Information processing apparatus, information processing method, and information processing program

Abstract

To provide an absorbent article corresponding to the life style of a user.SOLUTION: The information processing apparatus includes an acquisition unit and a presentation unit. The acquisition unit acquires a user's answer to a series of questions including at least a question related to lifestyle. The presentation unit presents, to the user, a daytime absorbent article determined based on a first response among the responses and a night absorbent article determined based on a second response among the responses, as recommendation information.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] BACKGROUND ART Conventionally, techniques for proposing absorbent articles according to the physical characteristics of users have been known. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-2232 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the above-mentioned conventional techniques have room for improvement in terms of proposing absorbent articles that suit the lifestyles of users.

[0005] For example, in the above-mentioned conventional technology, absorbent articles to be recommended to a user are selected based on user information indicating the user's physical characteristics, preference information indicating the user's preferences, and exercise amount information indicating the user's exercise amount, but the lifestyle habits of the user are not taken into consideration. Therefore, the above-mentioned conventional technology does not necessarily make it possible to recommend absorbent articles that suit the user's lifestyle habits.

[0006] The present invention has been made in view of the above, and aims to propose an absorbent article that suits the lifestyle habits of users. [Means for solving the problem]

[0007] In order to solve the above problem, one embodiment of the information processing device according to the present invention comprises an acquisition unit that acquires a user's answers to a series of questions including at least a question about lifestyle habits, and a presentation unit that presents to the user, as recommendation information, a daytime absorbent article determined based on a first answer among the answers and a nighttime absorbent article determined based on a second answer among the answers. [Effects of the Invention]

[0008] According to the present invention, it is possible to propose absorbent articles that suit the lifestyle habits of users. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of an information processing system according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating an outline of the proposed technology provided by the server device. [Figure 3] FIG. 3 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [Figure 4] FIG. 4 is a diagram showing a specific example of a series of questions and a breakdown of the components that make up the questions. [Figure 5] FIG. 5 is a diagram showing a method for determining a daytime napkin that suits the lifestyle of a user. [Figure 6] FIG. 6 is a diagram illustrating an example of a database according to the embodiment. [Figure 7] FIG. 7 is a diagram showing a method for determining a nighttime napkin that suits the user's lifestyle. [Figure 8] FIG. 8 is a diagram illustrating an example of a database according to the embodiment. [Figure 9] FIG. 9 is a diagram showing a method for determining additional products that suit the lifestyle of a user. [Figure 10] FIG. 10 is a diagram illustrating an example of a database according to the embodiment. [Figure 11A]FIG. 11A is a flowchart (1) showing an example of the operation of the server device related to presenting a series of questions. [Figure 11B] FIG. 11B is a flowchart (2) showing an example of the operation of the server device related to presenting a series of questions. [Figure 11C] FIG. 11C is a flowchart (3) showing an example of the operation of the server device related to presenting a series of questions. [Figure 12] FIG. 12 is a diagram illustrating an example of a top screen according to the embodiment. [Figure 13] FIG. 13 is a diagram illustrating an example of a question screen according to the embodiment. [Figure 14] FIG. 14 is a diagram showing an example of a question screen according to the embodiment and an example of a transition from the question screen. [Figure 15] FIG. 15 is a diagram showing an example of a question screen according to the embodiment and an example of a transition from the question screen. [Figure 16] FIG. 16 is a diagram illustrating an example of a question screen according to the embodiment. [Figure 17] FIG. 17 is a diagram illustrating an example of a question screen according to the embodiment. [Figure 18] FIG. 18 is a diagram illustrating an example of a question screen according to the embodiment. [Figure 19] FIG. 19 is a diagram illustrating an example of the standby screen according to the embodiment. [Figure 20] FIG. 20 is a flowchart (1) illustrating an example of the operation of the server device when determining a recommendation target. [Figure 21] FIG. 21 is a flowchart (2) illustrating an example of the operation of the server device when determining a recommendation target. [Figure 22] FIG. 22 is a flowchart (3) illustrating an example of the operation of the server device when determining a recommendation target. [Figure 23] FIG. 23 is a flowchart (4) illustrating an example of the operation of the server device when determining a recommendation target. [Figure 24] FIG. 24 is a diagram showing an example of a diagnosis result screen according to the embodiment. [Figure 25] FIG. 25 is a diagram showing an example of a screen including a radar chart according to the embodiment. [Figure 26] FIG. 26 is a diagram illustrating an example of a hardware configuration. DETAILED DESCRIPTION OF THE INVENTION

[0010] At least the following matters will become clear from the description of this specification and the accompanying drawings.

[0011] Aspect 1 includes an acquisition unit that acquires a user's answers to a series of questions that at least include questions about lifestyle habits, and a presentation unit that presents to the user, as recommendation information, a daytime absorbent article determined based on a first answer among the answers and a nighttime absorbent article determined based on a second answer among the answers.

[0012] According to the first aspect, the series of questions presented includes questions used to determine which daytime sanitary products suit the user and questions used to determine which nighttime sanitary products suit the user. This is convenient because the user only needs to answer a series of questions. Furthermore, because the questions are divided into daytime sanitary products and nighttime sanitary products, it is possible to realize a service that can recommend daytime sanitary products and nighttime sanitary products that suit the user.

[0013] In aspect 2, in aspect 1, the series of questions includes a first combination of questions and a second combination of questions different from the first combination, and the user's answers to the series of questions are obtained as first answers to the questions of the first combination and second answers to the questions of the second combination, and a daytime absorbent article determined based on a predetermined answer from the first answers and a nighttime absorbent article determined based on a predetermined answer from the second answers are presented.

[0014] According to this aspect 2, it is possible to present daytime absorbent articles that suit the user's lifestyle and nighttime absorbent articles that suit the user's lifestyle, thereby improving the convenience of the absorbent article diagnostic service.

[0015] In aspect 3, in aspect 2, a determination unit is further provided which determines the daytime absorbent article to be presented based on a predetermined answer from the first answers, and determines the nighttime absorbent article to be presented based on a predetermined answer from the second answers, and determines the daytime absorbent article to be presented that has functions corresponding to the predetermined answer from the first answers, and determines the nighttime absorbent article to be presented that has functions corresponding to the predetermined answer from the second answers.

[0016] According to the third aspect, it is possible to provide daytime absorbent articles having functions suited to the lifestyle habits of users, and nighttime absorbent articles having functions suited to the lifestyle habits of users.

[0017] In aspect 4, in aspects 1 to 3, a classification unit is further provided that classifies the user into one of a plurality of types according to the lifestyle habits based on the user's answers to questions about the lifestyle habits among the questions included in the series of questions, and presents information about the type into which the user is classified along with the recommendation information.

[0018] According to the fourth aspect, the user can know what kind of absorbent article suits his or her type, which can increase the desire to purchase that absorbent article.

[0019] In aspect 5, in aspect 2, a third answer is further obtained, which is the user's answer to a third combination of questions in the series of questions that is different from the first combination and the second combination, and a nonwoven fabric product determined based on the third answer is presented to the user as additional recommendation information.

[0020] According to the fifth aspect, the user can learn about nonwoven fabric products that can be used during menstruation, which is useful for taking measures against menstruation.

[0021] In aspect 6, in aspect 5, the third combination of questions includes a question regarding exercise frequency and a question regarding menstrual concerns, and the presentation of the question regarding menstrual concerns to the user is controlled depending on the user's answer to the question regarding exercise frequency.

[0022] According to the sixth aspect, it is possible to propose a nonwoven fabric product that is useful for resolving menstrual problems that users have.

[0023] In a seventh aspect of the first aspect, characteristic information indicating characteristics of an absorbent article suitable for the user is further presented, the characteristics being determined based on the user's answers to questions included in the series of questions.

[0024] According to the seventh aspect, the user can know what characteristics of absorbent articles suit his / her lifestyle, thereby assisting the user in purchasing absorbent articles.

[0025] In aspect 8, in aspect 7, an evaluation index is calculated for each evaluation item corresponding to the question based on the user's answers, and the characteristics of an absorbent article suitable for the user are determined based on the evaluation index, and a radar chart generated based on the evaluation index is presented as the characteristic information.

[0026] According to the eighth aspect, the user can visually determine what characteristics of an absorbent article are suitable for his or her lifestyle.

[0027] A ninth aspect is any one of the first to eighth aspects, wherein the recommendation information includes a detailed description of the daytime absorbent article and a detailed description of the nighttime absorbent article.

[0028] According to the ninth aspect, the user can understand the performance and usage of the proposed absorbent article.

[0029] In a tenth aspect of the present invention, in any one of the first to ninth aspects, the information on the type into which the user is classified includes the classification name of the type and a detailed description of the type.

[0030] According to the tenth aspect, the user can know what type of lifestyle habits he or she belongs to.

[0031] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In this specification and drawings, components having substantially the same functional configurations are designated by the same reference numerals, and redundant description will be omitted.

[0032] One or more embodiments (including examples, modifications, and application examples) described below can be implemented independently. However, at least a portion of the embodiments described below may be implemented in appropriate combination with at least a portion of another embodiment. These embodiments may include novel features that are different from each other. Therefore, these embodiments may contribute to solving different purposes or problems and may produce different effects from each other.

[0033] Furthermore, the target users U of the present invention are assumed to be women (mainly women of the age when they will experience their first period), and the present invention digitally supports women's daily lives by recommending sanitary products that suit the lifestyle habits of the users U. On the other hand, the users U may also be women who have experienced menstruation.

[0034] (Embodiment) 1. Introduction When elementary and junior high school girls experience their first period, they do not know what kind of sanitary products to use and have a need for suggestions on sanitary products that suit them. As such, there is a method, like the conventional technology described above, that suggests sanitary products that suit the user U based on the user U's physical characteristics, preferences, and amount of exercise.

[0035] However, because user U has various lifestyle habits throughout the day, it may be difficult for the above-mentioned conventional technology to suggest sanitary products that fit those lifestyle habits. For example, user U's lifestyle habits may differ between daytime and nighttime, so it is desirable to be able to suggest sanitary products that suit her daytime lifestyle habits and sanitary products that suit her nighttime lifestyle habits, but the above-mentioned conventional technology is unable to accommodate such suggestions.

[0036] In some cases, the mother of user U will give advice on sanitary products, but even mothers often only have the ability to give advice on sanitary products that suit their child's build and preferences.

[0037] Therefore, in the proposed technology of the present invention, a set of questions including at least questions inquiring about lifestyle habits is presented to the user U, and daytime sanitary products and nighttime sanitary products are determined as recommended targets based on the answers of the user U. The set of questions presented to the user U includes questions used to determine daytime sanitary products suitable for the user U and questions used to determine nighttime sanitary products suitable for the user U, and the user U only needs to answer the set of questions, which is convenient. Furthermore, because the questions are divided into daytime sanitary products and nighttime sanitary products in this way, it is possible to realize a service that can recommend daytime sanitary products suitable for the user U and nighttime sanitary products suitable for the user U.

[0038] An embodiment of information processing according to the proposed technology of the present invention will be described below. In this embodiment, the sanitary product to be recommended is assumed to be a sanitary napkin (hereinafter simply referred to as "sanitary napkin"). Sanitary napkins are a type of absorbent article, and are broadly divided into daytime napkins (an example of a daytime absorbent article) and nighttime napkins (an example of a nighttime absorbent article).

[0039] As described above, the service realized by the proposed technology of the present invention recommends to the user U daytime and nighttime napkins that suit the user U's lifestyle. Therefore, this service is referred to as the "napkin diagnosis service SA." That is, the information processing according to the embodiment described below diagnoses daytime and nighttime napkins that suit the user U's lifestyle based on the user U's answers to a series of questions.

[0040] [2. System Configuration] Fig. 1 is a diagram showing an example of the configuration of an information processing system according to an embodiment. Fig. 1 shows an information processing system 1 as an example of the information processing system according to an embodiment. Information processing according to the embodiment (i.e., the proposed technology of the present invention) is realized in the information processing system 1. In the information processing system 1, a napkin diagnostic service SA is realized.

[0041] 1, the information processing system 1 includes a user device 10 and a server device 100. Note that the information processing system 1 may include a plurality of user devices 10 and a plurality of server devices 100.

[0042] The user device 10 is an example of an information processing terminal used by a user U. The user device 10 may be a smartphone, a wearable device, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. For example, an application for transmitting and receiving information to and from the server device 100 is installed in the user device 10. Such an application may be a general-purpose application such as a web browser, or may be a dedicated application newly implemented in accordance with the present invention. For example, this application may be implemented as a napkin diagnosis application AP corresponding to the napkin diagnosis service SA.

[0043] The server device 100 is a central device that performs information processing according to the embodiment, and may be implemented as a cloud server device. An overview of the information processing performed by the server device 100 will be described below.

[0044] [3. Overview of Information Processing] Fig. 2 is a diagram illustrating an overview of the proposed technology provided by the server device 100. Fig. 2 shows a scene in which a daytime napkin AP50 and a nighttime napkin AP60 suited to the lifestyle habits of a user U are determined based on answers a of the user U to a series of questions QG.

[0045] The series of questions QG includes a first set of questions q1 for determining which of the daytime napkins AP50 is suitable for the user U, and a second set of questions q2 for determining which of the nighttime napkins AP60 is suitable for the user U.

[0046] 2, the first combination of question q1 is composed of questions q11, q12, q13, and q 14. Therefore, in this example, the first combination is a combination of question q11, question q12, question q13, and question q14.

[0047] 2, the question q2 of the second combination is composed of the question q21. Therefore, according to this example, the second combination is a combination of only the question q21. Note that the question q2 of the second combination is not limited to only the question q21, but may be a set of multiple questions.

[0048] In this state, the server device 100 determines the daytime napkin AP50 to be recommended based on a predetermined answer a from the first answer a1, which is the answer a from the user U to the first combination of questions q1 (questions q11, q12, q13 and q14).

[0049] For example, when the answer a11 of the user U to a predetermined question (e.g., question q11) among the questions q1 of the first combination (questions q11, q12, q13, and q14) is a specific answer (content), the server device 100 determines the daytime napkin AP50 to be recommended based on the answer a11 of the user U to question q11 and the answer a14 of the user U to question q14, as shown in Fig. 2. Fig. 2 shows an example in which the server device 100 determines the daytime napkin AP51 as an example of the daytime napkin AP50 to be recommended.

[0050] On the other hand, when the answer a11 of the user U to a predetermined question (for example, question q11) among the questions q1 of the first combination (questions q11, q12, q13, and q14) is an answer other than a specific answer (content), the server device 100 determines the daytime napkin AP50 to be recommended based on the answers a11, a12, a13, and a14 of the user U to the questions q11, q12, q13, and q14, respectively, as shown in Figure 2. Figure 2 shows an example in which the server device 100 determines the daytime napkin AP52 as an example of the daytime napkin AP50 to be recommended.

[0051] Furthermore, the server device 100 determines the nighttime napkin AP60 to be recommended based on a predetermined answer a from the second answer a2, which is the answer a from the user U to the question q2 of the second combination (question q21). For example, the server device 100 determines the nighttime napkin AP60 to be recommended based on the answer a21 from the user U to the question q21. Fig. 2 shows an example in which the server device 100 determines the nighttime napkin AP61 as an example of the nighttime napkin AP60 to be recommended.

[0052] Then, the server device 100 presents recommendation information including information on the recommended daytime napkin AP50 and information on the recommended nighttime napkin AP60 to the user U. Specifically, the server device 100 transmits the recommendation information to the user device 10 so that the recommendation information is displayed on the user device 10 of the user U.

[0053] In this way, the server device 100 determines the recommended daytime napkin AP50 based on the first answer a1 to the first combination of questions q1 (questions q11, q12, q13, and q14) from the series of questions QG that includes at least a question about lifestyle habits. Therefore, it can be said that the daytime napkin AP50 is suited to the lifestyle habits of the user U.

[0054] Furthermore, the server device 100 determines the recommended nighttime napkin AP60 based on the second answer a2 to the second combination question q2 (question q21) from the series of questions QG that includes at least a question about lifestyle habits. Therefore, it can be said that the nighttime napkin AP60 is suited to the lifestyle habits of the user U.

[0055] 2, the server device 100 classifies the user U into one of a plurality of types TY70 according to lifestyle habits based on the user U's answers a to questions about lifestyle habits included in the series of questions QG. The server device 100 may then present information about the type TY70 into which the user U has been classified, along with the recommendation information.

[0056] 2, the server device 100 may further determine an additional product PD80 to be recommended based on a third answer a3, which is the answer a from the user U to a question q3 in a third combination different from the first and second combinations in the series of questions QG. The server device 100 then adds information about the additional product PD to the recommendation information to be presented as additional recommendation information. The additional product PD80 may be, for example, a nonwoven fabric product used for menstrual care. Such nonwoven fabric products may be, for example, tampons, interlabial pads, absorbent shorts, wipes, etc.

[0057] 4. Server Device Configuration The server device 100 according to the embodiment will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the configuration of the server device 100 according to the embodiment. As shown in Fig. 3, the server device 100 includes a communication unit 110, a database 120, and a control unit 130.

[0058] (Communication unit 110) The communication unit 110 is realized by, for example, a network interface card (NIC), etc. For example, the communication unit 110 transmits and receives information to and from the user device 10.

[0059] (Database 120) The database 120 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. The database 120 may store, for example, data and programs related to the information processing according to the embodiment. As shown in FIG. 3, the database 120 may be composed of a database 121, a database 122, and a database 123.

[0060] The database 121 (Figure 6) stores condition information for determining the daytime napkin AP50 to be recommended from among the candidate daytime napkins AP50, and condition information for determining which of the candidate types TY70 to classify user U into.

[0061] The database 122 (FIG. 8) stores condition information for determining the nighttime napkin AP60 to be recommended from among the candidate nighttime napkin AP60.

[0062] The database 123 (FIG. 10) stores condition information for determining an additional product PD80 to be recommended from among candidate additional product PD80s.

[0063] (control unit 130) The control unit 130 is realized by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like executing various programs (for example, the information processing program according to the embodiment) stored in a storage device inside the server device 100 using RAM as a work area. The control unit 130 is also realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0064] As shown in Fig. 3, the control unit 130 has a reception unit 131, an acquisition unit 132, a determination unit 133, a classification unit 134, a presentation unit 135, and a calculation unit 136, and realizes or executes the functions and actions of information processing described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in Fig. 3, and may have other configurations as long as they perform the information processing described below. Furthermore, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship shown in Fig. 3, and may have other connection relationships.

[0065] (Reception Department 131) The receiving unit 131 receives various information related to requests, inputs, requests, etc. For example, the receiving unit 131 receives various information related to requests, inputs, requests, etc. from the user device 10.

[0066] (Acquisition part 132) The acquiring unit 132 acquires an answer a from the user U to a series of question groups QG that includes at least a question about lifestyle habits. For example, the acquiring unit 132 acquires a first answer a1 (answers a11, a12, a13, and a14) that is the answer a from the user U to question q1 of the first combination (questions q11, q12, q13, and q14) as the answer a from the user U to the series of question groups QG. In addition, the acquiring unit 132 acquires a second answer a2 (answer a21) that is the answer a from the user U to question q2 (question q21) of the second combination as the answer a from the user U to the series of question groups QG.

[0067] The acquiring unit 132 also acquires a third answer a3 as the answer a from the user U to a question q3 in a third combination that is different from the first and second combinations in the series of questions QG.

[0068] The acquiring unit 132 may also acquire user information of the user U. For example, the acquiring unit 132 may acquire, as the user information, a user ID, date of birth, age, occupation (or year in the case of a student), weight, height, whether or not the user has experienced menstruation, family composition, etc. The user U can register the user information in the server device 100 using the user device 10.

[0069] (Decision unit 133) The determination unit 133 determines a daytime napkin AP50 to be recommended (presented) based on a predetermined answer a from among the first answers a1, which are the answers a from the user U to the questions q1 of the first combination (questions q11, q12, q13, and q14). For example, the determination unit 133 refers to the database 121, determines a daytime napkin AP50 that has a function corresponding to the predetermined answer a from the first answers a1, and determines the daytime napkin AP50 as a recommendation target.

[0070] Furthermore, the determination unit 133 determines the nighttime napkin AP60 to be recommended (presented) based on a predetermined answer a from the second answer a2, which is the answer a from the user U to the question q2 (question q21) of the second combination. For example, the determination unit 133 refers to the database 122, determines the nighttime napkin AP60 that has a function corresponding to the predetermined answer a from the second answer a2, and determines the nighttime napkin AP60 as the recommendation target.

[0071] Furthermore, the determination unit 133 may further determine an additional product PD80 to be recommended based on a third answer a3, which is the answer a of the user U to the question q3 of the third combination. For example, the determination unit 133 refers to the database 123, determines an additional product PD80 that has a function corresponding to the third answer a3, and determines the additional product PD80 as a target for additional recommendation. As will be described later, the question q3 of the third combination includes a question about exercise frequency and a question about current physical concerns (for example, concerns about menstruation).

[0072] (Classification section 134) The classification unit 134 classifies the user U into one of a plurality of types TY70 according to lifestyle habits, based on the answer a of the user U to the questions about lifestyle habits included in the series of question group QG. For example, the classification unit 134 refers to the database 121, determines the type TY70 according to the answer a of the user U to the questions about lifestyle habits, and classifies the user U into that type TY70.

[0073] The type TY70 into which the user U is classified may be any type that suggests the personality (traits) of the user U. For example, possible candidates for the type TY70 include a "manager type," a "leader type," an "athlete type," a "go-at-your-own-pace type," and a "natural type."

[0074] (Presentation part 135) The presentation unit 135 controls information presentation in the information processing according to the embodiment. For example, the presentation unit 135 presents recommendation information to the user U. For example, the presentation unit 135 presents recommendation information including information on a daytime napkin AP50 to be recommended and information on a nighttime napkin AP60 to be recommended to the user U. The presentation unit 135 may further add and present information on an additional product PD as recommendation information. The presentation unit 135 may also present information on the type TY70 into which the user U is classified, along with the recommendation information.

[0075] As described above, the third combination of questions q3 includes a question about exercise frequency and a question about menstrual concerns, and the presentation unit 135 may control whether or not to present the question about menstrual concerns to user U depending on user U's answer a to the question about exercise frequency.

[0076] In the following embodiment, the presentation of information by the presentation unit 135 includes the concept of display control so that information is displayed on the user device 10 of the user U.

[0077] (Calculation unit 136) The calculation unit 136 controls information calculation in the information processing according to the embodiment. For example, the calculation unit 136 calculates an evaluation value that indicates how suitable a specific target is for the user U.

[0078] [5. Specific examples of a series of questions] 4 is a diagram showing a specific example of a series of question groups QG and the breakdown of the components that make up the question group QG. According to the example in FIG. 4, questions Q1, Q2, Q3, Q4, Q5, and Q6 are presented in this order depending on the answering behavior of user U. Therefore, the question group consisting of questions Q1, Q2, Q3, Q4, Q5, and Q6 can be said to be an example of a series of question groups QG.

[0079] 4, the first combination of question q1 is composed of questions Q1, Q2, Q3, and Q4. Therefore, in this example, the first combination is a combination of questions Q1, Q2, Q3, and Q4. Note that the first combination of question q1 does not need to be a question set of multiple questions, and may be just one question.

[0080] The question q2 of the second combination is composed of the question Q5. Therefore, according to this example, the second combination is a combination of only the question Q5. Note that the question q2 of the second combination is not limited to only the question Q5, but may be a set of multiple questions.

[0081] The third combination of question q3 is composed of questions Q2 and Q6. Therefore, according to this example, the third combination is the combination of question Q2 and question Q6.

[0082] Question Q1 is a question asking about the user's usual lifestyle habits, and the receiving unit 131 receives an answer a to question Q1. For example, as candidates for answer a to question Q1, "busy," "(often) sitting for long periods of time," "(often) doing as usual," and "(often) taking it easy" are presented in a selection format, and the receiving unit 131 receives the candidate selected by the user U as answer a.

[0083] Question Q2 is a question asking about the usual frequency of exercise, and the receiving unit 131 receives an answer a to question Q2. For example, as candidates for answer a to question Q2, "more than half the week," "once or twice a week," "once or twice a month," and "almost never" are presented in a selection format, and the receiving unit 131 receives the candidate selected by the user U as answer a.

[0084] Question Q3 is a question asking about a preferred design for individual napkin packaging, and the reception unit 131 receives an answer a to question Q3. For example, as candidates for answer a to question Q3, "elegant," "simple," and "none in particular" are presented in a selection format, and the reception unit 131 receives the candidate selected by user U as answer a.

[0085] Question Q4 is a question asking about the user's preference for napkin thickness, and the reception unit 131 receives an answer a to question Q4. For example, "fluffy" and "slim" are presented as candidates for answer a to question Q4 in a selection format, and the reception unit 131 receives the candidate selected by the user U as answer a.

[0086] Question Q5 is a question asking about preferences for napkins when going to bed, and the reception unit 131 receives an answer a to question Q5. For example, as candidates for answer a to question Q5, "It fits snugly," "I don't like it being too tight," "I want to be able to turn over in bed without worrying about my period," and "I want to go to bed early and want to get ready easily" are presented in a selection format, and the reception unit 131 receives the candidate selected by user U as answer a.

[0087] Question Q6 is a question asking about worries about menstruation, and the receiving unit 131 receives an answer a to question Q6. For example, as candidates for answer a to question Q6, "I want to take swimming lessons," "I don't want to spend time changing," "I don't want to get my underwear dirty with my period," and "I'm worried about the stickiness in my private parts" are presented in a selection format, and the receiving unit 131 receives the candidate selected by user U as answer a.

[0088] According to the example of Figure 4, the determination unit 133 determines the daytime napkin AP50 to be recommended based on a predetermined answer a from the first answer A1 (answers A11, A12, A13 and A14), which is the answer a of the user U to the first combination of question q1 (questions Q1, Q2, Q3 and Q4).

[0089] Furthermore, the determination unit 133 determines the recommended nighttime napkin AP60 based on the second answer A2, which is the answer a from the user U to the question q2 (question Q5) of the second combination.

[0090] In addition, the determination unit 133 determines the additional product PD80 to be recommended based on a predetermined answer a from the third answer A3 (answers A31 and A32), which is the answer a of the user U to the question q3 of the third combination (questions Q2 and Q6).

[0091] On the other hand, the classification unit 134 classifies the user U into one of a plurality of types TY70 according to lifestyle habits based on, for example, the user U's answers A11 and A12 to questions Q1 and Q2, which are questions about lifestyle habits included in a series of questions QG.

[0092] The order in which the questions included in the series of question group QG are presented is not limited to question Q1, question Q2, question Q3, question Q4, question Q5, and question Q6, and may be other orders.

[0093] In the following embodiment, the contents of the questions Q1 to Q6 and the candidates for answers a to the questions Q1 to Q6 are assumed to follow the example in Fig. 4. However, the candidates for answers a to the questions Q1 to Q6 are not limited to the example in Fig. 4.

[0094] For example, in the following embodiment, the possible answers to question Q1 are "busy," "sitting for a long time," "as usual," and "relaxed." However, the possible answers to question Q1 are not limited to these examples. For example, "as usual" may be changed to "going to the bathroom more often," and "relaxed" may be changed to "as usual."

[0095] In the following embodiment, the possible answers to question Q3 are "elegant," "simple," and "nothing in particular." However, the possible answers to question Q3 are not limited to these examples. For example, "elegant" may be changed to "stylish."

[0096] In the following embodiment, the content of question Q4 asks about the preferred thickness of napkins, and the possible answers to question Q4 are "soft" and "slim." However, question Q4 may be changed to ask about the size of the pouch in which the napkins are placed, and accordingly, the possible answers to question Q4 may be changed to "large," "normal," "small," and "not in the pouch (in my pocket)."

[0097] In the following embodiment, the possible answers to question Q6 are "I want to take swimming lessons," "I don't want to spend time changing," "I don't want to get my underwear dirty during my period," and "I'm worried about the stickiness in my private parts." However, the possible answers to question Q6 are not limited to these examples. For example, "I don't want to get my underwear dirty during my period" may be changed to "My underwear sometimes gets whitish stains."

[0098] [6. Specific examples of recommendation target determination methods] Next, a specific example of a method for determining a recommendation target will be described using the example in Fig. 4. Figs. 5 and 6 describe a specific example of a method for determining a daytime napkin AP50 to be recommended. Figs. 7 and 8 describe a specific example of a method for determining a nighttime napkin AP60 to be recommended. Figs. 9 and 10 describe a specific example of a method for determining an additional product PD80 to be recommended.

[0099] (Daytime napkin selection method) Fig. 5 is a diagram showing a method for determining a daytime napkin AP50 that suits the lifestyle of a user U. Fig. 5 shows a portion extracted from Fig. 4 that is necessary for determining a daytime napkin AP50 to be recommended. According to the example of Fig. 5, the first set of questions q1 (questions Q1, Q2, Q3, and Q4) is a group of questions for determining a daytime napkin AP50 that suits the user U from among the candidate daytime napkins AP50.

[0100] For example, suppose that questions Q1, Q2, Q3, Q4, Q5, and Q6 are presented in this order, and all answers a from user U to these questions are accepted. In this case, the acquisition unit 132 acquires a first answer A1 (answers A11, A12, A13, and A14) to a first combination of questions q1 (questions Q1, Q2, Q3, and Q4) from the series of questions QG.

[0101] Furthermore, when determining a daytime napkin AP50 that suits the lifestyle of the user U, if the answer A13 to question Q3 is a specific answer (e.g., elegant), an additional question Q31 asking about a favorite fragrance is presented. The receiving unit 131 then receives an answer a to the additional question Q31. For example, "nothing in particular," "soap," and "flowers" are presented in a selection format as candidates for the answer a to the additional question Q31, and the receiving unit 131 accepts the candidate selected by the user U as the answer a. That is, the acquiring unit 132 acquires the answer A131, which is the answer a of the user U to the additional question Q31.

[0102] In this state, the determination unit 133 determines the daytime napkin AP50 to be recommended based on a set of answers from the first answer A1 (answers A11, A12, A13, and A14).

[0103] For example, when the answer A11 of the user U to a specific question (e.g., question Q1) among the first combination of questions q1 (questions Q1, Q2, Q3, and Q4) is a specific answer (e.g., "busy"), the determination unit 133 determines the recommended daytime napkin AP50 based on the answer pair of answer A11 to question Q1 and answer A14 to question Q4.

[0104] On the other hand, when the answer A11 of the user U to a predetermined question (for example, question Q1) among the questions q1 of the first combination (questions Q1, Q2, Q3, and Q4) is an answer other than a specific answer (for example, "busy"), the determination unit 133 determines the recommended daytime napkin AP50 based on the answers A11, A12, A13, and A14 of the user U to the questions Q1, Q2, Q3, and Q4, respectively. More specifically, when the answer A131 to the additional question Q31 has also been acquired, the determination unit 133 determines the recommended daytime napkin AP50 based on the answer set combining the answers A11, A12, A13, and A14 with the answer A131.

[0105] The determination unit 133 refers to the database 121, determines the daytime napkin AP50 that has the functions corresponding to the response set, and determines the daytime napkin AP50 as the recommendation target.

[0106] An example of the database 121 according to the embodiment is shown in Fig. 6. In the example of Fig. 6, the database 121 according to the embodiment has items such as "answer set," "type," "detailed type description," "daytime napkin," "function," and "detailed product description."

[0107] The "answer set" is a candidate for the answer set from the first answer A1 (answers A11, A12, A13, and A14).

[0108] "Type" is a candidate type TY70 into which the user U is classified. "Type detailed explanation" is text TX70 that explains the specific contents of the "type."

[0109] "Daytime napkins" are candidate daytime napkins AP50 recommended to user U. "Function" is a function F50 that "daytime napkins" have. "Product details" is text TX50 that explains the specific contents of "daytime napkins." The text TX50 may also include an explanation of the function F50.

[0110] In this way, daytime napkins AP50 with various functions F50 are prepared in advance, and an optimal combination of answers exists for each function F50. Therefore, in order to select a daytime napkin AP50 with functions F50 that suit the lifestyle of the user U from among the candidate daytime napkins AP50, a process is performed in which a predetermined combination of answers a from the first answers A1 (answers A11, A12, A13, and A14) to the first combination of questions q1 (questions Q1, Q2, Q3, and Q4) is used.

[0111] According to the above example, when the answer A11 of the user U to a predetermined question (for example, question Q1) is a specific answer, the determination unit 133 determines the daytime napkin AP50 to be recommended from among the candidate daytime napkins AP51 to AP56 by comparing the "answer set" of answers A11 and A14 with the "answer set" in the database 121.

[0112] In addition, if the answer A11 of the user U to a predetermined question (for example, question Q1) is an answer other than a specific answer, the determination unit 133 determines the recommended daytime napkin AP50 from among the candidate daytime napkins AP51 to AP56 by comparing the ``answer set'' formed by combining the answers A11, A12, A13, and A14 with the answer A131 with the ``answer set'' in the database 121.

[0113] In addition, the classification unit 134 compares the "answer set" of answer A11 to question Q1 and answer A14 to question Q4 with the "answer set" in the database 121, and selects type TY70 to classify user U from among the candidate types TY71 to TY76.

[0114] It should be noted that the information stored in database 121 is not limited to the example in Fig. 6. For example, database 121 may not have a "function" item, and information on "function" may be included in "product details description."

[0115] (How to decide which nighttime napkin to use) Fig. 7 is a diagram showing a method for determining a nighttime napkin AP60 that suits the lifestyle of user U. Fig. 7 shows a portion extracted from Fig. 4 that is necessary for determining a nighttime napkin AP60 to be recommended. According to the example of Fig. 7, question q2 of the second combination (question Q5 only) is a question for determining a nighttime napkin AP60 that suits user U from among the candidate nighttime napkins AP60.

[0116] For example, suppose that questions Q1, Q2, Q3, Q4, Q5, and Q6 are presented in this order, and all answers a from user U to these questions are accepted. In this case, the acquisition unit 132 acquires a second answer A2 to question q2 (question Q5) in the second combination of questions QG.

[0117] In this state, the determination unit 133 determines the nighttime napkin AP60 to be recommended based on the answer set (in this example, only the answer A2) of the second answer A2. For example, the determination unit 133 refers to the database 122, determines the nighttime napkin AP60 having the function corresponding to the answer set, and determines the nighttime napkin AP60 to be recommended.

[0118] An example of the database 122 according to the embodiment is shown in Fig. 8. In the example of Fig. 8, the database 122 according to the embodiment has items such as "answer set," "night napkin," "function," and "detailed product description."

[0119] The "answer set" is a candidate for the second answer A2. "Nighttime napkins" is a candidate nighttime napkin AP60 recommended to user U. "Function" is a function F60 that "Nighttime napkins" has. "Product details description" is text TX60 that explains the specific contents of "Nighttime napkins". The text TX60 may also include an explanation of the function F60.

[0120] Furthermore, as described above, nighttime napkins AP60 having various functions F60 are prepared in advance, and an optimal answer exists for each function F60. Therefore, a process is performed in which the second answer A2 to the question q2 of the second combination (question Q5) is used so that a nighttime napkin AP60 having a function F60 that suits the lifestyle of the user U can be selected from among the candidate nighttime napkins AP60. Note that, depending on the function F60 of the nighttime napkin AP60, a configuration may be adopted in which, as in the case of determining the daytime napkin AP50, multiple answers a, rather than a single answer A2, are obtained as the second answer to the question q2 of the second combination, and a predetermined combination of the answers a is used.

[0121] According to the above example, the determination unit 133 compares the "answer set" of answer A2 with the "answer sets" in the database 121 to determine the nighttime napkin AP60 to be recommended from among the candidate nighttime napkins AP61 to AP62.

[0122] It should be noted that the information stored in database 122 is not limited to the example in Fig. 8. For example, database 122 may not have a "function" item, and information on "function" may be included in "product details description."

[0123] (Method for determining additional products) Fig. 9 is a diagram showing a determination method for determining an additional product PD80 that suits the lifestyle of user U. Fig. 9 shows a portion extracted from Fig. 4 that is necessary for determining an additional product PD80 that will be an additional recommendation target. According to the example in Fig. 9, the third combination of questions q3 (questions Q2 and Q6) is a group of questions for determining an additional product PD80 that suits user U from among the candidates.

[0124] For example, suppose that questions Q1, Q2, Q3, Q4, Q5, and Q6 are presented in this order, and all answers a from user U to these questions are accepted. In this case, the acquisition unit 132 acquires a third answer A3 (answers A31 and A32) to a third combination of questions q3 (questions Q2 and Q6) from the series of questions QG.

[0125] Furthermore, when determining an additional product PD80 that suits the lifestyle of user U, if answer a to question Q2 indicates an answer that falls into the category of high frequency of exercise, additional question Q21 is presented, asking about the type of exercise that is frequently performed.

[0126] Therefore, the receiving unit 131 receives answer a to the additional question Q21. For example, as candidates for answer a to the additional question Q21, "swimming," "ballet / gymnastics," "ball games," "track and field," "martial arts," and "other" are presented in a selection format, and the receiving unit 131 receives the candidate selected by the user U as answer a. In other words, the acquiring unit 132 acquires answer A311, which is answer a from the user U to the additional question Q21.

[0127] In this state, the determination unit 133 determines an additional product PD80 to be recommended based on a set of answers from the third answer A3 (answers A31 and A32).

[0128] For example, when the answer A311 to the additional question Q21 indicates a type of exercise that requires wearing tight clothing (e.g., "swimming" or "ballet / gymnastics"), the presentation unit 135 may omit presentation of the question Q6 among the questions q3 of the third combination (questions Q2 and Q6). This is based on the idea that, among candidate products for the additional product PD80 that have various functions F80, it is possible to determine the function F80 that suits the lifestyle of the user U based only on the answer A311 to the additional question Q21, without even needing to obtain the answer A32 to the question Q6.

[0129] On the other hand, when the answer A311 to the additional question Q21 indicates an exercise type other than an exercise type requiring tight clothing (for example, "swimming" or "ballet / gymnastics"), the presentation unit 135 also presents the question Q6. This is based on the idea that, among the additional products PD80 having various functions F80, the function F80 that suits the lifestyle of the user U cannot be determined from the answer A311 to the additional question Q21 alone, and therefore the answer A32 to the question Q6 is also required.

[0130] That is, when the answer a to the additional question Q21 indicates a type of exercise that requires wearing tight clothing, the determination unit 133 determines the additional product PD80 to be recommended based on the answer set that is the answer A31 to the question Q2. More specifically, the determination unit 133 determines the additional product PD80 to be recommended based on the answer set that combines the answer A31 to the question Q2 with the answer A311 to the additional question Q21.

[0131] On the other hand, when the answer a to the additional question Q21 indicates an exercise other than the type of exercise that requires wearing tight clothing, the determination unit 133 determines the additional product PD80 to be recommended based on the answer A31 to the question Q2 and the answer A32 to the question Q6. More specifically, the determination unit 133 determines the additional product PD80 to be recommended based on a set of answers that combines the answers A31 and A32 with the answer A311 to the additional question Q21.

[0132] The determination unit 133 refers to the database 123, determines an additional product PD80 that has a function corresponding to the response set, and determines the additional product PD80 as a recommendation target.

[0133] An example of the database 123 according to the embodiment is shown in Fig. 10. In the example of Fig. 10, the database 123 according to the embodiment has items such as "answer set," "additional product," "function," and "detailed product description."

[0134] The "answer set" is a candidate answer set from the third answer A3 (answers A31 and A32). The "additional product" is a candidate additional product PD80 to be recommended to the user U. The "function" is a function F60 that the "additional product" has. The "product detail description" is text TX80 that explains the specific contents of the "additional product". The text TX80 may also include an explanation of the function F80.

[0135] According to the above example, the determination unit 133 determines the additional product PD to be recommended from among the candidate additional products PD81 to PD84 by comparing the "answer set" according to whether or not the answer a to question Q2 is an answer in the category of high exercise frequency with the "answer set" in the database 123.

[0136] It should be noted that the information stored in database 123 is not limited to the example in Fig. 10. For example, database 123 may not have a "function" field, and information on "function" may be included in "product details description."

[0137] The text TX80 may also include a comment about the customer's concerns. For example, if the additional product PD80 is a tampon, a comment about the customer's concerns might be, "For those of you who exercise regularly! Why not take this opportunity to try out tampons for the first time? Even beginners can feel at ease by watching the instruction video."

[0138] [7. Question Presentation Procedure] 11A to 11C, an example of the operation of the server device 100 when presenting a series of question groups QG will be described. In addition, in explaining Fig. 11A to 11C, an example of a screen related to the presentation of a series of question groups QG will also be described.

[0139] FIG. 11A is a flowchart (1) showing an example of the operation of the server device 100 in relation to presenting a series of question groups QG.

[0140] The reception unit 131 determines whether or not access to the top screen G1 corresponding to the napkin diagnosis service SA has been accepted from the user U (step S1101). If access to the top screen G1 has not been accepted from the user U (step S1101; No), the reception unit 131 waits until access is accepted from the user U.

[0141] On the other hand, if the presentation unit 135 receives an access to the top screen G1 from the user U (step S1101; Yes), it presents the top screen G1 to the user U (step S1102).

[0142] 12 is a diagram showing an example of a top screen G1 according to an embodiment. The background of the top screen G1 may be designed with a picture or character that the user U is likely to like. Similar design may also be adopted for other screens, which will be described later.

[0143] Furthermore, as shown in FIG. 12, the top screen G1 may be provided with a button BT11 for requesting the server device 100 to start a diagnosis, and a button BT12 for instructing the server device 100 to present the results of the previous (or previous) diagnosis.

[0144] 11A, while the top screen G1 is being presented to the user U, the reception unit 131 determines whether or not a request to start diagnosis has been received (step S1103). The reception unit 131 may determine whether or not a request to start diagnosis has been received based on whether or not the button BT11 on the top screen G1 has been pressed. If the reception unit 131 has not received a request to start diagnosis (step S1103; No), the reception unit 131 waits until a request to start diagnosis is received.

[0145] On the other hand, if the request to start the diagnosis is accepted (step S1103; Yes), the presenting unit 135 presents the question Q1 to the user U via the question screen G2 (step S1104).

[0146] 13 is a diagram showing an example of a question screen G2 according to an embodiment. The question screen G2 displays the question Q1 described in FIG. 4. The question screen G2 may also display, in a selectable format, the following answer candidates for the question Q1: "busy," "(often) sitting for long periods of time," "(often) doing as usual," and "(often) relaxing."

[0147] The answer a to the question Q1 is acquired as an answer A11, which is one of the first answers A1 to the question q1 of the first combination. In addition, the question screen G2 may be provided with a button BT2 for confirming the selected answer a and requesting the presentation of the next question.

[0148] 11A, while the question screen G2 is being presented to the user U, the receiving unit 131 determines whether or not an answer a to the question Q1 has been received from the user U via the question screen G2 (step S1105). The receiving unit 131 may determine whether or not the answer a has been received based on whether or not the button BT2 on the question screen G2 has been pressed. If the answer a has not been received (step S1105; No), the receiving unit 131 waits until the answer a is received.

[0149] On the other hand, if the answer A11 is accepted (step S1105; Yes), the presenting unit 135 presents the question Q2 to the user U via the question screen G3 (step S1106).

[0150] 14 is a diagram showing an example of a question screen G3 according to an embodiment and an example of a transition from the question screen G3. The question screen G3 displays the question Q2 described in FIG. 4. The question screen G3 may also display, in a selectable format, the following options for the answer a to the question Q2: "more than half the week," "1-2 times a week," "1-2 times a month," and "almost never."

[0151] Answer a to question Q2 is acquired as answer A12, which is one of the first answers A1 to question q1 in the first combination. Also, answer a to question Q2 is acquired as answer A31, which is one of the third answers A3 to question q3 in the third combination. Also, the question screen G3 may be provided with a button BT3 that confirms the selected answer a and requests the presentation of the next question.

[0152] 11A, while the question screen G3 is being presented to the user U, the receiving unit 131 determines whether or not an answer a to the question Q2 has been received from the user U via the question screen G3 (step S1107). The receiving unit 131 may determine whether or not the answer a has been received based on whether or not the button BT3 on the question screen G3 has been pressed. If the answer a has not been received (step S1107; No), the receiving unit 131 waits until the answer a is received.

[0153] On the other hand, if answer a is accepted (step S1107; Yes), the presenting unit 135 determines whether the content of answer a is a specific answer among the candidates presented in a selection format on the question screen G3 (step S1108). For example, the presenting unit 135 may determine whether the content of answer a is an answer indicating an answer in the category of high exercise frequency. As an example, the presenting unit 135 may determine whether the content of answer a is "more than half the week" or "once or twice a week."

[0154] If the presenting unit 135 determines that the content of the answer a is a specific answer (step S1108; Yes), it presents the additional question Q21 to the user U via the question screen G31 (step S1109).

[0155] 14 also shows an example of a question screen G31 according to the embodiment. The question screen G31 displays the additional question Q21 described in FIG. 9. The question screen G31 may also display, in a selectable format, the following options for the answer a to the additional question Q21: "swimming," "ballet / gymnastics," "ball games," "track and field," "martial arts," and "other."

[0156] The answer a to the follow-up question Q21 is acquired as an answer A311. The question screen G31 may also be provided with a button BT31 for confirming the selected answer a and requesting the presentation of the next question.

[0157] The Yes / No determination in step S1108 and the presentation of the additional question Q21 are processes performed to determine, as the additional product PD80, a candidate product with a function F80 that matches the exercise status of the user U, among candidate products with various functions F80 that are available as candidate products for the additional product PD80. Therefore, these processes are not essential processes in the information processing according to the embodiment. For example, if a candidate product with a new function F80 is newly released, a Yes / No determination corresponding to the candidate product and an additional question Q21 with content corresponding to the candidate product may be performed. On the other hand, depending on the function F80, a Yes / No determination may not be performed or the additional question Q21 may not be presented. For example, if the candidate product functions F80 are not divided into variations according to the exercise status, these processes may not be performed.

[0158] 11A, while the question screen G31 is being presented to the user U, the receiving unit 131 determines whether or not an answer a to the additional question Q21 has been received from the user U via the question screen G31 (step S1110). The receiving unit 131 may determine whether or not the answer a has been received based on whether or not the button BT31 on the question screen G31 has been pressed. If the answer a has not been received (step S1110; No), the receiving unit 131 waits until the answer a is received.

[0159] On the other hand, if the answer a is accepted by the accepting unit 131 (step S1110; Yes), the process proceeds to process A and subsequent steps.

[0160] Furthermore, if the presenting unit 135 determines that the content of the answer a is an answer other than the specific answer (step S1108; No), the additional question Q21 is not presented, and the process proceeds to process A and thereafter.

[0161] Next, we move on to the explanation of Fig. 11B. Fig. 11B is a flowchart (2) showing an example of the operation of the server device 100 related to the presentation of a series of question groups QG. Fig. 11B shows an example of the operation executed when proceeding to process A.

[0162] Meanwhile, the presenting unit 135 presents the question Q3 to the user U via the question screen G4 (step S1111).

[0163] 15 is a diagram showing an example of a question screen G4 according to an embodiment and an example of a transition from the question screen G4. The question screen G4 displays the question Q3 described in FIG. 4. The question screen G4 may also display, in a selectable format, the following options for the answer a to the question Q3: "elegant," "simple," and "none in particular."

[0164] The answer a to the question Q3 is acquired as an answer A13, which is one of the first answers A1 to the question q1 of the first combination. The question screen G4 may also be provided with a button BT4 for confirming the selected answer a and requesting the presentation of the next question.

[0165] 11B, while the question screen G4 is being presented to the user U, the receiving unit 131 determines whether or not an answer a to the question Q3 has been received from the user U via the question screen G4 (step S1112). The receiving unit 131 may determine whether or not the answer a has been received based on whether or not the button BT4 on the question screen G4 has been pressed. If the answer a has not been received (step S1112; No), the receiving unit 131 waits until the answer a is received.

[0166] On the other hand, if the answer a is accepted (step S1112; Yes), the presenting unit 135 determines whether the content of the answer a is a specific answer among the candidates presented in a selection format on the question screen G4 (step S1113). For example, the presenting unit 135 may determine whether the content of the answer a is "elegant."

[0167] If the presenting unit 135 determines that the content of the answer a is a specific answer (step S1113; Yes), it presents the additional question Q31 to the user U via the question screen G41 (step S1114).

[0168] Fig. 15 also shows an example of a question screen G41 according to the embodiment. The question screen G41 displays the additional question Q31 described in Fig. 5. The question screen G41 may also display, in a selectable format, the following options for answer a to the additional question Q31: "Nothing in particular," "Soap," and "Flowers."

[0169] The answer a to the additional question Q31 is acquired as the answer A131. The question screen G41 may also be provided with a button BT41 for confirming the selected answer a and requesting the presentation of the next question.

[0170] The Yes / No determination in step S1113 and the presentation of the additional question Q31 are processes performed to determine, among candidate products with various functions F50 for the daytime napkin AP50, a candidate product with a function F50 that matches the preferences of the user U as a recommendation target. Therefore, these processes are not essential processes in the information processing according to the embodiment. For example, if a candidate product with a new function F50 is newly developed, a Yes / No determination corresponding to the candidate product and an additional question Q31 with content corresponding to the candidate product may be performed. On the other hand, depending on the function F50, a Yes / No determination may not be performed or an additional question Q31 may not be presented. For example, if the function F50 of the candidate product is not divided into variations according to fragrance preferences, these processes may not be performed.

[0171] 11B, while the question screen G41 is being presented to the user U, the receiving unit 131 determines whether or not an answer a to the additional question Q31 has been received from the user U via the question screen G41 (step S1115). The receiving unit 131 may determine whether or not the answer a has been received based on whether or not the button BT41 on the question screen G41 has been pressed. If the answer a has not been received (step S1115; No), the receiving unit 131 waits until the answer a is received.

[0172] On the other hand, if the answer a is accepted (step S1115; Yes), the presenting unit 135 presents the question Q4 to the user U via the question screen G5 (step S1116).

[0173] Furthermore, if the presenting unit 135 determines that the content of the answer a is an answer other than the specific answer (step S1113; No), the additional question Q31 may not be presented, and the process may proceed to step S1116.

[0174] 16 is a diagram showing an example of a question screen G5 according to an embodiment. The question screen G5 displays the question Q4 described in FIG. 4. The question screen G4 may also display, in a selection format, two options for the answer a to the question Q4: "fluffy" and "slim."

[0175] The answer a to the question Q4 is acquired as an answer A14, which is one of the first answers A1 to the question q1 of the first combination. In addition, the question screen G5 may be provided with a button BT5 for confirming the selected answer a and requesting the presentation of the next question.

[0176] 11B, while the question screen G5 is being presented to the user U, the receiving unit 131 determines whether or not an answer a to the question Q4 has been received from the user U via the question screen G5 (step S1117). The receiving unit 131 may determine whether or not the answer a has been received based on whether or not the button BT5 on the question screen G5 has been pressed. If the answer a has not been received (step S1117; No), the receiving unit 131 waits until the answer a is received.

[0177] On the other hand, if the answer a is accepted by the presenting unit 135 (step S1117; Yes), the process proceeds to process B and subsequent steps.

[0178] Next, we move on to the explanation of Fig. 11C. Fig. 11C is a flowchart (3) showing an example of the operation of the server device 100 related to the presentation of a series of question groups QG. Fig. 11C shows an example of the operation executed when proceeding to process C.

[0179] If the answer a is accepted (step S1117; Yes), the presenting unit 135 presents the question Q5 to the user U via the question screen G6 (step S1118).

[0180] 17 is a diagram showing an example of a question screen G6 according to the embodiment. The question screen G6 displays the question Q5 described in FIG. 4. The question screen G6 may also display, in a selectable format, the following as possible answers to the question Q5: "It fits snugly," "I don't like tightness," "I want to be able to turn over in bed without worrying about my period," and "I want to fall asleep quickly and get ready easily."

[0181] The answer a to the question Q5 is acquired as answer A2, which is one of the second answers A2 to the question q2 of the second combination. In addition, the question screen G6 may be provided with a button BT6 for confirming the selected answer a and requesting the presentation of the next question.

[0182] 11C, while the question screen G6 is being presented to the user U, the receiving unit 131 determines whether or not an answer a to the question Q5 has been received from the user U via the question screen G6 (step S1119). The receiving unit 131 may determine whether or not the answer a has been received based on whether or not the button BT6 on the question screen G6 has been pressed. If the answer a has not been received (step S1119; No), the receiving unit 131 waits until the answer a is received.

[0183] On the other hand, if answer a is accepted (step S1119; Yes), the presenting unit 135 determines whether the content of answer a to additional question Q21 presented in step S1109 indicates a type of exercise that requires wearing tight clothing (step S1120). As an example, the presenting unit 135 may determine whether the content of answer a is "swimming" or "ballet / gymnastics."

[0184] If the answer a to the additional question Q21 indicates a type of exercise that requires wearing tight clothing (step S1120; Yes), presentation of the question Q6 is omitted, and the process proceeds to the start of diagnostic processing based on the answers a received up to that point. As a result, the determination unit 133 starts diagnostic processing based on the answers a received up to that point (step S1123). For example, among candidate products for the additional product PD80 that have various functions F80, it may be possible to determine the function F80 that suits the user U's lifestyle based only on the answer a to the additional question Q21, without obtaining the answer a to the question Q6. Therefore, in such cases, presentation of the question Q6 may be omitted. Furthermore, for this reason, whether or not presentation of the question Q6 is omitted depends on the functions F80 of the candidate products.

[0185] On the other hand, if the content of the answer a to the additional question Q21 is an answer indicating an exercise other than the type of exercise that requires wearing tight clothing (step S1120; No), the presentation of the question Q6 is not omitted. Specifically, the presenting unit 135 presents the question Q6 to the user U via the question screen G7 (step S1121).

[0186] 18 is a diagram showing an example of a question screen G7 according to an embodiment. The question screen G7 displays the question Q6 described in FIG. 4. The question screen G6 may also display, in a selectable format, the following answer candidates for question Q6: "I want to take swimming lessons," "I don't want to spend time changing clothes," "I don't want to get my underwear dirty during my period," and "I'm concerned about the stickiness in my private parts."

[0187] The answer a to the question Q6 is acquired as answer A32, which is one of the third answers A3 to the question q3 of the third combination. In addition, the question screen G7 may be provided with a button BT7 for confirming the selected answer a and requesting a napkin diagnosis.

[0188] 11C, while the question screen G7 is being presented to the user U, the receiving unit 131 determines whether or not an answer a to the question Q6 has been received from the user U via the question screen G7 (step S1122). The receiving unit 131 may determine whether or not the answer a has been received based on whether or not the button BT7 on the question screen G7 has been pressed. If the answer a has not been received (step S1122; No), the receiving unit 131 waits until the answer a is received.

[0189] On the other hand, if the answer a is accepted (step S1122; Yes), the determining unit 133 starts a diagnostic process based on the answers a accepted so far (step S1123).

[0190] According to the above example, presentation of question Q6 may be omitted depending on the content of answer a to additional question Q21. For example, among candidate products for additional product PD80 that have various functions F80, it may be possible to determine the function F80 that suits user U's lifestyle based on answer a to additional question Q21 alone, without even obtaining answer a to question Q6. Therefore, in such cases, presentation of question Q6 may be omitted. Furthermore, for this reason, whether or not presentation of question Q6 is omitted depends on the function F80 that the candidate product has.

[0191] Next, when the diagnostic process is started, the presentation unit 135 may present a standby screen G8 (step S1124).

[0192] 19 is a diagram showing an example of a standby screen G8 according to the embodiment. The standby screen G8 may display that a diagnosis is in progress, but the method of notifying that a diagnosis is in progress is not limited to the example in FIG.

[0193] While the standby screen G8 is being displayed, the display unit 135 determines whether the diagnostic process has ended (step S1125). While the diagnostic process has not ended (step S1125; No), the display unit 135 continues to display the standby screen G8.

[0194] On the other hand, when the diagnostic processing is completed (step S1125; Yes), the presentation unit 135 generates a diagnostic result screen G9 on which the diagnostic result is displayed, and presents the generated diagnostic result screen G9 to the user U (step S1126).

[0195] [8. Procedure for determining the recommendation target] Next, an example of the operation of the server device 100 when determining a recommendation target will be described with reference to Figures 20 to 22. Note that the procedure for determining a recommendation target includes not only a method for determining the recommended daytime napkin AP50 and the recommended nighttime napkin AP60, but also a method for determining an additional product PD80 that will be an additional recommendation target, and a method for classifying the type TY70.

[0196] First, Fig. 20 will be described. Fig. 20 is a flowchart (1) illustrating an example of the operation of the server device 100 when determining a recommendation target. The acquisition unit 132 acquires an answer a to a series of questions QG consisting of questions Q1 to Q6 (step S2001).

[0197] The acquiring unit 132 acquires the first answer A1 (answers A11, A12, A13, and A14) to the first combination of questions q1 (questions Q1, Q2, Q3, and Q4) from the answers a (step S2002).

[0198] Furthermore, the acquiring unit 132 acquires a second answer A2 to the question q2 (question Q5) in the second combination from among the answers a (step S2003).

[0199] Furthermore, the acquiring unit 132 acquires a third answer A3 (answers A31 and A32) to the third combination of question q3 (questions Q2 and Q6) from among the answers a (step S2004). As described above, presentation of question Q6 may be omitted, and in such a case, the acquiring unit 132 may acquire, for example, "no answer" as answer A32.

[0200] Furthermore, the acquiring unit 132 acquires an answer A311 to the additional question Q21 and an answer A131 to the additional question Q31 (step S2005). As described above, depending on the content of the answer a to question Q2, the additional question Q21 may not be presented, and in such cases, the acquiring unit 132 may acquire, for example, "no answer" as the answer A311. Similarly, depending on the content of the answer a to question Q3, the additional question Q31 may not be presented, and in such cases, the acquiring unit 132 may acquire, for example, "no answer" as the answer A131.

[0201] In the example of FIG. 20, the acquiring unit 132 acquires answers a to a series of questions QG in order from step S2002 to S2005, but the order of acquisition is not limited thereto.

[0202] Next, Fig. 21 will be described. Fig. 21 is a flowchart (2) illustrating an example of the operation of the server device 100 when determining a recommendation target. Fig. 21 shows the processing procedure when determining a daytime napkin AP50 to be recommended.

[0203] The determination unit 133 determines whether the answer A11 to question Q1 is a specific answer (e.g., "busy") among the first answers A1 (answers A11, A12, A13, and A14) to the question q1 of the first combination (questions Q1, Q2, Q3, and Q4) (step S2101).

[0204] If the answer A11 to the question Q1 is a specific answer (step S2101; Yes), the determination unit 133 determines the daytime napkin AP50 to be recommended based on the answer set of the answer A11 to the question Q1 and the answer A14 to the question Q4 among the first answers A1 (step S2102a). For example, the determination unit 133 compares this "answer set" with the "answer set" in the database 121 to determine the daytime napkin AP50 to be recommended from among the candidate daytime napkins AP51 to AP56.

[0205] On the other hand, if the answer A11 to question Q1 is an answer other than the specific answer (step S2101; No), the determination unit 133 determines the daytime napkin AP50 to be recommended based on the answers A11, A12, A13, and A14 to questions Q1, Q2, Q3, and Q4, respectively, of the first answer A1 (step S2102b). For example, if the answer A131 to additional question Q31 has also been acquired, the determination unit 133 determines the daytime napkin AP50 to be recommended based on an answer set that combines the answers A11, A12, A13, and A14 with the answer A131. For example, the determination unit 133 compares this "answer set" with the "answer set" in the database 121 to determine the daytime napkin AP50 to be recommended from among the candidate daytime napkins AP51 to AP56.

[0206] The determining unit 133 classifies the user U into one of a plurality of types TY70 according to lifestyle habits based on the answer a to the question about lifestyle habits among the first combination of questions q1 (questions Q1, Q2, Q3, and Q4) (step S2103). For example, the classifying unit 134 classifies the user U into one of a plurality of types TY70 according to lifestyle habits based on an answer set of answer A11 to question Q1 and answer A12 to question Q2. For example, the classifying unit 134 compares the "answer set" of answer A11 to question Q1 and answer A14 to question Q4 with the "answer set" in the database 121, and selects the type TY70 to classify the user U into from the candidate types TY71 to TY76.

[0207] The presentation unit 135 generates a diagnosis result screen G9 including, as recommendation information, information on the recommended daytime napkin AP50 (step S2104). More specifically, the presentation unit 135 generates a diagnosis result screen G9 including, as recommendation information, information on the recommended daytime napkin AP50 and information on the type TY70 into which the user U is classified.

[0208] Next, Fig. 22 will be described. Fig. 22 is a flowchart (3) illustrating an example of the operation of the server device 100 when determining a recommendation target. Fig. 22 shows the processing procedure when determining a nighttime napkin AP60 to be recommended.

[0209] The determination unit 133 determines the recommended nighttime napkin AP60 based on the second answer A2 (step S2201). For example, the determination unit 133 compares the "answer set" of the answer A2 with the "answer set" in the database 121 to determine the recommended nighttime napkin AP60 from among the candidate nighttime napkins AP61 to AP62.

[0210] The presentation unit 135 generates a diagnosis result screen G9 including information on the recommended nighttime napkin AP60 as recommendation information (step S2202).

[0211] Next, Fig. 23 will be described. Fig. 23 is a flowchart (4) illustrating an example of the operation of the server device 100 when determining a recommendation target. Fig. 23 shows the processing procedure when determining an additional product PD80 to be recommended.

[0212] The determining unit 133 determines whether or not answer A32 has been acquired from the third answer A3 (answers A31 and A32) to question q3 of the third combination (questions Q2 and Q6) by the acquiring unit 132 (step S2301). That is, the determining unit 133 determines whether or not answer A32 having valid content to question Q2 has been acquired as answer A32, rather than "no answer."

[0213] If the answer A32 has been acquired (step S2301; Yes), the determination unit 133 determines the additional product PD80 to be recommended based on the answer set of the answer A31 to question Q2 and the answer A32 to question Q6 (step S2302a). For example, the determination unit 133 determines the additional product PD80 to be recommended from among the candidate additional products PD81 to PD84 by comparing the "answer set" obtained by further combining the answer A311 to the additional question Q21 acquired depending on whether the answer is in the high exercise frequency category with the "answer set" in the database 123.

[0214] On the other hand, if the answer A32 has not been acquired (step S2301; No), the determination unit 133 determines the additional product PD80 to be recommended based on an answer set that combines the answer A31 to the question Q2 with the answer A311 to the additional question Q21 (step S2302b). For example, the determination unit 133 compares this "answer set" with the "answer set" in the database 123 to determine the additional product PD80 to be recommended from among the candidate additional products PD81 to PD84.

[0215] The presentation unit 135 generates a diagnosis result screen G9 including information on the additional product PD80 to be recommended as additional recommendation information (step S2303).

[0216] Here, the diagnosis result screen G9 will be described with reference to FIG. 24. FIG. 24 is a diagram showing an example of the diagnosis result screen G9 according to the embodiment. According to the example of FIG. 24, the diagnosis result screen G9 displays an icon IC70 that reads "Your Type," an icon IC50 that reads "Daytime Recommendations," an icon IC60 that reads "Nighttime Recommendations," and an icon IC80 that reads "Items to Address Your Concerns." In addition, the diagnosis result screen G9 is provided with a display area AR. Note that the icon IC80 may also read "Other Recommendations."

[0217] Icon IC70 includes a request to call up information about type TY70, which was classified in step S2103 of Fig. 21, and when icon IC70 is pressed, screen G91 including information about type TY70 is displayed in display area AR. Screen G91 may include the name of type TY70 into which user U was classified and text TX70 that provides a detailed explanation of the specific content of type TY70 into which user U was classified.

[0218] 21, and when icon IC50 is pressed, a screen G92 including information about the recommended daytime napkin AP50 is displayed in the display area AR. The screen G92 may include the name of the recommended daytime napkin AP50 and text TX50 that provides a detailed explanation of the specific contents of the recommended daytime napkin AP50.

[0219] 22, and when icon IC60 is pressed, a screen G93 including information on the recommended nighttime napkin AP 60 is displayed in the display area AR. The screen G93 may include the name of the recommended nighttime napkin AP 60 and text TX60 that provides a detailed explanation of the specific contents of the recommended nighttime napkin AP 60.

[0220] Icon IC80 includes a request to call up information about the additional product PD80 to be recommended that was determined in step S2302a or S2302b of Fig. 23, and when icon IC80 is pressed, a screen G94 including information about the additional product PD80 to be recommended is displayed in the display area AR. Screen G94 may include the name of the additional product PD80 to be recommended and text TX80 that provides detailed explanations of the specific content of the additional product PD80 to be recommended.

[0221] 9. Other Embodiments So far, an example of information processing according to the embodiment has been described. However, the information processing performed by the server device 100 is not limited to the above embodiment. Therefore, other embodiments performed by the server device 100 will be described below.

[0222] For example, the presentation unit 135 may further present characteristic information indicating the characteristics of a napkin suitable for the user U, which is determined based on the user U's answer a to any of the questions Q1 to Q6 included in the series of questions QG.

[0223] Specifically, the calculation unit 136 calculates an evaluation index for each evaluation item corresponding to one of the questions Q1 to Q6 based on the user's answer a to one of the questions Q1 to Q6 included in the series of questions QG. Then, the presentation unit 135 may generate a radar chart RC using the evaluation index for each evaluation item and present the generated radar chart RC as feature information. As an example, the presentation unit 135 may present a screen G10 on which the radar chart RC is displayed.

[0224] Here, a screen G10 showing characteristic information will be described with reference to Fig. 25. Fig. 25 is a diagram showing an example of the screen G10 including a radar chart RC according to the embodiment. According to the example of Fig. 25, four items, namely, "number of days exercised," "number of times (of sanitary napkins) changed," "number of (sanitary napkins) carried," and "attention to design (of sanitary napkins)," are shown as examples of evaluation items corresponding to any of the questions Q1 to Q6. Note that the content and number of evaluation items are not limited to the example of Fig. 25.

[0225] For example, "number of days to exercise" is an evaluation item corresponding to question Q2 described in FIG. 4, and the calculation unit 136 calculates the evaluation index N1 based on the answer a to question Q2. The evaluation index N1 is an index value indicating how suitable the daytime napkin AP50 is for the "number of days to exercise." For example, the higher the evaluation index N1, the more frequently the user U exercises, suggesting that a daytime napkin AP50 with characteristics such as "resistance to slippage" or "stretchability" is suitable for the user U.

[0226] "Number of times (of sanitary napkin) replacement" is an evaluation item corresponding to question Q1 described in FIG. 4, and the calculation unit 136 calculates the evaluation index N2 based on the answer a to question Q1. The evaluation index N1 is an index value indicating how suitable a daytime sanitary napkin AP50 is for the "number of times (of sanitary napkin) replacement." For example, the higher the evaluation index N2, the more frequently the user U changes their sanitary napkins, suggesting that a daytime sanitary napkin AP50 with the characteristic of being "easy to replace" is suitable. In the above embodiment, it was explained that the candidate answer a to question Q1 may be changed. Therefore, depending on the content of the change, "number of times of replacement" may be changed to "how to spend your period."

[0227] "Number of napkins to carry" is an evaluation item corresponding to question Q4 described in FIG. 4, and the calculation unit 136 calculates the evaluation index N3 based on the answer a to question Q4. The evaluation index N3 is an index value indicating how suitable the daytime napkin AP50 is for the "number of napkins to carry." For example, the higher the evaluation index N3, the more napkins the user U carries, suggesting that a "slim" daytime napkin AP50 is suitable. In the above embodiment, it was explained that the candidate answer a to question Q4 may be changed. Therefore, depending on the content of the change, "number of napkins to carry" may be changed to "pouch size."

[0228] "Attention to design (for napkins)" is an evaluation item corresponding to question Q3 explained in FIG. 4, and the calculation unit 136 calculates the evaluation index N4 based on the answer a to question Q3. The evaluation index N4 is an index value indicating how suitable the daytime napkin AP50 is for meeting the "attention to design (for napkins)." For example, the higher the evaluation index N4, the stronger the design preference of the user U is, suggesting that a daytime napkin AP50 with the characteristic of "having a wide variety of designs" is suitable for the user.

[0229] [10. Hardware Configuration] Furthermore, the server device 100 according to the above-described embodiment (information processing device according to the embodiment) is realized by, for example, a computer 1000 configured as shown in Fig. 26. Fig. 26 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and is connected to a calculation device 1030, a cache 1040, a memory 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 via a bus 1090.

[0230] The arithmetic device 1030 operates based on programs stored in the cache 1040 or memory 1050, programs read from the input device 1020, etc., and executes various processes. The cache 1040 is a cache such as a RAM that temporarily stores data used by the arithmetic device 1030 for various calculations. The memory 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is a memory realized by a ROM (Read Only Memory), an HDD (Hard Disk Drive), a flash memory, etc.

[0231] The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a monitor or a printer, and may be realized by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (High Definition Multimedia Interface), etc. On the other hand, the input IF 1070 is an interface for receiving information from various input devices 1020, such as a mouse, keyboard, scanner, etc., and may be realized by a USB, etc.

[0232] For example, the input device 1020 may be realized by a device that reads information from an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory, etc. The input device 1020 may also be realized by an external storage medium such as a USB memory.

[0233] The network IF 1080 has a function of receiving data from other devices via the network N and sending it to the arithmetic device 1030, and also a function of transmitting data generated by the arithmetic device 1030 to other devices via the network N.

[0234] Here, the arithmetic device 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic device 1030 loads a program from the input device 1020 or the memory 1050 onto the cache 1040 and executes the loaded program. For example, when the computer 1000 functions as the server device 100, the arithmetic device 1030 of the computer 1000 executes the program loaded onto the cache 1040 to realize the function of the control unit 130.

[0235] [11. Other] Furthermore, among the processes described in each of the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

[0236] Furthermore, the components of each device shown in the figure are conceptual functional components and do not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

[0237] Furthermore, the above-described embodiments can be combined as appropriate within the scope of not causing any contradiction in the processing content.

[0238] Although some of the embodiments of the present application have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be implemented in other forms that include the aspects described in the "present invention" section and that have been modified and improved in various ways based on the knowledge of those skilled in the art. [Explanation of symbols]

[0239] 1. Information Processing Systems 10 User equipment 100 Server device 110 Communications Department 120 databases 121 databases 122 databases 123 databases 130 Control Unit 131 Reception 132 Acquisition Department 133 Decision Section 134 Classification Department 135 Reminder Department 136 Calculation Department

Claims

1. an acquisition unit that acquires answers from the user to a series of questions including at least questions about lifestyle habits; a presentation unit that presents to the user, as recommendation information, a daytime absorbent article determined based on a first answer of the answers and a nighttime absorbent article determined based on a second answer of the answers; An information processing device comprising:

2. the series of questions includes a first combination of questions and a second combination of questions different from the first combination; the acquiring unit acquires, as the user's answers to the series of questions, the first answer to the first combination of questions and the second answer to the second combination of questions; the presenting unit presents a daytime absorbent article determined based on a predetermined answer from the first answers and a nighttime absorbent article determined based on a predetermined answer from the second answers. The information processing device according to claim 1 .

3. a determination unit that determines a daytime absorbent article to be presented based on a predetermined answer from the first answers, and determines a nighttime absorbent article to be presented based on a predetermined answer from the second answers, Further preparation, the determination unit determines, as the presentation target, a daytime absorbent article having a function corresponding to a predetermined answer from among the first answers, and determines, as the presentation target, a nighttime absorbent article having a function corresponding to a predetermined answer from among the second answers. The information processing device according to claim 2 .

4. a classification unit that classifies the user into one of a plurality of types according to the lifestyle habits based on the user's answers to the questions about the lifestyle habits among the questions included in the series of questions; Further preparation, the presentation unit presents information of the type into which the user is classified together with the recommendation information. The information processing device according to claim 1 .

5. the acquiring unit further acquires a third answer that is an answer from the user to a question in a third combination different from the first combination and the second combination in the series of questions; the presentation unit presents the nonwoven fabric product determined based on the third response to the user as additional recommendation information. The information processing device according to claim 2 .

6. the third set of questions includes a question about exercise frequency and a question about menstrual concerns, the presentation unit controls presentation of questions regarding menstrual worries to the user in accordance with the user's answers to the questions regarding exercise frequency. Further preparations The information processing device according to claim 5 .

7. the presentation unit further presents characteristic information indicating characteristics of an absorbent article suitable for the user, determined based on the user's answers to questions included in the series of questions. The information processing device according to claim 1 .

8. the presentation unit calculates an evaluation index for each evaluation item according to the question based on the user's answers, determines the characteristics of the absorbent article suitable for the user based on the evaluation index, and presents a radar chart generated based on the evaluation index as the characteristic information. The information processing device according to claim 7 .

9. The recommendation information includes a detailed description of the daytime absorbent article and a detailed description of the nighttime absorbent article. The information processing device according to claim 1 .

10. The information on the type into which the user is classified includes a classification name of the type and a detailed description of the type. The information processing device according to claim 1 .

11. 1. A computer-implemented information processing method, comprising: an acquisition step of acquiring answers from the user to a series of questions including at least questions about lifestyle habits; a presentation step of presenting to the user, as recommendation information, a daytime absorbent article determined based on a first answer of the answers and a nighttime absorbent article determined based on a second answer of the answers; An information processing method including:

12. an acquisition step of acquiring answers from the user to a series of questions including at least questions about lifestyle habits; a presentation step of presenting to the user, as recommendation information, a daytime absorbent article determined based on a first answer among the answers and a nighttime absorbent article determined based on a second answer among the answers; An information processing program that causes a computer to execute the above.

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