JP7351782B2 - Information processing system, information processing device, information processing method and program - Google Patents

Description

The present disclosure relates to an information processing system, an information processing device, an information processing method, and a program.

In recent years, there has been an increase in the number of services that provide cooking recipe information to users via networks such as the Internet.

For example, Patent Document 1 describes an electronic menu creation device that, when a search condition is specified, extracts a dish name that matches the search condition as a candidate dish. When material cost is specified as an arrangement condition, this electronic menu creation device displays dish candidates in an array based on the rank of material cost, and when difficulty is specified as an arrangement condition, dish candidates are displayed in the order of difficulty ranks. If the cooking time is specified as the arrangement condition, the arrangement is displayed based on the cooking time, and if the amount of the ingredients used is specified as the arrangement condition, the arrangement is displayed based on the amount of the ingredients used.

Japanese Patent Application Publication No. 9-034871

However, the technique disclosed in Patent Document 1 has a problem in that the difficulty level of the cooking task (hereinafter also referred to as "cooking difficulty level") must be stored in advance for each cooking name. Further, even if the recipe creator sets and registers the difficulty level of the cooking task, it is based on the subjectivity of the recipe creator, and it is unclear whether appropriate setting accuracy can be ensured.

On the other hand, from the perspective of the user of such a recipe, there are cases in which there is a considerable discrepancy between the level of difficulty considered by the recipe creator and the level of difficulty for the user. In other words, even if a recipe creator with extensive cooking experience considers a certain dish to be very easy and low in difficulty, there is a high possibility that the dish will appear to be highly difficult to a novice cook.

Moreover, the level of difficulty for each recipe user may vary not only due to his or her cooking experience, but also due to various other attributes. That is, unless the cooking difficulty level of each recipe is estimated for each user based on the standpoint of each recipe user, a situation will arise in which it is difficult to avoid the above-mentioned difference in difficulty level.

Therefore, the present disclosure has been made in view of the above-mentioned circumstances, and an object of the present disclosure is to provide an information processing system, an information processing device, an information processing method, and a program that can accurately estimate the cooking difficulty level of a recipe for each user. With the goal.

In order to solve the above problems, the information processing system of the present disclosure includes an information holding unit that holds correspondence information that defines the relationship between a person's attributes and the difficulty level of each dish, and recipe information for each dish; an estimation unit that estimates the difficulty level of the recipe information for the user by applying the attribute of the user of the recipe information and the information of the dish to be cooked in the recipe information to the corresponding information; Be prepared.

The information processing device of the present disclosure also includes an information holding unit that holds correspondence information that defines a relationship between a person's attributes and a difficulty level of each dish, and recipe information of each dish, and a user attribute of the recipe information. and an estimating unit that estimates the difficulty level of the recipe information for the user by applying information on the dish to be cooked in the recipe information to the correspondence information.

Further, in the information processing method of the present disclosure, the information processing device holds correspondence information that defines a relationship between a person's attributes and the difficulty level of each dish, and recipe information for each dish, and The degree of difficulty of the recipe information for the user is estimated by applying the attributes and information about the dish to be cooked in the recipe information to the corresponding information.

Further, the program of the present disclosure maintains, in the information processing device, correspondence information that defines a relationship between a person's attributes and the difficulty level of each dish, and recipe information of each dish, and stores the user's attributes of the recipe information and the recipe information of each dish. , information on the dish to be cooked in the recipe information is applied to the correspondence information to execute a process of estimating the difficulty level of the recipe information for the user.

According to the information processing system, information processing device, information processing method, and program of the present disclosure, it is possible to accurately estimate the cooking difficulty level of a recipe for each user.

1 is a configuration diagram showing an overview of an information processing system according to an embodiment of the present invention. FIG. 1 is a block diagram showing the configuration of an information processing device according to an embodiment of the present invention. It is a diagram showing an example of the configuration of user information according to an embodiment of the present invention. It is a figure showing an example of composition of recipe information concerning an embodiment of the present invention. It is a figure showing an example of composition of comment information concerning an embodiment of the present invention. FIG. 3 is a diagram showing an example of a configuration of correspondence information according to an embodiment of the present invention. FIG. 3 is a diagram showing an example of a configuration of correspondence information according to an embodiment of the present invention. FIG. 3 is a diagram illustrating a configuration example of affinity information according to an embodiment of the present invention. 3 is a flowchart for explaining the operation of the information processing system according to the embodiment of the present invention. It is a figure showing an example of output concerning an embodiment of the present invention. It is a figure showing an example of output concerning an embodiment of the present invention. It is a figure showing an example of output concerning an embodiment of the present invention. 3 is a flowchart for explaining the operation of the information processing system according to the embodiment of the present invention. It is a figure showing an example of output concerning an embodiment of the present invention. 3 is a flowchart for explaining the operation of the information processing system according to the embodiment of the present invention. 1 is a schematic block diagram showing the configuration of a computer according to an embodiment of the present invention.

This embodiment will be described below. Note that the present embodiment described below does not unduly limit the content of the present disclosure described in the claims. Furthermore, not all of the configurations described in this embodiment are essential configuration requirements of the present disclosure.

<Configuration>
FIG. 1 is a configuration diagram showing an overview of an information processing system 10 according to an embodiment of the present invention. The information processing system 10 includes one or more information processing devices 100 and one or more terminal devices 200. In the example shown in FIG. 1, the number of information processing devices 100 and terminal devices 200 is N (N is an integer of 1 or more). The N information processing devices 100 have a common configuration and are individually distinguished as information processing devices 100-1 to 100-N. The N terminal devices 200 have a common configuration and are individually distinguished as terminal devices 200-1 to 200-N.

The information processing devices 100-1 to 100-N and the terminal devices 200-1 to 200-N are communicably connected via a wired or wireless network NW, respectively. The network NW may include a wide area network such as the Internet or a public wireless network, or may include a local area network (LAN).

Note that in this specification, when explaining common matters between the information processing apparatuses 100-1 to 100-N and the terminal devices 200-1 to 200-N, individual information processing apparatuses 100-1 to 100-N will be described. 100-N, and the individual terminal devices 200-1 to 200-N are simply referred to as the information processing device 100 and the terminal device 200 when not distinguished.

The information processing device 100 is, for example, a server of a recipe site. On the other hand, the terminal device 200 is a mobile device, a PC (personal computer), or the like, and displays and browses a recipe site, for example.

The information processing device 100 stores recipe information posted from each terminal device 200. Here, the recipe information represents a cooking method, and includes, for example, a user ID (representing the person who created (posted) the recipe or the person who cooked the dish using the recipe), recipe name (cooking name), cooking process, ingredients, and cooking method. Contains various information such as equipment.

Based on a request from each terminal device 200, the information processing device 100 distributes some or all of the recipe information (including a list of recipe information; the same applies hereinafter) to each terminal device 200 and displays the recipe information. Each terminal device 200 displays the recipe information distributed from the information processing device 100 on a display or the like.

The above-described information processing device 100 can estimate the cooking difficulty level for each user for each recipe information or a dish (or genre) indicated by the recipe information, and can use the cooking difficulty level as appropriate. The information processing device 100 acquires the user's attributes, cooking history, comments on the recipe used, etc. input from each terminal device 200, etc., and determines the cooking difficulty level based on these, recipe information, and corresponding information described later. is estimated, and recipe information corresponding to this is output to the user's terminal device 200.

The information processing device 100 is configured by, for example, an information processing device such as a computer or a mainframe. Further, the information processing device 100 includes an information holding section 110, an estimation section 120, and a communication section 130, as illustrated in FIG.

Among these, the information holding unit 110 stores user information 111, recipe information 112, comment information 113, correspondence information 114, and affinity information 115.

As illustrated in FIG. 3, the user information 111 is a table that stores attribute information using the ID of the person who posts or uses the recipe information, that is, the user ID, as a key. The attribute information held here may include, for example, nationality or place of birth, years of cooking experience, used recipe history, and owned equipment.

The above-mentioned information on owned equipment may include cooking utensils and cooking utensils owned by the user and their specification information. This specification information includes, for example, the heat value of a gas stove, the wattage of a microwave oven, the volume of a pot, and the heat capacity. Note that such specification information may be obtained by receiving input from the user via the terminal device 200, or may be obtained from product catalog information published on the website of the manufacturer of the cooking equipment. Alternatively, the relevant information may be extracted and acquired from the keywords of cooking utensils and cooking utensils described in the recipe information used by the user.

In addition, as illustrated in FIG. 4, recipe information is information for making a dish, and information such as genre, title, and cooking content is linked using a recipe ID that uniquely identifies a recipe as a key. This is a table stored as follows. Among these, the cooking content is information that describes various information such as ingredients, equipment used, and cooking operations for each cooking process. Note that this recipe information may be content made up of images and text, or may be a video. The recipe information distributed by the information processing apparatus 100 may be posted by a user (poster or viewer) or may be posted by a service provider.

The comment information 113 is a table that stores comments posted (posted) by users who actually refer to the recipe information and cook using the recipe information published on the recipe site. As a specific example, as shown in Figure 5, a record is created in which information such as comments and usage reports are associated with the user ID that uniquely identifies the user who posted and the recipe ID of the recipe information to be posted. There is.

Furthermore, the correspondence information 114 is information that defines the relationship between a person's attributes and the difficulty level of each dish. As shown in a specific example in FIG. 6, it is a collection of records that define the difficulty level of each cooking genre for each pattern of a person's attributes, such as nationality or place of birth and years of cooking experience. In the example shown in FIG. 6, the difficulty level of each cooking genre, such as Japanese food or Chinese food, is defined by nationality or place of birth, and by the number of years of cooking experience.

Further, the information holding unit 110 further holds, as further correspondence information 114, information defining the relationship between the character string and the difficulty level of each cooking genre, as illustrated in FIG. In this case, the correspondence information 114 defines character strings and their respective difficulty levels in association with each other for each cooking genre, such as techniques, ingredients, owned equipment, and comments. These character strings can be included in the recipe information description or in comments posted by the user on the recipe site.

Further, the affinity information 115 is a table that defines, for each cooking genre, each cooking procedure that is estimated to have a high affinity with the cooking genre. This affinity information 115 is obtained by the estimation unit 120 of the information processing device 100 analyzing the appearance frequency of each cooking procedure (keywords and clauses) included in the recipe information of each dish for each cooking genre, and It is generated by extracting cooking procedures that meet or exceed the standard, and defining the compatibility between each genre and the cooking procedure.

The estimating unit 120 in the information processing device 100 also determines the nationality or place of birth of the user who uses (any one of) the recipe information 112 held in the information holding unit 110, and information on the dish to be cooked in the recipe information. That is, by applying the genre to the correspondence information 114, the difficulty level of the recipe information for the user is estimated.

Note that the estimating unit 120 extracts the cooking time, cooking technique, cooking process, number of cooking steps, cooking utensils, or number of cooking utensils from the recipe information 112 as the above-mentioned cooking information, and extracts the information. By applying this and the user's attributes to the correspondence information 114, the difficulty level of the recipe information for the user may be estimated.

Furthermore, the estimating unit 120 extracts the ingredients, the cost of the ingredients, the season of the ingredients, or the amount of distribution in the recipe information 112 as the above-mentioned dish information, and combines the information and the attributes of the user in the correspondence information 114. The difficulty level of the recipe information for the user may be estimated by applying the recipe information to the user.

Furthermore, as described above, the estimation unit 120 analyzes the appearance frequency of each cooking procedure included in the recipe information 112 of each dish for each cooking genre, and estimates the affinity between each genre and the cooking procedure. , the estimation result is stored in the information holding unit 110 as affinity information 115.

In this case, the estimation unit 120 extracts cooking procedure information from recipe information used by a certain user, and selects a genre that has a predetermined affinity with the cooking procedure as a result of the above estimation, that is, the affinity information 115. By applying the genre and the user's nationality or place of birth to the correspondence information 114, it is possible to estimate the difficulty level of the recipe information for the user.

Furthermore, the estimation unit 120 extracts from the comment information 113 comments by other users whose attributes (e.g. nationality or place of birth, years of cooking experience, etc.) match or are similar to the user to be processed, and extracts a character string included in the comment. and the correspondence information 114 (exemplified in FIG. 7), the difficulty level regarding the recipe information to be commented on is estimated as the common difficulty level for the user group having the attribute. In this case, the estimating unit 120 estimates the difficulty of the recipe information to be used this time for the user to be processed as described above with respect to the group of users to which the user belongs (a group of users with matching or similar attributes). Apply information difficulty.

Note that the estimating unit 120 estimates the technical ability of the user based on the user information 111 representing at least one of the user's attributes and behavior history, and based on this technical ability and each piece of information on the already estimated difficulty level, the estimation unit 120 estimates the technical ability of the user. Recipe information may be distributed to the terminal device 200 of.

Furthermore, the communication unit 130 in the information processing device 100 is a communication interface that communicates with the terminal device 200 via the network NW. The communication unit 130 receives information such as the user's attributes, cooking history, comments, and recipe selection information transmitted from the terminal device 200. The communication unit 130 also transmits recipe information and cooking difficulty level information to the terminal device 200.

On the other hand, the terminal device 200 displays information transmitted from the information processing device 100. Further, the terminal device 200 can transmit information to the information processing device 100.

The terminal device 200 is an information processing device such as a smartphone, a mobile phone, a PHS, a computer, a PDA, a wristwatch, a smart watch, a head-mounted display, an image generation device, etc., and processes information via a network NW such as the Internet (WAN) or LAN. This is a device that can be connected to the processing device 100. Note that the connection between the terminal device 200 and the information processing device 100 may be wired or wireless.

Further, the terminal device 200 may access the information processing device 100 using installed dedicated application software. Further, the information processing apparatus 100 may be accessed using an operating environment (API (application programming interface), platform, etc.) provided by the information processing apparatus 100 or a separate server (not shown).

<Processing flow>
Next, the operation of the information processing system 10 according to the embodiment of the present disclosure will be described with reference to the flowchart shown in FIG. 9. The flowchart in FIG. 9 mainly shows operations in the information processing apparatus 100.

In step S<b>101 , the information processing device 100 receives a condition input regarding a desired recipe from the terminal device 200 operated by the user, and identifies recipe information matching the condition from the recipe information 112 . In this case, the above-mentioned conditions specified by the user are assumed to be the cooking genre and the name of the dish.

Further, in step S102, the information processing device 100 extracts the above-described user attribute information from the user information 111. In this case, if the user is a registered user of the recipe site, using the user ID of the logged-in user as a key, the user information 111 can be used to provide various information such as nationality or birthplace, years of cooking experience, used recipe history, owned equipment, etc. All you have to do is extract the attribute information.

On the other hand, if this user is not a registered user, the information processing device 100, for example, distributes an attribute request screen G10 as shown in FIG. 10 to the terminal device 200, and acquires similar attribute information via this screen. You can also use it as

Further, in step S103, the information processing device 100 applies the above-mentioned user attributes (e.g. nationality or place of birth) and the information of the dish to be cooked in the recipe information, that is, the genre, to the correspondence information 114. Then, the difficulty level of the recipe information for the user is estimated.

For example, assume that the nationality or place of birth of the above-mentioned user is "United States" (US) and the number of years of cooking experience is "less than two years". Further, assume that the cooking genre of the recipe information desired by this user is "Chinese". In this case, in the correspondence information 114 illustrated in FIG. 6, the user with the corresponding attribute belongs to the category of years of cooking experience "less than 5 years" and is estimated to have a difficulty level of "high".

In addition to the genre, the information processing device 100 also includes information on cooking time, cooking technique, cooking process, number of cooking processes, cooking utensils, or number of cooking utensils in the recipe information 112 as the above-mentioned cooking information. The difficulty level of the recipe information for the user may be estimated by extracting the information and applying the attribute of the user to the correspondence information 114.

In this case, of course, the corresponding information 114 includes the difficulty level of each combination of the above-mentioned cooking time, cooking technique, cooking process, number of cooking processes, cooking utensils, or number of cooking utensils for each cooking genre. shall be specified.

Further, the information processing device 100 extracts the ingredients, ingredient costs, seasonal ingredients, or distribution amount from the recipe information 112 as information on the above-mentioned dish, and uses the information and the attributes of the user as corresponding information. 114, the difficulty level of the recipe information for the user may be estimated.

In this case as well, it is assumed that the correspondence information 114 defines the difficulty level for each combination of the above-mentioned ingredients, ingredient costs, seasonal ingredients, or distribution amounts for each cooking genre.

Further, in step S104, the information processing device 100 distributes the information on the difficulty level estimated in S103 described above to the user's terminal device 200 of the recipe information, as shown in screen G20 illustrated in FIG. 11.

Further, in step S105, the information processing device 100 estimates the technical ability of the user based on the user information 111 representing at least one of the user's attribute information and action history (recipe usage history) as described above. Recipe information may be distributed to the user's terminal device 200 (see screen G30 in FIG. 12) based on the technical ability and the previously estimated difficulty level information.

For example, if a user has attributes such as nationality or place of birth being "United States" (US), years of cooking experience being "less than 2 years", and a behavior history of "10 or more" recipes in the "Chinese" genre. If only the attributes were used, the difficulty level of the desired recipe would be "high," but based on the user's considerable familiarity with Chinese recipe information, the difficulty level of the recipe would be determined to be "medium," and this user (or Other recipes (different recipes that do not hit under the initially desired conditions) that are of medium difficulty for other users with matching or similar attributes are distributed to the terminal device 200 of the user.

Furthermore, it is assumed that the information processing apparatus 100 generates the affinity information 115, as illustrated in the flowchart of FIG. 13, separately from the flowchart of FIG. 9 described above. In this case, in step S201, the information processing device 100 refers to the recipe information 112 in the information holding unit 110 and analyzes the appearance frequency of each cooking procedure included in the recipe information of each dish for each cooking genre.

In this analysis, first, morphological analysis is performed on the text data of the recipe information to extract phrases. Further, among these phrases, phrases that hit the cooking procedure dictionary (a dictionary of sentences expressing cooking procedures prepared and maintained in advance) are identified as descriptions of cooking procedures. Then, the frequency probability is calculated to determine how often descriptions of each specified cooking procedure appear in recipe information for each cooking category.

In step S202, the information processing device 100 identifies, for example, a description of a cooking procedure that has a higher appearance frequency than the average appearance frequency among cooking procedures in each cooking genre, and determines whether this cooking procedure has an affinity with the cooking genre. is estimated to be high.

In step S203, the information processing device 100 stores the description of the cooking procedure estimated to have high affinity with the corresponding cooking genre as affinity information 115. In this way, affinity information 115 is generated.

In this case, in step S204, the information processing device 100 extracts cooking procedure information from recipe information used by a certain user in the same manner as described above, and identifies cooking genres that have a predetermined affinity with the cooking procedure as affinity information. Specify based on 115.

Subsequently, in step S205, the information processing device 100 applies attribute information such as the identified cooking genre and the user's nationality or place of birth to the correspondence information 114 to determine the difficulty level of the recipe information for the user. is estimated and distributed to the terminal device 200 (screen G40 in FIG. 14).

Note that, as shown in the flowchart of FIG. 15, the information processing device 100 is configured to set a difficulty level that is common to a group of other users whose attributes (e.g., nationality or place of birth, years of cooking experience, etc.) match or are similar to the user to be processed. may be applied as the difficulty level for the user.

In this case, in step S301, the information processing apparatus 100 uses the user information 111 to identify other users whose attributes (eg, nationality or place of birth, years of cooking experience, etc.) match or are similar to the user to be processed.

Subsequently, in step S302, the information processing apparatus 100 searches the comment information 113 for comments on the recipe information of each cooking genre by the other users identified in S301.

Further, in step S303, the information processing device 100 extracts character strings from comments by other users searched for recipe information of each cooking genre, and collates this with the correspondence information 114 (exemplified in FIG. 7). By doing so, a common level of difficulty is estimated for the group of users having the attribute with respect to the cooking genre or the recipe information.

For example, regarding predetermined recipe information for the cooking genre "Japanese food," character strings obtained from comments by other users (e.g., "Katsura peeled," "An liver," "Pressure cooker," "Slightly laborious") can be checked against the corresponding information 114 in FIG. Get the difficulty value for each string. Among the difficulty level values obtained in this way, the one with the largest number is set as the difficulty level for the above-mentioned user group in the corresponding recipe information of the cooking genre.

In addition, in step S304, the information processing apparatus 100 sets the difficulty level of the recipe information (recipe information to be used this time) desired by the user to be processed as described above to the group of users to which the user belongs (users with matching or similar attributes). The difficulty level of the recipe information estimated in S303 is applied to the group of Of course, the information processing device 100 may search the recipe information 112 of the information holding unit 110 for recipe information that matches the difficulty level obtained in this way, and distribute the information to the terminal device 200 of the user.

As described above, the information processing device 100 according to the embodiment of the present disclosure stores the correspondence information 114 that defines the relationship between a person's attributes and the difficulty level of each dish, and the recipe information 112 of each dish in the information storage unit 110. The difficulty level of the recipe information 112 for the user is estimated by applying the attributes of the user in the recipe information 112 and the information on the dish to be cooked in the recipe information 112 to the correspondence information 114. can do. From the user's perspective, this means that the user can know the difficulty level that matches their individual circumstances, without worrying that there is a discrepancy between the recipe creator's idea of difficulty and the user's difficulty level. It leads to urinating. Therefore, it is possible to accurately estimate the cooking difficulty level of a recipe for each user.

(program)
FIG. 16 is a schematic block diagram showing the configuration of computer 801. The computer 801 includes a CPU 802, a main storage device 803, an auxiliary storage device 804, and an interface 805.

Here, details of a program for realizing each function configuring the information processing apparatus 100 according to the embodiment will be described.

The information processing device 100 is implemented in a computer 801. The operations of each component of the information processing apparatus 100 are stored in the auxiliary storage device 804 in the form of a program. The CPU 802 reads the program from the auxiliary storage device 804, expands it to the main storage device 803, and executes the above processing according to the program. Further, the CPU 802 secures a storage area corresponding to the above-mentioned storage section in the main storage device 803 according to the program.

Specifically, the program stores, in the computer 801, correspondence information that defines the relationship between a person's attributes and the difficulty level of each dish, and recipe information for each dish, and combines the user's attributes and the recipe information with the recipe information. , is a program that executes a process of estimating the difficulty level of the recipe information for the user by applying information on the dish to be cooked in the recipe information to the correspondence information.

Note that the auxiliary storage device 804 is an example of a non-temporary tangible medium. Other examples of non-transitory tangible media include magnetic disks, magneto-optical disks, CD-ROMs, DVD-ROMs, semiconductor memories, etc. connected via the interface 805. Moreover, when this program is distributed to the computer 801 via the network NW, the computer 801 that received the distribution may develop the program in the main storage device 803 and execute the above processing.

Further, the program may be for realizing part of the functions described above. Furthermore, the program is a so-called difference file (difference program) that realizes the above-mentioned functions in combination with other programs already stored in the auxiliary storage device 804.
It may be.

Although several embodiments of the present disclosure have been described above, these embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. It can be performed. These embodiments and their modifications are included within the scope and gist of the invention as well as within the scope of the invention described in the claims and its equivalents.

10 Information processing system 100 Information processing device 110 Information holding unit 111 User information 112 Recipe information 113 Comment information 114 Correspondence information 115 Affinity information 120 Estimation unit 130 Communication unit 200 Terminal device 801 Computer 802 CPU
803 Main storage device 804 Auxiliary storage device 805 Interface

Claims (12)

It holds correspondence information that defines the relationship between a person's attributes and the difficulty level of each dish, recipe information for each dish, and affinity information that defines cooking procedures that are compatible with the cooking genre for each cooking genre. Information holding department,
A genre that has a predetermined affinity with the cooking procedure extracted from the first recipe information, which is one of the recipe information, is identified based on the affinity information, and the identified genre and user attributes are applied to the corresponding information. an estimation unit that estimates the difficulty level of the first recipe information for the user;
Equipped with
Cooking procedures that have affinity with the cooking genre are determined based on the frequency of appearance of each cooking procedure in recipes for dishes belonging to the cooking genre.
Information processing system. The cooking procedure that has affinity with the cooking genre is determined by calculating the frequency with which phrases that match each cooking procedure defined in a dictionary prepared in advance appear across recipes belonging to the cooking genre, and determining the cooking procedure with the corresponding frequency. It is determined by calculating the average over
The information processing system according to claim 1. The information holding unit holds, as the corresponding information, information that defines a relationship between the nationality or place of birth, which is one of the attributes of the person, and the difficulty level of each genre of cuisine,
The estimating unit estimates the difficulty level of the first recipe information for the user by applying the user 's nationality or place of birth and the specified genre to the corresponding information.
The information processing system according to claim 1 or claim 2 . The information holding unit further holds comments regarding each recipe information by each user, and information that further defines a relationship between a character string and a difficulty level of each dish, which is one of the corresponding information,
The estimating unit extracts the comment by another user whose attributes match or are similar to the user's with respect to the second recipe information, which is one of the recipe information, and extracts the comment based on the character string included in the comment and the correspondence information. a process of estimating a common difficulty level of the second recipe information for a user group having the attribute; and a process of estimating a common difficulty level of the second recipe information for the user group, and further performing a process of applying a common difficulty level of the second recipe information;
An information processing system according to any one of claims 1 to 3 . Means for searching the recipe information held in the information holding unit for recipe information that matches the difficulty level of the second recipe information for the user, and distributing the obtained information to the user.
The information processing system according to claim 4, further comprising:. The estimation unit estimates the technical ability of the user based on user information representing at least one of an attribute and an action history of the user, and calculates the estimated difficulty level of the first recipe information for the user and the technical ability. presenting the first recipe information or other recipe information to the user based on the information;
An information processing system according to any one of claims 1 to 5 . means for re-determining the estimated difficulty level of the first recipe information for the user further based on the user's action history;
means for distributing to the user another recipe information whose difficulty level for the user is the same as the re-determined difficulty level of the first recipe information;
The information processing system according to any one of claims 1 to 6, further comprising:. The estimation unit extracts the cooking time, cooking technique, cooking process, number of cooking steps, cooking utensils, or the number of cooking utensils from the first recipe information as cooking information, and extracts the cooking time, cooking technique, cooking process, number of cooking steps, cooking utensils, or the number of cooking utensils as cooking information, and estimating the difficulty level of the first recipe information for the user by applying the attribute of the user to the correspondence information;
An information processing system according to any one of claims 1 to 7 . The estimating unit extracts the ingredients, the cost of the ingredients, the season of the ingredients, or the amount of distribution in the first recipe information as cooking information, and combines the information and the attributes of the user into the corresponding information. estimating the difficulty level of the first recipe information for the user by applying
An information processing system according to any one of claims 1 to 8 . It holds correspondence information that defines the relationship between a person's attributes and the difficulty level of each dish, recipe information for each dish, and affinity information that defines cooking procedures that are compatible with the cooking genre for each cooking genre. Information holding department,
A genre that has a predetermined affinity with the cooking procedure extracted from the first recipe information, which is one of the recipe information, is identified based on the affinity information, and the identified genre and user attributes are combined with the recipe information. an estimation unit that estimates a difficulty level of the first recipe information for the user by applying information about the dish to be cooked to the correspondence information;
Equipped with
Cooking procedures that have affinity with the cooking genre are determined based on the frequency of appearance of each cooking procedure in recipes for dishes belonging to the cooking genre.
Information processing device. The information processing device
It maintains correspondence information that defines the relationship between a person's attributes and the difficulty level of each dish, recipe information for each dish, and affinity information that defines cooking procedures that are compatible with the cooking genre for each cooking genre. ,
A genre that has a predetermined affinity with the cooking procedure extracted from the first recipe information, which is one of the recipe information, is identified based on the affinity information, and the identified genre and user attributes are combined with the recipe information. estimating the difficulty level of the first recipe information for the user by applying information on the dish to be cooked to the corresponding information ;
Cooking procedures that have affinity with the cooking genre are determined based on the frequency of appearance of each cooking procedure in recipes for dishes belonging to the cooking genre.
Information processing method. In an information processing device,
It maintains correspondence information that defines the relationship between a person's attributes and the difficulty level of each dish, recipe information for each dish, and affinity information that defines cooking procedures that are compatible with the cooking genre for each cooking genre. ,
A genre that has a predetermined affinity with the cooking procedure extracted from the first recipe information, which is one of the recipe information, is identified based on the affinity information, and the identified genre and user attributes are combined with the recipe information. performing a process of estimating the difficulty level of the first recipe information for the user by applying information about the dish to be cooked to the correspondence information ;
Cooking procedures that have affinity with the cooking genre are determined based on the frequency of appearance of each cooking procedure in recipes for dishes belonging to the cooking genre.
program.