JP2006293893A - Taste database - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a database with which taste data changing with time can be retrieved and provided to a user and a database with which retrieval can be performed on the basis of individual impressions of foods and drinks. <P>SOLUTION: A first database wherein changes with time of taste data are stored as a function is provided, and a second database wherein taste data of foods and drinks is stored as their identifiers and experiential impressions of them such as "delicious", " bitter", "favorite", and "unfavorite" is provided, because taste impressions are largely changed by memories of tastes and familiarities with tastes based on individuals' dwelling places and lives and food cultures in the times. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  In addition to the numerical taste measurement data by the taste sensing device, the taste measurement data that changes over time, the database that stores the change function, or the numerical taste measurement result by the taste sensing device, the same food and drink It is related with the database which accumulates data such as taste impression of the individual who is greatly different.

  Currently, Patent Document 1 and other documents disclose a technology relating to a taste sensing device using a taste sensor of a lipid polymer film simulating a taste cell of a human tongue. These taste sensing devices measure changes in membrane potential caused by substances that give taste like the human tongue with each taste sensor corresponding to sourness, bitterness, salty taste, etc., and measure them as numerical taste data. Therefore, it is possible to measure the degree of taste equivalent to the taste perceived by humans without being influenced by the constituent components of the taste substances of food and drink that are specimens.

Therefore, a service for storing taste numerical data measured by the taste sensing device in a database and searching for and providing taste numerical data as required has been started.
Japanese Patent No. 2578370

  However, the taste usually changes over time, for example, the taste deteriorates over time, such as fresh food, or the taste increases over time, such as wine and grapes. . That is, there is a first problem that a conventional database that handles static data cannot provide dynamic taste data corresponding to such a change in taste over time.

  In addition, there is a second problem that there are individual differences in the taste of the same food and drink. For example, it can be determined that coffee A is more bitter than coffee B based on taste data measured by a conventional taste sensing device. However, it is difficult to judge how much bitterness an individual feels as bitter. Some people feel that “both are the same bitterness” for two types of coffee that have numerically approximate bitterness in the measurement of the taste sensing device, while “B is much bitter” There can be people.

  In order to solve the first problem, a first database is provided which stores a change in the numerical value of taste data as a function (a function of production history time). Specifically, the first aspect of the present invention is a first storage unit that stores food and drink taste data as a function of the food and drink identifier and the production history time of the food and drink, the food and drink identifier, A first search information input unit that inputs first search information including a key associated with a history time, and the first storage unit is searched based on the first search information input to the first search information input unit. And a first search unit.

  Thus, when searching for and providing taste data of foods and drinks desired by the user, it is possible to provide numerical data of tastes at the current time, past time, and future time, for example, using a function of production history time. it can.

  In addition to the function of the production history time, a first database is also provided for storing food and drink impression information such as “delicious”, “bitter”, “like”, and “dislike” for the food and drink. Thereby, for example, it is possible to search for the time when the egg tastes the most “delicious” due to changes over time, that is, the time of eating.

  Moreover, in addition to the function of the production history time, a first database is provided for storing the food and drink impression information of the food and drink and the attribute information of the food and drink impression owner. Thereby, for example, it becomes possible to search for food and drink impression information on a certain food and drink by a person of the same birthplace and age as his / her own attribute information as a key. Therefore, even if it is a food that has not been experienced for me, it becomes possible to predict my eating and drinking impression in advance by using the eating and drinking feeling information of the person having the same attribute as me. This is because the impression of taste depends on the memory of the taste and the familiarity with the taste due to the food culture peculiar to the person's living area and growing season. This is because the taste impressions of those who are close to attribute information such as age and living area, and those who are close to taste information such as spicy foods are considered to be similar.

  In addition to the above, there is also provided a database for storing food / drink timing information indicating when the food / drink impression owner eats / drinks with the production history time of the food / drink. As a result, for example, it is possible to search for a time when it is likely to be eaten for even an unexperienced food by using its own attribute information as a key.

  Furthermore, in order to solve the second problem, the taste data of the food and drink is changed to the food and drink identifier and the food and drink such as “delicious”, “bitter”, “like”, and “dislike”. A second database to be stored as impression information is provided.

  Specifically, according to the second aspect of the present invention, a fifth search unit that stores taste data of food and drink as the food and drink identifier and food and drink impression information of the food and drink, and a fifth search including the food and drink identifier. A fifth search information input unit for inputting information, and a fifth search unit for searching the fifth storage unit based on the fifth search information input to the fifth search information input unit. With this second database, it is possible to perform a search based on the impression of food and drink as an individual. Therefore, for example, by using as a search key the coffee of brand A that has held food and drink impression information that “they are delicious” in the past, a new brand of coffee having an approximate value based on the numeric value of the taste data of that brand A You can also search for. Or if it is the generalized average impression with respect to the food and drink with the food-and-drink impression information, it also becomes possible to provide a service called impression search.

  Furthermore, a third database is also provided that stores the food and drink identifier, the food and drink impression information of the food and drink, and the attribute information of the food and drink impression owner. This makes it possible to search for food and drink impression information of a person with the same birthplace and age, etc. for a certain food and drink. You will be able to anticipate in advance.

  Furthermore, a fourth database for storing food / beverage taste data in association with geographic information is also provided. This database makes it possible, for example, to search for differences in the taste data of the Kanto and Kyushu noodle soups, as well as places where the taste of udon noodles near Kyushu can be eaten.

  With the first database, taste data that changes over time can be retrieved and provided to the user. Therefore, the user can know the taste data of the food and drink at the present time, the past, and the future. In addition, it becomes possible to search for and know when to eat and the expiration date.

  In addition, the second database can be used to search based on the impression of the food and drink as an individual, and the coffee of the brand A having the food and drink impression information of “delicious” in the past as a search key. Based on the taste data of the brand A, it is possible to search for a new brand of coffee having similar taste data values.

  In addition, the third database enables you to search for food and beverage impression information for people who have the same attributes as you and your birthplace, age, etc. You will be able to know the food and drink impressions in advance.

  Further, the fourth database makes it possible to search for a difference in taste data for each region, for example, another place where a food having a taste close to the taste of his / her hometown can be eaten.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that the present invention is not limited to these embodiments, and can be implemented in various modes without departing from the spirit of the present invention.

  In the first embodiment, claim 1 will be mainly described.

  In the second embodiment, claim 2 will be mainly described.

  In the third embodiment, claim 3 will be mainly described.

  In the fourth embodiment, claim 4 will be mainly described.

  In the fifth embodiment, claim 5 will be mainly described.

  In the sixth embodiment, claim 6 will be mainly described.

  In the seventh embodiment, claim 7 will be mainly described.

  Here, before describing the databases of the first to sixth embodiments in detail, first, an example of each feature will be briefly described while showing differences in stored information. Of course, the following features are for clarifying and explaining the differences between the embodiments that are likely to be confused, and do not limit the invention itself. Note that the seventh embodiment is characterized by storing map information, and its configuration is unlikely to be confused with the other embodiments, and is therefore omitted.

  The information utilized for Examples 1 to 6 of the present invention is six types of taste data, food and drink identifier, function of production history time, food and drink impression information, food and drink attribute information, and food and drink timing information. And taste data and food and drink identifiers are stored in all databases. Therefore, the database characteristics of each embodiment are expressed by the other four pieces of information. A detailed description including the definition of each storage information will be given in the description of each embodiment.

  As shown in FIG. 25, the first database of Example 1 is characterized by “a function of production history time”. In other words, it is the first database that can search for dynamic information such as searching for taste data of “3 days later” from the function of the production history time of the food and drink specified by the food and drink identifier.

  Further, the second database of the fifth embodiment is characterized by “food and drink impression information”. That is, for example, search for numerical values of taste data of foods and drinks having food taste information of “delicious”, and conversely, search for food taste information about foods and drinks indicated by taste data “sweet 70, sour taste 62”, etc. It is a second database that is possible.

  Further, the third database of the sixth embodiment is characterized by “food and drink impression information” and “food and drink attribute information”. Since the restaurant attribute information is attribute information of the person who has the impression of eating and drinking, it is naturally associated with the eating and drinking impression information. Therefore, in this database, retrieval of eating and drinking impressions and taste data of the egg A of “a man in his thirties”, and retrieval of attribute information of a eating and drinking person whose eating impression of the egg A is “delicious” are performed. It is possible.

  On the other hand, the second, third, and fourth embodiments are characterized by storing the remaining information while including the “function of production history time” in a form dependent on the first database of the first embodiment. . For example, the 1st database of Example 2 further stores food and drink impression information. Therefore, the food and drink impression information can be output as a search key or a search result instead of the numerical value of the taste data. And the difference with Example 5 which stores the same "food-and-drink impression information" is whether the temporal change of taste data is reflected in a search result etc. according to the presence or absence of the "function of production history time", It is.

  In addition, in the database of Example 2, the difference of the food-and-drink impression information by the difference in the time passage of the same food / beverage, ie, the difference of the food-and-drink impression information 3 days after and 7 days after egg A is not clearly distinguished. This is because this distinction is made clear by eating and drinking timing information described later in the fourth embodiment. Therefore, in the second embodiment, it is assumed that the food / drink impression information is used as a search key and the search result is output in a form that does not take such differences into consideration.

  The first database according to the third embodiment further stores restaurant attribute information. Therefore, it is possible to perform a numerical search of taste data of “preferred” tastes of “male in their 30s”. Also, the difference from the sixth embodiment that stores the same “food eating impression information” and “eating and drinking attribute information” is that, according to whether or not the “function of production history time” is stored, the search result or the like is stored over time. Whether changes are reflected.

  The 1st database of Example 4 further stores eating and drinking timing information. As described above, in this database, it is possible to clearly distinguish, for example, “eating and drinking impression information of egg A after 3 days” and “eating and drinking impression information of egg A after 7 days”. That is, one of the features is that the difference in the eating and drinking timing can be distinguished with respect to the search result and the search key.

  Example 1

    <Overview>

  FIG. 1 is a diagram for explaining an example of the concept of the information providing service using the first database according to the present embodiment. As shown in this figure, the consumer is worried about whether the eggs are still eaten in front of the previously purchased eggs (1). Here, the consumer takes a two-dimensional barcode attached to the egg in advance with a mobile phone, and reads the information contained in the barcode into the mobile phone. Then, from the barcode information, information that this egg was collected on “November 10” at “◯ × chicken farm” is acquired by the mobile phone. Further, information on the current date “November 17” is also acquired from the built-in calendar of the mobile phone (2). In addition, the consumer also inputs information on the storage state of the egg, such as the temperature in the refrigerator where the egg was stored, into the mobile phone, and this information is stored in the first database of this embodiment via the network. (3). In the first database, based on the transmitted information, reference is made to information such as a function of the temporal change of taste stored in itself, and “Taste data of eggs collected at a poultry farm and passed 7 days is , “Sour taste is 120” and “Umami is 79.” A taste similar to this taste is the egg you ate on October 20th… ”. The generated information is transmitted to the consumer's mobile phone and displayed (4).

  In this way, the first database of the present embodiment enables the consumer to know the taste data that has changed over time, such as taste data at the current time of food and drink.

  In addition, as will be described later, by knowing the numerical data of the taste after change over time, for example, it is possible to know the own quality retention period by comparing with the numerical data of the taste experienced by the consumer before. . Therefore, it is possible to set not only a conventional uniform quality retention period but also a quality retention period only for oneself according to one's taste for each food and drink.

    <Configuration>

  FIG. 2 shows an example of functional blocks in the first database of this embodiment. As shown in this figure, the “first database” (0200) of this embodiment includes a “first storage unit” (0201), a “first search information input unit” (0202), and a “first search”. Part "(0203).

  Note that the functional blocks of the database described below can be realized as hardware, software, or both hardware and software. Specifically, if a computer is used, a CPU, a memory, a bus, a hard disk drive, a media reading drive such as a CD-ROM or DVD-ROM, a transmission / reception port for various communication or printing equipment, an interface or an input device And hardware configuration units such as other peripheral devices, driver programs for controlling the hardware, and other application programs.

  Specifically, the functions of the respective units are realized by sequentially executing the programs developed on the memory, by processing, storing, and outputting data on the memory and data input through the interface.

  Further, the present invention can be realized not only as an apparatus or a system but also as a method. In addition, a part of the invention can be configured as software. Furthermore, a software product used for causing a computer to execute such software and a recording medium in which the product is fixed to a recording medium are naturally included in the technical scope of the present invention (the same applies throughout the present specification). Is).

  In addition, the database of the present invention is incorporated in a server on the Internet, and first search information (to be described later) is input through the Internet, a search is performed, and the search result is returned to the client. Alternatively, it may be an embodiment that is incorporated in a client terminal as a stand-alone database and performs a search based on first search information input using an input device. Of course, even if it is a stand-alone database, the information stored in the first storage unit to be described later may be updated to the latest information through a network or the like.

  The “first storage unit” (0201) has a function of storing taste data of food and drink as a function of the food and drink identifier and the production history time of the food and drink. “Taste data” is information representing taste, for example, sweet taste, salty taste, umami taste, sour taste, bitter taste measured by a taste sensing device using a taste sensor of a lipid polymer film that imitates taste cells of the human tongue. (Food-based, drug-based, bittern-based) and the like are numerically represented. Or the measurement value corresponded to the aftertaste measured with the above-mentioned taste sensing device using the standard solution generated with potassium chloride, tartaric acid, etc. is also mentioned. Other examples of taste data include measured values such as sugar content, alcohol content, hydrogen ion index, or conductivity.

  The “food / drink identifier” includes a product name or product name of food / beverage, an identification number or a symbol assigned to each type. The food and drink identifier may be a hierarchical identifier. Hierarchical means, for example, that “tea” in the food and drink identifier has food and drink identifiers “Japanese tea”, “Chinese tea” and “foreign tea” below it, and further below “Shizuoka tea”. Or “jasmine tea”, “Assam tea”, and the like, there are food and drink identifiers indicating varieties.

  “Production history time” refers to information indicating the time relating to the production, manufacture, processing, distribution, etc. of food and drink. For example, in the case of a manufactured product such as wine, juice, bread, the date of manufacture and the time of manufacture are listed. In addition, the date of production, production, and distribution of food and drink, such as the date of production and collection for eggs and rice, the date of processing for meat and the like, and the date of shipment and delivery of such food and drink Is mentioned. Alternatively, other examples of production history time include elapsed time relating to food and drink, such as the time elapsed from the date of manufacture and date of production to the time of shipment and purchase, and the time taken for distribution including the date of shipment and delivery date.

  The “function related to production history time” is a function that represents taste data using the production history time as a variable. An example of this function is a function expressed by a predetermined mathematical expression f (x). For example, the taste of food and drink generally deteriorates over time. Or conversely, there are some foods and drinks that taste higher with time, such as higher alcohols such as wine and fermented products such as natto and koji. Naturally, such a change in taste can be measured numerically because it is a change in taste data. Therefore, it can be expressed as a function having production history time and taste data such as acidity and bitterness as variables.

  The function at that time may be expressed by, for example, a spline function, a Lagrangian function, or a B-spline function. The function may be a function represented by a table that holds the production history time and the taste data at that time in association with each other.

  FIG. 3 is a diagram for explaining an example of a function related to production history time. As shown in this figure, for example, the measured value of the taste and sourness of an egg brand A by a taste sensing device can be expressed as a function with the elapsed time from the time of collection as a variable. Of course, bitterness, salty taste, sweetness, and the like can be similarly expressed as changes in the measured value or sugar content value of the taste sensing device.

  FIG. 4 is a conceptual diagram illustrating an example of data stored in the first storage unit using the egg brand A as a food and drink identifier. As shown in this figure, for example, the function αA is associated with the umami of the egg A, and the function αB is associated with the sourness and stored. As described above, since the function representing the change of the taste data is stored in association with the first storage unit, it becomes possible to know the taste data corresponding to the passage of time such as the taste data at the current time.

  The function of the production history time is preferably stored in association with information related to storage of the food and drink. Examples of the information related to storage include information such as the temperature and humidity of the storage location and the amount of sunlight irradiated. This is because, for example, eggs stored at room temperature are more likely to rot than eggs stored in the refrigerator, that is, the rate of deterioration of taste is high, and the change in taste data over time generally changes depending on the storage conditions. That's why. As described above, information related to storage and the function of production history time are associated with each other, so that it is also possible to search for information on changes in taste data according to differences in storage status.

  Of course, for fresh foods, typical refrigerators and freezers for general households, for general kitchens for rice, and for general wine cellars for wine, assuming storage locations according to food and drink, By storing a function of the production history time according to a typical storage state of the assumed storage location, it is possible to omit the association of the function of the production history time with the information related to storage.

  The “first search information input unit” (0202) has a function of inputting the first search information. “First search information” refers to search information including a key that associates a food and drink identifier with a production history time. This first search information includes, for example, “food name to be searched (or a code attached to the food)” as a food identifier, and “history of production date and time” as a production history time, Elapsed time related to food and drink such as “time taken”. Alternatively, as the input production history time, for example, the future or past time may be input in order to know the time when eating food and drink.

  These pieces of information may be input by a person who wants to search using an input device such as a keyboard. Alternatively, for example, there is a method in which a two-dimensional barcode indicating the above information is attached to the corresponding food or drink and the package is input by reading the two-dimensional barcode with a reading device.

  The “first search unit” (0203) has a function of searching the first storage unit (0201) based on the first search information input to the first search information input unit (0202). The search in the first search unit includes not only searching for the same taste data in the taste data but also taking an approximate value in a predetermined range when the taste data is included in the first search information. It also includes a search for taste data. In addition, in the “first search information includes taste data”, only the food and beverage identifier is input as the first search information, but as the search in the first search unit, the food and beverage identifier is searched. It also includes the case where the taste data in the first storage unit is searched as a key, and a search for another food and drink identifier is performed using the taste data as a search key.

  Here, the search in the first search unit will be described below with a specific example. First, as described above, for example, a two-dimensional barcode attached to a package of food and drink A is read, and a food and drink identifier “egg A” as first search information and a production history time “collection date: November 10th” Is input to the first search information input unit. In addition, information “current date: November 17” is also acquired as the production history time from the internal clock of the two-dimensional barcode reading terminal. Then, in this first search unit, the first storage unit is searched, and a function αA and a function αB related to production history time such as umami and sourness of “egg A” identified by the corresponding food identifier are acquired. Since these functions αA and αB are functions of elapsed time, the collection date of this egg A derived from “collection date: November 10” and “current date: November 17” of the first search information. Taste data such as the current taste and sourness of the “egg A” is calculated from the information “elapsed time“ 7 (days) ”.

  FIG. 5 is a diagram illustrating an example of a display screen of the search result calculated based on the function as described above. As shown in this figure, the taste data of the egg A at the current time searched by the first search unit is output as a search result to the consumer's mobile terminal, for example, “acidity: 120, umami: 79”, indicate. Moreover, as shown in the figure, food and drink information indicating a value close to the numerical value of the taste data may be displayed from the accumulated data of past search results. This gives consumers a clearer sense of the current taste of the egg.

  In addition to the search of taste data at the present time as the search of the other first search unit, the first search information includes “egg A” and its collection date “November 10”, “before the current time, Or, “previous time” may be input. Then, the taste data of the egg A at the future or in the past may be calculated by the functions αA and αB and output as a search result.

  Moreover, each numerical value of the taste data that the consumer likes from the past experience may be inputted together with “egg A” and its collection date “November 10” as the first search information. Then, the date and time (elapsed date from the date of collection of the egg A) may be searched using the functions αA and αB in the first search unit. By performing such a search, the consumer can also know when it is time to eat food and drink.

  As described above, the first database according to the present embodiment enables the consumer to easily know the taste data of food and drink at the present time, the future, or the past time. In addition, by using it, for example, it is possible to know when to eat food and drink.

  In addition, since the numerical value of the taste data that changes with time can be searched in this way, it is possible to set a quality retention period of your own rather than the conventional standardized quality retention period. That is, for example, based on past experience, the user α considers “one week” as the quality retention period of the egg A for itself for the brand A egg, and registers information to that effect in the database. Then, by inputting the food and drink identifier of another brand of egg B as the first search information, the database compares the numerical data of the egg A and the egg B after aging, and the user α of the egg B A quality retention period is proposed, and the quality retention period can be automatically checked.

  Of the tastes, “acidity” often represents the degree of spoilage of food. Therefore, by registering the acidity value of the taste data at the time of corruption for each food and drink, and managing the time limit that is recognized as being free from the risk of sanitary harm, use the database of this embodiment. Also good.

  In the above embodiment, the use of food and drink by the final consumer has been described as an example. However, the database of this embodiment can be used as follows by a company or the like. That is, the taste data associated with the function relating to the production history time is centrally managed in the database of the present embodiment incorporated in the server on the Internet, and the quality retention period of the food and drink is individually managed in the retail store. Instead, it is possible to know the optimum quality retention period of food and drink as appropriate by making an inquiry to the database each time. Therefore, it is easy to plan an optimal replacement cycle for the product. It is also possible to propose a new form of commercial transaction that uses the database of this embodiment to set prices according to the changed taste, instead of discounting over time that was previously set by intuition and experience. Become.

  In addition, the taste data is measured by the taste sensing device at each base of manufacturing, logistics, retail, and final consumer, and the quality of the food and drink is controlled by comparing with the database search results of this embodiment. Will also be possible. Specifically, first, taste data of food and drink manufactured at a manufacturing factory is measured, and the information is written in an IC tag or the like. Under certain quality control, food and drink are transported over time from the manufacturing factory to the warehouse serving as the distribution base. When transported, the taste data is again measured by the taste sensing device. The taste data measured here is compared with the numerical value calculated by the function according to the passage of time with reference to this database based on the information of the IC tag. From the comparison, it can be estimated that there is a problem in quality control during transportation if the numerical value of the taste data shows a deterioration in taste more than expected. Similarly, when transporting final consumers from a distribution base to a retail store or from a retail store, the taste data is similarly measured and compared with the search results in the database, so that quality control in each transport scene can be performed. To do it. In this way, it is possible to determine whether the taste has deteriorated more than expected in the course of physical distribution, and to confirm the level of quality control for each food and beverage transportation route.

    <Process flow>

  FIG. 6 is a flowchart showing an example of the processing flow in the database of this embodiment. As shown in this figure, first, first search information including a key that associates a food and drink identifier with a production history time is input (step S0601). Next, based on the first search information input in step S0601, the food and beverage taste data stored in advance as a function of the food and drink identifier and the production history time of the food and drink are searched (step S0602). Finally, the search result in step S0602 is output and displayed on the display of the consumer terminal, for example.

    <Brief description of effect>

  As described above, the first database according to the present embodiment makes it possible for the consumer to easily know the taste data of food and drink at the present, future, and past. You can also know when to eat and drink. You can also set and manage your own quality retention period.

  In addition, for food and beverage manufacturing, production companies, retail stores, distributors, etc., by centrally managing taste data associated with functions related to production history time in the database of this embodiment incorporated in a server on the Internet. It becomes possible to know the optimal quality retention period of food and drink, and it becomes easy to plan an optimal replacement cycle for products. In addition, quality control during distribution is possible.

  << Example 2 >>

    <Overview>

  The present embodiment is based on the first database of the first embodiment, and is further associated with the food and drink identifier, and the food and drink impression information such as “delicious”, “bitter”, “like”, and “dislike” for the food and drink It has the 2nd storage part which stores. As described above, the food and drink impression information is stored in the first database at the same time, so that, for example, searching for the time when the egg is considered to be the most “delicious” due to changes over time, that is, the time when eating is performed, etc. Compared with 1, it becomes possible more easily.

    <Configuration>

  FIG. 7 shows an example of functional blocks in the first database of this embodiment. As shown in this figure, the “first database” (0700) of the present embodiment is based on the first embodiment, with “first storage section” (0701) and “first search information input section” (0702). ) And “first search unit” (0703). Since the “first storage unit”, “first search information input unit”, and “first search unit” have already been described in the first embodiment, the description thereof will be omitted.

  As feature points, a “second storage unit” (0704), a “second search information input unit” (0705), and a “second search unit” (0706) are included.

  The “second storage unit” (0704) has a function of storing food and drink impression information of the food and drink in association with the food and drink identifier. “Food and drink impression information” refers to impressions about the taste of food and drink identified by the food and drink identifier, such as “delicious”, “bad”, “bitter”, “too bitter”, and “sweet”. , “Like”, “dislike”, “just right spicy / very spicy”, “delicious / delicious”, “fits beef”, “taste from old school lunches”, “tongue tingling” Is mentioned. Alternatively, for example, an impression such as “taste like wind blowing in the grassland of New Year” used in wine or the like may be included.

  FIG. 8 is a conceptual diagram illustrating an example of how information is stored in the first storage unit and the second storage unit. As shown in this figure, the food and drink identifier and the function of production history time are stored in association with each other in the first storage unit, and the food and drink identifier and food and drink impression information are stored in association with each other in the second storage unit. And both storage parts comprise the relational database by using the food and drink identifier as a primary key. Of course, the first storage unit and the second storage unit may have such a relational database configuration, and the second storage unit may be included in the first storage unit.

  In addition, this food / beverage impression information may be stored in association with user identification information, for example. That is, it stores personalized food and beverage impression information. For example, for the coffee brand A, food impression information that the search user α is “delicious” is registered and stored together with the user identification information of the user. At the time of search, based on the taste data of the coffee brand A that the search user α feels delicious from the registered information, it is said that the coffee brand B approximates the taste data on the third day after shipment. It becomes possible to search for conditions.

  Or the eating and drinking impression information may be stored as a generalized opinion obtained by a questionnaire or the like. Accordingly, for example, it is possible to perform a search such as taste data after 3 days of a brand A of coffee, which is generally said to be “delicious”.

  In addition, if the collection method of this food / drink impression information is individual user's food / drink impression information, the method of collecting by including in user's registrant information beforehand by user registration etc. will be mentioned, for example. Or if general food-and-drink impression information is collected, the method of collecting using the questionnaire with respect to the tasting event and marketing of food / beverage before sale, the actual food / beverage purchaser, etc. will be mentioned, for example. Alternatively, there may be mentioned a method in which the user inputs and accumulates food and drink impression information each time a search is performed using the database of the present embodiment.

  By storing the food and beverage impression information in this way, it is possible to search by replacing the taste of food and beverage that is difficult to judge only by the numerical value of the taste data with food and beverage impression information that can be determined relatively easily.

  The “second search information input unit” (0705) has a function of inputting second search information including a food and drink identifier. Of course, the second search information may include food and drink impression information in addition to the food and drink identifier. Thereby, the search based on the impression of the search user with respect to food and drink or the generalized impression can also be performed.

  The “second search unit” (0706) has a function of searching the second storage unit (0704) based on the second search information input to the second search information input unit (0705).

  FIG. 9 is a diagram for explaining an example of a search result using the database of the present embodiment. As shown in (1) of this figure, for example, “coffee B” is input as the second search information, and “taste data of coffee B is approximated to the taste data of coffee A that the user thinks delicious as a search method. When “date search” is designated, a search result such as “after 3 days (in refrigerator storage)” is displayed.

  Alternatively, when “coffee B” is input and it is specified to search for taste data three days later, as shown in (2) of FIG. Along with the impression information “strong bitterness”, the change in the taste data is displayed. In this way, eating and drinking impression information is stored and used for retrieval, so it is not a factor that makes it difficult to store and judge elapsed time and numerical values of taste data, but is replaced with eating and drinking impression information that can be stored and judged relatively easily. It is also possible to do.

    <Process flow>

  FIG. 10 is a flowchart showing an example of the processing flow in the database of this embodiment. As shown in this figure, first, second search information including a food and drink identifier is input (step S1001). Next, based on the second search information input in step S1001, the function of the production history time, the food identifier, and the food impression information of the food and drink stored in association with each other are searched (step S1002). Finally, the search result in step S1002 is output and displayed on the display of the consumer terminal, for example.

    <Brief description of effect>

  With the database of this embodiment, it is possible to easily know when to eat other brands based on brands that the user feels delicious, rather than numerical data such as elapsed time that is difficult to memorize. Alternatively, for example, it is possible to perform a search such as taste data based on a function of production history time of a brand generally called “delicious”.

  Example 3

    <Overview>

  The database of the present embodiment is a database based on the database of the first embodiment, and stores food and drink impression information as in the second embodiment. Further, it is also characterized by storing attribute information such as the birthplace and age of the owner of the food and drink impression. Thereby, for example, it becomes possible to search for eating and drinking impression information of a person having the same attribute as that of the person who seems to have the same taste in the same eating experience using the user's own attribute information as a key.

    <Configuration>

  FIG. 11 shows an example of functional blocks in the first database of this embodiment. As shown in this figure, the “first database” (1100) of the present embodiment is based on the first embodiment, with “first storage unit” (1101) and “first search information input unit” (1102). ) And “first search unit” (1103). Since the “first storage unit”, “first search information input unit”, and “first search unit” have already been described in the first embodiment, the description thereof will be omitted.

  As feature points, a “third storage unit” (1104), a “third search information input unit” (1105), and a “third search unit” (1106) are included.

  The “third storage unit” (1104) has a function of storing food / drink impression information of the food / drink and the attribute information of the food / drink impression owner in association with the food / drink identifier. In addition, since the eating and drinking impression information is the same as what was described in Example 2, the description is abbreviate | omitted.

  “Eating and drinking attribute information” refers to attribute information of the owner of the impression of the food and drink indicated by the eating and drinking impression information. For example, the age, generation, gender, occupation, birthplace (region) and habitat (region) of the person ), Current residence (region), family structure, income and living level, medical history of past foods such as food poisoning, and information indicating trends related to taste such as sweet and spicy.

  The reason for associating the attribute information with the food and drink identifier in this way is as follows. In other words, the impression of taste depends on the memory of the taste and the familiarity with the taste due to the food culture peculiar to the person's living area and growing season. This is because the impression of taste is judged after collating the intensity information such as acidity and bitterness acquired by the tongue with the memory of own eating experience stored in the amygdala. For example, if there is a memory that you often eaten at school lunches, you may feel safe and delicious, or if you have a memory that you used to eat, you may feel that it is not delicious.

  As described above, the impression of the taste depends on the memory more than the numerical value shown as the taste data. And for example, it can be said that school lunches show the same tendency for each age, and that in Uki, there is a food culture according to the region such as udon is a regular meal. Therefore, it is considered that the taste impressions of those who are close to attribute information such as age and living area, and those who are close to taste information such as spicy foods, are similar.

  Therefore, by including attribute information in the search key, for example, even if it is an unexperienced brand, it is possible to perform a search based on the impression of a person who seems to be similar in taste to himself. become. Alternatively, it is possible to perform a search as to what impression a person who has the same attribute as himself has about the coffee A that has passed three days from the shipping date.

  The “third search information input unit” (1105) has a function of inputting third search information including a food and drink identifier. Of course, the third search information may include food and drink impression information and restaurant attribute information in addition to the food and drink identifier.

  The “third search unit” (1106) has a function of searching the third storage unit (1104) based on the third search information input to the third search information input unit (1105).

  FIG. 12 shows an example of a search result by the database of this embodiment. As shown in this figure, by using the database of the present embodiment, for example, the attribute information “Hokkaido native” and “20s” “male” is the coffee that has the food and drink impression information “delicious”. As a result, it becomes possible to search for the corresponding coffee brand, taste data of the brand at a predetermined time, and the like.

    <Process flow>

  FIG. 13 is a flowchart showing an example of the processing flow in the database of this embodiment. As shown in this figure, first, third search information including a food and drink identifier is input (step S1301). Next, based on the third search information input in step S1301, the function of the production history time, the food identifier, the food impression information of the food and drink, and the eater attribute information stored in advance are searched ( Step S1302). Finally, the search result in step S1302 is output and displayed on the display of the consumer terminal, for example.

    <Brief description of effect>

  In this way, with the database of this embodiment, for example, with the attribute information of one's own as a key, the eating and drinking impression information of the person who has the same taste and the same place of origin as the person who seems to have the same taste with the same eating experience You can search and so on. Therefore, even for foods that have not been experienced by the user, it is possible to know in advance the food impressions that the person feels and the taste data that has changed over time.

  Example 4

    <Overview>

  The database of the present embodiment is a database based on the database of the first embodiment, and stores food and drink impression information and attribute information of the food and drink impression owner as in the second and third embodiments. Further, when the food and drink impression owner eats or drinks the food and drink, it is stored as the food and drink timing information indicated by the production history time of the food and drink, for example, “3 days have passed since the date of manufacture”. That is, it is possible to perform a search that more clearly considers when the impression indicated by the eating and drinking impression information is based on the taste data at the timing.

  As a result, it is possible to perform a search including the eating and drinking timing information in the search key. For example, it is possible to search for food taste information “delicious” of coffee that has passed three days from the date of manufacture in association with the numerical value of the taste data derived from the function of the production history time. Therefore, even for the same coffee brand, it is possible to search for a new product, for example, using a numerical value closer to the taste data of the user's own taste. Alternatively, it is possible to perform a search for when the new product becomes the taste data desired by the user.

    <Configuration>

  FIG. 14 illustrates an example of functional blocks in the first database according to the present embodiment. As shown in this figure, the “first database” (1400) of the present embodiment is based on the first embodiment, with “first storage section” (1401) and “first search information input section” (1402). ) And “first search unit” (1403). Since the “first storage unit”, “first search information input unit”, and “first search unit” have already been described in the first embodiment, the description thereof will be omitted.

  The feature point includes a “fourth storage unit” (1404), a “fourth search information input unit” (1405), and a “fourth search unit” (1406).

  The “fourth storage unit” (1404) has a function of storing food and drink impression information, food and drink attribute information, and food and drink timing information of the food and drink in association with the food and drink identifier. In addition, since eating and drinking impression information and eating and drinking attribute information are the same as that of what was described in Example 2 and Example 3, the description is abbreviate | omitted.

  “Eating and drinking timing information” refers to information indicating when the food and drink impression owner eats and drinks the food and drink as the production history time of the food and drink. For example, it is “three days after the date of shipment of the tangerine” that the taste impression indicated as “sweetness has increased” in the eating and drinking impression information for a certain tangerine. In addition, it is “7 days after the shipment date” that the taste impression indicated as “too sweet” is shown in the food / drink impression information.

  As described above, since the eating and drinking impression information and the eating and drinking timing information are stored in association with each other, as described above, for example, even for the same tangerine brand, a numerical value closer to the user's own favorite taste data is used, for example, a new You can search for products. In addition, it is not easy to get a subjective sense of taste, but it ’s not easy to know the taste of mandarin when it ’s most delicious. It is also possible to search based on food and drink impression information such as “I hate”.

  In addition, since the eating and drinking impression information and the eating and drinking timing information are stored in association with the eating and drinking attribute information, it is also possible to search based on the eating and drinking impression information and eating and drinking timing information of a person having attribute information close to the user himself / herself. .

  The “fourth search information input unit” (1405) has a function of inputting fourth search information including a food and drink identifier. Of course, the fourth search information may include food / drink impression information, food / drinker attribute information, and food / beverage timing information in addition to the food / drink identifier.

  The “fourth search unit” (1406) has a function of searching the fourth storage unit (1404) based on the fourth search information input to the fourth search information input unit (1405).

  FIG. 15 is a diagram illustrating an example of a search result by the database according to the present embodiment. As shown in this figure, the database of the present embodiment, for example, the attribute information “Mr. Hokkaido” and “Men” in “20s” has the information that the mandarin orange A has the most delicious food and drink impression information. As a search key, it is possible to search for the elapsed time from the shipment date of the mandarin orange A that the person with attribute information corresponding to the mandarin orange A feels most delicious.

  Of course, in addition, the mandarin orange A that I feel most delicious is used as a search key as “seven days after the shipment date”, and the elapsed time from the shipment date B of another mandarin orange closest to the taste data is searched, An example of display is also given.

    <Process flow>

  FIG. 16 is a flowchart showing an example of the processing flow in the database of this embodiment. As shown in this figure, first, fourth search information including a food and drink identifier is input (step S1601). Next, based on the fourth search information input in step S1601, the function of the production history time, the food identifier, the food impression information, the food attribute information, and the food timing information stored in association with each other in advance are stored. Is searched (step S1602). Finally, the search result in step S1602 is output and displayed on the display of the consumer terminal, for example.

    <Brief description of effect>

  As described above, for example, even with the same coffee brand, it is possible to search for a new product, for example, using a numerical value closer to the user's own favorite taste data. In addition, it is not easy to get a subjective sense of taste, but it ’s not easy to know the taste of mandarin when it ’s most delicious. It is also possible to search based on food and drink impression information such as “I hate”.

  Example 5

    <Overview>

  The 2nd database of a present Example is characterized by the point which stores the food-drink impression information similarly to the database of Example 2. FIG. A difference from the database of the second embodiment is that a function of production history time is not stored at the same time. Therefore, for example, as in the second embodiment, the search result is not a search such as “(It is close to the taste of the brand A that is delicious for the user α) on the third day from the shipment of the brand B”. A product close to the taste of the brand A indicated by the “delicious” food / drink impression information can be searched for “brand B”. Or, search for taste data of coffee brand A, which is generally said to be “delicious” as food / drink impression information, or search for general food impression information about a brand and purchase It can also be used as a reference for judgment.

    <Configuration>

  FIG. 17 is a diagram illustrating an example of functional blocks in the second database according to this embodiment. As shown in this figure, the “second database” (1700) of this embodiment includes a “fifth storage unit” (1701), a “fifth search information input unit” (1702), and a “fifth search”. Part "(1703).

  The “fifth storage unit” (1701) has a function of storing taste data of food and drink as the food and drink identifier and food and drink impression information of the food and drink. Since “taste data”, “food identifier”, and “food impression information” of food and drink have already been described in the first and second embodiments, description thereof will be omitted.

  In this way, by storing taste data in the fifth storage unit as the food and drink identifier and the food and drink impression of the food and drink, for example, it is relatively easy to determine the taste of food and drink that is difficult to judge only by the numerical value of the taste data. It becomes possible to search by replacing with food and drink impression information that can be determined. For example, if the taste data of coffee brand A is associated with food / drink impression information “delicious”, the search user inputs the fifth search information “delicious” “coffee” in the fifth search information input section described later. Just by searching, another brand of coffee having taste data close to the numerical value of the taste data of coffee A is searched.

  The “fifth search information input unit” (1702) has a function of inputting fifth search information including a food and drink identifier. Of course, the fifth search information may include food and drink impression information in addition to the food and drink identifier.

  The “fifth search unit” (1703) has a function of searching the fifth storage unit (1701) based on the fifth search information input to the fifth search information input unit (1702). In the fifth search unit, as in the case of the first storage unit of the first embodiment, when the search is performed with the taste data included in the fifth search information, the taste data takes an approximate value within a predetermined range. It also includes a search for.

  FIG. 18 is a diagram for explaining an example of a search using the second database. As shown in this figure, for example, in the fifth storage part of this database, “clean” as the eating and drinking impression information of coffee A, “sour 75 and bitterness 68” as taste data, and “boiled as the eating and drinking impression information of coffee B” “Some”, “acidity 102, bitterness 75” as taste data, “aftertaste refreshing” as food and beverage impression information of coffee C, “acidity 67, bitterness 80” as taste data, and the like are stored.

  Here, the user inputs “fresh” taste coffee as the fifth search information. Then, a brand of coffee having taste data having a value approximate to the taste data of coffee A having the eating and drinking impression information “clean” is searched and displayed as a search result. Thus, the second database of the present embodiment can perform a search based on food and drink impression information that makes it easier to imagine the taste than the numerical value of the taste data.

  In addition, for example, as a search for impressions of a specific product, for example, the food and drink identifier “coffee A” is the fifth search information, and what is the average food and drink impression information about the coffee A? Information “clean” may be output as a search result.

  Of course, the stored food and drink impression information is not only information indicating general or average impressions of a large number of users as described above, but may be information indicating impressions for oneself. In that case, the food and beverage impression information is registered and stored in association with information for identifying the person who has the impression. Then, for example, it is preferable to search for another brand of coffee having taste data having a value similar to that of coffee A registered as “like” by the search user as food and beverage impression information, and to provide information to the user. In addition, by using such a search, it is also possible to search for food and drink impression information from taste data of a new product, and to promote a user who has registered the taste as “like”.

    <Process flow>

  FIG. 19 is a flowchart showing an example of the processing flow in the database of this embodiment. As shown in this figure, first, fifth search information including a food and drink identifier is input (step S1901). Next, based on the fifth search information input in step S1901, the food and drink identifier stored in association with the taste data and the food and drink impression information of the food and drink are searched (step S1902). Finally, the search result in step S1902 is output and displayed on the display of the consumer terminal, for example.

    <Brief description of effect>

  As described above, the second database according to the present embodiment can perform a search based on food and drink impression information that makes it easier to imagine the taste than the numerical value of the taste data. In addition, it is also possible to use an impression search for a specific product, a search based on personal food impression information, and a promotion for a user who likes the taste.

  Example 6

    <Overview>

  Similar to the database of the third embodiment, the third database of the present embodiment is characterized by storing food and drink impression information and restaurant attribute information. The difference from the database of the third embodiment is that the function of production history time is not stored at the same time. Therefore, for example, as in the third embodiment, the search result is not a search such as “impression about wine A that has passed 3 days from the shipping date (of a person who has the same attribute as itself)”, but “ It is possible to perform a search such as “the taste of the taste of wine A held by a local user”. As a result, it is possible to make a purchase decision with reference to food and drink impression information of a person having the same attribute even if the user has never experienced it.

  Alternatively, it is also possible to search for taste data of wine A, which is said to be “delicious” as food and beverage impression information of a specific attribute person.

    <Configuration>

  FIG. 20 shows an example of functional blocks in the third database of this embodiment. As shown in this figure, the “third database” (2000) of the present embodiment includes a “sixth storage unit” (2001), a “sixth search information input unit” (2002), and a “sixth search”. Part "(2003).

  The “sixth storage unit” (2001) stores the taste data of food and drink as the food and drink identifier, the food and drink impression information of the food and drink and the attribute information of the food and drink impression owner. Have. Since “taste data”, “food identifier”, “food impression information”, and “eating and drinking attribute information” of food and drink have already been described in Examples 1, 2, and 3, the description thereof is omitted. .

  FIG. 21 is a schematic diagram showing an example of storage of eating and drinking attribute information in the sixth storage unit. In addition, in this figure, although various food / drinker attribute information is linked | related using the food / beverage identifier as a primary key, of course, the form of this storage is not restricted to it.

  In this way, in the sixth storage unit, the food and drink identifier and the food and drink impression of the food and drink are stored in association with each other, so that the effect as described in Example 5 can be obtained, and at the same time, the eating and drinking attribute information is also obtained. Since it is stored, for example, the eating and drinking impression information on the wine A of the person with the attribute attribute of eating and drinking who is “a man who is in his twenties in Fukuoka” and the person who has the attribute “man who is a man in his twenties in Fukuoka” are “delicious” It is possible to search for brands of wine that have the food and drink impression information.

  The “sixth search information input unit” (2002) has a function of inputting sixth search information including a food and drink identifier. Of course, the sixth search information may include food and drink impression information and restaurant attribute information in addition to the food and drink identifier.

  The “sixth search unit” (2003) has a function of searching the sixth storage unit (2001) based on the sixth search information input to the sixth search information input unit (2002). In the search in the sixth search unit, as in the description in the first storage unit of the first embodiment, when the search is performed with the taste data included in the sixth search information, the taste data takes an approximate value within a predetermined range. It also includes a search for.

  FIG. 22 is a diagram for explaining an example of a search using the third database. As shown in this figure, a certain consumer is wondering whether to purchase wine A. Therefore, first, the consumer takes a picture of the two-dimensional barcode attached to the wine A with his / her mobile phone, and uses the mobile phone to provide information on the two-dimensional barcode including the food and drink identifier for identifying the wine A (1). Then, through the Internet, the read food and drink identifier is transmitted to the third database of the present embodiment to search for information on wine A (2). Then, as a search result, the numerical value of the taste data such as the sourness and bitterness of the wine A and the eating and drinking impression information for the wine A by generations in the 20s and 30s are output as the eating and drinking attribute information. It is displayed on the display screen (3). Consumers can look at this and, for example, make a decision to purchase if they match their preferences with reference to food and drink impression information of the same person in their 30s.

  FIG. 23 is a diagram for explaining another example of the search using the third database. As shown in this figure, the user who wants to know what brand of “wine” that “30s, male” thinks “delicious” is, as sixth search information, eating and drinking attribute information “30s, male” Enter the search key of impression information “delicious” and food identifier “wine”. Then, the third database of the present embodiment outputs the information “Wine Brand A” corresponding as a search result.

  FIG. 26 is a diagram illustrating an example of a search result display screen when the restaurant attribute information is the place of birth or residence of the restaurant. First, the food identifier “noodles” is input as the sixth search information, “Kanto region”, and the food impression information “like” are input as the restaurant attribute information. Then, as a result of searching the sixth storage unit using these as search keys, the taste data of udon A and the taste data of buckwheat B, which the person in the Kanto region likes, are displayed as shown in the figure.

  As described above, according to the third database of this embodiment, the consumer has a memory equivalent to the memory of his / her own food, and the taste impression and identification of the person who seems to have a similar taste impression. It is possible to know brands of food and drink that have a certain impression. Therefore, information about the taste of food and drink that is difficult to recall can be obtained from the digitized taste data, and can be used as a reference for product purchases.

  In addition, marketing data that enables deeper analysis than before can be collected by combining information such as the sales area and purchase level of food and drink acquired by information terminals such as POS deployed in retail stores. Is possible.

  In addition, in the case where a new product that approximates the numerical value of taste data preferred by an individual is released, in order to push-type advertisements to the customer who uses the Internet and data broadcasting and the same attribute information, You may utilize the database of this invention. Or, using the location information such as GPS (Global Positioning System), for customers who have the same attribute information as the customer or the customer, store of products that are close to the taste data preferred by the customer The database of the present invention may be used nearby to notify the sales information of the food and drink to a terminal or the like.

    <Process flow>

  FIG. 24 is a flowchart showing an example of the processing flow in the database of this embodiment. As shown in this figure, first, sixth search information including a food and drink identifier is input (step S2401). Next, based on the sixth search information input in step S2401, the food and drink identifier stored in advance in association with the taste data, the food and drink impression information and the food and drink attribute information of the food and drink are searched (step S2402). ). Finally, the search result in step S2402 is output and displayed on the display of the consumer terminal, for example.

    <Brief description of effect>

  As described above, according to the third database of the present embodiment, the eating and drinking impression information on the food of a certain type having the specific eating and drinking attribute information, and the eating and drinking impression information that the person of the certain eating and drinking attribute information is “delicious”. It is possible to search for brands of food and drinks to be held.

    <Other examples>

  The third database can also be used as follows. First, a favorite brand data of a person's beer is accumulated as taste data for each predetermined age category such as 20's, 30's and 40's. And, from the numerical value of the taste data of the brand accumulated for each age division in this way, a function indicating the change in taste preference of the person due to aging is calculated, and from the numerical value of the taste data derived by the function, For example, it is a usage example of searching for a favorite brand of the person in their 50s.

  Example 7

    <Overview>

  The fourth database of the present embodiment is a database that can be searched in relation to geographic information of food and drink. Searches using this database include, for example, searching for differences in taste data of cup noodles by region, displaying locations, and locations that provide udon noodles that are close to the taste of udon in your hometown. To do. Alternatively, by storing geographical information in association with the above-mentioned eating and drinking impression information, it is also possible to search and display “preferred” taste data of people in a predetermined area.

    <Configuration>

  FIG. 27 shows an example of functional blocks in the fourth database of this embodiment. As shown in this figure, the “fourth database” (2700) of this embodiment includes a “seventh storage unit” (2701), a “seventh search information input unit” (2702), and a “seventh search”. Part "(2703).

  The “seventh storage unit” (2701) has a function of storing the taste data of food and drink, the food and drink identifier, and the geographical information of the food and drink in association with each other. Since “taste data” and “food identifier” of food and drink have already been described in the first embodiment, description thereof will be omitted.

  “Geographic information” refers to information indicating the location where the food or drink identified by the food or drink identifier is manufactured, produced, collected or processed, such as Kyushu, Kanto, Hokkaido, Sendai, etc. And information indicating a specific production (manufacturing, processing, and sampling) place, such as XX farm, △ □ factory, and Mr. α's farm.

  In this way, taste data etc. are stored in association with geographic information in the seventh storage unit, so for example, search and display of differences in taste data of cup noodle soup by region, and udon in your hometown at the place you moved You can search for places that offer udon noodles that are close to the taste.

  The “seventh search information input unit” (2702) has a function of inputting seventh search information including a food and drink identifier. Of course, the seventh search information may include geographical information in addition to the food and drink identifier.

  The “seventh search unit” (2703) has a function of searching the seventh storage unit (2701) based on the seventh search information input to the seventh search information input unit (2702). In the search in the seventh search unit as well as the description in the first storage unit in the first embodiment, when the search is performed with the taste data included in the seventh search information, the taste data takes an approximate value within a predetermined range. It also includes a search for.

  FIG. 28 shows an example of a search result display screen by this database. As shown in this figure, for example, as the seventh search information, the food and drink identifier “Udon no Tsuyu” and information specifying that the output is by region are input. Then, the seventh search unit may calculate the udon noodle soup taste data (representative taste data or the average value for each place included in the region) accumulated in association with each other in the seventh storage unit. ) Is searched. As a result, as shown in the figure, the taste data of Hokkaido ’s noodle soup is “salt taste: 10, umami: 20”, and the taste data of Tohoku region noodle soup is “salt taste: 40, umami: 20”. In other words, the search results are displayed on the display so that the difference in the taste data of the noodle soup in each region can be seen at a glance.

  In this way, the user can quickly see that the udon in the Tohoku region is more salty than in Hokkaido.

  In addition, for example, a manufacturer or the like may search for taste data for each manufacturing factory as described above using the fourth database of the present embodiment and grasp the difference in the taste data. By doing so, it becomes possible to manage quality including the difference in taste at each manufacturing plant.

  FIG. 29 shows another example of a search result display screen based on this database. In this example, the database of the present embodiment is searched for other places that provide udon similar to the taste of udon in the Kyushu region.

  In this case, first, geographic information “Kyushu region” and food identifier “Udon” are input as the seventh search information. Then, as shown in FIG. 1 (a), the taste data of the Kyushu region udon stored in the seventh storage unit is searched, and the taste data is displayed. When the user clicks the taste data on the display screen, the database of the present embodiment stores the taste data of the “Kyushu region” and “Udon” from the taste data stored in the seventh storage unit. Search for noodles with taste data close to the numerical value. Then, the geographic information stored in the seventh storage unit in association with the udon that hit the search is displayed as a search result on the map as shown in FIG. In this way, it is possible to search for a place where food and drink having taste data close to desired taste data is provided.

    <Process flow>

  FIG. 30 is a flowchart showing an example of the processing flow in the database of this embodiment. As shown in this figure, first, seventh search information including a food and drink identifier is input (step S3001). Next, based on the seventh search information input in step S3001, the food and drink identifier stored in association with the taste data and the geographical information of the food and drink are searched (step S3002). Finally, the search result in step S3002 is output and displayed on the display of the consumer's terminal, for example.

  Of course, the above is an example, and the food and beverage identifier and the geographic information may be input as the seventh search information, and the taste data may be searched based thereon.

    <Brief description of effect>

  As described above, the fourth database of the present embodiment provides a search and display of differences in taste data of foods by region, and places that provide foods close to the desired taste at, for example, moving destinations and destinations. You can search. It is also possible to perform quality control for each manufacturing plant.

  << All other examples >>

  Further, the first to third inventions of the present invention can also be used in the following embodiments. For example, by cooperating with a medical database, it can be used as an information source for improving the taste of hospital foods and providing food and drink having a taste according to illness. Alternatively, taste data may be provided for a game executed on a terminal connected to the Internet.

  Also in childcare situations, for example, by preparing foods according to taste data for various regions with reference to this database, it is possible to raise children who can gain a rich dietary experience. Alternatively, taste data of a person having a taste disorder may be accumulated along with the attribute information of the person along a time series. Thereby, it is possible to make it possible to numerically confirm the change in taste feeling due to the treatment of the taste disorder of the person, and use it for judging improvement of the degree of taste disorder.

  ≪More examples≫

    <Overview>

  Further, for example, it is possible to search and display a food having a taste similar to a certain food using the database shown below.

    <Configuration>

  The configuration of the database in this case includes an “eighth storage unit”, an “eighth search information input unit”, and an “eighth search unit”.

  The “eighth storage unit” has a function of storing taste data of food and drink in association with the food and drink identifier. Since “taste data” and “food identifier” of food and drink have already been described in the first embodiment, description thereof will be omitted.

  The “eighth search information input unit” has a function of inputting eighth search information including a food and drink identifier.

  The “eighth search unit” has a function of searching the eighth storage unit based on the eighth search information input to the eighth search information input unit. And in this 8th search part, the food / beverage which has the taste data approximate to the numerical value of the taste data of the food / beverage input as 8th search information, for example is searched. As described above, in the search in the eighth search unit, when the search is performed with the taste data included in the first search information, the search for the taste data that takes an approximate value within a predetermined range is also included.

  FIG. 31 shows an example of a display screen when similar tastes are searched using this database. First, “Food A” is input as eighth search information in the eighth search information input unit. Then, the taste data of the food A is acquired from the eighth storage unit. Then, another food and drink identifier that takes an approximate value of the numerical value of the taste data is searched for by the eighth search unit. Then, as shown in this figure, the foods B and C hit as a result of the search are displayed on a display or the like according to the taste data, assuming that the foods are similar to the taste of the food A. .

  ≪Still another example≫

    <Overview>

  In addition, the food and beverage identifier in the database may be an identifier for identifying a food or beverage for which a manufacturing date, a manufacturing year (production date, collection date, processing date), a shipping date (delivery date), or the like is specified. By doing so, for example, it is possible to search for taste data of wine A of 2001 (such as taste data of a representative specific wine A or average taste data of wine A). It is also possible to search for the difference in taste data for each wine A production year and the transition of the taste data.

  FIG. 32 is a diagram showing an example when the transition of the taste data of wine A is displayed on the display screen. For example, the user inputs the eighth search information using the drink identifier “2001-2004 Wine A” as a search key to the eighth search information input unit. Then, in the eighth search section, the corresponding “2001 wine”, “2002 wine”, “2003 wine”, and “2004 wine” are stored in the eighth storage section. It is searched from the taste data. As shown in this figure, the taste data of the wine A from 2001 to 2004 is displayed as the transition of the taste.

  By performing such a search and display, the user can easily know the difference in taste data for each product manufacturing year and the transition of the taste data by using the other first database of this embodiment. become able to.

  In addition, it searches the taste data of 2000 wine A and 2004 wine B, displays the difference, and searches the latest wine brands that are close to the taste data of 2000 wine A. It is also possible to use such as displaying and displaying.

The figure for demonstrating an example of the concept of the information provision using the 1st database of Example 1. FIG. The figure showing an example of the functional block in the 1st database of Example 1. The figure for demonstrating an example of the function regarding the production history time stored in the 1st storage part of the 1st database of Example 1. FIG. In the 1st database of Example 1, the conceptual diagram showing an example of the data stored in the 1st storage part by using egg A as food-and-drink identifier The figure showing an example of the display screen of the search result computed based on the function in the 1st search part of the 1st database of Example 1. The flowchart showing an example of the flow of a process in the 1st database of Example 1. The figure showing an example of the functional block in the 1st database of Example 2. The conceptual diagram showing an example of the mode of the information storage in the 1st storage part in the 1st database of Example 2, and a 2nd storage part The figure for demonstrating an example of the search result using the 1st database of Example 2. FIG. The flowchart showing an example of the flow of a process in the 1st database of Example 2. The figure showing an example of the functional block in the 1st database of Example 3. The figure for demonstrating an example of the search result using the 1st database of Example 3. FIG. The flowchart showing an example of the flow of a process in the 1st database of Example 3. The figure showing an example of the functional block in the 1st database of Example 4. The figure for demonstrating an example of the search result using the 1st database of Example 4. FIG. The flowchart showing an example of the flow of the process in the 1st database of Example 4. The figure showing an example of the functional block in the 2nd database of Example 5. The figure for demonstrating an example of the search using the 2nd database of Example 5. FIG. The flowchart showing an example of the flow of the process in the 2nd database of Example 5. The figure showing an example of the functional block in the 3rd database of Example 6. The schematic diagram showing the mode of an example of the storage of the eating and drinking attribute information in the 6th storage part in the 3rd database of Example 6. The figure for demonstrating an example of the search using the 3rd database of Example 6. FIG. The figure for demonstrating another example of the search using the 3rd database of Example 6. FIG. The flowchart showing an example of the flow of a process in the 3rd database of Example 6. The figure for demonstrating briefly an example of the characteristic of each database of Example 1-6, showing the difference of the stored information The figure showing an example of the display screen of a search result when the restaurant attribute information by the third database of Example 6 is the place of birth or residence of the restaurant The figure showing an example of the functional block in the 4th database of Example 7. The figure showing an example of the display screen of the search result by the 4th database of Example 7. The figure showing another example of the display screen of the search result by the 4th database of Example 7. The flowchart showing an example of the flow of a process in the 4th database of Example 7. The figure showing an example of the display screen at the time of searching similar taste in another database of the present invention The figure showing an example at the time of displaying the transition of the taste data searched by another database of this invention on a display screen

Explanation of symbols

0200 Database 0201 First storage unit 0202 First search information input unit 0203 First search unit

Claims (7)

A first storage unit that stores the taste data of the food and drink as a function of the food and drink identifier and the production history time of the food and drink;
A first search information input unit for inputting first search information including a key that associates a food and drink identifier with a production history time;
A first search unit for searching the first storage unit based on the first search information input to the first search information input unit;
A first database having A second storage unit for storing food and drink impression information of the food and drink in association with the food and drink identifier;
A second search information input unit for inputting second search information including a food and drink identifier;
A second search unit for searching the second storage unit based on the second search information input to the second search information input unit;
The first database according to claim 1, comprising: In association with the food and beverage identifier, a third storage unit that stores the food and beverage impression information of the food and drink and the attribute information of the food and beverage impression owner,
A third search information input unit for inputting third search information including a food and drink identifier;
A third search unit for searching the third storage unit based on the third search information input to the third search information input unit;
The first database according to claim 1, comprising: In association with the food and drink identifier, the food and drink impression information of the food and drink, the attribute information of the food and drink impression owner, and the time when the food and drink impression owner drank the food and drink production history of the food and drink A fourth storage unit for storing food and drink timing information indicated by time;
A fourth search information input unit for inputting fourth search information including a food and drink identifier;
A fourth search unit for searching the fourth storage unit based on the fourth search information input to the fourth search information input unit;
The first database according to claim 1, comprising: A fifth storage for storing the taste data of the food and drink as the food and drink identifier and the food and drink impression information of the food and drink;
A fifth search information input unit for inputting fifth search information including a food and drink identifier;
A fifth search unit for searching the fifth storage unit based on the fifth search information input to the fifth search information input unit;
A second database. A sixth storage unit for storing the taste data of the food and drink as the food and drink identifier, the food and drink impression information of the food and drink and the attribute information of the food and drink impression owner; and
A sixth search information input unit for inputting sixth search information including a food and drink identifier;
A sixth search unit for searching the sixth storage unit based on the sixth search information input to the sixth search information input unit;
A third database. A seventh storage unit that stores the taste data of the food and drink, the food and drink identifier, and the geographical information of the food and drink;
A seventh search information input unit for inputting seventh search information including a food and drink identifier;
A seventh search unit for searching the seventh storage unit based on the seventh search information input to the seventh search information input unit;
A fourth database having

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