WO2018233489A1

WO2018233489A1 - Method and device for making meal recommendation

Info

Publication number: WO2018233489A1
Application number: PCT/CN2018/090113
Authority: WO
Inventors: 刘芳; 刘建涛
Original assignee: 京东方科技集团股份有限公司
Priority date: 2017-06-20
Filing date: 2018-06-06
Publication date: 2018-12-27
Also published as: CN107194746B; CN107194746A

Abstract

Provided are a method and device for making a meal recommendation. The method comprises: providing, according to health condition information and location information of a user, matched candidate restaurants and candidate dishes of the candidate restaurants to the user for selection; issuing, according to a target restaurant, a target dish and a dining time selected by the user, a dining invitation to an associated user of the user; confirming that a person has accepted the dining invitation; and informing the user of the confirmed diner.

Description

Meal recommendation method and device

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No.

Technical field

The present application relates to the field of mobile application technologies, and in particular, to a meal recommendation method and apparatus.

Background technique

With the booming of the Internet+, more and more dining recommendation apps (Applications) have appeared. When the user needs to eat, the restaurant information or the dish information can be obtained through the network, and generally includes a recommended restaurant, a dish recommended by the store, or a dish with a high user rating.

The existing meal recommendation scheme is usually based on the diners' personal preferences, tastes, dining environment, price and other factors, and does not take into account the health of the diners. The recommended restaurant or dishes may not meet the health of the diners. situation.

Summary of the invention

In one aspect, the present disclosure provides a meal recommendation method, the method comprising:

Determining an alternative restaurant and an alternative dish that matches the health status information and the location information according to the user's health status information and location information sent by the first mobile terminal, and transmitting the alternative restaurant information and the alternative dish information to the Said first mobile terminal;

Receiving target restaurant information, target dish information, and meal time from the first mobile terminal, the target restaurant being selected from the candidate restaurant, the target dish being an alternative from the target restaurant Selected from the dishes.

In some embodiments, the determining, according to the health status information and the location information of the user sent by the first mobile terminal, determining an alternative restaurant and an alternative dish that match the health status information and the location information, and determining the candidate The restaurant information and the alternative dish information are sent to the first mobile terminal, including:

Determining, according to location information sent by the first mobile terminal, an alternative restaurant within a preset range of the location information, and transmitting the alternative restaurant information to the first mobile terminal;

Receiving the target restaurant information sent by the first mobile terminal and the health status information of the user, and acquiring the target restaurant and the health status from the ordering server according to the target restaurant information and the health status information of the user. Alternative dish information for information matching;

Sending the alternative dish information to the first mobile terminal.

In some embodiments, the obtaining, according to the health condition information and the target restaurant information, the candidate menu information that matches the health status information in the candidate restaurant from the ordering server, includes:

Sorting keywords of the diagnostic information for describing at least one of a disease type and a physical condition according to at least one of a disease type and a physical condition level;

Transmitting the category of the keyword and the target restaurant information to the ordering server, so that the ordering server according to the category of the keyword and the target restaurant information, and preset restaurant information, keywords Correspondence between categories and menu information to determine alternative dishes;

Receiving alternative dish information sent by the ordering server.

In some embodiments, the health status information includes diagnostic information including one or any combination of the following: a test order, a medical checklist, a case.

Further, before the obtaining, according to the health condition information and the target restaurant, the candidate dish matching the health condition information in the target restaurant from the ordering server, the method further includes: extracting the diagnosis information A keyword used to describe at least one of a disease type and a physical condition.

Determining, according to the location information sent by the first mobile terminal, an alternative restaurant within a preset range of the location information, and according to the candidate restaurant information and the health status information of the user sent by the first mobile terminal, The ordering server obtains candidate menu information matching the health status information in each of the alternative restaurants;

The alternative restaurant information and the alternative dish information are transmitted to the first mobile terminal.

In some embodiments, the method further includes, after receiving the target restaurant information, the target menu information, and the meal time from the first mobile terminal,

Obtaining an associated user of the user, and sending a meal invitation message to the second mobile terminal held by the associated user according to the target restaurant information, the target menu information, and the meal time sent by the first mobile terminal;

And determining, according to the meal invitation message returned by the second mobile terminal, the meal invitee, and sending the meal invitee information to the first mobile terminal, so that the user determines the diners.

In some embodiments, after the sending the meal inviter information to the first mobile terminal, the method further includes:

Receiving the diners information sent by the first mobile terminal, and counting the number of diners;

Sending the target restaurant information, the target dish information, the meal time, and the number of people to the ordering server, so that the ordering server orders a meal to the target restaurant;

And receiving the order confirmation message to the first mobile terminal and the second mobile terminal respectively when receiving the order confirmation message returned by the order server.

In some embodiments, the alternative dish information includes: a dish name, a price, a suitable population, a raw material content, and a correspondence of user evaluations.

In some embodiments, the associated user comprises one or any combination of: an address book contact, a recent contact, a friend in an instant messaging software, a person looking for the target restaurant and/or a target dish.

The present disclosure also provides a meal recommendation server comprising: a memory; and a processor coupled to the memory to each other, wherein the memory stores computer executable instructions for controlling the processor to:

Receiving health status information and location information of the user sent by the first mobile terminal;

Determining an alternative restaurant and an alternative dish that matches the health status information and the location information according to the health status information and the location information of the user, and instructing to send the alternative restaurant information and the alternative dish information to the first Mobile terminal;

Receiving target restaurant information, target dish information, and meal time sent by the first mobile terminal, the target restaurant is selected from the candidate restaurant, and the target dish is from a device associated with the target restaurant Selected from the selection of dishes.

In some embodiments, the memory stores computer executable instructions for controlling the processor to: determine an alternate restaurant within a preset range of the location information based on the location information, and indicate Transmitting the alternative restaurant to the first mobile terminal; and, according to the health status information and the target restaurant information, acquiring, from the ordering server, an alternative item in the target restaurant that matches the health status information Information, and instructing to send the candidate dish information to the first mobile terminal.

In some embodiments, the memory stores computer executable instructions for controlling the processor to: describe the disease type in the diagnostic information according to at least one of a disease type and a physical condition level And classifying a keyword of at least one of the physical condition, and instructing to send the category of the keyword and the target restaurant information to the ordering server, so that the ordering server is based on the category and location of the keyword Determining the menu item, the preset restaurant information, the category of the keyword, and the correspondence between the item information, determining the candidate item; and receiving the alternative item information sent by the ordering server.

Further, the memory stores computer executable instructions for controlling the processor to: extract the diagnosis before acquiring an alternative dish matching the health condition information in the target restaurant from a ordering server A keyword used in the information to describe at least one of a disease type and a physical condition.

In some embodiments, the memory stores computer executable instructions for controlling the processor to: determine an alternative within a preset range of the location information based on location information transmitted by the first mobile terminal a restaurant, and according to the candidate restaurant information and the health status information of the user sent by the first mobile terminal, obtaining, from the ordering server, candidate menu information matching the health status information in each of the candidate restaurants, and Instructing the first sending module to send the alternative restaurant information and the alternative dish information to the first mobile terminal.

In some embodiments, the memory further stores computer executable instructions for controlling the processor to:

Obtaining an associated user of the user, and instructing to send a meal invitation message to the second mobile terminal held by the associated user according to the target restaurant information, the target restaurant information, and the meal time;

Receiving a meal invitation message returned by the second mobile terminal;

And determining, according to the meal invitation message, the meal invitee, and instructing to send the meal invitee information to the first mobile terminal, so that the user determines the mealperson.

Receiving a order confirmation message returned by the ordering server;

Receiving the diners information sent by the first mobile terminal;

After receiving the diners information sent by the first mobile terminal, counting the number of diners, and instructing to send the target restaurant information, the target dish information, the meal time, and the number of diners to the ordering server, so that the ordering meal is made The server orders a meal with the target restaurant;

Upon receiving the order confirmation message returned by the ordering server, respectively instructing to send the order confirmation message to the first mobile terminal and the second mobile terminal.

DRAWINGS

1 is a schematic structural diagram of a system of the present disclosure;

2 is a flow chart of a meal recommendation provided by the present disclosure;

FIG. 3 is a flowchart of a meal recommendation signaling provided by the present disclosure;

FIG. 4 is a schematic structural diagram of a meal recommendation server provided by the present disclosure.

Detailed ways

The technical solutions in the present disclosure will be clearly and completely described in conjunction with the drawings in the present disclosure. It is obvious that the described embodiments are a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present disclosure without departing from the inventive scope are the scope of the disclosure.

The present disclosure provides a meal recommendation method and apparatus. The network topology of the method application is as shown in FIG. 1 , and includes a meal recommendation server 1 , a order reservation server 2 , a first mobile terminal 3 , and a second mobile terminal 4 . The first mobile terminal 3 is a mobile terminal used by a customer to be recommended for dining, and the second mobile terminal 4 is a mobile terminal used by an associated user of the to-be-recommended meal user. The meal recommendation server 1 is configured to provide, by the ordering server 2, the user of the first mobile terminal 3 with an alternative restaurant and an alternative dish that matches its health status for selection, and acquire the associated user of the user, and associate with the user. The user initiates a meal invitation, and after the user (ie, the user of the first mobile terminal 3) determines the target restaurant selected from the alternative restaurant, the target menu selected from the alternative dishes, the meal time, and the number of people, pass The ordering server 2 orders a meal from the target restaurant. The meal recommendation server 1 may be a GIS (Geographic Information System). The order server 2 may be a cloud server for storing correspondence between restaurant information, categories of keywords, and dish information.

The flow of the meal recommendation method of the present disclosure will be described in detail below with reference to Figs. 2 and 3. As shown in Fig. 2, the meal recommendation method includes the following steps S1, S2', S2, and S3-S5.

In step S1, according to the health status information and the location information of the user sent by the first mobile terminal 3, the alternative restaurant and the candidate food that match the health status information and the location information are determined, and the alternative restaurant information and the alternative are selected. The dish information is transmitted to the first mobile terminal 3.

Specifically, the candidate item information may include: a dish name, a price, a suitable population, a raw material content, a user evaluation, and the like.

The meal recommendation server 1 provides an alternative restaurant to the user of the first mobile terminal 3 based on the location information transmitted by the first mobile terminal 3, the alternative restaurant being a restaurant closer to the location. The specific implementation of step 1 is described in detail in conjunction with FIG. 3.

In step S2', the first mobile terminal 3 transmits the target restaurant information, the target dish information, and the meal time to the meal recommendation server.

Specifically, the user of the first mobile terminal 3 selects the target restaurant from the alternative restaurants provided by the meal recommendation server 1, and selects the target dish from the candidate dishes associated with the target restaurant among the alternative dishes provided by the meal recommendation server 1. And determining the meal time, and transmitting the target restaurant information, the target dish information, and the meal time to the meal recommendation server 1.

In step S2, an associated user of the user is obtained.

Specifically, the associated user includes one or any combination of the following: an address book contact, a recent contact, a friend in the instant messaging software, a person who is looking for the target restaurant and/or the target dish. The associated users can be one or more.

It should be noted that the associated users can be classified into two types according to whether they are acquainted with the user. The first type of associated user is known to the user, and the information is stored in the first mobile terminal 3 of the user, for example, a friend, a colleague, a classmate, or the like of the user. The second associated user is not recognized by the user, and the information thereof is not stored in the first mobile terminal 3 of the user, for example, having the same dining needs and/or the same health status as the user. People.

The first type of associated user needs to be obtained from the first mobile terminal 3. Specifically, the first mobile terminal 3 can initiate a request for reading a permission list such as an address book, a contact list, and an instant messaging software to obtain a location. The associated user of the user. The second associated user may be directly obtained by the meal recommendation server 1 . Specifically, a person who is currently looking for a target restaurant and/or interested in the target restaurant near the target restaurant may be acquired (for example, may be from, for example, the second mobile terminal 4 The other mobile terminal receives a request for the target restaurant or the target dish and determines the user of the mobile terminal as an associated user).

It should be noted that the order of execution of step S2 and step S2' is not limited, as long as it is performed before step S3.

In step S3, a meal invitation message is sent to the second mobile terminal 4 held by the associated user according to the target restaurant information, the target dish information and the meal time transmitted by the first mobile terminal 3.

Specifically, the meal recommendation server 1 sends a meal invitation message to the second mobile terminal 4, where the meal invitation message carries the target restaurant information, the target menu information, and the meal time, thereby inviting the associated user to dine with the user.

In step S4, according to the meal invitation message returned by the second mobile terminal 4, the meal invitee is determined.

Specifically, if the associated user is invited, the second mobile terminal 4 returns a meal invitation message to the meal recommendation server 1, otherwise, the meal invitation message is not returned to the meal recommendation server 1. The meal recommendation server 1 determines the meal invitees based on the meal invitation message returned by each of the second mobile terminals 4.

In step S5, the meal inviter information is transmitted to the first mobile terminal 3 to cause the user to determine the diners.

Specifically, the meal recommendation server 1 sends the meal invitee information to the first mobile terminal 3, and the user of the first mobile terminal 3 selects the meal invitee to determine the final meal person.

It can be seen from the step S1 to the step S5 that the meal recommendation scheme provided by the present disclosure provides the candidate restaurant and the candidate food that match the health status information and the location information according to the health condition information and the location information sent by the user. The user selects the target restaurant and the target dish, and, according to the target restaurant selected by the user, the target dish and the meal time, initiates a meal invitation to the associated user of the user, and determines a meal invitee for the user to determine the final meal person. . The present disclosure can not only recommend a restaurant and a dish that meets the health condition of the user who has a meal demand, but after the user determines the target restaurant, the target dish and the meal time of the meal, the user can also automatically initiate a meal invitation to the associated user, thereby serving the user. Inviting users with the same dietary preferences or the same healthy dietary needs to eat together is powerful, easy to use and fast.

The specific implementation manner of the step S1 will be described in detail below with reference to FIG. 3 . As shown in FIG. 3, step S1 specifically includes the following sub-steps S11 to S16.

In step S11, the meal recommendation server 1 acquires location information from the first mobile terminal 3.

Specifically, the location information may be the current location information of the first mobile terminal 3, or may be the location information of the user of the first mobile terminal 3, and the first mobile terminal 3 may report the current to the meal recommendation server 1. Location information or location information that the user wants to eat.

In step S12, the meal recommendation server 1 determines an alternative restaurant within the preset range of the location information based on the location information.

Specifically, the meal recommendation server 1 stores location information of each restaurant, and the meal recommendation server 1 determines the location information preset range centering on the location information acquired in step S11 (for example, the location information acquired in step S11) For the center of the circle, a circle is drawn with a preset distance as a radius, as a preset range of position information) as an alternative area, and a restaurant located in the candidate area is used as an alternative restaurant.

In step S13, the meal recommendation server 1 transmits the alternative restaurant information to the first mobile terminal 3.

Specifically, the alternative restaurant information may include: restaurant name, address, telephone number, restaurant type, special dishes, food and beverage classification, user evaluation, and the like.

In step S14, the first mobile terminal 3 transmits the target restaurant information and the health status information of the user to the meal recommendation server 1.

Specifically, the user of the first mobile terminal 3 can select the target restaurant from the candidate restaurants, and send the health status information and the target restaurant information to the meal recommendation server 1.

The health status information may directly include keywords describing the user's description of the disease type and/or physical condition, such as hypertension, hyperlipidemia, diabetes, coronary heart disease, sub-health, and the like. The health status information may also include diagnostic information, which may include one or any combination of the following: a test list, a medical checklist, and a case. When the health condition information is the diagnosis information, step S14' may be performed: the keyword for describing the type of disease and/or the physical condition of the user is extracted for the diagnosis information. For example, the diagnostic information may be in a picture format. After receiving the diagnostic information in the image format, the meal recommendation server 1 needs to perform image processing on the diagnostic information of the image format, and extract the diagnostic information of the image format to describe the type of disease described by the user and/or Keywords for physical condition. The diagnostic information can also be sent to the meal recommendation server 1 in the form of a two-dimensional code. The meal recommendation server 1 obtains information such as a test list, a medical checklist, a case, and the like carried therein by identifying the two-dimensional code, and then extracts keywords from the meal.

It should be noted that the diagnostic information of the image format may also be an X-ray film, a B-mode image screenshot, etc. In this case, the meal recommendation server 1 may also analyze the X-ray film and the B-mode image screenshot to obtain Describe keywords that the user describes the type of disease and/or physical condition.

In step S15, the meal recommendation server 1 acquires, from the order server 2, the alternative dish information in the target restaurant that matches the health status information based on the target restaurant information and the health status information of the user.

Specifically, the meal recommendation server 1 transmits the target restaurant information and the health status information of the user to the order server 2, and the order server 2 determines the matching item information matched thereto, and the process will be described in detail later.

In step S16, the meal recommendation server 1 transmits the alternative dish information to the first mobile terminal 3.

It can be seen through the above steps S11-S16 that the meal recommendation server 1 provides the user with an alternative restaurant according to the needs of the user's dining place, so that the user can select the target restaurant from among them. The ordering server 2 provides the user with an alternative dish via the meal recommendation server 1 based on the target restaurant and the user's health status information selected by the user for the user to select the target dish from. The order server 2 is a cloud server, and each restaurant can update the restaurant information and the dish information stored in the order server 2 in time to ensure the accuracy of the dish information provided for the user.

Referring to FIG. 3, the meal recommendation server 1 obtains, according to the target restaurant information and the user's health status information, the specific flow of the alternative dish information (ie, step S15) matching the health status information in the target restaurant from the ordering server 2, as shown in FIG. As shown in FIG. 3, step S15 specifically includes the following steps S151-S154.

In step S151, the meal recommendation server 1 classifies the keywords according to the disease type and/or the physical condition level.

Specifically, according to the type of the disease, the categories of the keywords may include: hypertension, hyperlipidemia, etc., according to the physical condition level, the categories of the keywords may include: health, good, sub-health, and the like.

In step S152, the meal recommendation server 1 transmits the category of the keyword and the target restaurant information to the order server 2.

In step S153, the order food server 2 determines the alternative dish based on the category of the keyword and the target restaurant information, and the correspondence between the preset restaurant information, the category of the keyword, and the dish information.

Specifically, the ordering server 2 prestores: a correspondence between a category of a keyword, a restaurant information, and a dish information, and the restaurant information includes a restaurant name, a location, a phone, a map, a special menu, a per capita price, and the like, and the dish information includes the ingredient component. Content (including oil, salt content), suitable for the population, user evaluation, etc.

The ordering server 2 queries the correspondence according to the category of the keyword and the target restaurant information sent by the meal recommendation server 1, and obtains a matching dish, which is a dish in the target restaurant that satisfies the user's health condition.

In step S154, the order food server 2 transmits the alternative dish information to the meal recommendation server.

Specifically, the ordering server 2 transmits the menu item that satisfies the user's health condition in the target restaurant determined in step S153 as an alternative item, and transmits the item information to the meal recommendation server 1.

It should be noted that, in some embodiments, the step 1 may alternatively include:

The meal recommendation server 1 determines an alternative restaurant within the preset range of the location information according to the location information sent by the first mobile terminal 3, and according to the alternative restaurant information and the health status of the user sent by the first mobile terminal 3. And obtaining, from the ordering server 2, the alternative dish information matching the health condition information in each of the alternative restaurants, and transmitting the alternative restaurant information and the alternative dish information to the first mobile terminal 3.

In this way, the meal recommendation server 1 and the first mobile terminal 3 can reduce the information interaction once, and directly present the alternative restaurant and its dish information to the user of the first mobile terminal 3, facilitating the user to browse and select.

In some embodiments, the meal recommendation scheme of the present disclosure is also capable of implementing a ordering function, as shown in FIG. 3, after step S5, the method may further include the following steps S6-S10.

At step S6, the first mobile terminal 3 transmits the diners information to the meal recommendation server.

Specifically, the user of the first mobile terminal 3 determines the final diners according to the meal invitees, for example, some of the persons may be selected, or all the invited persons may be selected, and the determined diners information is sent to the meal recommendation server 1 .

In step S7 and step S8, the meal recommendation server 1 counts the number of people dining, and transmits the target restaurant information, the target dish information, the meal time, and the number of people to the order server 2.

At step S9, the order server 2 orders a meal to the target restaurant.

Specifically, the ordering server 2 can interact with the ordering system of each restaurant, and can directly send the target dish information, the meal time, and the number of people to the ordering system of the target restaurant to realize the automatic ordering.

In step S10, the meal recommendation server 1 receives the order confirmation message returned by the order server 2, and transmits the order confirmation message to the first mobile terminal 3 and the second mobile terminal 4, respectively.

Specifically, after the order is successfully delivered, the target restaurant sends a reservation confirmation message to the ordering server 2, where the order confirmation message carries the target restaurant information (which may include the restaurant name, address, phone number, map, etc.), the dish information, the meal time, and the meal staff. Information, the order confirmation message is sent by the ordering server 2 to the meal recommendation server 1.

So far, the process of the meal recommendation method is completed, and the present disclosure can not only recommend the restaurant and the dish that the user can meet the health condition, but also invite the person who has the same meal demand to dine together, and can automatically count the number of meals to realize the automatic ordering. Convenient and easy to use.

In another aspect, an embodiment of the present disclosure also provides a meal recommendation server that can implement the meal recommendation method as described above. As shown in FIG. 4, the meal recommendation server includes: a first receiving module 41, a processing module 42, a first sending module 43, a second sending module 44, and a second receiving module 45.

The first receiving module 41 is configured to receive the health status information and the location information of the user sent by the first mobile terminal 3; and receive the target restaurant information, the target menu information, and the meal time sent by the first mobile terminal 3.

The second receiving module 45 is configured to receive the meal invitation message returned by the second mobile terminal 4.

The processing module 42 is configured to determine, according to the health status information and the location information of the user, an alternative restaurant and an alternative dish that match the health status information and the location information, and instruct the first sending module 43 to select the restaurant information. And sending the candidate information to the first mobile terminal 3; and acquiring the associated user of the user, and instructing the second sending module 44 to belong to the associated user according to the target restaurant information, the target menu information, and the meal time The second mobile terminal 4 sends a meal invitation message; and, according to the meal invitation message, determines a meal invitee, and instructs the first sending module 43 to send the meal invitee information to the first mobile terminal 3, so that the user Determine the diners.

The first sending module 43 is configured to send the alternative restaurant information and the alternative dish information to the first mobile terminal 3; and send the meal inviter information to the first mobile terminal 3, so that the user determines the meal personnel.

The second sending module 44 is configured to send a meal invitation message to the second mobile terminal 4 held by the associated user.

The processing module 42 is specifically configured to: determine, according to the location information, an alternative restaurant within the preset range of the location information, and instruct the first sending module 43 to send the candidate restaurant to the first mobile terminal 3; Obtaining, according to the health condition information and the target restaurant information, the candidate menu information matching the health condition information in the target restaurant, and instructing the first sending module 43 to select the candidate dish. The information is transmitted to the first mobile terminal 3.

The meal recommendation server 1 may further include a third receiving module 46 and a third sending module 47.

In some embodiments, the processing module 42 is specifically configured to classify keywords in the diagnostic information for describing a disease type and/or a physical condition according to a disease type and/or a physical condition level, and instruct the third sending module. 47, sending the category of the keyword and the target restaurant information to the order server 2, so that the order server 2 according to the category of the keyword and the target restaurant information, and the preset restaurant information, the category of the keyword The correspondence between the food and the dish information is used to determine the alternative dish.

The third receiving module 46 is specifically configured to receive the candidate dish information sent by the ordering server 2.

In some embodiments, the processing module 42 is further configured to extract the diagnostic information for describing the disease type and/or the body before acquiring the candidate dish in the target restaurant that matches the health condition information in the target restaurant 2 The keyword of the situation.

Specifically, the processing module 42 is configured to determine, according to the location information sent by the first mobile terminal 3, an alternative restaurant within the preset range of the location information, and according to the candidate restaurant information and the location sent by the first mobile terminal 3. The health status information of the user is obtained, and the candidate food information matching the health status information in each of the alternative restaurants is obtained from the ordering server 2, and the first sending module 43 is instructed to select the alternative restaurant information and the alternative menu. The information is transmitted to the first mobile terminal 3.

In some embodiments, the third receiving module 46 is further configured to receive the order confirmation message returned by the ordering server 2.

The first receiving module 41 is further configured to receive the diners information sent by the first mobile terminal 3.

The processing module 42 is further configured to: after the first receiving module 46 receives the diners information sent by the first mobile terminal 3, count the number of diners, and instruct the third sending module 47 to use the target restaurant information, the target menu information, and the meal Time and meal number are sent to the order server 2 to cause the order server 2 to order a meal to the target restaurant; and, when the third receiving module 46 receives the order confirmation message returned by the order server 2, the first sending module 43 and the The second sending module 44 transmits the order confirmation message to the first mobile terminal 3 and the second mobile terminal 4.

It should be noted that the meal recommendation server may be implemented as a memory and a processor, wherein the memory and the processor are coupled to each other, the memory stores computer executable instructions, and the computer executable instructions are used to control the processor to execute the present The various steps of the publicly available meal recommendation method. For example, the computer executable instructions may control the processor to implement one or more of the first receiving module 41, the processing module 42, the first sending module 43, the second sending module 44, and the second receiving module 45. Features. The functions of the modules executable by the computer executable instructions controlling the processor may be arbitrarily combined as long as they are not mutually exclusive or contradictory.

Examples of suitable memories include, but are not limited to, magnetic or magnetic tape; optical storage media such as compact discs (CDs) or DVDs (digital versatile discs); flash memory; and other non-transitory media. Optionally, the memory is a non-transitory memory.

Of course, the meal recommendation server according to the present disclosure is not limited thereto, and may be implemented in a form in which other software and hardware are combined.

The meal recommendation device provided by the present disclosure can not only recommend a restaurant and a dish that meets the health condition of the user who has a meal demand, but also automatically initiate a meal invitation to the associated user after the user determines the restaurant, the dish and the meal time of the meal, thereby It is powerful, easy to use and fast for the user to invite users who have the same dietary preference or the same healthy eating needs.

It is to be understood that the above embodiments are merely exemplary embodiments employed to explain the principles of the present disclosure, but the present disclosure is not limited thereto. Various modifications and improvements can be made by those skilled in the art without departing from the spirit and scope of the disclosure, and such modifications and improvements are also considered to be within the scope of the disclosure.

Claims

A meal recommendation method, including:

Determining an alternative restaurant and an alternative dish that matches the health status information and the location information according to the user's health status information and location information sent by the first mobile terminal, and transmitting the alternative restaurant information and the alternative dish information to the Said first mobile terminal;

Receiving target restaurant information, target dish information, and meal time from the first mobile terminal, the target restaurant being selected from the candidate restaurant, the target dish being an alternative from the target restaurant Selected from the dishes.
The method of claim 1, wherein the determining the alternative restaurant and the candidate dish that matches the health status information and the location information according to the user's health status information and location information sent by the first mobile terminal, and Sending the alternative restaurant information and the alternative dish information to the first mobile terminal, including:

Determining, according to location information sent by the first mobile terminal, an alternative restaurant within a preset range of the location information, and transmitting the alternative restaurant information to the first mobile terminal;

Receiving the target restaurant information sent by the first mobile terminal and the health status information of the user, and acquiring the target restaurant and the health status from the ordering server according to the target restaurant information and the health status information of the user. Alternative dish information for information matching;

Sending the alternative dish information to the first mobile terminal.
The method of claim 2, wherein the obtaining, according to the health status information and the target restaurant information, candidate food information in the alternative restaurant that matches the health status information, including :

Sorting keywords of the diagnostic information for describing at least one of a disease type and a physical condition according to at least one of a disease type and a physical condition level;

Transmitting the category of the keyword and the target restaurant information to the ordering server, so that the ordering server according to the category of the keyword and the target restaurant information, and preset restaurant information, keywords Correspondence between categories and menu information to determine alternative dishes;

Receiving alternative dish information sent by the ordering server.
The method of claim 2, wherein the health status information comprises diagnostic information comprising one or any combination of the following: a test list, a medical checklist, a case.
The method according to claim 4, wherein said method of obtaining, from said ordering restaurant, an alternative dish in said target restaurant that matches said health condition information based on said health condition information and said target restaurant The method further includes extracting a keyword in the diagnostic information for describing at least one of a disease type and a physical condition.
The method of claim 1, wherein the determining the alternative restaurant and the candidate dish that matches the health status information and the location information according to the user's health status information and location information sent by the first mobile terminal, and Sending the alternative restaurant information and the alternative dish information to the first mobile terminal, including:

Determining, according to the location information sent by the first mobile terminal, an alternative restaurant within a preset range of the location information, and according to the candidate restaurant information and the health status information of the user sent by the first mobile terminal, The ordering server obtains candidate menu information matching the health status information in each of the alternative restaurants;

The alternative restaurant information and the alternative dish information are transmitted to the first mobile terminal.
The method of claim 1, further comprising, after receiving the target restaurant information, the target menu information, and the meal time from the first mobile terminal,

Obtaining an associated user of the user, and sending a meal invitation message to the second mobile terminal held by the associated user according to the target restaurant information, the target menu information, and the meal time sent by the first mobile terminal;

And determining, according to the meal invitation message returned by the second mobile terminal, the meal invitee, and sending the meal invitee information to the first mobile terminal, so that the user determines the diners.
The method of claim 7, wherein after the sending the meal invitee information to the first mobile terminal, the method further comprises:

Receiving the diners information sent by the first mobile terminal, and counting the number of diners;

Sending the target restaurant information, the target dish information, the meal time, and the number of people to the ordering server, so that the ordering server orders a meal to the target restaurant;

And receiving the order confirmation message to the first mobile terminal and the second mobile terminal respectively when receiving the order confirmation message returned by the order server.
The method according to any one of claims 1 to 8, wherein the alternative dish information includes: a dish name, a price, a suitable population, a raw material content, and a correspondence of user evaluations.
The method of any of claims 1-8, wherein the associated user comprises one or any combination of the following: an address book contact, a recent contact, a friend in an instant messaging software, is looking for the target Restaurant and / or target dishes for people.
A meal recommendation server, including:

Memory;

a processor coupled to the memory,

Wherein the memory stores computer executable instructions for controlling the processor to:

Receiving health status information and location information of the user sent by the first mobile terminal;

Determining an alternative restaurant and an alternative dish that matches the health status information and the location information according to the health status information and the location information of the user, and instructing to send the alternative restaurant information and the alternative dish information to the first Mobile terminal;

Receiving target restaurant information, target dish information, and meal time sent by the first mobile terminal, the target restaurant is selected from the candidate restaurant, and the target dish is from a device associated with the target restaurant Selected from the selection of dishes.
A meal recommendation server according to claim 11, wherein said memory stores computer executable instructions for controlling said processor to: determine, within said preset range of said location information, based on said location information An alternative restaurant, and instructing to send the alternative restaurant to the first mobile terminal; and obtaining, within the target restaurant, the health from a subscription server based on the health status information and the target restaurant information The status information matches the candidate item information, and indicates that the candidate item information is sent to the first mobile terminal.
A meal recommendation server according to claim 12, wherein said memory stores computer executable instructions for controlling said processor to:

Sorting keywords of the diagnostic information for describing at least one of a disease type and a physical condition according to at least one of a disease type and a physical condition level, and indicating a category of the keyword and the target The restaurant information is sent to the ordering server, so that the ordering server determines according to the category of the keyword and the target restaurant information, and the correspondence between the preset restaurant information, the category of the keyword, and the menu information. Alternative dishes;

Receiving alternative dish information sent by the ordering server.
The meal recommendation server according to claim 12, wherein the health condition information includes diagnostic information including one or any combination of the following: a test list, a medical checklist, and a case.
The meal recommendation server according to claim 14, wherein said memory stores computer executable instructions for controlling said processor to: match said health condition information in said target restaurant from said order server A keyword for describing at least one of a disease type and a physical condition in the diagnostic information is extracted before the alternative.
The meal recommendation server according to claim 11, wherein said memory stores computer executable instructions for controlling said processor to: determine location information in said location information based on location information transmitted by said first mobile terminal An alternative restaurant in a preset range, and acquiring, according to the candidate restaurant information and the health status information of the user sent by the first mobile terminal, the subscription service server to match the health status information in each of the candidate restaurants The candidate food information, and instructing the first sending module to send the alternative restaurant information and the alternative dish information to the first mobile terminal.
The meal recommendation server of claim 11 wherein said memory further stores computer executable instructions for controlling said processor to::

Obtaining an associated user of the user, and instructing to send a meal invitation message to the second mobile terminal held by the associated user according to the target restaurant information, the target restaurant information, and the meal time;

Receiving a meal invitation message returned by the second mobile terminal;

And determining, according to the meal invitation message, the meal invitee, and instructing to send the meal invitee information to the first mobile terminal, so that the user determines the mealperson.
The meal recommendation server of claim 17 wherein said memory further stores computer executable instructions for controlling said processor to:

Receiving a order confirmation message returned by the ordering server;

Receiving the diners information sent by the first mobile terminal;

After receiving the diners information sent by the first mobile terminal, counting the number of diners, and instructing to send the target restaurant information, the target dish information, the meal time, and the number of diners to the ordering server, so that the ordering meal is made The server orders a meal with the target restaurant;

Upon receiving the order confirmation message returned by the ordering server, respectively instructing to send the order confirmation message to the first mobile terminal and the second mobile terminal.
The meal recommendation server according to any one of claims 11 to 18, wherein the alternative dish information includes: a dish name, a price, a suitable population, a raw material content, and a correspondence of user evaluations.
The meal recommendation server according to any one of claims 11 to 18, wherein the associated user comprises one or any combination of the following: an address book contact, a recent contact, a friend in an instant messaging software, a search for a place The person who is the target restaurant and/or the target dish.