JP2020144714A - Estimation device, estimation method, and estimation program - Google Patents

Abstract

To allow for providing information appropriate for people with symptoms.SOLUTION: An estimation device of the present invention includes a reception unit and an estimation unit. The reception unit receives a search query. The estimation unit estimates a person with symptoms related to the search query using the search query received by the reception unit.SELECTED DRAWING: Figure 3

Description

The present invention relates to an estimation device, an estimation method and an estimation program.

Conventionally, a technique for estimating a disease from a symptom has been proposed. For example, in one technique, a user's disease is estimated based on the user's current symptoms and the diseases previously searched by the user (Patent Document 1).

Japanese Unexamined Patent Publication No. 2004-118566

However, the above-mentioned prior art may not always be able to provide appropriate information for a person having a symptom. For example, in the above prior art, the symptoms entered by the user are not necessarily related to the disease previously searched by the user.

The present application has been made in view of the above, and an object of the present application is to provide an estimation device, an estimation method, and an estimation program capable of providing appropriate information for a person having a symptom.

The estimation device according to the present application is characterized by including a reception unit that accepts a search query and an estimation unit that estimates a person having a symptom related to the search query by using the search query received by the reception unit. To do.

According to one aspect of the embodiment, there is an effect that appropriate information can be provided to a person having a symptom.

FIG. 1 is a diagram showing an example of estimation processing according to the embodiment. FIG. 2 is a diagram showing an example of content according to the estimation result. FIG. 3 is a diagram showing a configuration example of the estimation device according to the embodiment. FIG. 4 is a diagram showing an example of a user information storage unit according to the embodiment. FIG. 5 is a flowchart showing an estimation processing procedure by the estimation device according to the embodiment. FIG. 6 is a diagram showing an example of estimation processing according to a modified example. FIG. 7 is a diagram showing an example of estimation processing according to a modified example. FIG. 8 is a diagram showing an example of a hardware configuration.

Hereinafter, a mode for carrying out the estimation device, the estimation method, and the estimation program according to the present application (hereinafter referred to as “the embodiment”) will be described in detail with reference to the drawings. It should be noted that this embodiment does not limit the estimation device, estimation method, and estimation program according to the present application. In addition, each embodiment can be appropriately combined as long as the processing contents do not contradict each other. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description will be omitted.

[1. Estimate processing]
First, an example of the estimation process according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of estimation processing according to the embodiment. In the example of FIG. 1, the estimation process is performed by the estimation system 1 according to the embodiment.

As shown in FIG. 1, the estimation system 1 includes a user device 10 and an estimation device 100. Although not shown in FIG. 1, the estimation system 1 may include a plurality of user devices 10 and a plurality of estimation devices 100.

The user device 10 is an information processing device used by the user. The user device 10 may be any type of information processing device including a smartphone, a desktop PC (Personal Computer), a notebook PC, and a tablet PC.

The estimation device 100 is an information processing device that provides various information to the user device 10. For example, the estimation device 100 is a server device that provides various information to the user device 10.

In the example of FIG. 1, the estimation device 100 provides the user device 10 with contents such as a search and a portal (for example, a search page and a portal page). The estimation device 100 may provide the user device 10 with content such as a search or a portal via an application (for example, a search application or a portal application). When the search query is input to the search box of the content such as the search or the portal, the estimation device 100 provides the user device 10 with the search result corresponding to the search query. Although not shown in FIG. 1, the estimation device 100 communicates with the user device 10 by wire or wirelessly via a network network (for example, an Internet network).

As an example for illustration, suppose a user's child tells the user that "both sides of the head hurt". Further assume that the user has entered the search query "both sides of the head hurts" into a search box for content such as a search or portal to find out the cause of the child's headache. In this example, search results corresponding to the search query "both sides of the head hurt" are provided to the user device of this user.

Such a list of search results may include content that describes the disease that causes the headache in terms of the location of the headache. However, it may be difficult for the user to search for medical information suitable for the child's symptoms from such contents.

Therefore, in one example, the estimation device 100 executes the estimation process described below in order to make it easier for the user to search for medical information that matches the symptoms of a certain person (for example, the child of the user). In an example of the estimation process described below, when a user inputs a search query, the user himself or a person related to this user is estimated as a person who has a symptom related to the search query.

First, the estimation device 100 receives the search query from the user device 10 (step S11).

For illustration purposes, in the example of FIG. 1, it is assumed that the child of the user of the user device 10 has told the user that "both sides of the head hurt". Further, it is assumed that the user of the user device 10 inputs the search query "both sides of the head hurts" in the search box of the content such as a search or a portal in order to investigate the cause of the child's headache. In this example, the estimation device 100 receives the search query "both sides of the head hurt" from the user device 10.

Next, the estimation device 100 estimates a person who has a symptom related to the search query among the user of the user device 10 and the person related to the user of the user device 10 in response to receiving the search query (step S12). ).

Although not shown in FIG. 1, the estimation device 100 stores, for example, user information of the user of the user device 10 in a storage device inside the estimation device 100. For example, the estimation device 100 stores demographic information of the user of the user device 10 as user information. In the example of FIG. 1, the stored demographic information includes, for example, information such as age, gender, family structure (eg, age of a child). The user information will be described later in relation to FIG.

Further, although not shown in FIG. 1, the estimation device 100 stores, for example, disease information related to a disease in a storage device inside the estimation device 100. In the example of FIG. 1, the stored disease information includes, for example, information such as a disease name and a difference in symptoms depending on age.

In the example of FIG. 1, in the estimation device 100, a person having a symptom related to a search query based on the above-mentioned stored demographic information and the above-mentioned stored disease information is a user of the user device 10. That is, it is estimated whether it is the user itself) or a person related to the user of the user device 10 (for example, a child of the user).

For example, the estimation device 100 specifies "35 to 49 years old" as the age of the user of the user device 10 based on the stored demographic information. Further, the estimation device 100 specifies "6 years old or more and less than 18 years old" as the age of the user's child based on the stored demographic information. In addition, the estimation device 100 is based on the stored disease information as a disease that may cause symptoms associated with the search query "bilateral headache" (ie, "bilateral headache"). Identify "headaches". In addition, the estimation device 100 determines that migraine headaches in children or adolescents (for example, persons aged 6 to 18 years old) are adults, as a difference depending on the age of the symptoms of the identified disease based on the stored disease information. Compared to migraine headaches, they are more often bilateral migraine headaches. " Then, the estimation device 100 is based on the difference between the age of the specified user, the age of the specified child, the specified disease, and the age of the specified symptom, and "the child of the user of the user device 10". Is estimated as a person with symptoms associated with the search query "pain on both sides of the head".

After that, the estimation device 100 provides the user device 10 with the content according to the estimation result (step S13).

FIG. 2 is a diagram showing an example of content according to the estimation result. The content C11 in FIG. 2 is the content provided by the estimation device 100. In the example of FIG. 2, the content C11 is shown as content such as a search or a portal. As described above, the estimation device 100 receives the search query "both sides of the head hurt" entered in the search box SB11 of the content C11 from the user device 10. In this case, the estimation device 100 provides the user device 10 with the content C21 according to the above estimation result.

In the example of FIG. 2, the provided content C21 includes the content C22 relating to the search result. Content C22 shows search results related to the search query "both sides of the head hurt" and the presumed person "children of the user of the user device 10". For example, content C22 includes a title of content related to the symptom "headache" and the attribute "child" (eg, the title "child's headache") and a snippet of this content. When the user of the user device 10 selects a title of the content, the estimation device 100 provides the content corresponding to the selected title.

As described above, when the user inputs the search query, the estimation device 100 according to the embodiment estimates the user himself / herself or a person related to the user as a person having a symptom related to the search query. This allows the estimation device 100 to more easily search for medical information that matches the symptoms of a person related to the user (for example, the child of the user). Therefore, the estimation device 100 can improve the search experience.

By the way, in the examples of FIGS. 1 and 2, the estimation device 100 estimates the user's family (for example, the user's child) as a person having a symptom related to the search query. The estimation result of such a person can also be used for finding a disease using a search query. For example, search queries related to symptoms or diseases may be used as data to estimate a user's disease.

However, the symptoms related to the search query, such as the symptoms of FIGS. 1 and 2, may not be the symptoms of the user who entered the search query. Such a situation is related to the problem of label noise. In this regard, even if the symptom associated with the search query is not the symptom of the user who entered the search query, the estimation device 100 treats the user himself or a person related to this user as a person having symptoms related to the search query. Can be estimated. Therefore, the estimation device 100 can also improve the accuracy of disease estimation using the search query by reducing the label noise. Hereinafter, the estimation device 100 that realizes such an estimation process will be described in detail.

[2. Configuration of estimation device]
Next, a configuration example of the estimation device 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the estimation device 100 according to the embodiment. As shown in FIG. 3, the estimation device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The estimation device 100 has an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from an administrator or the like who uses the estimation device 100, and a display unit (liquid crystal display, etc.) for displaying various information. You may.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the network network by wire or wirelessly, and transmits / receives information to / from the user device 10 via the network network.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 3, the storage unit 120 has a user information storage unit 121.

(User information storage unit 121)
FIG. 4 is a diagram showing an example of the user information storage unit 121 according to the embodiment. The user information storage unit 121 stores the user information of the user. The user information includes, for example, attribute information (for example, demographic information, psychographic information), search history information, purchase history information, and context information (for example, action context, action background, relationship between actions, and action status of actions. , The situation in which the user is placed, the environment in which the user is placed, the behavior pattern of the user, information representing the user's interests and interests, etc.), browsing history information, usage history information (for example, information about the service used by the user), Information such as viewing history information, sales history information, and location information (for example, movement history information).

The user information storage unit 121 stores, for example, the user information received by the reception unit 131. In the example of FIG. 4, "user information" is stored in the user information storage unit 121 for each "user ID". As an example, the "user information" includes the item "attribute information".

The "user ID" indicates an identifier for identifying the user. "Attribute information" indicates the attributes of the user. The "attribute information" includes the item "demographic information". "Demographic information" indicates a user's demographic (also called a demographic attribute). Demographics include attributes such as age, gender, family structure, area of residence, income, income, occupation and the like.

For example, FIG. 4 shows that the age of the user identified by the user ID "U1" is "35-49 years old". Further, for example, FIG. 4 shows that the gender of the user identified by the user ID "U1" is "male". Further, for example, FIG. 4 shows that the user identified by the user ID “U1” is a “married person”. Further, for example, FIG. 4 shows that the user identified by the user ID “U1” has a daughter. Further, for example, FIG. 4 shows that the age of the eldest daughter of the user identified by the user ID "U1" is "6 years old or more and less than 18 years old".

In one example, the storage unit 120 may have a disease information storage unit (not shown). The disease information storage unit may store disease information related to the disease. The disease information storage unit may store, for example, the disease information received by the receiving unit 131. The disease information may include, for example, information such as a disease name, a difference in symptoms depending on age, a difference in morbidity rate depending on age, a relationship between disease and age, and a difference in morbidity rate depending on gender. In addition, "disease" can be read as "disease" or "disease".

The user information stored in the user information storage unit 121 may include the item "family history information" (not shown).

The "family history information" indicates, for example, the family history of the user. As an example, the family history is, for example, a record of the medical history of the user's family, the health condition of the user's family, the cause of death of the user's family, and the like.

(Control unit 130)
The control unit 130 is a controller, and various programs (of the estimation program) stored in the storage device inside the estimation device 100 by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). (Corresponding to one example) is realized by executing RAM or the like as a work area. Further, the control unit 130 is a controller, and may be realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the control unit 130 includes a reception unit 131, an acquisition unit 132, a reception unit 133, an estimation unit 134, a provision unit 135, and a proposal unit 136, and the information described below. Realize or execute the function or action of processing. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it is a configuration for performing information processing described later.

(Receiver 131)
The receiving unit 131 receives the user information of the user. For example, the receiving unit 131 receives user information from a predetermined information processing device. For example, the receiving unit 131 receives user information from the device of an entity (for example, a user, a company) related to the estimation device 100. The receiving unit 131 may store the received user information in the user information storage unit 121.

The receiving unit 131 may receive the user information via the content provided by the providing unit 135. Content provided by Provider 135 includes search, portals, shopping, auctions, news, finance, travel, restaurant introductions, sports, television, videos, games, maps, route information, food, real estate, cars, blogs, marriages. , Manga, fortune-telling, regional information, and the like.

The receiving unit 131 may receive user information from the user of the estimation device 100 via the user interface. The receiving unit 131 may store the received user information in the user information storage unit 121.

In one example, the receiver 131 may receive disease information about the disease. For example, the receiving unit 131 may receive disease information from a predetermined information processing device. For example, the receiving unit 131 may receive disease information from the device of an entity (for example, a user, a company) related to the estimation device 100. The receiving unit 131 may store the received disease information in the above-mentioned disease information storage unit (not shown).

(Acquisition unit 132)
The acquisition unit 132 acquires user information of the user. The acquisition unit 132 acquires, for example, the user information received by the reception unit 131. The acquisition unit 132 may acquire user information from a predetermined storage device. For example, the acquisition unit 132 may acquire user information from the user information storage unit 121. The acquisition unit 132 may store the acquired user information in the user information storage unit 121.

The acquisition unit 132 acquires the user information of the user associated with the search query received by the reception unit 133.

For example, the acquisition unit 132 acquires attribute information indicating a user's attribute as user information.

The acquisition unit 132 may acquire family history information indicating the user's family history as user information.

In one example, the acquisition unit 132 may acquire disease information regarding the disease. The acquisition unit 132 may acquire, for example, the disease information received by the reception unit 131. The acquisition unit 132 may acquire disease information from a predetermined storage device. For example, the acquisition unit 132 may acquire disease information from the above-mentioned disease information storage unit (not shown). The acquisition unit 132 may store the acquired disease information in the disease information storage unit.

(Reception Department 133)
The reception unit 133 accepts a search query. For example, the reception unit 133 accepts a search query associated with the user of the user apparatus 10 as a search query.

In one example, the reception unit 133 receives the search query from the user device 10. More specifically, the reception unit 133 receives the search request including the search query from the user device 10. Then, the reception unit 133 extracts a search query from the received search request. In this way, the reception unit 133 can receive the search query.

(Estimating unit 134)
The estimation unit 134 estimates a person having a symptom related to the search query by using the search query received by the reception unit 133. For example, the estimation unit 134 uses the search query received by the reception unit 133 to be a user associated with the search query, or a person related to this user, who has a symptom related to the search query. To estimate. In addition, "symptom" can be read as "pathological condition".

For example, the estimation unit 134 uses the search query to determine whether the person having the symptom related to the search query is the user associated with the search query or a person different from this user and related to this user. To estimate.

Further, for example, the estimation unit 134 estimates a person having a symptom related to a search query based on the user information acquired by the acquisition unit 132. For example, the estimation unit 134 selects a person who has a symptom related to the search query based on the user information of the user associated with the search query received by the reception unit 133 among the user information acquired by the acquisition unit 132. presume.

For example, the estimation unit 134 estimates a person who has a symptom related to the search query based on the attribute information acquired by the acquisition unit 132.

For example, the estimation unit 134 identifies the age of the user based on the attribute information, compares the identified age with the age corresponding to a disease that may cause symptoms related to the search query, and the comparison result. Estimate the person with the symptoms associated with the search query based on.

In one example, the estimation unit 134 estimates a user of the user apparatus 10 and a person related to the user who has a symptom related to the search query in response to the reception query being received by the reception unit 133. ..

For example, in the estimation unit 134, a person who has a symptom related to a search query based on the demographic information acquired by the acquisition unit 132 and the disease information acquired by the acquisition unit 132 is a user of the user apparatus 10 ( That is, it is estimated whether the user is the user himself / herself or a person related to the user of the user device 10. The person related to the user of the user device 10 is, for example, the user's family such as the user's child, the user's parent, and the user's spouse. The person related to the user of the user device 10 may be a user's partner such as a user's friend, a user's lover, or a user's pet.

For example, the estimation unit 134 identifies the age of the user of the user device 10 based on the demographic information acquired by the acquisition unit 132. In addition, the estimation unit 134 identifies the age of the user's child based on the demographic information acquired by the acquisition unit 132. In addition, the estimation unit 134 identifies diseases that may cause symptoms associated with the search query, based on the disease information acquired by the acquisition unit 132. In addition, the estimation unit 134 identifies the difference in age-related symptoms of the identified disease based on the disease information acquired by the acquisition unit 132. The estimation unit 134 then has symptoms related to the search query based on the age of the identified user, the age of the identified child, the identified disease, and the age difference of the identified symptom. Estimate the person.

For example, the estimation unit 134 specifies "35 to 49 years old" as the age of the user of the user device 10 based on the demographic information acquired by the acquisition unit 132. In addition, the estimation unit 134 specifies "6 years old or more and less than 18 years old" as the age of the user's child based on the demographic information acquired by the acquisition unit 132. Further, the estimation device 100 determines that the disease may cause a symptom (that is, bilateral headache) related to the search query "both sides of the head hurts" based on the disease information acquired by the acquisition unit 132. Identify "migraine". In addition, the estimation unit 134 is based on the disease information acquired by the acquisition unit 132, as a difference depending on the age of the symptom of the identified disease, "a piece of a child or adolescent (for example, a person aged 6 to 18 years old)" Headaches are more often bilateral migraine headaches than adult migraine headaches. " Then, the estimation unit 134 "the child of the user of the user device 10" based on the difference between the age of the specified user, the age of the specified child, the specified disease, and the age of the specified symptom. Is estimated as a person with symptoms associated with the search query "pain on both sides of the head".

Further, for example, the estimation unit 134 specifies "35 to 49 years old" as the age of the user of the user device 10 based on the demographic information acquired by the acquisition unit 132. In addition, the estimation unit 134 specifies "65 years old or older" as the age of the user's parent based on the demographic information acquired by the acquisition unit 132. Further, the estimation device 100 identifies "stroke" as a disease that may cause symptoms related to the search query "headache, nausea, dizziness" based on the disease information acquired by the acquisition unit 132. In addition, based on the disease information acquired by the acquisition unit 132, the estimation unit 134 determines that the age-related difference in the prevalence of the identified disease is that "stroke occurs in elderly people (for example, persons aged 65 or over). Identify the information that "often". Then, the estimation unit 134 "of the user of the user apparatus 10" based on the difference between the age of the specified user, the age of the specified parent, the specified disease, and the age of the specified morbidity. Estimate "parent" as a person with symptoms associated with the search query "headache, nausea, dizziness".

Further, for example, the estimation unit 134 identifies "male" as the gender of the user of the user device 10 based on the demographic information acquired by the acquisition unit 132. In addition, the estimation unit 134 identifies "female" as the gender of the user's companion based on the demographic information acquired by the acquisition unit 132. Further, the estimation device 100 uses the disease information acquired by the acquisition unit 132 as a disease that may cause symptoms related to the search query "swelling of the eyelids, faint voice, and dry skin". Identify "hypothyroidism". In addition, the estimation unit 134 has information that "hypothyroidism often develops in women" as a gender difference in the prevalence of the identified disease based on the disease information acquired by the acquisition unit 132. To identify. Then, the estimation unit 134 "the companion of the user device 10" based on the gender of the identified user, the gender of the identified companion, the identified disease, and the gender of the identified morbidity. Is presumed to be a person with symptoms associated with the search query "swelling of the eyelids, faint voice, dry skin".

The estimation unit 134 may estimate a person having a symptom related to the search query based on the family history information acquired by the acquisition unit 132.

For example, the estimation unit 134 may identify the medical history (for example, medical history) of the user's family based on the family history information acquired by the acquisition unit 132. Further, the estimation device 100 may identify a disease that may cause a symptom related to the search query based on the disease information acquired by the acquisition unit 132. Then, the estimation unit 134 may estimate as a person having a symptom related to the search query based on the identified medical history and the identified disease. For example, the estimation unit 134 may determine whether or not the user's family has a predetermined disease based on the identified medical history and the identified disease. If it is determined that the user's family has a predetermined disease, the estimation unit 134 may estimate the user's family as a person having symptoms related to the search query.

For example, the estimation unit 134 may specify information indicating "the user's child suffered from migraine" as the medical history of the user's child based on the family history information acquired by the acquisition unit 132. .. Further, the estimation device 100 identifies "migraine" as a disease that may cause symptoms related to the search query "pain on both sides of the head" based on the disease information acquired by the acquisition unit 132. May be good. Then, the estimation unit 134 has a symptom related to the search query "pain on both sides of the head" for "the child of the user of the user device 10" based on the medical history of the identified child and the identified disease. It may be estimated as a person. For example, the estimation unit 134 may determine whether or not the user's child has "migraine" based on the medical history of the identified child and the identified disease. When it is determined that the user's child has "migraine", the estimation unit 134 refers to "the user's child of the user device 10" as a person having symptoms related to the search query "both sides of the head hurts". You may estimate.

The estimation unit 134 is a user associated with the search query based on the demographic information acquired by the acquisition unit 132 and the usage of words and phrases corresponding to the search query received by the reception unit 133. A person who has a symptom related to a search query, which is a person related to the user, may be estimated.

For example, the reception unit 133 may receive the search query “headache” from the user device 10. In this case, the estimation unit 134 identifies the "child" as the family of the user of the user device 10 based on the demographic information acquired by the acquisition unit 132. Then, based on the usage of the phrase (for example, the usage of the suffix) corresponding to the search query "I have a headache" received by the reception unit 133, and the family of the identified user, the "user device" is used. "Children of 10 users" may be estimated as persons with symptoms associated with the search query "headache".

(Providing section 135)
The providing unit 135 provides information according to the relationship between the person estimated by the estimation unit 134 and the user associated with the search query as a response to the search query.

In one example, the providing unit 135 provides the user device 10 with the content corresponding to the estimation result by the estimation unit 134 as the first content. The first content provided includes a second content relating to the search results. The second content shows the search query and the search results associated with the inferred person. For example, the second content includes content titles related to "search query-related symptoms" and "estimated person attributes" and snippets of this content. When the user of the user device 10 selects the title of the content, the providing unit 135 provides the content corresponding to the selected title.

In one example, the providing unit 135 provides the user device 10 with contents such as a search and a portal (for example, a search page and a portal page). The providing unit 135 may provide the user device 10 with contents such as a search and a portal via an application (for example, a search application and a portal application). When the search query is input to the search box of the content such as the search or the portal, the providing unit 135 provides the user device 10 with the search result corresponding to the search query.

Provider 135 includes search, portal, shopping, auction, news, finance, travel, restaurant introduction, sports, TV, video, games, maps, route information, food, real estate, automobiles, blogs, marriage, cartoons, fortune-telling, Content such as regional information may be provided.

The providing unit 135 may provide the user device 10 with an advertisement (that is, advertisement content) according to the attributes of the person estimated by the estimating unit 134. For example, the providing unit 135 may provide the content according to the estimation result by the estimation unit 134, including the advertisement according to the attribute of the person estimated by the estimation unit 134.

For example, if the estimation unit 134 presumes that "the child of the user of the user device 10" is a person with symptoms associated with the search query "both sides of the head hurts", the providing unit 135 of the headache drug for the child. An advertisement (for example, an advertisement for a headache drug with a cute illustration) may be provided to the user device 10. On the other hand, when the estimation unit 134 estimates that the "user of the user device 10 (for example, a person aged 35 to 49 years old)" has a symptom related to the search query "pain on both sides of the head", the providing unit 135 May provide the user device 10 with an advertisement for a headache drug for adults.

(Proposal Department 136)
As will be described later, the proposal unit 136 proposes user input in order to estimate a person having a symptom associated with the search query. For example, the proposal unit 136 proposes user input based on the user information acquired by the acquisition unit 132.

[3. Estimate processing flow]
Next, the procedure of the estimation process by the estimation device 100 according to the embodiment will be described. FIG. 5 is a flowchart showing an estimation processing procedure by the estimation device 100 according to the embodiment.

As shown in FIG. 5, first, the estimation device 100 acquires the user information of the user (step S101).

For example, the estimation device 100 acquires attribute information indicating a user's attribute as user information.

Next, the estimation device 100 accepts the search query (step S102).

Next, the estimation device 100 estimates a person having a symptom related to the search query by using the received search query (step S103). For example, the estimation device 100 uses the received search query to estimate a person who has a symptom related to the search query and is a user associated with the search query or a person related to the user.

For example, the estimation device 100 uses the search query to determine whether the person having the symptom related to the search query is the user associated with the search query or a person different from this user and related to this user. To estimate.

Further, for example, the estimation device 100 estimates a person having a symptom related to the search query based on the acquired user information. For example, the estimation device 100 estimates a person who has a symptom related to the search query based on the user information of the user associated with the received search query among the acquired user information.

For example, the estimation device 100 estimates a person who has a symptom related to a search query based on the acquired attribute information.

For example, the estimation device 100 identifies the age of the user based on the attribute information, compares the identified age with the age corresponding to a disease that may cause symptoms related to the search query, and the comparison result. Estimate the person with the symptoms associated with the search query based on.

The estimation device 100 then provides information according to the relationship between the estimated person and the user associated with the search query as a response to the search query (step S104).

[4. Modification example]
The estimation device 100 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, in the following, another embodiment of the above estimation device 100 will be described.

[4-1. Person estimation using additional user input]
Proposal unit 136 may propose input for estimating a person who has a symptom associated with a search query. Further, the reception unit 133 may accept the input proposed by the proposal unit 136. In addition, the estimation unit 134 may estimate a person having a symptom related to the search query by using the input received by the reception unit 133 and the search query.

For example, when the search query is received by the reception unit 133, the proposal unit 136 may specify a person related to the user of the user device 10 based on the demographic information acquired by the acquisition unit 132. Then, the proposal unit 136 may display a drop-down list including one or a plurality of attributes related to the specified person as a suggestion on the user device 10. In this case, the reception unit 133 can receive information indicating the attributes of the person related to the user via the drop-down list. For example, the reception unit 133 can receive information indicating the attributes of a person related to the user from the user device 10 by asynchronous communication. In this way, Proposal Unit 136 may identify a person who has symptoms associated with a search query.

FIG. 6 is a diagram showing an example of estimation processing according to a modified example. The content C31 in FIG. 6 is the content provided by the providing unit 135. In the example of FIG. 6, the content C31 is shown as content such as a search or a portal. In the example of FIG. 6, the reception unit 133 receives the search query "headache" entered in the search box SB31 of the content C31 from the user device 10 by asynchronous communication. In the example of FIG. 6, when the search query “headache” is received by the reception unit 133, the proposal unit 136 relates to the user of the user device 10 based on the demographic information acquired by the acquisition unit 132. The "child of the user of the user device 10" is specified as the person who performs the demonstration. Then, the proposal unit 136 provides information indicating one or a plurality of attributes (for example, "child", "elementary school student", "truancy") related to the specified person "child of the user of the user device 10". It is transmitted to the user device 10 by asynchronous communication. In this way, the provider 135 drops down the content C32 including one or more attributes related to the identified person "children of the user of the user device 10" in the user device 10, and the content C31. It is displayed overlaid on.

In the example of FIG. 6, when the user of the user device 10 selects the search query "headache, child" included in the content C32, the estimation unit 134 searches for "the child of the user of the user device 10". Estimate as a person with symptoms associated with the query "headache". In this case, the providing unit 135 provides the user device 10 with the content C41 according to the estimation result by the estimation unit 134.

In the example of FIG. 6, the provided content C41 includes the content C42 relating to the search result. The content C42 shows the search results related to the search query "headache" and the presumed person "children of the user of the user device 10". For example, content C42 includes a title of content related to the symptom "headache" and the attribute "child" (eg, the title "child's headache") and a snippet of this content.

When the search query is received by the reception unit 133, the estimation unit 134 may identify the person having the symptom by confirming the person having the symptom related to the search query.

FIG. 7 is a diagram showing an example of estimation processing according to a modified example. The content C51 of FIG. 7 is the content provided by the providing unit 135. In the example of FIG. 7, the content C51 is shown as content such as a search or a portal. In the example of FIG. 7, the estimation device 100 receives the search query “headache” entered in the search box SB51 of the content C51 from the user device 10. In the example of FIG. 6, when the search query “headache” is received by the reception unit 133, the proposal unit 136 relates to the user of the user device 10 based on the demographic information acquired by the acquisition unit 132. Identify one or more people to do. Then, the providing unit 135 provides the user device 10 with the content C61 indicating the specified one or more persons.

In the example of FIG. 7, the provided content C61 includes content C62 for one or more identified persons. The content C62 includes a content item for accepting a person who has a symptom related to the search query "headache". In the example of FIG. 7, the content C62 indicates that the person having the symptom related to the search query "headache" is the "child of the user of the user device 10". Also, in the example of FIG. 7, the content C62 indicates that the person having the symptom related to the search query "headache" is not the "user of the user device 10 (ie, the user himself)".

In the example of FIG. 7, when the user of the user device 10 selects the button "research", the reception unit 133 tells that the person having the symptom related to the "search query" headache "is the" user device 10 ". Receive information indicating that you are a child of the user. Then, the estimation unit 134 identifies the "child of the user of the user device 10" as a person having a symptom related to the search query "headache" based on the information received by the reception unit 133. In this case, the providing unit 135 may provide the user device 10 with the content according to the specific result of the estimation unit 134.

In the example of FIG. 7, the provided content C61 includes content C63 relating to the search result. Content C63 shows search results related to the search query "headache". For example, content C63 includes a title of content related to the symptom "headache" (eg, title "stress and headache") and a snippet of this content.

[4-2. Person estimation using time series analysis of search queries]
The reception unit 133 may accept other search queries. In addition, the estimation unit 134 determines a person who has a symptom related to the search query based on the consistency between the other symptom related to the other search query received by the reception unit 133 and the symptom related to the search query. You may estimate.

For illustration purposes, it is assumed that the child of the user of user device 10 has told the user that he has a "headache". In this example, the user knows that the child has a "headache". However, in general, the user is unaware of other symptoms of the child. In this case, the user may be at a loss in determining the search query. If the user knows that the disease "stroke" can cause symptoms such as nausea in addition to the symptoms of headache, the user can find out if the child has a stroke. The search query "headache, nausea" may be entered in the search box for the content provided by the provider 135. In addition, the user may enter the search query "headache, no nausea" into the search box for the content provided by the provider 135.

Regarding the hesitation about the search query, for example, the estimation unit 134 may perform after the user of the user apparatus 10 inputs the search query based on the time series data of the search query and other search queries received by the reception unit 133. It may be determined whether the user has entered a search query related to the symptom opposite to the symptom associated with this search query. Then, the estimation unit 134 makes another based on whether or not the user of the user apparatus 10 inputs a search query and then the user inputs a search query related to a symptom opposite to the symptom related to the search query. It may be determined whether there is consistency between the symptoms associated with the search query and the symptoms associated with the search query. For example, if it is determined that the user has entered a search query that is related to a symptom opposite to that associated with this search query after the user has entered the search query, the estimation unit 134 is associated with another search query. It may be determined that there is an inconsistency between the symptoms that occur and the symptoms associated with the search query. On the other hand, when it is determined that the user of the user apparatus 10 has not input the search query related to the symptom opposite to the symptom related to the search query after inputting the search query, the estimation unit 134 It may be determined that there is consistency between other symptoms associated with other search queries and symptoms associated with search queries.

When it is determined that there is consistency between the other symptoms related to the other search query and the symptoms related to the search query, the estimation unit 134 sets the "user of the user device 10" into the search query. It may be presumed to be a person with associated symptoms.

If it is determined that there is an inconsistency between other symptoms related to the search query and the symptoms related to the search query, the estimation unit 134 refers to the person related to the user in the search query or other. It may be presumed to be a person with symptoms associated with the search query. The estimation unit 134 may estimate a person who has a symptom related to a search query or another search query among one or more persons related to the user based on the user information acquired by the acquisition unit 132. Good.

The providing unit 135 may confirm other symptoms of the user of the user apparatus 10 when the search query is received by the receiving unit 133. For example, the providing unit 135 provides the user device 10 with content indicating another symptom when the search query is received by the receiving unit 133. The reception unit 133 may receive information indicating that the user does not know whether or not the user has other symptoms through the content indicating other symptoms provided by the providing unit 135. When the reception unit 133 receives information indicating that the user does not know whether or not the user has other symptoms, the estimation unit 134 estimates the person related to the user as the person who has the symptoms related to the search query. May be good. The estimation unit 134 may estimate a person who has a symptom related to a search query among one or a plurality of people related to the user based on the user information acquired by the acquisition unit 132.

[4-3. Person estimation based on browsing history]
The estimation unit 134 may estimate a person having a symptom related to the search query based on the disease related to the content searched by the search query and viewed by the user associated with the search query.

For example, the reception unit 133 may receive the search query “headache” from the user device 10. In this case, the estimation unit 134 may specify the "child" as the family of the user of the user device 10 based on the demographic information acquired by the acquisition unit 132. Then, the estimation unit 134 is searched by the search query received by the reception unit 133, and the user identified as the disease "pediatric migraine" related to the content browsed by the user (for example, the content related to the headache of a child). The "child of the user of the user device 10" may be presumed as a person with symptoms associated with the search query "headache" based on the family of the user device 10.

[4-4. Others]
Further, among the processes described in the above-described embodiment, a part of the processes described as being automatically performed can also be manually performed. Alternatively, all or part of the process described as being performed manually can be performed automatically by a known method. In addition, the processing procedure, specific name, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of the device is functionally or physically distributed / physically in arbitrary units according to various loads and usage conditions. It can be integrated and configured.

For example, a part or all of the storage unit 120 shown in FIG. 3 may not be held by the estimation device 100, but may be held by a storage server or the like. In this case, the estimation device 100 acquires various information such as user information by accessing the storage server.

[4-5. Hardware configuration]
Further, the estimation device 100 according to the above-described embodiment is realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 8 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to the output device 1010 and the input device 1020, and the arithmetic unit 1030, the primary storage device 1040, the secondary storage device 1050, the output IF (Interface) 1060, the input IF 1070, and the network IF 1080 are connected by the bus 1090. Has.

The arithmetic unit 1030 operates based on a program stored in the primary storage device 1040 or the secondary storage device 1050, a program read from the input device 1020, or the like, and executes various processes. The primary storage device 1040 is a memory device such as a RAM that temporarily stores data used by the arithmetic unit 1030 for various calculations. Further, the secondary storage device 1050 is a storage device in which data used by the calculation device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), an HDD, a flash memory, or the like.

The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various information such as a monitor and a printer. For example, USB (Universal Serial Bus), DVI (Digital Visual Interface), and the like. It is realized by a standard connector such as HDMI (registered trademark) (High Definition Multimedia Interface). Further, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, a keyboard, and a scanner, and is realized by, for example, USB.

The input device 1020 is, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), or a tape. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like. Further, the input device 1020 may be an external storage medium such as a USB memory.

The network IF1080 receives data from another device via the network N and sends it to the arithmetic unit 1030, and also transmits the data generated by the arithmetic unit 1030 to the other device via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040, and executes the loaded program.

For example, when the computer 1000 functions as the estimation device 100, the arithmetic unit 1030 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the primary storage device 1040.

[5. effect〕
As described above, the estimation device 100 according to the embodiment has a reception unit 133 and an estimation unit 134. The reception unit 133 accepts a search query. The estimation unit 134 estimates a person having a symptom related to the search query by using the search query received by the reception unit 133.

Further, in the estimation device 100 according to the embodiment, the estimation unit 134 uses the search query, and the person having the symptom related to the search query is the user associated with the search query or a person different from this user. To estimate whether the person is related to this user.

Further, the estimation device 100 according to the embodiment has a provision unit 135 that provides information according to the relationship between the person estimated by the estimation unit 134 and the user associated with the search query as a response to the search query.

In addition, the estimation device 100 according to the embodiment has an acquisition unit 132 that acquires user information of the user associated with the search query received by the reception unit 133. Further, in the estimation device 100 according to the embodiment, the estimation unit 134 estimates a person having a symptom related to the search query based on the user information acquired by the acquisition unit 132.

Further, in the estimation device 100 according to the embodiment, the acquisition unit 132 acquires the attribute information indicating the user's attribute as the user information. Further, in the estimation device 100 according to the embodiment, the estimation unit 134 estimates a person having a symptom related to the search query based on the attribute information acquired by the acquisition unit 132.

Further, in the estimation device 100 according to the embodiment, the estimation unit 134 identifies the age of the user based on the attribute information, and corresponds to the specified age and a disease that may cause a symptom related to the search query. Estimate the person with the symptoms associated with the search query based on the comparison results.

Further, in the estimation device 100 according to the embodiment, the acquisition unit 132 acquires family history information indicating the user's family history as user information. Further, in the estimation device 100 according to the embodiment, the estimation unit 134 estimates a person having a symptom related to the search query based on the family history information acquired by the acquisition unit 132.

Further, in the estimation device 100 according to the embodiment, the reception unit 133 accepts another search query. Further, in the estimation device 100 according to the embodiment, the estimation unit 134 searches based on the consistency between the other symptoms related to the other search query received by the reception unit 133 and the symptoms related to the search query. Estimate who has the symptoms associated with the query.

Further, in the estimation device 100 according to the embodiment, the estimation unit 134 has a symptom related to the search query based on a disease related to the content searched by the search query and viewed by the user associated with the search query. Estimate the person.

In addition, the estimation device 100 according to the embodiment has a proposal unit 136 that proposes an input for estimating a person having a symptom related to a search query. Further, in the estimation device 100 according to the embodiment, the reception unit 133 receives the input proposed by the proposal unit 136. Further, in the estimation device 100 according to the embodiment, the estimation unit 134 estimates a person having a symptom related to the search query by using the input received by the reception unit 133 and the search query.

Further, in the estimation device 100 according to the embodiment, when the search query is received by the reception unit 133, the estimation unit 134 identifies the person who has the symptom by confirming the person who has the symptom related to the search query. To do.

By each of the above-mentioned processes, the estimation device 100 can provide appropriate information for a person having a symptom.

Although some of the embodiments of the present application have been described in detail with reference to the drawings, these are examples, and various modifications are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. It is possible to carry out the present invention in other improved forms.

Further, the estimation device 100 described above may be realized by a plurality of server computers, and depending on the function, an external platform or the like may be called by API (Application Programming Interface), network computing, or the like to realize the configuration. Can be changed flexibly.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the receiving unit can be read as a receiving means or a receiving circuit.

1 Estimating system 10 User device 100 Estimating device 110 Communication unit 120 Storage unit 121 User information storage unit 130 Control unit 131 Reception unit 132 Acquisition unit 133 Reception unit 134 Estimating unit 135 Providing unit 136 Proposal unit

Claims (13)

The reception department that accepts search queries and
Using the search query received by the reception unit, an estimation unit that estimates a person having a symptom related to the search query, and an estimation unit.
An estimation device characterized by comprising. The estimation unit
Using the search query, it is estimated whether the person having the symptom related to the search query is the user associated with the search query or a person different from the user and related to the user. The estimation device according to claim 1. Claim 1 or 2, further comprising a providing unit that provides information according to the relationship between the person estimated by the estimating unit and the user associated with the search query as a response to the search query. The estimated device described. Further provided with an acquisition unit for acquiring user information of the user associated with the search query received by the reception unit.
The estimation unit
The estimation device according to any one of claims 1 to 3, wherein a person having a symptom related to the search query is estimated based on the user information acquired by the acquisition unit. The acquisition unit
As the user information, the attribute information indicating the attribute of the user is acquired.
The estimation unit
The estimation device according to claim 4, wherein a person having a symptom related to the search query is estimated based on the attribute information acquired by the acquisition unit. The estimation unit
Based on the attribute information, the age of the user is identified, the identified age is compared with the age corresponding to the disease that may cause the symptoms associated with the search query, and based on the comparison result, The estimation device according to claim 5, wherein a person having a symptom related to the search query is estimated. The acquisition unit
As the user information, the family history information indicating the family history of the user is acquired, and
The estimation unit
The estimation device according to any one of claims 4 to 6, wherein a person having a symptom related to the search query is estimated based on the family history information acquired by the acquisition unit. The reception department
Accept other search queries,
The estimation unit
It is characterized in that a person having a symptom related to the search query is estimated based on the consistency between the other symptom related to the other search query received by the reception unit and the symptom related to the search query. The estimation device according to any one of claims 1 to 7. The estimation unit
Claims 1 to the estimation of a person having a symptom related to the search query based on a disease related to the content searched by the search query and viewed by the user associated with the search query. The estimation device according to any one of 8. Further provided with a suggestion section that proposes inputs for estimating a person with symptoms associated with the search query.
The reception department
Accepting the input proposed by the proposal department,
The estimation unit
The estimation according to any one of claims 1 to 9, wherein a person having a symptom related to the search query is estimated by using the input received by the reception unit and the search query. apparatus. The estimation unit
Any of claims 1 to 10, wherein when a search query is received by the reception unit, the person having the symptom is identified by confirming the person having the symptom related to the search query. The estimation device according to one. An estimation method performed by a computer
The reception process that accepts search queries and
Using the search query received by the reception process, an estimation process for estimating a person having a symptom related to the search query, and an estimation process.
An estimation method characterized by including. The reception procedure for accepting search queries and
Using the search query received by the reception procedure, an estimation procedure for estimating a person having a symptom related to the search query, and an estimation procedure.
An estimation program characterized by having a computer execute.

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