JP6453506B1 - Information processing apparatus, information processing method, and information processing program - Google Patents

Abstract

To provide information regarding a disease appropriately to a user. An information processing apparatus according to the present application includes an acquisition unit and a notification unit. The acquisition unit acquires the behavior information of a conscious user, who is a user estimated to be aware that there is a symptom related to injury or illness based on behavior information indicating behavior on the network. The notification unit notifies the target user, who is a user having behavior information related to the behavior information acquired by the acquisition unit, of predetermined information based on symptoms. [Selection] Figure 4

Description

  Embodiments described herein relate generally to an information processing apparatus, an information processing method, and an information processing program.

  In recent years, with the development of networks represented by the Internet, various services have been provided to users.

  For example, Patent Literature 1 discloses a technique for executing support contents corresponding to user preferences automatically determined based on user information by a method according to a preference level.

Japanese Patent Laying-Open No. 2015-043148

  However, in the above-described conventional technology, information regarding a disease cannot always be appropriately provided to the user. For example, in the above-described conventional technology, user information is acquired, the user's preference is determined based on the acquired user information, and the support content for supporting the determined preference is determined. Then, the determined support content is executed. For example, the above-described conventional technology executes support contents such as advertising display of information on products or services corresponding to user preferences.

  In such a conventional technique, for example, even if information suitable for the user's preference can be provided, it is not always possible to appropriately provide information regarding the disease to the user.

  The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus that can appropriately provide information on a disease to a user.

  The information processing apparatus according to the present application acquires the behavior information of a aware user who is a user estimated to be aware of a symptom related to a disease based on behavior information indicating behavior on a network; It has a notification part which notifies predetermined information based on the symptom to a target user who is a user who has action information relevant to action information acquired by an acquisition part.

  According to one aspect of the embodiment, there is an effect that information regarding a disease can be appropriately provided to the user.

FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. FIG. 2 is a diagram illustrating an example of information notification performed in the information processing according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of the information processing system according to the embodiment. FIG. 4 is a diagram illustrating a configuration example of the information processing apparatus according to the embodiment. FIG. 5 is a diagram illustrating an example of the behavior information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a disease information storage unit according to the embodiment. FIG. 7 is a diagram illustrating an example of the trend information storage unit according to the embodiment. FIG. 8 is a diagram illustrating an example of a content information storage unit according to the embodiment. FIG. 9 is a flowchart illustrating a processing procedure according to an analysis process performed by the information processing apparatus according to the embodiment. FIG. 10 is a flowchart illustrating a processing procedure according to notification processing by the information processing apparatus according to the embodiment. FIG. 11 is a diagram illustrating an example of information notification according to the modification. FIG. 12 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus.

  Hereinafter, an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as “embodiment”) will be described with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited by this embodiment. Moreover, in the following embodiment, the same code | symbol is attached | subjected to the same site | part and the overlapping description is abbreviate | omitted.

[1. Information processing)
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. Information processing according to the embodiment is performed by the information processing apparatus 100 illustrated in FIG. 1.

  In addition, the information processing system 1 according to the embodiment includes a terminal device 10 and an information processing device 100 as illustrated in FIG. 1. The terminal device 10 and the information processing device 100 are connected to be communicable by wire or wireless via a network. Note that the information processing system 1 illustrated in FIG. 1 may include a plurality of terminal devices 10 and a plurality of information processing devices 100. As will be described later, the information processing system 1 also includes an external server 60.

  The terminal device 10 is a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. For example, the terminal device 10 displays the information received from the information processing device 100 on the screen or outputs the sound.

  Here, the premise of this embodiment is demonstrated. For example, a specific purchase is determined based on the relationship between a user's purchase behavior on the network (for example, a behavior such as buying a product as a site) and a search behavior (for example, a behavior such as searching for information using a certain search keyword). There is a data analysis technique (also referred to as “quality extended search”) in which a user who is not taking action searches for what kind of purchase action is taken.

  “Quality expansion search” will be described in more detail using an example. For example, a user who performs purchasing behavior such as “buy liquor” tends to search for information using the search keyword “beer”, and a relationship is found between purchasing behavior and search behavior. . In such a case, if an unknown subject among the subjects whose purchase behavior is unknown performs an information search using the search keyword “beer”, this unknown subject may also “buy sake”. Predict that there is. In this way, the “quality-enhanced search” is, for example, a user who is predicted to take a certain action from a group of users using a plurality of types of information (in this example, there is a possibility of “buying alcohol”). Who is effectively sought after.

  Information processing performed by the information processing apparatus 100 according to the embodiment pays attention to such “quality extended search” and effectively gives the user “awareness” to the disease. For example, among diseases, there is a disease called a rare disease with a very low morbidity such as one in hundreds of thousands of people. Many rare diseases are hereditary and include rare types of infectious diseases, rare types of immune diseases, and rare types of cancer.

  Even if you are afflicted with a rare disease, there may be cases where obvious symptoms do not appear immediately, so the affected person may not even be able to recognize that it is a rare disease unless they are aware that they are afflicted with a rare disease. Many. The information processing according to the embodiment uses the concept of quality extension search as described above to make the user effectively recognize the possibility of suffering from various diseases including such rare diseases, and aim for treatment. It is a process for making it.

  Specifically, the information processing apparatus 100 according to the embodiment acquires the behavior information of a conscious user who is estimated to be aware that there is a symptom related to injury or illness based on behavior information indicating behavior on the network. And the predetermined information based on a symptom is notified with respect to the object user who is a user who has the action information relevant to the acquired action information. That is, it is conceivable that a user who has some symptoms of injury or illness, for example, takes action to improve symptoms regardless of whether or not a disease caused by the symptoms has been identified.

  To give a simple example, a user who is addicted to alcohol and who is aware of the symptoms may tend to purchase medicines to improve the symptoms, but can turn off their favorite alcohol. It can be said that there is also a tendency to purchase beer and sake. In addition, although there is a possibility of having alcoholism, there are users who are not aware of the symptoms and frequently purchase alcoholic beverages. Even a user who is not aware of such symptoms may be worried that he / she is alcohol-dependent somewhere and try to purchase a medicine that matches it. In this embodiment, the symptom related to injury or illness is a symptom due to an endogenous disease, but may be a symptom due to a fracture or trauma, for example.

  If the user who is not aware of the symptom is performing a behavior similar to that of the user who is symptomatically complaining (in the above example, the information processing apparatus 100 is suitable for alcoholism in which alcohol is purchased. Providing information that predicts that a user who is not aware of symptoms is alcoholic and that the person is aware of the possibility of alcoholism. Hereinafter, the information processing according to the embodiment will be described using an example.

  First, the information processing apparatus 100 acquires behavior information indicating each user's behavior on the Internet (step S1). The user whose behavior information is acquired is, for example, a user who can log in to the information processing apparatus 100 directly or indirectly (a login ID is issued). In addition, the user whose behavior information is acquired is, for example, a user who has registered as a member for the business owner who manages the information processing apparatus 100 (referred to as “business owner Z”).

  In addition, the behavior information indicating the behavior of the user on the Internet is, for example, search information that is information related to search behavior (for example, information retrieval using the search keyword XX), purchase behavior (for example, a predetermined shopping site) Purchase information that is information related to purchasing OO) or browsing information that is information related to browsing behavior (for example, browsing a sports information site XX). Therefore, the search information can be restated as a search history, the purchase information as a purchase history, and the browsing information as a browsing history.

  For example, the information processing apparatus 100 can acquire search information from a server apparatus that corresponds to the external server 60 and that provides a search service. Further, the information processing apparatus 100 can acquire purchase information from a server apparatus corresponding to the external server 60 and providing a shopping service. In addition, the information processing apparatus 100 can acquire browsing information from a server apparatus that corresponds to the external server 60 and that provides a portal site including various article contents and the like. In addition, the information processing apparatus 100 stores the acquired behavior information in the behavior information storage unit 121.

  Next, the information processing apparatus 100 estimates whether or not each user who has acquired the behavior information is aware that there is a symptom related to some illness (disease), and recognizes that the user is the estimated user. A user is extracted (step S2). Specifically, the information processing apparatus 100 estimates whether or not there is a symptom related to a disease for each user based on the acquired behavior information. For example, the information processing apparatus 100 estimates whether or not it is aware of behavior information indicating a predetermined behavior on the Internet. For example, the information processing apparatus 100 estimates that a user who has performed an action such as “search for symptoms” is aware of the presence of symptoms. “Searching for symptoms” means, for example, searching for information using a symptom “high blood pressure” as a search keyword. This is an estimation based on the viewpoint that a user who is aware of a symptom tends to search the Internet because he / she is aware of the symptom and wants to know the symptom in detail.

  Moreover, it is considered that the user has not yet identified the disease caused by the symptom simply by searching for the symptom. Therefore, the information processing apparatus 100 estimates that the user who has performed the action “search for symptoms” is aware of the symptoms and recognizes the disease name and the like as to what the disease is. Predicted not to be unrecognized (unrecognized user). On the other hand, in addition to searching for symptoms, it is considered that a user who actually searches for information using a disease name as a search keyword uses the disease name as a search keyword because the disease has been specified. Therefore, the information processing apparatus 100 estimates that the user who has performed an action such as “searches for information using a disease name as a search keyword” is aware of a symptom, and determines what the disease is. Predict that it is recognized (cognitive user).

  In the present embodiment, the expression “whether or not he / she is aware that there is a symptom related to a disease” may include the concept “whether or not he / she is aware of the onset of a disease”.

  In the example of FIG. 1, the information processing apparatus 100 assumes that there are users U11, U12, and U13 (users U11 to U13) as users searching for symptoms Sy1 among the users based on the behavior information. It is estimated that the user U11 to U13 are aware of the presence of the symptom Sy1, and the disease caused by the symptom Sy1 is estimated as an unrecognized user who is not recognized. In this example, a conceptual expression such as symptom Sy1 is used to simplify the explanation, but in actuality, it is a specific symptom such as “high blood pressure, intense palpitation” or the like. Hereinafter, the users U11 to U13 are referred to as conscious users U11 to U13.

  Further, the information processing apparatus 100 predicts a disease caused by the symptom Sy1 based on the symptom Sy1 corresponding to the users U11 to U13 (step S3). Although not shown in FIG. 1, for example, the information processing apparatus 100 includes a disease information storage unit 122 that stores a symptom and a disease caused by the symptom in association with each other. The information processing apparatus 100 refers to the patient information storage unit 122 and predicts a disease caused by the symptom Sy1.

  Next, the information processing apparatus 100 acquires purchase information as behavior information corresponding to the conscious users U11 to U13, and analyzes the correlation between the acquired behavior information and the symptom Sy1 of the conscious users U11 to U13 ( Correlation analysis) (step S4). For example, the information processing apparatus 100 acquires purchase information corresponding to the conscious users U11 to U13 from the behavior information storage unit 121. As another example, if the information processing apparatus 100 estimates that the users U14 and U15 are aware of the symptom Sy2, the information processing apparatus 100 acquires and acquires the purchase information of the aware users U14 and U15. The correlation between the action information and the symptom Sy2 of the conscious users U14 and U15 is analyzed. That is, the information processing apparatus 100 analyzes the correlation between the behavior information and the symptom for each combination of the symptom and the user's behavior information estimated to be aware of the symptom. The correlation is a relationship based on a tendency.

  Note that the information processing apparatus 100 may analyze the correlation between the behavior information and the disease predicted from the symptoms.

  Here, the behavior information storage unit 121 will be briefly described. In the example of FIG. 1, the behavior information storage unit 121 stores purchase information (purchase history) as the behavior information for each user on the product name of the product that the user has purchased so far. Therefore, in the example of FIG. 1, the information processing apparatus 100 purchase information indicating that the awareness user U11 has purchased “food PD2-1”, purchase information indicating that “pharmaceutical PD2-2” has been purchased, “supplement” Purchase information indicating that “PD2-3” has been purchased is acquired. A description of the awareness users U12 and U13 is omitted.

  As shown in FIG. 1, when the information processing apparatus 100 is conscious of the presence of the symptom Sy1 by the correlation analysis, the conscious users U11 to U13 tend to purchase the food PD2-1 and the medicine PD2-2. It is assumed that the analysis result of In other words, the information processing apparatus 100 has an action correlated with the symptom Sy1 corresponding to the conscious users U11 to U13 (a relationship based on a tendency) “purchase food PD2-1” and “purchase pharmaceutical PD2-2”. It is assumed that the analysis result is “to do”. Moreover, this analysis result shows that “purchasing food PD2-1” and “purchasing pharmaceutical product PD2-2” are correlated with symptom Sy1. Here, this correlation is expressed as “correlation T”.

  Since the information processing apparatus 100 estimates in step S2 whether or not each user is aware that there is a symptom, which user may be an unconscious user who is a user who is not aware of a symptom related to a disease. Estimated. Therefore, the information processing apparatus 100 acquires purchase information from the behavior information storage unit 121 as behavior information corresponding to an unconscious user. The information processing apparatus 100 is a user having behavior information related to (for example, the same or similar to) behavior information corresponding to the correlation T among unconscious users based on purchase information corresponding to unconscious users. A target user is specified (step S5). In this example, the behavior information corresponding to the correlation T is behavior information indicating “purchasing food PD2-1” and behavior information indicating “purchasing pharmaceutical product PD2-2”.

  In the example of the behavior information storage unit 121 illustrated in FIG. 1, among the unconscious users, the user U52 indicates behavior information indicating “purchasing food PD2-1” and “purchasing medicine PD2-2”. Has behavior information. For this reason, in this example, the information processing apparatus 100 specifies the user U52 as the target user. Hereinafter, the user U52 is referred to as a target user U52.

  Then, the information processing apparatus 100 notifies the target user U52 of predetermined information based on the symptom (step S6). In the example of FIG. 1, the target user U52 has the same behavior information as the awareness users U11 to U13. From this, it can be said that the target user U52 may suffer from a disease caused by the symptom Sy1 in the future only by not being aware of the symptom Sy1, for example. In addition, the target user U52 may be in a situation where he / she is somewhat aware of the symptom Sy1 but is not so concerned. For this reason, the information processing apparatus 100 determines whether or not the symptom Sy1 appears in the target user U52 or the target user U52 develops a disease caused by the symptom Sy1. Notify predetermined information based on the symptom Sy1 for the purpose of recognizing and taking measures against the symptom and the disease.

  An example of information notification performed by the information processing apparatus 100 will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of information notification performed in the information processing according to the embodiment. As illustrated in FIG. 1, the information processing apparatus 100 notifies the first content, the second content, and the third content in stages. The first content is content in which content information indicating the content of the symptom is displayed and is displayed in a manner such as advertising content (for example, banner advertisement) in a predetermined page. The second content is a content (check site) for allowing the user to input a symptom that is familiar to the user. The third content is content in which information regarding a disease predicted based on input information to the second content is displayed.

  This will be described more specifically. For example, it is assumed that the target user U52 uses the terminal device 10 to access a server device (referred to as a content server) that provides a portal site among the external servers 60 that cooperate with the information processing device 100. In such a case, the content server distributes the portal site P1 to the terminal device 10. Further, assuming that the portal site P1 includes a display frame F1 in which advertising content or the like is displayed, the terminal device 10 that has received the portal site P1 displays the display frame F1 on the information processing device 100. Request content to be done. When the information processing apparatus 100 receives the request, the information processing apparatus 100 generates first content.

  For example, the information processing apparatus 100 has the symptom Sy1 that is a symptom that may appear in the target user U52 / or a symptom that has already appeared but is not concerned (a symptom that is presumed to be unconscious). The content C1 (an example of the first content) is generated so that the content information indicating the content is displayed. Note that the information processing apparatus 100 may generate the content C1 such that the content information indicating the content of a typical symptom of a disease predicted from the symptom Sy1 is displayed instead of the symptom Sy1. Then, the information processing apparatus 100 distributes the generated content C1 to the terminal device 10. Thereby, the terminal device 10 displays the portal site P1 so that the content C1 including the content information is displayed in the display frame F1, as illustrated in FIG.

  Note that the information processing apparatus 100 does not display the disease name of the disease related to the symptom Sy1 in the content C1. For example, when the disease related to the symptom Sy1 is the disease sickA, the information processing apparatus 100 does not display the word “sickA”. For example, even if the content C1 described as “sickA” is displayed, the target user U52 is not aware of “sickA” at all, or “sickA” is the name of a disease that is first seen. I do not want to select the correct content C1. On the other hand, if the content information indicating the content of the symptom related to the symptom Sy1 is displayed, it is considered that the interest is increased and the possibility of selection is increased. For this reason, the information processing apparatus 100 can increase the appeal of the content C1 by notifying only the content of the symptom and notifying the content C1 in which the disease name cannot be specified by itself. .

  In this state, it is assumed that the target user U52 has selected the content C1. In such a case, the information processing apparatus 100 generates content C2 (an example of the second content) for allowing the target user U52 to input a symptom that is familiar to the user. For example, the information processing apparatus 100 generates content C2 for selecting content information corresponding to a symptom that is familiar from content information indicating the content of a typical symptom of a disease predicted from the symptom Sy1. Then, the information processing apparatus 100 distributes the generated content C2 to the terminal device 10. Thereby, the terminal device 10 displays the content C2 as shown in FIG.

  In such a state, it is assumed that the target user U52 selects content information as shown in FIG. 2B and presses the “Next” button. In such a case, the information processing apparatus 100 finally predicts a disease in which the target user U52 is affected or may be affected based on the input information input (selected) by the target user U52 in the content C2 ( Step S7). For example, it is assumed that the information processing apparatus 100 predicts that the target user U52 may suffer from the disease sickA. Further, it is assumed that the information processing apparatus 100 predicts that symptoms related to the disease sickA will appear in the future.

  As a result of the prediction, the information processing apparatus 100 generates content C3 (an example of third content) that displays information related to the disease sickA. For example, the information processing apparatus 100 generates the content C3 that displays the suggestion information for suggesting to visit the specialized medical institution of the disease sickA together with the disease name, that is, the disease sickA. Then, the information processing apparatus 100 distributes the generated content C3 to the terminal device 10. Thereby, the terminal device 10 displays the content C3 as shown in FIG. In this example, a conceptual expression such as symptom sickA is used to simplify the explanation, but it is actually a specific disease name such as “alcoholism”.

  As described above with reference to FIG. 1, the information processing apparatus 100 according to the embodiment is a user estimated to be aware of a symptom related to a disease based on behavior information indicating behavior on the network. The behavior information of a certain conscious user is acquired, and predetermined information based on the symptom is notified to the target user who is the user having the behavior information related to the acquired behavior information.

  Thereby, the information processing apparatus 100 according to the embodiment can appropriately provide information regarding the disease to the user. Specifically, the information processing apparatus 100 can accurately identify a user who is not aware of the symptoms and is not aware of the onset of the disease, or a user who is likely to develop the disease. Can effectively recognize the possibility of the disease. As a result, the information processing apparatus 100 can contribute to the user's comfortable daily life because it can contribute to early detection of a disease, for example.

[2. System configuration
Next, the configuration of the information processing system according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the information processing system 1 according to the embodiment. As illustrated in FIG. 3, the information processing system 1 includes a terminal device 10, an external server 60, and an information processing device 100. The terminal device 10, the external server 60, and the information processing device 100 are connected via a network N so as to be communicable by wire or wirelessly.

  The external server 60 is a server device that is a source of various behavior information. For example, the external server 60 is a shopping server that provides an EC (Electronic Commerce) site such as a shopping site or an electronic mall. The shopping server stores purchase information (an example of behavior information) that is information related to purchases performed by the user.

  For example, the external server 60 is a search server that provides a search service. The search server stores search behavior (an example of behavior information) that is information related to a search performed by a user using a search keyword.

  For example, the external server 60 is a content server that distributes web pages including advertisement content and article content. The content server stores advertisement browsing information (an example of behavior information), which is information related to browsing behavior when a user browses advertisement content. In addition, the content server stores article browsing information (an example of behavior information) that is information related to browsing behavior when the user browses article content.

  Further, for example, the external server 60 can also accumulate action information indicated by the contents answered in response to a predetermined questionnaire.

[3. Configuration of information processing apparatus]
Next, the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 4 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As illustrated in FIG. 4, the information processing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(About the communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card). The communication unit 110 is connected to the network N in a wired or wireless manner, and transmits and receives information between the terminal device 10 and the external server 60, for example.

(About the storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 includes a behavior information storage unit 121, a disease information storage unit 122, a trend information storage unit 123, and a content information storage unit 124.

(Behavior information storage unit 121)
The behavior information storage unit 121 stores behavior information indicating a user's behavior on the network. For example, the behavior information storage unit 121 stores, as behavior information, purchase information that is information related to the user's purchase behavior, search information that is information related to the user's search behavior, and browse information that is information related to the user's browsing behavior. The behavior information storage unit 121 may also store behavior information indicated by a response result to the questionnaire.

  The inside of the behavior information storage unit 121 is divided into a purchase information storage unit 121-1 for storing purchase information, a search information storage unit 121-2 for storing search information, a browse information storage unit 121-3 for storing browsing information, and the like. It is done. Here, FIG. 5 shows an example of the behavior information storage unit 121 according to the embodiment. In this example, the purchase information storage unit 121-1 is shown as an example. The purchase information storage unit 121-1 stores, as purchase information, a purchase behavior history (purchase history) such as what the user purchased and when. Here, an example of the behavior information storage unit 121 according to the embodiment is shown. In the example of FIG. 5, the purchase information storage unit 121-1 includes items such as “user type”, “classification related to disease”, “user ID”, “purchased product”, and “purchase date / time”.

  “User type” indicates a category such as what type of user the user is classified into. In the present embodiment, the user is estimated to be “aware user” who is presumed to be aware of a symptom related to a disease based on behavior information indicating behavior on the network, and not to be aware of it. It is roughly divided into “unconscious users”. In addition, the “aware user” is a “non-recognized user” who is estimated not to recognize the disease corresponding to the symptom (for example, the disease name), or the disease corresponding to the symptom. Or (for example, a disease name), it is classified as one of the “cognitive users” estimated to be recognized.

  The process of estimating the classification for each user is performed by the estimation unit 132 described later. For example, the estimation unit 132 estimates whether the user is the “aware user” or the “unconscious user” based on the user's behavior information for each user whose behavior information is acquired. Further, the estimation unit 132 estimates for each “aware user” whether the user is a “cognitive user” or a “unrecognized user” based on the behavior information of the user.

  “Category related to disease” indicates a symptom or disease corresponding to the user. For example, among “aware users”, “unrecognized users” who are aware of symptoms but are estimated to be unaware until disease are associated with information indicating the symptom they are aware of as “category related to disease”. It is done. In the example of FIG. 5, in accordance with the description in FIG. 1, information indicating the symptom Sy <b> 1 is associated with the awareness users U <b> 11, U <b> 12, U <b> 13 as “classification related to disease”.

  Also, for example, among “aware users” who are aware of symptoms and who are estimated to have recognized the disease corresponding to the symptoms, the recognized symptoms are “classification related to the disease”. Are associated with each other. At this time, symptoms may be associated with each other. For example, if the conscious user U21 is also a “recognition user” and recognizes the disease sickA, the disease sickA is associated with the “classification regarding the disease”.

  “User ID” indicates identification information for identifying “aware user” and “unconscious user”. As described above, in this embodiment, for example, the expression “user U11” means that the user is associated with the user ID “U11”. “Purchased product” indicates a product purchased by the user indicated by the corresponding user ID. “Purchase date / time” indicates the date / time when the “purchased product” was purchased by the user indicated by the corresponding user ID.

  That is, in the example of FIG. 5, the aware user U11 who is presumed not to recognize a disease caused by symptoms performed purchase behavior such as “buy food PD2-1” on “January 10, 2018”. An example is shown.

  Note that the search information storage unit 121-2 and the browsing information storage unit 121-3 have the same storage information configuration, and thus detailed description thereof is omitted. For example, the search information storage unit 121-2 stores the search keyword and the date and time when the search keyword is input for each user in association with each other. Also, the browsing information storage unit 121-3 stores identification information for identifying the content browsed for each user and the date and time of browsing in association with each other.

(Disease information storage unit 122)
The disease information storage unit 122 stores a symptom and a disease (disease name) caused by the symptom in association with each other. Here, FIG. 6 shows an example of the disease information storage unit 122 according to the embodiment. In the example of FIG. 6, the disease information storage unit 122 includes items such as “symptom” and “disease name”.

  “Symptom” is content information indicating the contents of various symptoms related to the disease. In the example of FIG. 6, conceptual expression such as symptom Sy1 is used, but in actuality, it is a specific symptom such as “high blood pressure, severe palpitation” or the like. “Disease name” indicates the disease name of the disease caused by the corresponding “symptom”. That is, the example of FIG. 6 shows an example in which the disease caused by the symptom Sy1 is the disease sickA.

(Trend information storage unit 123)
The trend information storage unit 123 stores a combination of behavior information and a symptom (content information indicating the content of the symptom) obtained as an analysis result indicating that they are correlated with each other. Here, FIG. 7 shows an example of the trend information storage unit 123 according to the embodiment. In the example of FIG. 7, the trend information storage unit 122 includes items such as “symptom” and “behavior tendency”.

  “Symptom” is content information indicating the content of a symptom from which an analysis result indicating that there is a correlation. The “behavior tendency” indicates behavior information correlated with the corresponding “symptom”. That is, in the example of FIG. 7, the user who is presumed to be aware of the symptom Sy <b> 1 is “buy food PD <b> 2 </ b>”, “buy drug PD <b> 2 </ b>”, “sickA information. Indicates a tendency to “search”. In other words, behavioral information indicating behaviors such as “purchase food PD2-1”, “purchase drug PD2-2”, “search for information about sickA” and symptom Sy1 are correlated. .

(Content information storage unit 124)
The content information storage unit 124 is a storage unit that stores content (specifically, content data) to be notified to the user according to symptoms corresponding to the user. Here, FIG. 8 shows an example of the content information storage unit 124 according to the embodiment. In the example of FIG. 8, the content information storage unit 124 includes items such as “symptom” and “content information”. Note that “C1” included in “content information” indicates content data that is an example of the first content, “C2” indicates content data that is an example of the second content, and “C3” is an example of the third content. Content data that is

  “Symptom” is content information indicating the symptom of the user who is estimated to be aware of a symptom related to a disease. The “content information” is content corresponding to the corresponding “symptom”, for example, content in which content information of a symptom typified by a disease caused by the corresponding “symptom” is given in advance. That is, in the example of FIG. 8, the user corresponding to the symptom Sy <b> 1 is “DA1-1” that is the data of the first content, “DA1-2” that is the data of the second content, and the data of the third content. An example in which “DA1-3” is associated is shown. The user corresponding to the symptom Sy1 is a conscious user who is aware of the symptom Sy1 and a user who is unaware of the symptom Sy1 (a user who may have the symptom Sy1 in the future).

(About the control unit 130)
Returning to FIG. 4, the control unit 130 executes various programs stored in a storage device inside the information providing apparatus 100 using a RAM as a work area by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. Is realized. The control unit 130 is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As illustrated in FIG. 4, the control unit 130 includes an acquisition unit 131, an estimation unit 132, a prediction unit 133, an analysis unit 134, a generation unit 135, and a notification unit 136. Information described below Implement or execute a processing function or action. Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 4, and may be another configuration as long as the information processing described below is performed. In addition, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 4, and may be another connection relationship.

(About the acquisition unit 131)
The acquisition unit 131 acquires behavior information indicating the user's behavior on the network. For example, the acquisition unit 131 acquires purchase information, which is information related to purchase performed by the user, as the user behavior information. For example, the acquisition unit 131 acquires purchase information by accessing the external server 60 (for example, a shopping server). For example, the acquisition unit 131 periodically accesses the external server 60 and acquires purchase information. Further, the acquisition unit 131 stores the acquired purchase information in the behavior information storage unit 121 as shown in FIG. Similarly, the acquiring unit 131 acquires search information and browsing information.

  In addition, the acquisition unit 131 acquires the behavior information of a conscious user who is estimated to be aware that there is a symptom related to a disease based on behavior information indicating behavior on the network. For example, the acquisition unit 131 acquires the behavior information of the conscious user from the behavior information storage unit 121 when it is estimated by the estimation unit 132 whether or not there is a symptom related to a disease for each user.

  The estimation unit 132 also estimates whether the user is an unconscious user or an unconscious user. Therefore, the acquisition unit 131 acquires behavior information of a user (a cognitive user) estimated to recognize a disease caused by a symptom as a conscious user. Moreover, the acquisition part 131 acquires the behavior information of the user (unrecognized user) estimated not to recognize the disease resulting from the said symptom based on the said behavior information as a conscious user.

(About the estimation unit 132)
The estimation unit 132 estimates whether or not each user whose behavior information is acquired by the acquisition unit 131 is aware that there is a symptom related to some disease (disease). Specifically, the estimation unit 132 estimates, for each user, whether or not he / she is aware that there is a symptom related to a disease based on the behavior information of the user. For example, the estimation unit 132 estimates that a user who has performed an action such as “search for symptoms” is aware of the presence of symptoms. As an example, the estimation unit 132 estimates that a user who is searching for information using the content of the symptom “high blood pressure” as a search keyword is aware that there is a symptom related to a disease.

  In addition, the estimation unit 132 also estimates whether a user who has estimated that he / she is aware of a symptom related to a disease recognizes a disease name or the like as to what the disease is caused by the symptom. Specifically, the estimation unit 132 estimates whether or not each conscious user recognizes based on the behavior information of the conscious user. For example, the estimation unit 132 estimates that the aware user who has performed an action such as “search information by using a disease name as a search keyword” recognizes what the disease is.

(About the prediction unit 133)
The prediction unit 133 predicts information related to a disease. For example, the prediction unit 133 predicts a disease caused by the symptom from a symptom corresponding to the conscious user, that is, a symptom estimated to be conscious of the conscious user. For example, the predicting unit 133 predicts a possible symptom or disease for a target user having behavior information related to the behavior information of the conscious user. For example, the prediction unit 133 predicts a possible disease for the target user based on the input information input by the target user. For example, the prediction unit 133 matches the content information indicating the content of the symptom with the storage information in the disease information storage unit 122 to predict a disease caused by the symptom.

(About the analysis unit 134)
The analysis unit 134 analyzes the relationship (correlation) based on the tendency between the behavior information acquired by the acquisition unit 131 and information related to symptoms corresponding to the conscious user. For example, the analysis unit 134 performs correlation analysis for analyzing the correlation between the behavior information of the conscious user and the symptoms estimated to be conscious about the conscious user. For example, the analysis unit 134 analyzes the correlation between the behavior information and the symptom for each combination of the symptom and the user's behavior information estimated to be aware of the symptom. Further, the analysis unit 134 associates and stores the symptom (content information) obtained from the analysis result indicating that there is a correlation by the correlation analysis and the behavior information in the trend information storage unit 123.

  Here, the estimation unit 133 can also estimate which user is an unconscious user who is a user who is not aware of symptoms related to a disease. Therefore, the analysis unit 134 is based on the behavior information stored in the trend information storage unit 123, that is, the correlation behavior information, and the behavior information corresponding to the unconscious user in the behavior information storage unit 121. From the above, a process of identifying a target user who is a user having behavior information related to the behavior information in correlation may be performed.

  If it demonstrates using the example of FIG. 1, the analysis part 134 will select the object user who is a user who has action information relevant to the action information corresponding to the correlation T (for example, the same or similar) from among unconscious users. Identify. Specifically, the analysis unit 134 represents behavior information corresponding to the correlation T, that is, behavior information indicating “purchasing food PD2-1” and behavior information indicating “purchasing pharmaceutical product PD2-2”. And the user who has related action information is specified as an object user. In the example of FIG. 1, the analysis unit 134 specifies the user U52 as the target user.

(About the generator 135)
The generation unit 135 generates content. Specifically, the generation unit 135 generates content in which predetermined information based on a symptom estimated to be aware of a conscious user is displayed. In addition, the generation unit 135 generates content in which predetermined information based on a symptom is displayed as information that is notified to a conscious user or a target user and is based on the symptom.

  For example, the generation unit 135 generates content that is notified stepwise in response to a user operation in response to the user operation. For example, the generation unit 135 generates the first content, the second content, and the third content described with reference to FIG. For example, the generation unit 135 generates first content on which content information indicating the symptom content is displayed. Moreover, the production | generation part 135 produces | generates the 2nd content which is a content for making a user input about a subjective symptom, when a 1st content is selected. In addition, the generation unit 135 generates third content that is content on which prediction information predicted based on input information input to the second content is displayed. For example, the generation unit 135 generates, as the third content, content that displays a disease name of a disease predicted based on input information, and proposes third content that suggests a medical examination corresponding to the disease. .

(About the notification unit 136)
The notification unit 136 notifies the target user who is the user having the behavior information related to the behavior information acquired by the acquisition unit 131, the predetermined information based on the symptom. Specifically, it is estimated that the notification unit 136 is aware of the target user who has acquired the behavior information corresponding to (related to) the behavior information of the target user. Notify predetermined information based on symptoms. In the present embodiment, the expression “notify” may include expressions such as “provide” or “distribute”.

  In addition, the notification unit 136 is based on the tendency for the target user having the behavior information related to the behavior information that is based on the symptom and the tendency corresponding to the conscious user among the behavior information acquired by the acquisition unit 131. The predetermined information based on the symptom corresponding to the awareness user of the acquisition source from which the related behavior information is acquired is notified.

  In addition, the notification unit 136 notifies the target user who is estimated not to be aware of symptoms related to the disease as the target user based on the behavior information indicating the behavior of the target user on the network. In addition, the notification unit 136 provides predetermined information based on a symptom that the unrecognized user is aware of to a non-recognized user who is estimated to be a user who has not been recognized a disease caused by the symptom. To be notified.

  In addition, the notification unit 136 notifies the first content, which is the content in which the symptom is displayed, as the predetermined information in a state in which the user cannot specify the disease name caused by the symptom. Such a user is a target user or a conscious user. Moreover, the notification part 136 notifies the 2nd content which is a content for making a user input about a subjective symptom as predetermined information, when a 1st content is selected. In addition, the notification unit 136 notifies the third content, which is the content on which the prediction information predicted based on the input information input to the second content is displayed as the predetermined information. For example, the notification unit 136 notifies, as the third content, content that displays a disease name of a disease predicted based on input information and proposes a medical examination at a medical institution corresponding to the disease.

[4. Processing procedure)
Next, the information processing procedure executed by the information processing apparatus 100 according to the embodiment will be described with reference to FIG. In FIG. 9, the processing procedure up to the analysis processing for analyzing the correlation among the information processing executed by the information processing apparatus 100 according to the embodiment will be described. FIG. 9 is a flowchart illustrating a processing procedure according to an analysis process performed by the information processing apparatus 100 according to the embodiment. 9 will be described using the example of FIG. 1 as appropriate.

  First, the acquisition unit 131 acquires action information indicating each user's action on the Internet (step S101). For example, the acquisition unit 131 acquires behavior information from an external server device that cooperates with the information processing apparatus 100. For example, the acquisition unit 131 acquires purchase information, search information, and browsing information as behavior information. The acquisition unit 131 may acquire any behavior information as long as it is behavior information indicating the behavior of each user on the Internet, and is not limited to purchase information, search information, and browsing information.

  Next, the estimation unit 132 estimates whether or not each user who has acquired the behavior information is aware that there is a symptom related to some disease (disease) based on the behavior information of the user (step S102). . For example, the estimation unit 132 estimates that a user who has performed an action such as “search for symptoms” is aware of the presence of symptoms. As an example, the estimation unit 132 estimates that the user who is searching for information using the content information of the symptom “high blood pressure” as a search keyword is aware that there is a symptom related to the disease.

  The estimation unit 132 estimates whether or not each user whose behavior information is acquired by the acquisition unit 131 is aware that there is a symptom related to some disease (disease). Specifically, the estimation unit 132 estimates, for each user, whether or not he / she is aware that there is a symptom related to a disease based on the behavior information of the user. For example, the estimation unit 132 estimates that a user who has performed an action such as “search for symptoms” is aware of the presence of symptoms. As an example, the estimation unit 132 estimates that a user who is searching for information using the content of the symptom “high blood pressure” as a search keyword is aware that there is a symptom related to a disease.

  In addition, it is estimated that among the users whose behavior information has been acquired by the acquisition unit 131, users other than the conscious user are not aware that there is a symptom related to some illness (disease). Estimating the user means that the estimation unit 132 also estimates an unconscious user. For example, if the users U11, U12, and U13 are performing a search action such as “search for symptom Sy1,” the estimation unit 132 estimates that the users U11 to U13 are “aware that there is a symptom Sy1”. .

  In such a state, the estimation unit 132 classifies the conscious user into a cognitive user and an unrecognized user, and stores it in the storage unit according to the classification (step 103). For example, the estimation unit 132 also estimates whether or not the conscious user who has estimated that he / she is aware of a symptom related to a disease recognizes a disease name or the like as to a disease caused by the symptom. Specifically, the estimation unit 132 estimates whether or not each conscious user recognizes based on the behavior information of the conscious user. For example, the estimation unit 132 estimates that the aware user who has performed an action such as “search information by using a disease name as a search keyword” recognizes what the disease is.

  For example, if the conscious users U11 to U13 are “not searching information using the disease name as a search keyword”, the estimation unit 132 estimates that the conscious users U11 to U13 are “not aware of the disease caused by the symptom Sy1”. To do. On the other hand, for example, users U21 and U22 who are estimated to be aware of symptom Sy2 by performing a search action such as “search for symptom Sy2” search for information using “disease name“ sickA ”as a search keyword. ”. In such a case, the estimation unit 132 estimates that the conscious users U21 and U22 “recognize the disease sickA, which is a disease caused by the symptom Sy2.” In such a state, for example, as shown in FIG. 5, the estimation unit 132 stores the behavior information of each user in the behavior information storage unit 121 according to “user type” and “classification related to disease”. .

  Next, the prediction unit 133 predicts information regarding the disease or the disease of the conscious user based on the behavior information of the conscious user (step S104). For example, the prediction unit 133 predicts a disease caused by the symptom from the symptom corresponding to the conscious user, that is, the symptom estimated to be conscious of the conscious user. For example, the prediction unit 133 matches the content information indicating the content of the symptom with the storage information in the disease information storage unit 122 to predict a disease caused by the symptom. In the above example in which the conscious users U21 and U22 are performing an action such as “search information by using the disease name“ sickA ”as a search keyword”, the predicting unit 133 may cause the conscious users U21 and U22 to have disease sickA. Predict that.

  Next, the analysis unit 134 analyzes the relationship (correlation) based on the tendency between the behavior information of the conscious user and the information related to the symptom corresponding to the conscious user (step S105). For example, the analysis unit 134 analyzes the correlation between the behavior information and the symptom for each combination of the symptom and the user's behavior information estimated to be aware of the symptom. For example, the analysis unit 134 obtained the analysis result that the awareness users U11 to U13 who are aware of the presence of the symptom Sy1 tend to purchase the food PD2-1 and the pharmaceutical product PD2-2 by the correlation analysis. Shall. Such analysis results include “purchasing food PD2-1” and “purchasing medicinal product PD2-2”, symptom Sy1 (or a user who is presumed to be aware of symptom Sy1), and Indicates a correlation (referred to as “correlation T”).

  In addition, the analysis unit 134 detects a combination of behavior information and a symptom having a correlation, and stores the behavior information included in the detected combination in association with content information indicating the symptom (step S106). In the case of the above example, it is estimated that the analysis unit 134 is aware of “purchasing food PD2-1” and “purchasing pharmaceutical product PD2-2” and symptom Sy1 (or symptom Sy1). In order to detect that there is a correlation with the user), the behavior information and the content information are associated with each other and stored in the trend information storage unit 123.

[5. Processing procedure)
Next, a procedure of information processing executed by the information processing apparatus 100 according to the embodiment will be described with reference to FIG. In FIG. 10, the processing procedure of the notification processing after the analysis processing among the information processing executed by the information processing apparatus 100 according to the embodiment will be described. FIG. 10 is a flowchart illustrating a processing procedure related to a notification process performed by the information processing apparatus 100 according to the embodiment. 10 will be described using the example of FIG. 1 as appropriate. Note that the information processing shown in FIG. 10 may be performed at a different timing from the information processing shown in FIG.

  For example, the analysis unit 134 identifies a target user who is a user having behavior information related to behavior information having a correlation from among unconscious users estimated in step S102 illustrated in FIG. 9 (step S201). Specifically, the analysis unit 134 correlates based on the behavior information stored in the trend information storage unit 123, that is, the correlation behavior information, and the behavior information corresponding to the unconscious user in the behavior information storage unit 121. The target user who is a user who has the action information relevant to the action information in relation is specified.

  For example, the analysis unit 134 refers to the behavior information storage unit 121, behavior information corresponding to the correlation T, that is, behavior information indicating “purchasing food PD 2-1”, and “purchase the drug PD 2-2. It is determined whether or not there is a user who has behavior information related to behavior information indicating “. When there is a user having behavior information related to the behavior information corresponding to the correlation T, the analysis unit 134 identifies the user as a target user. According to the example of FIG. 1, for example, the analysis unit 134 identifies the user U52 as the target user. From this, it is suggested that there may be a symptom similar to the symptom Sy1 of the conscious user having the behavior information corresponding to the correlation T, that is, the conscious user U11 to U13, in the target user U52.

  When the target user is specified, the notification unit 136 notifies the first content as information based on the symptom corresponding to the source user who acquired the behavior information related to the target user's behavior information. (Step S202). For example, when the notification unit 136 receives a first content distribution request from the terminal device 10, the notification unit 136 notifies the first content. The target user U52 and FIG. 2 will be described as an example. When the notification unit 136 receives a content distribution request to be displayed in the display frame F1 included in the portal site P1 from the terminal device 10 of the target user U52, the notification unit 136 instructs the generation unit 135 to generate the first content.

  The generation unit 135 generates first content in response to an instruction from the notification unit 136. For example, the generation unit 135 displays the contents of the symptom Sy1 that is a symptom that may appear in the target user U52 / or a symptom that has already appeared but is not worried (a symptom that is presumed not to be noticed as a result). The content C1 (an example of the first content) that displays the content information to be displayed is generated. At this time, the generation unit 135 generates the content C1 so that the disease name of the disease caused by the symptom Sy1 is not displayed. That is, the generation unit 135 generates content C1 in which the target user U52 cannot specify the disease name.

  The notification unit 136 distributes the content C1 generated by the generation unit 135 to the terminal device 10. Thereby, the terminal device 10 displays the portal site P1 so that the content C1 including the content information is displayed in the display frame F1, as illustrated in FIG.

  Further, the notification unit 136 determines whether or not the first content has been selected (step S203). When the first content is not selected (step S203; No), the notification unit 136 waits until it is selected. On the other hand, when the first content is selected (step S203; Yes), the notification unit 136 notifies the second content, which is a content for allowing the user to input subjective symptoms (step S204).

  For example, when the notification unit 136 detects that the content C1 is selected (for example, tapped or clicked) by the target user U52, the notification unit 136 instructs the generation unit 135 to generate the second content. For example, the generation unit 135 generates the content C2 (an example of the second content) for allowing the target user U52 to input a symptom that is familiar to the user. For example, the generation unit 135 generates the content C2 for selecting content information corresponding to a symptom that is right from the content information indicating the content of a typical symptom of the disease predicted from the symptom Sy1.

  The notification unit 136 distributes the content C2 generated by the generation unit 135 to the terminal device 10. As a result, the terminal device 10 displays the content C2 as shown in FIG. 2B, as shown in FIG. 2B.

  In such a state, the notification unit 136 determines whether or not a response has been made with the second content (step S205). When the second content is not answered (step S205; No), the notification unit 136 waits until it is answered. On the other hand, when the notification unit 136 replies with the second content (step S205; Yes), the third content is content in which the prediction information predicted based on the input information input to the second content is displayed. Is notified (step S206).

  For example, it is assumed that the target user U52 selects content information as shown in FIG. 2B and presses the “Next” button. In such a case, the notification unit 136 receives the input information input (selected) by the target user U52 in the content C2. Then, the notification unit 136 transmits the received input information to the prediction unit 133. Then, the prediction unit 133 finally predicts a disease in which the target user U52 is affected or may be affected based on the input information. Here, it is assumed that the predicting unit 133 predicts that the target user U52 may suffer from the disease sickA. Further, it is assumed that the predicting unit 133 predicts that a symptom related to the disease sickA will appear in the target user U52 in the future. In such a case, the prediction unit 133 transmits the predicted prediction information to the generation unit 135.

  And the production | generation part 135 produces | generates the content C3 (an example of 3rd content) which the information regarding the disease sickA is displayed. For example, the generation unit 135 generates the content C3 that displays the suggestion information for suggesting to visit the specialized medical institution of the disease sickA together with the disease name, that is, the disease sickA.

  The notification unit 136 distributes the content C3 generated by the generation unit 135 to the terminal device 10. Thereby, the terminal device 10 displays the content C3 as shown in FIG.

  Although not shown, the information processing apparatus 100, for example, when the button indicating “Click here for medical institution guidance” is pressed in FIG. 2C, the location information of the target user U52. Based on (for example, current address or current position), a medical institution having a medical department corresponding to the disease sickA is searched. For example, the information processing apparatus 100 searches for a medical institution closer to the location of the target user U52. Then, the information processing apparatus 100 distributes content including the searched search results to the terminal device 10.

[6. (Modification)
The information processing apparatus 100 according to the embodiment may be implemented in various different forms other than the above examples. Accordingly, other embodiments will be described below.

[6-1. Information notification to unrecognized users)
In the above embodiment, an example in which the information processing apparatus 100 notifies the target user of information has been described. However, the information processing apparatus 100 may notify information to a conscious user. For example, the notification unit 136 provides predetermined information based on this symptom to an unrecognized user who is estimated to have not recognized a disease caused by the symptom corresponding to the conscious user. Notice. For example, in the example of FIG. 1, the conscious users U11 to U13 are all classified as unrecognized users.

  If this example is used, the notification unit 136 can perform the same information notification to the target user U52 described with reference to FIG. 2 and also to the aware users U11 to U13. It is estimated that the conscious users U11 to U13 are aware that there is a symptom Sy1. Therefore, as described with reference to FIG. 2, the notification unit 136 transmits the content C1 (first content), the content C (second content), and the content C3 (third content) as the information based on the symptom Sy1, and the conscious user U11. ~ U13 Notification is made step by step according to each operation.

  Thereby, the information processing apparatus 100 according to the embodiment, for example, allows a user who is aware of a symptom but has not been able to recognize what the illness is caused to recognize the illness caused by the symptom. Can contribute to early detection and treatment of diseases.

[6-2. Information notification to cognitive users)
In addition, the notification unit 136 notifies predetermined information based on the symptom corresponding to the cognitive user to the cognitive user who is estimated to recognize the disease caused by the symptom among the conscious users. Also good. The notification part 136 showed the example which notifies a 3rd content in steps from a 1st content with respect to an unrecognized user. However, the notification unit 136 sequentially notifies the fourth content and the fifth content when notifying the cognitive user among the conscious users.

  The fourth content is content that displays the disease name of the disease caused by the symptom, and is displayed in a manner such as advertisement content (for example, banner advertisement) in a predetermined page. The fifth content is content for proposing consultation at a medical institution corresponding to a disease when the fourth content is selected.

  Here, as shown in FIG. 5, the estimation unit 132, the case where it is estimated that the conscious users U21 and U22 “recognize disease sickA, which is a disease caused by symptom Sy2”, is illustrated in FIG. 11. It explains using. FIG. 11 is a diagram illustrating an example of information notification according to the modification. Awareness users U21 and U22 are also cognitive users.

  When the notification unit 136 receives a distribution request for content to be displayed in the display frame F1 included in the portal site P1 from the terminal device 10 of the conscious user U21, the notification unit 136 instructs the generation unit 135 to generate the fourth content.

  The generation unit 135 generates the fourth content in response to an instruction from the notification unit 136. For example, the generation unit 135 includes the disease sickA estimated to be recognized by the conscious user U21 and the symptom typified by the disease sickA (or the symptom Sy2 estimated to be conscious of the conscious user U21). A content C4 (an example of the fourth content) in which the content information is displayed is generated.

  The notification unit 136 distributes the content C4 generated by the generation unit 135 to the terminal device 10. Thereby, the terminal device 10 displays the portal site P1 so that the content C4 is displayed in the display frame F1, as shown in FIG.

  In such a state, when the fourth content is selected, the notification unit 136 notifies the fifth content, which is a content for proposing consultation at a medical institution corresponding to the disease. For example, it is assumed that the conscious user U21 selects the content C4. In such a case, the notification unit 136 instructs the generation unit 135 to generate the content C5 (an example of fifth content). The generation unit 135 generates content C5 that suggests a medical examination at a medical institution corresponding to the disease sickA estimated to be recognized by the conscious user U21.

  The notification unit 136 distributes the content C5 generated by the generation unit 135 to the terminal device 10. Thereby, the terminal device 10 displays the content C5 as shown in FIG.

  For example, there are users who are aware of symptoms and have not taken specific measures even if they recognize a disease corresponding to the symptoms. The information processing apparatus 100 according to the embodiment can give such a user an opportunity to cause an action for symptom improvement or early treatment of a disease.

[6-3. Notification of information to target users)
In addition, the notification unit 136 recognizes when the target user estimated to have no awareness of the symptoms related to the disease based on the behavior information indicating the behavior on the network has the behavior information related to the behavior information of the cognitive user. The user is notified of predetermined information based on symptoms corresponding to the user.

  For example, it is assumed that the target user U53 has behavior information related to the conscious user U21 who recognizes the disease. In such a case, in the example so far, the notification unit 136 notifies the target user U53 of the third content from the first content step by step as information related to the symptom Sy2 corresponding to the conscious user U21. However, the notification unit 136 may notify the fourth content and the fifth content in order as described with reference to FIG. This is because it is considered that the target user U53 has behavior information related to the conscious user U21 who recognizes the disease, and the target user U53 is likely to recognize the disease. It is.

  Thereby, for example, the information processing apparatus 100 according to the embodiment causes a user who does not take specific measures even if he / she recognizes a disease to take action for symptom improvement or early treatment of the disease. Can give you a chance.

[6-4. (Notification of disease name)
In the above-described embodiment, an example has been described in which the notification unit 136 notifies the first content in a state in which the user cannot specify the disease name of the disease caused by the symptom. However, the notification unit 136 may notify the disease name of the disease caused by the symptom in a state in which the user can specify. Specifically, the notification unit 136 may notify the content in which the disease name of the disease caused by the symptom is displayed as the first content.

  In this case, the notification unit 136 notifies the user of the disease name in a question format that asks the user about the presence or absence of the disease instead of notifying the user of the disease name in such a way that the user is determined to have the disease. It is preferable to do. Using the examples so far, the notification unit 136 sends the first content in which the disease name “sickA” is displayed in the question format to the target user U52 in the form of “Do you know sickA?” You may be notified. Note that the notification unit 136 may also notify the fourth content in the same format.

  For example, depending on how the disease name is displayed, there may be a user who does not like this because the disease name is declared. In such a case, if the question format is as described above, the user does not receive the impression that his / her disease name has been declared. For this reason, the information processing apparatus 100 according to the embodiment can notify the content that does not worsen the user's spirit and does not frighten the user.

[7. Hardware configuration)
Further, the information processing apparatus 100 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in FIG. 12, for example. FIG. 12 is a hardware configuration diagram illustrating an example of a computer 1000 that implements the functions of the information processing apparatus 100. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the communication network 50 and sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the communication network 50.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or 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.

  For example, when the computer 1000 functions as the information processing apparatus 100, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. The HDD 1400 stores data in the storage unit 120. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the communication network 50.

[8. Others]
In addition, among the processes described in the above embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  Moreover, each embodiment mentioned above can be combined suitably in the range which does not contradict a process content.

[9. effect〕
The information processing apparatus 100 according to the embodiment includes an acquisition unit 131 and a notification unit 136. The acquisition unit 131 acquires the behavior information of a conscious user who is estimated to be aware that there is a symptom related to injury or illness based on behavior information indicating behavior on the network. The notification unit 136 notifies the target user who is the user having the behavior information related to the behavior information acquired by the acquisition unit 131, the predetermined information based on the symptom.

  Thereby, the information processing apparatus 100 according to the embodiment can appropriately provide information regarding the disease to the user.

  In addition, the acquisition unit 131 recognizes a user's behavior information estimated to recognize a disease caused by a symptom based on the behavior information as a conscious user, or a disease caused by the symptom based on the behavior information as a conscious user. The action information of the user estimated not to be acquired is acquired.

  Thereby, the information processing apparatus 100 according to the embodiment detects a difference in behavior information between a user who recognizes a disease caused by a symptom and a user who does not recognize a disease caused by the symptom even in the same conscious user. Therefore, for example, it can be determined whether or not the target user recognizes a disease caused by the symptom.

  In addition, the acquisition unit 131 acquires, as behavior information, search information that is information related to the search behavior of the conscious user, purchase information that is information related to the purchase behavior of the conscious user, or browsing information that is information related to the browsing behavior of the conscious user. To do.

  Thereby, since the information processing apparatus 100 according to the embodiment can acquire various types of behavior information, it is possible to accurately estimate whether or not there is a symptom related to injury or illness.

  The information processing apparatus 100 according to the embodiment further includes an analysis unit 134. The analysis unit 134 analyzes the relationship based on the tendency between the behavior information acquired by the acquisition unit 131 and information related to symptoms corresponding to the conscious user. In addition, the notification unit 136 is based on the tendency for the target user having the behavior information related to the behavior information that is based on the symptom and the tendency corresponding to the conscious user among the behavior information acquired by the acquisition unit 131. The predetermined information based on the symptom corresponding to the awareness user of the acquisition source from which the related behavior information is acquired is notified.

  As a result, the information processing apparatus 100 according to the embodiment can accurately identify a user who is not aware of the symptom and is not aware of the onset of the disease, or a user who is likely to develop the disease. Such a user can be made to recognize the possibility of a disease effectively. As a result, the information processing apparatus 100 can contribute to the user's comfortable daily life because it can contribute to early detection of a disease, for example.

  In addition, the notification unit 136 notifies the target user who is estimated that the target user is not aware of symptoms related to the sickness and disease based on the behavior information indicating the behavior of the target user on the network.

  As a result, the information processing apparatus 100 according to the embodiment can accurately identify a user who is not aware of the symptom and is not aware of the onset of the disease, or a user who is likely to develop the disease. Such a user can be made to recognize the possibility of a disease effectively. As a result, the information processing apparatus 100 can contribute to the user's comfortable daily life because it can contribute to early detection of a disease, for example.

  In addition, the notification unit 136 provides predetermined information based on a symptom that the unrecognized user is aware of to a non-recognized user who is estimated to be a user who has not been recognized a disease caused by the symptom. To be notified.

  Thereby, the information processing apparatus 100 according to the embodiment does not recognize the illness causing the symptom even if the symptom is conscious, for example, for a user who neglects the symptom, The disease can be recognized accurately.

  Further, the notification unit 136 notifies the first content, which is the content displaying the symptom content, as the predetermined information in a state in which the user cannot specify the disease name of the disease caused by the symptom.

  Thereby, the information processing apparatus 100 according to the embodiment can increase the appeal of the first content.

  Moreover, the notification part 136 notifies the 2nd content which is a content for making a user input about a subjective symptom as predetermined information, when a 1st content is selected.

  Thereby, since the information processing apparatus 100 according to the embodiment can directly acquire information related to symptoms from the user side, it is possible to predict a possible disease for the user with high accuracy.

  In addition, the notification unit 136 notifies the third content, which is the content on which the prediction information predicted based on the input information input to the second content is displayed as the predetermined information.

  Thereby, the information processing apparatus 100 according to the embodiment can effectively cause the user to recognize that there is a possibility of a disease.

  Further, the notification unit 136 notifies the third content of the content that displays the disease name of the disease predicted based on the input information, and proposes the medical institution corresponding to the disease.

  Thereby, since the information processing apparatus 100 according to the embodiment can contribute to early detection of a disease, it can contribute to a comfortable daily life of the user.

  In addition, the notification unit 136 notifies predetermined information based on the symptom corresponding to the cognitive user to the cognitive user who is estimated to be aware of the disease caused by the symptom among the conscious users.

  For example, there are users who have recognized their own disease but have not taken specific measures. The information processing apparatus 100 according to the embodiment can give a trigger for taking action for symptom improvement and early treatment of a disease from a third party standpoint.

  In addition, the notification unit 136, when the target user who is estimated not to be aware of symptoms related to injury or illness as the target user based on the behavior information indicating the behavior on the network has the behavior information related to the behavior information of the cognitive user. Notifies the predetermined information based on the symptoms corresponding to the cognitive user.

  Accordingly, the information processing apparatus 100 according to the embodiment omits an operation of performing information input on the second content because the target user is likely to recognize the disease caused by the symptom. It is possible to more smoothly provide information on medical institutions corresponding to the above.

  In addition, the notification unit 136 notifies the fourth content, which is content for displaying the disease name of the disease caused by the symptom, as the predetermined information based on the symptom.

  Thereby, the information processing apparatus 100 according to the embodiment can increase the appeal of the fourth content.

  In addition, when the fourth content is selected, the notification unit 136 notifies the fifth content, which is a content for proposing consultation at a medical institution corresponding to the disease.

  Thereby, since the information processing apparatus 100 according to the embodiment can contribute to early detection of a disease, it can contribute to a comfortable daily life of the user.

  As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications, including the aspects described in the disclosure section of the invention, based on the knowledge of those skilled in the art, It is possible to implement the present invention in other forms with improvements.

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

DESCRIPTION OF SYMBOLS 1 Information processing system 10 Terminal apparatus 60 External server 100 Information processing apparatus 121 Behavior information storage part 122 Disease information storage part 123 Trend information storage part 124 Content information storage part 131 Acquisition part 132 Estimation part 133 Prediction part 134 Analysis part 135 Generation part 136 Notification section

Claims (15)

A storage unit for storing behavior information indicating user behavior on the network;
Depending on whether or not the behavior information stored in the storage unit indicates a behavior that is apt to be performed by a user who is aware that there is a symptom related to injury or illness, the user who has acquired the behavior information has a symptom related to injury or illness. An estimation unit that estimates whether or not
Of the users obtained the action information, an acquisition unit that acquires behavior information of the subjective user is a user who is estimated to be aware that there are symptoms related to the victim from the storage unit by the estimating unit ,
To the target user is a user having the action information associated with behavioral information acquired by the acquisition unit, have a notification unit that notifies the predetermined information based on the symptoms,
The notifying unit, as the target user, notifies the target user who is estimated not to be aware of symptoms related to injury or illness by the estimating unit, and notifies the first content that is the content in which the details of the symptoms are displayed; When the first content is selected by the target user, the second content, which is the content for the target user to input about the subjective symptom, is notified and predicted based on the input information input to the second content. An information processing apparatus for notifying third content, which is content for displaying a disease name of a particular disease and suggesting medical examination at a medical institution corresponding to the disease . The estimation unit is behavior information stored in the storage unit, and whether or not the behavior information of the aware user indicates a behavior that a user who recognizes a disease caused by the symptom tends to perform In response, it is estimated whether the conscious user is aware of the disease caused by the symptom,
The acquisition unit, as the awareness user behavior information of the user is estimated that recognizes a disease caused by the symptoms by the estimation unit, or, as the awareness user, due to the condition by the estimation unit The information processing apparatus according to claim 1, wherein the behavior information of a user who is estimated not to recognize a disease is acquired. The acquisition unit includes, as the behavior information, search information that is information related to the search behavior of the conscious user, purchase information that is information related to the purchase behavior of the conscious user, or browsing information that is information related to the browsing behavior of the conscious user. The information processing device according to claim 1, wherein the information processing device is acquired. An analysis unit that analyzes a relationship based on a tendency between the behavior information acquired by the acquisition unit and information on symptoms corresponding to the conscious user;
The notification unit has the behavior information acquired by the acquisition unit with respect to a target user having behavior information related to the behavior information related to the symptom corresponding to the conscious user and the tendency. The information processing apparatus according to any one of claims 1 to 3, wherein predetermined information based on a symptom corresponding to an awareness user of an acquisition source from which action information having a relation based on the acquired information is acquired is notified. The estimation unit is behavior information stored in the storage unit, and whether or not the behavior information of the aware user indicates a behavior that a user who recognizes a disease caused by the symptom tends to perform In response, it is estimated whether the conscious user is aware of the disease caused by the symptom,
The notifying unit is a predetermined information based on a symptom recognized by the unrecognized user with respect to an unrecognized user who is estimated to have not recognized a disease caused by the symptom among the conscious users. The information processing apparatus according to any one of claims 1 to 4 , wherein: The notification section, as the predetermined information processing apparatus according to any one of claims 1-5, characterized in that the content of the condition to notify the first content is a content to be displayed. The notification unit according to when the first content is selected, as the predetermined information, in claim 6, wherein notifying the second content is content for inputting the user about the symptoms Information processing device. The notification section, as the predetermined information, to claim 7, characterized in that the predicted prediction information based on the input information input to the second content to notify the third content is content to be displayed The information processing apparatus described. The notification unit notifies the third content as content displaying a disease name of a disease predicted based on the input information and proposing a medical examination at a medical institution corresponding to the disease. The information processing apparatus according to claim 8 , characterized in that: The estimation unit is behavior information stored in the storage unit, and whether or not the behavior information of the aware user indicates a behavior that a user who recognizes a disease caused by the symptom tends to perform In response, it is estimated whether the conscious user is aware of the disease caused by the symptom,
The notification unit notifies predetermined information based on a symptom corresponding to the cognitive user to a cognitive user who is estimated to be aware of a disease caused by the symptom among the conscious users. The information processing apparatus according to any one of claims 1 to 4. The notification unit is based on behavior information indicating behavior on a network, and the target user estimated not to be aware of symptoms related to injury or illness as the target user has behavior information related to the behavior information of the cognitive user The information processing apparatus according to claim 10 , wherein predetermined information based on a symptom corresponding to the cognitive user is notified. The information according to claim 10 or 11 , wherein the notification unit notifies, as predetermined information based on the symptom, fourth content that is a content in which a disease name of a disease caused by the symptom is displayed. Processing equipment. The information according to claim 12 , wherein when the fourth content is selected, the notification unit notifies the fifth content, which is a content that suggests a medical examination corresponding to the disease. Processing equipment. An information processing method executed by a computer,
Storing behavior information indicating user behavior on the network in a storage unit;
Depending on whether or not the behavior information stored in the storage unit indicates a behavior that is apt to be performed by a user who is aware that there is a symptom related to injury or illness, the user who has acquired the behavior information has a symptom related to injury or illness An estimation process for estimating whether or not
Of the users obtained the action information, an acquisition step of acquiring behavior information of the estimation step by the victim awareness is a user who is estimated to be aware that there are symptoms related to the user from the storage unit ,
To the target user is a user having the action information associated with the acquired action information by the acquisition step, seen including a notifying step for notifying predetermined information based on the symptoms,
The notifying step notifies the target user who is estimated not to be aware of a symptom related to injury or illness by the estimating unit as the target user, and notifies the first content that is a content in which the details of the symptom are displayed; When the first content is selected by the target user, the second content, which is the content for the target user to input about the subjective symptom, is notified and predicted based on the input information input to the second content. An information processing method comprising: notifying a third content that is a content in which a disease name of a particular disease is displayed and is a content that suggests a medical examination corresponding to the disease . A procedure for storing behavior information indicating user behavior on the network in the storage unit;
Depending on whether or not the behavior information stored in the storage unit indicates a behavior that is apt to be performed by a user who is aware that there is a symptom related to injury or illness, the user who has acquired the behavior information has a symptom related to injury or illness An estimation procedure for estimating whether or not there is,
Of the users obtained the action information, the acquisition step of acquiring behavior information of the subjective user is a user who is estimated to be aware that there are symptoms related to the victim by the estimation procedure from said storage unit ,
Causing the computer to execute a notification procedure for notifying the target user who is a user having behavior information related to the behavior information acquired by the acquisition procedure, the predetermined information based on the symptom ,
In the notification procedure, as the target user, the target user who is estimated not to be aware of symptoms related to injury or illness by the estimation unit is notified of the first content that is the content in which the details of the symptoms are displayed, When the first content is selected by the target user, the second content, which is the content for the target user to input about the subjective symptom, is notified and predicted based on the input information input to the second content. An information processing program for notifying a third content that is a content that displays a disease name of a disease and that proposes a medical examination at a medical institution corresponding to the disease .

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