CN112991016A - Information pushing method and device, electronic equipment and storage medium - Google Patents

Information pushing method and device, electronic equipment and storage medium Download PDF

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CN112991016A
CN112991016A CN202110322441.3A CN202110322441A CN112991016A CN 112991016 A CN112991016 A CN 112991016A CN 202110322441 A CN202110322441 A CN 202110322441A CN 112991016 A CN112991016 A CN 112991016A
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information
meal
ordering
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王小媞
范畅
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Beijing Sensetime Technology Development Co Ltd
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Beijing Sensetime Technology Development Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0639—Item locations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants

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Abstract

The disclosure provides an information pushing method and device, an electronic device and a storage medium, wherein the method comprises the following steps: obtaining meal characteristic information of a meal ordering object; the meal characteristic information is information representing the meal preference of the ordering object; and generating a recommendation menu matched with the meal feature information based on a preset menu, and pushing the recommendation menu to the meal ordering object.

Description

Information pushing method and device, electronic equipment and storage medium
Technical Field
The present disclosure relates to the field of identity recognition technologies, and in particular, to an information pushing method and apparatus, an electronic device, and a storage medium.
Background
With the continuous development of science and technology, most restaurants are pushed out to order on line, that is, customers can order through an electronic menu displayed on electronic equipment.
At present, menus displayed on electronic equipment are mostly presented in a mode of combining recommended dishes with various types of dishes, customers often need to spend a large amount of time to select the dishes with various kinds, and the dish presenting mode solidified on the menus is difficult to meet the requirements of different customers, so that the ordering efficiency is low, and the intelligence is poor.
Disclosure of Invention
The embodiment of the disclosure is expected to provide an information pushing method and device, electronic equipment and a storage medium.
The technical scheme of the embodiment of the disclosure is realized as follows:
the embodiment of the disclosure provides an information pushing method, which includes:
obtaining meal characteristic information of a meal ordering object; the meal characteristic information is information representing the meal preference of the ordering object;
and generating a recommendation menu matched with the meal feature information based on a preset menu, and pushing the recommendation menu to the ordering object.
In the method, the meal feature information includes at least one of historical behavior information, personal attribute information, meal ordering question-and-answer information and selected dish information.
In the above method, when the meal feature information includes the historical behavior information, the obtaining meal feature information of the ordering object includes:
and acquiring at least one item of historical ordering information, ordering remark information and consumption coupon use information of the ordering object, and determining the historical ordering information, the ordering remark information and the consumption coupon use information as the historical behavior information.
In the above method, when the meal feature information includes the personal attribute information, the obtaining meal feature information of the ordering object includes:
acquiring a personal image of the ordering object;
identifying at least one of age, gender and expression of the ordering object from the personal image, and determining as the personal attribute information.
In the method, the generating of the recommended menu matched with the meal feature information based on the preset menu includes:
selecting dishes matched with the dining characteristic information from the preset menu; generating the recommendation menu according to the selected dishes;
or sorting dishes in the preset dishes according to the meal feature information to obtain the recommendation menu.
In the above method, before the obtaining of the meal feature information of the ordering object, the method further includes:
acquiring a meal group and the number of meal objects included in the meal group; the ordering object comprises one or more meal objects in the meal group;
respectively acquiring character images of the dining objects in the dining group and performing attribute identification to obtain at least one group of attribute information; wherein, a group of attribute information corresponds to a meal object in the meal group;
and determining a recommended dining position from the selectable dining positions based on the number and the at least one group of attribute information, and pushing the recommended dining position.
In the above method, the obtaining of the meal group and the number of the meal objects included in the meal group includes:
acquiring an image to be identified, and identifying mutually related objects from the image to be identified;
determining each identified object as a candidate meal object, and forming at least part of the identified candidate meal objects into the meal group;
determining a number of meal objects included in the meal group.
In the above method, when the meal group includes a plurality of meal objects and the at least one set of attribute information includes a plurality of sets of attribute information, the determining a recommended meal location from the selectable meal locations based on the number and the at least one set of attribute information includes:
taking each meal object in the plurality of meal objects as a target meal object, and determining weight information corresponding to the target meal object according to a group of attribute information corresponding to the target meal object in the plurality of groups of attribute information;
and determining the recommended dining position from the selectable dining positions according to the obtained weight information, the multiple groups of attribute information and the quantity.
In the above method, when the meal group includes a plurality of meal objects and the at least one set of attribute information includes a plurality of sets of attribute information, the determining a recommended meal location from the selectable meal locations based on the number and the at least one set of attribute information includes:
selecting at least one dining object from the plurality of dining objects as a key object according to the plurality of groups of attribute information;
selecting attribute information corresponding to the key object from the multiple groups of attribute information as key attribute information;
and determining the recommended dining position from the selectable dining positions according to the key attribute information and the number.
In the above method, after the pushing the recommendation menu to the ordering object, the method further includes:
acquiring dish feedback information, and determining dish preference information according to the dish feedback information; the dish feedback information comprises dish evaluation information and/or the residual amount of different kinds of dishes after eating;
and associating and storing the dish preference information with at least one object in a meal group comprising the ordering object.
The embodiment of the present disclosure provides an information pushing apparatus, including:
the acquisition module is used for acquiring the dining characteristic information of the ordering object; the meal characteristic information is information representing the meal preference of the ordering object;
and the pushing module is used for generating a recommendation menu matched with the meal feature information based on a preset menu and pushing the recommendation menu to the ordering object.
In the above apparatus, the meal feature information includes at least one of historical behavior information, personal attribute information, meal ordering question-and-answer information, and selected dish information.
In the above apparatus, when the meal feature information includes the historical behavior information, the obtaining module is specifically configured to obtain at least one of historical meal ordering information, meal ordering remark information, and consumption coupon usage information of the meal ordering object, and determine that the at least one of the historical meal ordering information, the meal ordering remark information, and the consumption coupon usage information is the historical behavior information.
In the above apparatus, in a case that the meal feature information includes the personal attribute information, the obtaining module is specifically configured to obtain a personal image of the meal ordering object; identifying at least one of age, gender and expression of the ordering object from the personal image, and determining as the personal attribute information.
In the device, the pushing module is specifically configured to select dishes matched with the meal feature information from the preset menu; generating the recommendation menu according to the selected dishes; or sorting dishes in the preset dishes according to the meal feature information to obtain the recommendation menu.
In the above apparatus, the obtaining module is further configured to obtain a meal group and a number of meal objects included in the meal group; the ordering object comprises one or more meal objects in the meal group; respectively acquiring character images of the dining objects in the dining group and performing attribute identification to obtain at least one group of attribute information; wherein, a group of attribute information corresponds to a meal object in the meal group;
and the pushing module is further used for determining a recommended dining position from the selectable dining positions based on the number and the at least one group of attribute information, and pushing the recommended dining position.
In the above apparatus, the obtaining module is specifically configured to obtain an image to be identified, and identify an object associated with each other from the image to be identified; determining each identified object as a candidate meal object, and forming at least part of the identified candidate meal objects into the meal group; and taking each candidate dining object in the dining group as a dining object, and determining the number of the dining objects in the dining group.
In the above apparatus, when the meal group includes a plurality of meal objects and the at least one set of attribute information includes a plurality of sets of attribute information, the pushing module is specifically configured to, for each of the plurality of meal objects, determine corresponding weight information according to a corresponding set of attribute information in the plurality of sets of attribute information; and determining the recommended dining position from the selectable dining positions according to the weight information, the multiple groups of attribute information and the number.
In the above apparatus, when the meal group includes a plurality of meal objects and the at least one set of attribute information includes a plurality of sets of attribute information, the pushing module is specifically configured to select at least one meal object from the plurality of meal objects as a key object according to the plurality of sets of attribute information; selecting attribute information corresponding to the key object from the multiple groups of attribute information as key attribute information; and determining the recommended dining position from the selectable dining positions according to the key attribute information and the number.
In the device, the obtaining module is further configured to obtain the dish feedback information, and determine the dish preference information according to the dish feedback information; the dish feedback information comprises dish evaluation information and/or the residual amount of different kinds of dishes after eating; and associating and storing the dish preference information with at least one object in a meal group comprising the ordering object.
An embodiment of the present disclosure provides an electronic device, including: a processor, a memory, and a communication bus; wherein the content of the first and second substances,
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute one or more programs stored in the memory to implement the information push method.
The embodiment of the present disclosure provides a computer-readable storage medium, which stores one or more programs that can be executed by one or more processors to implement the above-mentioned information push method.
The disclosure provides an information pushing method and device, an electronic device and a storage medium, wherein the method comprises the following steps: obtaining meal characteristic information of a meal ordering object; the meal characteristic information is information representing the meal preference of the ordering object; and generating a recommendation menu matched with the meal feature information based on a preset menu, and pushing the recommendation menu to the meal ordering object. According to the information pushing method provided by the embodiment of the disclosure, the corresponding recommendation menu can be generated according to the preference of the customer and pushed to the customer for ordering, namely, the solidified dish presenting mode is broken, so that the dynamically changed recommendation menu can meet different requirements of multiple customers, the ordering efficiency is improved, and the ordering intelligence is improved.
Drawings
Fig. 1 is a first schematic flow chart of an information pushing method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart diagram of an information push method according to an embodiment of the present disclosure;
fig. 3 is a third schematic flowchart of an information pushing method according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an information pushing apparatus according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure.
The embodiment of the present disclosure provides an information pushing method, an execution subject of which may be an information pushing apparatus, for example, the information pushing method may be executed by a terminal device or a server or other electronic devices, where the terminal device may be a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like. In some possible implementations, the information pushing method may be implemented by a processor calling computer readable instructions stored in a memory.
The information pushing method provided by the disclosure can be generally used for offline scenes such as restaurants and the like which relate to ordering, ordering and the like of customers. Taking a restaurant as an example, the equipment related to the information pushing method may include a mobile phone/tablet computer for ordering food, a camera deployed at a restaurant door/in a restaurant, and the like, wherein the camera deployed at the restaurant door/in the restaurant can acquire images of people in a coverage area and transmit the images to the mobile phone/tablet computer for ordering food, so that the mobile phone/tablet computer for ordering food can provide a meal position recommendation service, a meal ordering service, and the like based on information contained in the images.
Fig. 1 is a first schematic flow chart of an information pushing method according to an embodiment of the present disclosure. As shown in fig. 1, in the embodiment of the present disclosure, the information pushing method mainly includes the following steps:
s101, obtaining dining characteristic information of a food ordering object; the meal characteristic information is information representing the meal preference of the ordering object.
In the embodiment of the disclosure, the information pushing device may obtain the meal feature information of the ordering object first, where the meal feature information is information representing the meal preference of the ordering object.
It should be noted that, in the embodiments of the present disclosure, the order object may be one or more customers needing to order, a specific order object, and the number of order objects, which are not limited in the embodiments of the present disclosure.
It should be noted that, in the embodiment of the present disclosure, the meal feature information includes at least one of historical behavior information, personal attribute information, order question and answer information, and selected dish information. Of course, the meal feature information may also include other information that may characterize the meal preference of the ordering object, and the embodiment of the present disclosure is not limited.
Specifically, in the embodiment of the present disclosure, in a case that the meal feature information includes history information, the obtaining, by the information pushing apparatus, the meal feature information of the meal ordering object includes: and acquiring at least one item of historical ordering information, ordering remark information and consumption coupon use information of the ordering object, and determining the historical ordering information, the ordering remark information and the consumption coupon use information as historical behavior information.
It can be understood that, in the embodiment of the present disclosure, for a code scanning ordering scenario, the information pushing device may actually be a personal terminal of a customer, such as a mobile phone, and accordingly, an ordering object is a user of the personal terminal, that is, the customer, and in a case where authorization is granted, the personal terminal may obtain at least one of historical behavior information, that is, historical ordering information, ordering remark information, and consumption coupon usage information of the customer, from the customer and a corresponding application program or applet, for example, a takeout platform, an application for purchasing a voucher, and the like, so that when a recommendation menu is subsequently generated for the customer, a preferred taste of the user, for example, sweet and sour and hot, a cuisine, a food material, and the like, may be analyzed based on the historical behavior information as a basis for selecting dishes. Specific historical behavior information embodiments of the present disclosure are not limited.
Specifically, in the embodiment of the present disclosure, in a case that the meal feature information includes the personal attribute information, the obtaining, by the information pushing apparatus, the meal feature information of the ordering object includes: acquiring a personal image of a meal ordering object; at least one of age, sex, and expression of the ordering object is identified from the personal image, and determined as personal attribute information.
It should be noted that, in the embodiment of the present disclosure, in a scene of scanning a code and ordering a meal, the information pushing device may be a personal terminal of a customer, and in a case that the personal terminal acquires a right to invoke the camera, the personal terminal may acquire an image of the customer, that is, a personal image, through the camera. The information pushing device can be ordering equipment under the scene that a plurality of customers share the same ordering equipment to order, namely, the terminal orders, and the ordering equipment can also start a camera to realize personal image acquisition of the customers. The specific personal image acquisition mode may be determined according to actual application scenarios and requirements, and the embodiments of the present disclosure are not limited.
It is understood that, in the embodiment of the present disclosure, after obtaining the personal image, the information pushing device may perform attribute identification on the personal image, so as to obtain at least one of the age, sex, and expression of the customer as the personal attribute information. Specific personal attribute information embodiments of the present disclosure are not limited.
It should be noted that, in the embodiment of the present disclosure, the information pushing device may display "avoid food" and/or "taste preference" options on its interface, so that the ordering object may add corresponding information under the options, where the information is ordering question-answer information. Certainly, the information pushing device may also obtain the ordering question and answer information in other manners, for example, a preset questionnaire is displayed on the display interface for the ordering object to answer, and the answer is used as the ordering question and answer information. The specific ordering question-answer information and the manner of acquiring the ordering question-answer information are not limited in the embodiments of the present disclosure.
It should be noted that, in the embodiment of the present disclosure, the information pushing device may obtain the dishes that have been selected by the meal ordering object in real time, that is, obtain the selected dish information.
S102, generating a recommendation menu matched with the meal feature information based on the preset menu, and pushing the recommendation menu to the ordering object.
In the embodiment of the disclosure, after obtaining the meal feature information of the ordering object, the information pushing device further generates a recommendation menu matched with the meal feature information based on a preset menu, and pushes the recommendation menu to the ordering object.
It should be noted that, in the embodiment of the present disclosure, a preset menu may be stored in the information pushing device, and the preset menu includes various types of dishes that can be selected by the ordering object. The specific preset menu can be set according to actual requirements, and the embodiment of the disclosure is not limited. It should be noted that the dishes in the preset menu may include at least some of the dishes currently available in the restaurant.
Specifically, in the embodiment of the present disclosure, the information pushing device generates a recommendation menu matched with the meal feature information based on a preset menu, including: selecting dishes matched with the dining characteristic information from a preset menu; generating a recommendation menu according to the selected dishes; or sorting the dishes in the preset dishes according to the dining characteristic information to obtain a recommendation menu.
It should be noted that, in the embodiment of the present disclosure, the information pushing device may also generate the recommendation menu in a screening and sorting manner, that is, the information pushing device may select dishes matching the meal feature information from the preset menu, and then sort the selected dishes, so as to obtain the recommendation menu.
It can be understood that, in the embodiment of the present disclosure, the meal feature information of the meal ordering object includes at least one of historical behavior information, personal attribute information, meal ordering question and answer information, and selected dish information, and therefore, the information pushing device may select dishes matching the meal feature information from the preset menu, thereby forming the recommendation menu.
For example, in the embodiment of the present disclosure, in a case that the meal feature information includes historical behavior information, the information pushing device may analyze a taste preferred by the ordering object according to the historical behavior information, so as to select dishes meeting the taste preferred by the ordering object in the preset menu.
For example, in the embodiment of the disclosure, in the case that the meal characteristic information includes personal attribute information, specifically including the age, sex, and expression of the meal ordering object, specifically, the information pushing device may select dishes in a meat category from a preset menu for men, dishes in a dessert and vegetable category from the preset menu for women, dishes in a low sugar and low fat category and easy digestion from the preset menu for elderly people, and dishes in a lovely style and sweets from the preset menu for children.
For example, in the embodiment of the disclosure, in the case that the meal feature information includes meal ordering question-and-answer information, the information pushing device may select a matched dish from a preset menu according to specific information, such as taste preference, included in the meal ordering question-and-answer information.
For example, in the embodiment of the present disclosure, in the case that the meal feature information includes the selected dish information, that is, the information pushing device may know the dish that has been selected by the current meal ordering object, so that a dish that is complementary to or the same type as the dish that has been selected may be selected from the preset menu.
It can be understood that, in the embodiment of the present disclosure, the meal characteristic information represents the meal preference of the meal ordering object, and therefore, the information pushing device may reorder at least some of the dishes in the preset menu according to the meal characteristic information, arrange the dishes in the preset menu that meet the meal characteristic information in the front, and arrange the dishes that do not meet in the preset menu in the back, thereby obtaining the recommended menu.
In the embodiment of the disclosure, after the information pushing device generates the recommendation menu matched with the meal feature information based on the preset menu, the recommendation menu can be pushed to the meal ordering object.
It can be understood that, in the embodiment of the present disclosure, the information pushing device is a recommendation menu generated according to the meal feature information of the ordering object, and the recommendation menu conforms to the preference of the ordering object, so that the recommendation menu is pushed to the ordering object, the ordering object can conveniently select dishes, and the intelligence and efficiency of ordering are improved.
In the embodiment of the disclosure, before obtaining the meal feature information of the meal ordering object, the information pushing device may also recommend a meal position for a meal group including the meal ordering object, and details of the meal position recommendation are described below.
Fig. 2 is a schematic flow chart diagram of an information push method according to an embodiment of the present disclosure. In the embodiment of the disclosure, before the information pushing device obtains the meal feature information of the ordering object, the method further includes the following steps:
s201, obtaining a dining group and the number of dining objects included in the dining group; the ordering object comprises one or more meal objects in the meal group.
In the embodiment of the disclosure, before acquiring the meal characteristics of the meal ordering object, the information pushing device may determine the meal group and the number of meal objects included in the meal group.
It should be noted that, in the embodiment of the present disclosure, the ordering object includes one or more meal objects in the meal group, and a specific ordering object may be any meal object in the meal group.
Specifically, in the embodiment of the present disclosure, the obtaining, by the information pushing apparatus, the meal group and the number of the meal objects included in the meal group includes: acquiring an image to be identified, and identifying mutually related objects from the image to be identified; determining each identified object as a candidate meal object, and forming at least part of the identified candidate meal objects into a meal group; and taking each candidate meal object in the meal group as a meal object, and determining the number of the meal objects in the meal group.
It should be noted that, in the embodiment of the present disclosure, a door of a restaurant may be disposed with a camera, and an information pushing device may obtain a video stream captured by the camera, so as to identify an image included in the video stream as an image to be identified, where the image is used as an image to be identified to identify objects associated with each other, for example, through interaction conditions of people in the image to be identified, distances between people, and the like, the people associated with each other are locked, so as to form a meal group, and further, the number of people included in the meal group, that is, the number of meal objects, is counted. The interaction conditions include, but are not limited to, physical contact, object transfer, and language communication.
It should be noted that, in the embodiment of the present disclosure, for restaurants in shopping malls and shopping malls, cameras are generally deployed in each shop and area of the shopping malls and the shopping malls, the information pushing device may obtain video streams acquired by the cameras, and perform peer identification by using images included in the video streams as images to be identified, so as to form a dining group, and further count the number of dining objects. The method comprises the steps that the same-row person identification means that persons meeting the same-row condition are identified according to images to be identified, the movement tracks of the persons are high in similarity or high in coincidence degree, and therefore the persons are determined to be a group of dining objects.
It should be noted that, in the embodiment of the present disclosure, the restaurant service staff may determine the number of the meal groups and the number of the meal objects by querying the meal staff, and further input the number into the information pushing device for the information pushing device to know, which is not limited in the embodiment of the present disclosure.
S202, obtaining character images of dining objects in a dining group respectively and performing attribute identification to obtain at least one group of attribute information; wherein, a set of attribute information corresponds to a meal object in the meal group.
In the embodiment of the disclosure, the information pushing device may respectively obtain the person images of the dining objects in the dining group and perform attribute identification to obtain at least one set of attribute information when determining the dining group.
It should be noted that, in the embodiment of the present disclosure, the information pushing apparatus may obtain the person image of each meal object collected by the camera, and perform attribute identification respectively to obtain a set of attribute information corresponding to each meal object. The attribute information includes, but is not limited to: age, gender, dressing style, etc.
S203, determining recommended dining positions from the selectable dining positions based on the number and at least one group of attribute information, and pushing the recommended dining positions.
In the embodiment of the disclosure, under the condition that the number of the dining objects included in the dining group and the attribute information corresponding to each dining object in the dining group are obtained, the information pushing device can determine the recommended dining position from the selectable dining positions based on the number and at least one set of attribute information, and push the recommended dining position.
It should be noted that, in the embodiment of the present disclosure, when a meal group includes one meal object, and correspondingly, the information pushing device only obtains one set of attribute information, the information pushing device may directly select, from the selectable meal positions, a position that is suitable for one person and matches the set of attribute information, as the recommended meal position. When the number of the dining objects included in the dining group is multiple and correspondingly, the information pushing device acquires multiple sets of attribute information, the information pushing device needs to comprehensively consider the number and the multiple sets of attribute information.
Specifically, in the embodiment of the present disclosure, when the meal group includes a plurality of meal objects, and at least one set of attribute information includes a plurality of sets of attribute information, the information pushing device determines, based on the at least one set of information of quantity and attribute, a recommended meal position from the selectable meal positions, including: taking each meal object in the plurality of meal objects as a target meal object, and determining weight information corresponding to the target meal object according to a group of attribute information corresponding to the target meal object in the plurality of groups of attribute information; and determining a recommended dining position from the selectable dining positions according to the obtained weight information, the multiple groups of attribute information and the quantity.
It is understood that, in the embodiment of the present disclosure, the information pushing apparatus may assign different weights to the attribute information of different meal objects according to their respective priorities, for example, the attribute information includes age and gender, and the weights from high to low may be: the old, children, women and men, thereby representing the importance degree of the attribute information in the process of determining the recommended dining position.
Specifically, in the embodiment of the present disclosure, when the meal group includes a plurality of meal objects and at least one set of attribute information includes a plurality of sets of attribute information, determining a recommended meal position from the selectable meal positions based on the number and the at least one set of attribute information includes: selecting at least one dining object from the plurality of dining objects as a key object according to the plurality of groups of attribute information; selecting attribute information corresponding to the key object from the plurality of groups of attribute information as key attribute information; and determining a recommended dining position from the selectable dining positions according to the key attribute information and the number.
It is understood that, in the embodiment of the present disclosure, in the case where the meal group includes a plurality of meal objects, the information pushing apparatus may consider only the attribute information of the object in which the degree of importance is high as the basis for determining the recommended meal position. For example, each of the sets of attribute information includes age and gender, and the information pushing apparatus may select a subject with a higher/lower age or a female subject as a key subject from the plurality of meal subjects.
It should be noted that, in the embodiment of the present disclosure, in the process of determining the recommended dining position by combining the attribute information of the dining object, the attribute information may include an age, and if the elderly is older, a relatively quiet dining position may be selected as the recommended dining position, and further, the attribute information may include an clothing style, and if the clothing style belongs to hip-hop wind, a backwindow or a relatively noisy position may be selected as the recommended dining position, and if the clothing style belongs to a conservative, single-element style, a relatively quiet corner position may be selected as the recommended dining position.
It can be understood that, in the embodiment of the disclosure, the information pushing device combines the attribute information of the dining objects according to the number of the dining objects included in the dining group, so as to determine the optimal dining position matching with the dining group for recommendation, and thus, the sitting speed and efficiency of the dining objects can be improved.
In the embodiment of the disclosure, after the information pushing device pushes the recommendation menu to the ordering object, the feedback of the current dining condition can be recorded, so as to provide better dining experience next time. The following is a detailed description of the meal feedback record.
Fig. 3 is a third schematic flow chart of an information pushing method according to an embodiment of the present disclosure. In the embodiment of the disclosure, after the information pushing device pushes the recommendation menu to the ordering object, the information pushing device further includes the following steps:
s301, acquiring dish feedback information, and determining dish preference information according to the dish feedback information; the dish feedback information comprises dish evaluation information and/or the residual amount of different kinds of dishes after meal.
In the embodiment of the disclosure, the information pushing device may obtain the dish feedback information, and determine the dish preference information according to the dish feedback information.
It should be noted that, in the embodiment of the present disclosure, the dish feedback information includes dish evaluation information and/or remaining amounts of different kinds of dishes after a meal. The dish evaluation information may be a question answer acquired by the information pushing device in a form of displaying a relevant question on a display interface, and the remaining amount of different types of dishes may be acquired by the user information pushing device acquiring an image of the remaining dishes on the dining table and identifying the image through a dish identification function, for example, identifying the type of the dishes from the image, distinguishing the dishes based on the color/style of the dinner plate and the like, and further identifying the remaining amount of the corresponding dishes. The specific dish feedback information and the manner of acquiring the dish feedback information are not limited in the embodiments of the present disclosure.
It can be understood that, in the embodiment of the present disclosure, in the case that the information pushing device obtains the dish preference information, the dish preference information may be determined according to the dish feedback information, for example, the dish feedback information includes a remaining amount of the confectionary, if the remaining amount is large, it may be determined that the eating object does not like the confectionary, and if the remaining amount is small, it may be determined that the eating object likes the confectionary, so as to obtain information about the preference degree of the confectionary in the dish preference information.
S302, dish preference information is associated with at least one object in a meal group comprising the ordering object and stored.
In the embodiment of the disclosure, after the information pushing device obtains the dish preference information, the dish preference information can be associated with at least one object in the meal group comprising the ordering object and stored.
It can be understood that, in the embodiment of the present disclosure, the information pushing device associates and stores the dish preference information with at least one object in the meal group including the meal ordering object, so that the information pushing device can be used as a basis for generating the recommendation menu when the associated object has another meal, thereby improving the meal ordering efficiency.
The embodiment of the disclosure provides an information pushing method, which includes: obtaining meal characteristic information of a meal ordering object; the meal characteristic information is information representing the meal preference of the ordering object; and generating a recommendation menu matched with the meal feature information based on a preset menu, and pushing the recommendation menu to the meal ordering object. According to the information pushing method provided by the embodiment of the disclosure, the corresponding recommendation menu can be generated according to the preference of the customer and pushed to the customer for ordering, namely, the solidified dish presenting mode is broken, so that the dynamically changed recommendation menu can meet different requirements of multiple customers, the ordering efficiency is improved, and the ordering intelligence is improved.
The embodiment of the disclosure provides an information pushing device. Fig. 4 is a schematic structural diagram of an information pushing apparatus according to an embodiment of the present disclosure. As shown in fig. 4, in an embodiment of the present disclosure, an information pushing apparatus includes:
an obtaining module 401, configured to obtain meal feature information of a meal ordering object; the meal characteristic information is information representing the meal preference of the ordering object;
and the pushing module 402 is configured to generate a recommendation menu matched with the meal feature information based on a preset menu, and push the recommendation menu to the ordering object.
In an embodiment of the present disclosure, the meal feature information includes at least one of historical behavior information, personal attribute information, meal ordering question and answer information, and selected dish information.
In an embodiment of the present disclosure, in a case that the meal feature information includes the historical behavior information, the obtaining module 401 is specifically configured to obtain at least one of historical ordering information, ordering remark information, and consumption ticket usage information of the ordering object, and determine that the at least one of historical ordering information, ordering remark information, and consumption ticket usage information is the historical behavior information.
In an embodiment of the present disclosure, in a case that the meal feature information includes the personal attribute information, the obtaining module 401 is specifically configured to obtain a personal image of the meal ordering object; identifying at least one of age, gender and expression of the ordering object from the personal image, and determining as the personal attribute information.
In an embodiment of the present disclosure, the pushing module 402 is specifically configured to select dishes matched with the meal feature information from the preset menu; generating the recommendation menu according to the selected dishes; or sorting dishes in the preset dishes according to the meal feature information to obtain the recommendation menu.
In an embodiment of the present disclosure, the obtaining module 401 is further configured to obtain a meal group and a number of meal objects included in the meal group; the ordering object comprises one or more meal objects in the meal group; respectively acquiring character images of the dining objects in the dining group and performing attribute identification to obtain at least one group of attribute information; wherein, a group of attribute information corresponds to a meal object in the meal group;
the pushing module 402 is further configured to determine a recommended dining position from the selectable dining positions based on the number and the at least one group of attribute information, and push the recommended dining position.
In an embodiment of the present disclosure, the obtaining module 401 is specifically configured to obtain an image to be identified, and identify objects associated with each other from the image to be identified; determining each identified object as a candidate meal object, and forming at least part of the identified candidate meal objects into the meal group; and taking each candidate dining object in the dining group as a dining object, and determining the number of the dining objects in the dining group.
In an embodiment of the present disclosure, in a case that the meal group includes a plurality of meal objects, and the at least one set of attribute information includes a plurality of sets of attribute information, the pushing module 402 is specifically configured to, for each meal object in the plurality of meal objects, determine corresponding weight information according to a corresponding set of attribute information in the plurality of sets of attribute information; and determining the recommended dining position from the selectable dining positions according to the weight information, the multiple groups of attribute information and the number.
In an embodiment of the present disclosure, in a case that the meal group includes a plurality of meal objects, and the at least one set of attribute information includes a plurality of sets of attribute information, the pushing module 402 is specifically configured to select at least one meal object from the plurality of meal objects according to the plurality of sets of attribute information, and use the at least one meal object as a key object; selecting attribute information corresponding to the key object from the multiple groups of attribute information as key attribute information; and determining the recommended dining position from the selectable dining positions according to the key attribute information and the number.
In an embodiment of the present disclosure, the obtaining module 401 is further configured to obtain dish feedback information, and determine dish preference information according to the dish feedback information; the dish feedback information comprises dish evaluation information and/or the residual amount of different kinds of dishes after eating; and associating and storing the dish preference information with at least one object in a meal group comprising the ordering object.
The embodiment of the disclosure provides an information pushing device, which is used for acquiring meal characteristic information of a meal ordering object; the meal characteristic information is information representing the meal preference of the ordering object; and generating a recommendation menu matched with the meal feature information based on a preset menu, and pushing the recommendation menu to the meal ordering object. The information pushing device provided by the embodiment of the disclosure can generate the corresponding recommended menu according to the preference of the customer and push the recommended menu to the customer to order the food, namely, the solidified dish presenting mode is broken, so that the dynamically changed recommended menu can meet different requirements of multiple customers, the food ordering efficiency is improved, and the intelligence of food ordering is improved.
The embodiment of the disclosure provides an electronic device. Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 5, in an embodiment of the present disclosure, an electronic apparatus includes: a processor 501, a memory 502, and a communication bus 503; wherein the content of the first and second substances,
the communication bus 503 is used for realizing connection communication between the processor 501 and the memory 502;
the processor 501 is configured to execute one or more programs stored in the memory 502 to implement the information pushing method.
The embodiment of the present disclosure also provides a computer-readable storage medium, which stores one or more programs that can be executed by one or more processors to implement the above information pushing method. The computer-readable storage medium may be a volatile Memory (volatile Memory), such as a Random-Access Memory (RAM); or a non-volatile Memory (non-volatile Memory), such as a Read-Only Memory (ROM), a flash Memory (flash Memory), a Hard Disk (Hard Disk Drive, HDD) or a Solid-State Drive (SSD); or may be a respective device, such as a mobile phone, computer, tablet device, personal digital assistant, etc., that includes one or any combination of the above-mentioned memories.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable signal processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable signal processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable signal processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable signal processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only for the preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure.

Claims (13)

1. An information pushing method, characterized in that the method comprises:
obtaining meal characteristic information of a meal ordering object; the meal characteristic information is information representing the meal preference of the ordering object;
and generating a recommendation menu matched with the meal feature information based on a preset menu, and pushing the recommendation menu to the ordering object.
2. The information pushing method according to claim 1, wherein the meal feature information includes at least one of historical behavior information, personal attribute information, order question and answer information, and selected dish information.
3. The information pushing method according to claim 2, wherein in a case that the meal feature information includes the historical behavior information, the obtaining meal feature information of the ordering object includes:
and acquiring at least one item of historical ordering information, ordering remark information and consumption coupon use information of the ordering object, and determining the historical ordering information, the ordering remark information and the consumption coupon use information as the historical behavior information.
4. The information pushing method according to claim 2 or 3, wherein in a case where the meal feature information includes the personal attribute information, the obtaining meal feature information of the ordering object includes:
acquiring a personal image of the ordering object;
identifying at least one of age, gender and expression of the ordering object from the personal image, and determining as the personal attribute information.
5. The information pushing method according to any one of claims 1 to 4, wherein the generating of the recommendation menu matched with the meal feature information based on the preset menu includes:
selecting dishes matched with the dining characteristic information from the preset menu; generating the recommendation menu according to the selected dishes;
or sorting dishes in the preset dishes according to the meal feature information to obtain the recommendation menu.
6. The information pushing method according to any one of claims 1 to 5, wherein before the obtaining of the meal feature information of the ordering object, the method further comprises:
acquiring a meal group and the number of meal objects included in the meal group; the ordering object comprises one or more meal objects in the meal group;
respectively acquiring character images of the dining objects in the dining group and performing attribute identification to obtain at least one group of attribute information; wherein, a group of attribute information corresponds to a meal object in the meal group;
and determining a recommended dining position from the selectable dining positions based on the number and the at least one group of attribute information, and pushing the recommended dining position.
7. The information pushing method according to claim 6, wherein the obtaining of the meal group and the number of meal objects included in the meal group comprises:
acquiring an image to be identified, and identifying mutually related objects from the image to be identified;
determining each identified object as a candidate meal object, and forming at least part of the identified candidate meal objects into the meal group;
and taking each candidate dining object in the dining group as a dining object, and determining the number of the dining objects in the dining group.
8. The information pushing method according to claim 6 or 7, wherein in a case that the meal group includes a plurality of meal objects and the at least one set of attribute information includes a plurality of sets of attribute information, the determining a recommended meal position from the selectable meal positions based on the number and the at least one set of attribute information comprises:
taking each meal object in the plurality of meal objects as a target meal object, and determining weight information corresponding to the target meal object according to a group of attribute information corresponding to the target meal object in the plurality of groups of attribute information;
and determining the recommended dining position from the selectable dining positions according to the obtained weight information, the multiple groups of attribute information and the quantity.
9. The information pushing method according to claim 6 or 7, wherein in a case that the meal group includes a plurality of meal objects and the at least one set of attribute information includes a plurality of sets of attribute information, the determining a recommended meal position from the selectable meal positions based on the number and the at least one set of attribute information comprises:
selecting at least one dining object from the plurality of dining objects as a key object according to the plurality of groups of attribute information;
selecting attribute information corresponding to the key object from the multiple groups of attribute information as key attribute information;
and determining the recommended dining position from the selectable dining positions according to the key attribute information and the number.
10. The information pushing method according to any one of claims 1 to 9, wherein after the pushing of the recommendation menu to the ordering object, the method further comprises:
acquiring dish feedback information, and determining dish preference information according to the dish feedback information; the dish feedback information comprises dish evaluation information and/or the residual amount of different kinds of dishes after eating;
and associating and storing the dish preference information with at least one object in a meal group comprising the ordering object.
11. An information pushing apparatus, comprising:
the acquisition module is used for acquiring the dining characteristic information of the ordering object; the meal characteristic information is information representing the meal preference of the ordering object;
and the pushing module is used for generating a recommendation menu matched with the meal feature information based on a preset menu and pushing the recommendation menu to the ordering object.
12. An electronic device, comprising: a processor, a memory, and a communication bus; wherein the content of the first and second substances,
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute one or more programs stored in the memory to implement the information pushing method according to any one of claims 1 to 10.
13. A computer-readable storage medium, characterized in that the computer-readable storage medium stores one or more programs, which are executable by one or more processors to implement the information pushing method of any one of claims 1 to 10.
CN202110322441.3A 2021-03-25 2021-03-25 Information pushing method and device, electronic equipment and storage medium Pending CN112991016A (en)

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