WO2023165269A1 - 目标电子菜谱的推荐方法、对象的参数确定方法、电子菜谱的参数确定方法、烹饪设备、终端设备、以及烹饪控制方法和装置 - Google Patents

目标电子菜谱的推荐方法、对象的参数确定方法、电子菜谱的参数确定方法、烹饪设备、终端设备、以及烹饪控制方法和装置 Download PDF

Info

Publication number
WO2023165269A1
WO2023165269A1 PCT/CN2023/071304 CN2023071304W WO2023165269A1 WO 2023165269 A1 WO2023165269 A1 WO 2023165269A1 CN 2023071304 W CN2023071304 W CN 2023071304W WO 2023165269 A1 WO2023165269 A1 WO 2023165269A1
Authority
WO
WIPO (PCT)
Prior art keywords
cooking
weight
target
information
electronic
Prior art date
Application number
PCT/CN2023/071304
Other languages
English (en)
French (fr)
Inventor
龚嘉平
陈浩
邱宇健
贾俊杨
孙婷婷
Original Assignee
添可智能科技有限公司
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority claimed from CN202210215314.8A external-priority patent/CN114741588A/zh
Priority claimed from CN202210215315.2A external-priority patent/CN114732291A/zh
Application filed by 添可智能科技有限公司 filed Critical 添可智能科技有限公司
Publication of WO2023165269A1 publication Critical patent/WO2023165269A1/zh

Links

Images

Classifications

    • 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
    • G06F16/9535—Search customisation based on user profiles and personalisation

Definitions

  • the present disclosure relates to the field of smart electrical appliances, in particular to a method for recommending target electronic recipes, a method for determining parameters of objects, a method for determining parameters for electronic recipes, cooking equipment, terminal equipment, and cooking control methods and devices.
  • the cooking device is provided with a recipe recommendation function, and the recipes recommended to the user are obtained from network channels (for example, gourmet web pages, Xiaohongshu rankings, etc.).
  • network channels for example, gourmet web pages, Xiaohongshu rankings, etc.
  • the present disclosure provides a method for recommending a target electronic recipe, including:
  • the second electronic recipe set acquire the parameters of the object; for any second electronic recipe in the second electronic recipe set, determine the first tag and the second tag corresponding to the second electronic recipe; determine the first a first weight corresponding to a tag, and a second weight corresponding to the second tag; determining the second weight based on the first tag, the first weight, the second tag, and the second weight
  • the recipe vector of the recipe determine the similarity between the recipe vector and the parameter, and obtain the similarity set corresponding to the second electronic recipe set; select a part or All the second electronic recipes are used as target electronic recipes; and the target electronic recipes are pushed to the target device.
  • the parameters of the acquired object include:
  • the parameter of the object is determined by using the first electronic recipe set and the trigger operation set.
  • the trigger operation set of the acquisition object for the first electronic recipe set includes:
  • the detection object triggers the first electronic recipe in the first electronic recipe set, and the trigger operation includes at least one of the following: click to view, save, add to the basket, add to a cooking plan, cook or share;
  • the trigger operations and operation times of the object on the first electronic recipe set in the first electronic recipe set within a preset time period are taken as a trigger operation set.
  • the determining the parameters of the object by using the first electronic recipe set and the trigger operation set includes:
  • the trigger operation uses the trigger operation, the number of operations, the weight corresponding to the sub-information, the time decay coefficient corresponding to the sub-information, and the importance of the sub-information to determine the initial preference value of the sub-information;
  • the preference value set after vectorization processing is used as a parameter of the object.
  • the selection of part or all of the second electronic recipes from the second electronic recipe set based on the similarity set as the target electronic recipe includes:
  • the second electronic recipe whose similarity is greater than a set threshold is selected from the second electronic recipe set as a target electronic recipe.
  • the first label is the parent label of the second label
  • the second label includes one or more levels of labels; the corresponding weight of the second label and the first label , or the corresponding weights between the multi-level tags in the second tag decay step by step.
  • the present disclosure provides a method for determining parameters of an object, including:
  • the set of preference values is used as a parameter of the object.
  • the present disclosure provides a method for determining parameters of an electronic recipe, including:
  • any second electronic recipe in the second electronic recipe set determine the similarity between the second electronic recipe and the parameter, and obtain a similarity set corresponding to the second electronic recipe set.
  • the present disclosure provides a cooking device, including: a processor and a memory, the processor is used to execute a program for determining parameters of an object stored in the memory, so as to obtain a second electronic recipe set; obtain parameters of the object; For any second electronic recipe in the second electronic recipe set, determine the first label and the second label corresponding to the second electronic recipe; determine the first weight corresponding to the first label, and the second the second weight corresponding to the label; determine the recipe vector of the second electronic recipe based on the first label, the first weight, the second label and the second weight; determine the recipe vector and the parameter similarity to obtain a similarity set corresponding to the second electronic recipe set; select part or all of the second electronic recipe from the second electronic recipe set based on the similarity set as the target electronic recipe; The target electronic recipe is pushed to the target device.
  • the present disclosure provides a terminal device, including: a processor and a memory, the processor is used to execute the electronic recipe parameter determination method program stored in the memory, so as to obtain the second electronic recipe set; obtain the parameters of the object ; For any second electronic recipe in the second electronic recipe set, determine the first label and the second label corresponding to the second electronic recipe; determine the first weight corresponding to the first label, and the the second weight corresponding to the second label; determine the recipe vector of the second electronic recipe based on the first label, the first weight, the second label and the second weight; determine the recipe vector and According to the similarity of the parameters, the similarity set corresponding to the second electronic recipe set is obtained; based on the similarity set, part or all of the second electronic recipes are selected from the second electronic recipe set as the target electronic recipe; The target electronic recipe is pushed to the target device.
  • the present disclosure provides a cooking control method, including:
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient;
  • the weight information of the target ingredient is obtained
  • the target food material is cooked according to the cooking strategy.
  • the determining the cooking strategy of the target ingredient according to the weight information and the standard weight value includes:
  • the cooking strategy of the target ingredient is the first cooking strategy, wherein the first weight threshold and the second weight threshold are determined by The standard weight value is determined, and the standard weight value is greater than the first weight threshold and smaller than the second weight threshold.
  • the cooking of the target food according to the cooking strategy includes:
  • control the cooking device to cook the target ingredient according to the target cooking electronic recipe.
  • the determining the cooking strategy of the target ingredient according to the weight information and the standard weight value includes:
  • the cooking strategy of the target ingredient is the second cooking strategy Strategy.
  • the first weight threshold, the second weight threshold, the third weight threshold and the fourth weight threshold are determined by the type of the target food material and the corresponding standard weight value .
  • the determining the cooking strategy of the target ingredient according to the weight information and the standard weight value includes:
  • the cooking strategy is a third cooking strategy, and the third weight threshold and the fourth weight threshold are determined by the The above standard weight value is determined.
  • the cooking of the target food according to the cooking strategy includes:
  • the cooking device is controlled to switch cooking modes.
  • the cooking of the target food according to the cooking strategy includes:
  • the cooking strategy is the second cooking strategy, acquiring target seasoning information and target cooking time in the target electronic recipe;
  • the target seasoning information For the target seasoning information, update the target seasoning information based on the weight information, the first weight threshold, and the third weight threshold, or, based on the weight information, the second weight threshold,
  • the fourth weight threshold updates the target seasoning information to obtain preset seasoning information
  • the fourth weight threshold updates the target cooking time to obtain a preset cooking time
  • the cooking device is controlled to cook the target ingredient according to the preset seasoning information and the preset cooking time.
  • updating the target seasoning information includes:
  • the target seasoning information is linearly adjusted according to the weight information and the standard weight value.
  • said updating said target cooking time includes:
  • the target cooking duration is linearly adjusted according to the weight information and the standard weight value.
  • the method also includes:
  • the control cooking device is executed to cook the target food according to the preset seasoning information and the preset cooking time.
  • the cooking device is controlled to switch cooking modes.
  • the present disclosure provides a cooking control method, including:
  • the target food material is cooked according to the cooking strategy.
  • the present disclosure provides a cooking control device, including:
  • a first acquiring module configured to acquire a target electronic recipe, where the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient;
  • the second acquisition module is used to acquire the weight information of the target ingredient when it is determined that the target ingredient has been added
  • a determining module configured to determine a cooking strategy for the target ingredient according to the weight information and the standard weight value
  • a control module configured to cook the target food material according to the cooking strategy.
  • the present disclosure provides a cooking control device, including:
  • An acquisition module configured to acquire weight information of the target ingredient
  • a determining module configured to determine a cooking strategy for the target ingredient according to the weight information
  • a control module configured to cook the target food material according to the cooking strategy.
  • the present disclosure provides a cooking device, including: a processor and a memory, the processor is used to execute the program stored in the memory, so as to realize:
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient; when it is determined that the target ingredient has been added, Acquiring weight information of the target ingredient; determining a cooking strategy for the target ingredient according to the weight information and the standard weight value; cooking the target ingredient according to the cooking strategy.
  • the present disclosure provides a cooking device, including: a processor and a memory, the processor is used to execute a program stored in the memory, so as to realize:
  • the present disclosure provides a storage medium, the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement:
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient; when it is determined that the target ingredient has been added, Acquiring weight information of the target ingredient; determining a cooking strategy for the target ingredient according to the weight information and the standard weight value; cooking the target ingredient according to the cooking strategy.
  • the present disclosure provides a storage medium, the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement:
  • the parameter determination solution of the object provided by the present disclosure is obtained by obtaining the trigger operation set of the object on the first electronic recipe set within a preset time period; analyzing the first electronic recipe set from multiple dimensions Processing to obtain a plurality of sub-information corresponding to the first electronic recipe set; for each of the sub-information, use the trigger operation set to determine the preference value corresponding to each sub-information, and obtain the preference value corresponding to the plurality of sub-information set; using the preference value set as the parameter of the object, by analyzing the operation of the user's historical electronic recipes from multiple dimensions, the user's preference degree for sub-information of different dimensions is obtained, and the preference degree is used as The user's parameter information facilitates more targeted recipe recommendations in the future, and the recommended recipes are more in line with the user's preferences, improving the user experience.
  • the cooking control solution provided by the present disclosure obtains a target electronic recipe, the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe contains the target ingredient The corresponding standard weight value; when it is determined that the target ingredient is added, obtain the weight information of the target ingredient; determine the cooking strategy of the target ingredient according to the weight information and the standard weight value; according to the cooking strategy The target food is cooked, so as to dynamically adjust the cooking process according to the weight information of the target food, and improve the cooking effect.
  • FIG. 1 is a schematic flowchart of a method for determining parameters of an object provided by an embodiment of the present disclosure
  • FIG. 2 is a schematic flowchart of another method for determining parameters of an object provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic flowchart of a method for determining parameters of an electronic recipe provided by an embodiment of the present disclosure
  • Fig. 4 is a schematic flowchart of determining the similarity between the second electronic recipe and the parameters provided by an embodiment of the present disclosure
  • FIG. 5 is a schematic flowchart of a method for recommending a target electronic recipe according to an embodiment of the present disclosure
  • FIG. 6 is a schematic structural diagram of an object parameter determination device provided by an embodiment of the present disclosure.
  • FIG. 7 is a schematic diagram of the structure of an electronic recipe parameter determination device provided by an embodiment of the present disclosure.
  • FIG. 8 is a schematic structural diagram of a cooking device provided by an embodiment of the present disclosure.
  • FIG. 9 is a schematic structural diagram of a terminal device provided by an embodiment of the present disclosure.
  • FIG. 10 is a schematic flowchart of a cooking control method provided by an embodiment of the present disclosure.
  • Fig. 11 is a schematic flowchart of another cooking control method provided by an embodiment of the present disclosure.
  • Fig. 12 is a schematic flowchart of another cooking control method provided by an embodiment of the present disclosure.
  • Fig. 13 is a schematic flowchart of another cooking control method provided by an embodiment of the present disclosure.
  • Fig. 14 is a schematic flowchart of another cooking control method provided by an embodiment of the present disclosure.
  • Fig. 15 is a schematic structural diagram of a cooking control device provided by an embodiment of the present disclosure.
  • Fig. 16 is a schematic structural diagram of another cooking control device provided by an embodiment of the present disclosure.
  • FIG. 1 is a schematic flowchart of a method for determining parameters of an object provided by an embodiment of the present disclosure. As shown in FIG. 1 , the method specifically includes:
  • the object parameter determination method provided by the embodiments of the present disclosure is applied to a cooking device.
  • the cooking device may be a fully automatic frying pan.
  • the cooking device is provided with a display panel, on which the first electronic recipe set and the receiving object pair can be displayed. A trigger operation of the first electronic recipe.
  • the trigger operation of the object on the first electronic recipe set displayed on the display panel is detected, and the trigger operation may include: cooking operation, collection operation, sharing operation, etc.
  • a trigger operation set of the first electronic recipe set is detected, and the trigger operation may include: cooking operation, collection operation, sharing operation, etc.
  • the first set of electronic recipes may be understood as electronic recipes that trigger operations in the cooking device, that is, electronic recipes that are triggered by an object among all electronic recipes of the cooking device.
  • the first electronic recipes in the first electronic recipe set are analyzed and processed from multiple dimensions to obtain multiple sub-information corresponding to the first electronic recipe set.
  • the multiple dimensions can be understood as: the electronic recipes correspond to the dishes Taste, ingredients, cuisine, dishes, efficacy and so on.
  • the sub-information can be understood as a general term for the dimensions corresponding to the first electronic recipe set, and the division of the sub-information can be determined according to different set dimensions, which is not specifically limited in this embodiment.
  • each first electronic recipe in the first electronic recipe set is divided according to multiple dimensions to obtain a plurality of sub-information corresponding to each first electronic recipe, and then the first electronic recipe set in the Perform data statistics on the sub-information corresponding to all the first electronic recipes to obtain a plurality of sub-information corresponding to the first electronic recipe set.
  • one or more first electronic recipes corresponding to each sub-information, and part or all of the trigger operations in the trigger operation set corresponding to the one or more first electronic recipes are determined.
  • the preference value corresponding to the sub-information is determined, and then the preference value set corresponding to multiple sub-information is obtained, and the preference value set as an argument to the object.
  • the preference value can be understood as the subject's degree of preference for the sub-information, and the preference value set can be understood as the subject's degree of preference for multiple sub-information corresponding to the first electronic recipe set within a preset time.
  • the sub-information can be: spicy, with a preference value of 0.9, that is, the user’s preference for spicy is 90%; the sub-information can be: sweet, with a preference value of 0.1, also That is, the user's preference for spicy taste is 10%.
  • the user's taste can be represented by the above two sub-information: spicy and sweet. Usually, he prefers to eat spicy dishes. Through this information, more targeted actions can be realized. recipe recommendations.
  • the method for determining the parameters of an object provided by the embodiments of the present disclosure is obtained by obtaining a set of trigger operations of the object on the first electronic recipe set within a preset time period; Perform analysis and processing to obtain a plurality of sub-information corresponding to the first electronic recipe set; for each of the sub-information, use the trigger operation set to determine the preference value corresponding to each of the sub-information, and obtain a plurality of sub-information corresponding to A preference value set; using the preference value set as the parameter of the object, by analyzing the operation of the user's historical electronic recipes from multiple dimensions, the user's preference for sub-information of different dimensions is obtained, and the preference The degree is used as the parameter information of the user, which is convenient for subsequent more targeted recipe recommendations, and the recommended recipes are more in line with the user's preferences, improving the user experience.
  • FIG. 2 is a schematic flowchart of another method for determining parameters of an object provided by an embodiment of the present disclosure. As shown in FIG. 2 , the method specifically includes:
  • the use of the recipes in the cooking device by the object is acquired in the form of buried points.
  • an object recognition module for example, a camera etc.
  • the triggering operation includes at least one of the following: click to view, bookmark, add to shopping basket, add to cooking plan, cook or share.
  • the triggering operation can be understood as: a triggering operation of the object on the cooking device, or a triggering operation on an external device connected to the cooking device (eg, a remote control of the cooking device, a smart phone, etc.).
  • the operation of clicking and viewing can be understood as: the object clicks and views the electronic recipe during the process of searching and querying the electronic recipe.
  • the judgment condition corresponding to the clicking and viewing operation can be set. If the main page of the electronic recipe is displayed for more than 20 seconds, it is considered that the object has a click to view the electronic recipe.
  • the collection operation can be understood as: the operation that the object adds the electronic recipe to the personal collection.
  • the operation of adding to the shopping basket can be understood as an operation in which the object adds the ingredients corresponding to the electronic recipe to the shopping list.
  • the operation of adding cooking plan can be understood as: the object adds the electronic recipe to the cooking plan of a certain time period, for example, the object adds tomato scrambled eggs as the noon cooking plan.
  • the cooking operation can be understood as: the operation that the object completes the cooking according to the electronic recipe, and the electronic recipe can be randomly selected by the object, or can be an electronic recipe selected from the collection or the cooking plan.
  • the sharing operation can be understood as: an operation in which an object shares an electronic recipe with other objects.
  • a weight corresponding to each trigger operation is set, and the weight value can be obtained according to the conversion rate from operation to cooking.
  • the weights corresponding to the operation of clicking to view, the operation of adding to the basket, the operation of adding to the cooking plan, the operation of cooking and the operation of sharing are 1:10:5:7:20:20.
  • the first electronic recipes in the first electronic recipe set are analyzed and processed from multiple dimensions to obtain multiple sub-information corresponding to the first electronic recipe set.
  • the multiple dimensions can be understood as: the electronic recipes correspond to the dishes Taste, ingredients, cuisine, dishes, efficacy and so on.
  • the weights of multiple sub-information corresponding to the electronic recipe are set, and the specific value of the weight can be set according to the importance of the sub-information.
  • the weight of taste:ingredients:cuisine:dish:effect is set as: 1:1:0.4:0.3:0.2.
  • For each sub-information determine the weight of the sub-information by using the trigger operation, the number of operations, the weight corresponding to the sub-information, the time decay coefficient corresponding to the sub-information, and the importance of the sub-information initial preference value.
  • the initial value of the sub-information is determined according to the preset formula for the trigger operation, the number of operations, the weight corresponding to the sub-information, the time decay coefficient corresponding to the sub-information, and the importance of the sub-information. preference value.
  • time decay coefficient corresponding to the sub-information can be obtained according to Newton’s thermodynamic formula, that is, the closer the time is, the larger the coefficient is, and the longer the time is, the smaller the coefficient is.
  • time decay coefficient exp(-0.02*the nearest time interval), the nearest The time interval of is the closest time interval from the current time to cooking the first electronic recipe corresponding to the sub-information.
  • logistic normalization is performed on the obtained initial preference value to obtain the preference value corresponding to the sub-information.
  • the normalization process can be:
  • X is the initial preference value and Y is the preference value.
  • the user A's preference for spicy taste is 0.9.
  • the preference value corresponding to each sub-information is sequentially determined, and the preference values corresponding to multiple sub-information are used as a preference value set, and vectorized processing is performed on the preference value set to obtain a vectorized preference value set.
  • the vectorized preference value set is used as the parameter of the object, which can represent the preference degree of the object for each sub-information.
  • the user's preference value set is: ⁇ spicy: 0.82, spicy: 0.9, onion: 0.0, root: 0.3, vegetable: 0.6 ⁇
  • the user's parameter can be [0.82,0.9 ,0.0,0.3,0.6], it can be seen that the user prefers spicy flavors, and electronic recipes with spicy flavors can be pushed to the user.
  • the method for determining the parameters of an object provided by the embodiments of the present disclosure is obtained by obtaining a set of trigger operations of the object on the first electronic recipe set within a preset time period; Perform analysis and processing to obtain a plurality of sub-information corresponding to the first electronic recipe set; for each of the sub-information, use the trigger operation set to determine the preference value corresponding to each of the sub-information, and obtain a plurality of sub-information corresponding to A preference value set; using the preference value set as the parameter of the object, by analyzing the operation of the user's historical electronic recipes from multiple dimensions, the user's preference for sub-information of different dimensions is obtained, and the preference The degree is used as the parameter information of the user, which is convenient for subsequent more targeted recipe recommendations, and the recommended recipes are more in line with the user's preferences, improving the user experience.
  • FIG. 3 is a schematic flowchart of a method for determining parameters of an electronic recipe provided by an embodiment of the present disclosure, as shown in FIG. 3 , specifically including:
  • crawlers crawl the second electronic recipes from multiple channels (for example, gourmet web pages, Xiaohongshu rankings, etc.), and use all the obtained second electronic recipes as a second electronic recipe set.
  • label data corresponding to multiple dimensions is determined, and the label data may include: taste, ingredients, cuisine, dishes, efficacy, and the like.
  • tag data may include:
  • Efficacy beautify and nourish the skin, invigorate the spleen and nourish the stomach, low-fat slimming, laxative,...
  • each electronic recipe can be tagged (vectorized) according to the tag data, so that it is consistent with the type of the parameters of the object.
  • the parameter information of the object is obtained through the embodiment shown in FIG. 1 or FIG. 2 .
  • FIG. 1 or 2 For details, reference may be made to related descriptions in FIG. 1 or 2 , and details are not repeated here.
  • the similarity between each second electronic recipe in the second electronic recipe set and the parameters of the object is compared to obtain the similarity between each second electronic recipe and the parameter, and then to obtain the corresponding similarity of the second electronic recipe.
  • a degree set, the similarity can represent the degree of similarity between the preference of the subject and the second electronic recipe, the greater the similarity, the more the second electronic recipe fits the subject; the smaller the similarity, the less the second electronic recipe matches the subject.
  • the method for determining parameters of electronic recipes provided by the embodiments of the present disclosure is obtained by acquiring a second electronic recipe set; acquiring parameters of objects; and for any second electronic recipe in the second electronic recipe set, Determine the similarity between the second electronic recipe and the parameter, obtain a similarity set corresponding to the second electronic recipe set, label the electronic recipe, and similarize the processed electronic recipe to the user's parameters Degree comparison, to obtain the similarity between parameters and all electronic recipes, the similarity can represent the similarity between electronic recipes and user preferences, which is convenient for follow-up more targeted recipe recommendations, and the recommended recipes are more in line with user preferences, improving user experience.
  • Fig. 4 is a schematic flowchart of determining the similarity between the second electronic recipe and the parameters involved in the embodiment of the present disclosure, as shown in Fig. 4 , specifically including:
  • multiple second electronic recipes in the second electronic recipe collection have different descriptions for the same ingredients, for example, tomato, tomato; potato, potato slice, potato block; cabbage, lotus flower, cabbage , cabbage, etc.
  • word segmentation, similarity calculation, synonym analysis, etc. are performed on the content in the second electronic recipe through natural language processing, for example, through word2vec word vector model, Baidu Encyclopedia, Harbin Institute of Technology Cilin and other thesaurus etc. , and finally perform proofreading and adjustment to obtain the label normalization mapping table of the label.
  • tag normalization mapping table The format of the tag normalization mapping table is: tag word1,word2,...,wordi, indicating that wordi is normalized to tag.
  • the first tag (tag) and the second tag (wordi) corresponding to each second electronic recipe the first tag is the parent tag of the second tag, and the second tag includes one or more levels Label.
  • the corresponding weights of the second tag and the first tag, or the corresponding weights between multi-level tags in the second tag decay step by step.
  • the label normalization mapping table is then generalized to obtain, that is, determine one or more levels of second labels corresponding to each first label.
  • spicy is the first label
  • hot and sour and spicy are the second labels, which are mapped to spicy and are sub-labels of spicy
  • spicy is the parent label of hot and sour and spicy.
  • meat is the first label
  • pork is the second label (the first-level label in the second label), which is mapped to meat and is a sub-label of meat
  • pork belly, pork tenderloin, and lean pork are the second label ( Secondary Tags in Secondary Tags), which maps to Pork, is a sub-tag of Pork.
  • keyword matching is performed according to the label standardized mapping table to obtain the first label corresponding to each dimension, and then the generalized mapping from the label is performed according to the first label
  • the second tag is obtained in the table, and then all the tags corresponding to the multiple dimensions in the second electronic recipe (the first tag and the second tag of the multiple dimensions) are obtained.
  • the second electronic recipe is Tomato Sliced Pork Soup, taking the ingredient dimension as an example: the ingredients of Tomato Sliced Pork Soup include tomato chunks and lean pork slices;
  • the raw tomato sliced meat soup has ingredients labels [tomatoes, lean pork, fruits, vegetables, pork, meat].
  • the second electronic recipe corresponds to the weight of the dimension (also understandable: sub-information), the weight between the dimensions can be set according to the importance of the dimension, and each dimension corresponds to The weights of the first label and the second label, the corresponding weights of the second label and the first label, or the corresponding weights between the multi-level labels in the second label decay step by step, and the decay coefficient It can be set according to the actual situation, such as 0.5.
  • the weight of taste:ingredients:cuisine:dish:efficacy is set as: 1:1:0.4:0.3:0.2.
  • the weight of the attenuation is 0.5
  • the weight of tomato is 1.0.
  • it is generalized to the fruit category and the weight of the fruit category is 0.5, and then generalized to the vegetable category, then the vegetable category
  • the weight is 0.25
  • the label and weight of the final recipe are: tomato@1.0
  • the recipe vector of the second electronic recipe is constructed according to the first label and the first weight corresponding to each dimension of the second electronic recipe, the second label and the second weight.
  • the recipe vector is [1.0,0.5,1.0,0.5,0.25].
  • the cosine similarity is used to determine the similarity between the recipe vector and the parameters.
  • user B's preference value set is: ⁇ spicy: 0.82, spicy: 0.9, onion: 0.0, root: 0.3, vegetable: 0.6 ⁇ , and the parameters are: [0.82,0.9 ,0.0,0.3,0.6]; the recipe vector is [1.0,0.5,1.0,0.5,0.25], then the similarity between the recipe vector and the parameter is 0.705, that is, user B’s preference for spicy fried onions is 0.705.
  • FIG. 5 is a schematic flowchart of a method for recommending a target electronic recipe according to an embodiment of the present disclosure, as shown in FIG. 5 , specifically including:
  • S51 is similar to S31 in the embodiment shown in FIG. 3 , and for concise description, reference may be made to related descriptions in FIG. 3 , and details are not repeated here.
  • a set of triggering operations of an object for a first set of electronic recipes is acquired; parameters of the object are determined by using the first set of electronic recipes and the set of triggering operations.
  • the detection object triggers the first electronic recipe in the first electronic recipe set, and the trigger operation includes at least one of the following: click to view, save, add to the basket, add to a cooking plan, cook or share;
  • the trigger operation and the number of operations performed by the object on the first electronic recipe in the first electronic recipe set within a preset time period are used as a trigger operation set.
  • the preference value is normalized to obtain the preference value corresponding to the sub-information; the obtained preference value set is vectorized; and the vectorized preference value set is used as the parameter of the object.
  • S52 is similar to S11-S14 in the embodiment shown in FIG. 1 and S21-S28 in the embodiment shown in FIG. Here, no further details are given.
  • S53-S54 are similar to S41-S44 in the embodiment shown in FIG. 4 , and for concise description, reference may be made to the relevant description in FIG. 4 , and details are not repeated here.
  • all the second electronic recipes in the second electronic recipe set are sorted based on the similarity set; part or all of the second electronic recipes are selected from all the sorted second electronic recipes
  • the second electronic recipe is used as the target electronic recipe; or, based on the similarity set, the second electronic recipe with a similarity greater than a set threshold is selected from the second electronic recipe set as the target electronic recipe.
  • the second electronic recipes are sorted according to the similarity from high to low, and the top 200 second electronic recipes with high similarity are selected as the target electronic recipes; or, according to the similarity set , taking the second electronic recipe with a similarity greater than 0.9 as the target electronic recipe.
  • the target electronic recipe is pushed to the target device, which can be a cooking device or a terminal device (for example, a remote control of the cooking device, a smart phone, etc.), so that the user can follow the target device when touching the target device.
  • the target device can be a cooking device or a terminal device (for example, a remote control of the cooking device, a smart phone, etc.), so that the user can follow the target device when touching the target device.
  • Electronic recipes for cooking for cooking.
  • user A has cooked dishes containing potatoes 5 times, Northeast dishes 6 times, and spicy dishes 10 times; click to view operations, save operations,
  • the corresponding weights of adding food basket operation, adding cooking plan operation, cooking operation and sharing operation are 1:10:5:7:20:20;
  • the recipe vector is [1.0,0.5,1.0,0.5,0.25].
  • user B’s preference value set is: ⁇ spicy: 0.82, spicy: 0.9, onion: 0.0, root: 0.3, vegetable: 0.6 ⁇ , the parameters are: [0.82,0.9,0.0,0.3,0.6] .
  • the similarity between the recipe vector and the parameters is 0.705, that is, user B's preference for spicy fried onions is 0.705.
  • the recipe vector is [1.0,0.5,1.0,0.5,0.25].
  • the preference value set of user B is: ⁇ spicy: 0.82, spicy: 0.9, onion: 0.0, root: 0.3, vegetable: 0.6 ⁇ , the parameters are: [0.82,0.9,0.0,0.3,0.6] .
  • the similarity between the recipe vector and the parameters is 0.705, that is, user B's preference for spicy fried onions is 0.705.
  • the target electronic recipe with a similarity greater than 0.7 is used as the target electronic recipe, then the spicy fried onion is used as the target electronic recipe.
  • FIG. 6 is a schematic structural diagram of an object parameter determination device provided by an embodiment of the present disclosure. As shown in FIG. 6, the device specifically includes:
  • An acquisition module 61 configured to acquire a set of trigger operations of the object on the first electronic recipe set within a preset time period
  • a processing module 62 configured to analyze and process the first electronic recipe set from multiple dimensions to obtain multiple sub-information corresponding to the first electronic recipe set;
  • the determining module 63 is configured to use the set of trigger operations to determine a preference value corresponding to each sub-information for each sub-information, and obtain a set of preference values corresponding to multiple sub-information.
  • the object parameter determination device provided in this embodiment can be the object parameter determination device as shown in Figure 6, which can perform all the steps of the object parameter determination method in Figure 1-2, and then realize the method shown in Figure 1-2.
  • the technical effect of the method for determining the parameters of an object please refer to the related descriptions in FIG. 1-2 for details, which are not described here for brevity.
  • FIG. 7 is a schematic structural diagram of a device for determining parameters of an electronic recipe provided by an embodiment of the present disclosure. As shown in FIG. 7 , the device specifically includes:
  • An acquisition module 71 configured to acquire a set of trigger operations of the object on the first electronic recipe set within a preset time period
  • the processing module 72 is used to analyze and process the first electronic recipe set from multiple dimensions to obtain multiple sub-information corresponding to the first electronic recipe set;
  • the determining module 73 is configured to use the set of trigger operations to determine a preference value corresponding to each sub-information for each sub-information, and obtain a set of preference values corresponding to multiple sub-information.
  • the electronic recipe parameter determination device provided in this embodiment can be the electronic recipe parameter determination device as shown in FIG. 7, and can perform all the steps of the electronic recipe parameter determination method in FIG.
  • the technical effect of the method for determining the parameters of the electronic recipe shown in 4 please refer to the relevant descriptions in FIGS.
  • the embodiment of the present disclosure also provides a device for recommending a target electronic recipe, and the device specifically includes:
  • An acquisition module configured to acquire a second electronic recipe collection
  • the obtaining module is also used to obtain the parameters of the object
  • a determining module configured to determine a first label and a second label corresponding to the second electronic recipe for any second electronic recipe in the second electronic recipe set; determine a first weight corresponding to the first label , and the second weight corresponding to the second label;
  • the determining module is further configured to determine a recipe vector of the second electronic recipe based on the first label, the first weight, the second label and the second weight; determine the recipe vector and the The similarity of the parameters is obtained to obtain the similarity set corresponding to the second electronic recipe set;
  • the determining module is further configured to select part or all of the second electronic recipes from the second electronic recipe set as the target electronic recipe based on the similarity set;
  • a push module configured to push the target electronic recipe to the target device.
  • FIG. 8 is a schematic structural diagram of a cooking device provided by an embodiment of the present disclosure.
  • the cooking device 800 shown in FIG. 8 includes: at least one processor 801 , a memory 802 , at least one network interface 804 and other user interfaces 803 .
  • the various components in cooking device 800 are coupled together via bus system 805. It can be understood that the bus system 805 is used to realize connection and communication between these components.
  • the bus system 805 also includes a power bus, a control bus and a status signal bus.
  • the various buses are labeled as bus system 805 in FIG. 8 for clarity of illustration.
  • the user interface 803 may include a display, a keyboard, or a pointing device (for example, a mouse, a trackball (trackball), a touch panel, or a touch screen, and the like.
  • a pointing device for example, a mouse, a trackball (trackball), a touch panel, or a touch screen, and the like.
  • the memory 802 in the embodiment of the present disclosure may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories.
  • the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electronically programmable Erase Programmable Read-Only Memory (Electrically EPROM, EEPROM) or Flash.
  • the volatile memory can be Random Access Memory (RAM), which acts as external cache memory.
  • RAM Static Random Access Memory
  • SRAM Static Random Access Memory
  • DRAM Dynamic Random Access Memory
  • Synchronous Dynamic Random Access Memory Synchronous Dynamic Random Access Memory
  • SDRAM double data rate synchronous dynamic random access memory
  • Double Data Rate SDRAM DDRSDRAM
  • enhanced SDRAM ESDRAM
  • Synch link DRAM SLDRAM
  • Direct Memory Bus Random Access Memory Direct Rambus RAM, DRRAM
  • the memory 802 described herein is intended to include, but is not limited to, these and any other suitable types of memory.
  • the memory 802 stores the following elements, executable units or data structures, or a subset thereof, or an extension thereof: an operating system 8021 and an application program 8022 .
  • the operating system 8021 includes various system programs, such as framework layer, core library layer, driver layer, etc., for realizing various basic services and processing tasks based on hardware.
  • the application program 8022 includes various application programs, such as a media player (Media Player), a browser (Browser), etc., and is used to realize various application services. Programs for realizing the methods of the embodiments of the present disclosure may be included in the application program 8022 .
  • the processor 801 by calling the programs or instructions stored in the memory 802, in some embodiments, it may be the programs or instructions stored in the application program 8022, the processor 801 is used to execute the methods provided in each method embodiment Steps include, for example:
  • the second electronic recipe set acquire the parameters of the object; for any second electronic recipe in the second electronic recipe set, determine the first tag and the second tag corresponding to the second electronic recipe; determine the first a first weight corresponding to a tag, and a second weight corresponding to the second tag; determining the second weight based on the first tag, the first weight, the second tag, and the second weight
  • the recipe vector of the recipe determine the similarity between the recipe vector and the parameter, and obtain the similarity set corresponding to the second electronic recipe set; select a part or All the second electronic recipes are used as target electronic recipes; and the target electronic recipes are pushed to the target device.
  • a set of triggering operations of an object for a first set of electronic recipes is acquired; parameters of the object are determined by using the first set of electronic recipes and the set of triggering operations.
  • the detection object triggers an operation on the first electronic recipe in the first electronic recipe set
  • the trigger operation includes at least one of the following: click to view, save, add to the basket, add to a cooking plan, Cooking operation or sharing operation; the trigger operation and operation times of the object on the first electronic recipe set in the first electronic recipe set within a preset time period are taken as the trigger operation set.
  • the initial value of the sub-information is determined by using the trigger operation, the number of operations, the weight corresponding to the sub-information, the time decay coefficient corresponding to the sub-information, and the importance of the sub-information. Preference value; normalize the initial preference value to obtain the preference value corresponding to the sub-information; perform vectorization processing on the obtained preference value set; use the vectorized preference value set as the parameters of the object described.
  • all the second electronic recipes in the second electronic recipe set are sorted based on the similarity set; part or all of the second electronic recipes are selected from all the sorted second electronic recipes
  • the second electronic recipe is used as the target electronic recipe; or, based on the similarity set, the second electronic recipe with a similarity greater than a set threshold is selected from the second electronic recipe set as the target electronic recipe.
  • the first label is the parent label of the second label
  • the second label includes one or more levels of labels; the corresponding weight of the second label and the first label , or the corresponding weights between the multi-level tags in the second tag decay step by step.
  • Obtain a second electronic recipe set ; acquire the parameters of the object; for any second electronic recipe in the second electronic recipe set, determine the similarity between the second electronic recipe and the parameters, and obtain the second electronic recipe The similarity set corresponding to the recipe set.
  • the processor 801 by calling the programs or instructions stored in the memory 802, in some embodiments, it may be the programs or instructions stored in the application program 8022, the processor 801 is used to execute the methods provided in each method embodiment Steps include, for example:
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient; when it is determined that the target ingredient has been added, Acquiring weight information of the target ingredient; determining a cooking strategy for the target ingredient according to the weight information and the standard weight value; cooking the target ingredient according to the cooking strategy.
  • the cooking strategy of the target ingredient is the first cooking strategy, wherein the first weight threshold and The second weight threshold is determined by the standard weight value that is greater than the first weight threshold and less than the second weight threshold.
  • the target ingredient is determined
  • the cooking strategy of is the second cooking strategy.
  • the first weight threshold, the second weight threshold, the third weight threshold and the fourth weight threshold are determined by the type of the target food material and the corresponding standard weight value .
  • the cooking device when the weight information is less than a third weight threshold, or when the weight information is greater than a fourth weight threshold, it is determined that the cooking strategy is a third cooking strategy, and the third weight threshold and the The fourth weight threshold is determined by the standard weight value; when the cooking strategy is the third cooking strategy, the cooking device is controlled to switch cooking modes.
  • the cooking device when the cooking strategy is the first cooking strategy, the cooking device is controlled to cook the target ingredient according to the target cooking electronic recipe.
  • the target seasoning information and target cooking time in the target electronic recipe are obtained; for the target seasoning information, based on the weight information, The first weight threshold and the third weight threshold update the target seasoning information, or, based on the weight information, the second weight threshold, and the fourth weight threshold, update the target seasoning information Update to obtain preset seasoning information; for the target seasoning information, update the target cooking time based on the weight information, the first weight threshold, and the third weight threshold, or, based on the weight information , the second weight threshold, and the fourth weight threshold update the target cooking time to obtain a preset cooking time; control the cooking device to set the target cooking time according to the preset seasoning information and the preset cooking time ingredients for cooking.
  • the control cooking device when the preset seasoning information is greater than or equal to the fifth weight threshold and less than or equal to the sixth weight threshold, the control cooking device is executed according to the preset seasoning information and the preset cooking time.
  • a step of cooking the target food material when the preset seasoning information is less than the fifth weight threshold or greater than the sixth weight threshold, controlling the cooking device to switch cooking modes.
  • the methods disclosed in the foregoing embodiments of the present disclosure may be applied to the processor 801 or implemented by the processor 801 .
  • the processor 801 may be an integrated circuit chip and has a signal processing capability. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 801 or instructions in the form of software.
  • the above-mentioned processor 801 may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a ready-made programmable gate array (Field Programmable Gate Array, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
  • a general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.
  • the steps of the methods disclosed in the embodiments of the present disclosure may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software units in the decoding processor.
  • the software unit may be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register.
  • the storage medium is located in the memory 802, and the processor 801 reads the information in the memory 802, and completes the steps of the above method in combination with its hardware.
  • the processing unit can be implemented in one or more application specific integrated circuits (Application Specific Integrated Circuits, ASIC), digital signal processor (Digital Signal Processing, DSP), digital signal processing device (DSPDevice, DSPD), programmable logic Equipment (Programmable Logic Device, PLD), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic devices for performing the functions described in this application unit or its combination.
  • ASIC Application Specific Integrated Circuits
  • DSP Digital Signal Processing
  • DSPDevice digital signal processing device
  • PLD programmable logic Equipment
  • Field-Programmable Gate Array Field-Programmable Gate Array
  • FPGA Field-Programmable Gate Array
  • the electronic device provided in this embodiment may be a cooking device as shown in FIG. 8, which can execute all the steps of the cooking control method shown in FIG. 1-5, and then realize the technical effect of the cooking control method shown in FIG. 1-5. Specifically Please refer to the relevant descriptions in FIGS. 1-5 , which are not described here for brevity.
  • FIG. 9 is a schematic structural diagram of a terminal device provided by an embodiment of the present disclosure.
  • the terminal device 900 shown in FIG. 9 includes: at least one processor 901 , a memory 902 , at least one network interface 904 and other user interfaces 903 .
  • Various components in the terminal device 900 are coupled together through a bus system 905 .
  • the bus system 905 is used to realize connection and communication between these components.
  • the bus system 905 also includes a power bus, a control bus and a status signal bus.
  • the various buses are labeled as bus system 905 in FIG. 9 for clarity of illustration.
  • the user interface 903 may include a display, a keyboard, or a pointing device (for example, a mouse, a trackball (trackball), a touch panel, or a touch screen, and the like.
  • a pointing device for example, a mouse, a trackball (trackball), a touch panel, or a touch screen, and the like.
  • the memory 902 in the embodiment of the present disclosure may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories.
  • the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electronically programmable Erase Programmable Read-Only Memory (Electrically EPROM, EEPROM) or Flash.
  • the volatile memory can be Random Access Memory (RAM), which acts as external cache memory.
  • RAM Static Random Access Memory
  • SRAM Static Random Access Memory
  • DRAM Dynamic Random Access Memory
  • Synchronous Dynamic Random Access Memory Synchronous Dynamic Random Access Memory
  • SDRAM double data rate synchronous dynamic random access memory
  • Double Data Rate SDRAM DDRSDRAM
  • enhanced SDRAM ESDRAM
  • Synch link DRAM SLDRAM
  • Direct Memory Bus Random Access Memory Direct Rambus RAM, DRRAM
  • the memory 902 described herein is intended to include, but is not limited to, these and any other suitable types of memory.
  • the memory 902 stores the following elements, executable units or data structures, or a subset thereof, or an extension thereof: an operating system 9021 and an application program 9022 .
  • the operating system 9021 includes various system programs, such as framework layer, core library layer, driver layer, etc., for realizing various basic services and processing hardware-based tasks.
  • the application program 9022 includes various application programs, such as a media player (Media Player), a browser (Browser), etc., and is used to realize various application services. Programs for implementing the methods of the embodiments of the present disclosure may be included in the application program 9022 .
  • the processor 901 by calling the programs or instructions stored in the memory 902, in some embodiments, the programs or instructions stored in the application program 9022, the processor 901 is used to execute the methods provided in each method embodiment Steps include, for example:
  • the second electronic recipe set acquire the parameters of the object; for any second electronic recipe in the second electronic recipe set, determine the first tag and the second tag corresponding to the second electronic recipe; determine the first a first weight corresponding to a tag, and a second weight corresponding to the second tag; determining the second weight based on the first tag, the first weight, the second tag, and the second weight
  • the recipe vector of the recipe determine the similarity between the recipe vector and the parameter, and obtain the similarity set corresponding to the second electronic recipe set; select a part or All the second electronic recipes are used as target electronic recipes; and the target electronic recipes are pushed to the target device.
  • a set of triggering operations of an object for a first set of electronic recipes is acquired; parameters of the object are determined by using the first set of electronic recipes and the set of triggering operations.
  • the detection object triggers an operation on the first electronic recipe in the first electronic recipe set
  • the trigger operation includes at least one of the following: click to view, save, add to the basket, add to a cooking plan, Cooking operation or sharing operation; the trigger operation and operation times of the object on the first electronic recipe set in the first electronic recipe set within a preset time period are taken as the trigger operation set.
  • the initial value of the sub-information is determined by using the trigger operation, the number of operations, the weight corresponding to the sub-information, the time decay coefficient corresponding to the sub-information, and the importance of the sub-information. Preference value; normalize the initial preference value to obtain the preference value corresponding to the sub-information; perform vectorization processing on the obtained preference value set; use the vectorized preference value set as the parameters of the object described.
  • all the second electronic recipes in the second electronic recipe set are sorted based on the similarity set; part or all of the second electronic recipes are selected from all the sorted second electronic recipes
  • the second electronic recipe is used as the target electronic recipe; or, based on the similarity set, the second electronic recipe with a similarity greater than a set threshold is selected from the second electronic recipe set as the target electronic recipe.
  • the first label is the parent label of the second label
  • the second label includes one or more levels of labels; the corresponding weight of the second label and the first label , or the corresponding weights between the multi-level tags in the second tag decay step by step.
  • Obtain a second electronic recipe set ; acquire the parameters of the object; for any second electronic recipe in the second electronic recipe set, determine the similarity between the second electronic recipe and the parameters, and obtain the second electronic recipe The similarity set corresponding to the recipe set.
  • the methods disclosed in the foregoing embodiments of the present disclosure may be applied to the processor 901 or implemented by the processor 901 .
  • the processor 901 may be an integrated circuit chip and has a signal processing capability. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 901 or instructions in the form of software.
  • the above-mentioned processor 901 may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a ready-made programmable gate array (Field Programmable Gate Array, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
  • a general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.
  • the steps of the methods disclosed in the embodiments of the present disclosure may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software units in the decoding processor.
  • the software unit may be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register.
  • the storage medium is located in the memory 902, and the processor 901 reads the information in the memory 902, and completes the steps of the above method in combination with its hardware.
  • the processing unit can be implemented in one or more application specific integrated circuits (Application Specific Integrated Circuits, ASIC), digital signal processor (Digital Signal Processing, DSP), digital signal processing device (DSPDevice, DSPD), programmable logic Equipment (Programmable Logic Device, PLD), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic devices for performing the functions described in this application unit or its combination.
  • ASIC Application Specific Integrated Circuits
  • DSP Digital Signal Processing
  • DSPDevice digital signal processing device
  • PLD programmable logic Equipment
  • Field-Programmable Gate Array Field-Programmable Gate Array
  • FPGA Field-Programmable Gate Array
  • FIG. 10 is a schematic flowchart of a cooking control method provided by an embodiment of the present disclosure. As shown in FIG. 10 , the method specifically includes:
  • the cooking control method provided by the embodiments of the present disclosure is applied to cooking equipment.
  • the cooking equipment may be a fully automatic frying pan.
  • the cooking equipment is provided with a pot body for placing ingredients and seasonings.
  • the cooking device is provided with a weighing module. The weighing module is used to weigh the ingredients placed in the pot.
  • the weight information of the target ingredient is obtained.
  • the target ingredient can be a certain ingredient in the target electronic recipe, and the standard weight value of the target ingredient is set in the target ingredient.
  • the standard weight value in the electronic cookbook can control the cooking process of cooking food from target ingredients.
  • the target electronic recipe is braised pork ribs
  • the target food material is pork ribs
  • the weight information of the pork ribs is: 130g.
  • the target electronic recipe is set with a standard weight value of the target ingredient
  • the cooking strategy for the target ingredient is obtained by comparing the standard weight value with the weight information of the target ingredient obtained by weighing.
  • the adjustment of the cooking parameter during the cooking process of the target ingredient, the cooking parameter can be understood as: seasoning information and cooking time, for example, adjusting the amount of seasoning during the cooking process, or adjusting the cooking time during the cooking process, etc.
  • the amount of seasoning is increased and the cooking time is increased at the same time.
  • the amount of seasoning is reduced, and the cooking time is reduced at the same time.
  • the cooking device cooks the target ingredients according to the obtained cooking strategy, and adjusts the cooking parameters (seasoning information and cooking time) during the cooking process to realize intelligent cooking.
  • the cooking control method provided by the embodiments of the present disclosure obtains the weight information of the target ingredient; determines the cooking strategy of the target ingredient according to the weight information; The ingredients are cooked to dynamically adjust the cooking process according to the weight information of the target ingredients to improve the cooking effect.
  • Fig. 11 is a schematic flowchart of another cooking control method provided by an embodiment of the present disclosure. As shown in Fig. 11, the method specifically includes:
  • the target electronic recipe is an electronic recipe for cooking a target ingredient
  • the target electronic recipe includes a standard weight value corresponding to the target ingredient.
  • the target electronic recipe includes the target ingredients, and the cooking is mainly performed on the target ingredients.
  • Parameters such as auxiliary ingredients, seasoning information, cooking time, etc.
  • the cooking device stores an electronic recipe list, and by displaying the electronic recipe list on the display panel of the cooking device, the user selects an electronic recipe from the electronic recipe list as a target electronic recipe.
  • an electronic recipe catalog is stored on the remote controller of the cooking device.
  • the user selects an electronic recipe from the electronic recipe targets as the target electronic recipe, and the remote controller The device sends the selected target electronic recipe to the cooking device.
  • the cooking device is provided with a weighing module (for example, a gravity sensor).
  • a weighing module for example, a gravity sensor.
  • the user can add target ingredients to the cooking device according to the prompt of the target electronic recipe. Realize weighing the target ingredients added to the cooking equipment, and then obtain the weight information of the target ingredients.
  • the standard weight value of the target ingredient in the target electronic recipe is compared with the weight information of the target ingredient to obtain the cooking strategy of the target ingredient, which can be understood as the adjustment of cooking parameters during the cooking process of the target ingredient , the cooking parameters can be understood as: seasoning information and cooking time, for example, adjusting the amount of seasoning during cooking, or adjusting the cooking time during cooking, and so on.
  • the cooking device cooks the target ingredients according to the obtained cooking strategy, and adjusts the cooking parameters (seasoning information and cooking time) during the cooking process, so as to realize smart cooking.
  • the standard weight value of the target ingredient A is 100g
  • the weight information of the target ingredient A is 130g
  • the cooking strategy may be: increase the salt by 2g, and increase the cooking time by 5s.
  • the standard weight value of the target ingredient A is 100g, and the weight information of the target ingredient A is 80g.
  • the cooking strategy may be: reduce the salt by 1.5g, and reduce the cooking time by 1s.
  • the cooking control method provided by the embodiments of the present disclosure obtains a target electronic recipe, the target electronic recipe is an electronic recipe for cooking the target ingredients, and the target electronic recipe contains the The standard weight value corresponding to the target ingredient; when it is determined that the target ingredient has been added, obtain the weight information of the target ingredient; determine the cooking strategy of the target ingredient according to the weight information and the standard weight value; according to the The cooking strategy cooks the target ingredients, so as to dynamically adjust the cooking process according to the weight information of the target ingredients and improve the cooking effect.
  • the first weight threshold corresponding to the standard weight value, the second weight threshold, and the second weight threshold corresponding to the standard weight value are preset.
  • Weight threshold, third weight threshold and fourth weight threshold (wherein, the standard weight value is greater than the first weight threshold and less than the second weight threshold, the third weight threshold is less than the first weight threshold, and the fourth weight threshold is greater than the second weight threshold) , and use the standard weight value, the first weight threshold, the second weight threshold, the third weight threshold and the fourth weight threshold to determine the cooking strategy of the target ingredients, thereby realizing intelligent cooking.
  • the first weight threshold may be: 90g
  • the second weight threshold may be 110g
  • the third weight threshold may be 70g
  • the fourth weight threshold may be 300g .
  • the corresponding threshold in addition to using weight as the judgment standard, can also be delineated in the form of proportion, and then the cooking strategy can be determined.
  • the two are essentially the same, and can be set according to actual needs. Alternatively, this embodiment does not specifically limit it.
  • the judgment is made based on the ratio of the information to the standard value.
  • the standard value is 100%
  • the first threshold can be: 90%
  • the second threshold can be 110%
  • the third threshold can be 70%
  • the fourth threshold may be 300%.
  • Fig. 12 is a schematic flowchart of another cooking control method provided by an embodiment of the present disclosure. As shown in Fig. 12, the method specifically includes:
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient.
  • S81-S82 are similar to S71-S72 in FIG. 11 .
  • S71-S72 are similar to S71-S72 in FIG. 11 .
  • S81-S82 are similar to S71-S72 in FIG. 11 .
  • FIG. 11 For details, refer to the relevant description in FIG. 11 , and for the sake of brevity, details are not repeated here.
  • the preset first weight threshold and second weight threshold are not much different from the standard weight value, so the range from the first weight threshold to the second weight threshold can be understood as the allowable fluctuation of the standard weight value range, that is, the weight information falling into this range can be understood as close to the standard weight value, and it can be cooked with the cooking parameters corresponding to the standard weight value (when the weight information is close to the standard weight value, the standard weight value is used
  • the corresponding cooking parameters execute the cooking of the target ingredient corresponding to the weight information, which can obtain basically the same effect as the target electronic recipe).
  • the cooking strategy of the target ingredient is determined to be the first A cooking strategy, that is, the target ingredients of the weight information can be cooked using the preset cooking parameters in the target electronic recipe.
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes the standard weight value corresponding to the target ingredient;
  • the target ingredient is added, the weight information of the target ingredient is acquired; when the weight information is greater than or equal to the first weight threshold and less than or equal to the second weight threshold, it is determined that the cooking strategy of the target ingredient is the first cooking strategy,
  • the cooking device is controlled to cook the target ingredients according to the target cooking electronic recipe, and when the weight information is close to the standard weight value, use the cooking parameters corresponding to the standard weight value
  • the cooking of the target ingredients corresponding to the weight information can obtain basically the same effect as the target electronic recipe.
  • Fig. 13 is a schematic flowchart of another cooking control method provided by an embodiment of the present disclosure. As shown in Fig. 13 , the method specifically includes:
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient.
  • S91-S92 are similar to S71-S72 in FIG. 11 .
  • S91-S92 are similar to S71-S72 in FIG. 11 .
  • S91-S92 are similar to S71-S72 in FIG. 11 .
  • FIG. 11 For details, refer to the relevant description in FIG. 11 , and for the sake of brevity, details are not repeated here.
  • the weight information is greater than or equal to the third weight threshold and less than the first weight threshold, or the weight information is greater than the second weight threshold and less than or equal to the fourth weight threshold, determine the cooking strategy of the target ingredient for the second cooking strategy.
  • the first weight threshold, the second weight threshold, the third weight threshold and the fourth weight threshold are determined by the type of the target food material and the corresponding standard weight value.
  • the preset third weight threshold and fourth weight threshold are quite different from the standard weight value, so the range consisting of the third weight threshold and the first weight threshold (this range can be understood as the weight reduction of the target ingredients stage), and the range consisting of the second weight threshold and the fourth weight threshold (this range can be understood as the target material weight increase stage) can be understood as a relatively large floating range of weight information relative to the standard weight value, that is, The weight information falling within this range can be understood as having a large fluctuation with the standard weight value, therefore, it is necessary to adjust the cooking parameters corresponding to the standard weight value.
  • the cooking strategy of the target ingredient is the second cooking strategy.
  • one or more target ingredients may be included in an electronic recipe, and the standard weight values of different types of target ingredients may be the same or different. Therefore, the corresponding first weight threshold, second weight threshold, and third weight threshold The threshold and the fourth weight threshold need to be determined according to the type of target ingredients.
  • the target electronic recipe includes cooking parameters in addition to the target ingredients.
  • the cooking parameters can be target seasoning information and target cooking time.
  • the cooking strategy is determined to be the second cooking strategy, it is obtained from the target electronic recipe.
  • Target seasoning information and target cooking time and using a preset formula to update the target seasoning information and target cooking time according to the weight information, the first weight threshold, and the second weight threshold, to obtain the preset seasoning information and the preset cooking time.
  • the preset seasoning information is determined by the following formula:
  • M is the preset seasoning information
  • N is the weight information
  • N1 is the standard weight value
  • N2 is the first weight threshold
  • N3 is the third weight threshold
  • N2 is the fourth weight threshold and N3 is the second weight threshold
  • K 1 is a constant
  • b is the target seasoning information
  • the preset cooking time is determined by the following formula:
  • H is the preset cooking information
  • N is the weight information
  • N1 is the standard weight value
  • N2 is the first weight threshold
  • N3 is the third weight threshold
  • N2 is the fourth weight threshold
  • N3 is the first Two weight thresholds
  • K2 is a constant
  • d is the target cooking time.
  • the target seasoning information in the target electronic recipe includes: salt (10g), soy sauce (10g), the cooking time includes: 600s, the target ingredient weight information is: 130g, the standard weight value is 100g, the second The weight threshold is 110g, the fourth weight threshold is 150g, K1 is 10 (salt) or 3 (soy sauce), and K2 is 600.
  • the preset seasoning information (salt) is:
  • the preset seasoning information (soy sauce) is:
  • the preset cooking information (cooking time) is:
  • the control cooking device when the preset seasoning information is greater than or equal to the fifth weight threshold and less than or equal to the sixth weight threshold, the control cooking device is executed according to the preset seasoning information and the preset weight threshold.
  • the fifth weight threshold and the sixth weight threshold are set in this embodiment, and the fifth weight threshold is used to characterize the corresponding minimum value in the seasoning reduction stage, that is, after the calculation of S95, The update value of the target seasoning information cannot exceed the fifth weight threshold; the sixth weight threshold is used to represent the maximum value corresponding to the seasoning increment stage, that is, after the calculation of S95, the update value of the target seasoning information cannot exceed Sixth weight threshold.
  • the seasoning is reduced, and the fifth weight threshold can be 3g, that is, the target ingredient is in the reducing stage, the seasoning cannot be lower than 3g, and when it is lower than 3g, the cooking device is controlled to execute Switching of cooking mode (for example, switching from automatic cooking to manual cooking);
  • the sixth weight threshold may be 20g for the seasoning increment, that is, the target food material is in the increasing phase, the seasoning cannot be higher than 20g, and when it is higher than 20g, the cooking device is controlled to execute the cooking mode switching (for example, switching from automatic cooking to manual cooking).
  • the calculated seasoning is greater than or equal to 3g, or, in the stage of increasing the weight of the target ingredient, the calculated seasoning is less than or equal to 20g, then execute the cooking steps of the target ingredient according to the calculated amount of seasoning.
  • the maximum positive adjustment can be understood as adjusting the maximum increase in the weight increase stage of the target ingredient (for example, salt up to +10g); the maximum reverse adjustment can be understood as the increase in the weight of the target ingredient During the weight reduction phase, adjust the maximum reduction (for example, table salt max -10g).
  • the cooking device involved in this embodiment is provided with a plurality of material boxes, each material box is used to hold a condiment, and during the cooking process of the cooking device for the target material, the automatic The material box is controlled to realize automatic addition of seasoning, and the amount of seasoning added can be determined through S95.
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient;
  • the cooking strategy of the target ingredient is the second cooking strategy , when the cooking strategy is the second cooking strategy, acquiring target seasoning information and target cooking duration in the target electronic recipe, based on the weight information, the first weight threshold, and the third weight threshold Updating the target seasoning information and the target cooking time to obtain preset seasoning information and preset cooking time, or, based on the weight information, the second weight threshold, and the fourth weight threshold for the
  • the target seasoning information and the target cooking time are updated to obtain the preset seasoning information and the preset cooking time, and the cooking equipment is controlled to cook the target ingredients according to the preset seasoning information and the preset cooking time.
  • Fig. 14 is a schematic flowchart of another cooking control method provided by an embodiment of the present disclosure. As shown in Fig. 14, the method specifically includes:
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient.
  • S101-S102 are similar to S71-S72 in FIG. 11 .
  • S71-S72 in FIG. 11 .
  • S101-S102 are similar to S71-S72 in FIG. 11 .
  • FIG. 11 For details, refer to the related description in FIG. 11 , and for the sake of brevity, details are not repeated here.
  • the preset third weight threshold and fourth weight threshold are quite different from the standard weight value, so the range composed of the third weight threshold (this range can be understood as the target material weight reduction stage), and the The range of the fourth weight threshold (this range can be understood as the stage of weight increase of the target food material) can be understood as a large floating range of weight information relative to the standard weight value, that is, the weight information falling into this range can be understood Because there is a large fluctuation with the standard weight value, it is necessary to switch the cooking mode of the cooking device.
  • the weight information when the weight information is less than the third weight threshold, or when the weight information is greater than the fourth weight threshold, it indicates that there is a large fluctuation between the weight information and the standard weight value, and it is determined that the weight information
  • the cooking strategy is a third cooking strategy, and the third cooking strategy is used to represent switching of cooking modes.
  • the cooking device when the cooking strategy is determined to be the third cooking strategy, the cooking device is controlled to switch the cooking mode, that is, the automatic cooking mode is switched to the manual cooking mode, and after switching to the manual mode, during the cooking process Generate reminder messages at each stage to remind users to perform operations corresponding to the reminder messages, for example, when the cooking time is 10s, remind the user to add soy sauce; when the cooking time is 500s, remind the user to add salt, in manual cooking mode Next, remind that the amount of seasoning information (salt, soy sauce, etc.) to be added needs to be set according to the user's needs.
  • seasoning information salt, soy sauce, etc.
  • the first option includes manual adding After modifying the target electronic recipe by reducing the seasoning information, switch to the automatic cooking mode; the second option is to switch directly to the manual cooking mode, and the electronic recipe will become invalid, and the user will do manual cooking according to the personalized choice, including manual addition. Seasoning information, manual operation of cooking equipment, etc., and finally complete the cooking of the target ingredients.
  • one of the first electronic recipe and the second electronic recipe can be selected as the target electronic recipe, and then the The standard weight value, the first weight threshold, the second weight threshold, the third weight threshold and the fourth weight threshold corresponding to the target ingredients in the target electronic recipe and the corresponding cooking strategies are moved to another recipe.
  • the target electronic recipe is: braised pork ribs
  • the standard weight value of pork ribs is 100g
  • the standard weight value of table salt is 10g
  • the standard weight value of soy sauce is 10g
  • the cooking time is 600S
  • the first weight threshold is 90g
  • the second weight threshold is 110g
  • the third The weight threshold is 70g
  • the fourth weight threshold is 150g.
  • the weight information of the ribs is 130g, and the weight information is greater than the second weight threshold and less than or equal to the fourth weight threshold, then the cooking strategy of the target ingredient is the second cooking strategy.
  • the preset seasoning information and the preset cooking seasoning are specifically:
  • the default seasoning information (salt) is:
  • the preset seasoning information (soy sauce) is:
  • the preset cooking information (cooking time) is:
  • the cooking equipment will control the amount of salt added to the material box containing salt from 10g to 13.75g, control the amount of soy sauce added to the material box containing soy sauce from 10g to 12.25g, and control Cooking time switched from 600s to 1050s.
  • the target electronic recipe is: braised pork ribs
  • the standard weight value of pork ribs is 100g
  • the standard weight value of table salt is 10g
  • the standard weight value of soy sauce is 10g
  • the cooking time is 600S
  • the first weight threshold is 90g
  • the second weight threshold is 110g
  • the third The weight threshold is 70g
  • the fourth weight threshold is 150g.
  • the weight information of the ribs is 95g, and the weight information is greater than or equal to the third weight threshold and less than the first weight threshold, then the cooking strategy of the target ingredient is the second cooking strategy.
  • the preset seasoning information and the preset cooking seasoning are specifically:
  • the default seasoning information (salt) is:
  • the preset seasoning information (soy sauce) is:
  • the preset cooking information (cooking time) is:
  • the cooking equipment will control the amount of salt added to the material box containing salt from 10g to 7.75g, control the amount of soy sauce added to the material box containing soy sauce from 10g to 9.25g, and control Cooking time switched from 600s to 450s.
  • the target electronic recipe is: braised pork ribs
  • the standard weight value of pork ribs is 100g
  • the standard weight value of table salt is 10g
  • the standard weight value of soy sauce is 10g
  • the cooking time is 600S
  • the first weight threshold is 90g
  • the second weight threshold is 110g
  • the third The weight threshold is 70g
  • the fourth weight threshold is 150g.
  • the weight information of the ribs is 105g, and the weight information is greater than or equal to the first weight threshold and less than or equal to the second weight threshold, then the cooking strategy of the target ingredient is the first cooking strategy;
  • the cooking equipment will control the material box containing salt to add 10g of salt, control the material box containing soy sauce to add 10g of soy sauce, and control the cooking time to 600s.
  • the target electronic recipe is: braised pork ribs
  • the standard weight value of pork ribs is 100g
  • the standard weight value of table salt is 10g
  • the standard weight value of soy sauce is 10g
  • the cooking time is 600S
  • the first weight threshold is 90g
  • the second weight threshold is 110g
  • the third The weight threshold is 70g
  • the fourth weight threshold is 150g.
  • the weight information of the ribs is 65g, and the weight information is less than or equal to the third weight threshold, then the cooking strategy of the target ingredient is the third cooking strategy;
  • the cooking device is controlled to switch the cooking mode from the automatic cooking mode to the manual cooking mode.
  • the target electronic recipe is: braised pork ribs
  • the standard weight value of pork ribs is 100g
  • the standard weight value of table salt is 10g
  • the standard weight value of soy sauce is 10g
  • the cooking time is 600s
  • the first weight threshold is 90g
  • the second weight threshold is 110g
  • the third The weight threshold is 70g
  • the fourth weight threshold is 150g.
  • the weight information of the ribs is 200g, and the weight information is greater than or equal to the fourth weight threshold, then the cooking strategy of the target ingredient is the third cooking strategy;
  • the cooking device is controlled to switch the cooking mode from the automatic cooking mode to the manual cooking mode.
  • Fig. 15 is a schematic structural diagram of a cooking control device provided by an embodiment of the present disclosure. As shown in Fig. 15, the device specifically includes:
  • the first acquiring module 601 is configured to acquire a target electronic recipe, the target electronic recipe is an electronic recipe for cooking a target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient;
  • the second acquiring module 602 is configured to acquire weight information of the target ingredient when it is determined that the target ingredient has been added;
  • a determining module 603, configured to determine a cooking strategy for the target ingredient according to the weight information and the standard weight value
  • a control module 604 configured to cook the target ingredient according to the cooking strategy.
  • the electronic device provided in this embodiment can be a cooking control device as shown in FIG. 15, which can execute all the steps of the cooking control method shown in FIG. 11-14, and then realize the technical effect of the cooking control method shown in FIG. 11-14.
  • FIGS. 11-14 which are not described here for brevity.
  • Fig. 16 is a schematic structural diagram of another cooking control device provided by an embodiment of the present disclosure. As shown in Fig. 16, the device specifically includes:
  • An acquisition module 701 configured to acquire weight information of a target ingredient
  • a determination module 702 configured to determine a cooking strategy for the target food material according to the weight information
  • a control module 703, configured to cook the target food according to the cooking strategy.
  • the electronic device provided in this embodiment can be a cooking control device as shown in Figure 14, which can execute all the steps of the cooking control method shown in Figure 10, and then realize the technical effect of the cooking control method shown in Figure 10, please refer to Figure 10 Relevant descriptions are for brevity and will not be repeated here.
  • the embodiment of the present disclosure also provides a storage medium (computer-readable storage medium).
  • the storage medium here stores one or more programs.
  • the storage medium may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid-state disk; the memory may also include the above-mentioned types of memory combination.
  • One or more programs in the storage medium can be executed by one or more processors, so as to realize the above-mentioned automatic plate-making method executed on the side of the cooking device.
  • the processor is used to execute the program stored in the memory, so as to realize the following steps of the above-mentioned method performed on the side of the cooking device:
  • the second electronic recipe set acquire the parameters of the object; for any second electronic recipe in the second electronic recipe set, determine the first tag and the second tag corresponding to the second electronic recipe; determine the first a first weight corresponding to a tag, and a second weight corresponding to the second tag; determining the second weight based on the first tag, the first weight, the second tag, and the second weight
  • the recipe vector of the recipe determine the similarity between the recipe vector and the parameter, and obtain the similarity set corresponding to the second electronic recipe set; select a part or All the second electronic recipes are used as target electronic recipes; and the target electronic recipes are pushed to the target device.
  • a set of triggering operations of an object for a first set of electronic recipes is acquired; parameters of the object are determined by using the first set of electronic recipes and the set of triggering operations.
  • the detection object triggers an operation on the first electronic recipe in the first electronic recipe set
  • the trigger operation includes at least one of the following: click to view, save, add to the basket, add to a cooking plan, Cooking operation or sharing operation; the trigger operation and operation times of the object on the first electronic recipe set in the first electronic recipe set within a preset time period are taken as the trigger operation set.
  • the initial value of the sub-information is determined by using the trigger operation, the number of operations, the weight corresponding to the sub-information, the time decay coefficient corresponding to the sub-information, and the importance of the sub-information. Preference value; normalize the initial preference value to obtain the preference value corresponding to the sub-information; perform vectorization processing on the obtained preference value set; use the vectorized preference value set as the parameters of the object described.
  • all the second electronic recipes in the second electronic recipe set are sorted based on the similarity set; part or all of the second electronic recipes are selected from all the sorted second electronic recipes
  • the second electronic recipe is used as the target electronic recipe; or, based on the similarity set, the second electronic recipe with a similarity greater than a set threshold is selected from the second electronic recipe set as the target electronic recipe.
  • the first label is the parent label of the second label
  • the second label includes one or more levels of labels; the corresponding weight of the second label and the first label , or the corresponding weights between the multi-level tags in the second tag decay step by step.
  • Obtain a second electronic recipe set ; acquire the parameters of the object; for any second electronic recipe in the second electronic recipe set, determine the similarity between the second electronic recipe and the parameters, and obtain the second electronic recipe The similarity set corresponding to the recipe set.
  • the target electronic recipe is pushed to a target device.
  • the processor is used to execute the cooking control program stored in the memory, so as to realize the following steps of the cooking control method executed on the side of the cooking control device:
  • the target electronic recipe is an electronic recipe for cooking the target ingredient, and the target electronic recipe includes a standard weight value corresponding to the target ingredient; when it is determined that the target ingredient has been added, Acquiring weight information of the target ingredient; determining a cooking strategy for the target ingredient according to the weight information and the standard weight value; cooking the target ingredient according to the cooking strategy.
  • the cooking strategy of the target ingredient is the first cooking strategy, wherein the first weight threshold and The second weight threshold is determined by the standard weight value, and the standard weight value is greater than the first weight threshold and smaller than the second weight threshold; when the cooking strategy is the first cooking strategy, control The cooking device cooks the target ingredients according to the target cooking electronic recipe.
  • the target ingredient is determined
  • the cooking strategy of is the second cooking strategy.
  • the first weight threshold, the second weight threshold, the third weight threshold and the fourth weight threshold are determined by the type of the target food material and the corresponding standard weight value .
  • the cooking device when the weight information is less than a third weight threshold, or when the weight information is greater than a fourth weight threshold, it is determined that the cooking strategy is a third cooking strategy, and the third weight threshold and the The fourth weight threshold is determined by the standard weight value; when the cooking strategy is the third cooking strategy, the cooking device is controlled to switch cooking modes.
  • the cooking device when the cooking strategy is the first cooking strategy, the cooking device is controlled to cook the target ingredient according to the target cooking electronic recipe.
  • the target seasoning information and target cooking time in the target electronic recipe are obtained; for the target seasoning information, based on the weight information, The first weight threshold and the third weight threshold update the target seasoning information, or, based on the weight information, the second weight threshold, and the fourth weight threshold, update the target seasoning information Update to obtain preset seasoning information; for the target seasoning information, update the target cooking time based on the weight information, the first weight threshold, and the third weight threshold, or, based on the weight information , the second weight threshold, and the fourth weight threshold update the target cooking time to obtain a preset cooking time; control the cooking device to set the target cooking time according to the preset seasoning information and the preset cooking time ingredients for cooking.
  • the control cooking device when the preset seasoning information is greater than or equal to the fifth weight threshold and less than or equal to the sixth weight threshold, the control cooking device is executed according to the preset seasoning information and the preset cooking time.
  • a step of cooking the target food material when the preset seasoning information is less than the fifth weight threshold or greater than the sixth weight threshold, controlling the cooking device to switch cooking modes.
  • RAM random access memory
  • ROM read-only memory
  • EEPROM electrically programmable ROM
  • EEPROM electrically erasable programmable ROM
  • registers hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

Abstract

本公开涉及目标电子菜谱的推荐方法、装置、烹饪设备及终端设备，包括：获取第二电子菜谱集合；获取对象的参数；针对第二电子菜谱集合中的任一第二电子菜谱，确定第二电子菜谱对应的第一标签和第二标签；确定第一标签对应的第一权重，以及第二标签对应的第二权重；基于第一标签、第一权重、第二标签和第二权重确定第二电子菜谱的菜谱向量；确定菜谱向量与参数的相似度，得到第二电子菜谱集合对应的相似度集合；基于相似度集合从第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；将目标电子菜谱推送至目标设备，通过用户的偏好程度得到目标电子菜谱，推荐的目标电子菜谱也更符合用户的喜好，提升用户体验。

Description

目标电子菜谱的推荐方法、对象的参数确定方法、电子菜谱的参数确定方法、烹饪设备、终端设备、以及烹饪控制方法和装置
相关申请的引用
本公开要求于2022年3月4日向中华人民共和国国家知识产权局提交的申请号为202210215314.8、名称为“目标电子菜谱的推荐方法、装置、烹饪设备及终端设备”的发明专利申请以及于2022年3月4日向中华人民共和国国家知识产权局提交的申请号为202210215315.2、名称为“烹饪控制方法、装置及烹饪设备”的发明专利申请的全部权益，并通过引用的方式将其全部内容并入本文。
领域
本公开涉及智能电器领域，具体涉及目标电子菜谱的推荐方法、对象的参数确定方法、电子菜谱的参数确定方法、烹饪设备、终端设备、以及烹饪控制方法和装置。
背景
随着电器技术的发展，以及各类烹饪设备在人们日常生活中的广泛应用，为更好地满足用户日益多样化需求，出现了集合多种烹饪模式或设置不同应用功能的一体式烹饪设备。
相关技术中，烹饪设备设置有菜谱推荐功能，向用户推荐的菜谱通过从网络渠道(例如，美食网页、小红书排行榜等等)获取。
为满足人们对于各种烹饪场景的不同需求，使相关的家用电器品类推陈出新，产品从过去的帮你做饭的工具发展到如今教你做饭的智能化伙伴。目前，一部分厨艺不精、工作较忙的人群，对于操作简单、智能化程度高的家电产品越来越感兴趣，比如炒菜机、烹饪机、破壁机、智能电饭煲等产品。
相关技术中，炒菜机在完成菜谱设置后，相应的食材数量、搅拌挡位，火力火候、烹饪时长等都是固定的数值。
概述
第一方面，本公开提供目标电子菜谱的推荐方法，包括：
获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；将所述目标电子菜谱推送至目标设备。
在某些实施方案中，所述获取对象的参数，包括：
获取对象针对第一电子菜谱集合的触发操作集合；
利用所述第一电子菜谱集合和所述触发操作集合确定所述对象的参数。
在某些实施方案中，所述获取对象针对第一电子菜谱集合的触发操作集合，包括：
检测对象对第一电子菜谱集合中第一电子菜谱的触发操作，所述触发操作至少包括以下之一：点击查看操作、收藏操作、加入菜篮子操作、加入烹饪计划操作、烹饪操作或分享操作；
将预设时间段内对象对第一电子菜谱集合中第一电子菜谱的触发操作及操作次数作为触发操作集合。
在某些实施方案中，所述利用所述第一电子菜谱集合和所述触发操作集合确定所述对象的参数，包括：
利用所述触发操作、所述操作次数、所述子信息对应的权重、所述子信息对应的时间衰减系数、所述子信息的重要程度确定所述子信息的初始偏好值；
对所述初始偏好值进行归一化处理，得到所述子信息对应的偏好值；
将得到所述偏好值集合进行向量化处理；
将向量化处理后的所述偏好值集合作为所述对象的参数。
在某些实施方案中，所述基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱，包括：
基于所述相似度集合对所述第二电子菜谱集合中的全部所述第二电子菜谱进行排序；从排序后的全部所述第二电子菜谱中选取部分或全部所述第二电子菜谱作为目标电子菜谱；
或，
基于所述相似度集合，从所述第二电子菜谱集合中选取相似度大于设定阈值的所述第二电子菜谱作为目标电子菜谱。
在某些实施方案中，所述第一标签为所述第二标签的父标签，所述第二标签包括一级或多级标签；所述第二标签与所述第一标签的对应的权重，或所述第二标签中的多级标签之间对应的权重逐级衰减。
第二方面，本公开提供对象的参数确定方法，包括：
获取预设时间段内对象对第一电子菜谱集合的触发操作集合；
从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息；
针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合；
将所述偏好值集合作为所述对象的参数。
第三方面，本公开提供电子菜谱的参数确定方法，包括：
获取第二电子菜谱集合；
获取对象的参数；
针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合。
第四方面，本公开提供烹饪设备，包括：处理器和存储器，所述处理器用于执行所述存储器中存储的对象的参数确定程序，以实现获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；将所述目标电子菜谱推送至目标设备。
第五方面，本公开提供终端设备，包括：处理器和存储器，所述处理器用于执行所述存储器中存储的电子菜谱的参数确定方法程序，以实现获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；将所述目标电子菜谱推送至目标设备。
第六方面，本公开提供烹饪控制方法，包括：
获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；
在确定所述目标食材添加完时，获取所述目标食材的重量信 息；
根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；
按照所述烹饪策略对所述目标食材进行烹饪。
在某些实施方案中，所述根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略，包括：
在所述重量信息大于等于第一重量阈值且小于等于第二重量阈值时，确定所述目标食材的烹饪策略为第一烹饪策略，其中，所述第一重量阈值和所述第二重量阈值由所述标准重量值确定，所述标准重量值大于所述第一重量阈值且小于所述第二重量阈值。
在某些实施方案中，所述按照所述烹饪策略对所述目标食材进行烹饪，包括：
在所述烹饪策略为所述第一烹饪策略时，控制烹饪设备按照所述目标烹饪电子菜谱对所述目标食材进行烹饪。
在某些实施方案中，所述根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略，包括：
在所述重量信息大于等于第三重量阈值且小于第一重量阈值，或，所述重量信息大于第二重量阈值且小于等于第四重量阈值时，确定所述目标食材的烹饪策略为第二烹饪策略。
在某些实施方案中，所述第一重量阈值、所述第二重量阈值、所述第三重量阈值和所述第四重量阈值由所述目标食材的类型及对应的所述标准重量值确定。
在某些实施方案中，所述根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略，包括：
在所述重量信息小于第三重量阈值，或，所述重量信息大于第四重量阈值时，确定所述烹饪策略为第三烹饪策略，所述第三重量阈值和所述第四重量阈值由所述标准重量值确定。
在某些实施方案中，所述按照所述烹饪策略对所述目标食材进行烹饪，包括：
在所述烹饪策略为所述第三烹饪策略时，控制所述烹饪设备 执行烹饪模式的切换。
在某些实施方案中，所述按照所述烹饪策略对所述目标食材进行烹饪，包括：
在所述烹饪策略为所述第二烹饪策略时，获取所述目标电子菜谱中的目标调料信息和目标烹饪时长；
针对所述目标调料信息，基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标调料信息进行更新，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标调料信息进行更新，得到预设调料信息；
针对所述目标调料信息，基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标烹饪时长进行更新，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标烹饪时长进行更新，得到预设烹饪时长；
控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪。
在某些实施方案中，对所述目标调料信息进行更新，包括：
所述目标调料信息根据所述重量信息和所述标准重量值进行线性调整。
在某些实施方案中，所述对所述目标烹饪时长进行更新，包括：
所述目标烹饪时长根据所述重量信息和所述标准重量值进行线性调整。
在某些实施方案中，所述方法还包括：
在所述预设调料信息大于等于第五重量阈值，且小于等于第六重量阈值时，执行所述控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪的步骤；
在所述预设调料信息小于所述第五重量阈值，或大于所述第六重量阈值时，控制所述烹饪设备执行烹饪模式的切换。
第七方面，本公开提供烹饪控制方法，包括：
获取所述目标食材的重量信息；
根据所述重量信息确定所述目标食材的烹饪策略；
按照所述烹饪策略对所述目标食材进行烹饪。
第八方面，本公开提供烹饪控制装置，包括：
第一获取模块，用于获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；
第二获取模块，用于在确定所述目标食材添加完时，获取所述目标食材的重量信息；
确定模块，用于根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；
控制模块，用于按照所述烹饪策略对所述目标食材进行烹饪。
第九方面，本公开提供烹饪控制装置，包括：
获取模块，用于获取所述目标食材的重量信息；
确定模块，用于根据所述重量信息确定所述目标食材的烹饪策略；
控制模块，用于按照所述烹饪策略对所述目标食材进行烹饪。
第十方面，本公开提供烹饪设备，包括：处理器和存储器，所述处理器用于执行所述存储器中存储的程序，以实现：
获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；在确定所述目标食材添加完时，获取所述目标食材的重量信息；根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
第十一方面，本公开提供烹饪设备，包括：处理器和存储器，所述处理器用于执行所述存储器中存储的程序，以实现：
获取所述目标食材的重量信息；根据所述重量信息确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
第十二方面，本公开提供存储介质，所述存储介质存储有一个或者多个程序，所述一个或者多个程序可被一个或者多个处理器执行，以实现：
获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；在确定所述目标食材添加完时，获取所述目标食材的重量信息；根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
第十三方面，本公开提供存储介质，所述存储介质存储有一个或者多个程序，所述一个或者多个程序可被一个或者多个处理器执行，以实现：
获取所述目标食材的重量信息；根据所述重量信息确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
在某些实施方案中，本公开提供的对象的参数确定方案，通过获取预设时间段内对象对第一电子菜谱集合的触发操作集合；从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息；针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合；将所述偏好值集合作为所述对象的参数，通过从多个维度对用户的历史电子菜谱的操作情况进行分析，得到用户对不同维度的子信息的偏爱程度，并将该偏爱程度作为用户的参数信息，便于后续更有针对性的菜谱推荐，推荐的菜谱也更符 合用户的喜好，提升用户体验。
在某些实施方案中，本公开提供的烹饪控制方案，通过获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；在确定所述目标食材添加完时，获取所述目标食材的重量信息；根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪，以实现根据目标食材的重量信息动态调整烹饪过程，提升烹饪效果。
附图的简要说明
图1为本公开实施例提供的一种对象的参数确定方法的流程示意图；
图2为本公开实施例提供的另一种对象的参数确定方法的流程示意图；
图3为本公开实施例提供的电子菜谱的参数确定方法的流程示意图；
图4为本公开实施例提供的确定所述第二电子菜谱与所述参数的相似度的流程示意图；
图5为本公开实施例的目标电子菜谱的推荐方法的流程示意图；
图6为本公开实施例提供的对象的参数确定装置的结构示意图；
图7为本公开实施例提供的电子菜谱的参数确定装置的结构是示意图；
图8为本公开实施例提供的烹饪设备的结构示意图；
图9为本公开实施例提供的终端设备的结构示意图。
图10为本公开实施例提供的一烹饪控制方法的流程示意图；
图11为本公开实施例提供的另一烹饪控制方法的流程示意图；
图12为本公开实施例提供的再一烹饪控制方法的流程示意图；
图13为本公开实施例提供的再一烹饪控制方法的流程示意图；
图14为本公开实施例提供的再一烹饪控制方法的流程示意图；
图15为本公开实施例提供的一烹饪控制装置的结构示意图；以及
图16为本公开实施例提供的另一烹饪控制装置的结构示意图。
详述
为使本公开实施例的目的、技术方案和优点更加清楚，下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本公开一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
为便于对本公开实施例的理解，下面将结合附图对具体实施例做进一步的解释说明，实施例并不构成对本公开的限定。
图1为本公开实施例提供的一种对象的参数确定方法的流程示意图，如图1所示，该方法具体包括：
S11、获取预设时间段内对象对第一电子菜谱集合的触发操作集合。
本公开实施例提供的对象的参数确定方法应用于烹饪设备，该烹饪设备可以是全自动炒菜锅，该烹饪设备设置有显示面板，在该显示面板上可以展示第一电子菜谱集合以及接收对象对第一电子菜谱的触发操作。
在某些实施方案中，检测对象对显示面板上展示的第一电子菜谱集合的触发操作，该触发操作可以包括：烹饪操作、收藏操作、分享操作等等，进而获取预设时间段内对象对第一电子菜谱集合的触发操作集合。
在本实施例中，第一电子菜谱集合可以理解为烹饪设备中存在触发操作的电子菜谱，也即，烹饪设备的全部电子菜谱中被对象触发的电子菜谱。
S12、从多个维度对所述第一电子菜谱集合进行分析处理，得 到所述第一电子菜谱集合对应的多个子信息。
在本实施例中，对第一电子菜谱集合中的第一电子菜谱从多个维度进行分析处理，得到第一电子菜谱集合对应的多个子信息，多个维度可以理解为：电子菜谱对应菜品的口味、食材、菜系、菜式、功效等等。
相应地，子信息可以理解为第一电子菜谱集合对应的维度的统称，对于子信息的划分可根据设定的不同的维度进行确定，对此，本实施例，不作具体限定。
在某些实施方案中，按照多个维度对第一电子菜谱集合中的每个第一电子菜谱进行划分，得到每个第一电子菜谱对应的多个子信息，再将第一电子菜谱集合中的全部第一电子菜谱对应的子信息进行数据统计，得到第一电子菜谱集合对应的多个子信息。
S13、针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合。
S14、将所述偏好值集合作为所述对象的参数。
在本实施例中，针对每个子信息，确定每个子信息对应的一个或多个第一电子菜谱，以及该一个或多个第一电子菜谱对应的触发操作集合中的部分或全部触发操作。
在某些实施方案中，根据该子信息对应的触发操作集合中的部分或全部触发操作，确定该子信息对应的偏好值，进而得到多个子信息对应的偏好值集合，并将该偏好值集合作为对象的参数。
偏好值可以理解为该对象对该子信息的偏爱程度，偏好值集合可以理解为对象在预设时间内针对第一电子菜谱集合对应的多个子信息的偏爱程度。
在某些实施方案中，子信息可以是：辣味，偏好值为：0.9，也即，该用户对辣味偏爱程度为90％；子信息可以是：甜味，偏好值为：0.1，也即，该用户对辣味偏爱程度为10％；通过上述两个子信息可以表征用户的口味为：辣味和甜味，平时更喜欢吃辣味的菜品，通过该信息可以实现更有针对性行的菜谱的推荐。
在某些实施方案中，本公开实施例提供的对象的参数确定方 法，通过获取预设时间段内对象对第一电子菜谱集合的触发操作集合；从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息；针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合；将所述偏好值集合作为所述对象的参数，通过从多个维度对用户的历史电子菜谱的操作情况进行分析，得到用户对不同维度的子信息的偏爱程度，并将该偏爱程度作为用户的参数信息，便于后续更有针对性的菜谱推荐，推荐的菜谱也更符合用户的喜好，提升用户体验。
图2为本公开实施例提供的另一种对象的参数确定方法的流程示意图，如图2所示，该方法具体包括：
S21、检测对象对第一电子菜谱集合中第一电子菜谱的触发操作。
在本实施例中，通过埋点的形式获取对象针对烹饪设备中菜谱的使用情况，同一烹饪设备可能存在多个对象使用的情况，因此，可通过在烹饪设备中安装对象识别模块(例如，摄像头等)对对象的身份进行识别。
通过埋点的形式可实现对某个对象的信息搜集，进而得到该对象在烹饪设备中对电子菜谱的触发操作，将烹饪设备的全部电子菜谱中被对象触发的电子菜谱成为第一电子菜谱，进而得到该对象对应的第一电子菜谱集合。
其中，触发操作至少包括以下之一：点击查看操作、收藏操作、加入菜篮子操作、加入烹饪计划操作、烹饪操作或分享操作。
在某些实施方案中，该触发操作可以理解为：对象在烹饪设备上的触发操作，或与烹饪设备连接的外部设备(例如，烹饪设备的遥控器、智能手机等)上的触发操作。
点击查看操作可以理解为：对象在搜索查询电子菜谱过程中，对电子菜谱的点击以及查看操作，相应地，可设置点击查看操作对应的判断条件，如，在点击进入该电子菜谱的前提下，电子菜谱的 主页面展示时间超过20s，则认为该对象针对该电子菜谱存在点击查看操作。
收藏操作可以理解为：对象将电子菜谱添加至个人收藏中的操作。
加入菜篮子操作可以理解为：对象将电子菜谱对应的食材添加至购物清单中的操作。
加入烹饪计划操作可以理解为：对象将该电子菜谱添加至某一时间段的烹饪计划的操作，例如，对象将西红柿炒鸡蛋添加为中午的烹饪计划。
烹饪操作可以理解为：对象针对电子菜谱完成烹饪的操作，该电子菜谱可以是对象随机选择的，也可以是从收藏中、烹饪计划中选择的电子菜谱。
分享操作可以理解为：对象将电子菜谱分享给其它对象的操作。
在某些实施方案中，设置每个触发操作对应的权重，该权重值可根据操作到烹饪的转化率得到。
在某些实施方案中：点击查看操作、收藏操作、加入菜篮子操作、加入烹饪计划操作、烹饪操作和分享操作对应的权重为1：10：5：7：20：20。
S22、将预设时间段内对象对第一电子菜谱集合中第一电子菜谱的触发操作及操作次数作为触发操作集合。
S23、从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息。
在本实施例中，对第一电子菜谱集合中的第一电子菜谱从多个维度进行分析处理，得到第一电子菜谱集合对应的多个子信息，多个维度可以理解为：电子菜谱对应菜品的口味、食材、菜系、菜式、功效等等。
在某些实施方案中，设置电子菜谱对应的多个子信息的权重，该权重的具体值可以根据子信息的重要程度进行设置。
在某些实施方案中，将口味：食材：菜系：菜式：功效的权重 设置为：1：1：0.4：0.3：0.2。
S24、针对每个所述子信息，利用所述触发操作、操作次数、所述子信息对应的权重、所述子信息对应的时间衰减系数、所述子信息的重要程度确定所述子信息的初始偏好值。
在本实施例中，针对每个子信息，按照预设公式对触发操作、操作次数、所述子信息对应的权重、子信息对应的时间衰减系数、子信息的重要程度确定所述子信息的初始偏好值。
在某些实施方案中，预设公式可以是：初始偏好值＝触发操作对应的权重*操作次数*子信息对应的权重*子信息对应的时间衰减系数*子信息的重要程度。
子信息的重要程度的可根据该子信息的词频-逆向文件频率得到，例如，子信息的重要程度＝TF*IDF。
子信息对应的时间衰减系数可根据牛顿热力学公式得到，即时间越近，系数越大，时间越久远，系数越小，例如，时间衰减系数＝exp(-0.02*最近的时间间隔)，该最近的时间间隔为当前时间距离烹饪该子信息对应第一电子菜谱的最近时间间隔。
S25、对所述初始偏好值进行归一化处理，得到所述子信息对应的偏好值。
在本实施例中，将得到的初始偏好值进行logistic归一化，得到子信息对应的偏好值。
归一化处理的过程可以是：
Y＝1/(1+e^(-X))
其中，X为初始偏好值，Y为偏好值。
在某些实施方案中，假设用户A只进行了烹饪操作，用户A近三个月烹饪了含有土豆的菜5次，东北菜6次，辣味的菜10次；假设子信息辣味的标签权重为1，并且最后一次烹饪辣味菜是两天前，辣味的ITF＝0.13，TF＝10/(5+6+10)＝0.47，则用户对辣味的初始偏好值为：
20*10*1*exp(-0.02*2)*0.47*0.13＝11.7。
将初始偏好值进行归一化处理后，得到用户A对辣味的偏好 值为0.9。
S26、得到多个子信息对应的偏好值集合。
S27、将得到所述偏好值集合进行向量化处理。
S28、将向量化处理后的所述偏好值集合作为所述对象的参数。
在本实施例中，依次确定每个子信息对应的偏好值，将多个子信息对应的偏好值作为偏好值集合，并对偏好值集合进行向量化处理，得到向量化处理后的偏好值集合，该向量化处理后的偏好值集合作为对象的参数，该参数可以表征对象对每个子信息的偏爱程度。
在某些实施方案中，用户的偏好值集合为：{香辣味：0.82，辣味：0.9，洋葱：0.0，根茎类：0.3，蔬菜类：0.6}，用户的参数可以是[0.82,0.9,0.0,0.3,0.6]，由此可知，该用户对辣味比较偏爱，可向该用户推送口味为辣味的电子菜谱。
在某些实施方案中，本公开实施例提供的对象的参数确定方法，通过获取预设时间段内对象对第一电子菜谱集合的触发操作集合；从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息；针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合；将所述偏好值集合作为所述对象的参数，通过从多个维度对用户的历史电子菜谱的操作情况进行分析，得到用户对不同维度的子信息的偏爱程度，并将该偏爱程度作为用户的参数信息，便于后续更有针对性的菜谱推荐，推荐的菜谱也更符合用户的喜好，提升用户体验。
图3为本公开实施例提供的电子菜谱的参数确定方法的流程示意图，如图3所示，具体包括：
S31、获取第二电子菜谱集合。
在本实施例中，通过爬虫从多个渠道(例如，美食网页、小红书排行榜等等)爬取第二电子菜谱，并将得到的全部第二电子菜谱作为第二电子菜谱集合。
针对第二电子菜谱集合，确定对应的多个维度的标签数据，该标签数据可以包括：口味、食材、菜系、菜式、功效等。
在某些实施方案中，标签数据可以包括：
口味：酸辣味，麻辣味，酸甜味，咸鲜味，…；
食材：猪肉，五花肉，鲫鱼，土豆，…；
菜系：川菜，湘菜，苏菜，粤菜，…；
菜式：甜品，汤羹，面食，煎炸，…；
功效：美容养颜，健脾养胃，低脂瘦身，润肠通便，…。
在某些实施方案中，根据该标签数据可以对每个电子菜谱进行标签化(向量)处理，使其与对象的参数之间的类型统一。
S32、获取对象的参数。
在本实施例中，通过图1或图2所示的实施例获取对象的参数信息，具体可参照图1或2中的相关描述，在此不作赘述。
S33、针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合。
在本实施例中，将第二电子菜谱集合中每个第二电子菜谱与对象的参数进行相似性比较，得到每个第二电子菜谱与参数的相似度，进而得到第二电子菜谱对应的相似度集合，该相似度可以表征对象的偏好与第二电子菜谱的相似程度，相似度越大，该第二电子菜谱越符合对象；相似度越小，该第二电子菜谱越不符合对象。
在某些实施方案中，本公开实施例提供的电子菜谱的参数确定方法，通过获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合，将电子菜谱进行标签化处理，并将处理后的电子菜谱与用户的参数进行相似度比对，得到参数与全部电子菜谱的相似度，该相似度可以表征电子菜谱与用户偏好的相似程度，便于后续更有针对性的菜谱推荐，推荐的菜谱也更符合用户的喜好，提升用户体验。
图4为本公开实施例涉及的确定所述第二电子菜谱与所述参数的相似度的流程示意图，如图4所示，具体包括：
S41、确定所述第二电子菜谱对应的第一标签和第二标签。
S42、确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重。
在本实施例中，第二电子菜谱集合中的多个第二电子菜谱存在相同的食材不同的描述，例如，番茄，西红柿；土豆，土豆片，土豆块；包菜，莲花白，结球甘蓝，包心菜等等。
在某些实施方案中，通过自然语言处理对第二电子菜谱中的内容进行分词、相似度计算、同义词分析等等，例如，通过word2vec词向量模型、百度百科、哈工大词林等同义词库等方式，最后再进行校对调整，得到标签的标签标准化映射表。
标签标准化映射表格式为：tag word1,word2,…,wordi，表示wordi标准化为tag。
其中，每个第二电子菜谱对应的第一标签(tag)和第二标签(wordi)，所述第一标签为所述第二标签的父标签，所述第二标签包括一级或多级标签。所述第二标签与所述第一标签的对应的权重，或所述第二标签中的多级标签之间对应的权重逐级衰减。
在某些实施方案中，对标签标准化映射表再进行泛化处理标签泛化映射表，得到，也即，确定每个第一标签对应的一级或多级第二标签。
在某些实施方案中：
口味标签：辣味
酸辣味  辣味
麻辣味  辣味
其中，辣味是第一标签；酸辣味和麻辣味是第二标签，映射到辣味，是辣味的子标签；辣味是酸辣味和麻辣味的父标签。
在某些实施方案中：
食材标签：肉类
猪肉  肉类
五花肉  猪肉
猪里脊  猪肉
猪瘦肉  猪肉
其中，肉类是第一标签；猪肉是第二标签(第二标签中的一级标签)，映射到肉类，是肉类的子标签；五花肉、猪里脊、猪瘦肉是第二标签(第二标签中的二级标签)，映射到猪肉，是猪肉的子标签。
在本公开实施例中，针对每个第二电子菜谱中的多个维度，根据标签标准化映射表进行关键词匹配，得到每个维度对应的第一标签，再根据第一标签从标签泛化映射表中得到第二标签，进而得到第二电子菜谱中的多个维度对应的全部标签(多个维度的第一标签和第二标签)。
在某些实施方案中，假设第二电子菜谱为西红柿生滚肉片汤，以食材维度为例：西红柿生滚肉片汤的食材有西红柿块，猪瘦肉片；
通过西红柿块匹配到word西红柿，猪瘦肉片匹配到word猪瘦肉；再通过标签标准化映射表将word西红柿标准化为tag番茄，word猪瘦肉标准化为tag猪瘦肉；再通过标签泛化映射表，泛化为：番茄->果实类->蔬菜类，猪瘦肉->猪肉->肉类；
最终，西红柿生滚肉片汤的食材标签有[番茄,猪瘦肉，果实类，蔬菜类，猪肉，肉类]。
在本公开实施例的某些实施方案中，预先第二电子菜谱对应维度(也可理解：子信息)的权重，维度之间的权重可通过维度的重要程度进行设定，以及每个维度对应的第一标签和第二标签的权重，所述第二标签与所述第一标签的对应的权重，或所述第二标签中的多级标签之间对应的权重逐级衰减，衰减的系数可以根据实际情况进行设定，例如0.5。
在某些实施方案中，将口味：食材：菜系：菜式：功效的权重设置为：1：1：0.4：0.3：0.2。
在某些实施方案中，该第二电子菜谱的食材有西红柿块 (250g)，猪瘦肉片(150g)，标签的权重＝食材的重量/菜谱最大食材重量，得到番茄@1.0；猪瘦肉@0.6，然后对第一标签进行泛化衰减，衰减的权重是0.5，番茄的权重是1.0，首先泛化为果实类，则果实类的权重为0.5，再泛化为蔬菜类，则蔬菜类的权重为0.25，最终菜谱的标签及权重为：番茄@1.0|猪瘦肉@0.6|果实类@0.5|猪肉@0.3|蔬菜类@0.25|肉类@0.15|。
S43、基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量。
在本实施例中，根据第二电子菜谱的每个维度对应的第一标签及第一权重、第二标签及述第二权重构建第二电子菜谱的菜谱向量。
在某些实施方案中，假设第二电子菜谱为辣炒洋葱，第一标签及第一权重、第二标签及述第二权重为：{香辣味：1.0，辣味：0.5，洋葱：1.0，根茎类：0.5，蔬菜类：0.25}，则该菜谱向量为[1.0,0.5,1.0,0.5,0.25]。
S44、确定所述菜谱向量与所述参数的相似度。
在本实施例中，采用余弦相似度确定菜谱向量与参数之间的相似度。
在某些实施方案中，假设用户B的偏好值集合为：{香辣味：0.82，辣味：0.9，洋葱：0.0，根茎类：0.3，蔬菜类：0.6}，参数为：[0.82,0.9,0.0,0.3,0.6]；菜谱向量为[1.0,0.5,1.0,0.5,0.25]，则该菜谱向量与参数的相似度为0.705，也即，用户B对辣炒洋葱的偏好程度为0.705。
图5为本公开实施例的目标电子菜谱的推荐方法的流程示意图，如图5所示，具体包括：
S51、获取第二电子菜谱集合。
在本实施例中，S51与图3所示实施例中的S31类似，为简洁描述，具体可参照图3的相关描述，对此不作赘述。
S52、获取对象的参数。
在某些实施方案中，获取对象针对第一电子菜谱集合的触发操作集合；利用所述第一电子菜谱集合和所述触发操作集合确定所述对象的参数。
检测对象对第一电子菜谱集合中第一电子菜谱的触发操作，所述触发操作至少包括以下之一：点击查看操作、收藏操作、加入菜篮子操作、加入烹饪计划操作、烹饪操作或分享操作；将预设时间段内对象对第一电子菜谱集合中第一电子菜谱的触发操作及操作次数作为触发操作集合。
利用所述触发操作、所述操作次数、所述子信息对应的权重、所述子信息对应的时间衰减系数、所述子信息的重要程度确定所述子信息的初始偏好值；对所述初始偏好值进行归一化处理，得到所述子信息对应的偏好值；将得到所述偏好值集合进行向量化处理；将向量化处理后的所述偏好值集合作为所述对象的参数。
在本实施例中，S52与图1所示实施例中的S11-S14以及图2所示实施例中的S21-S28类似，为简洁描述，具体可参照图1或图2的相关描述，对此，不作赘述。
S53、针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重。
S54、基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合。
在本实施例中，S53-S54与图4所示实施例中的S41-S44类似，为简洁描述，具体可参照图4的相关描述，对此，不作赘述。
S55、基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱。
在某些实施方案中，基于所述相似度集合对所述第二电子菜谱集合中的全部所述第二电子菜谱进行排序；从排序后的全部所述第二电子菜谱中选取部分或全部所述第二电子菜谱作为目标电 子菜谱；或，基于所述相似度集合，从所述第二电子菜谱集合中选取相似度大于设定阈值的所述第二电子菜谱作为目标电子菜谱。
在某些实施方案中，根据相似度集合，按照相似度由高到低对第二电子食谱进行排序，选取相似度高的前200的第二电子菜谱作为目标电子菜谱；或，根据相似度集合，将相似度大于0.9的第二电子菜谱作为目标电子菜谱。
S56、将所述目标电子菜谱推送至目标设备。
在本实施例中，将所述目标电子菜谱推送至目标设备，该目标设备可以烹饪设备或终端设备(例如，烹饪设备的遥控器、智能手机等)，便于用户在接触到目标设备时根据目标电子菜谱进行烹饪。
场景(一)
假设用户A的触发操作集合中的触发操作仅包括烹饪操作，用户A近三个月烹饪了含有土豆的菜5次，东北菜6次，辣味的菜10次；点击查看操作、收藏操作、加入菜篮子操作、加入烹饪计划操作、烹饪操作和分享操作对应的权重为1：10：5：7：20：20；口味：食材：菜系：菜式：功效的权重设置为：1：1：0.4：0.3：0.2；最后一次烹饪辣味菜是两天前，辣味的ITF＝0.13，TF＝10/(5+6+10)＝0.47，则用户对辣味的初始偏好值＝20*10*1*exp(-0.02*2)*0.47*0.13＝11.7，对初始偏好值进行logistic归一化处理，得到用户A对辣味的偏好值＝0.9，同理可得到用户A对含土豆的菜和东北菜的偏好值。
场景(二)
假设第二电子菜谱为辣炒洋葱，第一标签及第一权重、第二标签及述第二权重为：{香辣味：1.0，辣味：0.5，洋葱：1.0，根茎类：0.5，蔬菜类：0.25}，则该菜谱向量为[1.0,0.5,1.0,0.5,0.25]。
假设用户B的偏好值集合为：{香辣味：0.82，辣味：0.9，洋葱：0.0，根茎类：0.3，蔬菜类：0.6}，参数为：[0.82,0.9,0.0,0.3,0.6]。
该菜谱向量与参数的相似度为0.705，也即，用户B对辣炒洋葱的偏好程度为0.705。
场景(三)
假设第二电子菜谱为辣炒洋葱第一标签及第一权重、第二标签及述第二权重为：{香辣味：1.0，辣味：0.5，洋葱：1.0，根茎类：0.5，蔬菜类：0.25}，则该菜谱向量为[1.0,0.5,1.0,0.5,0.25]。
假设用户B的偏好值集合为：{香辣味：0.82，辣味：0.9，洋葱：0.0，根茎类：0.3，蔬菜类：0.6}，参数为：[0.82,0.9,0.0,0.3,0.6]。
该菜谱向量与参数的相似度为0.705，也即，用户B对辣炒洋葱的偏好程度为0.705。
假设将相似度大于0.7的作为目标电子菜谱，则将辣炒洋葱作为目标电子菜谱。
图6为本公开实施例提供的对象的参数确定装置的结构示意图，如图6所示，该装置具体包括：
获取模块61，用于获取预设时间段内对象对第一电子菜谱集合的触发操作集合；
处理模块62，用于从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息；
确定模块63，用于针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合。
本实施例提供的对象的参数确定装置可以是如图6中所示的对象的参数确定装置，可执行如图1-2中对象的参数确定方法的所有步骤，进而实现图1-2所示对象的参数确定方法的技术效果，具体请参照图1-2相关描述，为简洁描述，在此不作赘述。
图7为本公开实施例提供的电子菜谱的参数确定装置的结构示意图，如图7所示，该装置具体包括：
获取模块71，用于获取预设时间段内对象对第一电子菜谱集合的触发操作集合；
处理模块72，用于从多个维度对所述第一电子菜谱集合进行 分析处理，得到所述第一电子菜谱集合对应的多个子信息；
确定模块73，用于针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合。
本实施例提供的电子菜谱的参数确定装置可以是如图7中所示的电子菜谱的参数确定装置，可执行如图3-4中电子菜谱的参数确定方法的所有步骤，进而实现图3-4所示电子菜谱的参数确定方法的技术效果，具体请参照图3-4相关描述，为简洁描述，在此不作赘述。
本公开实施例还提供目标电子菜谱的推荐装置，该装置具体包括：
获取模块，用于获取第二电子菜谱集合；
所述获取模块，还用于获取对象的参数；
确定模块，用于针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；
所述确定模块，还用于基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；
所述确定模块，还用于基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；
推送模块，用于将所述目标电子菜谱推送至目标设备。
图8为本公开实施例提供的烹饪设备的结构示意图，图8所示的烹饪设备800包括：至少一个处理器801、存储器802、至少一个网络接口804和其他用户接口803。烹饪设备800中的各个组 件通过总线系统805耦合在一起。可理解，总线系统805用于实现这些组件之间的连接通信。总线系统805除包括数据总线之外，还包括电源总线、控制总线和状态信号总线。但是为了清楚说明起见，在图8中将各种总线都标为总线系统805。
其中，用户接口803可以包括显示器、键盘或者点击设备(例如，鼠标，轨迹球(trackball)、触感板或者触摸屏等。
可以理解，本公开实施例中的存储器802可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synch link DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DRRAM)。本文描述的存储器802旨在包括但不限于这些和任意其它适合类型的存储器。
在某些实施方案中，存储器802存储了如下的元素，可执行单元或者数据结构，或者他们的子集，或者他们的扩展集：操作系统8021和应用程序8022。
其中，操作系统8021包含各种系统程序，例如框架层、核心库层、驱动层等，用于实现各种基础业务以及处理基于硬件的任务。应用程序8022，包含各种应用程序，例如媒体播放器(Media Player)、浏览器(Browser)等，用于实现各种应用业务。实现本公开实施例方法的程序可以包含在应用程序8022中。
在本公开实施例中，通过调用存储器802存储的程序或指令，在某些实施方案中，可以是应用程序8022中存储的程序或指令，处理器801用于执行各方法实施例所提供的方法步骤，例如包括：
获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；将所述目标电子菜谱推送至目标设备。
在某些实施方案中，获取对象针对第一电子菜谱集合的触发操作集合；利用所述第一电子菜谱集合和所述触发操作集合确定所述对象的参数。
在某些实施方案中，检测对象对第一电子菜谱集合中第一电子菜谱的触发操作，所述触发操作至少包括以下之一：点击查看操作、收藏操作、加入菜篮子操作、加入烹饪计划操作、烹饪操作或分享操作；将预设时间段内对象对第一电子菜谱集合中第一电子菜谱的触发操作及操作次数作为触发操作集合。
在某些实施方案中，利用所述触发操作、所述操作次数、所述子信息对应的权重、所述子信息对应的时间衰减系数、所述子信息的重要程度确定所述子信息的初始偏好值；对所述初始偏好值进行归一化处理，得到所述子信息对应的偏好值；将得到所述偏好值集合进行向量化处理；将向量化处理后的所述偏好值集合作为所述对象的参数。
在某些实施方案中，基于所述相似度集合对所述第二电子菜谱集合中的全部所述第二电子菜谱进行排序；从排序后的全部所述第二电子菜谱中选取部分或全部所述第二电子菜谱作为目标电子菜谱；或，基于所述相似度集合，从所述第二电子菜谱集合中选 取相似度大于设定阈值的所述第二电子菜谱作为目标电子菜谱。
在某些实施方案中，所述第一标签为所述第二标签的父标签，所述第二标签包括一级或多级标签；所述第二标签与所述第一标签的对应的权重，或所述第二标签中的多级标签之间对应的权重逐级衰减。
或，
获取预设时间段内对象对第一电子菜谱集合的触发操作集合；从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息；针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合；将所述偏好值集合作为所述对象的参数。或，
获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合。
在本公开实施例中，通过调用存储器802存储的程序或指令，在某些实施方案中，可以是应用程序8022中存储的程序或指令，处理器801用于执行各方法实施例所提供的方法步骤，例如包括：
获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；在确定所述目标食材添加完时，获取所述目标食材的重量信息；根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
在某些实施方案中，在所述重量信息大于等于第一重量阈值且小于等于第二重量阈值时，确定所述目标食材的烹饪策略为第一烹饪策略，其中，所述第一重量阈值和所述第二重量阈值由所述标准重量值确定，所述标准重量值大于所述第一重量阈值且小于所述第二重量阈值。
在某些实施方案中，在所述重量信息大于等于第三重量阈值 且小于第一重量阈值，或，所述重量信息大于第二重量阈值且小于等于第四重量阈值时，确定所述目标食材的烹饪策略为第二烹饪策略。
在某些实施方案中，所述第一重量阈值、所述第二重量阈值、所述第三重量阈值和所述第四重量阈值由所述目标食材的类型及对应的所述标准重量值确定。
在某些实施方案中，在所述重量信息小于第三重量阈值，或，所述重量信息大于第四重量阈值时，确定所述烹饪策略为第三烹饪策略，所述第三重量阈值和所述第四重量阈值由所述标准重量值确定；在所述烹饪策略为所述第三烹饪策略时，控制所述烹饪设备执行烹饪模式的切换。
在某些实施方案中，在所述烹饪策略为所述第一烹饪策略时，控制烹饪设备按照所述目标烹饪电子菜谱对所述目标食材进行烹饪。
在某些实施方案中，在所述烹饪策略为所述第二烹饪策略时，获取所述目标电子菜谱中的目标调料信息和目标烹饪时长；针对所述目标调料信息，基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标调料信息进行更新，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标调料信息进行更新，得到预设调料信息；针对所述目标调料信息，基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标烹饪时长进行更新，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标烹饪时长进行更新，得到预设烹饪时长；控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪。
在某些实施方案中，在所述预设调料信息大于等于第五重量阈值，且小于等于第六重量阈值时，执行所述控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪的步骤；在所述预设调料信息小于所述第五重量阈值，或大于所述第六重量阈值时，控制所述烹饪设备执行烹饪模式的切换。
或，
获取所述目标食材的重量信息；根据所述重量信息确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
上述本公开实施例揭示的方法可以应用于处理器801中，或者由处理器801实现。处理器801可能是集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器801中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器801可以是通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(Field Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本公开实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本公开实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件单元组合执行完成。软件单元可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器802，处理器801读取存储器802中的信息，结合其硬件完成上述方法的步骤。
可以理解的是，本文描述的这些实施例可以用硬件、软件、固件、中间件、微码或其组合来实现。对于硬件实现，处理单元可以实现在一个或多个专用集成电路(Application Specific Integrated Circuits，ASIC)、数字信号处理器(Digital Signal Processing，DSP)、数字信号处理设备(DSPDevice，DSPD)、可编程逻辑设备(Programmable Logic Device，PLD)、现场可编程门阵列(Field-Programmable Gate Array，FPGA)、通用处理器、控制器、微控制器、微处理器、用于执行本申请所述功能的其它电子单元或其组合中。
对于软件实现，可通过执行本文所述功能的单元来实现本文所述的技术。软件代码可存储在存储器中并通过处理器执行。存储器可以在处理器中或在处理器外部实现。
本实施例提供的电子设备可以是如图8中所示的烹饪设备，可执行如图1-5中烹饪控制方法的所有步骤，进而实现图1-5所示烹饪控制方法的技术效果，具体请参照图1-5相关描述，为简洁描述，在此不作赘述。
图9为本公开实施例提供的终端设备的结构示意图，图9所示的终端设备900包括：至少一个处理器901、存储器902、至少一个网络接口904和其他用户接口903。终端设备900中的各个组件通过总线系统905耦合在一起。可理解，总线系统905用于实现这些组件之间的连接通信。总线系统905除包括数据总线之外，还包括电源总线、控制总线和状态信号总线。但是为了清楚说明起见，在图9中将各种总线都标为总线系统905。
其中，用户接口903可以包括显示器、键盘或者点击设备(例如，鼠标，轨迹球(trackball)、触感板或者触摸屏等。
可以理解，本公开实施例中的存储器902可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器 (Synch link DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DRRAM)。本文描述的存储器902旨在包括但不限于这些和任意其它适合类型的存储器。
在某些实施方案中，存储器902存储了如下的元素，可执行单元或者数据结构，或者他们的子集，或者他们的扩展集：操作系统9021和应用程序9022。
其中，操作系统9021，包含各种系统程序，例如框架层、核心库层、驱动层等，用于实现各种基础业务以及处理基于硬件的任务。应用程序9022，包含各种应用程序，例如媒体播放器(Media Player)、浏览器(Browser)等，用于实现各种应用业务。实现本公开实施例方法的程序可以包含在应用程序9022中。
在本公开实施例中，通过调用存储器902存储的程序或指令，在某些实施方案中，可以是应用程序9022中存储的程序或指令，处理器901用于执行各方法实施例所提供的方法步骤，例如包括：
获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；将所述目标电子菜谱推送至目标设备。
在某些实施方案中，获取对象针对第一电子菜谱集合的触发操作集合；利用所述第一电子菜谱集合和所述触发操作集合确定所述对象的参数。
在某些实施方案中，检测对象对第一电子菜谱集合中第一电子菜谱的触发操作，所述触发操作至少包括以下之一：点击查看操作、收藏操作、加入菜篮子操作、加入烹饪计划操作、烹饪操作或分享操作；将预设时间段内对象对第一电子菜谱集合中第一电子 菜谱的触发操作及操作次数作为触发操作集合。
在某些实施方案中，利用所述触发操作、所述操作次数、所述子信息对应的权重、所述子信息对应的时间衰减系数、所述子信息的重要程度确定所述子信息的初始偏好值；对所述初始偏好值进行归一化处理，得到所述子信息对应的偏好值；将得到所述偏好值集合进行向量化处理；将向量化处理后的所述偏好值集合作为所述对象的参数。
在某些实施方案中，基于所述相似度集合对所述第二电子菜谱集合中的全部所述第二电子菜谱进行排序；从排序后的全部所述第二电子菜谱中选取部分或全部所述第二电子菜谱作为目标电子菜谱；或，基于所述相似度集合，从所述第二电子菜谱集合中选取相似度大于设定阈值的所述第二电子菜谱作为目标电子菜谱。
在某些实施方案中，所述第一标签为所述第二标签的父标签，所述第二标签包括一级或多级标签；所述第二标签与所述第一标签的对应的权重，或所述第二标签中的多级标签之间对应的权重逐级衰减。
或，
获取预设时间段内对象对第一电子菜谱集合的触发操作集合；从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息；针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合；将所述偏好值集合作为所述对象的参数。
或，
获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合。
上述本公开实施例揭示的方法可以应用于处理器901中，或者由处理器901实现。处理器901可能是集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器901中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处 理器901可以是通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(Field Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本公开实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本公开实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件单元组合执行完成。软件单元可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器902，处理器901读取存储器902中的信息，结合其硬件完成上述方法的步骤。
可以理解的是，本文描述的这些实施例可以用硬件、软件、固件、中间件、微码或其组合来实现。对于硬件实现，处理单元可以实现在一个或多个专用集成电路(Application Specific Integrated Circuits，ASIC)、数字信号处理器(Digital Signal Processing，DSP)、数字信号处理设备(DSPDevice，DSPD)、可编程逻辑设备(Programmable Logic Device，PLD)、现场可编程门阵列(Field-Programmable Gate Array，FPGA)、通用处理器、控制器、微控制器、微处理器、用于执行本申请所述功能的其它电子单元或其组合中。
对于软件实现，可通过执行本文所述功能的单元来实现本文所述的技术。软件代码可存储在存储器中并通过处理器执行。存储器可以在处理器中或在处理器外部实现。
图10为本公开实施例提供的一烹饪控制方法的流程示意图，如图10所示，该方法具体包括：
S61、获取目标食材的重量信息。
本公开实施例提供的烹饪控制方法应用于烹饪设备，该烹饪 设备可以是全自动炒菜锅，该烹饪设备设置有锅体，锅体内用放置食材和调料，该烹饪设备上设置有称重模块，该称重模块用于对放置于锅体内的食材进行称重。
在某些实施方案中，获取目标食材的重量信息，该目标食材可以为目标电子菜谱中的某一种食材，在该目标食材中设置有该目标食材的标准重量值，通过获得的重量信息和电子菜谱中的标准重量值可对由目标食材烹饪食物的烹饪过程进行控制。
在某些实施方案中，目标电子菜谱为红烧排骨，目标食材为排骨，根据烹饪设备的称重，得到排骨的重量信息为：130g。
S62、根据所述重量信息确定所述目标食材的烹饪策略。
在本实施例中，目标电子菜谱设置有目标食材的标准重量值，根据标准重量值与称重得到的目标食材的重量信息进行比较，得到该目标食材的烹饪策略，该烹饪策略可以理解为针对目标食材烹饪过程中烹饪参数的调整，该烹饪参数可以理解为：调料信息和烹饪时长，例如，对烹饪过程中调料的量进行调整，或，对烹饪过程中烹饪时长的调整等等。
在某些实施方案中，在目标食材的重量信息大于目标电子菜谱中的标准重量值时，增大调料的量，同时增加烹饪时长。
在某些实施方案中，在目标食材的重量信息小于目标电子菜谱中的标准重量值时，减少调料的量，同时减少烹饪时长。
S63、按照所述烹饪策略对所述目标食材进行烹饪。
烹饪设备根据得到的烹饪策略，对目标食材进行烹饪，并在烹饪过程中对烹饪参数(调料信息和烹饪时长)进行调整，实现智能烹饪。
在某些实施方案中，本公开实施例提供的烹饪控制方法，通过获取所述目标食材的重量信息；根据所述重量信息确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪，以实现根据目标食材的重量信息动态调整烹饪过程，提升烹饪效果。
图11为本公开实施例提供的另一烹饪控制方法的流程示意图， 如图11所示，该方法具体包括：
S71、获取目标电子菜谱，所述目标电子菜谱为针对目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值。
在本实施例中，通过在烹饪设备或外部设备(烹饪设备对应的遥控器或者终端)上确定目标电子菜谱，在该目标电子菜谱中包括目标食材，针对该目标食材为主的进行烹饪的烹饪参数(如、辅食材、调料信息、烹饪时长等等)、以及目标食材的标准重量。
在某些实施方案中，烹饪设备上存储有电子菜谱目录，通过在烹饪设备的显示面板上展示该电子菜谱目录，用户从电子菜谱目录中选择一个电子菜谱作为目标电子菜谱。
在某些实施方案中，在烹饪设备的遥控器上存储有电子菜谱目录，通过在遥控器的显示面板上展示该电子菜谱目录，用户从电子菜谱目标中选择一个电子菜谱作为目标电子菜谱，遥控器将被选择的目标电子菜谱发送至烹饪设备。
S72、在确定所述目标食材添加完时，获取所述目标食材的重量信息。
在本实施例中，烹饪设备中设置有称重模块(例如，重力传感器)，目标电子菜谱确定后，用户可根据目标电子菜谱的提示，往烹饪设备中的添加目标食材，通过称重模块可实现对添加至烹饪设备中的目标食材进行称重，进而得到目标食材的重量信息。
在本公开实施例的某些实施方案中，可通过检测烹饪设备内的目标食材在一段时间内重量不发生变化确定目标食材添加完；还可以通过检测用户的触发操作(例如，烹饪设备的锅盖被盖合，或，用户通过触发食材添加完成的按钮)来判断是否目标食材完成添加。
S73、根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略。
S74、按照所述烹饪策略对所述目标食材进行烹饪。
在本实施例中，目标电子菜谱中目标食材的标准重量值，与目 标食材的重量信息进行比较，得到该目标食材的烹饪策略，该烹饪策略可以理解为针对目标食材烹饪过程中烹饪参数的调整，该烹饪参数可以理解为：调料信息和烹饪时长，例如，对烹饪过程中调料的量进行调整，或，对烹饪过程中烹饪时长的调整等等。
在某些实施方案中，烹饪设备根据得到的烹饪策略，对目标食材进行烹饪，并在烹饪过程中对烹饪参数(调料信息和烹饪时长)进行调整，实现智能烹饪。
在某些实施方案中，目标食材A的标准重量值为100g，目标食材A的重量信息为130g，烹饪策略可以是：食盐增加2g，烹饪时长增加5s。
在某些实施方案中，目标食材A的标准重量值为100g，目标食材A的重量信息为80g，烹饪策略可以是：食盐减少1.5g，烹饪时长减少1s。
在某些实施方案中，本公开实施例提供的烹饪控制方法，通过获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；在确定所述目标食材添加完时，获取所述目标食材的重量信息；根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪，以实现根据目标食材的重量信息动态调整烹饪过程，提升烹饪效果。
在本公开实施例的某些实施方案中，针对电子菜谱目录中的任一电子菜谱，按照该电子菜谱中目标食材的标准重量值，预先设置该标准重量值对应的第一重量阈值、第二重量阈值、第三重量阈值和第四重量阈值(其中，标准重量值大于第一重量阈值且小于第二重量阈值，第三重量阈值小于第一重量阈值，第四重量阈值大于第二重量阈值)，并利用标准重量值、第一重量阈值、第二重量阈值、第三重量阈值和第四重量阈值确定目标食材的烹饪策略，进而实现智能烹饪。
在某些实施方案中，假设标准重量值可以是100g，相应地， 第一重量阈值可以是：90g、第二重量阈值可以是110g、第三重量阈值可以是70g和第四重量阈值可以是300g。
在本公开实施例的某些实施方案中，除采用重量作为判断标准外，还可以采用比例的形式划定相应的阈值，进而确定烹饪策略，二者的实质相同，具体可根据实际需求进行设定，对此，本实施例不作具体限定。
在某些实施方案中，以信息与标准值的比例进行判断，相应地，标准值为100％，第一阈值可以是：90％、第二阈值可以是110％、第三阈值可以是70％和第四阈值可以是300％。
以下将以重量的形式为例，对本实施例中确定烹饪策略及按照该烹饪策略对目标食材进行烹饪进行介绍。
图12为本公开实施例提供的再一烹饪控制方法的流程示意图，如图12所示，该方法具体包括：
S81、获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值。
S82、在确定所述目标食材添加完时，获取所述目标食材的重量信息。
在本实施例中，S81-S82与图11中S71-S72类似，具体可参见图11中的相关描述，为简洁描述，在此不作赘述。
S83、在所述重量信息大于等于第一重量阈值且小于等于第二重量阈值时，确定所述目标食材的烹饪策略为第一烹饪策略，其中，所述第一重量阈值和所述第二重量阈值由所述标准重量值确定，所述标准重量值大于所述第一重量阈值且小于所述第二重量阈值。
S84、在所述烹饪策略为所述第一烹饪策略时，控制烹饪设备按照所述目标烹饪电子菜谱对所述目标食材进行烹饪。
在本实施例中，预先设置的第一重量阈值和第二重量阈值与标准重量值相差不大，因此由第一重量阈值至第二重量阈值组成的范围可以理解为标准重量值可允许的浮动范围，也即，落入至该 范围的重量信息可理解为与标准重量值接近，可采用标准重量值对应的烹饪参数对其进行烹饪(在重量信息与标准重量值接近时，采用标准重量值对应的烹饪参数执行该重量信息对应目标食材的烹饪，可得到与目标电子菜谱基本相同的效果)。
在某些实施方案中，在目标食材的重量信息大于等于第一重量阈值且小于等于第二重量阈值时，则表征该重量信息与标准重量值接近，确定目标食材的目标食材的烹饪策略为第一烹饪策略，也即可采用目标电子菜谱中预先设定的烹饪参数对该重量信息的目标食材进行烹饪。
在本实施例中，通过获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；在确定所述目标食材添加完时，获取所述目标食材的重量信息；在所述重量信息大于等于第一重量阈值且小于等于第二重量阈值时，确定所述目标食材的烹饪策略为第一烹饪策略，在所述烹饪策略为所述第一烹饪策略时，控制烹饪设备按照所述目标烹饪电子菜谱对所述目标食材进行烹饪，在重量信息与标准重量值接近时，采用标准重量值对应的烹饪参数执行该重量信息对应目标食材的烹饪，可得到与目标电子菜谱基本相同的效果。
图13为本公开实施例提供的再一烹饪控制方法的流程示意图，如图13所示，该方法具体包括：
S91、获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值。
S92、在确定所述目标食材添加完时，获取所述目标食材的重量信息。
在本实施例中，S91-S92与图11中S71-S72类似，具体可参见图11中的相关描述，为简洁描述，在此不作赘述。
S93、在所述重量信息大于等于第三重量阈值且小于第一重量 阈值，或，所述重量信息大于所述第二重量阈值且小于等于第四重量阈值时，确定所述目标食材的烹饪策略为第二烹饪策略。其中，所述第一重量阈值、所述第二重量阈值、所述第三重量阈值和所述第四重量阈值由所述目标食材的类型及对应的所述标准重量值确定。
在本实施例中，预先设置的第三重量阈值和第四重量阈值与标准重量值相差较大，因此由第三重量阈值和第一重量阈值组成的范围(此范围可以理解为目标食材重量减少阶段)，以及由第二重量阈值和第四重量阈值组成的范围(此范围可以理解为目标食材重量增加阶段)可理解为相对于标准重量值，重量信息存在的较大浮动范围，也即，落入至该范围的重量信息可理解为与标准重量值存在较大浮动，因此，需要对标准重量值对应的烹饪参数进行调整。
在某些实施方案中，在重量信息大于等于第三重量阈值且小于第一重量阈值，或，重量信息大于第二重量阈值且小于等于第四重量阈值时，确定目标食材的烹饪策略为第二烹饪策略。
在本实施例中，一个电子菜谱中可包括一个或多个目标食材，不同类型的目标食材的标准重量值可能相同可能不同，因此，对应的第一重量阈值、第二重量阈值、第三重量阈值和第四重量阈值需要根据目标食材的类型确定。
S94、在所述烹饪策略为所述第二烹饪策略时，获取所述目标电子菜谱中的目标调料信息和目标烹饪时长。
S95、基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标调料信息和所述目标烹饪时长进行更新，得到预设调料信息和预设烹饪时长，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标调料信息和所述目标烹饪时长进行更新，得到预设调料信息和预设烹饪时长。
在本实施例中，目标电子菜谱中除包含有目标食材外还包括烹饪参数，烹饪参数可以是目标调料信息和目标烹饪时长，在确定烹饪策略为第二烹饪策略时，从目标电子菜谱中获取目标调料信 息和目标烹饪时长，以及利用预设公式，针对重量信息、第一重量阈值、第二重量阈值对目标调料信息和目标烹饪时长进行更新，得到预设调料信息和预设烹饪时长。
在本公开实施例的某些实施方案中，所述预设调料信息通过以下公式确定：
Figure PCTCN2023071304-appb-000001
其中，M为预设调料信息、N为重量信息、N 1为标准重量值、(N2为第一重量阈值N3为第三重量阈值，或，N2为第四重量阈值N3为第二重量阈值)，K 1为常数，b为目标调料信息；
所述预设烹饪时长通过以下公式确定：
Figure PCTCN2023071304-appb-000002
其中，H为预设烹饪信息、N为重量信息、N 1为标准重量值、(N 2为第一重量阈值N 3为第三重量阈值，或，N 2为第四重量阈值N 3为第二重量阈值)，K 2为常数，d为目标烹饪时长。
在某些实施方案中，假设目标电子菜谱中的目标调料信息包括：食盐(10g)，酱油(10g)，烹饪时长包括：600s，目标食材重量信息为：130g、标准重量值为100g、第二重量阈值为110g，第四重量阈值为150g，K 1为10(食盐)或3(酱油)，K 2为600。
相应地，预设调料信息(食盐)为：
(130-100)/(150-110)*5g+10g＝13.75g；
预设调料信息(酱油)为：
(130-100)/(150-110)*3g+10g＝12.25g；
预设烹饪信息(烹饪时长)为：
(130-100)/(150-110)*600+600＝1050s。
在本公开实施例的某些实施方案中，在所述预设调料信息大于等于第五重量阈值，且小于等于第六重量阈值时，执行所述控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪的步骤；在所述预设调料信息小于所述第五重量阈 值，或大于所述第六重量阈值时，控制所述烹饪设备执行烹饪模式的切换。
在某些实施方案中，在本实施例中设置第五重量阈值和第六重量阈值，第五重量阈值用于表征在调料减量阶段对应的最小值，也即，在经过S95的计算后，对目标调料信息的更新值不能超过第五重量阈值；第六重量阈值用于表征在调料增量阶段对应的最大值，也即，在经过S95的计算后，对目标调料信息的更新值不能超过第六重量阈值。
例如，在目标食材重量减少阶段，相应地，调料减量，第五重量阈值可以是3g，也即，目标食材在减少阶段，调料不可低于3g，在低于3g时，则控制烹饪设备执行烹饪模式的切换(例如，由自动烹饪切换为手动烹饪)；
在目标食材重量增加阶段，相应地，调料增量，第六重量阈值可以是20g，也即，目标食材在增加阶段，调料不可高于20g，在高于20g时，则控制烹饪设备执行烹饪模式的切换(例如，由自动烹饪切换为手动烹饪)。
在目标食材重量减少阶段，经计算得到的调料大于等于3g，或，在目标食材重量增加阶段，经计算得到的调料小于等于20g，则按照计算得到的调料量执行目标食材的烹饪步骤。
在本公开实施例的某些实施方案中，除设置第五重量阈值和第六重量阈值来限定调料信息对应的最小量和最大量外，还可以设置调料信息对应的调整量，例如，最大正向调整量、最大反相调整量，最大正向调整量可以理解为在目标食材重量增加阶段，调整最大的增加量(例如，食盐最多+10g)；最大反相调整量可以理解为在目标食材重量减少阶段，调整最大的减少量(例如，食盐最多-10g)。
在本公开实施例的某些实施方案中，本实施例涉及的烹饪设备设置有多个料盒，每个料盒用于盛放一种调料，在烹饪设备对目标食材执行烹饪过程中，自动对料盒进行控制，实现自动添加调料，调料的添加量可通过S95确定。
S96、控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪。
在本实施例中，在确定预设调料信息和预设烹饪时长后，在对目标食材烹饪过程中，添加与预设调料信息相对应的调料，以及控制烹饪设备对目标食材的烹饪时间为预设烹饪时长。
在本实施例中，通过获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；在所述重量信息大于等于第三重量阈值且小于第一重量阈值，或，所述重量信息大于所述第二重量阈值且小于等于第四重量阈值时，确定所述目标食材的烹饪策略为第二烹饪策略，在所述烹饪策略为所述第二烹饪策略时，获取所述目标电子菜谱中的目标调料信息和目标烹饪时长，基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标调料信息和所述目标烹饪时长进行更新，得到预设调料信息和预设烹饪时长，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标调料信息和所述目标烹饪时长进行更新，得到预设调料信息和预设烹饪时长，控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪，在与标准重量相比，该重量信息存在较大浮动，因此，重新确定调料信息和烹饪时长，以通过调整烹饪参数来提升烹饪效果。
图14为本公开实施例提供的再一烹饪控制方法的流程示意图，如图14所示，该方法具体包括：
S101、获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值。
S102、在确定所述目标食材添加完时，获取所述目标食材的重量信息。
在本实施例中，S101-S102与图11中S71-S72类似，具体可参见图11中的相关描述，为简洁描述，在此不作赘述。
S103、在所述重量信息小于第三重量阈值，或，所述重量信息大于第四重量阈值时，确定所述烹饪策略为第三烹饪策略，所述第三重量阈值和所述第四重量阈值由所述标准重量值确定。
在本实施例中，预先设置的第三重量阈值和第四重量阈值与标准重量值相差较大，因此由第三重量阈值组成的范围(此范围可以理解为目标食材重量减少阶段)，以及由第四重量阈值组成的范围(此范围可以理解为目标食材重量增加阶段)可理解为相对于标准重量值，重量信息存在的很大浮动范围，也即，落入至该范围的重量信息可理解为与标准重量值存在很大浮动，因此，需要对烹饪设备烹饪模式进行切换。
在某些实施方案中，在所述重量信息小于第三重量阈值，或，所述重量信息大于所述第四重量阈值时，则表征该重量信息与标准重量值存在很大浮动，确定所述烹饪策略为第三烹饪策略，所述第三烹饪策略用于表征烹饪模式的切换。
S104、在所述烹饪策略为所述第三烹饪策略时，控制所述烹饪设备执行烹饪模式的切换。
在本实施例中，在确定烹饪策略为第三烹饪策略时，控制烹饪设备执行烹饪模式的切换，也即，由自动烹饪模式切换为手动烹饪模式，在切换为手动模式后，在烹饪过程中的各个阶段生成提醒消息，以提醒用户执行与该提醒消息相对应的操作，例如，在烹饪时长为10s时，提醒用户添加酱油；在烹饪时长为500s时，提醒用户添加食盐，在手动烹饪模式下，提醒添加调料信息(食盐、酱油等)的量需要根据用户的需求进行设定。在手动烹饪模式下，因为实际添加的目标食材远超出电子菜谱中包含的所述目标食材对应的标准重量值的预置范围，用户根据实际需要有多种选择，第一种选择：包含手动增减调料信息等修改目标电子菜谱的操作后，再切换为自动烹饪模式；第二种选择是直接切换为手动烹饪模式后，电子菜谱失效，由用户根据个性化选择去做手动烹饪，包含手动添加调料信息，手动操作烹饪设备等，最后完成目标食材的烹饪。
在本公开实施例的某些实施方案中，在第一电子菜谱与第二 电子菜谱中均包括目标食材时，可从第一电子菜谱与第二电子菜谱选择一个作为目标电子菜谱，进而将该目标电子菜谱中目标食材对应的标准重量值、第一重量阈值、第二重量阈值、第三重量阈值和第四重量阈值及对应的烹饪策略移至另一菜谱中。
(场景一)
目标电子菜谱为：红烧排骨
相应地，排骨的标准重量值为：100g，食盐的标准重量值为10g，酱油的标准重量值为10g，烹饪时长为：600S，第一重量阈值为90g，第二重量阈值为110g，第三重量阈值为70g，第四重量阈值为150g。
在排骨添加完时，该排骨的重量信息为130g，该重量信息大于所述第二重量阈值且小于等于第四重量阈值，则目标食材的烹饪策略为第二烹饪策略。
相应地，预设调料信息和预设烹饪调料具体为：
预设调料信息(食盐)为：
(130-100)/(150-110)*5g+10g＝13.75g；
预设调料信息(酱油)为：
(130-100)/(150-110)*3g+10g＝12.25g；
预设烹饪信息(烹饪时长)为：
(130-100)/(150-110)*600+600＝1050s。
因此，烹饪设备在对排骨烹饪过程中，将控制盛放食盐的料盒添加食盐的量由10g切换至13.75g，控制盛放酱油的料盒添加酱油的量由10g切换至12.25g，以及控制烹饪时长由600s切换至1050s。
(场景二)
目标电子菜谱为：红烧排骨
相应地，排骨的标准重量值为：100g，食盐的标准重量值为10g，酱油的标准重量值为10g，烹饪时长为：600S，第一重量阈值为90g，第二重量阈值为110g，第三重量阈值为70g，第四重量阈值为150g。
在排骨添加完时，该排骨的重量信息为95g，该重量信息大于 等于第三重量阈值且小于第一重量阈值，则目标食材的烹饪策略为第二烹饪策略。
相应地，预设调料信息和预设烹饪调料具体为：
预设调料信息(食盐)为：
(95-100)/(90-70)*5g+10g＝7.75g；
预设调料信息(酱油)为：
(95-100)/(90-70)*3g+10g＝9.25g；
预设烹饪信息(烹饪时长)为：
(95-100)/(90-70)*600+600＝450s。
因此，烹饪设备在对排骨烹饪过程中，将控制盛放食盐的料盒添加食盐的量由10g切换至7.75g，控制盛放酱油的料盒添加酱油的量由10g切换至9.25g，以及控制烹饪时长由600s切换至450s。
(场景三)
目标电子菜谱为：红烧排骨
相应地，排骨的标准重量值为：100g，食盐的标准重量值为10g，酱油的标准重量值为10g，烹饪时长为：600S，第一重量阈值为90g，第二重量阈值为110g，第三重量阈值为70g，第四重量阈值为150g。
在排骨添加完时，该排骨的重量信息为105g，该重量信息大于等于第一重量阈值且小于等于第二重量阈值，则目标食材的烹饪策略为第一烹饪策略；
因此，烹饪设备在对排骨烹饪过程中，将控制盛放食盐的料盒添加食盐10g，控制盛放酱油的料盒添加酱油10g，以及控制烹饪时长为600s。
(场景四)
目标电子菜谱为：红烧排骨
相应地，排骨的标准重量值为：100g，食盐的标准重量值为10g，酱油的标准重量值为10g，烹饪时长为：600S，第一重量阈值为90g，第二重量阈值为110g，第三重量阈值为70g，第四重量阈值为150g。
在排骨添加完时，该排骨的重量信息为65g，该重量信息小于等于第三重量阈值，则目标食材的烹饪策略为第三烹饪策略；
也即，控制烹饪设备执行烹饪模式的切换，由自动烹饪模式切换为手动烹饪模式。
(场景五)
目标电子菜谱为：红烧排骨
相应地，排骨的标准重量值为：100g，食盐的标准重量值为10g，酱油的标准重量值为10g，烹饪时长为：600s，第一重量阈值为90g，第二重量阈值为110g，第三重量阈值为70g，第四重量阈值为150g。
在排骨添加完时，该排骨的重量信息为200g，该重量信息大于等于第四重量阈值，则目标食材的烹饪策略为第三烹饪策略；
也即，控制烹饪设备执行烹饪模式的切换，由自动烹饪模式切换为手动烹饪模式。
图15为本公开实施例提供的一烹饪控制装置的结构示意图，如图15所示，该装置具体包括：
第一获取模块601，用于获取目标电子菜谱，所述目标电子菜谱为针对目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；
第二获取模块602，用于在确定所述目标食材添加完时，获取所述目标食材的重量信息；
确定模块603，用于根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；
控制模块604，用于按照所述烹饪策略对所述目标食材进行烹饪。
本实施例提供的电子设备可以是如图15中所示的烹饪控制装置，可执行如图11-14中烹饪控制方法的所有步骤，进而实现图11-14所示烹饪控制方法的技术效果，具体请参照图11-14相关描述，为简洁描述，在此不作赘述。
图16为本公开实施例提供的另一烹饪控制装置的结构示意图，如图16所示，该装置具体包括：
获取模块701，用于获取目标食材的重量信息；
确定模块702，用于根据所述重量信息确定所述目标食材的烹饪策略；
控制模块703，用于按照所述烹饪策略对所述目标食材进行烹饪。
本实施例提供的电子设备可以是如图14中所示的烹饪控制装置，可执行如图10中烹饪控制方法的所有步骤，进而实现图10所示烹饪控制方法的技术效果，具体请参照图10相关描述，为简洁描述，在此不作赘述。
本公开实施例还提供了存储介质(计算机可读存储介质)。这里的存储介质存储有一个或者多个程序。其中，存储介质可以包括易失性存储器，例如随机存取存储器；存储器也可以包括非易失性存储器，例如只读存储器、快闪存储器、硬盘或固态硬盘；存储器还可以包括上述种类的存储器的组合。
当存储介质中一个或者多个程序可被一个或者多个处理器执行，以实现上述在烹饪设备侧执行的自动打版方法。
在某些实施方案中，所述处理器用于执行存储器中存储的程序，以实现以下在烹饪设备侧执行的上述方法的步骤：
获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；将所 述目标电子菜谱推送至目标设备。
在某些实施方案中，获取对象针对第一电子菜谱集合的触发操作集合；利用所述第一电子菜谱集合和所述触发操作集合确定所述对象的参数。
在某些实施方案中，检测对象对第一电子菜谱集合中第一电子菜谱的触发操作，所述触发操作至少包括以下之一：点击查看操作、收藏操作、加入菜篮子操作、加入烹饪计划操作、烹饪操作或分享操作；将预设时间段内对象对第一电子菜谱集合中第一电子菜谱的触发操作及操作次数作为触发操作集合。
在某些实施方案中，利用所述触发操作、所述操作次数、所述子信息对应的权重、所述子信息对应的时间衰减系数、所述子信息的重要程度确定所述子信息的初始偏好值；对所述初始偏好值进行归一化处理，得到所述子信息对应的偏好值；将得到所述偏好值集合进行向量化处理；将向量化处理后的所述偏好值集合作为所述对象的参数。
在某些实施方案中，基于所述相似度集合对所述第二电子菜谱集合中的全部所述第二电子菜谱进行排序；从排序后的全部所述第二电子菜谱中选取部分或全部所述第二电子菜谱作为目标电子菜谱；或，基于所述相似度集合，从所述第二电子菜谱集合中选取相似度大于设定阈值的所述第二电子菜谱作为目标电子菜谱。
在某些实施方案中，所述第一标签为所述第二标签的父标签，所述第二标签包括一级或多级标签；所述第二标签与所述第一标签的对应的权重，或所述第二标签中的多级标签之间对应的权重逐级衰减。
或，
获取预设时间段内对象对第一电子菜谱集合的触发操作集合；从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息；针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合；将所述偏好值集合作为所述对象的参数。
或，
获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合。
在某些实施方案中，将所述目标电子菜谱推送至目标设备。
在某些实施方案中，所述处理器用于执行存储器中存储的烹饪控制程序，以实现以下在烹饪控制设备侧执行的烹饪控制方法的步骤：
获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；在确定所述目标食材添加完时，获取所述目标食材的重量信息；根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
在某些实施方案中，在所述重量信息大于等于第一重量阈值且小于等于第二重量阈值时，确定所述目标食材的烹饪策略为第一烹饪策略，其中，所述第一重量阈值和所述第二重量阈值由所述标准重量值确定，所述标准重量值大于所述第一重量阈值且小于所述第二重量阈值；在所述烹饪策略为所述第一烹饪策略时，控制烹饪设备按照所述目标烹饪电子菜谱对所述目标食材进行烹饪。
在某些实施方案中，在所述重量信息大于等于第三重量阈值且小于第一重量阈值，或，所述重量信息大于第二重量阈值且小于等于第四重量阈值时，确定所述目标食材的烹饪策略为第二烹饪策略。
在某些实施方案中，所述第一重量阈值、所述第二重量阈值、所述第三重量阈值和所述第四重量阈值由所述目标食材的类型及对应的所述标准重量值确定。
在某些实施方案中，在所述重量信息小于第三重量阈值，或，所述重量信息大于第四重量阈值时，确定所述烹饪策略为第三烹饪策略，所述第三重量阈值和所述第四重量阈值由所述标准重量 值确定；在所述烹饪策略为所述第三烹饪策略时，控制所述烹饪设备执行烹饪模式的切换。
在某些实施方案中，在所述烹饪策略为所述第一烹饪策略时，控制烹饪设备按照所述目标烹饪电子菜谱对所述目标食材进行烹饪。
在某些实施方案中，在所述烹饪策略为所述第二烹饪策略时，获取所述目标电子菜谱中的目标调料信息和目标烹饪时长；针对所述目标调料信息，基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标调料信息进行更新，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标调料信息进行更新，得到预设调料信息；针对所述目标调料信息，基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标烹饪时长进行更新，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标烹饪时长进行更新，得到预设烹饪时长；控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪。
在某些实施方案中，在所述预设调料信息大于等于第五重量阈值，且小于等于第六重量阈值时，执行所述控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪的步骤；在所述预设调料信息小于所述第五重量阈值，或大于所述第六重量阈值时，控制所述烹饪设备执行烹饪模式的切换。
或，
获取所述目标食材的重量信息；根据所述重量信息确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
专业人员应该还可以进一步意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、计算机软件或者二者的结合来实现，为了清楚地说明硬件和软件的可互换性，在上述说明中已经按照功能一般性地描述了各示例的组成及 步骤。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本公开的范围。
结合本文中所公开的实施例描述的方法或算法的步骤可以用硬件、处理器执行的软件模块，或者二者的结合来实施。软件模块可以置于随机存储器(RAM)、内存、只读存储器(ROM)、电可编程ROM、电可擦除可编程ROM、寄存器、硬盘、可移动磁盘、CD-ROM、或技术领域内所公知的任意其它形式的存储介质中。
以上所述的具体实施方式，对本公开的目的、技术方案和有益效果进行了进一步详细说明，所应理解的是，以上所述仅为本公开的具体实施方式而已，并不用于限定本公开的保护范围，凡在本公开的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本公开的保护范围之内。

Claims (23)

  1. 目标电子菜谱的推荐方法，包括：
    获取第二电子菜谱集合；
    获取对象的参数；
    针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；
    基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；
    基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；
    将所述目标电子菜谱推送至目标设备。
  2. 根据权利要求1所述的方法，其中，所述获取对象的参数，包括：
    获取对象针对第一电子菜谱集合的触发操作集合；
    利用所述第一电子菜谱集合和所述触发操作集合确定所述对象的参数。
  3. 根据权利要求2所述的方法，其中，所述获取对象针对第一电子菜谱集合的触发操作集合，包括：
    检测对象对第一电子菜谱集合中第一电子菜谱的触发操作，所述触发操作至少包括以下之一：点击查看操作、收藏操作、加入菜篮子操作、加入烹饪计划操作、烹饪操作或分享操作；
    将预设时间段内对象对第一电子菜谱集合中第一电子菜谱的触发操作及操作次数作为触发操作集合。
  4. 根据权利要求2或3所述的方法，其中，所述利用所述第一电子菜谱集合和所述触发操作集合确定所述对象的参数，包括：
    利用所述触发操作、所述操作次数、所述子信息对应的权重、所述子信息对应的时间衰减系数、所述子信息的重要程度确定所述子信息的初始偏好值；
    对所述初始偏好值进行归一化处理，得到所述子信息对应的偏好值；
    将得到所述偏好值集合进行向量化处理；
    将向量化处理后的所述偏好值集合作为所述对象的参数。
  5. 根据权利要求1至4中任一权利要求所述的方法，其中，所述基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱，包括：
    基于所述相似度集合对所述第二电子菜谱集合中的全部所述第二电子菜谱进行排序；从排序后的全部所述第二电子菜谱中选取部分或全部所述第二电子菜谱作为目标电子菜谱；
    或，
    基于所述相似度集合，从所述第二电子菜谱集合中选取相似度大于设定阈值的所述第二电子菜谱作为目标电子菜谱。
  6. 根据权利要求1至5中任一权利要求所述的方法，其中，所述第一标签为所述第二标签的父标签，所述第二标签包括一级或多级标签；所述第二标签与所述第一标签的对应的权重，或所述第二标签中的多级标签之间对应的权重逐级衰减。
  7. 对象的参数确定方法，包括：
    获取预设时间段内对象对第一电子菜谱集合的触发操作集合；
    从多个维度对所述第一电子菜谱集合进行分析处理，得到所述第一电子菜谱集合对应的多个子信息；
    针对每个所述子信息，利用所述触发操作集合确定每个所述子信息对应的偏好值，得到多个子信息对应的偏好值集合；
    将所述偏好值集合作为所述对象的参数。
  8. 电子菜谱的参数确定方法，包括：
    获取第二电子菜谱集合；
    获取对象的参数；
    针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合。
  9. 烹饪设备，包括：处理器和存储器，所述处理器配置为执行所述存储器中存储的对象的参数确定程序，以实现：
    获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；将所述目标电子菜谱推送至目标设备。
  10. 终端设备，包括：处理器和存储器，所述处理器配置为执行所述存储器中存储的电子菜谱的参数确定方法程序，以实现：
    获取第二电子菜谱集合；获取对象的参数；针对所述第二电子菜谱集合中的任一第二电子菜谱，确定所述第二电子菜谱对应的第一标签和第二标签；确定所述第一标签对应的第一权重，以及所述第二标签对应的第二权重；基于所述第一标签、所述第一权重、所述第二标签和所述第二权重确定所述第二电子菜谱的菜谱向量；确定所述菜谱向量与所述参数的相似度，得到所述第二电子菜谱集合对应的相似度集合；基于所述相似度集合从所述第二电子菜谱集合中选取部分或全部第二电子菜谱作为目标电子菜谱；将所述目标电子菜谱推送至目标设备。
  11. 烹饪控制方法，包括：
    获取目标电子菜谱，所述目标电子菜谱为针对目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；
    在确定所述目标食材添加完时，获取所述目标食材的重量信息；
    根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；
    按照所述烹饪策略对所述目标食材进行烹饪。
  12. 根据权利要求11所述的方法，其中，
    所述根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略，包括：
    在所述重量信息大于等于第一重量阈值且小于等于第二重量阈值时，确定所述目标食材的烹饪策略为第一烹饪策略，其中，所述第一重量阈值和所述第二重量阈值由所述标准重量值确定，所述标准重量值大于所述第一重量阈值且小于所述第二重量阈值；
    所述按照所述烹饪策略对所述目标食材进行烹饪，包括：
    在所述烹饪策略为所述第一烹饪策略时，控制烹饪设备按照所述目标烹饪电子菜谱对所述目标食材进行烹饪。
  13. 根据权利要求11所述的方法，其中，所述根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略，包括：
    在所述重量信息大于等于第三重量阈值且小于第一重量阈值，或，所述重量信息大于第二重量阈值且小于等于第四重量阈值时，确定所述目标食材的烹饪策略为第二烹饪策略。
  14. 根据权利要求12或13所述的方法，其中，所述第一重量阈值、所述第二重量阈值、所述第三重量阈值和所述第四重量阈值由所述目标食材的类型及对应的所述标准重量值确定。
  15. 根据权利要求11所述的方法，其中，
    所述根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略，包括：
    在所述重量信息小于第三重量阈值，或，所述重量信息大于第四重量阈值时，确定所述烹饪策略为第三烹饪策略，所述第三重量阈值和所述第四重量阈值由所述标准重量值确定；
    所述按照所述烹饪策略对所述目标食材进行烹饪，包括：
    在所述烹饪策略为所述第三烹饪策略时，控制所述烹饪设备执行烹饪模式的切换。
  16. 根据权利要求11所述的方法，其中，所述按照所述烹饪策略对所述目标食材进行烹饪，包括：
    在所述烹饪策略为所述第二烹饪策略时，获取所述目标电子菜 谱中的目标调料信息和目标烹饪时长；
    针对所述目标调料信息，基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标调料信息进行更新，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标调料信息进行更新，得到预设调料信息；
    针对所述目标调料信息，基于所述重量信息、所述第一重量阈值、所述第三重量阈值对所述目标烹饪时长进行更新，或，基于所述重量信息、所述第二重量阈值、所述第四重量阈值对所述目标烹饪时长进行更新，得到预设烹饪时长；
    控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪。
  17. 根据权利要求16所述的方法，其中，
    所述对所述目标调料信息进行更新，包括：
    所述目标调料信息根据所述重量信息和所述标准重量值进行线性调整。
    所述对所述目标烹饪时长进行更新，包括：
    所述目标烹饪时长根据所述重量信息和所述标准重量值进行线性调整。
  18. 根据权利要求16或17所述的方法，还包括：
    在所述预设调料信息大于等于第五重量阈值，且小于等于第六重量阈值时，执行所述控制烹饪设备按照所述预设调料信息和所述预设烹饪时长对所述目标食材进行烹饪的步骤；
    在所述预设调料信息小于所述第五重量阈值，或大于所述第六重量阈值时，控制所述烹饪设备执行烹饪模式的切换。
  19. 烹饪控制方法，包括：
    获取目标食材的重量信息；
    根据所述重量信息确定所述目标食材的烹饪策略；
    按照所述烹饪策略对所述目标食材进行烹饪。
  20. 烹饪控制装置，包括：
    第一获取模块，配置为获取目标电子菜谱，所述目标电子菜谱 为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；
    第二获取模块，配置为在确定所述目标食材添加完时，获取所述目标食材的重量信息；
    确定模块，配置为根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；
    控制模块，配置为按照所述烹饪策略对所述目标食材进行烹饪。
  21. 烹饪控制装置，包括：
    获取模块，配置为获取目标食材的重量信息；
    确定模块，配置为根据所述重量信息确定所述目标食材的烹饪策略；
    控制模块，配置为按照所述烹饪策略对所述目标食材进行烹饪。
  22. 烹饪设备，包括：处理器和存储器，所述处理器配置为执行所述存储器中存储的程序，以实现：
    获取目标电子菜谱，所述目标电子菜谱为针对所述目标食材进行烹饪的电子菜谱，所述目标电子菜谱中包含有所述目标食材对应的标准重量值；在确定所述目标食材添加完时，获取所述目标食材的重量信息；根据所述重量信息和所述标准重量值确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
  23. 烹饪设备，包括：处理器和存储器，所述处理器配置为执行所述存储器中存储的程序，以实现：
    获取所述目标食材的重量信息；根据所述重量信息确定所述目标食材的烹饪策略；按照所述烹饪策略对所述目标食材进行烹饪。
PCT/CN2023/071304 2022-03-04 2023-01-09 目标电子菜谱的推荐方法、对象的参数确定方法、电子菜谱的参数确定方法、烹饪设备、终端设备、以及烹饪控制方法和装置 WO2023165269A1 (zh)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CN202210215314.8 2022-03-04
CN202210215315.2 2022-03-04
CN202210215314.8A CN114741588A (zh) 2022-03-04 2022-03-04 目标电子菜谱的推荐方法、装置、烹饪设备及终端设备
CN202210215315.2A CN114732291A (zh) 2022-03-04 2022-03-04 烹饪控制方法、装置及烹饪设备

Publications (1)

Publication Number Publication Date
WO2023165269A1 true WO2023165269A1 (zh) 2023-09-07

Family

ID=87883001

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2023/071304 WO2023165269A1 (zh) 2022-03-04 2023-01-09 目标电子菜谱的推荐方法、对象的参数确定方法、电子菜谱的参数确定方法、烹饪设备、终端设备、以及烹饪控制方法和装置

Country Status (1)

Country Link
WO (1) WO2023165269A1 (zh)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN204698314U (zh) * 2015-06-01 2015-10-14 阎卫中 一种智能厨房烹饪系统
CN105747837A (zh) * 2016-04-29 2016-07-13 广东美的厨房电器制造有限公司 烹饪电器及其控制方法
CN108806770A (zh) * 2018-05-16 2018-11-13 北京豆果信息技术有限公司 一种基于用户的膳食推荐方法
CN110335118A (zh) * 2019-07-04 2019-10-15 合肥美的电冰箱有限公司 菜谱推荐方法、菜谱推荐装置以及机器可读存储介质
CN114741588A (zh) * 2022-03-04 2022-07-12 添可智能科技有限公司 目标电子菜谱的推荐方法、装置、烹饪设备及终端设备
CN114732291A (zh) * 2022-03-04 2022-07-12 添可智能科技有限公司 烹饪控制方法、装置及烹饪设备

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN204698314U (zh) * 2015-06-01 2015-10-14 阎卫中 一种智能厨房烹饪系统
CN105747837A (zh) * 2016-04-29 2016-07-13 广东美的厨房电器制造有限公司 烹饪电器及其控制方法
CN108806770A (zh) * 2018-05-16 2018-11-13 北京豆果信息技术有限公司 一种基于用户的膳食推荐方法
CN110335118A (zh) * 2019-07-04 2019-10-15 合肥美的电冰箱有限公司 菜谱推荐方法、菜谱推荐装置以及机器可读存储介质
CN114741588A (zh) * 2022-03-04 2022-07-12 添可智能科技有限公司 目标电子菜谱的推荐方法、装置、烹饪设备及终端设备
CN114732291A (zh) * 2022-03-04 2022-07-12 添可智能科技有限公司 烹饪控制方法、装置及烹饪设备

Similar Documents

Publication Publication Date Title
JP7077506B2 (ja) 食材識別に基づく食品の調理方法及びシステム
US20190034556A1 (en) Method, apparatus and refrigerator for recipe recommendation
CN109243579B (zh) 熟食营养数据的处理方法、系统、存储介质及终端
JP2007334605A (ja) 料理情報処理装置、料理情報処理方法、料理情報処理プログラム、および記録媒体
CN108255084B (zh) 基于中控设备的烹饪控制方法及厨房管家机器人
CN110706131A (zh) 一种创作电子菜谱的方法、装置、电子设备及存储介质
US20160029836A1 (en) Recipe information processing apparatus, cooking apparatus, and recipe information processing method
CN110472153B (zh) 菜谱的推荐方法、系统、设备及存储介质
CN110853732A (zh) 一种数字菜谱的生成方法及电子设备
JP6410069B1 (ja) レシピ情報提供装置、レシピ情報提供方法およびレシピ情報提供プログラム
CN114741588A (zh) 目标电子菜谱的推荐方法、装置、烹饪设备及终端设备
CN113158018A (zh) 食谱推荐方法、冰箱、计算机可读存储介质
WO2023165269A1 (zh) 目标电子菜谱的推荐方法、对象的参数确定方法、电子菜谱的参数确定方法、烹饪设备、终端设备、以及烹饪控制方法和装置
US20190251202A1 (en) Smart recipe recommendation apparatus, method thereof and automatic cooking apparatus
JP2019133624A (ja) レシピ情報提供装置、レシピ情報提供方法およびレシピ情報提供プログラム
CN108415307B (zh) 一种烹饪控制方法及装置、烹饪器
CN112163006A (zh) 一种信息处理方法、装置、电子设备及存储介质
JP7361358B2 (ja) レシピ抽出装置、レシピ抽出方法、及びプログラム
WO2021056829A1 (zh) 菜谱比较方法、装置及计算机存储介质
CN113139120A (zh) 电子设备及食谱的推荐方法和装置
JP4237695B2 (ja) レシピカスタマイズ支援システム及び方法
CN111145869B (zh) 菜谱调整方法、存储介质及电子设备
CN112700842B (zh) 一种家庭饮食方案推荐方法
CN111460278B (zh) 一种食谱推荐方法及系统
TWI664599B (zh) 智慧食譜選擇裝置、其方法及自動烹飪裝置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23762670

Country of ref document: EP

Kind code of ref document: A1