 2 An ordering method disclosed in this embodiment is shown in FIG. 2. The method is applied to an ordering system and includes steps 210 to 250.
  • Step 210 Determine the information on the contraindication of the dishes.
  • the menu matching taboo information when determining a recommended menu for the current user based on the target merchant information and the current user information, firstly, it is necessary to determine the menu matching taboo information.
  • the information on the contraindication of dishes can be determined according to the frequency of co-occurrence of dishes in the historical menu and / or common sense of the dishes.
  • the dish matching taboo information includes at least information on suitable main dishes and / or information on unsuitable main dishes.
  • the probability of any two dishes in the historical menu information appearing in a menu at the same time can be determined to determine whether the two dishes are suitable for matching. For example, the dish “Fish Flavored Pork” and “Kung Pao Chicken” appear very low at the same time. If it is less than 10%, the dish “Fish Flavored Pork” and “Kung Pao Chicken” are not suitable for matching. The dishes “Steamed Sea Bass” and “Kung Pao Chicken” appear at a high probability at the same time. If it is higher than 60%, the dishes “Steamed Sea Bass” and "Kung Pao Chicken” can be considered to be suitable.
  • dish matching taboo information based on dish matching common sense
  • the dishes “roasted leg of lamb” and “roasted leg of lamb” are similar, so the dish “roasted leg of lamb” and “roasted leg of lamb” are not suitable for matching.
  • Step 220 Determine a recommendation menu for the current user based on the target merchant information and the current user information.
  • a recommendable dish of the target merchant is determined. Then, according to the number of current users, the respective numbers of main dishes and side dishes corresponding to the target merchant are determined. Finally, according to the respective numbers of the recommendable dishes, the main dishes and the side dishes, and predetermined taboo information of the dishes, a recommendation menu of the target merchant for the current user is determined.
  • the tabulation information of the dish pairing may be determined; or in the process of determining the recommended menu for the current user, Before describing the number of recommendable dishes, the number of main dishes and side dishes, and the predetermined dish matching taboo information, before determining the step of recommending a menu for the current user, determine the dish matching taboo information.
  • the dishes of the target merchant are used as recommended dishes.
  • the target merchant's own dishes can be obtained through any one or more of the following channels: obtaining dishes uploaded by the target merchant to the ordering system, analyzing historical order data of the target merchant and extracting dishes, and analyzing the target merchant To analyze and extract the dishes, and obtain the dishes of the target merchant through the interface opened by the third-party platform.
  • the dishes of the target merchant obtained through the above channels are relatively scarce, the dishes of other merchants in the same category can also be used as recommended dishes of the target merchant according to the category of the target merchant, such as Sichuan cuisine and Beijing cuisine. .
  • the dishes of the same type of merchant as the recommendable dishes of the target merchant, it is still possible to recommend a more suitable menu for the user when the target merchant does not upload the dishes in time.
  • the target merchant Before determining the respective numbers of main dishes and side dishes corresponding to the target merchant, it also includes determining the main dish attributes of the recommendable dishes according to the historical order information including only one dish; according to the history including only two dishes
  • the order information determines the side dish attributes of the recommendable dishes. That is, the main dish is a dish determined based on historical order information including only one dish; the side dish is a dish determined based on historical order information including only two dishes and the main dish.
  • the difference between a main course and a side dish is that the number of main dishes during a meal for a specific number of people fluctuates less, while the side dishes fluctuate more.
  • the main dish or side dish attributes can be determined based on the user's historical order data, such as the order data of the merchant under the ordering system and the takeaway order data.
  • the main dish attribute of a dish is determined based on the historical frequency of the dish and the price of the dish in an order that includes only one dish.
  • the preset frequency threshold and the preset price threshold can be determined based on experience.
  • the side dish attribute of the dish is determined according to the frequency of the non-main dish dish and the main dish dish appearing simultaneously in the order including two dishes. For example, in the order of two separate dishes and one of the dishes is the main dish, the frequency of the other dish in the historical order of the two separate orders is greater than 30%, then the attribute of the other dish may be determined as a match dish.
  • the number of main dishes and side dishes corresponding to the target merchant needs to be further determined according to the number of current users.
  • the amount of dishes and styles of different businesses vary, so the same number of people and the number of dishes to be ordered in different restaurants are different.
  • the target merchant is suitable for ordering under different circumstances. Dish quantity range.
  • the number of main dishes in the order of the target merchant can be counted, and the distribution curve of the number of main dishes and the number of people is determined according to the number of main dishes in the order of different people, and then the main dish of the target merchant can be obtained according to the distribution curve Quantity range.
  • the target merchant's The main course ranges from 2 to 3.
  • the range of side dishes corresponding to the number of people of the target merchant can be determined. After that, according to a predetermined number of people and a corresponding relationship with the number of main dishes, a respective number range of main dishes and side dishes corresponding to the number of the current users is determined. Furthermore, you can also consider the time of meals.
  • the statistics are performed in different periods to determine the range of the number of main side dishes that the target merchant is suitable for ordering under a specific time period and different numbers of people.
  • a recommendation menu for the current user is determined according to the respective numbers of the recommendable dishes, the main dishes and the side dishes, and predetermined dish matching taboo information. Assume that the current number of users is 3, and determine that the recommended menu includes 2 main dishes and a side dish according to the correspondence between the meal time, the number of people, and the number of main dishes. You can first randomly select a main dish from the recommendable dishes Dishes, and then select a second main course from the recommendable dishes that is suitable for the first main course according to the dish matching taboo information, and then select one and the two selected main courses according to the menu matching taboo information Pairing side dishes. So far, a recommendation menu for the current user is generated.
  • Step 230 Determine and display the recommended menu, where the displayed content includes menu information of at least one overall menu dimension of the recommended menu.
  • the multi-dimensional information of the recommendation menu may be displayed to the current user, so that the user can interact with the ordering system. For example, browsing the information of each dimension of the recommendation menu, or adjusting the information of the dimension of the recommendation menu displayed to the current user.
  • the multi-dimensional information is selected from the overall menu dimension, including but not limited to any one of the following dimensions or a combination of multiple dimensions: the number of dishes, the price per capita, the total price, vegetarian food, cold and hot, ingredients, calories, taste Distribution and nutrition.
  • the number of dishes, per capita price, total price, vegetarian food, hot and cold, and taste distribution can be determined according to detailed information such as the name and ingredients of each dish included in the recommended menu.
  • the caloric status and nutritional status can be determined through online dish knowledge mining technology and statistical analysis.
  • the ordering system may set an interface for voice input or text input on the interface displaying the recommendation menu for use by the user.
  • the current user may select a preset dimension of the recommendation menu by inputting voice or text or touching a key displayed on the interface.
  • the ordering system displays the menu information of the dimension selected by the user of the recommended menu to the current user according to the operation of the current user.
  • the client of the ordering system sends the acquired voice data to the server of the ordering system for identification; and then, according to the recognition result, it is determined that the display unit needs to be displayed The overall price of the recommendation menu; after that, the server of the ordering system generates information showing the overall price according to the overall price, and sends the information to the client of the ordering system, and the client displays the recommendation menu The overall price.
  • the dimensions of the recommended menu that the user can operate include the overall menu dimension and a single dish dimension, wherein the overall menu dimension includes any one of the following dimensions: the number of dishes, taste, price, vegetarian food, cold and hot, ingredients, nutrition; the single The dish dimension includes any of the following dimensions: lock the designated dish, unlock the designated dish, exclude the designated dish, delete the dish, and add the dish.
  • Step 240 Acquire menu adjustment information input by the current user.
  • Acquiring the menu adjustment information input by the current user includes, but is not limited to, any of the following methods: acquiring menu adjustment information input by the current user through his own ordering client via a preset information input interface; acquiring the current user Through the menu adjustment information input by the ordering client of the target merchant via a preset information input interface, the number of the current users is greater than or equal to one.
  • the preset information input interface includes, but is not limited to, at least one of the following: a voice input interface, a text input interface, and a key input interface.
  • the menu adjustment information input by the current user may be adjustment information of an overall menu dimension or adjustment information of a single menu dimension.
  • the key input may be an input triggered by a user to trigger a physical key execution, or an input executed by a user to trigger a virtual key displayed on the ordering client screen.
  • the current user may click the preset button to add or delete dishes, enter a desired menu price, enter a desired amount of meat dishes and vegetarian dishes, etc. through the ordering client interface installed on the mobile terminal of the current user.
  • the current user uses the order client interface installed on the mobile terminal of the current user to use voice input to add or delete dish instructions, enter a desired menu price, enter a desired amount of meat dishes and vegetarian dishes, etc.
  • the meal client sends the voice input by the user to the order server for recognition, and adjusts the recommendation menu according to the recognition result.
  • one or more users perform voice input through the ordering client of the target merchant, inputting order to add or delete dishes, entering a desired menu price, entering a desired amount of meat dishes and vegetarian dishes, etc., by the ordering client Send the voice input by the user to the ordering server for recognition, and adjust the recommended menu according to the recognition result.
  • the ordering method disclosed in this embodiment allows multiple users to operate the same ordering client at the same time, avoiding conflicts in dish operations, and can further improve Order efficiency.
  • Step 250 Adjust the recommended menu according to the menu adjustment information input by the current user.
  • the recommended menu may be adjusted according to the menu adjustment information of the overall menu dimension input by the current user, wherein the overall menu dimension includes any one of the following dimensions: the number of dishes, taste, and price , Vegetarian food, cold and hot, ingredients, nutrition.
  • the recommended menu may also be adjusted according to the menu adjustment information of the single dish dimension input by the current user, wherein the single dish dimension includes any one of the following dimensions: lock the designated dish, Unlock specified dishes, exclude specified dishes, delete dishes, add dishes.
  • Adjusting the recommended menu according to the menu adjustment information input by the current user includes: determining an alternative recommended menu that matches the menu adjustment information according to the menu adjustment information input by the current user; judging the alternative recommended menu Whether to match the predetermined dish with taboo information, and if it matches, the alternative recommended menu is used as the adjusted recommendation menu; otherwise, skip to the menu adjustment information according to the current user input to determine that it conforms to the menu Steps of adjusting the alternative recommendation menu of the information and redetermining the alternative recommendation menu.
  • an alternative recommended menu that conforms to the menu adjustment information is determined according to the price input by the current user. Sort the dishes in the current recommended menu according to price, and replace the cheapest or most expensive ones with similar dishes with a price gap of more than 10%, so that the recommended menu generated after replacing the dishes is higher or lower than the current recommended menu.
  • similar dishes refer to those that are mostly similar in terms of vegetarian, cold and hot, ingredients, calories, taste, nutrition, etc., but with lower or higher prices to generate alternative recommended menus.
  • the ordering server recognizes the voice entered by the user and increases the number of dishes in the recommended menu according to the recognition result. Within a reasonable range of the number of main dishes, increase Number of main and side dishes, and generate alternative recommended menus. If the main dish has reached the predetermined maximum number of main dishes, side dishes can be added, and the number of side dishes can exceed the upper limit.
  • the order server recognizes the voice input by the user and reduces the proportion of spicy dishes in the recommended menu according to the recognition result. For example, the preset ratio is set. , Such as 1/3, replace spicy dishes with original or sweet dishes, and generate alternative recommended menus.
  • the taste information of the dish can be determined according to the dish attribute or the dish name.
  • the overall menu dimension input by the current user is the menu adjustment information of the vegetarian dimension, for example, the ratio of vegetarian dishes and vegetarian dishes, or the number of vegetarian dishes or vegetarian dishes, according to the current user input
  • the vegetarian ratio or the amount of meat dishes and / or the quantity of vegetable dishes are adjusted to determine an alternative recommended menu that matches the menu adjustment information. For example, if the user inputs “reduce amaranth” through a text box, the ordering server replaces a vegetarian dish with a preset ratio in the recommendation menu, such as 1/3, and generates a candidate recommendation menu.
  • the vegetarian attribute information of the dish can be determined according to the dish attribute or the dish name.
  • the ordering server may adjust the recommendation menu and generate an alternative recommendation menu by one or more of the following methods: replacing the meat dish in the recommendation menu For vegetarian dishes, replace the vegetarian dishes in the recommended menu with amaranth dishes, increase or decrease amaranth dishes, and increase or decrease vegetarian dishes.
  • the vegetarian attribute information of the dish can be determined according to the dish attribute or the dish name.
  • an alternative recommended menu that meets the menu adjustment information is determined. For example, if the user enters "love beef" through a text box, the ordering server generates a preparation by replacing dishes such as “pork” or “chicken” in the recommendation menu with dishes using "beef” as ingredients. Select the recommended menu.
  • the information about the ingredients of the dishes can be determined according to the attributes of the dishes or the names of the dishes.
  • the current user may input information such as a voice input interface, a text input interface, or a preset key set through the interactive interface of the ordering client to input adding dishes, deleting dishes, locking designated dishes, unlocking designated dishes, and Exclude single dish dimension menu adjustment information for specified dishes to add dishes, delete or lock dishes, unlock specified dishes, and exclude specified dishes to generate alternative recommended menus.
  • a certain dish is locked, when the menu is adjusted according to the menu adjustment information of the overall menu dimension, the locked dish will not be replaced. The user can delete the locked dish or Delete the locked dish by entering the menu adjustment information that unlocks the specified dish dimension.
  • the generated candidate recommendation menu needs to be further checked based on the predetermined dish matching taboo information. To determine whether the alternative recommendation menu matches the predetermined dish with taboo information, if it matches, the alternative recommendation menu is used as the adjusted recommendation menu; otherwise, skip to the whole according to the current user input
  • the unadjusted dishes in the alternative recommendation menu may be first confirmed as the quasi-determined dishes that match the predetermined dishes with taboo information; then, for each newly added menu in the alternative recommendation menu, judge one by one Whether it matches the quasi-determined dish with the contraindication information; if it matches, the current newly added dish is taken as the quasi-determined dish, and other additional dishes are continued to be judged; finally, for the quasi-determined dish that does not match A new dish is added with the taboo information, and according to the menu adjustment information input by the current user, other dishes that satisfy the menu adjustment information are selected, and an alternative recommended menu is regenerated.
  • the current recommended menu includes dish A, dish D, and dish E.
  • the current menu adjustment information entered by the user is the price dimension.
  • dish B in the original recommended menu is replaced by dish A.
  • new dish C is added, and the adjusted recommended menus obtained after adjustment include: dish B, dish D, dish E, and dish C.
  • dish taboo information it is determined that dish B matches dish D and dish E, and dish C matches dish B, dish D, and dish E. It does not match dish taboo information, and continues to choose dish D. Other dishes with similar prices will generate alternative recommended menus.
  • the current adjustment may also be abandoned, and the complete step of determining a candidate recommendation menu based on the menu adjustment information input by the current user may be performed again.
  • the recommendation menu is re-determined and displayed. If the current user is not satisfied with the adjusted recommended menu, the user may continue to enter the menu adjustment information until the menu is submitted and the order is completed.
  • the ordering method disclosed in the embodiment of the present application first determines a recommendable dish of a target merchant, a main dish of the recommendable dish, a side dish attribute, and a main dish and a side dish corresponding to the number of people and time according to the historical order data or related information.
  • Information such as the number of each dish, and then, based on the above information, combined with the current number of diners, predetermined dish matching taboo information, determine the target merchant's recommendation menu for the current user, and then obtain the user-entered recommendation menu in multiple ways Adjust the information to make multi-dimensional adjustments to the recommended menu based on the information entered by the user, and recommend the full menu directly at the initial stage of the ordering process, eliminating the need for the user to order one dish and one dish, bringing convenience and effectiveness to the user To improve the efficiency of ordering.
  • the recommended menu is checked by combining the dish matching taboo information, so that the recommended menu is more in line with the dish matching habits, and the possibility that the recommended menu meets the user's ordering needs is improved.
  • Multi-dimensional analysis and display of recommended menu information enables users to adjust the menu from multiple dimensions, making ordering more convenient, and supports users to make one-time adjustments to the overall menu through the overall menu dimension, which makes ordering efficiency very effective. Great improvement.
  • the user can conveniently view the detailed information of the current ordering result and express the ordering preferences in a dialogue form, instead of just adding or deleting a single dish using dialogue. Not only is it easy to order, but also personalized menu recommendations.
  • an ordering device disclosed in this embodiment includes:
  • the initial recommendation menu determining module 310 is configured to determine a recommendation menu for the current user based on the target merchant information and the current user information.
  • the recommended menu adjustment module 320 is configured to adjust the recommended menu according to the menu adjustment information input by the current user.
  • the ordering device disclosed in the embodiment of the present application first determines a recommendation menu for the current user based on the target merchant information and the current user information, and then adjusts the recommendation menu according to the menu adjustment information input by the current user. Effectively improve the efficiency of ordering.
  • the recommended menu adjustment module 320 is further configured to adjust the recommended menu according to the menu adjustment information of the overall menu dimension input by the current user, wherein the overall menu dimension includes any one of the following dimensions: dishes Quantity, taste, price, vegetarian food, hot and cold, ingredients, nutrition.
  • the recommended menu adjustment module 320 is further configured to adjust the recommended menu according to the menu adjustment information of the single dish dimension input by the current user, wherein the single dish dimension includes any one of the following dimensions: lock Designated dishes, unlocked specified dishes, exclude specified dishes, delete dishes, add dishes.
  • the recommended menu adjustment module 320 further includes:
  • the recommended menu adjustment sub-module 3201 is configured to determine an alternative recommended menu that conforms to the menu adjustment information according to the menu adjustment information input by the current user.
  • the menu dishes with taboo information checking sub-module 3202 is used to determine whether the alternative recommended menu matches the predetermined dish with taboo information, and if it matches, the alternative recommended menu is used as the adjusted recommendation menu, otherwise, jump to Go to the recommended menu adjustment sub-module and re-determine the candidate recommended menu.
  • the apparatus further includes: an acquisition menu adjustment information module 330, and the acquisition menu adjustment information module 330 is further configured to:
  • the device further includes:
  • a multi-dimensional information display module 340 is configured to determine and display the recommendation menu, wherein the displayed content includes menu information of at least one overall menu dimension of the recommendation menu.
  • the initial recommendation menu determining module 310 is further configured to:
  • a recommendable dish of the target merchant is determined.
  • the recommendation menu of the target merchant to the current user is determined according to the number of the recommendable dishes, the main dishes and the side dishes, and the predetermined menu matching taboo information.
  • the information on the contraindication of the dishes is determined according to the frequency of co-occurrence of the dishes in the historical menu and / or common sense of the dishes.
  • the main dish is a dish determined according to historical order information including one dish;
  • the side dish is a dish determined according to historical order information including two dishes and the main dish.
  • the ordering device disclosed in the embodiment of the present application first determines a recommendable dish of a target merchant, a main dish of the recommendable dish, a side dish attribute, and a main dish and a meal corresponding to the number of people and time according to the historical order data or related information.
  • Information such as the number of each dish, and then, based on the above information, combined with the current number of diners, predetermined dish matching taboo information, determine the target merchant's recommendation menu for the current user, and then obtain the user-entered recommendation menu in multiple ways Adjust the information to make multi-dimensional adjustments to the recommended menu based on the information entered by the user, and recommend the full menu directly at the initial stage of the ordering process, eliminating the need for the user to order one dish and one dish, bringing convenience and effectiveness to the user To improve the efficiency of ordering.
  • the recommended menu is tested by combining the dish with taboo information, making the recommended menu more consistent with the dish matching habits, and increasing the possibility that the recommended menu meets the user's ordering needs.
  • Multi-dimensional analysis and display of recommended menu information enables users to adjust the menu from multiple dimensions, making ordering more convenient, and supports users to make one-time adjustments to the overall menu through the overall menu dimension, which makes ordering efficiency very effective. Great improvement.
  • the user can conveniently view the detailed information of the current ordering result and express the ordering preferences in a dialogue form, instead of merely adding or deleting individual dishes using dialogue. Not only convenient ordering, but also personalized menu recommendations.
  • the present application also discloses an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor.
  • the ordering method described in the first and second embodiments of the present application may be a PC, a mobile terminal, a personal digital assistant, a tablet computer, or the like.
  • the present application also discloses a computer-readable storage medium on which a computer program is stored.
  • the program is executed by a processor, the method for ordering according to the first and second embodiments of the present application is implemented.
  • the embodiments can be implemented by means of software plus a necessary universal hardware platform, and of course, they can also be implemented by hardware.
  • the above-mentioned technical solution essentially or part that contributes to the existing technology can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic A disc, an optical disc, and the like include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or certain parts of the embodiments.

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Abstract

一种点餐方法、装置、电子设备和计算机可读存储介质。所述点餐方法包括：基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单（110）；根据所述当前用户输入的菜单调整信息，调整所述推荐菜单（120）。

Description

一种点餐方法及装置，电子设备
相关申请的交叉引用
本专利申请要求于2018年05月25日提交的、申请号为201810514637.0、发明名称为“一种点餐方法及装置，电子设备”的中国专利申请的优先权，该申请的全文以引用的方式并入本文中。
技术领域
本申请涉及计算机技术领域，特别是涉及一种点餐方法及装置，电子设备。
背景技术
点餐系统包括单人点餐系统和多人点餐系统，但是，无论单人点餐系统和多人点餐系统，都只能对单个菜品进行操作点餐。例如，对于多人点餐系统，每个用户通过自己的电子设备扫描点餐二维码，然后，各自选择增加或删除某个菜品，点餐系统通过点餐二维码将已点菜品和菜单关联，并展示给共同点餐的用户。点餐过程中，当用户没有新增菜品时，用户的菜单是空白的，用户需要逐个增加菜品，以完成点餐。并且，用户只能通过增加菜品或减少菜品的方式修改菜单，完成一次点餐需要多次增、删操作，从而导致点餐效率低下。
发明内容
本申请提供一种点餐方法，可以有效提升点餐效率。
为了解决上述问题，第一方面，本申请实施例提供了一种点餐方法包括：基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单；根据所述当前用户输入的菜单调整信息，调整所述推荐菜单。
第二方面，本申请实施例提供了一种点餐装置，包括：初始推荐菜单确定模块，用于基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单；推荐菜单调整模块，用于根据所述当前用户输入的菜单调整信息，调整所述推荐菜单。
第三方面，本申请实施例还公开了一种电子设备，包括存储器、处理器及存储在所 述存储器上并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现本申请实施例所述的点餐方法。
第四方面，本申请实施例提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时本申请实施例公开的点餐方法。
本申请实施例公开的点餐方法，通过首先基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单，然后，根据所述当前用户输入的菜单调整信息，调整所述推荐菜单，提升了点餐效率。
附图说明
为了更清楚地说明本申请实施例的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1是本申请实施例一的点餐方法流程图；
图2是本申请实施例二的点餐方法流程图；
图3是本申请实施例三的一个点餐装置结构示意图；
图4是本申请实施例三的另一个点餐装置结构示意图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
实施例一
本实施例公开的一种点餐方法，如图1所示，该方法应用于点餐系统，包括：步骤110和步骤120。
步骤110，基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单。
本申请实施例中的当前用户为点餐用户，可以为一个人，也可以为多个人。申请应 用的点餐系统可以包括点餐客户端和点餐服务器。本申请实施例中的目标商家为所述当前用户在当前用户进入某一家餐厅后，点餐系统可以根据所述当前用户的移动终端上安装的点餐客户端对当前用户进行定位，将所述当前用户所在的餐厅确定为目标商家。或者，点餐系统可以根据所述当前用户使用的点餐客户端确定目标商家，例如点餐客户端是商家的专用设备，则可以直接确定目标商家；如果是当前用户的安装的点餐客户端，则可以由用户输入商家名称来确认目标商家。再或者，当前用户通过电子设备上，如智能手机、PAD(平板电脑)，安装的点餐客户端、通过AR(Augmented Reality，增强现实技术)投影投出的点餐客户端输入目标商家，即所述当前用户点餐的餐厅。所述当前用户可以通过语音输入或者文本输入的方式输入目标商家。
进一步的，在确定目标商家之后，需要确定所述目标商家的可推荐菜。所述目标商家的推荐菜可以为所述目标商家自身的菜品。目标商家的菜品可以通过以下任意一种或多种渠道获得：获取目标商家上传到点餐系统的菜品、对所述目标商家的历史订单数据进行分析并提取菜品、对所述目标商家的用户评论数据进行分析并提取菜品、通过第三方平台开放的接口获取所述目标商家的菜品，以及获取与所述目标商家同类别的其他商家的菜品。
然后，根据所述目标商家的历史订单信息中的用餐人数、主菜配菜信息、用餐时间，以及预先确定的菜品搭配习惯信息，结合当前用户人数和用餐时间，从目标商家的可推荐菜品中确定推荐菜单。
步骤120，根据所述当前用户输入的菜单调整信息，调整所述推荐菜单。
在确定了对当前用户的推荐菜单之后，可以向所述当前用户展示所述推荐菜单。进一步的，还可以根据所述当前用户的操作，展示所述推荐菜单的某一维度或多个维度的信息。更进一步的，所述当前用户可以通过输入菜单调整信息，例如，输入增加菜品、删除菜品、调整菜单整体价格、调整菜单口味等。点餐系统会基于用户指定的菜单调整信息对所述推荐菜单进行调整。所述点餐系统会实时展示调整后的推荐菜单，以供用户反复调整及浏览调整后的推荐菜单。
本申请实施例公开的点餐方法，通过首先基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单，然后，根据所述当前用户输入的菜单调整信息，调整所述推荐菜单，提高了点餐的效。
实施例二
本实施例公开的一种点餐方法，如图2所示，该方法应用于点餐系统，包括：步骤210至步骤250。
步骤210，确定菜品搭配禁忌信息。
本申请具体实施时，在基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单时，首先需要确定菜品搭配禁忌信息。菜品搭配禁忌信息可以根据历史菜单中菜品共现频率和/或菜品搭配常识确定。菜品搭配禁忌信息至少包括适合搭配的主菜信息和/或不适合搭配的主菜信息。
在根据历史菜单信息中菜品共现频率确定菜品搭配禁忌信息时，可以根据历史菜单信息中任意两款菜品的同时出现在一个菜单中的概率高低，确定这两款菜品是否适合搭配。例如，菜品“鱼香肉丝”和“宫保鸡丁”同时出现概率很低，如低于10％，则可以认为菜品“鱼香肉丝”和“宫保鸡丁”不适合搭配。而菜品“清蒸鲈鱼”和“宫保鸡丁”同时出现概率很高，如高于60％，则可以认为菜品“清蒸鲈鱼”和“宫保鸡丁”适合搭配。
在根据菜品搭配常识确定菜品搭配禁忌信息时，可以根据食材的营养成分，或菜品的相似度等菜品搭配常识角度，确定不适合出现的主菜和主菜的搭配、以及主菜和配菜的搭配。例如，菜品“烤羊腿”和“烧羊腿”比较相似，则可以认为菜品“烤羊腿”和“烧羊腿”不适合搭配。
步骤220，基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单。
在本申请的一个实施方式中，首先，基于目标商家信息，确定所述目标商家的可推荐菜品。然后，根据当前用户的人数，确定所述目标商家对应的主菜和配菜各自的数量。最后，根据所述可推荐菜品、所述主菜和配菜各自的数量和预先确定的菜品搭配禁忌信息，确定所述目标商家对当前用户的推荐菜单。
可以在所述基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单的步骤之前确定菜品搭配禁忌信息；也可以在确定对所述当前用户的推荐菜单的过程中，在根据所述可推荐菜品、所述主菜和配菜各自的数量和预先确定的菜品搭配禁忌信息，确定对所述当前用户的推荐菜单的步骤之前，确定菜品搭配禁忌信息。
在确定目标商家之后，可选的，将所述目标商家自身的菜品作为推荐菜品。所述目标商家自身的菜品可以通过以下任意一种或多种渠道获得：获取目标商家上传到点餐系统的菜品、对所述目标商家的历史订单数据进行分析并提取菜品、对所述目标商家的用 户评论数据进行分析并提取菜品、通过第三方平台开放的接口获取所述目标商家的菜品。当通过上述渠道获取的所述目标商家的菜品较为缺乏时，还可以根据所述目标商家的类别，比如川菜、北京菜，将同类别的其他商家的菜品，作为所述目标商家的可推荐菜品。通过将同类别商家的菜品作为所述目标商家的可推荐菜品，可以在所述目标商家没有及时上传菜品时，仍然能够为用户推荐较为合适的菜单。
在确定所述目标商家对应的主菜和配菜各自的数量之前，还包括，根据只包括一个菜品的历史订单信息，确定所述可推荐菜品的主菜属性；根据只包括两个菜品的历史订单信息，确定所述可推荐菜品的配菜属性。即所述主菜为根据只包括一个菜品的历史订单信息确定的菜品；所述配菜为根据只包括两个菜品的历史订单信息和所述主菜确定的菜品。主菜和配菜的区别在于，特定人数用餐时的主菜个数波动较小，配菜波动则较大。因此，可以根据用户的历史订单数据，如点餐系统下商家的下单数据和外卖下单数据，确定菜品的主菜或配菜属性。例如，根据仅包括一个菜品的订单中的菜品的历史出现频率和菜品价格，确定菜品的主菜属性。首先分析用户单独点一个菜品的订单，如果这个菜品在历史订单中出现频率高于预设频率阈值和/或菜品价格大于预设价格阈值，则可判断该菜品可单独出餐，确定该菜品为主菜。其中，预设频率阈值和预设价格阈值可以根据经验确定。进一步的，根据包括两个菜品的订单中的非主菜菜品与主菜菜品同时出现频率，确定菜品的配菜属性。例如，单独点两个菜品的且其中一个菜品为主菜的订单中，另一个菜品在单独点两个菜品历史订单中出现的频率大于30％，则可以确定所述另一个菜品的属性为配菜。
之后，需要进一步根据当前用户的人数，确定所述目标商家对应的主菜和配菜各自的数量。不同商家的菜量和菜品风格大小不同，因此同样人数，在不同餐厅需要点的菜品的数量不同。在确定了菜品的主菜属性和配菜属性之后，根据所述目标商家的历史数据，例如：历史订单数据或历史评价数据，可确定所述目标商家不同人数情况下，适合点餐的主配菜数量范围。可以统计所述目标商家的订单的主菜数量，根据不同人数的订单中的主菜数量，确定主菜数量与人数的分布曲线，然后，根据所述分布曲线可以得到所述目标商家的主菜数量范围。例如，当用餐人数为3人时，所述目标商家的订单中，有80％订单的主菜数量为2至3个，则可以确定，对于当前用户人数为3人时，所述目标商家的主菜范围为2至3个。按照同样方法，可以确定所述目标商家的与人数对应的配菜范围。之后，根据预先确定的人数、与主配菜数量范围的对应关系，确定与所述当前用户的人数对应的主菜和配菜各自的数量范围。更进一步的，还可以将用餐的时段考虑进去。在统计所述目标商家的订单的主菜和配菜数量时，分时段进行统计，从而确定 所述目标商家在特定时段、不同人数情况下，适合点餐的主配菜数量范围。
最后，根据所述可推荐菜品、所述主菜和配菜各自的数量和预先确定的菜品搭配禁忌信息，确定对所述当前用户的推荐菜单。假设当前用户人数为3人，根据用餐时间、人数和主菜数量配菜数量的对应关系确定推荐菜单包括2个主菜和一个配菜，则可以首先从所述可推荐菜品中随机选择一个主菜，然后，再根据菜品搭配禁忌信息从所述可推荐菜品中选择适合搭配第一个主菜的第二个主菜，之后，再根据菜品搭配禁忌信息选择一个与已经选择的两个主菜搭配的配菜。至此，生成了对当前用户的推荐菜单。
步骤230，确定并展示所述推荐菜单，其中，展示内容包括所述推荐菜单的至少一个整体菜单维度的菜单信息。
在确定了对当前用户的推荐菜单之后，可以向所述当前用户展示所述推荐菜单的多维度信息，便于用户与点菜系统进行交互。例如，浏览所述推荐菜单的各个维度的信息，或调整所述推荐菜单的展示给当前用户的维度的信息。其中，所述多维度信息选自于整体菜单维度，包括但不限于以下任意一个维度或多个维度的组合：菜品数量、人均价格、总价、荤素、凉热、食材、热量情况、口味分布和营养情况。
其中，所述菜品数量、人均价格、总价，荤素，凉热、口味分布可以根据推荐菜单中包括的各菜品的名称、配料等详细信息确定。所述热量情况、营养情况可以通过线上菜品知识挖掘技术，通过统计分析确定。
点餐系统可以在展示所述推荐菜单的界面上设置语音输入或文本输入的接口以供用户使用。当前用户可以通过输入语音或文本或触摸所述界面显示的按键，选择所述推荐菜单的预设维度。点餐系统根据所述当前用户的操作，向当前用户展示所述推荐菜单的用户选中维度的菜单信息。例如，所述当前用户通过语音输入展示价格维度信息的指令，则所述点餐系统的客户端将获取的语音数据发送至点餐系统的服务器进行识别；然后，根据识别结果，确定需要展示所述推荐菜单的整体价格；之后，所述点餐系统的服务器根据所述整体价格生成展示整体价格的信息，发送至所述点餐系统的客户端，由所述客户端展示所述推荐菜单的整体价格。用户可以操作的推荐菜单的维度包括整体菜单维度和单一菜品维度，其中，所述整体菜单维度包括以下任意一个维度：菜品数量、口味、价格、荤素、凉热、食材、营养；所述单一菜品维度包括以下任意一个维度：锁定指定菜品、解锁指定菜品、排除指定菜品、删除菜品、增加菜品。
步骤240，获取所述当前用户输入的菜单调整信息。
获取所述当前用户输入的菜单调整信息包括但不限于以下任意一种方式：获取所述当前用户通过其自身的点餐客户端经由预设信息输入接口输入的菜单调整信息；获取所述当前用户通过所述目标商家的点餐客户端经由预设信息输入接口输入的菜单调整信息，所述当前用户的人数大于或等于1。其中，所述预设信息输入接口包括但不限于以下至少一项：语音输入接口、文本输入接口、按键输入接口。所述当前用户输入的菜单调整信息可以是：整体菜单维度的调整信息或单一菜品维度的调整信息。所述按键输入可以为用户触发物理按键执行的输入，也可以为用户触发显示在点餐客户端屏幕上的虚拟按键执行的输入。
例如，所述当前用户可以通过所述当前用户的移动终端上安装的点餐客户端界面，点击预设按键增加或删除菜品、输入期望菜单价格、输入期望的荤菜和素菜数量等。或者，所述当前用户通过所述当前用户的移动终端上安装的点餐客户端界面，使用语音输入增加或删除菜品指令、输入期望菜单价格、输入期望的荤菜和素菜数量等，由所述点餐客户端将用户输入的语音发送至点餐服务器进行识别，并根据识别结果调整推荐菜单。再例如，一个或多个用户通过所述目标商家的点餐客户端进行语音输入，输入增加或删除菜品指令、输入期望菜单价格、输入期望的荤菜和素菜数量等，由所述点餐客户端将用户输入的语音发送至点餐服务器进行识别，并根据识别结果调整推荐菜单。与每个用户通过各自的点餐客户端操作同一个菜单相比，本实施例中公开的点餐方法，多个用户可以同时操作同一个点餐客户端，规避了菜品操作冲突，可以进一步提升点餐效率。
步骤250，根据所述当前用户输入的菜单调整信息，调整所述推荐菜单。
在本申请的一个实施方式中，可以根据所述当前用户输入的整体菜单维度的菜单调整信息，调整所述推荐菜单，其中，所述整体菜单维度包括以下任意一个维度：菜品数量、口味、价格、荤素、凉热、食材、营养。在本申请的另一个实施方式中，还可以根据所述当前用户输入的单一菜品维度的菜单调整信息，调整所述推荐菜单，其中，所述单一菜品维度包括以下任意一个维度：锁定指定菜品、解锁指定菜品、排除指定菜品、删除菜品、增加菜品。根据所述当前用户输入的菜单调整信息，调整所述推荐菜单，包括：根据所述当前用户输入的菜单调整信息，确定符合所述菜单调整信息的备选推荐菜单；判断所述备选推荐菜单是否匹配预先确定的菜品搭配禁忌信息，若匹配则将所述备选推荐菜单作为调整后的推荐菜单，否则，跳转至所述根据所述当前用户输入的菜单调整信息，确定符合所述菜单调整信息的备选推荐菜单的步骤，重新确定备选推荐菜单。
在本申请的一个实施方式中，若当前用户输入的整体菜单维度为价格维度的菜单调 整信息，则根据所述当前用户输入的价格，确定符合所述菜单调整信息的备选推荐菜单。对当前推荐菜单中的菜品根据价格排序，将其中最便宜或最贵的菜品，换成价格差距在10％以上的相似菜品，以使得替换菜品后生成的推荐菜单比当前推荐菜单高或低。其中，相似菜品指与待替换的菜品在荤素、凉热、食材、热量、口味、营养等维度大部分相似，只是价格较低或较高的菜品，以生成备选推荐菜单。
在本申请的另一个实施方式中，若当前用户输入的整体菜单维度为菜品数量维度的菜单调整信息，则根据所述当前用户输入的菜品数量，确定符合所述菜单调整信息的备选推荐菜单。例如，用户通过语音输入“菜太少了”，则点餐服务器通过与用户输入的语音进行识别，并根据识别结果增加所述推荐菜单中的菜品数量，在主配菜数量合理范围内，增加主、配菜数量，并生成备选推荐菜单。如果主菜已达到预先确定的主菜数量上限，可增加配菜，配菜数量可超过上限。
在本申请的另一个实施方式中，若当前用户输入的整体菜单维度为菜品口味维度的菜单调整信息，则根据所述当前用户输入的口味调整信息，确定符合所述菜单调整信息的备选推荐菜单。例如，用户通过语音输入“辣菜太多”，则点餐服务器通过与用户输入的语音进行识别，并根据识别结果减少所述推荐菜单中的口味偏辣的菜品比例，例如，将预设比例，如1/3，的口味偏辣的菜品替换为原味或甜味的菜品，并生成备选推荐菜单。其中，菜品的口味信息可以根据菜品属性或菜品名称确定。
在本申请的另一个实施方式中，若当前用户输入的整体菜单维度为荤素维度的菜单调整信息，例如，荤菜和素菜的比例，或荤菜或素菜的数量，则根据所述当前用户输入的荤素比例或荤菜和/或素菜的数量调整信息，确定符合所述菜单调整信息的备选推荐菜单。例如，用户通过文本框输入“减少荤菜”，则点餐服务器将所述推荐菜单中的预设比例，如1/3，的荤菜替换为素菜，并生成备选推荐菜单。其中，菜品的荤素属性信息可以根据菜品属性或菜品名称确定。
在本申请的另一个实施方式中，若当前用户输入的整体菜单维度为凉热维度的菜单调整信息，例如，凉菜和热菜的比例，或凉菜或热菜的数量，则根据所述当前用户输入的凉热比例或凉菜和/或热菜的数量调整信息，确定符合所述菜单调整信息的备选推荐菜单。例如，用户通过文本框输入“3荤4素”，则点餐服务器可以通过如下方式的一种或几种来调整所述推荐菜单并生成备选推荐菜单：将所述推荐菜单中的荤菜替换为素菜、将所述推荐菜单中的素菜替换为荤菜、增加或减少荤菜、增加或减少素菜。其中，菜品的荤素属性信息可以根据菜品属性或菜品名称确定。
在本申请的另一个实施方式中，若当前用户输入的整体菜单维度为食材维度的菜单调整信息，则根据所述当前用户输入的食材调整信息，确定符合所述菜单调整信息的备选推荐菜单。例如，用户通过文本框输入“爱吃牛肉”，则点餐服务器通过将所述推荐菜单中的“猪肉”或“鸡肉”等食材的菜品替换为以“牛肉”为食材的菜品，以生成备选推荐菜单。其中，菜品的食材信息可以根据菜品属性或菜品名称确定。
在本申请中，所述当前用户可以通过点餐客户端的交互界面设置的语音输入接口、文本输入接口或预设按键等信息输入渠道，输入增加菜品、删除菜品、锁定指定菜品、解锁指定菜品和排除指定菜品的单一菜品维度菜单调整信息，以增加菜品、删除菜品或锁定、解锁指定菜品，以及，排除指定菜品，以生成备选推荐菜单。当某一菜品被锁定后，在根据整体菜单维度的菜单调整信息对菜单进行调整时，被锁定的菜品将不会被替换，用户可以通过输入删除菜品维度的菜单调整信息删除被锁定的菜品或通过输入解锁指定菜品维度的菜单调整信息删除被锁定的菜品。
在生成备选推荐菜单生成之后，需要进一步对生成的备选推荐菜单基于预先确定的菜品搭配禁忌信息对生成的备选推荐菜单进行菜品搭配禁忌检验。以判断所述备选推荐菜单是否匹配预先确定的菜品搭配禁忌信息，若匹配则将所述备选推荐菜单作为调整后的推荐菜单，否则，跳转至所述根据所述当前用户输入的整体菜单维度或单一菜品维度的菜单调整信息，确定符合所述菜单调整信息的备选推荐菜单的步骤，重新确定备选推荐菜单。
例如，可以首先将所述备选推荐菜单中未被调整的菜品确认为匹配预先确定的菜品搭配禁忌信息的准确定菜品；然后，对于每个所述备选推荐菜单中新增菜品，逐个判断与所述准确定菜品是否匹配所述菜品搭配禁忌信息，若匹配，则将当前新增菜品作为准确定菜品，并继续判断其他新增菜品；最后，对于与所述准确定菜品不匹配所述菜品搭配禁忌信息的新增菜品，根据所述当前用户输入的菜单调整信息，选择满足所述菜单调整信息的其他菜品，重新生成备选推荐菜单。例如，当前推荐菜单包括菜品A、菜品D和菜品E，当前用户输入的菜单调整信息为价格维度，根据价格维度调整信息对推荐菜单进行调整后，用菜品B替换了原推荐菜单中的菜品A，同时新增了菜品C，则调整后得到的备选推荐菜单包括：菜品B、菜品D、菜品E和菜品C。在进行菜品搭配禁忌信息校验时，确定菜品B与菜品D和菜品E匹配菜品搭配禁忌信息，而菜品C与菜品B、菜品D和菜品E不匹配菜品搭配禁忌信息，则继续选择与菜品C价格相近的其他菜品，生成备选推荐菜单。
若所述备选推荐菜单不匹配预先确定的菜品搭配禁忌信息，也可以放弃当前次调整，重新执行完整的根据当前用户输入的菜单调整信息确定候选推荐菜单的步骤。
在每次调整推荐菜单之后，会重新确定并展示所述推荐菜单。如果所述当前用户对调整后的推荐菜单不满意，还可以继续输入菜单调整信息，直至提交菜单，完成点餐。
更进一步的，本申请的实施例在基于某一维度的菜单调整信息调整推荐菜单时，优先寻找使得推荐菜单的其他维度信息变化最小的当前菜品的替代菜品。
本申请实施例公开的点餐方法，通过首先根据历史订单数据或相关信息确定目标商家的可推荐菜品、所述可推荐菜品的主、配菜属性、与用餐人数和时间对应的主菜和配菜各自的数量等信息，然后，根据上述信息，结合当前用餐人数、预先确定的菜品搭配禁忌信息，确定所述目标商家对当前用户的推荐菜单，然后，通过多种方式获取用户输入的推荐菜单调整信息，以根据用户输入的信息对推荐菜单进行多维度调整，直接在点餐流程初始阶段推荐完整菜单，免去用户一个菜、一个菜进行点餐的过程，给用户带来了方便，有效地提高了点餐效率。通过结合菜品搭配禁忌信息对推荐菜单进行检查，使得推荐的菜单更加符合菜品搭配习惯，提升推荐菜单满足用户点餐需求的可能性。通过对推荐菜单信息进行多维度分析和展示，使得用户可以从多个维度调整菜单，点餐更加方便，并且，支持用户通过整体菜单维度对菜单整体进行一次性调整，使点餐效率产生了很大程度的提升。
应用本申请实施例公开的点餐方法，在点餐过程中任一时刻，用户可以方便地查看当前点餐结果的详细信息，并用对话形式表达点餐偏好，而不只是用对话增删单个菜品，不仅方便点餐，而且实现了个性化菜单推荐。
实施例三
本实施例公开的一种点餐装置，如图3所示，所述装置包括：
初始推荐菜单确定模块310，用于基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单。
推荐菜单调整模块320，用于根据所述当前用户输入的菜单调整信息，调整所述推荐菜单。
本申请实施例公开的点餐装置，通过首先基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单，然后，根据所述当前用户输入的菜单调整信息，调整所述推荐菜单，有效提升了点餐效率。
可选的，所述推荐菜单调整模块320进一步用于，根据所述当前用户输入的整体菜单维度的菜单调整信息，调整所述推荐菜单，其中，所述整体菜单维度包括以下任意一个维度：菜品数量、口味、价格、荤素、凉热、食材、营养。
可选的，所述推荐菜单调整模块320进一步用于，根据所述当前用户输入的单一菜品维度的菜单调整信息，调整所述推荐菜单，其中，所述单一菜品维度包括以下任意一个维度：锁定指定菜品、解锁指定菜品、排除指定菜品、删除菜品、增加菜品。
可选的，如图4所示，所述推荐菜单调整模块320进一步包括：
推荐菜单调整子模块3201，用于根据所述当前用户输入的菜单调整信息，确定符合所述菜单调整信息的备选推荐菜单。
菜单菜品搭配禁忌信息检验子模块3202，用于判断所述备选推荐菜单是否匹配预先确定的菜品搭配禁忌信息，若匹配则将所述备选推荐菜单作为调整后的推荐菜单，否则，跳转至所述推荐菜单调整子模块，重新确定备选推荐菜单。
可选的，如图4所示，所述装置还包括：获取菜单调整信息模块330，所述获取菜单调整信息模块330进一步用于：
获取所述当前用户通过其自身的点餐客户端经由预设信息输入接口输入的菜单调整信息；或，获取所述当前用户通过所述目标商家的点餐客户端经由预设信息输入接口输入的菜单调整信息；其中，所述预设信息输入接口包括选自于以下至少一项：语音输入、文本输入、按键输入。
可选的，如图4所示，所述装置还包括：
多维度信息展示模块340，用于确定并展示所述推荐菜单，其中，所展示的内容包括所述推荐菜单的至少一个整体菜单维度的菜单信息。
可选的，所述初始推荐菜单确定模块310进一步用于：
基于目标商家信息，确定所述目标商家的可推荐菜品。
根据所述当前用户的人数以及所述目标商家信息，确定主菜和配菜各自的数量。
根据所述可推荐菜品、所述主菜和配菜各自的数量和预先确定的菜品搭配禁忌信息，确定所述目标商家对当前用户的推荐菜单。
可选的，所述菜品搭配禁忌信息根据历史菜单中菜品共现频率和/或菜品搭配常识确定。
可选的，所述主菜为根据包括一个菜品的历史订单信息确定的菜品；所述配菜为根据包括两个菜品的历史订单信息和所述主菜确定的菜品。
本申请实施例公开的点餐装置，通过首先根据历史订单数据或相关信息确定目标商家的可推荐菜品、所述可推荐菜品的主、配菜属性、与用餐人数和时间对应的主菜和配菜各自的数量等信息，然后，根据上述信息，结合当前用餐人数、预先确定的菜品搭配禁忌信息，确定所述目标商家对当前用户的推荐菜单，然后，通过多种方式获取用户输入的推荐菜单调整信息，以根据用户输入的信息对推荐菜单进行多维度调整，直接在点餐流程初始阶段推荐完整菜单，免去用户一个菜、一个菜进行点餐的过程，给用户带来了方便，有效地提高了点餐效率。通过结合菜品搭配禁忌信息对推荐菜单进行检验，使得推荐的菜单更加符合菜品搭配习惯，提升推荐菜单满足用户点餐需求的可能性。通过对推荐菜单信息进行多维度分析和展示，使得用户可以从多个维度调整菜单，点餐更加方便，并且，支持用户通过整体菜单维度对菜单整体进行一次性调整，使点餐效率产生了很大程度的提升。
应用本申请实施例公开的点餐装置，在点餐过程中任一时刻，用户可以方便地查看当前点餐结果的详细信息，并用对话形式表达点餐偏好，而不只是用对话增删单个菜品，不仅方便点餐，而且的实现了个性化的菜单推荐。
相应的，本申请还公开了一种电子设备，包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如本申请实施例一和实施例二所述的点餐方法。所述电子设备可以为PC机、移动终端、个人数字助理、平板电脑等。
本申请还公开了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如本申请实施例一和实施例二所述的点餐方法。
本说明书中的各个实施例均采用递进的方式描述，每个实施例重点说明的都是与其他实施例的不同之处，各个实施例之间相同相似的部分互相参见即可。对于装置实施例而言，由于其与方法实施例基本相似，所以描述的比较简单，相关之处参见方法实施例的部分说明即可。
以上对本申请提供的一种点餐方法及装置进行了详细介绍，本文中应用了具体个例对本申请的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本申请的方法及其核心思想；同时，对于本领域的一般技术人员，依据本申请的思想，在具体实 施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本申请的限制。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到各实施方式可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件实现。基于这样的理解，上述技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行各个实施例或者实施例的某些部分所述的方法。

Claims (20)

  1. 一种点餐方法，包括：
    基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单；
    根据所述当前用户输入的菜单调整信息，调整所述推荐菜单。
  2. 根据权利要求1所述的方法，其特征在于，根据所述当前用户输入的所述菜单调整信息，调整所述推荐菜单，包括：
    根据所述当前用户输入的整体菜单维度的所述菜单调整信息，调整所述推荐菜单，
    其中，所述整体菜单维度包括以下任意一个维度：菜品数量、口味、价格、荤素、凉热、食材、营养。
  3. 根据权利要求1所述的方法，其特征在于，根据所述当前用户输入的所述菜单调整信息，调整所述推荐菜单，包括：
    根据所述当前用户输入的单一菜品维度的所述菜单调整信息，调整所述推荐菜单，
    其中，所述单一菜品维度包括以下任意一个维度：锁定指定菜品、解锁指定菜品、排除指定菜品、删除菜品、增加菜品。
  4. 根据权利要求1所述的方法，其特征在于，根据所述当前用户输入的所述菜单调整信息，调整所述推荐菜单，包括：
    根据所述当前用户输入的所述菜单调整信息，确定符合所述菜单调整信息的备选推荐菜单；
    判断所述备选推荐菜单是否匹配预先确定的菜品搭配禁忌信息；
    若匹配，则将所述备选推荐菜单作为调整后的推荐菜单；
    否则，跳转至根据所述当前用户输入的所述菜单调整信息，确定符合所述菜单调整信息的备选推荐菜单，重新确定备选推荐菜单。
  5. 根据权利要求1所述的方法，其特征在于，在根据所述当前用户输入的所述菜单调整信息，调整所述推荐菜单之前，还包括：
    获取所述当前用户通过其自身的点餐客户端经由预设信息输入接口输入的所述菜单调整信息；或，
    获取所述当前用户通过所述目标商家的点餐客户端经由预设信息输入接口输入的 所述菜单调整信息；
    其中，所述预设信息输入接口包括选自于以下至少一项：语音输入、文本输入、按键输入。
  6. 根据权利要求2所述的方法，其特征在于，在确定对所述当前用户的所述推荐菜单或调整所述推荐菜单之后，还包括：
    确定并展示所述推荐菜单，
    其中，所展示的内容包括所述推荐菜单的至少一个所述整体菜单维度的菜单信息。
  7. 根据权利要求1至3任一项所述的方法，其特征在于，基于所述目标商家信息和所述当前用户信息，确定对所述当前用户的所述推荐菜单，包括：
    基于所述目标商家信息，确定所述目标商家的可推荐菜品；
    根据所述当前用户的人数以及所述目标商家信息，确定主菜和配菜各自的数量；
    根据所述可推荐菜品、所述主菜和配菜各自的数量以及预先确定的菜品搭配禁忌信息，确定所述目标商家对所述当前用户的所述推荐菜单。
  8. 根据权利要求7所述的方法，其特征在于，所述菜品搭配禁忌信息根据历史菜单中菜品共现频率和/或菜品搭配常识确定。
  9. 根据权利要求7所述的方法，其特征在于，
    所述主菜为根据包括一个菜品的历史订单信息确定的菜品；
    所述配菜为根据包括两个菜品的历史订单信息和所述主菜确定的菜品。
  10. 一种点餐装置，包括：
    初始推荐菜单确定模块，用于基于目标商家信息和当前用户信息，确定对所述当前用户的推荐菜单；
    推荐菜单调整模块，用于根据所述当前用户输入的菜单调整信息，调整所述推荐菜单。
  11. 根据权利要求10所述的装置，其特征在于，所述推荐菜单调整模块进一步用于，
    根据所述当前用户输入的整体菜单维度的所述菜单调整信息，调整所述推荐菜单，
    其中，所述整体菜单维度包括以下任意一个维度：菜品数量、口味、价格、荤素、凉热、食材、营养。
  12. 根据权利要求10所述的装置，其特征在于，所述推荐菜单调整模块进一步用于，
    根据所述当前用户输入的单一菜品维度的所述菜单调整信息，调整所述推荐菜单，其中，所述单一菜品维度包括以下任意一个维度：锁定指定菜品、解锁指定菜品、排除指定菜品、删除菜品、增加菜品。
  13. 根据权利要求10所述的装置，其特征在于，所述推荐菜单调整模块进一步包括：
    推荐菜单调整子模块，用于根据所述当前用户输入的所述菜单调整信息，确定符合所述菜单调整信息的备选推荐菜单；
    菜单菜品搭配禁忌信息检验子模块，用于判断所述备选推荐菜单是否匹配预先确定的菜品搭配禁忌信息；
    若匹配，则将所述备选推荐菜单作为调整后的推荐菜单；
    否则，跳转至所述推荐菜单调整子模块，重新确定备选推荐菜单。
  14. 根据权利要求10所述的装置，其特征在于，还包括：获取菜单调整信息模块，所述获取菜单调整信息模块进一步用于：
    获取所述当前用户通过其自身的点餐客户端经由预设信息输入接口输入的所述菜单调整信息；或，
    获取所述当前用户通过所述目标商家的点餐客户端经由预设信息输入接口输入的所述菜单调整信息；
    其中，所述预设信息输入接口包括选自于以下至少一项：语音输入、文本输入、按键输入。
  15. 根据权利要求11所述的装置，其特征在于，还包括：
    多维度信息展示模块，用于确定并展示所述推荐菜单，其中，所展示的内容包括所述推荐菜单的至少一个所述整体菜单维度的菜单信息。
  16. 根据权利要求10至12任一项所述的装置，其特征在于，所述初始推荐菜单确 定模块进一步用于：
    基于所述目标商家信息，确定所述目标商家的可推荐菜品；
    根据所述当前用户的人数以及所述目标商家信息，确定主菜和配菜各自的数量；
    根据所述可推荐菜品、所述主菜和配菜各自的数量以及预先确定的菜品搭配禁忌信息，确定所述目标商家对所述当前用户的所述推荐菜单。
  17. 根据权利要求16所述的装置，其特征在于，所述菜品搭配禁忌信息根据历史菜单中菜品共现频率和/或菜品搭配常识确定。
  18. 根据权利要求16所述的装置，其特征在于，
    所述主菜为根据包括一个菜品的历史订单信息确定的菜品；
    所述配菜为根据包括两个菜品的历史订单信息和所述主菜确定的菜品。
  19. 一种电子设备，包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现权利要求1至9任意一项所述的点餐方法。
  20. 一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现权利要求1至9任意一项所述的点餐方法。
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