CN112199593A - Menu recommendation method and device - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 51
- 235000013305 food Nutrition 0.000 claims description 63
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- 241000272525 Anas platyrhynchos Species 0.000 description 1
- 235000004936 Bromus mango Nutrition 0.000 description 1
- 240000007228 Mangifera indica Species 0.000 description 1
- 235000014826 Mangifera indica Nutrition 0.000 description 1
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 235000009184 Spondias indica Nutrition 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
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- 235000009566 rice Nutrition 0.000 description 1
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- 238000010025 steaming Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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Abstract
The invention provides a menu recommending method and a device, wherein the method comprises the following steps: receiving menu recommendation request information sent by a user, wherein the menu recommendation request information at least comprises first time when the user sends the menu recommendation request information; acquiring real-time weather information of a first time according to the first time in the menu recommendation request information; the recommended menu is obtained by matching the real-time weather information of the first time with the menu database, and the technical problem that the recommendation is single only by paying attention to the user taste in the conventional menu recommendation method is solved.
Description
Technical Field
The application relates to the field of computers, and relates to a menu recommendation method and device.
Background
With the rapid development of smart homes, more and more convenience is brought to people, some smart devices such as smart speakers recommend recipes to users, but at present, various methods for recommending recipes exist in life, and most of the methods are based on the tastes of the users or the methods are used for analyzing what dishes the users like to eat according to big data so as to recommend the recipes.
It should be noted that, in the existing menu recommendation method, only the user taste is concerned with recommending the menu, and the recommendation is single.
Disclosure of Invention
The invention provides a menu recommending method and device.
According to a first aspect of the present invention, there is provided a method of recommending a recipe, the method comprising: receiving menu recommendation request information sent by a user, wherein the menu recommendation request information at least comprises first time when the user sends the menu recommendation request information; acquiring real-time weather information of a first time according to the first time in the menu recommendation request information; and matching the real-time weather information at the first time with a menu database to obtain a recommended menu.
Further, before receiving the menu recommendation request information sent by the user, the method comprises the following steps: receiving sound information input by a user at a second time; recognizing the voice information of the user to obtain food word information; acquiring real-time weather information at a second time; establishing a first association relation between the food word information and the real-time weather information at the second time; and adding the first incidence relation to a menu database.
Further, before receiving the menu recommendation request information sent by the user, the method comprises the following steps: receiving sound information input by a user; recognizing the voice information of the user to obtain food word information and weather information; establishing a second association relationship between the food word information and the weather information; and adding the second incidence relation to the menu database.
Further, the method further comprises: under the condition that the real-time weather information at the first time fails to be matched with the menu database; generating a recommendation menu, wherein the recommendation menu comprises a plurality of food word information; after a selection instruction of a user for first food word information in the plurality of food word information is received, establishing a third association relationship between the real-time weather information at the first time and the first food word information; adding the third association to the recipe database.
Further, after obtaining the recommended menu, the method further comprises: acquiring an order record on an application program running on a user terminal; and updating the menu database according to the food word information in the order record.
According to a second aspect of the present invention, there is provided a menu recommendation apparatus, comprising: the system comprises a first receiving unit, a second receiving unit and a third receiving unit, wherein the first receiving unit is used for receiving menu recommendation request information sent by a user, and the menu recommendation request information at least comprises first time when the user sends the menu recommendation request information; the first obtaining unit is used for obtaining real-time weather information of a first time according to the first time in the menu recommendation request information; and the matching unit is used for matching the real-time weather information at the first time with the menu database to obtain a recommended menu.
Further, the apparatus comprises: the second receiving unit is used for receiving sound information input by the user at a second time; the first identification unit is used for identifying the voice information of the user to obtain food word information; the second acquisition unit is used for acquiring real-time weather information at a second time; the first establishing unit is used for establishing a first association relation between the food word information and the real-time weather information at the second time; and the first adding unit is used for adding the first association relation to the menu database.
Further, the apparatus comprises: a third receiving unit for receiving the voice information input by the user; the second identification unit is used for identifying the voice information of the user to obtain food word information and weather information; the second establishing unit is used for establishing a second association relation between the food word information and the weather information; and the second adding unit is used for adding the second association relation to the menu database.
Further, the apparatus further comprises: under the condition that the real-time weather information at the first time fails to be matched with the menu database; generating a recommendation menu, wherein the recommendation menu comprises a plurality of food word information; after a selection instruction of a user for first food word information in the plurality of food word information is received, establishing a third association relationship between the real-time weather information at the first time and the first food word information; adding the third association to the recipe database.
Further, after obtaining the recommended menu, the device further comprises: acquiring an order record on an application program running on a user terminal; and updating the menu database according to the food word information in the order record.
The invention provides a menu recommending method and a device, wherein the method comprises the following steps: receiving menu recommendation request information sent by a user, wherein the menu recommendation request information at least comprises first time when the user sends the menu recommendation request information; acquiring real-time weather information of a first time according to the first time in the menu recommendation request information; the recommended menu is obtained by matching the real-time weather information of the first time with the menu database, and the technical problem that the recommendation is single only by paying attention to the user taste in the conventional menu recommendation method is solved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a menu recommendation method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating an alternative recipe recommendation method according to a first embodiment of the present invention; and
fig. 3 is a schematic diagram of a menu recommending apparatus according to a first embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, the present disclosure provides a menu recommendation method, which may include:
step S11, receiving recipe recommendation request information sent by a user, where the recipe recommendation request information at least includes a first time when the user sends the recipe recommendation request information.
Specifically, in this scheme, an intelligent terminal such as a mobile phone terminal or a smart speaker may be used to receive menu request information sent by a user, where the menu request information may be text information or preferably voice information input by the user, for example, the user may speak to the intelligent terminal: what is eaten today? The intelligent terminal can recognize the voice of the user and recognize the request information of the menu recommended by the user, and then the intelligent terminal obtains the time when the user menu recommending request information is obtained, namely the first time.
And step S13, acquiring real-time weather information of the first time according to the first time in the menu recommendation request information.
Specifically, in the present solution, the weather at the first time, that is, the real-time weather when the user sends the recipe request information, may be obtained by going to the internet (for example, a weather website) based on the first time.
And step S15, matching the real-time weather information of the first time with a menu database to obtain a recommended menu.
Specifically, in the scheme, the incidence relation between the weather and the food can be established in advance in the menu database, and the incidence relation between the weather and the food can be snowy days, hot pot days, rainy days, chocolate and the like. It should be noted that there is an association relationship between the menu database and the user, that is, the menu databases corresponding to different users in the database are all different, so that the menu database matched with the user identity can be found through the user identity after the user identity is identified through the voiceprint, and then the food is matched according to the first time.
It should be further noted that the scheme can match appropriate food for the client according to the weather, and can also recommend food for the client according to the solar terms and festivals of the first time, such as eating the rice dumplings in the noon festival, eating the spring cakes in the spring minutes, eating the dumplings in the spring festival, and the like. The combination of weather is that people can have different tastes according to weather conditions, for example, people want to eat cold dishes in a sauce in a hot weather, people want to eat hot dishes in a hot weather, but everyone has differences, and by capturing words of users, dishes, weather conditions and solar terms which meet conditions are stored in a database, and unique personal menu recommendations of the users can be formed. When the user inquires about 'what dinner eat' the user can inquire the user database according to weather and solar terms to give related dishes for the user to select, because the dishes are stored in the personal database of the user, the dishes which the user does not like to eat are not available, and the user can decide what the user wants to eat in a short time.
According to the scheme, when the user needs to recommend the menu, personalized menu recommendation is performed for the client by combining the current weather, and the user experience is improved, so that menu recommendation request information sent by the user is received, and the menu recommendation request information at least comprises the first time when the user sends the menu recommendation request information; acquiring real-time weather information of a first time according to the first time in the menu recommendation request information; the recommended menu is obtained by matching the real-time weather information of the first time with the menu database, and the technical problem that the recommendation is single only by paying attention to the user taste in the conventional menu recommendation method is solved.
Optionally, before receiving the recipe recommendation request information sent by the user in step S11, the method includes:
in step S081, sound information input by the user at the second time is received.
Step S082 identifies the voice information of the user to obtain the food word information.
And step S083, acquiring real-time weather information at the second time.
And step S084, establishing a first association relation between the food word information and the real-time weather information at the second time.
Step S085, adding the first association to a menu database.
Specifically, in the present scheme, the steps S081 to S085 may be a process of establishing a menu database, the intelligent terminal may identify the voice information of the user at any time (i.e., the second time), and then identify and obtain food word information, such as i like to eat fried chicken, i like to eat ice cream, i like to drink beer, i like to eat durian, i like to eat mango thousand layers, i like to eat roast duck, etc., it should be noted that in the steps S081 to S085, the voice of the user may not include weather information, the present scheme automatically obtains real-time weather information at the second time, then establishes an association relationship between the food information and the weather information and adds the association relationship to the menu database, such as eating fried chicken in rainy days, eating ice cream in summer, etc., it should be noted that, before the steps S081 to S085, the present scheme may identify the identity of the user and then proceed, the method can be used for establishing different private menu databases for different users, and the identity recognition method is realized through voiceprints, so that the voiceprints of the users can be recorded at first, and the identity of the users can be judged through voiceprint recognition when the users speak.
It should be further noted that in the scheme, the voiceprints of the user may be recorded first, because each person has different taste, and the identity is marked, the scheme may capture the dialogue of the user, the keyword is mainly "eat" or "taste", two sentences before and after the keyword are recognized, if a negative word appears, such as "do not want to eat", "do not eat", etc., the user does not add the word into the database, if the user mentions "dislike to eat", the menu mentioned near the three keyword utterances may be listed in the "blacklist", no relevant menu is recommended to the user, if no negative word appears, the menu name is recorded and the corresponding menu is queried, the menu is stored in the database in combination with the current weather and solar terms, to form the personal customized menu of the user, when the user needs to recommend the menu later, the user mainly queries "what you eat today", the user identity can be recognized first, and then the database is inquired to recommend the corresponding menu to the user according to the solar terms and weather. According to the scheme, the context of the word 'eating' of the user is extracted, and the personalized menu recommendation is performed on the user by combining the weather at that time, so that better experience is brought to the user.
Optionally, before receiving the recipe recommendation request information sent by the user in step S11, the method includes:
step S071, receiving the voice information input by the user.
And step S072, recognizing the voice information of the user to obtain food word information and weather information.
And step S073, establishing a second association relation between the food word information and the weather information.
Step S074, adding the second association to the menu database.
Specifically, in the present scheme, the above steps S071 to S074 may be a process of establishing a menu database, where the intelligent terminal may identify sound information of the user at any time, and then identify and obtain food word information and weather information, for example, i like to eat fried chicken in rainy days, i like to eat ice cream in cold days, i like to drink beer in windy days, i like to eat durian in thunderstorm days, and so on, it should be noted that, before steps S071 to S074, the scheme may first identify the identity of the user and then proceed, that is, different private menu databases may be established for different users.
Optionally, the method further comprises: under the condition that the real-time weather information at the first time fails to be matched with the menu database, generating a recommendation menu, wherein the recommendation menu comprises a plurality of food word information; after a selection instruction of a user for first food word information in the plurality of food word information is received, establishing a third association relationship between the real-time weather information at the first time and the first food word information; adding the third association to the recipe database.
Specifically, in the scheme, if the user sends a menu recommendation request for the first time, the database does not have any stored related data, namely the matching fails, the scheme can recommend according to corresponding conventional recommendation operation, and recommend related menus according to fuzzy query, namely the generated recommendation menu is used for the user to select, for example, whether the taste of the user likes light or heavy taste, whether frying or steaming is required, one selection is required by the user, and then the scheme automatically records the personalized taste of the user. The user may have a conversation while eating, and then keyword capture can be performed on the user's utterance, and what dish the user has done can be identified, and whether the database has corresponding data is inquired, and if not, the data is stored. And as the service time increases, the data stored in the database can be continuously increased and enriched.
Optionally, after obtaining the recommended menu in step S15, the method further includes:
step S17, an order record on an application running on the user terminal is obtained.
And step S19, updating the menu database according to the food word information in the order record.
Specifically, in the present scheme, a purchase record of the user, such as an order record on how hungry or a mei cuo, may be obtained, and then the menu database may be updated according to the order record data.
Referring to fig. 2, an alternative embodiment of the present solution is introduced with respect to building a menu database:
the method comprises the steps that firstly, a user speaks, voiceprints are recorded under the condition that the user speaks for the first time, a database corresponding to each voiceprint is established, then the identity is recognized, whether a recommended menu is allowed or not is judged, if yes, the database is inquired for recommendation, if the scheme is used for the first time, the conventional recommendation is needed, a menu database is established according to the selection of the user, if the menu is not allowed to be recommended, keywords are captured in the voice of the user, the context is identified, whether negative words exist or not is judged, if negative words exist, whether offensive words and dislike words exist in the keywords is judged, if yes, food words are added into a blacklist, and if no negative words exist, the blacklist is not added. And if the user does not speak negative words, the user inquires whether the dish name is stored in the database or not after identifying the dish name, if the dish name is stored, the dish name is not added to the database, and if the dish name is not stored, the dish name is added to the database.
Example two
The present invention also provides a menu recommending apparatus, which can be used to implement the method according to one embodiment, as shown in fig. 3, the apparatus can include: a first receiving unit 30, configured to receive recipe recommendation request information sent by a user, where the recipe recommendation request information at least includes a first time when the user sends the recipe recommendation request information; the first obtaining unit 32 is configured to obtain real-time weather information of a first time according to the first time in the menu recommendation request information; and the matching unit 34 is used for matching the real-time weather information of the first time with the menu database to obtain a recommended menu.
According to the method and the device, when the user needs to recommend the menu, personalized menu recommendation is performed for the client by combining the weather at that time, and the user experience is improved, so that the menu recommendation request information sent by the user is received through a plurality of units in the device, and the menu recommendation request information at least comprises the first time when the user sends the menu recommendation request information; acquiring real-time weather information of a first time according to the first time in the menu recommendation request information; the recommended menu is obtained by matching the real-time weather information of the first time with the menu database, and the technical problem that the recommendation is single only by paying attention to the user taste in the conventional menu recommendation method is solved.
Optionally, the apparatus comprises: the second receiving unit is used for receiving sound information input by the user at a second time; the first identification unit is used for identifying the voice information of the user to obtain food word information; the second acquisition unit is used for acquiring real-time weather information at a second time; the first establishing unit is used for establishing a first association relation between the food word information and the real-time weather information at the second time; and the first adding unit is used for adding the first association relation to the menu database.
Optionally, the apparatus comprises: a third receiving unit for receiving the voice information input by the user; the second identification unit is used for identifying the voice information of the user to obtain food word information and weather information; the second establishing unit is used for establishing a second association relation between the food word information and the weather information; and the second adding unit is used for adding the second association relation to the menu database.
Optionally, the apparatus further comprises: under the condition that the real-time weather information at the first time fails to be matched with the menu database; generating a recommendation menu, wherein the recommendation menu comprises a plurality of food word information; after a selection instruction of a user for first food word information in the plurality of food word information is received, establishing a third association relationship between the real-time weather information at the first time and the first food word information; adding the third association to the recipe database.
Optionally, after obtaining the recommended menu, the apparatus further includes: acquiring an order record on an application program running on a user terminal; and updating the menu database according to the food word information in the order record.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A method for recommending a recipe, comprising:
receiving menu recommendation request information sent by a user, wherein the menu recommendation request information at least comprises first time when the user sends the menu recommendation request information;
acquiring real-time weather information of a first time according to the first time in the menu recommendation request information;
and matching the real-time weather information at the first time with a menu database to obtain a recommended menu.
2. The method of claim 1, wherein before receiving the recipe recommendation request information transmitted by the user, the method comprises:
receiving sound information input by the user at a second time;
recognizing the voice information of the user to obtain food word information;
acquiring real-time weather information at the second time;
establishing a first association relation between the food word information and the real-time weather information at the second time;
adding the first incidence relation to the menu database.
3. The method of claim 1, wherein before receiving the recipe recommendation request information transmitted by the user, the method comprises:
receiving sound information input by a user;
recognizing the voice information of the user to obtain food word information and weather information;
establishing a second association relationship between the food word information and the weather information;
adding the second incidence relation to the menu database.
4. The method of claim 1, further comprising:
under the condition that the real-time weather information at the first time fails to be matched with the menu database;
generating a recommendation menu, wherein the recommendation menu comprises a plurality of food word information;
after receiving a selection instruction of a user for first food term information in the plurality of food term information, establishing a third association relationship between the real-time weather information of the first time and the first food term information;
adding the third association to the recipe database.
5. The method of claim 1, wherein after obtaining the recommended recipe, the method further comprises:
acquiring an order record on an application program running on a user terminal;
and updating the menu database according to the food word information in the order record.
6. A menu recommendation device, comprising:
the system comprises a first receiving unit, a second receiving unit and a third receiving unit, wherein the first receiving unit is used for receiving menu recommendation request information sent by a user, and the menu recommendation request information at least comprises first time when the user sends the menu recommendation request information;
the first obtaining unit is used for obtaining real-time weather information of a first time according to the first time in the menu recommendation request information;
and the matching unit is used for matching the real-time weather information at the first time with a menu database to obtain a recommended menu.
7. The apparatus of claim 6, wherein the apparatus comprises:
the second receiving unit is used for receiving sound information input by the user at a second time;
the first identification unit is used for identifying the voice information of the user to obtain food word information;
the second acquisition unit is used for acquiring the real-time weather information at the second time;
the first establishing unit is used for establishing a first association relation between the food word information and the real-time weather information at the second time;
a first adding unit, configured to add the first association relationship to the menu database.
8. The apparatus of claim 6, wherein the apparatus comprises:
a third receiving unit for receiving the voice information input by the user;
the second identification unit is used for identifying the voice information of the user to obtain food word information and weather information;
the second establishing unit is used for establishing a second association relation between the food word information and the weather information;
and the second adding unit is used for adding the second association relation to the menu database.
9. The apparatus of claim 6, further comprising:
under the condition that the real-time weather information at the first time fails to be matched with the menu database;
generating a recommendation menu, wherein the recommendation menu comprises a plurality of food word information;
after receiving a selection instruction of a user for first food term information in the plurality of food term information, establishing a third association relationship between the real-time weather information of the first time and the first food term information;
adding the third association to the recipe database.
10. The apparatus of claim 6, wherein after obtaining the recommended recipe, the apparatus further comprises:
acquiring an order record on an application program running on a user terminal;
and updating the menu database according to the food word information in the order record.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115077159A (en) * | 2021-03-10 | 2022-09-20 | 松下电器研究开发(苏州)有限公司 | Refrigerator and intelligent refrigerator system |
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| CN108123985A (en) * | 2016-11-30 | 2018-06-05 | 佛山市顺德区美的电热电器制造有限公司 | Menu recommends method, system, server and intelligent terminal |
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| CN115077159A (en) * | 2021-03-10 | 2022-09-20 | 松下电器研究开发(苏州)有限公司 | Refrigerator and intelligent refrigerator system |
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