CN112116121A - Driving route recommendation method and device, electronic device and storage medium - Google Patents
Driving route recommendation method and device, electronic device and storage medium Download PDFInfo
- Publication number
- CN112116121A CN112116121A CN202010745725.9A CN202010745725A CN112116121A CN 112116121 A CN112116121 A CN 112116121A CN 202010745725 A CN202010745725 A CN 202010745725A CN 112116121 A CN112116121 A CN 112116121A
- Authority
- CN
- China
- Prior art keywords
- shopping
- list
- information
- generating
- menu
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 235000005911 diet Nutrition 0.000 claims description 36
- 230000037213 diet Effects 0.000 claims description 36
- 235000021167 banquet Nutrition 0.000 claims description 23
- 238000012790 confirmation Methods 0.000 claims description 14
- 230000037396 body weight Effects 0.000 claims description 12
- 230000008859 change Effects 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 3
- 230000002093 peripheral effect Effects 0.000 abstract description 3
- 238000004891 communication Methods 0.000 description 10
- 235000013311 vegetables Nutrition 0.000 description 10
- 235000013601 eggs Nutrition 0.000 description 8
- 241000227653 Lycopersicon Species 0.000 description 7
- 235000007688 Lycopersicon esculentum Nutrition 0.000 description 7
- 235000015278 beef Nutrition 0.000 description 6
- 230000033001 locomotion Effects 0.000 description 6
- 244000061456 Solanum tuberosum Species 0.000 description 5
- 235000002595 Solanum tuberosum Nutrition 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 210000000577 adipose tissue Anatomy 0.000 description 4
- 235000013305 food Nutrition 0.000 description 4
- 235000012054 meals Nutrition 0.000 description 4
- 230000036772 blood pressure Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 240000001592 Amaranthus caudatus Species 0.000 description 2
- 235000009328 Amaranthus caudatus Nutrition 0.000 description 2
- 235000011511 Diospyros Nutrition 0.000 description 2
- 241000287828 Gallus gallus Species 0.000 description 2
- 241000270666 Testudines Species 0.000 description 2
- 235000012735 amaranth Nutrition 0.000 description 2
- 239000004178 amaranth Substances 0.000 description 2
- 235000019577 caloric intake Nutrition 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 239000004615 ingredient Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 235000013372 meat Nutrition 0.000 description 2
- 235000016709 nutrition Nutrition 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- RLLPVAHGXHCWKJ-IEBWSBKVSA-N (3-phenoxyphenyl)methyl (1s,3s)-3-(2,2-dichloroethenyl)-2,2-dimethylcyclopropane-1-carboxylate Chemical group CC1(C)[C@H](C=C(Cl)Cl)[C@@H]1C(=O)OCC1=CC=CC(OC=2C=CC=CC=2)=C1 RLLPVAHGXHCWKJ-IEBWSBKVSA-N 0.000 description 1
- 241000238557 Decapoda Species 0.000 description 1
- 241000723267 Diospyros Species 0.000 description 1
- 244000236655 Diospyros kaki Species 0.000 description 1
- 230000000386 athletic effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010411 cooking Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 230000009182 swimming Effects 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Accounting & Taxation (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Navigation (AREA)
Abstract
One or more embodiments of the present specification provide a driving route recommendation method, device, electronic device, and storage medium, including: acquiring shopping planning information, and generating a shopping list according to a shopping comparison list based on the shopping planning information; acquiring an existing item, removing the existing item from a shopping list, and generating a shopping list; and obtaining the goods list of each peripheral shopping point, comparing the shopping list with the goods list, determining the recommended shopping points capable of completing shopping in all the shopping points, and generating a driving route reaching the recommended shopping points. One or more embodiments of the present disclosure may save time for determining to purchase an item by automatically generating a shopping list, and simultaneously automatically generate a driving route of a point of purchase capable of purchasing all items, so that a user may shop for all items at one time, which also saves time for the user to shop, and improves shopping efficiency and user experience.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of vehicle navigation technologies, and in particular, to a driving route recommendation method, device, electronic device, and storage medium.
Background
In modern society, people are increasingly paying attention to quality of life and quality of goods, such as: people pay more and more attention to the quality of diet, the quality of sanitary products and the like, and usually, people can adjust the family menu of the day according to the personal physical condition, the daily motion condition, the personal taste and other factors, and can further adjust the family menu of the day according to special conditions such as guests and the like; then, the people purchase the dishes according to the family menu. The sanitary articles can be changed and adjusted by people according to personal habits, use frequency, article service life and other factors, for example, the toothbrush can be changed for 3 months or 2 months according to personal habits, use rules, scientific use time and the like.
However, shopping lists such as daily menus and personal articles of people are manually determined by family members on the same day, the determined shopping list is not scientific, and when the determined shopping list arrives at shopping places such as supermarkets and the like, some articles are likely to be found to be absent and need to go to other shopping points for purchasing, so that user experience is reduced, time is wasted, and efficiency is low.
Disclosure of Invention
In view of the above, one or more embodiments of the present disclosure are directed to a driving route recommendation method, a driving route recommendation device, an electronic device, and a storage medium.
In view of the above, one or more embodiments of the present specification provide a driving route recommendation method, including:
acquiring shopping planning information, and generating a shopping list according to a shopping comparison list based on the shopping planning information;
acquiring an existing item, removing the existing item from the shopping list, and generating a shopping list;
the method comprises the steps of obtaining a goods list of each shopping point within a set distance of a current position and place, comparing the shopping list with the goods list, determining recommended shopping points capable of completing shopping in all the shopping points, and generating a driving route reaching the recommended shopping points.
In some embodiments, after the generating the driving route to the recommended point of purchase, the method further comprises:
acquiring a selection instruction of a user on the driving route, and determining a final target location according to the selection instruction;
and detecting the position information of the current vehicle, detecting whether a bound intelligent terminal exists in the vehicle or not when the position information enters the final target place range, and if so, sending the shopping list to the intelligent terminal.
In some embodiments, after the generating the driving route to the recommended point of purchase, the method further comprises:
detecting the articles in the vehicle, identifying the articles in the vehicle when the articles in the vehicle change, and judging whether the articles on the shopping list are all in the vehicle;
if not, the missing items which do not appear in the shopping list in the vehicle are obtained, and prompt information is generated according to the missing items.
In some embodiments, before the obtaining the existing item, the method further comprises:
outputting the shopping list to a display device, and acquiring a confirmation instruction or an adjustment instruction input by a user;
and when the user inputs an adjustment instruction, adjusting the shopping list according to the subsequent input instruction of the user.
In some embodiments of the present invention, the substrate is,
the shopping planning information includes: menu planning information;
the shopping comparison table comprises: a diet comparison table;
the generating a shopping list according to a shopping comparison list based on the shopping planning information comprises:
and generating a menu list according to the diet comparison list based on the menu planning information, determining an article list corresponding to each item in the menu list, and summarizing the article list to generate the shopping list.
In some embodiments, the generating a menu list from a diet control list based on the menu planning information comprises:
determining identity information of diners according to the menu planning information, determining corresponding physiological information from the menu planning information according to each identity information, and generating a basic menu list according to the physiological information based on the diet comparison list;
and acquiring adjustment information in the menu planning information, and adjusting the basic menu list according to the adjustment information based on the diet comparison list to generate the menu list.
In some embodiments, the adjusting the base menu list according to the adjustment information based on the diet control list comprises:
determining the type of the adjustment information, calling a corresponding adjustment list in the diet comparison table according to the type, and selecting at least one adjustment item in the adjustment list to adjust the basic menu table.
In some embodiments, the adjustment information includes: guest information;
the determining the type of the adjustment information includes:
acquiring the driving history information of the day, and judging whether the vehicle goes to a passenger transportation place on the day;
if yes, obtaining the vehicle body weight variation of the vehicle in the process of going to and going to the passenger transport place, and if the vehicle body weight variation meets the preset condition, confirming that the guest information is banquet information.
In some embodiments, if the vehicle body weight variation does not satisfy a preset condition, a confirmation prompt is generated, selection information of a user for the confirmation prompt is acquired, and the type of the guest information is determined to be invalid information or banquet information according to the selection information.
Based on the same concept, one or more embodiments of the present specification further provide a driving route recommendation device, including:
the generation module is used for acquiring shopping planning information and generating a shopping list according to a shopping comparison list based on the shopping planning information;
the adjusting module is used for acquiring the existing item, removing the existing item from the shopping list and generating a shopping list;
and the recommending module is used for acquiring the goods list of each shopping point within a set distance of the current position and place, comparing the shopping list with the goods list, determining the recommended shopping points capable of completing shopping in all the shopping points, and generating a driving route reaching the recommended shopping points.
Based on the same concept, one or more embodiments of the present specification further provide an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the method according to any one of the above when executing the program.
Based on the same concept, one or more embodiments of the present specification also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method of any one of the above.
As can be seen from the above description, one or more embodiments of the present specification provide a driving route recommendation method, device, electronic device, and storage medium, including: acquiring shopping planning information, and generating a shopping list according to a shopping comparison list based on the shopping planning information; acquiring an existing item, removing the existing item from a shopping list, and generating a shopping list; and obtaining the goods list of each peripheral shopping point, comparing the shopping list with the goods list, determining the recommended shopping points capable of completing shopping in all the shopping points, and generating a driving route reaching the recommended shopping points. One or more embodiments of the present disclosure may save time for determining to purchase an item by automatically generating a shopping list, and simultaneously automatically generate a driving route of a point of purchase capable of purchasing all items, so that a user may shop for all items at one time, which also saves time for the user to shop, and improves shopping efficiency and user experience.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only one or more embodiments of the present specification, and that other drawings may be obtained by those skilled in the art without inventive effort from these drawings.
Fig. 1 is a schematic flow chart of a driving route recommendation method according to one or more embodiments of the present disclosure;
fig. 2 is a schematic structural diagram of a driving route recommending device according to one or more embodiments of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to one or more embodiments of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the present specification more apparent, the present specification is further described in detail below with reference to the accompanying drawings in combination with specific embodiments.
It should be noted that technical terms or scientific terms used in the embodiments of the present specification should have a general meaning as understood by those having ordinary skill in the art to which the present disclosure belongs, unless otherwise defined. The use of "first," "second," and similar terms in this disclosure is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that a element, article, or method step that precedes the word, and includes the element, article, or method step that follows the word, and equivalents thereof, does not exclude other elements, articles, or method steps. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
As described in the background section, for example, when a family decides dishes for cooking, most of the existing families think together and decide after a business discussion by individuals or family members, the decided dish types are not necessarily matched with each other, and the decided menu is not healthy for the family members. After the item list needing to be purchased is determined, all items cannot be purchased in the shopping place selected by the user at will, so that the user may go to other shopping places, which wastes time and makes the shopping experience very poor. Other articles have similar problems, such as sanitary products, bedding and the like, all have the best service life, and the replacement time limit of the articles is changed according to different personal habits and usage rules, but people cannot necessarily accurately grasp the replacement time, so that the resource waste is caused, and the life quality is influenced.
In combination with the above actual situations, one or more embodiments of the present specification provide a driving route recommendation scheme, which can save time for determining to purchase an item by automatically generating a shopping list, and automatically generate a driving route of a point of purchase capable of purchasing all items at the same time, so that a user can shop for all items at one time, thereby saving time for the user to shop, and improving shopping efficiency and user experience.
Referring to fig. 1, a flow chart of a driving route recommendation method according to an embodiment of the present disclosure is shown, and specifically includes the following steps:
The step aims at generating a shopping list according to the shopping planning information and the shopping comparison list. The external device is a device capable of storing and generating shopping plan information, which is a series of influencing factors or consideration information for generating a shopping list, such as: various information for menu planning, personal physiological information such as height, weight, body fat, blood pressure information, daily exercise amount and the like of an individual, information for determining energy intake and the like of the individual; family member number information, member outgoing information and the like, and the family member number information, the member outgoing information and the like are used for determining information such as the number of normal diners and the like; personal exercise information, what exercise to do, whether the exercise is performed before or after a meal, and the like; personal preference information, which member likes light, which member likes to eat meat, etc.; whether guests need banquet, etc. Various information for planning daily necessities, start-use time of each daily necessity, number of use per day, washing interval, and the like. Then, the information can be acquired through an external device connected with the internet of things and used for acquiring physiological information, the external device can be an intelligent weight and body fat scale, an intelligent height measuring instrument and the like, when each member performs measurement, the identity of the member can be determined through information interaction with an intelligent terminal (such as a mobile phone and the like) carried by the member, and the personal exercise amount can be determined through acquiring the exercise amount recorded in the intelligent terminal corresponding to each member. The number information and the outgoing information of the members can be determined through active input of a user, and can also be determined through information interaction with an intelligent terminal (such as a mobile phone and the like) to determine an outgoing schedule of the members, and the like.
Then, the shopping list is generated by comparing the information with a preset shopping comparison list. The shopping comparison table contains related data tables of scientific use or application of various articles, for example, the diet comparison table records data such as energy values and main nutritional ingredients provided by each food material and dish, and also records similar limiting conditions such as that two persons eat at least one vegetable dish, four persons eat at least two vegetable dishes, crabs and persimmons, turtles and amaranth, and the like, which cannot be presented in a menu, and the menu is generated by calculating the energy demand of all members of a family to carry out proportioning. The life and health comparison table records data such as scientific use duration, use frequency limit and the like of each living article and sanitary article. Then, in the shopping comparison table, some tendency information set by the user himself is described. For example, the selection of the tendencies may be made according to the preferences of each of the family members, such as: when a menu list in a shopping list is generated to buy vegetables, two members prefer to be light, and one member prefers chicken, and the light vegetables tend to be added into chicken vegetables when the menu is generated, and the like. The motion information of each member may also be determined according to the obtained information such as the personal motion schedule of the current day (which may be actively input, or obtained by reading information in the intelligent terminal, etc.), and the menu may be adjusted, for example: the food types required before and after running are different, the food requirements before and after yoga, before and after swimming and the like are different, and the menu can be adjusted according to the type of the movement required by the member and whether the member does the movement before meals or does the movement after meals. When the hygienic product list is generated for purchasing the hygienic products, personal preference or habit data such as the use frequency (such as the daily use frequency of the toothbrush) set by a user, a personal preference brand and the like are further considered; or the consumption of sanitary products such as shower gel and the like can be increased if the user has a fitness plan within one month, so that more living products such as shower gel and the like can be purchased by the user. Then, if the determined item is produced by combining a plurality of items, the main components constituting the composition are determined, and for example, when a menu list is generated, it is determined which of the finally required crops is determined according to the specific dish (for example, if the dish is a tomato egg, then the crops to be purchased are a tomato and an egg).
The shopping list can be generated according to the simple physiological information of the family members or the information such as the use rule of the articles, but the shopping list can be adjusted according to some adjusting factors to generate a more appropriate shopping list.
And 102, acquiring the existing item, removing the existing item from the shopping list, and generating a shopping list.
The step aims to remove the existing articles in the shopping list and generate a final shopping list. The shopping list is the list of the items to be purchased determined in the previous step. Then, in order to avoid repeated purchases, existing item items fed back by an intelligent refrigerator, an intelligent locker and the like connected through the internet of things are obtained, and the existing item items are removed from the item list, so that a final shopping list is generated. For example: and the determined menu comprises two dishes of potato beef and tomato eggs, the shopping lists corresponding to the two dishes are potato, beef, tomato and eggs, then the existing articles in the refrigerator fed back by the intelligent refrigerator and the like are obtained, the existing beef and eggs in the refrigerator are determined, the beef items and the egg items are removed from the article list, and the final shopping list only comprises the potato items and the tomato items.
103, obtaining a goods list of each shopping point within a set distance of the current position and place, comparing the shopping list with the goods list, determining a recommended shopping point capable of completing shopping in all the shopping points, and generating a driving route reaching the recommended shopping point.
The step aims to determine the shopping points which can purchase all items in the shopping list and generate the driving routes to the shopping points. The goods list is all the goods lists which can be bought at each shopping point currently, the shopping points can be shopping places such as supermarkets and vegetable fields, the goods list can be determined through the goods lists listed on the internet or directly provided by the supermarkets and the vegetable fields, and can be directly obtained through the internet or transferred and obtained through other intelligent terminals, and the like.
And then, comparing the shopping list with the goods list to judge which nearby shopping points can buy all the goods in the shopping list, wherein the shopping points which can buy all the goods are recommended shopping points. Finally, generating routes to the recommended shopping points, wherein a plurality of routes to different shopping points can be generated for the user to select; a plurality of routes reaching one closest shopping point can be generated for the user to select; or may generate only one route to a closest point of purchase, etc.
The driving route recommendation method provided by applying one or more embodiments of the specification comprises the following steps: acquiring shopping planning information, and generating a shopping list according to a shopping comparison list based on the shopping planning information; acquiring an existing item, removing the existing item from a shopping list, and generating a shopping list; and obtaining the goods list of each peripheral shopping point, comparing the shopping list with the goods list, determining the recommended shopping points capable of completing shopping in all the shopping points, and generating a driving route reaching the recommended shopping points. One or more embodiments of the present disclosure may save time for determining to purchase an item by automatically generating a shopping list, and simultaneously automatically generate a driving route of a point of purchase capable of purchasing all items, so that a user may shop for all items at one time, which also saves time for the user to shop, and improves shopping efficiency and user experience.
It should be noted that the method of one or more embodiments of the present disclosure may be performed by a single device, such as a computer or server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may perform only one or more steps of the method of one or more embodiments of the present disclosure, and the devices may interact with each other to complete the method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
In an alternative embodiment of the present description, it is desirable to make it easier for a user to shop when the vehicle arrives at a location. After the generating of the driving route to the recommended point of purchase, the method further comprises:
acquiring a selection instruction of a user on the driving route, and determining a final target location according to the selection instruction;
and detecting the position information of the current vehicle, detecting whether a bound intelligent terminal exists in the vehicle or not when the position information enters the final target place range, and if so, sending the shopping list to the intelligent terminal.
The generated driving route is not necessarily only one, so that the user may be required to select the driving route. After the final target location is determined, normal navigation operation is carried out, the specific position of the current vehicle is detected, when the target location is reached, the shopping list determined before is sent to the intelligent terminal bound in the vehicle, the intelligent terminal (such as a mobile phone and the like) bound in the vehicle is generally the owner or a family member of the owner, and then the intelligent terminal is sent, a holder of the intelligent terminal can visually see the list of the articles to be purchased, so that the purchasing process is facilitated.
In an alternative embodiment of the present specification, in order to check whether all items to be purchased are purchased after the user's purchase is completed. After the generating of the driving route to the recommended point of purchase, the method further comprises:
detecting the articles in the vehicle, identifying the articles in the vehicle when the articles in the vehicle change, and judging whether the articles on the shopping list are all in the vehicle;
if not, the missing items which do not appear in the shopping list in the vehicle are obtained, and prompt information is generated according to the missing items.
The identification mode may be identification of images after photographing or photography, or spectrum identification such as infrared. The prompt message may be a voice message played in the vehicle, or a text message sent to the intelligent terminal. After the driving route is generated, a customer generally goes to a target place according to the driving route, and purchases articles after the customer arrives, but the articles in the general vehicle are not changed in the process, and the articles in the vehicle are only changed after the customer purchases the articles and places the purchased articles in the vehicle, so that whether the customer purchases the articles can be determined by detecting the change of the articles in the vehicle.
In an alternative embodiment of the present specification, the menu list is flexibly adjusted for the convenience of the user. Before the acquiring of the existing item, the method further includes:
outputting the shopping list to a display device, and acquiring a confirmation instruction or an adjustment instruction input by a user;
and when the user inputs an adjustment instruction, adjusting the shopping list according to the subsequent input instruction of the user.
The display device can be a display screen arranged in the vehicle or can be sent to a corresponding intelligent terminal and the like for displaying, generating buttons for confirmation and adjustment, then acquiring the selection of the user on the buttons, and when the user selects the adjustment, replacing the items in the shopping list according to the subsequent touch control, dragging and other operations of the user.
In an alternative embodiment of the present description, the present scheme is specifically adapted accordingly for a specific vegetable buying process. The shopping planning information includes: menu planning information; the shopping comparison table comprises: a diet comparison table; the generating a shopping list according to a shopping comparison list based on the shopping planning information comprises: and generating a menu list according to the diet comparison list based on the menu planning information, determining an article list corresponding to each item in the menu list, and summarizing the article list to generate the shopping list.
The menu planning information is various information used for menu planning, personal physiological information such as height, weight, body fat, blood pressure information, daily exercise amount and the like of an individual, and information such as energy intake of the individual is determined; family member number information, member outgoing information and the like, and the family member number information, the member outgoing information and the like are used for determining information such as the number of normal diners and the like; personal exercise information, what exercise to do, whether the exercise is performed before or after a meal, and the like; personal preference information, which member likes light, which member likes to eat meat, etc.; whether guests need banquet, etc. The diet comparison table records data such as energy values and main nutritional ingredients provided by each food material and dish, and records similar limiting conditions such as that two persons eat at least one vegetable dish, four persons eat at least two vegetable dishes, crab and persimmon, turtle and amaranth and the like, which cannot appear in a menu, and the menu is generated by calculating the energy demand of all family members to carry out proportioning. Then, the item list corresponding to the menu is determined, for example, the determined menu comprises two dishes of potato beef and tomato eggs, and the corresponding shopping list comprises potato, beef, tomato, eggs and the like. And then summarizing to generate a final shopping list.
In an alternative embodiment of the present specification, the menu list is generated more accurately, and the generated menu list is more closely matched to the needs of the family members. The generating a menu list from a diet comparison list based on the menu planning information includes:
determining identity information of diners according to the menu planning information, determining corresponding physiological information from the menu planning information according to each identity information, and generating a basic menu list according to the physiological information based on the diet comparison list;
and acquiring adjustment information in the menu planning information, and adjusting the basic menu list according to the adjustment information based on the diet comparison list to generate the menu list.
The identity information is information capable of reflecting the identity of the diner, and can be a name, an identity card number and the like, and can uniquely point to some person. The physiological information is information reflecting physiological health or physiological index of each diner, for example: the height, age, weight, body fat, blood pressure information, daily exercise amount and the like of each person can find the corresponding standard energy demand in the existing diet comparison table through the physiological information, and the required energy is different for each person and each state. Modern science can calculate the energy value range of each person normally required in the day according to sex, age, height, weight and the like. And then the energy requirements of each diner are summed to obtain a total energy requirement value, and a basic menu table is generated according to the standard energy value of each dish recorded in the diet comparison table, wherein the energy supply of the basic menu table meets the requirements of the comprehensive diners. Meanwhile, the basic menu list can limit the number of dishes according to the number of diners, such as: two persons generate a basic menu list of two to three dishes, four persons generate a basic menu list of four to six dishes, and so on.
And then, acquiring adjustment information, wherein the adjustment information is information which can influence the type of dishes, such as member preference, whether to exercise, whether to come from guests and the like. And adjusting the basic menu list, for example, the adjustment information is that the personal preference is light, at least one dish in the basic menu list is replaced by a dish with the same energy value or the light taste with the similar energy value, or the adjustment information is that before running, at least one item is replaced or adjusted according to a scientific catering list set in the diet comparison list. The regulation rule can be random regulation, or equal energy value or similar energy value can be replaced according to different energy values of each dish, and one dish can be replaced by two dishes at the same time.
In an alternative embodiment of the present specification, the base menu list is adjusted for more clarity. The adjusting the basic menu list according to the adjusting information based on the diet comparison list comprises:
determining the type of the adjustment information, calling a corresponding adjustment list in the diet comparison table according to the type, and selecting at least one adjustment item in the adjustment list to adjust the basic menu table.
The adjustment information may be classified according to its type, for example: personal preference information, personal athletic schedule information, banquet guest information, and the like. Each kind of information corresponds to different adjustment lists, namely adjustment lists, adjustment modes aiming at the information are recorded in the diet comparison list, for example, after the information of guests needing to be banned is obtained, the adjustment list directly called in the diet comparison list is a picket list or a banquet list, and the basic menu list is replaced by one to equal number of adjustment items in the banquet list. The regulation rule can be random regulation, or equal energy value or similar energy value can be replaced according to different energy values of each dish, and one dish can be replaced by two dishes at the same time.
In an alternative embodiment of the present description, the guest plan is adapted for the family feast on the current day. The adjustment information includes: guest information;
the determining the type of the adjustment information includes:
acquiring the driving history information of the day, and judging whether the vehicle goes to a passenger transportation place on the day;
if yes, obtaining the vehicle body weight variation of the vehicle in the process of going to and going to the passenger transport place, and if the vehicle body weight variation meets the preset condition, confirming that the guest information is banquet information.
The guest information is generated according to the banquet plan information fed back from the external device or the banquet plan actively input by the user. The system can determine whether the party is present by reading the banquet plan information of the external device or whether the party is present by the user, so as to generate the guest information. After receiving the guest information, in order to judge whether a real guest arrives at home through a vehicle, so as to read the driving history of the current day, it is determined whether there is a driving record arriving at a passenger transport place such as a bus stop, a train station, an airport, a dock, etc. If there are any, the weight change of the vehicles arriving at the passenger transport place and leaving the passenger transport place at the moment is obtained, and if the weight change of the vehicles of a guest is received, the weight change of the vehicles of the guest generally slightly exceeds the normal weight of people (the weight of people and luggage), and because the weight of the general people is far larger than the weight of the luggage, for example: assuming that the weight of a person is 60kg and the weight of luggage is 10kg, the weight of luggage added by one person is 70kg, the weight of luggage added by two persons is 140kg, and the change of the weight of luggage is limited so that the change is not too large, the number of persons carried in a vehicle has an upper limit, and thus the increase of several persons in the vehicle can be determined by measuring the weight. When the weight change of the vehicle exceeds a preset threshold value, the guest can be considered to be received, and therefore the guest information can be converted into banquet information. The banquet information is information that reflects that the guest needs to perform the banquet.
In an optional embodiment of the present description, if the vehicle body weight variation does not satisfy the preset condition, a confirmation prompt is generated, selection information of a user for the confirmation prompt is obtained, and the type of the guest information is determined to be invalid information or banquet information according to the selection information.
And generating a consultation confirmation prompt which can be voice information or text information under the condition that the condition is not met, and inquiring the accuracy and the authenticity of the guest information to the user. If the user confirms that the guest information is real, the guest information is converted into banquet information, and if the user does not confirm or selects that the guest information is not real, the guest information is converted into invalid information. In a specific application scenario, when the detection is failed, the client is asked through voice to judge whether the real guests need banquet at present, if the client chooses yes, the client directly considers that the banquet is needed, and if the client chooses no, the client considers that the banquet is not needed.
Based on the same concept, one or more embodiments of the present specification further provide a driving route recommending apparatus, as shown in fig. 2, including:
the generation module 201 acquires shopping planning information and generates a shopping list according to a shopping comparison list based on the shopping planning information;
the adjusting module 202 is used for acquiring the existing item, removing the existing item from the shopping list and generating a shopping list;
the recommending module 203 acquires the goods list of each shopping point within a set distance of the current position and place, compares the shopping list with the goods list, determines recommended shopping points capable of completing shopping in all the shopping points, and generates a driving route reaching the recommended shopping points.
As an optional embodiment, after the recommending module 203 generates the driving route to the recommended purchase point, the method further includes:
acquiring a selection instruction of a user on the driving route, and determining a final target location according to the selection instruction;
and detecting the position information of the current vehicle, detecting whether a bound intelligent terminal exists in the vehicle or not when the position information enters the final target place range, and if so, sending the shopping list to the intelligent terminal.
As an optional embodiment, after the recommending module 203 generates the driving route to the recommended purchase point, the method further includes:
detecting the articles in the vehicle, identifying the articles in the vehicle when the articles in the vehicle change, and judging whether the articles on the shopping list are all in the vehicle;
if not, the missing items which do not appear in the shopping list in the vehicle are obtained, and prompt information is generated according to the missing items.
As an optional embodiment, before the adjusting module 202 acquires the existing item, the method further includes:
outputting the shopping list to a display device, and acquiring a confirmation instruction or an adjustment instruction input by a user;
and when the user inputs an adjustment instruction, adjusting the shopping list according to the subsequent input instruction of the user.
As an alternative embodiment of the method according to the invention,
the shopping planning information includes: menu planning information;
the shopping comparison table comprises: a diet comparison table;
the generating module 201 generates a shopping list according to a shopping comparison list based on the shopping planning information, including:
and generating a menu list according to the diet comparison list based on the menu planning information, determining an article list corresponding to each item in the menu list, and summarizing the article list to generate the shopping list.
As an optional embodiment, the generating module 201 generates a menu list according to the diet comparison list based on the menu planning information, including:
determining identity information of diners according to the menu planning information, determining corresponding physiological information from the menu planning information according to each identity information, and generating a basic menu list according to the physiological information based on the diet comparison list;
and acquiring adjustment information in the menu planning information, and adjusting the basic menu list according to the adjustment information based on the diet comparison list to generate the menu list.
As an optional embodiment, the generating module 201 adjusts the basic menu list according to the adjustment information based on the diet comparison list, including:
determining the type of the adjustment information, calling a corresponding adjustment list in the diet comparison table according to the type, and selecting at least one adjustment item in the adjustment list to adjust the basic menu table.
As an optional embodiment, the adjustment information includes: guest information;
the generation module 201 determines the type of the adjustment information, including:
acquiring the driving history information of the day, and judging whether the vehicle goes to a passenger transportation place on the day;
if yes, obtaining the vehicle body weight variation of the vehicle in the process of going to and going to the passenger transport place, and if the vehicle body weight variation meets the preset condition, confirming that the guest information is banquet information.
As an optional embodiment, if the vehicle body weight variation does not satisfy the preset condition, a confirmation prompt is generated, selection information of a user for the confirmation prompt is acquired, and the type of the guest information is determined to be invalid information or banquet information according to the selection information.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functionality of the modules may be implemented in the same one or more software and/or hardware implementations in implementing one or more embodiments of the present description.
The device of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
One or more embodiments of the present specification further provide an electronic device based on the same inventive concept. The electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to implement the driving route recommendation method according to any one of the above embodiments.
Fig. 3 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 310, a memory 320, an input/output interface 330, a communication interface 340, and a bus 350. Wherein the processor 310, memory 320, input/output interface 330, and communication interface 340 are communicatively coupled to each other within the device via bus 350.
The processor 310 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present specification.
The Memory 320 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 320 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 320 and called to be executed by the processor 310.
The input/output interface 330 is used for connecting an input/output module to realize information input and output. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 340 is used for connecting a communication module (not shown in the figure) to implement communication interaction between the present device and other devices. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
It should be noted that although the above-mentioned device only shows the processor 310, the memory 320, the input/output interface 330, the communication interface 340 and the bus 350, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
Based on the same inventive concept, one or more embodiments of the present specification further provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute a driving route recommendation method according to any one of the embodiments described above.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the spirit of the present disclosure, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present description as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures, for simplicity of illustration and discussion, and so as not to obscure one or more embodiments of the disclosure. Further, devices may be shown in block diagram form in order to avoid obscuring the understanding of one or more embodiments of the present description, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that one or more embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
It is intended that the one or more embodiments of the present specification embrace all such alternatives, modifications and variations as fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of one or more embodiments of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (12)
1. A driving route recommendation method is characterized by comprising the following steps:
acquiring shopping planning information, and generating a shopping list according to a shopping comparison list based on the shopping planning information;
acquiring an existing item, removing the existing item from the shopping list, and generating a shopping list;
the method comprises the steps of obtaining a goods list of each shopping point within a set distance of a current position and place, comparing the shopping list with the goods list, determining recommended shopping points capable of completing shopping in all the shopping points, and generating a driving route reaching the recommended shopping points.
2. The method of claim 1, wherein after generating the driving route to the recommended point of purchase, further comprising:
acquiring a selection instruction of a user on the driving route, and determining a final target location according to the selection instruction;
and detecting the position information of the current vehicle, detecting whether a bound intelligent terminal exists in the vehicle or not when the position information enters the final target place range, and if so, sending the shopping list to the intelligent terminal.
3. The method of claim 1, wherein after generating the driving route to the recommended point of purchase, further comprising:
detecting the articles in the vehicle, identifying the articles in the vehicle when the articles in the vehicle change, and judging whether the articles on the shopping list are all in the vehicle;
if not, the missing items which do not appear in the shopping list in the vehicle are obtained, and prompt information is generated according to the missing items.
4. The method of claim 1, wherein prior to obtaining the existing item, further comprising:
outputting the shopping list to a display device, and acquiring a confirmation instruction or an adjustment instruction input by a user;
and when the user inputs an adjustment instruction, adjusting the shopping list according to the subsequent input instruction of the user.
5. The method of claim 1,
the shopping planning information includes: menu planning information;
the shopping comparison table comprises: a diet comparison table;
the generating a shopping list according to a shopping comparison list based on the shopping planning information comprises:
and generating a menu list according to the diet comparison list based on the menu planning information, determining an article list corresponding to each item in the menu list, and summarizing the article list to generate the shopping list.
6. The method of claim 5, wherein generating a menu list from a diet control list based on the menu planning information comprises:
determining identity information of diners according to the menu planning information, determining corresponding physiological information from the menu planning information according to each identity information, and generating a basic menu list according to the physiological information based on the diet comparison list;
and acquiring adjustment information in the menu planning information, and adjusting the basic menu list according to the adjustment information based on the diet comparison list to generate the menu list.
7. The method of claim 6, wherein said adjusting said base menu list based on said diet control list according to said adjustment information comprises:
determining the type of the adjustment information, calling a corresponding adjustment list in the diet comparison table according to the type, and selecting at least one adjustment item in the adjustment list to adjust the basic menu table.
8. The method of claim 7, wherein the adjustment information comprises: guest information;
the determining the type of the adjustment information includes:
acquiring the driving history information of the day, and judging whether the vehicle goes to a passenger transportation place on the day;
if yes, obtaining the vehicle body weight variation of the vehicle in the process of going to and going to the passenger transport place, and if the vehicle body weight variation meets the preset condition, confirming that the guest information is banquet information.
9. The method of claim 8, wherein if the vehicle body weight variation does not meet a preset condition, a confirmation prompt is generated, selection information of a user for the confirmation prompt is obtained, and the type of the guest information is determined to be invalid information or banquet information according to the selection information.
10. A driving route recommendation apparatus characterized by comprising:
the generation module is used for acquiring shopping planning information and generating a shopping list according to a shopping comparison list based on the shopping planning information;
the adjusting module is used for acquiring the existing item, removing the existing item from the shopping list and generating a shopping list;
and the recommending module is used for acquiring the goods list of each shopping point within a set distance of the current position and place, comparing the shopping list with the goods list, determining the recommended shopping points capable of completing shopping in all the shopping points, and generating a driving route reaching the recommended shopping points.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 9 when executing the program.
12. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010745725.9A CN112116121A (en) | 2020-07-29 | 2020-07-29 | Driving route recommendation method and device, electronic device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010745725.9A CN112116121A (en) | 2020-07-29 | 2020-07-29 | Driving route recommendation method and device, electronic device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112116121A true CN112116121A (en) | 2020-12-22 |
Family
ID=73799397
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010745725.9A Pending CN112116121A (en) | 2020-07-29 | 2020-07-29 | Driving route recommendation method and device, electronic device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112116121A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105678437A (en) * | 2014-11-20 | 2016-06-15 | 东莞宇龙通信科技有限公司 | Procurement method and procurement device |
| CN106910109A (en) * | 2017-02-08 | 2017-06-30 | 惠州Tcl移动通信有限公司 | It is a kind of to prevent user from leaking method, system and the mobile terminal for buying article |
| CN107610379A (en) * | 2017-09-11 | 2018-01-19 | 江苏弘冠智能科技有限公司 | One kind shopping recognition methods and shopping cart identification device |
| CN107730035A (en) * | 2017-09-30 | 2018-02-23 | 京东方科技集团股份有限公司 | Smart shopper method and system, intelligent shopping trolley |
| CN107978357A (en) * | 2017-12-28 | 2018-05-01 | 华北理工大学 | Family's nutritious recipe automatic analysis system |
| CN110083112A (en) * | 2019-05-28 | 2019-08-02 | 广州小鹏汽车科技有限公司 | Smart machine long-range control method, device, storage medium and terminal |
| CN110135957A (en) * | 2019-05-20 | 2019-08-16 | 梁志鹏 | A kind of vegetable recommended method, device and the storage medium of intelligent restaurant healthy diet |
| CN111127083A (en) * | 2019-12-11 | 2020-05-08 | 珠海格力电器股份有限公司 | Food material purchasing method, device and system and electronic terminal |
-
2020
- 2020-07-29 CN CN202010745725.9A patent/CN112116121A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105678437A (en) * | 2014-11-20 | 2016-06-15 | 东莞宇龙通信科技有限公司 | Procurement method and procurement device |
| CN106910109A (en) * | 2017-02-08 | 2017-06-30 | 惠州Tcl移动通信有限公司 | It is a kind of to prevent user from leaking method, system and the mobile terminal for buying article |
| CN107610379A (en) * | 2017-09-11 | 2018-01-19 | 江苏弘冠智能科技有限公司 | One kind shopping recognition methods and shopping cart identification device |
| CN107730035A (en) * | 2017-09-30 | 2018-02-23 | 京东方科技集团股份有限公司 | Smart shopper method and system, intelligent shopping trolley |
| CN107978357A (en) * | 2017-12-28 | 2018-05-01 | 华北理工大学 | Family's nutritious recipe automatic analysis system |
| CN110135957A (en) * | 2019-05-20 | 2019-08-16 | 梁志鹏 | A kind of vegetable recommended method, device and the storage medium of intelligent restaurant healthy diet |
| CN110083112A (en) * | 2019-05-28 | 2019-08-02 | 广州小鹏汽车科技有限公司 | Smart machine long-range control method, device, storage medium and terminal |
| CN111127083A (en) * | 2019-12-11 | 2020-05-08 | 珠海格力电器股份有限公司 | Food material purchasing method, device and system and electronic terminal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9965798B1 (en) | Self-shopping refrigerator | |
| Cummins et al. | A systematic study of an urban foodscape: the price and availability of food in greater Glasgow | |
| US20180060943A1 (en) | Apparatus and method for management of a hybrid store | |
| CN108648059B (en) | Order recommendation method and device | |
| US10347152B2 (en) | Indirect bio-feedback health and fitness management system | |
| US20140324899A1 (en) | Enhanced food information management and presentation on a selective dynamic basis and associated services | |
| JP2013250698A (en) | Purchase support device, purchase support method and purchase support system | |
| JP2013250699A (en) | Menu support device, and menu support method | |
| CN108230075A (en) | The treating method and apparatus of food materials information | |
| CN108573740B (en) | Information presentation system and control method for information presentation system | |
| JP2018049393A (en) | Health care device, health care system, and health care method | |
| US20130262995A1 (en) | Systems and Methods for Menu and Shopping List Creation | |
| JP6903523B2 (en) | Information processing equipment, information processing methods, and programs | |
| KR102530659B1 (en) | Method, device and system for providing product curation and product purchase subscription platform service based on user product purchase history | |
| CN109509117A (en) | A kind of vegetable recommended method, apparatus and system | |
| KR20140070234A (en) | Apparatus and method for servicing personalized food menu and foods purchase able to feedback | |
| JP2016053784A (en) | Information recommendation program and information processing apparatus | |
| US20140255883A1 (en) | System and method for automated monitoring of food and beverage intake, determining associated nutritional information and comparing with a predetermined dietary plan | |
| CN109064296A (en) | A kind of methods, devices and systems assisting snack | |
| US20140379465A1 (en) | Providing Advertisement Opportunities During Presentation of Shopping List | |
| JP2020091577A (en) | Health promotion support system and health promotion support method | |
| CN112116121A (en) | Driving route recommendation method and device, electronic device and storage medium | |
| CN111613294A (en) | Meal collocation scheme information processing method and device and electronic equipment | |
| JP2001195385A (en) | Recipe supply system | |
| US20140127651A1 (en) | Avatar having artificial intelligence for identifying and providing meal recommendations |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |