CN114092179A - Food object search method, publishing method, device, equipment and medium - Google Patents

Abstract

The application discloses a food object searching method, a food object publishing device, food object searching equipment and a food object publishing medium, and belongs to the technical field of internet. The method comprises the following steps: acquiring a first currently input food characteristic, and sending a food search request to a server, wherein the food search request carries the first food characteristic; the food object sent by the server is received, the food object is a food object corresponding to the second food characteristic matched with the first food characteristic, the smell and the taste which are difficult to accurately describe by characters are represented by the food characteristics, the expression mode of the food is expanded, the smell and the taste of the food can be accurately expressed by the food characteristics, and the accuracy of food searching is improved under the condition that the accuracy of describing the smell and the taste of the food is improved.

Description

Food object search method, publishing method, device, equipment and medium

technical field

The present application relates to the field of Internet technologies, and in particular, to a food object search method, publishing method, apparatus, device and medium.

Background technique

In recent years, with the rapid development of mobile networks and smart terminals, the function of food search has been widely used in various fields such as takeaway and fresh food distribution. Usually, when searching for food, only the name of the food can be input by the user, so as to search for the corresponding food based on the name of the food. However, if the user enters an inaccurate food name, it will result in an inaccurate search. Therefore, the accuracy of this search method is poor.

SUMMARY OF THE INVENTION

The examples of the present application provide a method for searching food objects, a method for publishing, a device, a device and a medium, which can represent the smell and taste of food that cannot be described in words through food features, which not only expands the expression of food, but also improves the description of food. Improves the accuracy of searching for food without the smell and taste of food. The technical solution is as follows:

In one aspect, a method for searching for a food object is provided, the method comprising:

Obtain the first food feature of the current input, the first food feature includes at least one of a first smell feature or a first taste feature, the first smell feature includes a food feature on at least one smell dimension, the first smell feature a taste feature includes food features in at least one taste dimension;

sending a food search request to the server, the food search request carrying the first food feature;

A food object sent by the server is received, where the food object is a food object corresponding to a second food feature matching the first food feature.

In some embodiments, the obtaining the first food feature of the current input includes:

Displaying a search interface, the search interface includes multiple food features on each food dimension;

Combining the selected food features in the search interface to obtain the first food feature.

In some embodiments, the first food feature includes the first smell feature, and the obtaining the currently input first food feature includes:

The food to be searched is detected by an odor sensor to obtain the first odor feature.

In some embodiments, the first food feature includes the first taste feature, and the obtaining the currently input first food feature includes:

The food to be searched is detected by the taste sensor to obtain the first taste feature.

In some embodiments, the method further includes:

displaying the food object;

adding the food object to a target list in response to a selection operation on the food object; or,

In response to the confirmation operation on the food object, a food delivery order is generated, the food delivery order including the food object, the food delivery order indicating delivery of the food item to which the food object refers.

In one aspect, a method for searching for a food object is provided, the method comprising:

Receive a food search request sent by the terminal, the food search request carries a first food feature, the first food feature includes at least one of a first smell feature or a first taste feature, and the first smell feature includes at least one food features in the smell dimension, the first taste features include food features in at least one taste dimension;

in response to the food search request, searching the food characteristic database for a second food characteristic that matches the first food characteristic;

Send the food object corresponding to the second food feature to the terminal.

In some embodiments, the method further includes:

receiving a food release request sent by a second terminal, where the food release request carries the food object and the second food feature corresponding to the food object;

The food object and the second food feature corresponding to the food object are stored in the food feature database.

In some embodiments, the food search request includes the first odor feature, and the first odor feature is obtained by detecting the food to be searched by the first terminal through an odor sensor; the response to the food search request, from In the food feature database, search for a second food feature matching the first food feature, including:

In response to the food search request, based on the feature conversion model, the first odor feature is converted to obtain a third odor feature, the first odor feature belongs to the first format, and the third odor feature belongs to the second format ;

From the database of food characteristics, a search is made for the second odor characteristic that matches the third odor characteristic.

In some embodiments, the method further includes:

acquiring a first sample odor feature and a second sample odor feature of the sample food, the first sample odor feature belongs to the first format, and the second sample odor feature belongs to the second format;

Based on the first sample odor feature and the second sample odor feature, the feature conversion model is trained to obtain a trained feature conversion model.

In some embodiments, the food search request includes the first taste feature, and the first taste feature is obtained by detecting the food to be searched by the first terminal through a taste sensor; the response to the food search request, from In the food feature database, search for a second food feature matching the first food feature, including:

In response to the food search request, based on the feature conversion model, the first flavor feature is converted to obtain a third flavor feature in a fourth format, the first flavor feature belongs to a third format, and the third flavor feature belongs to the fourth format;

From the food feature database, search for the second flavor feature that matches the third flavor feature.

In some embodiments, the method further includes:

Obtaining the first sample taste feature and the second sample taste feature of the sample food, the format of the first sample taste feature belongs to the third format, and the second sample taste feature belongs to the fourth format;

Based on the taste feature of the first sample and the taste feature of the second sample, the feature conversion model is trained to obtain a trained feature conversion model.

In some embodiments, the searching for a second food feature matching the first food feature from the food feature database includes:

obtaining the matching degree between the first food feature and the second food feature;

From the food feature database, at least one of the second food features with the highest matching degree is selected.

In some embodiments, the first food characteristic includes the first smell characteristic, the second food characteristic includes a second smell characteristic; the obtaining between the first food characteristic and the second food characteristic match, including:

obtaining the distance between the first odor feature and the second odor feature;

The ratio between the distance and the reference distance is determined as the matching degree between the first smell feature and the second smell feature.

In some embodiments, the first food characteristic includes the first taste characteristic, and the second food characteristic includes a second taste characteristic; and the obtaining between the first food characteristic and the second food characteristic match, including:

determining the first area occupied by the first taste feature in the taste radar map;

determining a second area occupied by the second taste feature in the taste radar map;

obtaining the area of the overlapping area of the first area and the second area;

The ratio between the area and the area of the second region is determined as the matching degree between the first taste feature and the second taste feature.

In some embodiments, the first food characteristic includes the first smell characteristic and the first taste characteristic, the second food characteristic includes a second smell characteristic and a second taste characteristic; the obtaining the first taste characteristic The matching degree between a food feature and the second food feature, including:

determining a first degree of match between the first odor feature and the second odor feature;

determining a second degree of matching between the first taste feature and the second taste feature;

The first matching degree and the second matching degree are weighted to obtain the matching degree between the first food feature and the second food feature.

In one aspect, a method for releasing a food object is provided, the method comprising:

Obtain the food feature of the current input, the food feature includes at least one of the smell feature or the taste feature of the current food, the smell feature includes the food feature on at least one smell dimension, and the taste feature includes at least one taste dimension. food characteristics;

A food release request is sent to the server, where the food release request carries a food object corresponding to the food and a food feature corresponding to the food object.

In some embodiments, the obtaining the second food characteristic of the current input includes:

displaying a publishing interface, the publishing interface includes multiple food features on each food dimension;

The selected food features in the publishing interface are combined to obtain the food features.

In some embodiments, the food feature includes the smell feature, and the obtaining the current input food feature includes:

The food to be released is detected by an odor sensor to obtain the odor characteristics.

In some embodiments, the food feature includes the taste feature, and the obtaining the current input food feature includes:

The taste feature is obtained by detecting the food to be released by the taste sensor.

In another aspect, a food object search device is provided, the device comprising:

The acquisition module is used to acquire the first food feature of the current input, the first food feature includes at least one of the first smell feature or the first taste feature, and the first smell feature includes the food on at least one smell dimension features, the first taste features include food features on at least one taste dimension;

a sending module, configured to send a food search request to a server, where the food search request carries the first food feature;

A receiving module, configured to receive a food object sent by the server, where the food object is a food object corresponding to a second food feature matching the first food feature.

In some embodiments, the obtaining module includes:

a display unit for displaying a search interface, the search interface includes a variety of food features on each food dimension;

The combining unit is configured to combine the selected food features in the search interface to obtain the first food feature.

In some embodiments, the first food feature includes the first odor feature, and the acquisition module is configured to detect the food to be searched through an odor sensor to obtain the first odor feature.

In some embodiments, the first food feature includes the first taste feature, and the acquisition module is configured to detect the food to be searched through a taste sensor to obtain the first taste feature.

In some embodiments, the apparatus further includes:

a display module for displaying the food object;

The adding module is configured to add the food object to the target list in response to the selection operation on the food object; or,

The generating module is configured to generate a food delivery order in response to the confirmation operation on the food object, the food delivery order includes the food object, and the food delivery order is used for instructing delivery of the food indicated by the food object.

In another aspect, a food object search device is provided, the device comprising:

The receiving module is configured to receive a food search request sent by the terminal, where the food search request carries a first food feature, and the first food feature includes at least one of a first smell feature or a first taste feature, and the first food feature includes at least one of a first smell feature or a first taste feature. The smell characteristics include food characteristics in at least one smell dimension, and the first taste characteristics include food characteristics in at least one taste dimension;

a search module, used to search for a second food feature matching the first food feature from the food feature database in response to the food search request;

A sending module, configured to send the food object corresponding to the second food feature to the terminal.

In some embodiments, the apparatus further includes:

The receiving module is further configured to receive a food release request sent by a second terminal, where the food release request carries the food object and the second food feature corresponding to the food object;

The storage module is configured to store the food object and the second food feature corresponding to the food object in the food feature database.

In some embodiments, the food search request includes the first smell feature, and the first smell feature is detected by the first terminal through the smell sensor of the food to be searched; the search module includes:

The conversion unit is configured to, in response to the food search request, convert the first odor feature based on a feature conversion model to obtain a third odor feature in a second format, where the first odor feature belongs to the first format, so said third odor characteristic belongs to the second format;

A search unit, configured to search for the second smell feature matching the third smell feature from the food feature database.

In some embodiments, the apparatus further includes:

an acquisition module for acquiring a first sample odor feature and a second sample odor feature of the sample food, the first sample odor feature belonging to the first format, and the second sample odor feature belonging to the second format ;

A training module, configured to train the feature conversion model based on the first sample odor feature and the second sample odor feature to obtain a trained feature conversion model.

In some embodiments, the food search request includes the first taste feature, and the first taste feature is obtained by detecting the food to be searched by the first terminal through a taste sensor; the search module includes:

A conversion unit, configured to convert the first taste feature based on a feature conversion model in response to the food search request to obtain a third taste feature, the first taste feature belongs to a third format, and the third taste feature Features belong to the fourth format;

A search unit, configured to search for the second flavor feature matching the third flavor feature from the food feature database.

In some embodiments, the apparatus further includes:

an acquisition module for acquiring a first sample flavor feature and a second sample flavor feature of the sample food, the first sample flavor feature belongs to the third format, and the second sample flavor feature belongs to the fourth format ;

A training module, configured to train the feature conversion model based on the taste feature of the first sample and the taste feature of the second sample to obtain a trained feature conversion model.

In some embodiments, the search module includes:

an obtaining unit for obtaining the matching degree between the first food feature and the second food feature;

The selecting unit is configured to select at least one of the second food features with the highest matching degree from the food feature database.

In some embodiments, the first food feature includes the first smell feature, and the second food feature includes a second smell feature; the acquiring unit is configured to:

obtaining the distance between the first odor feature and the second odor feature;

The ratio between the distance and the reference distance is determined as the matching degree between the first smell feature and the second smell feature.

In some embodiments, the first food feature includes the first taste feature, and the second food feature includes a second taste feature; the acquiring unit is configured to:

determining the first area occupied by the first taste feature in the taste radar map;

determining a second area occupied by the second taste feature in the taste radar map;

obtaining the area of the overlapping area of the first area and the second area;

The ratio between the area and the area of the second region is determined as the matching degree between the first taste feature and the second taste feature.

In some embodiments, the first food feature includes the first smell feature and the first taste feature, and the second food feature includes a second smell feature and a second taste feature; the acquiring unit, using At:

determining a first degree of match between the first odor feature and the second odor feature;

determining a second degree of matching between the first taste feature and the second taste feature;

The first matching degree and the second matching degree are weighted to obtain the matching degree between the first food feature and the second food feature.

In another aspect, a food object release device is provided, the device comprising:

The acquisition module is used to acquire the current input food feature, the food feature includes at least one of the smell feature or the taste feature of the current food, the smell feature includes the food feature on at least one smell dimension, and the taste feature includes Food characteristics in at least one flavor dimension;

The sending module is configured to send a food release request to the server, where the food release request carries a food object corresponding to the food and a food feature corresponding to the food object.

In some embodiments, the obtaining module includes:

a display unit, used for displaying a publishing interface, the publishing interface includes a variety of food features on each food dimension;

The combining unit is configured to combine the selected food features in the publishing interface to obtain the food features.

In some embodiments, the food feature includes the smell feature, and the acquiring module is configured to detect the food to be released through an smell sensor to obtain the smell feature.

In some embodiments, the food feature includes the taste feature, and the acquisition module is configured to detect the food to be released by using a taste sensor to obtain the taste feature.

In another aspect, a terminal is provided, the terminal includes a processor and a memory, and at least one piece of program code is stored in the memory, and the at least one piece of program code is loaded and executed by the processor, so as to realize the above aspect The operations performed in the food object search method or the food object release method.

In another aspect, a server is provided, the server includes a processor and a memory, the memory stores at least one piece of program code, the at least one piece of program code is loaded and executed by the processor, so as to realize the above aspects The operations performed in the described food object search method.

In another aspect, a computer-readable storage medium is provided, and at least one piece of program code is stored in the computer-readable storage medium, and the at least one piece of program code is loaded and executed by a processor, so as to realize the above-mentioned aspects Actions performed in a food object search method or a food object publish method.

In another aspect, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the operations performed in the method for searching for food objects as described in the above aspects, or to implement the above aspects The action performed in the release method of the food object.

In the solution provided in the embodiment of the present application, the food feature includes at least one of an odor feature and a taste feature, the odor feature indicates the smell of the food, and the taste feature indicates the taste of the food, and the food feature is used to represent the smell and Taste not only expands the expression of food, but also can accurately express the smell and taste of food through food features, which improves the accuracy of searching for food while improving the accuracy of describing the smell and taste of food.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present application more clearly, the following briefly introduces the drawings that are used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 is a schematic structural diagram of an implementation environment provided by an embodiment of the present application;

2 is a flowchart of a method for searching for food objects provided by an embodiment of the present application;

3 is a flowchart of a method for searching food objects provided by an embodiment of the present application;

4 is a flowchart of a food release method provided by an embodiment of the present application;

5 is a flowchart of a method for searching food objects provided by an embodiment of the present application;

6 is a flowchart of a food object search method provided by an embodiment of the present application;

Fig. 7 is a flow chart of a food release method provided by an embodiment of the present application;

8 is a schematic diagram of a food object search method provided by an embodiment of the present application;

9 is a schematic structural diagram of a food object search device provided by an embodiment of the present application;

10 is a schematic structural diagram of another food object search device provided by an embodiment of the present application;

11 is a schematic structural diagram of a food object search device provided by an embodiment of the present application;

12 is a schematic structural diagram of another food object search device provided by an embodiment of the present application;

13 is a schematic structural diagram of a food object issuing device provided by an embodiment of the present application;

14 is a schematic structural diagram of another food object issuing device provided by an embodiment of the present application;

FIG. 15 is a schematic structural diagram of a terminal provided by an embodiment of the present application;

FIG. 16 is a schematic structural diagram of a server provided by an embodiment of the present application.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings. The term "at least one" in this application refers to one or more, and the meaning of "plurality" refers to two or more.

An implementation environment of the embodiment of the present application is shown in FIG. 1 . Referring to FIG. 1 , the implementation environment includes a first terminal 101 , a second terminal 102 , and a server 103 . The first terminal 101 and the second terminal 102 are respectively connected with the server 103 through a communication network.

The second terminal 102 acquires the food feature of the current food, and sends the food object corresponding to the current food and the food feature corresponding to the food object to the server 103, and the server 103 stores the food object and the food feature corresponding to the food object. If the user of the first terminal 101 needs to search for food, the first terminal 101 inputs the first food feature, and after obtaining the currently inputted first food feature, the first terminal 101 sends a food search request carrying the first food feature to the server 103 , the server 103 determines the food object matching the first food feature according to the received food search request, and the server 103 returns the food object to the first terminal 101 for the user of the first terminal 101 to select.

The first terminal 101 and the second terminal 102 may be various types of terminals such as mobile phones, tablet computers, computers, etc., and the server 103 may be a server, a server cluster composed of several servers, or a cloud computing service center .

FIG. 2 is a flowchart of a method for searching food objects provided by an embodiment of the present application. Referring to FIG. 2 , the method includes:

201, the first terminal obtains the first food feature of the current input, the first food feature includes at least one of the first smell feature or the first taste feature, the first smell feature includes the food feature on at least one smell dimension, the first Taste characteristics include food characteristics in at least one taste dimension.

Wherein, the first smell feature represents the smell of the food to be searched. The first odor feature includes at least one odor dimension, each odor dimension indicating a type of odor, the features on each odor dimension indicating whether the food product to be searched has this type of odor, or whether the food has this type of odor concentration of each type of odor. For example, use 0 to indicate that the food product does not have this type of odor, and use 1 to indicate that the food product has this type of odor. For another example, 20% is used to indicate that the food has a concentration of 20% of this type of odor, and 30% is used to indicate that the food has a concentration of this type of odor of 30%. For example, the smell dimension includes spice smell, flower smell, burnt smell, putrid smell, resin smell, fruit smell and so on.

The first taste feature represents the taste of the food to be searched. The first taste feature includes at least one taste dimension, each taste dimension indicates a type of taste, and the feature on each taste dimension indicates whether the food to be searched has this type of taste, or indicates whether the food has this type of taste The concentration of each type of flavor. For example, use 0 to indicate that the food product does not have this type of taste, and use 1 to indicate that the food product has this type of taste. As another example, 20% is used to indicate that the food has a concentration of 20% of this type of taste, and 30% is used to indicate that the food has a concentration of 30% of this type of taste. For example, the taste dimension includes dimensions such as sour, sweet, bitter, salty, and umami.

202. The first terminal sends a food search request to the server, where the food search request carries the first food feature.

Wherein, the food search request instructs the server to search according to the food search request to obtain a food object matching the first food feature carried in the food search request.

203. The first terminal receives a food object sent by the server, where the food object is a food object corresponding to a second food feature matching the first food feature.

Among them, the food object refers to a virtual object created for the food, which is used to refer to the real food. For example, the food object includes the name of the food, the picture of the food, the introduction of the food, or other contents, which are not limited in the embodiments of the present application.

In the embodiment of the present application, the server will search according to the received food search request, obtain the food object matching the first food feature, and send the food object matching the first food feature to the terminal, then the terminal can receive the food object sent by the server. food object.

In the method provided by the embodiment of the present application, the food feature includes at least one of an odor feature and a taste feature, the odor feature indicates the smell of the food, and the taste feature indicates the taste of the food, and the food feature is used to represent the smell that is difficult to accurately describe in words It not only expands the expression of food, but also accurately expresses the smell and taste of food through food features, which improves the accuracy of searching for food while improving the accuracy of describing the smell and taste of food.

FIG. 3 is a flowchart of a method for searching food objects provided by an embodiment of the present application. Referring to FIG. 3 , the method includes:

301. The server receives a food search request sent by a terminal, the food search request carries a first food feature, the first food feature includes at least one of a first smell feature or a first taste feature, and the first smell feature includes at least one smell dimension. The food features, the first taste features include food features on at least one taste dimension.

Wherein, the first smell feature represents the smell of the food to be searched. The first odor feature includes at least one odor dimension, each odor dimension indicating a type of odor, the features on each odor dimension indicating whether the food product to be searched has this type of odor, or whether the food has this type of odor concentration of each type of odor. For example, the smell dimension includes spice smell, flower smell, burnt smell, putrid smell, resin smell, fruit smell and so on. The first taste feature represents the taste of the food to be searched. The first taste feature includes at least one taste dimension, each taste dimension indicates a type of taste, and the feature on each taste dimension indicates whether the food to be searched has this type of taste, or indicates whether the food has this type of taste The concentration of each type of flavor. For example, the taste dimension includes dimensions such as sour, sweet, bitter, salty, and umami.

302. In response to the food search request, the server searches the food feature database for a second food feature matching the first food feature.

In this embodiment of the present application, the server is provided with a food feature database. The food feature database stores the food objects reported by the terminal and the food features corresponding to the food objects.

In the embodiment of the present application, the server searches in the food feature database in response to the food search request to obtain a second food feature matching the first food feature, and the food object corresponding to the second food feature is the same as the first food feature. A food object whose food features are matched.

For example, if the first food feature includes a first smell feature, a food object matching the smell of the food may be searched for according to the first smell feature. If the first food feature includes the first taste feature, a food object matching the taste of the food may be searched for according to the first taste feature. If the first food feature includes the first smell feature and the first taste feature, a food object matching the smell and taste of the food can be searched according to the first smell feature.

303. The server sends the food object corresponding to the second food feature to the terminal.

In the method provided by the embodiment of the present application, the food feature includes at least one of an odor feature and a taste feature, the odor feature indicates the smell of the food, and the taste feature indicates the taste of the food, and the food feature is used to represent the smell that is difficult to accurately describe in words It not only expands the expression of food, but also accurately expresses the smell and taste of food through food features, which improves the accuracy of searching for food while improving the accuracy of describing the smell and taste of food.

FIG. 4 is a flowchart of a method for searching food objects provided by an embodiment of the present application. Referring to FIG. 4 , the method includes:

401, the first terminal obtains the first food feature of the current input, the first food feature includes at least one of the first smell feature or the first taste feature, the first smell feature includes the food feature on at least one smell dimension, the first Taste characteristics include food characteristics in at least one taste dimension.

Wherein, the first smell feature represents the smell of the food to be searched. The first odor feature includes at least one odor dimension, each odor dimension indicating a type of odor, the features on each odor dimension indicating whether the food product to be searched has this type of odor, or whether the food has this type of odor concentration of each type of odor. For example, the smell dimension includes spice smell, flower smell, burnt smell, putrid smell, resin smell, fruit smell and so on. The first taste feature represents the taste of the food to be searched. The first taste feature includes at least one taste dimension, each taste dimension indicates a type of taste, and the feature on each taste dimension indicates whether the food to be searched has this type of taste, or indicates whether the food has this type of taste The concentration of each type of flavor. For example, the taste dimension includes dimensions such as sour, sweet, bitter, salty, and umami.

In the embodiment of the present application, after the first terminal acquires the currently inputted first food feature, it can determine whether the user searches for the first food feature according to at least one of the first smell feature or the first taste feature included in the first food feature. The smell and taste of food.

In some embodiments, a food recommendation application is installed on the first terminal, the user logs in to the food recommendation application based on the user ID, the first terminal displays an application interface of the food recommendation application, and the user searches for food according to the application interface displayed on the first terminal.

The user identifier is a user name, a user mobile phone number, or other identifiers, which are not limited in this embodiment of the present application.

It should be noted that the first terminal in the embodiment of the present application may acquire the first food feature in a variety of ways. The following describes the manner in which the first terminal acquires the first food feature:

The first type: the first terminal displays a search interface, and combines the food features selected in the search interface to obtain the first food feature.

Among them, the search interface includes a variety of food features on each food dimension. After the first terminal displays the search interface, the user can view a variety of food features on each food dimension in the search interface, the user inputs food features based on each food dimension, and the first terminal detects the detected food features input by the user. Combining to obtain the first food feature.

For example, as shown in Figure 5, the search interface includes two shapes of graphs. The first shape is an odor column that includes food dimensions such as spice, flower, burnt, rot, resin, and fruit. The second shape is a radar chart including food dimensions such as sour, sweet, bitter, salty, and fresh, and the line corresponding to each food dimension includes a point for adjusting the food dimension. Drag the point on the line corresponding to each food dimension to adjust the concentration of each odor or taste, and the first terminal obtains the first food feature according to the operation detected on the search interface.

The second type: the first terminal acquires the first food feature through the sensor.

In the embodiment of the present application, the first terminal includes a sensor. If the user needs to detect the first food feature of the food to be searched, the first terminal is approached to the food to be searched, and then the first terminal uses the set sensor to perform the search on the food to be searched. detection to obtain the first food feature of the food to be searched.

In some embodiments, the sensor includes at least one of an odor sensor or a taste sensor. The smell sensor is used to detect the smell of food. The taste sensor is used to detect the taste of food.

Optionally, if the sensor includes an odor sensor, the first terminal detects the food to be searched through the odor sensor to obtain the first odor feature, that is, the first food feature includes the first odor feature.

Optionally, if the sensor includes a taste sensor, the first terminal detects the food to be searched through the taste sensor to obtain the first taste feature, that is, the first food feature includes the first taste feature.

402. The first terminal sends a food search request to the server, where the food search request carries the first food feature.

403. The server receives the food search request sent by the first terminal.

404. In response to the food search request, the server searches the food feature database for a second food feature matching the first food feature.

In the embodiment of the present application, the first terminal acquires the first food feature of the food to be searched, sends a food search request carrying the first food feature to the server, the server receives the food search request, and responds to the food search request, in the food feature A search is performed in the database to search for a food product that matches the characteristic of the first food product. And since the searched second food feature matches the first food feature, and the second food feature corresponds to a food object, the food object corresponding to the second food feature is a food object that matches the first food feature.

Wherein, the food feature database includes food objects and food features corresponding to the food objects. The food object and the food feature corresponding to the food object are reported by other terminals, and stored in the food feature database by the server.

In some embodiments, the food search request includes at least one of the first smell feature or the first taste feature. The following describes the case of the first smell feature or the first taste feature included in the food search request.

The first type: the food search request includes a first smell feature, and the first smell feature is obtained by detecting the food to be searched by the first terminal through the smell sensor. In response to the food search request, the server converts the first odor feature based on the feature conversion model to obtain a third odor feature, and searches the food feature database for a second odor feature matching the third odor feature.

The first smell feature belongs to the first format, and the third smell feature belongs to the second format. If the first odor feature sent by the first terminal is detected by the first terminal through the odor sensor, after receiving the food search request sent by the first terminal, the server converts the first odor feature in the first format based on the feature conversion model , obtain the third smell feature in the second format, the third smell feature in the second format meets the requirements of the server to search for the second smell feature, so the server responds to the food search request and searches the food feature database according to the third smell feature , to obtain a second odor feature that matches the third odor feature.

In some embodiments, if the server needs to use the feature conversion model to convert the first odor feature, the feature conversion model needs to be trained first. The process of training the feature conversion model includes: acquiring the first sample odor feature and the first sample odor feature of the sample food. Two sample odor features, the first sample odor feature belongs to the first format, and the second sample odor feature belongs to the second format. The server trains the feature conversion model based on the first sample odor feature and the second sample odor feature, and obtains a trained feature conversion model.

Wherein, before the server converts the odor feature based on the feature conversion model, the feature conversion model needs to be trained first, so that the trained feature conversion model can convert the first format of the odor feature into the second format. The server first obtains the first sample odor feature belonging to the first format and the second sample odor feature belonging to the second format, inputs the first sample odor feature into the feature conversion model, and obtains the training odor feature, the training odor feature belongs to In the second format, the parameters of the feature conversion model are adjusted according to the difference between the training odor feature and the second sample odor feature to obtain an adjusted feature conversion model.

Optionally, the second sample smell characteristic of the sample item is judged by the reviewer according to the smell of the food, so as to obtain the second sample smell characteristic belonging to the second format.

In the embodiment of the present application, the odor sensor is used to detect the food to obtain the odor characteristics, and the odor that is difficult to be accurately described by text is digitized, which not only expands the way of expressing the odor, but also improves the accuracy of the description of the odor, thereby improving the Accuracy of scent search for food.

The second type: the food search request includes the first taste feature, and the first taste feature is obtained by detecting the food to be searched by the first terminal through the taste sensor. In response to the food search request, the server converts the first flavor feature based on the feature conversion model to obtain a third flavor feature, and searches the food feature database for a second flavor feature matching the third flavor feature.

The first taste feature belongs to the third format, and the third taste feature belongs to the fourth format. If the first taste feature sent by the first terminal is detected by the first terminal through the taste sensor, after receiving the food search request sent by the first terminal, the server converts the first taste feature in the third format based on the feature conversion model , obtain the third taste feature of the fourth format, the third taste feature of the fourth format meets the requirements of the server to search for the second taste feature, so the server responds to the food search request and searches from the food feature database according to the third taste feature , to obtain the second taste feature that matches the third taste feature.

In some embodiments, if the server needs to use the feature conversion model to convert the first taste feature, the feature conversion model needs to be trained first. The process of training the feature conversion model includes: acquiring the first sample taste feature and the first sample taste feature of the sample food. Two samples of taste characteristics, the first sample taste characteristics belong to the third format, and the second sample taste characteristics belong to the fourth format. The server trains the feature conversion model based on the taste feature of the first sample and the taste feature of the second sample, and obtains the trained feature conversion model.

The server needs to train the feature conversion model before converting the taste feature based on the feature conversion model, so that the trained feature conversion model can convert the third format of the taste feature into the fourth format. The server first obtains the taste feature of the first sample belonging to the third format and the taste feature of the second sample belonging to the fourth format, and inputs the first taste and smell feature of the third format into the feature conversion model to obtain the training taste feature. The training taste feature belongs to the fourth format, and then according to the difference between the training taste feature in the fourth format and the second sample taste feature, the parameters of the feature conversion model are adjusted to obtain an adjusted feature conversion model.

Optionally, the second sample taste characteristic of the second format of the sample item is judged by the reviewer according to the taste of the food, so as to obtain the second sample taste characteristic belonging to the second format.

In the embodiment of the present application, the taste sensor is used to detect the food to obtain the taste characteristics, and the taste that is difficult to be accurately described by text is digitized, which not only expands the way of expressing the taste, but also improves the accuracy of the description of the taste. Taste the accuracy of searching for food.

Next, how to determine the second food feature matching the first food feature will be described.

In some embodiments, the matching degree between the first food feature and the second food feature is obtained, and from the food feature database, at least one second food feature with the highest matching degree is selected.

In the embodiment of the present application, the server obtains the matching degree between the first food feature and the second food feature, uses the matching degree to represent the matching degree between the first food feature and the second food feature, and then uses the matching degree to represent the matching degree between the first food feature and the second food feature. For the matching degree between the food feature and the second food feature, at least one second food feature with the largest matching degree is selected.

Among them, the greater the matching degree between the first food feature and the second food feature, the greater the matching degree between the first food feature and the second food feature, so the food feature with a large matching degree is selected as the first food feature. The feature matches the second food feature.

For example, sort the second food features in descending order of matching degree, and then select a preset number of second food features in the front according to the sorting order, and determine as the second food features matching the first food feature .

Wherein, the preset number is set by the server, or the preset number is set by the operator, or is set by other methods.

For another example, a second food feature with a matching degree greater than a preset matching degree is acquired, and determined as the second food feature matching the first food feature.

Wherein, the preset matching degree is set by the server, or the preset matching degree is set by the operator, or is set in other ways.

For example, the preset matching degree is 0.6, and if the second matching degree obtained by the server is greater than 0.6, the second matching degree is determined as the second matching degree matching the first food feature.

In this embodiment of the present application, when the server obtains the matching degree between the first food feature and the second food feature, it needs to determine the relationship between the first food feature and the second food feature according to the first smell feature and the first taste feature respectively. match.

In the embodiment of the present application, the first food feature includes at least one of the first smell feature or the first taste feature, and when the first food feature includes the first smell feature or the first taste feature, it is determined that the first food feature is different from the first taste feature. The matching degree between the first food feature and the second food feature is also different. Below, three cases are used for description:

Case 1: The first food feature includes a first odor feature, and the second food feature includes a second odor feature. The distance between the first odor feature and the second odor feature is acquired, and the ratio between the distance and the reference distance is determined as the matching degree between the first odor feature and the second odor feature.

In this embodiment of the present application, the first odor feature and the second odor feature are represented in the form of vectors. Therefore, the distance between the first odor feature and the second odor feature is obtained, and then the ratio between the distance and the reference distance is obtained. The ratio of is the matching degree between the first odor feature and the second odor feature.

For example, referring to FIG. 5, both the first odor feature and the second odor feature can be represented by the odor column in FIG. 5, and the distance between the first odor feature and the second odor feature is determined according to the odor column, and then the determined distance The ratio to the reference distance is determined as the match between the first odor feature and the second odor feature.

The second case: the first food feature includes the first taste feature, and the second food feature includes the second taste feature. The server determines the first area occupied by the first taste feature in the taste radar map, determines the second area occupied by the second taste feature in the taste radar map, obtains the area of the overlapping area of the first area and the second area, and sets the The ratio between the area and the area of the second region is determined as the match between the first taste feature and the second taste feature.

In this embodiment of the present application, both the first taste feature and the second taste feature are represented by a taste radar map, so the area of the first region occupied by the first taste feature in the taste radar map can be determined, and the first taste feature can also be determined. The area of the second area occupied by the two taste features in the taste radar map, the area of the overlapping area of the first area and the second area indicates the similarity of the first taste feature and the second taste feature, so the area and the second area The ratio between the areas of , is determined as the matching degree between the first taste feature and the second taste feature.

The third case: the server determines the first matching degree between the first smell feature and the second smell feature, determines the second matching degree between the first taste feature and the second taste feature, and compares the first matching degree and the second matching degree between the first matching degree and the second matching degree. The matching degree is weighted to obtain the matching degree between the first food feature and the second food feature.

In this embodiment of the present application, the first food feature includes a first smell feature and a first taste feature, and the second food feature includes a second smell feature and a second taste feature, then the server is determining the first food feature and the second food feature. When the matching degree is between, it is necessary to first determine the first matching degree according to the first smell feature and the second smell feature, then determine the second matching degree according to the first taste feature and the second taste feature, and then compare the first matching degree with the second matching degree. The second matching degree is weighted to obtain the matching degree between the first food feature and the second food feature.

Optionally, performing weighting processing on the first matching degree and the second matching degree includes: obtaining the first product of the first matching degree and the first ratio, then obtaining the second product of the second matching degree and the second ratio, The sum of the first product and the second product is determined as the matching degree between the first food feature and the second food feature.

Wherein, the sum of the first ratio and the second ratio is 1.

405. The server sends the food object corresponding to the second food feature to the first terminal.

406. The first terminal receives the food object sent by the server.

According to the matching degree between the first food feature and the second food feature, the server determines the second food feature matching the first food feature, which also indicates that the food object corresponding to the second food feature is the food object matching the first food feature , sending the food object corresponding to the second food feature to the first terminal, and the first terminal receives the food object sent by the server.

407. The first terminal displays the food object.

After receiving the food object sent by the server, the first terminal can display the food object for the user to select the food object through the first terminal.

408. The first terminal adds the food object to the target list in response to the selection operation on the food object.

Wherein, the target list includes the currently selected food objects. The user can confirm the currently selected food object by viewing the target list, and can also continue to add other food objects in the target list, or can also delete some food objects in the target list.

In the embodiment of the present application, the first terminal displays food objects, and the user can view each food object. If the user triggers a selection operation for any food object, the first terminal responds to the selection operation for the food object and selects the food object. The object is added to the target list.

The first point that needs to be explained is that the embodiments of the present application only take adding food objects to the target list as an example for description. In another embodiment, the first terminal generates a food delivery order in response to a confirmation operation on the food object.

The food delivery order includes food objects, and the food delivery order is used to indicate the food that the delivery food object refers to. After the user selects the food object, if it is determined that the selected food object is correct, a confirmation operation is triggered, and the first terminal responds to the confirmation operation on the food object, and generates a food delivery order including the selected food object. Food delivery orders deliver food.

The second point that needs to be explained is that steps 407-408 in this embodiment of the present application are optional steps, and steps 407-408 may not be executed in another embodiment.

In the method provided by the embodiments of the present application, the food feature includes at least one of an odor feature and a taste feature, the odor feature indicates the smell of the food, and the taste feature indicates the taste of the food, and the food feature is used to represent the smell and Taste not only expands the expression of food, but also can accurately express the smell and taste of food through food features, which improves the accuracy of searching for food while improving the accuracy of describing the smell and taste of food.

The food objects and food features corresponding to the food objects in the food feature databases involved in the embodiments of FIG. 3 and FIG. 4 are reported by other terminals and stored in the food feature database by the server. Next, the process of reporting food objects by other terminals will be described using the embodiments shown in FIG. 6 and FIG. 7 . FIG. 6 is a flowchart of a method for releasing a food object provided by an embodiment of the present application. Referring to FIG. 6 , the method includes:

601, the second terminal obtains the food feature of the current input, the food feature includes at least one of the smell feature or the taste feature of the current food, the smell feature includes the food feature on at least one smell dimension, and the taste feature includes at least one taste dimension. food characteristics.

The odor signature represents the odor of the food product to be released. The taste profile represents the taste of the food product to be published. The first odor feature includes at least one odor dimension, each odor dimension indicating a type of odor, the features on each odor dimension indicating whether the food product to be searched has this type of odor, or whether the food has this type of odor concentration of each type of odor. For example, the smell dimension includes spice smell, flower smell, burnt smell, putrid smell, resin smell, fruit smell and so on. The first taste feature represents the taste of the food to be searched. The first taste feature includes at least one taste dimension, each taste dimension indicates a type of taste, and the feature on each taste dimension indicates whether the food to be searched has this type of taste, or indicates whether the food has this type of taste The concentration of each type of flavor. For example, the taste dimension includes dimensions such as sour, sweet, bitter, salty, and umami.

602. The second terminal sends a food release request to the server, where the food release request carries a food object corresponding to the food and a food feature corresponding to the food object.

In the embodiment of the present application, after acquiring the food characteristics of the current food, the second terminal carries the food object corresponding to the food and the food characteristics corresponding to the food object in the food release request, and sends the food release request to the server, and the server subsequently receives the food release request. After the food release request, the food object and the food feature corresponding to the food object can be stored in the food feature database.

In the method provided by the embodiment of the present application, the food feature includes at least one of an odor feature and a taste feature, the odor feature indicates the smell of the food, and the taste feature indicates the taste of the food, and the food feature is used to represent the smell that is difficult to accurately describe in words and taste, which expands the expression of food, and can accurately express the smell and taste of food through food features. Therefore, publishing the food object corresponding to the food and the food features corresponding to the food object in the server can improve the user’s ability to search for food. accuracy.

FIG. 7 is a flowchart of a method for releasing a food object provided by an embodiment of the present application. Referring to FIG. 7 , the method includes:

701, the second terminal obtains the food feature of the current input, the food feature includes at least one of the smell feature or the taste feature of the current food, the smell feature includes the food feature on at least one smell dimension, and the taste feature includes at least one taste dimension. food characteristics.

The features of the food in this embodiment of the present application are similar to the features of the first food in step 601 in the foregoing embodiment, and details are not described herein again.

It should be noted that the second terminal in the embodiment of the present application may acquire food features in a variety of ways. The following describes the manner in which the second terminal acquires food features:

The first type: the second terminal displays a publishing interface, and the publishing interface includes a variety of food features on each food dimension. Combine the selected food features in the publishing interface to obtain food features.

Wherein, the publishing interface includes multiple food features on each food dimension. After the second terminal displays the publishing interface, the user can view a variety of food features on each food dimension in the publishing interface. The user inputs the food features based on each food dimension, and the second terminal detects the food input by the user. The features are combined to obtain food features.

The second type: the second terminal acquires the characteristics of the food through the sensor.

In the embodiment of the present application, the second terminal includes a sensor. If the user needs to detect the food characteristics of the food to be released, the second terminal is approached to the food to be released, and then the second terminal detects the food to be released through the included sensor to detect the food to be released. Get the food characteristics of the food to be released.

In some embodiments, the sensor includes at least one of an odor sensor or a taste sensor. The smell sensor is used to detect the smell of food. The taste sensor is used to detect the taste of food.

Optionally, if the sensor includes an odor sensor, the second terminal detects the food to be released through the odor sensor to obtain the odor feature, that is, the food feature includes the odor feature.

Optionally, if the sensor includes a taste sensor, the second terminal detects the food to be released through the taste sensor to obtain the taste feature, that is, the food feature includes the taste feature.

702. The second terminal sends a food release request to the server, where the food release request carries a food object corresponding to the food and a food feature corresponding to the food object.

703. The server receives the food release request sent by the second terminal.

704. The server stores the food object and the food feature corresponding to the food object in the food feature database.

In the embodiment of the present application, the server receives the food release request sent by the second terminal, and determines that the second terminal needs to release the food object included in the food release request, so the server stores the food object and the food feature corresponding to the food object in the food feature database.

It should be noted that, the embodiment of the present application is only described by taking the second terminal acquiring the smell feature and the taste feature of the food through the smell sensor and the taste sensor as an example. In another embodiment, after the second terminal sends the food features detected by the sensor to the server, the server also converts the format of the received food features based on the feature conversion model, obtains the converted food features, and stores the food objects. The transformed food feature corresponding to this food object. Moreover, the conversion method in this embodiment of the present application is similar to step 504 in the above-mentioned embodiment of FIG. 5 , and details are not described herein again.

In the method provided by the embodiments of the present application, the food feature includes at least one of an odor feature and a taste feature, the odor feature indicates the smell of the food, and the taste feature indicates the taste of the food, and the food feature is used to represent the smell and Taste, not only expands the expression of food, but also accurately expresses the smell and taste of food through food features. Therefore, after the second terminal stores the food object and the food features corresponding to the food object in the server, it can be used by users according to the food features. Searching for matching foods improves the accuracy of searching for foods with improved descriptions of the smell and taste of the foods.

All the above-mentioned optional technical solutions can be combined arbitrarily to form optional embodiments of the present disclosure, which will not be repeated here.

Combining the above embodiment in FIG. 4 and the embodiment in FIG. 5 , the method shown in FIG. 8 can be used to search for food among the first terminal, the second terminal and the server. First, the smell and taste of food with different tastes are collected to obtain the first smell feature and first taste feature, and then input into the feature conversion model to obtain the digital smell feature and taste feature. In addition, the food will be reviewed manually. The sample smell feature and the sample taste feature are obtained, and then the feature transformation model is trained based on the obtained digital smell feature and taste feature, the sample smell feature and the sample taste feature, and the trained feature transformation model is obtained. The second terminal collects the second food characteristic of the food to be released through the sensor, or inputs the second food characteristic of the food to be released through the release interface, and sends the second food characteristic of the food to be released to the server, and the server sends the food object and the food object to the server. The corresponding food features are stored. The first terminal collects the first food feature of the food to be searched through the sensor, or inputs the first food feature of the food to be searched through the search interface, sends the first food feature to the server, and the server searches according to the first food feature, and obtains the same value as the first food feature. The food object matched with the first food is sent to the first terminal.

The method provided by the present application is applied in the takeaway delivery scenario. If the user needs to find food with a smell and taste that meets his/her own requirements, the method provided in the embodiment of the present application is used to obtain the food features, and a search is performed according to the food features to obtain the same The food object matched with the food feature generates a food delivery order according to the obtained food object.

FIG. 9 is a schematic structural diagram of a food object search device provided by an embodiment of the present application. Referring to Figure 9, the device includes:

The acquisition module 901 is used to acquire the first food feature of the current input, the first food feature includes at least one of the first smell feature or the first taste feature, the first smell feature includes the food feature on at least one smell dimension, the first a taste feature includes food features in at least one taste dimension;

A sending module 902, configured to send a food search request to the server, where the food search request carries the first food feature;

The receiving module 903 is configured to receive the food object sent by the server, where the food object is a food object corresponding to the second food feature matching the first food feature.

In some embodiments, referring to FIG. 10 , the acquisition module 901 includes:

The display unit 9011 is used to display a search interface, and the search interface includes a variety of food features on each food dimension;

The combining unit 9012 is configured to combine the selected food features in the search interface to obtain a first food feature.

In some embodiments, the first food feature includes a first odor feature, and the acquiring module 901 is configured to detect the food to be searched by an odor sensor to obtain the first odor feature.

In some embodiments, the first food feature includes a first taste feature, and the acquiring module 901 is configured to detect the food to be searched by a taste sensor to obtain the first taste feature.

In some embodiments, referring to FIG. 10, the apparatus further includes:

a display module 904 for displaying food objects;

The adding module 905 is configured to add the food object to the target list in response to the selection operation on the food object; or,

The generating module 906 is configured to generate a food delivery order in response to the confirmation operation on the food object, where the food delivery order includes the food object, and the food delivery order is used to indicate the food to which the delivered food object refers.

It should be noted that: when the food object search device provided by the above embodiment performs food search, only the division of the above functional modules is used as an example for illustration. In practical applications, the above functions can be allocated to different functional modules as required. , that is, dividing the internal structure of the computer device into different functional modules to complete all or part of the functions described above. In addition, the embodiments of the food object search device provided by the above embodiments and the food object search method embodiments belong to the same concept, and the specific implementation process thereof is detailed in the method embodiments, which will not be repeated here.

FIG. 11 is a schematic structural diagram of a food object search device provided by an embodiment of the present application. Referring to Figure 11, the device includes:

The receiving module 1101 is configured to receive a food search request sent by a terminal, where the food search request carries a first food feature, the first food feature includes at least one of a first smell feature or a first taste feature, and the first smell feature includes at least one food features on the smell dimension, the first taste feature includes food features on at least one taste dimension;

a search module 1102, configured to search for a second food feature matching the first food feature from the food feature database in response to the food search request;

The sending module 1103 is configured to send the food object corresponding to the second food feature to the terminal.

In some embodiments, referring to FIG. 12 , the apparatus further includes:

The receiving module 1101 is further configured to receive a food release request sent by the second terminal, where the food release request carries the food object and the second food feature corresponding to the food object;

The storage module 1104 is configured to store the food object and the second food feature corresponding to the food object in the food feature database.

In some embodiments, the food search request includes a first smell feature, and the first smell feature is obtained by detecting the food to be searched by the first terminal through the smell sensor; referring to FIG. 12 , the search module 1102 includes:

The conversion unit 11021 is configured to convert the first odor feature based on the feature conversion model in response to the food search request to obtain a third odor feature, where the first odor feature belongs to the first format, and the third odor feature belongs to the second format;

The searching unit 11022 is configured to search for the second odor feature matching the third odor feature from the food feature database.

In some embodiments, referring to FIG. 12 , the apparatus further includes:

The acquiring module 1105 is used for acquiring the first sample odor feature and the second sample odor feature of the sample food, the first sample odor feature belongs to the first format, and the second sample odor feature belongs to the second format;

The training module 1106 is configured to train the feature conversion model based on the first sample odor feature and the second sample odor feature to obtain a trained feature conversion model.

In some embodiments, the food search request includes a first taste feature, and the first taste feature is obtained by detecting the food to be searched by the first terminal through the taste sensor; referring to FIG. 12 , the search module 1102 includes:

The conversion unit 11021 is used to convert the first taste feature based on the feature conversion model in response to the food search request to obtain a third taste feature, the first taste feature belongs to the third format, and the third taste feature belongs to the fourth format;

The searching unit 11022 is configured to search for the second flavor feature matching the third flavor feature from the food feature database.

In some embodiments, referring to FIG. 12 , the apparatus further includes:

The acquisition module 1105 is used to acquire the first sample taste feature and the second sample taste feature of the sample food, the first sample taste feature belongs to the third format, and the second sample taste feature belongs to the fourth format;

The training module 1106 is configured to train the feature conversion model based on the taste feature of the first sample and the taste feature of the second sample to obtain a trained feature conversion model.

In some embodiments, referring to Figure 12, a search module 1102 includes:

Obtaining unit 11023, for obtaining the matching degree between the first food feature and the second food feature;

The selecting unit 11024 is configured to select at least one second food feature with the highest matching degree from the food feature database.

In some embodiments, the first food feature includes a first smell feature, and the second food feature includes a second smell feature; the acquiring unit 11023 is configured to:

obtaining the distance between the first odor feature and the second odor feature;

The ratio between the distance and the reference distance is determined as the matching degree between the first odor feature and the second odor feature.

In some embodiments, the first food feature includes a first taste feature, and the second food feature includes a second taste feature; the acquiring unit 11023 is configured to:

determining the first area occupied by the first taste feature in the taste radar map;

determining the second area occupied by the second taste feature in the taste radar map;

Obtain the area of the overlapping area of the first area and the second area;

The ratio between the area and the area of the second region is determined as the match between the first taste feature and the second taste feature.

In some embodiments, the first food feature includes a first smell feature and a first taste feature, and the second food feature includes a second smell feature and a second taste feature; the obtaining unit 11023 is used for:

determining a first degree of match between the first odor characteristic and the second odor characteristic;

determining a second degree of matching between the first taste feature and the second taste feature;

The first matching degree and the second matching degree are weighted to obtain the matching degree between the first food feature and the second food feature.

It should be noted that: when the food object search device provided by the above embodiment performs food search, only the division of the above functional modules is used as an example for illustration. In practical applications, the above functions can be allocated to different functional modules as required. , that is, dividing the internal structure of the computer device into different functional modules to complete all or part of the functions described above. In addition, the embodiments of the food object search device provided by the above embodiments and the food object search method embodiments belong to the same concept, and the specific implementation process thereof is detailed in the method embodiments, which will not be repeated here.

FIG. 13 is a schematic structural diagram of an apparatus for releasing food objects according to an embodiment of the present application. Referring to Figure 13, the device includes:

The acquisition module 1301 is used to acquire the current input food feature, the food feature includes at least one of the smell feature or the taste feature of the current food, the smell feature includes the food feature on at least one smell dimension, and the taste feature includes at least one taste dimension. food characteristics;

The sending module 1302 is configured to send a food release request to the server, where the food release request carries a food object corresponding to the food and a food feature corresponding to the food object.

In some embodiments, referring to FIG. 14 , the acquisition module 1301 includes:

The display unit 13011 is used to display a publishing interface, and the publishing interface includes a variety of food features on each food dimension;

The combining unit 13012 is configured to combine the selected food features in the publishing interface to obtain the food features.

In some embodiments, the food feature includes an odor feature, and the acquiring module 1301 is configured to detect the food to be released through an odor sensor to obtain the odor feature.

In some embodiments, the food feature includes a taste feature, and the acquiring module 1301 is configured to detect the food to be released through the taste sensor to obtain the taste feature.

It should be noted that: when the food object release apparatus provided in the above embodiments releases food objects, only the division of the above functional modules is used as an example for illustration. In practical applications, the above function distribution can be completed by different functional modules as required. , that is, dividing the internal structure of the computer device into different functional modules to complete all or part of the functions described above. In addition, the embodiments of the apparatus for releasing food objects provided in the above embodiments and the embodiments of the method for releasing food objects belong to the same concept, and the specific implementation process thereof is detailed in the method embodiments, which will not be repeated here.

FIG. 15 is a schematic structural diagram of a terminal provided by an embodiment of the present application. The terminal 1500 may be a portable mobile terminal, such as a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group AudioLayer III, Moving Picture Experts Group AudioLayer III), MP4 (Moving Picture Experts Group Audio Layer IV, Moving Picture Experts Group Audio Layer IV) Compression standard audio layer 4) Player, notebook computer, desktop computer, head-mounted device, or any other intelligent terminal. Terminal 1500 may also be called user equipment, portable terminal, laptop terminal, desktop terminal, and the like by other names.

The terminal 1500 includes: a processor 1501 and a memory 1502 .

The processor 1501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 1501 may use at least one hardware form among DSP (Digital Signal Processing, digital signal processing), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array, programmable logic array) accomplish. The processor 1501 may also include a main processor and a co-processor. The main processor is a processor used to process data in the wake-up state, also called a CPU (Central Processing Unit, central processing unit); A low-power processor for processing data in a standby state. In some embodiments, the processor 1501 may be integrated with a GPU (Graphics Processing Unit, image processor), and the GPU is used for rendering and drawing the content that needs to be displayed on the display screen. In some embodiments, the processor 1501 may further include an AI (Artificial Intelligence, artificial intelligence) processor, where the AI processor is used to process computing operations related to machine learning.

Memory 1502 may include one or more computer-readable storage media, which may be non-transitory. Memory 1502 may also include high-speed random access memory, as well as non-volatile memory, such as one or more disk storage devices, flash storage devices. In some embodiments, a non-transitory computer-readable storage medium in the memory 1502 is used to store at least one instruction for being possessed by the processor 1501 to implement the food object provided by the method embodiments of the present application Search method or food object release method.

In some embodiments, the terminal 1500 may optionally further include: a peripheral device interface 1503 and at least one peripheral device. The processor 1501, the memory 1502 and the peripheral device interface 1503 can be connected through a bus or a signal line. Each peripheral device can be connected to the peripheral device interface 1503 through a bus, a signal line or a circuit board. Specifically, the peripheral devices include: at least one of a radio frequency circuit 1504 , a display screen 1505 , a camera 1506 , an audio circuit 1507 , a positioning component 1508 and a power supply 1509 .

The peripheral device interface 1503 may be used to connect at least one peripheral device related to I/O (Input/Output) to the processor 1501 and the memory 1502 . In some embodiments, processor 1501, memory 1502, and peripherals interface 1503 are integrated on the same chip or circuit board; in some other embodiments, any one of processor 1501, memory 1502, and peripherals interface 1503 or The two can be implemented on a separate chip or circuit board, which is not limited in this embodiment.

The radio frequency circuit 1504 is used for receiving and transmitting RF (Radio Frequency, radio frequency) signals, also called electromagnetic signals. The radio frequency circuit 1504 communicates with communication networks and other communication devices via electromagnetic signals. The radio frequency circuit 1504 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals into electrical signals. Optionally, radio frequency circuitry 1504 includes an antenna system, an RF transceiver, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and the like. The radio frequency circuit 1504 may communicate with other terminals through at least one wireless communication protocol. The wireless communication protocols include, but are not limited to, metropolitan area networks, mobile communication networks of various generations (2G, 3G, 4G and 8G), wireless local area networks and/or WiFi (Wireless Fidelity, wireless fidelity) networks. In some embodiments, the radio frequency circuit 1504 may further include a circuit related to NFC (Near Field Communication, near field communication), which is not limited in this application.

The display screen 1505 is used for displaying UI (User Interface, user interface). The UI can include graphics, text, icons, food items, and any combination thereof. When the display screen 1505 is a touch display screen, the display screen 1505 also has the ability to acquire touch signals on or above the surface of the display screen 1505 . The touch signal can be input to the processor 1501 as a control signal for processing. At this time, the display screen 1505 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, there may be one display screen 1505, which is provided on the front panel of the terminal 1500; in other embodiments, there may be at least two display screens 1505, which are respectively arranged on different surfaces of the terminal 1500 or in a folded design; In still other embodiments, the display screen 1505 may be a flexible display screen disposed on a curved surface or a folding surface of the terminal 1500 . Even, the display screen 1505 can also be set as a non-rectangular irregular figure, that is, a special-shaped screen. The display screen 1505 can be made of materials such as LCD (Liquid Crystal Display, liquid crystal display), OLED (Organic Light-Emitting Diode, organic light emitting diode).

The camera assembly 1506 is used to capture images or food. Optionally, the camera assembly 1506 includes a front camera and a rear camera. Usually, the front camera is arranged on the front panel of the terminal, and the rear camera is arranged on the back of the terminal. In some embodiments, there are at least two rear cameras, which are any one of a main camera, a depth-of-field camera, a wide-angle camera, and a telephoto camera, so as to realize the fusion of the main camera and the depth-of-field camera to realize the background blur function, the main camera It is integrated with the wide-angle camera to achieve panoramic shooting and VR (Virtual Reality, virtual reality) shooting functions or other integrated shooting functions. In some embodiments, the camera assembly 1506 may also include a flash. The flash can be a single color temperature flash or a dual color temperature flash. Dual color temperature flash refers to the combination of warm light flash and cold light flash, which can be used for light compensation under different color temperatures.

Audio circuitry 1507 may include a microphone and speakers. The microphone is used to collect the sound waves of the user and the environment, convert the sound waves into electrical signals, and input them to the processor 1501 for processing, or to the radio frequency circuit 1504 to realize voice communication. For the purpose of stereo collection or noise reduction, there may be multiple microphones, which are respectively disposed in different parts of the terminal 1500 . The microphone may also be an array microphone or an omnidirectional collection microphone. The speaker is used to convert the electrical signal from the processor 1501 or the radio frequency circuit 1504 into sound waves. The loudspeaker can be a traditional thin-film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert electrical signals into sound waves audible to humans, but also convert electrical signals into sound waves inaudible to humans for distance measurement and other purposes. In some embodiments, the audio circuit 1507 may also include a headphone jack.

The positioning component 1508 is used to locate the current geographic location of the terminal 1500 to implement navigation or LBS (Location Based Service, location-based service). The positioning component 1508 may be a positioning component based on the GPS (Global Positioning System, global positioning system) of the United States, the Beidou system of China, the Grenas positioning system of Russia, or the Galileo positioning system of the European Union.

The power supply 1509 is used to power various components in the terminal 1500 . The power source 1509 may be alternating current, direct current, primary batteries, or rechargeable batteries. When the power source 1509 includes a rechargeable battery, the rechargeable battery can support wired charging or wireless charging. The rechargeable battery can also be used to support fast charging technology.

In some embodiments, the terminal 1500 also includes one or more sensors 1510 . The one or more sensors 1510 include, but are not limited to, an acceleration sensor 1511 , a gyro sensor 1512 , a pressure sensor 1513 , a fingerprint sensor 1514 , an optical sensor 1515 , and a proximity sensor 1516 .

The acceleration sensor 1511 can detect the magnitude of acceleration on the three coordinate axes of the coordinate system established by the terminal 1500 . For example, the acceleration sensor 1511 can be used to detect the components of the gravitational acceleration on the three coordinate axes. The processor 1501 can control the touch display screen 1505 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 1511 . The acceleration sensor 1511 can also be used for game or user movement data collection.

The gyroscope sensor 1512 can detect the body direction and rotation angle of the terminal 1500 , and the gyroscope sensor 1512 can cooperate with the acceleration sensor 1511 to collect 3D actions of the user on the terminal 1500 . The processor 1501 can implement the following functions according to the data collected by the gyro sensor 1512 : motion sensing (such as changing the UI according to the user's tilt operation), image stabilization during shooting, game control, and inertial navigation.

The pressure sensor 1513 may be disposed on the side frame of the terminal 1500 and/or the lower layer of the display screen 1505 . When the pressure sensor 1513 is disposed on the side frame of the terminal 1500, the user's holding signal of the terminal 1500 can be detected, and the processor 1501 performs left and right hand identification or shortcut operations according to the holding signal collected by the pressure sensor 1513. When the pressure sensor 1513 is disposed on the lower layer of the display screen 1505, the processor 1501 controls the operability controls on the UI interface according to the user's pressure operation on the display screen 1505. The operability controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

The fingerprint sensor 1514 is used to collect the user's fingerprint, and the processor 1501 identifies the user's identity according to the fingerprint collected by the fingerprint sensor 1514, or the fingerprint sensor 1514 identifies the user's identity according to the collected fingerprint. When the user's identity is identified as a trusted identity, the processor 1501 authorizes the user to perform relevant sensitive operations, including unlocking the screen, viewing encrypted information, downloading software, making payments, and changing settings. The fingerprint sensor 1514 may be provided on the front, back or side of the terminal 1500 . When the terminal 1500 is provided with physical buttons or a manufacturer's logo, the fingerprint sensor 1514 may be integrated with the physical buttons or the manufacturer's logo.

Optical sensor 1515 is used to collect ambient light intensity. In one embodiment, the processor 1501 can control the display brightness of the display screen 1505 according to the ambient light intensity collected by the optical sensor 1515 . Specifically, when the ambient light intensity is high, the display brightness of the display screen 1505 is increased; when the ambient light intensity is low, the display brightness of the display screen 1505 is decreased. In another embodiment, the processor 1501 can also dynamically adjust the shooting parameters of the camera assembly 1506 according to the ambient light intensity collected by the optical sensor 1515 .

A proximity sensor 1516, also called a distance sensor, is usually provided on the front panel of the terminal 1500. The proximity sensor 1516 is used to collect the distance between the user and the front of the terminal 1500 . In one embodiment, when the proximity sensor 1516 detects that the distance between the user and the front of the terminal 1500 gradually decreases, the processor 1501 controls the display screen 1505 to switch from the bright screen state to the off screen state; when the proximity sensor 1516 detects When the distance between the user and the front of the terminal 1500 gradually increases, the processor 1501 controls the display screen 1505 to switch from the screen-off state to the screen-on state.

Those skilled in the art can understand that the structure shown in FIG. 15 does not constitute a limitation on the terminal 1500, and may include more or less components than the one shown, or combine some components, or adopt different component arrangements.

16 is a schematic structural diagram of a server provided by an embodiment of the present application. The server 1600 may vary greatly due to different configurations or performance, and may include one or more processors (Central Processing Units, CPU) 1601 and one or more More than one memory 1602, wherein the memory 1602 stores at least one piece of program code, and the at least one piece of program code is loaded and executed by the processor 1601 to implement the methods provided by the above method embodiments. Of course, the server may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface for input and output, and the server may also include other components for implementing device functions, which will not be described here.

The server 1600 may be used to execute the steps performed by the server in the above-mentioned food object search method or food object release method.

An embodiment of the present application further provides a terminal, the terminal includes a processor and a memory, the memory stores at least one piece of program code, and the at least one piece of program code is loaded and executed by the processor to implement operations such as those performed in the food object search method , or to implement an operation as performed in the release method of the food object.

An embodiment of the present application further provides a server, the server includes a processor and a memory, the memory stores at least one piece of program code, and the at least one piece of program code is loaded and executed by the processor, so as to implement operations such as those performed in the food object search method .

Embodiments of the present application further provide a computer-readable storage medium, where at least one piece of program code is stored in the computer-readable storage medium, and at least one piece of program code is loaded and executed by a processor, so as to implement the method as executed in the food object search method operation, or to implement an operation as performed in the release method of the food object.

The embodiments of the present application also provide a computer program product, the computer program product includes a computer program program, and when the computer program is executed by a processor, realizes operations such as those performed in the method for searching for food objects, or for example, a method for releasing food objects. operations performed in .

Those of ordinary skill in the art can understand that all or part of the steps of implementing the above embodiments can be completed by hardware, or can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The storage medium mentioned may be a read-only memory, a magnetic disk or an optical disk, etc.

The above are only preferred embodiments of the present application, and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the protection of the present application. within the range.

Claims (15)

1. a food object search method, is characterized in that, described method comprises: Obtain the first food feature of the current input, the first food feature includes at least one of a first smell feature or a first taste feature, the first smell feature includes a food feature on at least one smell dimension, the first smell feature a taste feature includes food features in at least one taste dimension; sending a food search request to the server, the food search request carrying the first food feature; A food object sent by the server is received, where the food object is a food object corresponding to a second food feature matching the first food feature. 2. The method according to claim 1, wherein the obtaining the first food feature of the current input comprises: Displaying a search interface, the search interface includes multiple food features on each food dimension; Combining the selected food features in the search interface to obtain the first food feature. 3. The method according to claim 1 or 2, wherein the method further comprises: displaying the food object; adding the food object to a target list in response to a selection operation on the food object; or, In response to the confirmation operation on the food object, a food delivery order is generated, the food delivery order including the food object, the food delivery order indicating delivery of the food item to which the food object refers. 4. A food object search method, characterized in that the method comprises: Receive a food search request sent by the terminal, the food search request carries a first food feature, the first food feature includes at least one of a first smell feature or a first taste feature, and the first smell feature includes at least one food features in the smell dimension, the first taste features include food features in at least one taste dimension; in response to the food search request, searching the food characteristic database for a second food characteristic that matches the first food characteristic; Send the food object corresponding to the second food feature to the terminal. 5. The method according to claim 4, wherein the searching for the second food feature matching the first food feature from the food feature database comprises: obtaining the matching degree between the first food feature and the second food feature; From the food feature database, at least one of the second food features with the highest matching degree is selected. 6. The method according to claim 5, wherein the first food characteristic comprises the first smell characteristic, the second food characteristic comprises a second smell characteristic; the obtaining the first food characteristic The degree of matching with the second food feature, including: obtaining the distance between the first odor feature and the second odor feature; The ratio between the distance and the reference distance is determined as the matching degree between the first smell feature and the second smell feature. 7. The method according to claim 5, wherein the first food feature comprises the first taste feature, the second food feature comprises a second taste feature; the acquiring the first food feature The degree of matching with the second food feature, including: determining the first area occupied by the first taste feature in the taste radar map; determining a second area occupied by the second taste feature in the taste radar map; obtaining the area of the overlapping area of the first area and the second area; The ratio between the area and the area of the second region is determined as the matching degree between the first taste feature and the second taste feature. 8. A method for releasing food objects, characterized in that the method comprises: Obtain the food feature of the current input, the food feature includes at least one of the smell feature or the taste feature of the current food, the smell feature includes the food feature on at least one smell dimension, and the taste feature includes at least one taste dimension. food characteristics; A food release request is sent to the server, where the food release request carries a food object corresponding to the food and a food feature corresponding to the food object. 9. A food object search device, characterized in that the device comprises: The acquisition module is used to acquire the first food feature of the current input, the first food feature includes at least one of the first smell feature or the first taste feature, and the first smell feature includes the food on at least one smell dimension features, the first taste features include food features on at least one taste dimension; a sending module, configured to send a food search request to a server, where the food search request carries the first food feature; A receiving module, configured to receive a food object sent by the server, where the food object is a food object corresponding to a second food feature matching the first food feature. 10. A food object search device, characterized in that the device comprises: The receiving module is configured to receive a food search request sent by the terminal, where the food search request carries a first food feature, and the first food feature includes at least one of a first smell feature or a first taste feature, and the first food feature includes at least one of a first smell feature or a first taste feature. The smell characteristics include food characteristics in at least one smell dimension, and the first taste characteristics include food characteristics in at least one taste dimension; a search module, used to search for a second food feature matching the first food feature from the food feature database in response to the food search request; A sending module, configured to send the food object corresponding to the second food feature to the terminal. 11. A food object release device, characterized in that the device comprises: The acquisition module is used to acquire the current input food feature, the food feature includes at least one of the smell feature or the taste feature of the current food, the smell feature includes the food feature on at least one smell dimension, and the taste feature includes Food characteristics in at least one flavor dimension; The sending module is configured to send a food release request to the server, where the food release request carries a food object corresponding to the food and a food feature corresponding to the food object. 12. A terminal, characterized in that the terminal comprises a processor and a memory, and at least one piece of program code is stored in the memory, and the at least one piece of program code is loaded and executed by the processor to realize the method as claimed in the claims The operation performed in the food object search method according to any one of claims 1 to 3, or the operation performed in the food object publishing method according to claim 8. 13. A server, characterized in that the server comprises a processor and a memory, the memory stores at least one piece of program code, and the at least one piece of program code is loaded and executed by the processor to achieve the method as claimed in the claims 4-7 Operations performed in the food object search method of any one of claims 4-7. 14. A computer-readable storage medium, characterized in that, at least one piece of program code is stored in the computer-readable storage medium, and the at least one piece of program code is loaded and executed by a processor, so as to realize as claimed in claims 1-7 The operation performed in the food object search method according to any claim, or the operation performed in the food object publishing method according to claim 8. 15. A computer program product, comprising a computer program, characterized in that, when the computer program is executed by a processor, the operations performed by the food object searching method according to any one of claims 1 to 7 are implemented, or the computer program is executed in the following manner. The operations performed in the food object publishing method of claim 8 are implemented.

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