WO2017143701A1 - 基于食材用量的信息处理方法与装置 - Google Patents

基于食材用量的信息处理方法与装置 Download PDF

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Publication number
WO2017143701A1
WO2017143701A1 PCT/CN2016/086196 CN2016086196W WO2017143701A1 WO 2017143701 A1 WO2017143701 A1 WO 2017143701A1 CN 2016086196 W CN2016086196 W CN 2016086196W WO 2017143701 A1 WO2017143701 A1 WO 2017143701A1
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information
food
user
food material
eating habit
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PCT/CN2016/086196
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English (en)
French (fr)
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曾浩
党广明
唐鹰
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青岛海尔股份有限公司
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0202Market predictions or forecasting for commercial activities

Definitions

  • the invention relates to the field of information processing, in particular to an information processing method and device based on the amount of food materials.
  • Internet + is a new form of Internet development, and it is also a new form of economic and social development that has been promoted by the innovation of the knowledge of the Internet.
  • Internet + is "Internet + various traditional industries", using information technology and Internet platform, so that the Internet and traditional industries can be deeply integrated.
  • the present invention has been made in order to provide a recipe-based information processing method and apparatus that overcomes the above problems or at least partially solves the above problems.
  • a further object of the invention is to make full use of the information on the amount of ingredients used.
  • a further object of the invention is to improve the accuracy of statistical data.
  • a further object of the invention is to promote the development of a food storage facility ecosystem.
  • the present invention provides an information processing method based on the amount of foodstuff.
  • the information processing method based on the amount of the food material includes: receiving the information of the food material provided by the food material storage device; calculating the information of the food material using the collaborative filtering algorithm, determining the eating habit information of the user of the food material storage device; and obtaining the food material storage
  • the specific information of the user of the device, the specific information includes one or more of the following: geographical, age, gender, occupation, time of taking the food; collecting the eating habits of multiple users and the specific information of the user, and using the clustering algorithm It analyzes and determines the characteristic information of users with the same dietary habits.
  • the step of determining the eating habit information of the user of the food material storage device further comprises: returning corresponding food material information to the user terminal according to the eating habit information for output to the user, wherein the food material information comprises one or more of the following: Ingredients information, food purchase channel information, and food storage methods.
  • the step of determining the feature information of the user with the same eating habits further comprises: feeding the eating habit information and the feature information of the user to the data platform to implement data sharing.
  • scanning the food package by means of radio frequency identification communication to obtain access information of the food item; and/or The information on the access to the ingredients is obtained by the food management software preset in the user terminal.
  • the method further includes: outputting, by using the characteristic information of the user, the food information corresponding to the eating habit to the user having the characteristic information, where the food information includes the following or A number of items: information on the introduction of ingredients, information on the purchase channels of ingredients, and information on the storage methods of ingredients.
  • an information processing apparatus based on the amount of foodstuff.
  • the information processing device based on the amount of the food material includes: an information receiving module configured to receive the information of the food material provided by the food material storage device; and an information determining module configured to calculate the information of the food material using the collaborative filtering algorithm to determine the food material
  • the eating habit information of the user of the storage device includes: the user information obtaining module is configured to obtain specific information of the user of the food storage device, and the specific information includes one or more of the following: region, age, gender, occupation, time of taking the food; characteristics
  • the determining module is configured to collect the eating habit information of the plurality of users and the specific information of the user, and analyze the information by using a clustering algorithm to determine the characteristic information of the user with the same eating habit.
  • the information determining module is further configured to: return corresponding food material information to the user terminal according to the eating habit information for output to the user, wherein the food material information comprises one or more of the following: food introduction information, food purchase channel information Information on the storage method of ingredients.
  • the information processing device based on the consumption of the food material further comprises: a data feedback module configured to feed the dietary habit information and the characteristic information of the user to the data platform to implement data sharing.
  • the information receiving module is further configured to: scan the food package by means of radio frequency identification communication to obtain the information of the food material; and/or obtain the information of the food material by using the food material management software preset in the user terminal. .
  • the data feedback module is further configured to: output the food information corresponding to the eating habit to the user having the characteristic information by using the characteristic information of the user, where the information of the food material comprises one or more of the following: food introduction information, food purchase channel information Information on the storage method of ingredients.
  • the information processing method and device based on the dosage of the foodstuff of the present invention receives the information of the foodstuffs provided by the foodstuff storage device, and uses the collaborative filtering algorithm to calculate the information of the foodstuffs, and determines the eating habit information of the user of the foodstuff storage device. And obtain the specific information of the users of the multiple food storage devices, analyze them by clustering algorithm, determine the characteristic information of the users with the same dietary habits, and make full use of the information of the ingredients, and use the big data statistical algorithm to improve the statistics. The accuracy of the data, in order to push the corresponding information to the user, improve the user experience.
  • the information processing method and apparatus for the food material usage according to the present invention determine the eating habit information of the user of the food material storage device, the corresponding food material information can be returned to the user terminal, and the pertinence of pushing the information to the user is improved, and the user's Use experience and increase the success rate of food sales.
  • the information processing method and apparatus based on the dosage of the present invention are the same in determining the eating habits.
  • the user's characteristic information and dietary habit information can be fed back to the data platform, so that various data platforms can push the corresponding food material information to the user with the same characteristic information, thereby improving the accuracy of pushing the information to the user. Avoid the efficiency degradation caused by information asymmetry, effectively improve the user experience and the circulation efficiency of the entire food supply industry, and promote the development of the entire "Internet +" food storage equipment ecosystem.
  • FIG. 1 is a schematic diagram of an application environment architecture of an information processing apparatus based on the amount of ingredients used according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of an information processing apparatus based on the amount of foodstuffs according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of an information processing apparatus based on the amount of foodstuffs according to another embodiment of the present invention.
  • FIG. 4 is a schematic diagram of an information processing method based on the amount of foodstuffs according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of an information processing method based on the amount of foodstuffs according to another embodiment of the present invention.
  • the embodiment provides an information processing device based on the amount of the food material, which can provide corresponding feedback information to the user or the data platform based on the information of the food material.
  • 1 is a schematic diagram of an application environment architecture of an information processing apparatus based on the amount of foodstuffs according to an embodiment of the present invention. It should be noted that the information processing device based on the amount of the food material may be implemented based on the food material storage device, or may be applied to any other smart terminal device completely independently of the food material storage device.
  • the food material storage device 100 can perform data interaction with the home appliance management cloud server 200 through a network.
  • the food material storage device 100 can be directly connected to the cloud server 200 through a network device such as a router.
  • the cloud server 200 can receive the retrieval information of the food materials provided by the food material storage device 100, and calculate the utilization information to determine the eating habit information of the user of the food material storage device 100.
  • the food material storage device 100 may be a refrigerator, a freezer, a wine cabinet, or other device capable of storing foodstuffs.
  • the cloud server 200 uses a collaborative filtering algorithm when calculating the information on the food material intake, and uses the collaborative filtering algorithm to calculate the information of the food material, and the information data of the food material can be obtained according to the region, the food material category, and the date and time. Classification, statistics and calculations to obtain the user's eating habits information, using the user's eating habits information to push information to the user, or to satisfy the food supplier's targeted service to the user.
  • the cloud server 200 can also obtain specific information of the user of the food material storage device 100, collect the eating habit information of the plurality of users and the specific information of the user, and analyze the information by using a clustering algorithm to determine the feature information of the user with the same eating habit. Through these feature information, the characteristics of users with similar tastes can be determined, which facilitates deep information mining and application.
  • Cluster analysis is a statistical analysis method for studying classification problems, and it is also an important algorithm for data mining.
  • Cluster analysis consists of several patterns. Usually, a pattern is a vector of measures or a point in a multidimensional space. Cluster analysis is based on similarity, with more similarities between patterns in one cluster than patterns that are not in the same cluster.
  • collaborative filtering is used to determine the behavior or preferences of the user
  • the clustering algorithm is used to analyze the information of the user itself.
  • the analysis, calculation and statistical object of the collaborative filtering algorithm are the information of the access to the ingredients, and the user's eating habit information is determined, for example, the user likes to eat spicy or light, the user likes to eat vegetables or meat; and the analysis of the clustering algorithm
  • the calculation, the statistical object is the specific information of the user, and the characteristic information of the user having the same eating habit is determined, for example, the area in which the user having a certain eating habit is determined, the gender of the user, and the age level of the user are determined. User's occupation and so on.
  • This embodiment utilizes a big data statistical algorithm to effectively improve the accuracy of statistical data.
  • the information processing apparatus includes: an information receiving module 310, an information determining module 320, a user information acquiring module 330, and a feature determining module 340.
  • the information receiving module 310 may be configured to receive the retrieval information of the food material provided by the food material storage device 100.
  • the information receiving module 310 may be further configured to: scan the food package by means of radio frequency identification communication to obtain the access information of the food material; and/or obtain the access information of the food material by using the food material management software preset in the user terminal.
  • the information determining module 320 may be configured to calculate the eating habit information of the user of the food material storing device 100 by using the collaborative filtering algorithm to calculate the fetching information of the food material.
  • the information determining module 320 may be further configured to: return corresponding food material information to the user terminal according to the eating habit information for output to the user, wherein the food material information comprises one or more of the following: food introduction information, food purchase channel information, food storage Way information.
  • the user information obtaining module 330 may be configured to obtain specific information of the user of the food material storage device 100, and the specific information includes one or more of the following: region, age, gender, occupation, and food intake time.
  • the feature determining module 340 can be configured to collect the eating habit information of the plurality of users and the specific information of the user, and analyze the same by using a clustering algorithm to determine the feature information of the user with the same eating habit.
  • the information processing apparatus 300 based on the foodstuff usage amount of the present embodiment receives the intake of the food material provided by the food material storage apparatus 100. Using the information, and using the collaborative filtering algorithm to calculate the access information of the food, determine the eating habit information of the user of the food storage device 100, and obtain the specific information of the user of the plurality of food storage devices, and analyze the information by using a clustering algorithm. To determine the characteristics of the user with the same dietary habits, so as to make full use of the information on the consumption of the ingredients, improve the accuracy of the statistical data, facilitate the push of the corresponding information to the user and improve the efficiency of the use of the data, which can improve the user experience, and It is convenient for the food supplier to accumulate data and improve the efficiency of production and sales.
  • FIG. 3 is a schematic diagram of an information processing apparatus 300 based on the amount of foodstuffs according to another embodiment of the present invention. Based on the previous embodiment, the information processing apparatus 300 based on the amount of the food material can also flexibly increase the setting data feedback module 350.
  • the data feedback module 350 can be configured to feed the dietary habit information and the user's feature information to the data platform for data sharing.
  • the data feedback module 350 may be configured to: output the food information corresponding to the eating habit to the user having the characteristic information by using the characteristic information of the user, and the food information includes one or more of the following: the introduction information of the food, the information of the purchase channel of the food, Information on how to store ingredients.
  • the data platform can be a shopping website for selling all kinds of food materials, a base for selling vegetables, or an industry website for a certain food ingredient.
  • the data platform can push the corresponding food material information to the individual user's eating habits, for example, the purchase information of the fish that the user likes to eat, or the user who has the same characteristic information.
  • the information on the ingredients that correspond to their eating habits is pushed, for example, female users who are in the Sichuan area and are young, can push the information of the ingredients of the spicy pot.
  • the data platform can also use the above-mentioned user's characteristic information to guide its production or sales activities, such as predicting the use of ingredients, scheduling production and transportation in advance, improving the efficiency of the food supplier, and promoting the entire "Internet +" food storage equipment.
  • the development of the ecosystem can also use the above-mentioned user's characteristic information to guide its production or sales activities, such as predicting the use of ingredients, scheduling production and transportation in advance, improving the efficiency of the food supplier, and promoting the entire "Internet +" food storage equipment.
  • the information processing device 300 of the food material After determining the eating habit information of the user of the food material storage device 100, the information processing device 300 of the food material according to the present embodiment can return the corresponding food material information to the user terminal, improve the pertinence of pushing the information to the user, and improve the user experience. And increase the success rate of the sale of ingredients.
  • the information processing apparatus 300 based on the food material usage of the embodiment can further feed back the user's characteristic information and dietary habit information to the data platform after determining the characteristic information of the user with the same eating habit, so that various data platforms can be Pushing the corresponding food material information to users with the same characteristic information can improve the accuracy of pushing information to the user, avoid the efficiency degradation caused by information asymmetry, effectively improve the user experience and the circulation efficiency of the entire food supply industry, and promote the whole The development of the “Internet +” ecosystem of food storage equipment.
  • the embodiment of the present invention further provides an information processing method based on the amount of the food material, and the information processing method based on the food material dosage can be executed by the information processing device 300 based on the food material dosage of any of the above embodiments to improve the feeding of the food to the user.
  • the accuracy of the information. 4 is a schematic diagram of an information processing method based on the amount of foodstuffs according to an embodiment of the present invention, the information processing method based on the amount of ingredients used includes:
  • Step S402 receiving the information of the food material provided by the food material storage device 100;
  • Step S404 calculating, by using a collaborative filtering algorithm, information on the food intake, and determining the eating habit information of the user of the food storage device 100;
  • Step S406 the specific information of the user of the food material storage device 100 is obtained, and the specific information includes one or more of the following: region, age, gender, occupation, and time of taking the food;
  • Step S408 collecting dietary habit information of a plurality of users and specific information of the user, and analyzing the information by using a clustering algorithm to determine feature information of the user with the same eating habit.
  • the food package may be scanned by means of radio frequency identification communication to obtain the information of the food material; and/or the material information of the food material is obtained by using the food material management software preset in the user terminal.
  • the user terminal may be a food material management terminal disposed on the food material storage device 100, and the food material management terminal may have a display screen for displaying the food material information, wherein the food material information includes one or more of the following: food introduction information, food purchase Channel information, information on how to store food.
  • step S404 when the utilization information of the food material is calculated by the collaborative filtering algorithm, the information data of the food material can be classified, counted, and calculated according to the region, the food material category, and the date and time to obtain the user's eating habit information.
  • the dietary habits of users in different regions can be obtained.
  • the ingredients used in the Sichuan-Yunnan region are pepper, pepper, and bean paste. It can be concluded that the eating habits of users in the area are spicy foods; for example, the ingredients used in coastal areas are fish, shrimp, scallops, and crabs. It can be concluded that the eating habits of users in the area are like eating seafood.
  • the information data of the materials used for classification, statistics and calculation can be used to obtain the user's usage and frequency of different ingredients, so as to obtain the user's eating habits. For example, if the meat ingredients are used in a large amount, it can be concluded that the user likes to eat meat; for example, the vegetable ingredients are taken in a large amount, and the user is expected to eat vegetables.
  • the classification, statistics and calculation of the information on the access to the ingredients according to the date and time can be used to obtain the dietary habit information of the users in different time periods. For example, if the ingredients used in the morning are porridge soup, it can be concluded that the user's eating habit is to eat light food in the morning; for example, the ingredients used at noon are meat, and it can be concluded that the user's eating habit is noon. Class to supplement energy.
  • the information processing method based on the amount of the foodstuff receives the information on the intake of the food provided by the food storage device 100, and calculates the access information of the food using the collaborative filtering algorithm to determine the eating habits of the user of the food storage device 100.
  • Information and obtain specific information of users of multiple food storage devices, analyze them by clustering algorithm, and determine the characteristic information of users with the same dietary habits, so as to make full use of the information of the ingredients, and improve the accuracy of statistical data. It is convenient to push the corresponding information to the user and improve the use efficiency of the data, thereby improving the user experience. It is also convenient for the food supplier to accumulate data and improve the efficiency of production and sales.
  • FIG. 5 is a schematic diagram of an information processing method based on the amount of foodstuffs according to another embodiment of the present invention. As shown in FIG. 5, the information processing method based on the amount of the food material includes:
  • Step S502 receiving the information of the food material provided by the food material storage device 100;
  • Step S504 calculating, by using a collaborative filtering algorithm, the information of the food material acquisition, and determining the eating habit information of the user of the food material storage device 100;
  • Step S506 returning corresponding food material information to the user terminal according to the eating habit information for output to the user, wherein the food material information comprises one or more of the following: food introduction information, food purchase channel information, and food storage mode information;
  • Step S508 the specific information of the user of the food material storage device 100 is obtained, and the specific information includes one or more of the following: region, age, gender, occupation, and time of taking the food;
  • Step S510 collecting dietary habit information of a plurality of users and specific information of the user, and analyzing the information by using a clustering algorithm to determine feature information of the user with the same eating habit;
  • Step S512 feeding the dietary habit information and the characteristic information of the user to the data platform to implement data sharing;
  • Step S514 using the characteristic information of the user, output the food material information corresponding to the eating habit to the user having the characteristic information, and the food material information includes one or more of the following: the food introduction information, the food purchase channel information, and the food storage mode information.
  • the cloud server 200 receives the information of the food materials provided by the food material storage device 100, and uses the collaborative filtering algorithm to calculate the information of the food materials, and determines the eating habit information of the plurality of users as like eating.
  • Spicy incense pot according to which the corresponding food material information can be returned to the user terminal of the user for output to the user, wherein the food material information can include one or more of the following: spicy hot pot seasoning, various vegetables and meats required Introduction information, purchase channels, storage methods, etc.
  • the user terminal may be a food material management terminal disposed on the food material storage device 100, and the food material management terminal may have a display screen for displaying the food material information, and the user terminal may also be other smart terminals, such as a mobile phone, a tablet computer, or the like.
  • specific information of these users may also be obtained, mainly including the user's region, age, gender, occupation, time of taking materials, etc., and analyzed by a clustering algorithm to determine that most of the users who like to eat spicy hot pots In the Sichuan region, and between the ages of 20 and 30, this information is fed back to the data platform, so that various data platforms can push the corresponding food information to users with the same characteristic information to achieve data sharing, for example, to Sichuan.
  • the data platform can guide its production or sales activities, such as predicting the amount of food used, to arrange production and transportation in advance, and improve the efficiency of the food supplier.
  • the information processing method based on the food material usage amount of the embodiment can return the corresponding food material information to the user terminal, improve the pertinence of pushing the information to the user, and improve the user experience. And improve the success rate of the sale of food.
  • the information processing method based on the food material usage of the embodiment may further feed back the user's characteristic information and dietary habit information to the data platform after determining the feature information of the user with the same eating habit, so that various data platforms can Users with the same characteristic information push the corresponding food information, which can improve the accuracy of pushing information to the user, avoid the efficiency degradation caused by information asymmetry, effectively improve the user experience and the circulation efficiency of the entire food supply industry, and promote the whole " The development of the Internet +" ecosystem of food storage equipment.

Abstract

一种基于食材用量的信息处理方法与装置,其中该基于食材用量的信息处理方法包括:接收由食材储藏设备提供的食材的取用信息(S402);利用协同过滤算法对食材的取用信息进行计算,确定食材储藏设备的用户的饮食习惯信息(S404);获取食材储藏设备的用户的具体信息(S406),具体信息包括以下一项或多项:地域、年龄、性别、职业、食材取用时间;收集多个用户的饮食习惯信息以及用户的具体信息,并利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息(S408)。该基于食材用量的信息处理方法与装置,通过对食材用量的信息充分利用,利用大数据统计算法提高了统计数据的准确性,以便实现向用户推送相应信息,提高用户的使用体验。

Description

基于食材用量的信息处理方法与装置 技术领域
本发明涉及信息处理领域,特别是涉及一种基于食材用量的信息处理方法与装置。
背景技术
“互联网+”是互联网发展的新业态,也是知识社会创新推动下的互联网形态演进及其催生的经济社会发展新形态。通俗地说,“互联网+”就是“互联网+各个传统行业”,利用信息技术以及互联网平台,使互联网与传统行业可以深度融合。
在目前现行“互联网+”的潮流之下,分析用户的行为习惯是一个重点,而对用户的饮食习惯的分析则是“互联网+”中冰箱生态圈涉及O2O生鲜方面的重点。但是目前相关领域并没有成型的技术,可以对用户的饮食习惯进行正确的分析,只有用户访问后反馈等途径,效率低下,影响用户的使用体验,并且会影响互联网行业新业态的发展。
发明内容
鉴于上述问题,提出了本发明以便提供一种克服上述问题或者至少部分地解决上述问题的基于食谱的信息处理方法与装置。
本发明的一个进一步的目的是充分利用食材用量的信息。
本发明的一个进一步的目的是提高统计数据的准确性。
本发明的一个进一步的目的是促进食材储藏设备生态圈发展。
特别地,本发明提供了一种基于食材用量的信息处理方法。该基于食材用量的信息处理方法包括:接收由食材储藏设备提供的食材的取用信息;利用协同过滤算法对食材的取用信息进行计算,确定食材储藏设备的用户的饮食习惯信息;获取食材储藏设备的用户的具体信息,具体信息包括以下一项或多项:地域、年龄、性别、职业、食材取用时间;收集多个用户的饮食习惯信息以及用户的具体信息,并利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息。
可选地,确定食材储藏设备的用户的饮食习惯信息的步骤之后还包括:根据饮食习惯信息向用户终端返回相应的食材信息,以供向用户输出,其中食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
可选地,确定饮食习惯相同的用户的特征信息的步骤之后还包括:将饮食习惯信息以及用户的特征信息反馈给数据平台,以实现数据共享。
可选地,利用无线射频识别通信的方式扫描食物包装以获取食材的取用信息;和/或利 用预设于用户终端中的食材管理软件获取食材的取用信息。
可选地,将饮食习惯信息以及用户的特征信息反馈给数据平台的步骤之后还包括:利用用户的特征信息,向具有特征信息的用户输出对应饮食习惯的食材信息,食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
根据本发明的另一个方面,还提供了一种基于食材用量的信息处理装置。该基于食材用量的信息处理装置包括:信息接收模块,配置成接收由食材储藏设备提供的食材的取用信息;信息确定模块,配置成利用协同过滤算法对食材的取用信息进行计算,确定食材储藏设备的用户的饮食习惯信息;用户信息获取模块,配置成获取食材储藏设备的用户的具体信息,具体信息包括以下一项或多项:地域、年龄、性别、职业、食材取用时间;特征确定模块,配置成收集多个用户的饮食习惯信息以及用户的具体信息,并利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息。
可选地,其中信息确定模块还配置成:根据饮食习惯信息向用户终端返回相应的食材信息,以供向用户输出,其中食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
可选地,该基于食材用量的信息处理装置还包括:数据反馈模块,配置成将饮食习惯信息以及用户的特征信息反馈给数据平台,以实现数据共享。
可选地,其中信息接收模块还配置成:利用无线射频识别通信的方式扫描食物包装以获取食材的取用信息;和/或利用预设于用户终端中的食材管理软件获取食材的取用信息。
可选地,其中数据反馈模块还配置成:利用用户的特征信息,向具有特征信息的用户输出对应饮食习惯的食材信息,食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
本发明的基于食材用量的信息处理方法与装置,接收由食材储藏设备提供的食材的取用信息,并利用协同过滤算法对食材的取用信息进行计算,确定食材储藏设备的用户的饮食习惯信息,并获取多个食材储藏设备的用户的具体信息,利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息,从而对食材用量的信息充分利用,利用大数据统计算法提高了统计数据的准确性,以便实现向用户推送相应信息,提高用户的使用体验。
进一步地,本发明的基于食材用量的信息处理方法与装置,确定食材储藏设备的用户的饮食习惯信息后,可以向用户终端返回相应的食材信息,提高向用户推送信息的针对性,提升用户的使用体验,并且提高食材售出的成功率。
更进一步地,本发明的基于食材用量的信息处理方法与装置,在确定饮食习惯相同的用 户的特征信息后,可以将用户的特征信息与饮食习惯信息反馈给数据平台,以便各种数据平台可以向具有相同特征信息的用户推送相应的食材信息,能够提高向用户推送信息的准确性,避免信息不对称导致的效率下降,有效提高用户使用体验以及整个食材供应产业的流通效率,促进整个“互联网+”中食材储藏设备生态圈的发展。
根据下文结合附图对本发明具体实施例的详细描述,本领域技术人员将会更加明了本发明的上述以及其他目的、优点和特征。
附图说明
后文将参照附图以示例性而非限制性的方式详细描述本发明的一些具体实施例。附图中相同的附图标记标示了相同或类似的部件或部分。本领域技术人员应该理解,这些附图未必是按比例绘制的。附图中:
图1是根据本发明一个实施例的基于食材用量的信息处理装置的应用环境架构示意图;
图2是根据本发明一个实施例的基于食材用量的信息处理装置的示意图;
图3是根据本发明另一个实施例的基于食材用量的信息处理装置的示意图;
图4是根据本发明一个实施例的基于食材用量的信息处理方法的示意图;以及
图5是根据本发明另一个实施例的基于食材用量的信息处理方法的示意图。
具体实施方式
本实施例提供了一种基于食材用量的信息处理装置,可以基于食材取用信息,向用户或数据平台提供相应的反馈信息。图1是根据本发明一个实施例的基于食材用量的信息处理装置的应用环境架构示意图。需要说明的是,该基于食材用量的信息处理装置可以基于食材储藏设备实现功能,也可以完全独立于食材储藏设备而应用于任何其它智能终端设备。
如图1所示,食材储藏设备100可以通过网络与家电管理云服务器200进行数据交互,在一些具体实例中,食材储藏设备100可以通过路由器等网络设备与云服务器200直接进行连接。云服务器200可以接收由食材储藏设备100提供的食材的取用信息,并对这些取用信息进行计算,从而确定食材储藏设备100的用户的饮食习惯信息。食材储藏设备100可以是冰箱、冰柜、酒柜或其它能够储藏食材的设备。
其中,云服务器200对食材取用信息进行计算时采用协同过滤算法,并且利用协同过滤算法对食材的取用信息进行计算时,可以按照区域、食材类别、日期时间对食材的取用信息数据进行分类、统计和计算,从而得出用户的饮食习惯信息,利用用户的饮食习惯信息可以向用户推送信息,也可以满足食材供应方有针对性地向用户提供服务。
云服务器200还可以获取食材储藏设备100的用户的具体信息,收集多个用户的饮食习惯信息以及用户的具体信息,并且利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息,通过这些特征信息可以确定出具有类似品味的用户的特性,便于进行深度信息挖掘和应用。
其中,聚类算法是研究分类问题的一种统计分析方法,同时也是数据挖掘的一个重要算法。聚类分析是由若干模式组成的,通常,模式是一个度量的向量,或者是多维空间中的一个点。聚类分析以相似性为基础,在一个聚类中的模式之间比不在同一聚类中的模式之间具有更多的相似性。
在本实施例中,协同过滤用于确定用户的行为或偏好,而聚类算法用于对用户本身的信息进行分析。协同过滤算法的分析、计算、统计对象为食材的取用信息,确定出的是用户的饮食习惯信息,例如用户喜好吃辣或清淡、用户喜食蔬菜或肉类;而聚类算法的分析、计算、统计对象为用户的具体信息,确定出的是具有相同饮食习惯的用户的特征信息,例如确定出具有某一食材使用习惯的用户所处的区域,用户的性别,用户的年龄层次,用户的职业等等。本实施例利用大数据统计算法,能够有效提高统计数据的准确性。
图2是根据本发明一个实施例的基于食材用量的信息处理装置300的示意图。如图2所示,该信息处理装置包括:信息接收模块310、信息确定模块320、用户信息获取模块330、特征确定模块340。
在以上模块中,信息接收模块310可以配置成接收由食材储藏设备100提供的食材的取用信息。信息接收模块310还可以配置成:利用无线射频识别通信的方式扫描食物包装以获取食材的取用信息;和/或利用预设于用户终端中的食材管理软件获取食材的取用信息。
信息确定模块320可以配置成利用协同过滤算法对食材的取用信息进行计算,确定食材储藏设备100的用户的饮食习惯信息。
信息确定模块320还可以配置成:根据饮食习惯信息向用户终端返回相应的食材信息,以供向用户输出,其中食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
用户信息获取模块330可以配置成获取食材储藏设备100的用户的具体信息,具体信息包括以下一项或多项:地域、年龄、性别、职业、食材取用时间。
特征确定模块340可以配置成收集多个用户的饮食习惯信息以及用户的具体信息,并利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息。
本实施例的基于食材用量的信息处理装置300,接收由食材储藏设备100提供的食材的取 用信息,并利用协同过滤算法对食材的取用信息进行计算,确定食材储藏设备100的用户的饮食习惯信息,并获取多个食材储藏设备的用户的具体信息,利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息,从而对食材用量的信息充分利用,提高统计数据的准确性,便于实现向用户推送相应信息以及提高数据的使用效率,既可以提高用户的使用体验,又便于食材供应方进行数据积累,提高生产销售的效率。
图3是根据本发明另一个实施例的基于食材用量的信息处理装置300的示意图。在上一实施例的基础上,基于食材用量的信息处理装置300还可以灵活增加设置数据反馈模块350。
数据反馈模块350可以配置成将饮食习惯信息以及用户的特征信息反馈给数据平台,以实现数据共享。此外,数据反馈模块350还可以配置成:利用用户的特征信息,向具有特征信息的用户输出对应饮食习惯的食材信息,食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
其中,数据平台可以是各个售卖食材的购物网站,也可以是售卖蔬菜的基地,还可以是某食材的行业网站。数据平台获取用户的饮食习惯信息及特征信息后,既可以针对单个用户的饮食习惯,向其推送相应的食材信息,例如用户喜欢吃的鱼肉的购买信息;也可以针对具备相同特征信息的用户,推送对应其饮食习惯的食材信息,例如同处于四川地区,并且为青年的女性用户,可以向其推送麻辣香锅的食材信息。另外数据平台还可以利用上述用户的特征信息,指导其生产或销售活动,例如预测食材的使用量,以提前安排生产和运输,提高食材提供方的效率,促进整个“互联网+”中食材储藏设备生态圈的发展。
本实施例的基于食材用量的信息处理装置300,确定食材储藏设备100的用户的饮食习惯信息后,可以向用户终端返回相应的食材信息,提高向用户推送信息的针对性,提升用户的使用体验,并且提高食材售出的成功率。
进一步地,本实施例的基于食材用量的信息处理装置300,还可以在确定饮食习惯相同的用户的特征信息后,将用户的特征信息与饮食习惯信息反馈给数据平台,以便各种数据平台可以向具有相同特征信息的用户推送相应的食材信息,能够提高向用户推送信息的准确性,避免信息不对称导致的效率下降,有效提高用户使用体验以及整个食材供应产业的流通效率,此外,促进整个“互联网+”中食材储藏设备生态圈的发展。
本发明实施例还提供了一种基于食材用量的信息处理方法,该基于食材用量的信息处理方法可以由以上任一实施例的基于食材用量的信息处理装置300来执行,以提高向用户推送食材信息的准确性。图4是根据本发明一个实施例的基于食材用量的信息处理方法的示意图,该基于食材用量的信息处理方法包括:
步骤S402,接收由食材储藏设备100提供的食材的取用信息;
步骤S404,利用协同过滤算法对食材的取用信息进行计算,确定食材储藏设备100的用户的饮食习惯信息;
步骤S406,获取食材储藏设备100的用户的具体信息,具体信息包括以下一项或多项:地域、年龄、性别、职业、食材取用时间;
步骤S408,收集多个用户的饮食习惯信息以及用户的具体信息,并利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息。
步骤S402中可以利用无线射频识别通信的方式扫描食物包装以获取食材的取用信息;和/或利用预设于用户终端中的食材管理软件获取食材的取用信息。其中,用户终端可以为布置于食材储藏设备100上的食材管理终端,并且食材管理终端可以具有显示屏,以供显示食材信息,其中食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
步骤S404利用协同过滤算法对食材的取用信息进行计算时,可以按照区域、食材类别、日期时间对食材的取用信息数据进行分类、统计和计算,以得出用户的饮食习惯信息。
按照区域对食材的取用信息数据进行分类、统计和计算,可以得出不同区域的用户的饮食习惯信息。例如川渝地区多取用的食材为辣椒、花椒、豆瓣酱,可以得出该地区的用户的饮食习惯为喜吃麻辣的食物;又例如沿海地区多取用的食材为鱼虾、扇贝、螃蟹,可以得出该地区的用户的饮食习惯为喜食海鲜。
按照食材类别对食材的取用信息数据进行分类、统计和计算,可以得出用户对不同食材的用量以及使用频率,从而得到用户的饮食习惯信息。例如对肉类食材取用量较大,可以得出该用户喜食肉类;又例如对蔬菜类食材取用量较大,可以得出该用户喜食蔬菜。
按照日期时间对食材的取用信息数据进行分类、统计和计算,可以得出不同时间段的用户的饮食习惯信息。例如早上多取用的食材为粥汤,可以得出该用户的饮食习惯为早上吃清淡的食物;又例如中午多取用的食材为肉类,可以得出该用户的饮食习惯为中午喜食肉类,以补充能量。
本实施例的基于食材用量的信息处理方法,接收由食材储藏设备100提供的食材的取用信息,并利用协同过滤算法对食材的取用信息进行计算,确定食材储藏设备100的用户的饮食习惯信息,并获取多个食材储藏设备的用户的具体信息,利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息,从而对食材用量的信息充分利用,提高统计数据的准确性,便于实现向用户推送相应信息以及提高数据的使用效率,既可以提高用户的使用体验, 又便于食材供应方进行数据积累,提高生产销售的效率。
图5是根据本发明另一个实施例的基于食材用量的信息处理方法的示意图。如图5所示,该基于食材用量的信息处理方法包括:
步骤S502,接收由食材储藏设备100提供的食材的取用信息;
步骤S504,利用协同过滤算法对食材的取用信息进行计算,确定食材储藏设备100的用户的饮食习惯信息;
步骤S506,根据饮食习惯信息向用户终端返回相应的食材信息,以供向用户输出,其中食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息;
步骤S508,获取食材储藏设备100的用户的具体信息,具体信息包括以下一项或多项:地域、年龄、性别、职业、食材取用时间;
步骤S510,收集多个用户的饮食习惯信息以及用户的具体信息,并利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息;
步骤S512,将饮食习惯信息以及用户的特征信息反馈给数据平台,以实现数据共享;
步骤S514,利用用户的特征信息,向具有特征信息的用户输出对应饮食习惯的食材信息,食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
以下对一个具体实例进行介绍:云服务器200接收由食材储藏设备100提供的食材的取用信息,并利用协同过滤算法对食材的取用信息进行计算,确定多个用户的饮食习惯信息为喜欢吃麻辣香锅,据此可以向这些用户的用户终端返回相应的食材信息,以供向用户输出,其中食材信息可以包括以下一项或多项:麻辣香锅调料、各种所需蔬菜和肉类的介绍信息以及购买渠道、储存方式等。其中,用户终端可以为布置于食材储藏设备100上的食材管理终端,并且食材管理终端可以具有显示屏,以供显示食材信息,用户终端也可以是其它智能终端,例如手机、平板电脑等。
进一步地,还可以获取这些用户的具体信息,主要包括用户的地域、年龄、性别、职业、食材取用时间等,并且利用聚类算法对其进行分析,确定这些喜欢吃麻辣香锅的用户大多处于四川地区,并且年龄都在20至30之间,将这些信息反馈给数据平台,以便各种数据平台可以向具有相同特征信息的用户推送相应的食材信息,实现数据共享,例如向四川地区,并且年龄在20至30之间的用户推送麻辣香锅食材的各种相关信息,上述食材信息可以推送至食材储藏设备100或者其它智能终端,方便用户了解及购买爱好的食材,提升用户体验以及各种食材售出的成功率。根据上述用户的特征信息,数据平台可以指导其生产或销售活动,例如预测食材的使用量,以提前安排生产和运输,提高食材供应方的效率。
本实施例的基于食材用量的信息处理方法,确定食材储藏设备100的用户的饮食习惯信息后,可以向用户终端返回相应的食材信息,提高向用户推送信息的针对性,提升用户的使用体验,并且提高食材售出的成功率。
进一步地,本实施例的基于食材用量的信息处理方法,还可以在确定饮食习惯相同的用户的特征信息后,将用户的特征信息与饮食习惯信息反馈给数据平台,以便各种数据平台可以向具有相同特征信息的用户推送相应的食材信息,能够提高向用户推送信息的准确性,避免信息不对称导致的效率下降,有效提高用户使用体验以及整个食材供应产业的流通效率,此外,促进整个“互联网+”中食材储藏设备生态圈的发展。
至此,本领域技术人员应认识到,虽然本文已详尽示出和描述了本发明的多个示例性实施例,但是,在不脱离本发明精神和范围的情况下,仍可根据本发明公开的内容直接确定或推导出符合本发明原理的许多其他变型或修改。因此,本发明的范围应被理解和认定为覆盖了所有这些其他变型或修改。

Claims (10)

  1. 一种基于食材用量的信息处理方法,包括:
    接收由食材储藏设备提供的所述食材的取用信息;
    利用协同过滤算法对所述食材的取用信息进行计算,确定所述食材储藏设备的用户的饮食习惯信息;
    获取所述食材储藏设备的用户的具体信息,所述具体信息包括以下一项或多项:地域、年龄、性别、职业、食材取用时间;
    收集多个用户的饮食习惯信息以及用户的具体信息,并利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息。
  2. 根据权利要求1所述的方法,其中,确定所述食材储藏设备的用户的饮食习惯信息的步骤之后还包括:
    根据所述饮食习惯信息向用户终端返回相应的食材信息,以供向所述用户输出,其中所述食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
  3. 根据权利要求1所述的方法,其中,确定饮食习惯相同的用户的特征信息的步骤之后还包括:
    将所述饮食习惯信息以及所述用户的特征信息反馈给数据平台,以实现数据共享。
  4. 根据权利要求2所述的方法,其中,
    利用无线射频识别通信的方式扫描食物包装以获取所述食材的取用信息;和/或
    利用预设于所述用户终端中的食材管理软件获取所述食材的取用信息。
  5. 根据权利要求3所述的方法,其中,将所述饮食习惯信息以及所述用户的特征信息反馈给数据平台的步骤之后还包括:
    利用所述用户的特征信息,向具有所述特征信息的用户输出对应所述饮食习惯的食材信息,所述食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
  6. 一种基于食材用量的信息处理装置,包括:
    信息接收模块,配置成接收由食材储藏设备提供的所述食材的取用信息;
    信息确定模块,配置成利用协同过滤算法对所述食材的取用信息进行计算,确定所述食材储藏设备的用户的饮食习惯信息;
    用户信息获取模块,配置成获取所述食材储藏设备的用户的具体信息,所述具体信息包 括以下一项或多项:地域、年龄、性别、职业、食材取用时间;
    特征确定模块,配置成收集多个用户的饮食习惯信息以及用户的具体信息,并利用聚类算法对其进行分析,确定饮食习惯相同的用户的特征信息。
  7. 根据权利要求6所述的装置,其中所述信息确定模块还配置成:
    根据所述饮食习惯信息向用户终端返回相应的食材信息,以供向所述用户输出,其中所述食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
  8. 根据权利要求6所述的装置,还包括:
    数据反馈模块,配置成将所述饮食习惯信息以及所述用户的特征信息反馈给数据平台,以实现数据共享。
  9. 根据权利要求7所述的装置,其中所述信息接收模块还配置成:
    利用无线射频识别通信的方式扫描食物包装以获取所述食材的取用信息;和/或
    利用预设于所述用户终端中的食材管理软件获取所述食材的取用信息。
  10. 根据权利要求8所述的装置,其中所述数据反馈模块还配置成:
    利用所述用户的特征信息,向具有所述特征信息的用户输出对应所述饮食习惯的食材信息,所述食材信息包括以下一项或多项:食材介绍信息、食材购买渠道信息、食材储存方式信息。
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