JP2024000315A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device, an information processing method, and an information processing program capable of proposing an item further comfortable to a user.

SOLUTION: An information processing device according to the present application includes an environment information acquisition unit, an image information acquisition unit and a providing unit. The environment information acquisition unit acquires environment information including weather information. The image information acquisition unit acquires image information being information on a photographed image of a person wearing an item corresponding to the environment information, acquired by the environment information acquisition unit, on the basis of the environment information. The providing unit provides the image information acquired by the image information acquisition unit as information to be displayed together with the weather information.

SELECTED DRAWING: Figure 4

COPYRIGHT: (C)2024,JPO&INPIT

Description

Application filed for application of Article 30, Paragraph 2 of the Patent Act Published on March 15, 2020 Address: https://appstoreconnect. apple. com/apps/521974902/appstore/ios/version/deliverable Address published on March 22, 2020 https://apps. apple. com/jp/app/yahoo-%E5%A4%A9%E6%B0%97/id521974902

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

2. Description of the Related Art Conventionally, techniques for suggesting clothing for going out are known. For example, Patent Document 1 discloses a technique for suggesting clothing to a user based on clothing information corresponding to information on the user's destination.

JP2021-081935A

However, although the technology described in Patent Document 1 can suggest clothing appropriate for the destination, it is desirable to suggest items such as more comfortable clothing to the user, and in this respect, improvements can be made. There's room.

The present application has been made in view of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can propose more comfortable items to users.

The information processing device according to the present application includes an environmental information acquisition section, an image information acquisition section, and a provision section. The environmental information acquisition unit acquires environmental information including information regarding the weather. The image information acquisition unit acquires image information, which is information about a captured image of a person wearing an item corresponding to the environmental information, based on the environmental information acquired by the environmental information acquisition unit. The providing unit provides the image information acquired by the image information acquiring unit as information to be displayed together with weather-related information.

According to one aspect of the embodiment, more comfortable items can be suggested to the user.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of the information providing system according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of the terminal device according to the embodiment. FIG. 4 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. FIG. 5 is a diagram illustrating an example of a user information table stored in the user information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a thick clothing index related information table stored in the index related information storage unit according to the embodiment. FIG. 7 is a diagram illustrating an example of weather content provided by the information processing device according to the embodiment. FIG. 8 is a diagram illustrating another example of weather content provided by the information processing device according to the embodiment. FIG. 9 is a flowchart illustrating an example of information processing by the processing unit of the information processing apparatus according to the embodiment. FIG. 10 is a flowchart illustrating an example of content provision processing by the processing unit of the information processing apparatus according to the embodiment. FIG. 11 is a diagram showing another example of the configuration of the terminal device according to the embodiment. FIG. 12 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device according to the embodiment.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Below, an information processing apparatus, an information processing method, and a form for implementing an information processing program (hereinafter referred to as an "embodiment") according to the present application will be described in detail with reference to the drawings. Note that the information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Moreover, each embodiment can be combined as appropriate within the range that does not conflict with the processing contents. Further, in each of the embodiments below, the same parts are given the same reference numerals, and redundant explanations will be omitted.

[1. An example of information processing]
First, an example of information processing according to the embodiment will be described using FIG. 1. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment.

The information processing device 1 shown in FIG. 1 provides content related to the portal site to the user U of the terminal device 2. The information processing device 1 shown in FIG. The content related to the portal site includes weather content that is content related to the weather. Further, the content related to the portal site may include content related to a web search site, a news site, a map providing site, an SNS site, and the like.

As shown in FIG. 1, the information processing device 1 acquires environmental information from the server 3, which functions as an environmental information providing device that provides environmental information including information regarding the weather (step S1). The environmental information includes information regarding the weather in each region. The information regarding the weather includes information indicating the current weather and information indicating the predicted weather situation.

Further, the information processing device 1 obtains image information, which is information about captured images, from the server 4 having a function as an image information providing device (step S2). The server 4 is an information processing device that provides, for example, a shopping site, an auction site, a flea market site, a posting site, etc., and provides the information processing device 1 with image information provided by each site.

The image information provided from the server 4 to the information processing device 1 is information on a captured image of a person wearing the item. Items worn by the person include, for example, clothes, shoes, hats, arm covers, and sunglasses. The server 4 provides the information processing device 1 with image information including information on a plurality of captured images of people wearing different items.

In addition to the information indicating the captured image, the image information provided from the server 4 to the information processing device 1 includes, for example, information indicating the type of item included in the captured image, information indicating the attributes of the person included in the captured image, Additional information is included, such as information indicating the capturing position and date and time of the captured image, and information indicating the attributes (for example, age and gender) of the person included in the captured image.

The information processing device 1 stores the environmental information acquired from the server 3 in step S1 and the image information acquired from the server 4 in step S2 in an internal storage unit (step S3).

Subsequently, the information processing device 1 receives a content request transmitted from the terminal device 2 (step S4). The content request is a request to send weather content. In addition to weather-related information, the weather content includes image information that is information about a captured image of a person wearing an item according to the weather-related information.

The content request includes information indicating the designated area and information for identifying user U. The designated area is an area specified by user U. Note that if the information indicating the designated area is set in advance in the information processing device 1 by the user U, the content request does not need to include the information indicating the designated area.

Subsequently, the information processing device 1 obtains environmental information including information regarding the weather in the designated area indicated by the content request from the internal storage unit (step S5). In step S5, if the content request does not include information on the designated region, the information processing device 1 internally transmits environmental information including information regarding the weather in the designated region based on information indicating the designated region that has been set in advance. Retrieved from the storage section of.

Next, based on the environmental information acquired in step S5, the information processing device 1 acquires image information, which is information about a captured image of a person wearing an item corresponding to the environmental information, from the internal storage unit ( Step S6). The item corresponding to the environmental information is, for example, an item corresponding to an index according to at least one of the current weather and the predicted weather situation. Furthermore, the image information acquired in step S6 does not include some or all of the additional information described above, but is not limited to such an example.

The index according to at least one of the current weather and predicted weather conditions is a thick-wearing index indicating the recommended degree of heavy-wearing. The thick-wearing index increases as the recommended degree of thick-wearing increases, but is not limited to this example. For example, the thick-wearing index may be an index whose value decreases as the recommended degree of thick-wearing increases.

The information processing device 1 calculates the thick clothing index based on the environmental information, but if the environmental information acquired from the server 3 includes information indicating the thick clothing index, the information processing device 1 may also acquire the information indicating the thick clothing index from the environmental information. can.

Furthermore, items corresponding to the environmental information include, for example, items corresponding to a solar radiation index that is an index according to at least one of the current amount of solar radiation and the predicted amount of solar radiation. The solar radiation index increases in value as the amount of solar radiation increases, but is not limited to this example. For example, the solar radiation index may be an index whose value decreases as the amount of solar radiation increases.

The information processing device 1 has index-related information indicating the type of item for each index value or value range, and based on this index-related information, corresponds to the heavy clothing index and solar radiation index of the specified area. Image information, which is information about a captured image of a person wearing the item, is acquired from an internal storage unit.

For example, it is assumed that the thick clothing index is shown in a range of 0 to 100, that the thick clothing index of the designated area is 10, and that the type of item with the heavy clothing index of "10" is "T-shirt/cut-and-sew." In this case, the information processing device 1 acquires image information of a person wearing a "T-shirt" or a "cut-and-sew" from an internal storage unit.

Further, the information processing device 1 assumes that the solar radiation index is shown in a range of 0 to 100, that the solar radiation index of the designated area is 50, and that the type of item with the solar radiation index of "50" is "hat." In this case, the information processing device 1 acquires image information of a person wearing a "hat" from the internal storage unit in addition to the item corresponding to the thick clothing index.

Further, it is assumed that the solar radiation index of the specified area is 100, and the types of items with the solar radiation index of "100" are "hat," "sunglasses," and "arm cover." In this case, the information processing device 1 acquires image information of a person wearing a "hat," "sunglasses," and "arm cover," in addition to the items corresponding to the heavy clothing index, from the internal storage unit.

In the process of step S6, the information processing device 1 randomly selects information about one or more captured images from among a plurality of captured images each showing a captured image of a person wearing an item corresponding to the environmental information as a first image. Obtain as information. Below, the captured image indicated by the first image information may be referred to as a first captured image.

In addition, in the process of step S6, the information processing device 1 selects one or more captured images that satisfy a predetermined condition from among the plurality of captured images, each of which is a captured image of a person wearing an item corresponding to the environmental information. Information about the image is further acquired as second image information that is displayed together with the first captured image and is information about a captured image smaller in size than the first captured image. Below, the captured image indicated by the second image information may be referred to as a second captured image.

The predetermined conditions include, for example, conditions according to the information of the user U to whom the image information is provided, conditions according to the captured image, and the like. The information about the user U includes information indicating the type of item owned by the user U, information indicating the user U's preferences for items, information indicating the attributes of the user U, and the like. In the following, the image information provider may be referred to as the information provider.

For example, the information processing device 1 prioritizes information on one or more captured images according to the information of the user U from among the plurality of captured images and acquires the information as the second image information. For example, the information processing device 1 prioritizes information on a captured image of a person wearing an item corresponding to the type of item owned by the user U from among a plurality of captured images, and acquires the information as the second image information. . Thereby, the user U can easily find an item to wear from among the items he/she owns that are appropriate for the weather.

Furthermore, the information processing device 1 can prioritize information on a captured image of a person wearing an item that corresponds to the user U's preference from among the plurality of captured images, and acquire the information as the second image information. Thereby, the user U can know which items are weather-appropriate and match the user's preferences.

Furthermore, information on one or more captured images that corresponds to conditions corresponding to the captured images can be given priority and acquired as the second image information from among the plurality of captured images. Conditions depending on the captured image include, for example, conditions related to the recency of the captured image, conditions related to the evaluation of the captured image, conditions related to at least one of the region and weather at the time the captured image was captured, and conditions related to the capturing of the captured image. conditions regarding the age of the person included in the captured image at the time.

For example, as a condition regarding the recency of the imaging date and time of the captured image, the information processing device 1 prioritizes information on one or more captured images in the order of newest from among a plurality of captured images as the second image information. get. Thereby, the user U can learn about new coordination items that are weather-appropriate items.

Further, as a condition regarding the evaluation of the captured images, the information processing device 1 prioritizes information on one or more captured images in the order of the highest evaluation among the plurality of captured images, and acquires the information as second image information. The evaluation of the captured image is, for example, a positive evaluation on a shopping site. Positive evaluations include the number of presses of an OK button (for example, like button) and the number of positive comments for the captured image, but also include the ratio of the number of presses of the OK button to the total number of presses of the OK button and NG button. It may be.

Furthermore, the information processing device 1 gives priority to information of one or more captured images in which at least one of the designated region and the weather of the designated region matches or is similar to the region and weather at the time the captured image was captured. It can also be acquired as second image information. Thereby, the information processing device 1 can suggest more comfortable items to the user U according to the weather.

Furthermore, the information processing device 1 preferentially acquires, as second image information, information on one or more captured images in which the age of the user U who is the information provider and the age of the person at the time of image capture match or are similar. Thereby, the information processing device 1 can suggest more comfortable items to the user U according to the weather and the age of the user U.

In addition, the information processing device 1 calculates the score of each captured image by weighting according to the information of the user U who is the information provider and weighting according to the captured image, and selects up to a predetermined number of the highest calculated scores. Information on the captured image can also be acquired as second image information.

Subsequently, the information processing device 1 generates weather content including the weather forecast information for the specified area included in the environmental information acquired in step S5 and the image information acquired in step S6 (step S7). The information processing device 1 then provides the weather content to the user U by transmitting the weather content generated in step S7 to the terminal device 2 (step S8). Thereby, more comfortable items are suggested to the user U.

The weather content shown in FIG. 1 includes weather information including information related to the weather, a first captured image, a plurality of second captured images, information indicating a thick clothing index, information on an index telop, link buttons, and the like.

The weather information shown in FIG. 1 includes information indicating the current weather in a designated area (for example, information on temperature, humidity, atmospheric pressure, etc.). Note that the weather information may include weather forecast information that is the predicted weather situation of the designated area instead of or in addition to the current weather information that shows the current weather of the designated area.

In the weather content shown in Figure 1, the thick clothing index is 60%, and three of the five indicator icons are highlighted. % can be easily understood. With such an indicator icon, the user U can easily understand how thickly he/she should wear clothes. Note that the thick clothing index may be indicated by a level meter or the like instead of the index icon.

Further, in the weather content shown in FIG. 1, text information such as "It's safe to wear something like a jacket" is shown as information in the index telop. The user U can easily understand how thickly he/she should wear clothes based on the information on the index telop.

Further, in the weather content shown in FIG. 1, a link button is shown, and by selecting (for example, tapping) the link button, the user U can receive information about the weather in the specified area from the information processing device 1 or the server 4. Information on the captured image of the person wearing the item can also be displayed on the terminal device 2.

In this way, the information processing device 1 acquires environmental information including information regarding the weather, and based on the acquired environmental information, generates image information that is information of a captured image of a person wearing an item corresponding to the environmental information. get. The information processing device 1 then provides the acquired image information as information displayed together with information regarding the weather. Thereby, the information processing device 1 can suggest more comfortable items to the user U.

Note that the weather content may be displayed by processing mainly performed by the terminal device 2, and the information processing device 1 displays the weather content based on information input from the terminal device 2 through an interface such as an API (Application Programming Interface). may be displayed. Further, although FIG. 1 shows a case where the terminal device 2 and the information processing device 1 are separate devices, the terminal device 2 and the information processing device 1 may be integrated.

Hereinafter, the configuration of the information providing system including the information processing device 1, the terminal device 2, and the servers 3 and 4 that perform such processing will be described in detail.

[2. Information provision system configuration]
FIG. 2 is a diagram illustrating an example of the configuration of the information providing system according to the embodiment. As shown in FIG. 2, the information providing system 100 according to the embodiment includes an information processing device 1, a plurality of terminal devices 2, and servers 3 and 4.

The information processing device 1, the terminal device 2, and the servers 3 and 4 are connected to each other via a network N so that they can communicate with each other by wire or wirelessly. Note that the information providing system 100 shown in FIG. 2 may include a plurality of each of the information processing device 1 and the servers 3 and 4.

The terminal device 2 is, for example, a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a smartphone, a mobile phone, a PDA (Personal Digital Assistant), or the like. Note that the terminal device 2 is not limited to the example described above, and may be, for example, a smart watch or a wearable device.

The server 3 is a server that functions as an environmental information providing device that provides environmental information including information regarding the weather. The environmental information includes information regarding the weather in each region. The weather-related information includes information indicating the current weather and information indicating the predicted weather situation. Weather is a meteorological state, and the weather state includes, for example, the state of weather-related elements such as temperature, humidity, solar radiation, wind, cloud cover, visibility, rain, snow, and lightning. The information indicating the predicted weather situation is weather forecast information.

The server 4 has a function as an image information providing device that provides image information that is information about captured images. The server 4 is an information processing device that provides, for example, a shopping site, an auction site, a flea market site, a posting site, etc., and provides the information processing device 1 with image information provided by each site. The image information provided on each site is information on captured images posted by sellers, exhibitors, etc., but may also be information on captured images posted by contributors other than sellers and exhibitors.

In addition to the information indicating the captured image, the image information provided from the server 4 to the information processing device 1 includes, for example, information indicating the type of item included in the captured image, information indicating the attributes of the person included in the captured image, Additional information is included, such as information indicating the capturing position and date and time of the captured image, and information indicating the attributes (for example, age and gender) of the person included in the captured image.

[3. Terminal device 2]
FIG. 3 is a diagram showing an example of the configuration of the terminal device 2 according to the embodiment. As shown in FIG. 3, the terminal device 2 according to the embodiment includes a communication section 10, a display section 11, an operation section 12, a sensor group 13, a storage section 14, and a processing section 15.

[3.1. Communication department 10]
The communication unit 10 is realized by, for example, a NIC (Network Interface Card). The communication unit 10 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the information processing device 1 via the network N.

[3.2. Display section 11]
The display unit 11 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence) display.

[3.3. Operation unit 12]
The operation unit 12 includes, for example, a keyboard including keys for inputting letters, numbers, and spaces, an enter key, and arrow keys, a mouse, a power button, and the like. When the display unit 11 is a touch panel compatible display, the operation unit 12 includes a touch panel.

[3.4. Sensor group 13]
The sensor group 13 includes, for example, a positioning sensor, an acceleration sensor, a gyro sensor, an image sensor, and the like. The positioning sensor is a sensor that detects the position of the terminal device 2. The acceleration sensor is a sensor that detects the acceleration of the terminal device 2. The gyro sensor is a sensor that detects postures such as tilt and rotation of the terminal device 2. The image sensor is a sensor that captures an image of the surroundings of the terminal device 2.

[3.5. Storage unit 14]
The storage unit 14 is realized by, for example, a semiconductor memory element 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 14 stores, for example, information transmitted from the information processing device 1 and acquired by the processing unit 15 via the network N and the communication unit 10, and detection information that is information detected by the sensor group 13. .

[3.6. Processing unit 15]
The processing unit 15 is a controller, and various programs stored in the storage device inside the terminal device 2 use the RAM as a work area by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). This is achieved through execution. The processing unit 15 may be partially or entirely realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The processing section 15 includes an information acquisition section 16, a display processing section 17, and an information output section 18.

[3.6.1. Information acquisition unit 16]
The information acquisition unit 16 acquires various contents transmitted from the information processing device 1 and received by the communication unit 10 via the network N. The content transmitted from the information processing device 1 is, for example, the weather content described above.

[3.6.2. Display processing unit 17]
The display processing unit 17 causes the display unit 11 to display the information acquired by the information acquisition unit 16. For example, the display processing unit 17 causes the display unit 11 to display the content acquired by the information acquisition unit 16.

[3.6.3. Information output unit 18]
The information output unit 18 transmits operation information, which is information corresponding to an operation on the operation unit 12 by the user U, to the information processing device 1 via the communication unit 10, for example. Further, the information output unit 18 transmits detection information, which is information detected by the sensor group 13, to the information processing device 1 via the communication unit 10.

[4. Configuration of information processing device 1]
FIG. 4 is a diagram showing an example of the configuration of the information processing device 1 according to the embodiment. As shown in FIG. 4, the information processing device 1 includes a communication section 20, a storage section 21, and a processing section 22.

[4.1. Communication department 20]
The communication unit 20 is realized by, for example, a NIC. The communication unit 20 is connected to the network N by wire or wirelessly, and transmits and receives information to and from various other devices. For example, the communication unit 20 transmits and receives information to and from the terminal device 2 via the network N.

[4.2. Storage unit 21]
The storage unit 21 is realized by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 21 includes a user information storage unit 30 , an index related information storage unit 31 , an environment information storage unit 32 , and an image information storage unit 33 .

[4.2.1. User information storage unit 30]
The user information storage unit 30 stores various information regarding the user U. FIG. 5 is a diagram showing an example of a user information table stored in the user information storage unit 30 according to the embodiment. In the example shown in FIG. 5, the user information table stored in the user information storage unit 30 includes information on items such as "user ID,""attributeinformation," and "history information."

“User ID” is an identifier that identifies user U. "Attribute information" is attribute information regarding the attributes of the user U associated with the "user ID." The attributes of the user U are, for example, demographic attributes, psychographic attributes, and the like. Demographic attributes are demographic attributes, such as age, gender, occupation, place of residence, annual income, and family structure. Psychographic attributes are psychological attributes, such as lifestyle, values, and interests.

"History information" is history information that includes information such as service usage history, and includes, for example, user U's payment history information, user U's search history information, user U's browsing history information, and user U's browsing history information. Contains setting history information, etc.

User U's payment history information includes purchase history information regarding products that User U purchased online, at a physical store, or at a physical facility using a payment service; , service usage history information regarding services used for a fee at actual facilities, etc.

The purchase history information includes information on products purchased by user U, purchase cost information, purchase date and time, purchase store information, and the like. The service usage history information includes information on services used by user U, information on usage fees, date and time of usage, information on stores used, and the like.

The search history information of the user U is, for example, information on the search history of web content on search sites, information on the search history on various websites, and the like. User U's browsing history information includes information on user U's browsing history of product information on each site. The setting information of the user U is information set in the information processing device 1 by the user U, and includes, for example, information on a designated area.

In the example shown in FIG. 5, the user U with the user ID "U1" has the attribute information "CH1" and the history information "PH1", and the user U with the user ID "U2" has the attribute information "CH1" and the history information "PH1". The information is "CH2" and the history information is "PH2". Further, for the user U with the user ID "U3", the attribute information is "CH3" and the history information is "PH3".

In the example shown in Figure 5, attribute information and history information are expressed using abstract codes such as "CH1" to "CH3" and "PH1" to "PH3," but attribute information and history information are , for example, text data or file format data. Further, the user information storage unit 30 is not limited to the above, and may store various information depending on the purpose.

[4.2.2. Index related information storage unit 31]
The index related information storage unit 31 stores index related information that is information on items related to indexes. The index related information includes a heavy clothing index related information table that is information related to the heavy clothing index, a solar radiation index related information table that is information related to the solar radiation index, and the like.

FIG. 6 is a diagram showing an example of a thick clothing index related information table stored in the index related information storage unit 31 according to the embodiment. In the example shown in FIG. 6, the heavy clothing index related information table stored in the index related information storage unit 31 includes information on items such as "heavy clothing index", "index telop", and "item type".

"Thick clothing index" is information indicating the thick clothing index. The thickness index is a value indicating the recommended degree of thickness, and is expressed within the range of 0 to 100, for example. In the example shown in FIG. 6, the thickness index is shown in 11 levels in the range of 0 to 100, separated by 10.

The "index telop" is information on a character string associated with the value of the thick clothing index. “Item type” is information indicating the type of item associated with the value of the thick clothing index.

In Figure 6, when the thick clothing index is "0", the index caption is "Beat the heat with breathable clothes" and the item types are "T-shirt/cut and sewn", "tank top", and "tube top". It is. Furthermore, for the thick clothing index "10", the index caption is "midsummer clothes such as T-shirts" and the item type is "T-shirt/cut and sewn".

In addition, for the thick clothing index "20", the index caption is "You can stay comfortably in one short sleeve" and the item type is "Polo shirt". Furthermore, for the thick clothing index "30", the index caption is "short sleeves are recommended for those who are sensitive to heat", and the item types are "polo shirt" and "shirt/blouse".

In the example shown in FIG. 6, the type of tops (upper garments) is shown as the "item type" in the thick clothing index related information table, but instead of or in addition to the type of tops (upper garments), bottoms (lower garments) are indicated. ) type and shoe type may also be included.

Further, the solar radiation index related information table stored in the index related information storage unit 31 includes information on items such as "solar radiation index", "index telop", and "item type". "Solar radiation index" is information indicating a solar radiation index, and the solar radiation index becomes a larger value as the amount of solar radiation increases.

The "index telop" is information on a character string associated with a solar radiation index. "Item type" is information indicating the type of item associated with the solar radiation index. In the solar radiation index related information table, for example, when the solar radiation index is 50, the item type is "hat", and when the solar radiation index is 100, the item types are "hat", "sunglasses", and "arm cover". Suppose that

Note that the solar radiation index related information table may include hat type, sunglass type, arm cover type, etc. instead of "hat", "sunglasses", and "arm cover". Furthermore, the index related information storage section 31 is not limited to the above, and may store various information depending on the purpose.

Furthermore, in the heavy clothing index related information table, instead of each thick clothing index value, "index telop" and "item type" may be associated with each thick clothing index value range. Similarly, in the solar radiation index related information table, instead of each solar radiation index value, "index telop" and "item type" may be associated with each solar radiation index value range.

[4.2.3. Environmental information storage unit 32]
The environmental information storage unit 32 stores environmental information acquired by the processing unit 22 from the server 3 via the communication unit 20. The environmental information stored in the environmental information storage section 32 includes information regarding the weather in each region. The weather-related information includes information indicating the current weather and information indicating the predicted weather situation.

Further, the environmental information stored in the environmental information storage unit 32 includes information indicating a thick clothing index and information on a solar radiation index. The information indicating the thick clothing index is information on the index depending on at least one of the current weather and the predicted weather situation. The information on the solar radiation index is information on an index according to at least one of the current amount of solar radiation and the predicted amount of solar radiation.

[4.2.4. Image information storage unit 33]
The image information storage unit 33 stores image information acquired by the processing unit 22 from the server 4 via the communication unit 20. The image information stored in the image information storage unit 33 includes information indicating the captured image, information indicating the type of item included in the captured image, information indicating the attributes of the person included in the captured image, the imaging position of the captured image, and the information indicating the type of item included in the captured image. Additional information such as information indicating the imaging date and time, information indicating the attributes of the person included in the captured image (for example, age and gender), and keyword information is included.

[4.3. Processing unit 22]
The processing unit 22 is a controller, and various programs (an example of an information processing program) stored in a storage device (for example, the storage unit 21) inside the information processing device 1 are stored in a RAM by a processor such as a CPU or an MPU. This is achieved by executing this as a work area. Further, the processing unit 22 may be partially or entirely realized by an integrated circuit such as an ASIC or an FPGA.

As shown in FIG. 4, the processing unit 22 includes an acquisition unit 40, a reception unit 41, a generation unit 42, and a provision unit 43, and realizes or executes information processing functions and operations described below. . Note that the internal configuration of the processing unit 22 is not limited to the configuration shown in FIG. 4, and may be any other configuration as long as it performs information processing to be described later.

[4.3.1. Acquisition unit 40]
The acquisition unit 40 acquires various information. The acquisition unit 40 acquires various information from the storage unit 21. The acquisition unit 40 acquires various information from the user information storage unit 30, the index related information storage unit 31, the image information storage unit 33, the environment information storage unit 32, and the like.

The acquisition unit 40 receives various information from an external information processing device via the communication unit 20. The acquisition unit 40 receives various information from the terminal device 2, external device, server 3, or server 4.

The acquisition unit 40 acquires user information from an external device and stores the acquired user information in the user information storage unit 30. For example, the acquisition unit 40 acquires user information from an external device every predetermined period, and updates the user information stored in the user information storage unit 30.

The acquisition unit 40 also includes an environment information acquisition unit 44 that acquires environmental information from the server 3 and an image information acquisition unit 45 that acquires image information from the server 4, as shown in FIG.

[4.3.1.1. Environmental information acquisition unit 44]
The environmental information acquisition unit 44 acquires environmental information including information regarding the weather from the server 3 and stores the acquired environmental information in the environmental information storage unit 32. For example, the environmental information acquisition unit 44 acquires environmental information from the server 3 at predetermined intervals, and stores the acquired environmental information in the environmental information storage unit 32.

If the environmental information acquired from the server 3 does not include the information indicating the heavy clothing index and the information on the solar radiation index, the environmental information acquisition unit 44 determines whether to wear heavy clothing based on the weather-related information included in the environmental information acquired from the server 3. It functions as an index information generation unit that generates information indicating the index and information on the solar radiation index for each region.

For example, the environmental information acquisition unit 44 determines the heavy clothing index based on the temperature, humidity, atmospheric pressure, amount of solar radiation, etc. indicated by weather-related information. For example, the environmental information acquisition unit 44 increases the value of the thick clothing index as the temperature is lower, the humidity is lower, and the amount of solar radiation is lower. The environmental information acquisition unit 44 can determine the heavy clothing index, for example, based on the result of weighted addition of temperature, humidity, atmospheric pressure, and solar radiation indicated by weather information.

Note that the environmental information acquisition unit 44 can also determine the thick clothing index using elements other than temperature, humidity, atmospheric pressure, and solar radiation, and can also determine the thick clothing index by using elements other than temperature, humidity, atmospheric pressure, and solar radiation. The thickness index can also be determined using the factors. In the processing section 22, the index information generation section may be provided separately from the environmental information acquisition section 44.

Furthermore, the environmental information acquisition unit 44 determines the solar radiation index based on the solar radiation amount indicated by the weather information. The environmental information acquisition unit 44 increases the value of the solar radiation index as the amount of solar radiation increases. The environmental information acquisition unit 44 adds information including information indicating the determined thick clothing index and information on the determined solar radiation index to the environmental information of the corresponding area.

Furthermore, when the content request is accepted by the reception unit 41, the environmental information acquisition unit 44 acquires environmental information including information regarding the weather in the specified area indicated by the content request received by the reception unit 41 from the environment information storage unit 32. get. For example, if the specified area indicated in the content request is Chiyoda Ward, Tokyo, environmental information including information regarding the weather in Chiyoda Ward, Tokyo is acquired from the environmental information storage unit 32.

Furthermore, if the environmental information storage unit 32 does not store environmental information including information regarding the weather in the specified area indicated in the content request received by the content request, the environmental information acquisition unit 44 Environmental information including information regarding local weather is acquired from the server 3.

In addition, if the content request received by the reception unit 41 does not include information on the designated area, the environmental information acquisition unit 44 may specify a designation preset in the user information of the user U identified in the content request. Determine whether there is information indicating the region. The user information of the user U is the user of the user U identified by the content request among the user information of the plurality of users U included in the user information table stored in the user information storage unit 30. This is user information corresponding to the ID.

If the user information of the user U identified in the content request includes information indicating a preset designated area, the environmental information acquisition unit 44 acquires information regarding the weather of the preset designated area. The environment information including the environment information is acquired from the environment information storage unit 32.

[4.3.1.2. Image information acquisition unit 45]
The image information acquisition unit 45 acquires image information from the server 4 and stores the acquired image information in the image information storage unit 33. For example, the image information acquisition unit 45 acquires image information from the server 4 at predetermined intervals, and stores the acquired image information in the image information storage unit 33.

The image information acquisition unit 45 acquires image information, which is information on a captured image of a person wearing an item corresponding to the environmental information, based on the environmental information acquired by the environmental information acquisition unit 44.

For example, when the content request is accepted by the reception unit 41, the image information acquisition unit 45 acquires information about a captured image of a person wearing an item corresponding to the environmental information of the specified area acquired by the environmental information acquisition unit 44. Obtain the image information that is. Such image information does not include some or all of the additional information described above, but is not limited to such an example.

The image information acquisition unit 45, for example, obtains provided image information that is information on a captured image that provides the user U with information on a captured image of a person wearing an item that corresponds to the thick clothing index included in the environmental information of the designated area. Get as.

For example, assume that the heavy clothing index related information table is in the state shown in FIG. 6, and that the heavy clothing index included in the environmental information of the designated area is "20". In this case, the image information acquisition unit 45 acquires information on a captured image of a person wearing an item of type “polo shirt” from the image information storage unit 33 as provided image information.

The image information stored in the image information storage unit 33 includes information indicating the type of item, and the image information acquisition unit 45 determines the type of item corresponding to the thick clothing index included in the environmental information of the specified area. Image information including the information shown is acquired from the image information storage unit 33 as provided image information.

As described above, the "item type" in the thick clothing index related information table shown in FIG. 6 may include at least one of the type of bottoms, the type of shoes, etc. in addition to or instead of the type of tops. good. In this case, the image information acquisition unit 45 captures an image of a person wearing an item corresponding to at least one of the type of bottoms and the type of shoes, in addition to or instead of wearing an item of the type of tops. information is acquired from the image information storage section 33 as provided image information.

Note that in the thick clothing index related information table shown in FIG. 6, categories of items (tops, bottoms, shoes, etc.) are defined as item types, but the invention is not limited to this example. For example, the type of item may include the material of the item in addition to the category of the item. The material of the item is, for example, linen, wool, cotton, etc.

The image information acquisition unit 45 also captures an image of a person wearing an item corresponding to the solar radiation index included in the environmental information of the specified area, in addition to an item corresponding to the thick clothing index included in the environmental information of the specified area. The information is acquired as provided image information, which is information on the captured image to be provided to the user U. The item corresponding to the solar radiation index is at least one of a hat, an arm cover, and sunglasses.

For example, in the solar radiation index related information table, when the solar radiation index is 50, the item type is "hat", and when the solar radiation index is 100, the item types are "hat", "sunglasses", and "arm cover". Suppose that

In this case, if the solar radiation index included in the environmental information of the specified area is "50", the image information acquisition unit 45 selects "50" as an item of the type corresponding to the solar radiation index in addition to the item of the type corresponding to the thick clothing index. Image information of a person wearing a hat is acquired from the image information storage unit 33 as provided image information.

Further, if the solar radiation index included in the environmental information of the specified area is "100", the image information acquisition unit 45 selects "100" as an item of the type corresponding to the solar radiation index in addition to the item of the type corresponding to the thick clothing index. Image information of a person wearing a hat, sunglasses, and arm cover is acquired from the image information storage unit 33 as provided image information.

In this way, when item groups are associated with each index value or each index value range in the index-related information table, the image information acquisition unit 45 corresponds to the index included in the environmental information of the specified area. Image information of a person wearing items of a plurality of types indicated by the item group is acquired from the image information storage section 33 as provided image information.

The image information acquisition unit 45 acquires information about one or more target captured images from among a plurality of target captured images each representing a captured image of a person wearing an item corresponding to the environmental information. The first image information, which is the information of the first captured image, is randomly acquired.

Further, the image information acquisition unit 45 further acquires information on one or more captured images that satisfy a predetermined condition from among the plurality of target captured images as second image information that is information on a second captured image. The second captured image is information about a captured image that is displayed together with the first captured image indicated by the first image information and is displayed in a smaller size than the first captured image. Each of the first image information and the second captured image is an example of the above-mentioned provided image information.

The predetermined conditions include, for example, a user condition that is a condition that corresponds to the information of the user U who is the information provider, a captured image condition that is a condition that corresponds to a captured image, and the like. The information about the user U includes information indicating the type of item owned by the user U, information indicating the user U's preferences for items, information indicating the attributes of the user U, and the like.

For example, the image information acquisition unit 45 prioritizes information on one or more target captured images according to the information of the user U from among the plurality of captured images and acquires the information as the second image information. For example, the image information acquisition unit 45 prioritizes information on a captured image of a person wearing an item corresponding to the type of item owned by the user U from among the plurality of target captured images and sets it as the second image information. get. Thereby, the user U can easily find an item to wear from among the items he/she owns that are appropriate for the weather.

In addition, the image information acquisition unit 45 may preferentially acquire information on a captured image of a person wearing an item that corresponds to the user U's preference from among the plurality of target captured images as the second image information. can. Thereby, the user U can know which items are weather-appropriate and match the user's preferences.

Furthermore, the image information acquisition unit 45 may preferentially acquire information on a captured image of a person wearing an item corresponding to the attribute of the user U from among the plurality of target captured images as the second image information. can. This allows the user U to know which items are weather-appropriate and match the user's attributes.

Further, the image information acquisition unit 45 can prioritize information on one or more target captured images according to the captured image condition from among the plurality of target captured images and acquire the information as second image information. The captured image conditions include, for example, a condition related to the recency of the captured image, a condition related to evaluation of the captured image, a condition related to at least one of the area and weather at the time of capturing the captured image, and a condition related to at least one of the following: These include conditions regarding the age of the person included in the image.

For example, the image information acquisition unit 45 prioritizes information on one or more target captured images in the order of newest from among a plurality of target captured images as a condition regarding the recency of the captured image. 2. Obtain as image information. Thereby, the user U can learn about new coordination items that are weather-appropriate items.

Further, as a condition regarding the evaluation of the captured images, the image information acquisition unit 45 prioritizes information on one or more target captured images in the order of the highest evaluated target captured images from among the plurality of target captured images as second image information. get. The evaluation of the captured image is, for example, a positive evaluation on a shopping site. Positive evaluations include the number of presses of an OK button (for example, like button) and the number of positive comments for the captured image, but also include the ratio of the number of presses of the OK button to the total number of presses of the OK button and NG button. It may be.

The image information acquisition unit 45 also includes one or more images in which at least one of the designated region and the weather of the designated region among the plurality of target captured images matches or is similar to at least one of the region and the weather at the time of capturing the captured image. It is also possible to give priority to the information on the target captured image and acquire it as the second image information.

For example, assume that the designated area is Chiyoda Ward, Tokyo, and the weather in Chiyoda Ward, Tokyo is that the temperature is 30 degrees and the humidity is 54%. The image information acquisition unit 45 selects, from among the plurality of target captured images, an image that is captured in an area that matches or is in the vicinity of Chiyoda Ward, Tokyo, and that matches or is similar to the weather where the temperature is 30 degrees Celsius and the humidity is 54%. Information on an image captured under the weather is acquired as second image information. Thereby, the image information acquisition unit 45 can suggest more comfortable items to the user U according to the weather and region.

In addition, the image information acquisition unit 45 prioritizes information on one or more target captured images in which the age of the user U who is the information provider and the age of the person at the time of image capture match or are similar among the plurality of target captured images. 2. Obtain as image information.

For example, assume that the user U to whom the information is provided is in his 20s. In this case, the image information acquisition unit 45 preferentially acquires information on one or more target captured images in which the person is in his or her twenties at the time of image capture as the second image information. Thereby, the image information acquisition unit 45 can suggest more comfortable items to the user U according to the weather and the age of the user U.

In addition, the image information acquisition unit 45 calculates the score of each target captured image by weighting according to the information of the user U who is the information provider and weighting according to the captured image, and selects a predetermined number of top images with high calculated scores. It is also possible to obtain information on the target captured images up to the point as the second image information.

Further, when a captured image request is accepted by the receiving unit 41, the image information acquisition unit 45 selects a plurality of target images according to the captured image request, based on the heavy clothing index and solar radiation index of the designated area indicated in the captured image request. Image information is acquired from the image information storage section 33. The method for acquiring the information on the captured image in response to the captured image request is, for example, the same as the method for acquiring the first image information, but may be the same as the method for acquiring the second image information.

In addition, if the captured image request received by the receiving unit 41 includes a tag keyword, the image information acquisition unit 45 acquires the target captured image corresponding to the heavy clothing index and solar radiation index of the specified area indicated in the captured image request. Among the information, information on the target captured image including information on a keyword that matches the tag keyword is acquired from the image information storage unit 33. For example, if the tag keyword is "pants style", information on the target captured image containing "pants style" as a keyword is acquired from the image information storage unit 33.

[4.3.2. Reception Department 41]
The receiving unit 41 receives a content request transmitted from the terminal device 2 . The content request includes information indicating the designated area and information for identifying user U (eg, user ID). The designated area is an area specified by user U. Note that if the information indicating the designated area is set in advance in the information processing device 1 by the user U, the content request may not include the information indicating the designated area.

The receiving unit 41 also receives a captured image request. The captured image request includes, for example, information such as the heavy clothing index and solar radiation index of the specified area. Note that the accepting unit 41 can also accept requests other than content requests and captured image requests.

[4.3.3. Generation unit 42]
The generation unit 42 generates weather content that includes weather forecast information for the specified area included in the environmental information acquired by the environmental information acquisition unit 44 and image information acquired by the image information acquisition unit 45.

In addition, when the captured image request is accepted by the receiving unit 41, the generation unit 42 generates a plurality of captured images acquired by the image information acquisition unit 45 based on the heavy clothing index and solar radiation index of the designated area indicated in the captured image request. The captured image content including the information is generated.

[4.3.4. Providing Department 43]
The providing unit 43 provides the image information acquired by the image information acquiring unit 45 as information to be displayed together with information regarding the weather. For example, the providing unit 43 provides weather content to the user U by transmitting the weather content generated by the generating unit 42 to the terminal device 2 .

FIG. 7 is a diagram illustrating an example of weather content provided by the information processing device 1 according to the embodiment. Weather content 50 shown in FIG. 7 includes weather information 51, a first captured image 52, a plurality of second captured images 53, thick clothing index information 54, telop information 55, link buttons 56, and the like.

Weather information 51 is information regarding the weather. Weather information 51 shown in FIG. 7 includes information indicating the current weather in Chiyoda Ward, which is a designated area (for example, information on temperature, humidity, atmospheric pressure, etc.). The weather information 51 may include weather forecast information, which is the predicted weather condition of the designated area, instead of or in addition to the current weather information that shows the current weather of the designated area.

The first captured image 52 is a randomly selected captured image, and the plurality of second captured images 53 are captured images that satisfy a predetermined condition. Since the size of each of the plurality of second captured images 53 is smaller than the size of the first captured image 52, it is possible to preferentially present the first captured image 52 to the user U while presenting the plurality of second captured images 53. They can be presented to the user U side by side.

In the thick clothing index information 54 shown in FIG. 7, three of the five indicator icons for indicating the heavy clothing index are highlighted, and the user U can see that the thick clothing index is 60% by these five index icons. It is easy to understand that With such an indicator icon, the user U can easily understand how thickly he/she should wear clothes. Note that the thick clothing index may be indicated by a level meter or the like instead of the index icon.

Further, in the telop information 55 shown in FIG. 7, text information such as "It's safe to wear something such as a jacket" is shown. With the telop information 55, the user U can easily understand how thickly he/she should wear clothes.

The link button 56 shown in FIG. 7 provides information on captured images of a person wearing an item according to the weather in a designated area, and information on captured images other than the first captured image 52 and the second captured image 53. This button is used to display the When the user U selects (for example, taps) the link button 56, the providing unit 43 of the information processing device 1 or the server 4 provides information on a captured image of a person wearing an item according to the weather in the specified area. Furthermore, it is displayed on the terminal device 2.

The weather content 50 provided by the providing unit 43 is not limited to the example shown in FIG. 7. FIG. 8 is a diagram showing another example of weather content 50 provided by the information processing device 1 according to the embodiment.

The weather content 50 shown in FIG. 8 includes weather information 51, a first captured image 52, a plurality of second captured images 53, thick clothing index information 54, telop information 55, a link button 56, a plurality of first selection tags 57, and a plurality of first selection tags 57. The second selection tag 58 and the like are included.

In the weather content 50 shown in FIG. 8, the first captured image 52, the plurality of second captured images 53, the thick clothing index information 54, the telop information 55, and the link button 56 are the first captured image of the weather content 50 shown in FIG. 52, a plurality of second captured images 53, thick clothing index information 54, telop information 55, and link button 56. The weather information 51 shown in FIG. 8 includes weather forecast information that is the predicted weather situation of Chiyoda Ward, which is a designated area.

The first selection tag 57 is a tag for displaying on the terminal device 2 information on captured images narrowed down by a tag keyword indicated by the tag from information on captured images of a person wearing an item according to the weather in a designated area. It is. In the weather content 50 shown in FIG. 8, the plurality of first selection tags 57 include a tag with "pants style" as a tag keyword, a tag with "beautiful" as a tag keyword, and a tag with "short stature coordination" as a tag keyword. Contains tags.

The second selection tag 58 is a tag for selecting a date. In the weather content 50 shown in FIG. 8, weather information for "Today: Tuesday, November 19th" is displayed. By selecting (for example, tapping) the second selection tag 58 of "Tomorrow: 11/20 (Wed)", the user U sends the weather information for "Tomorrow: 11/20 (Wed)" to the terminal device 2. It can be displayed.

Furthermore, when the reception unit 41 accepts the captured image request, the providing unit 43 provides the captured image content to the user U by transmitting the captured image content generated by the generation unit 42 to the terminal device 2. .

For example, when the link button 56 is selected, the information output unit 18 of the terminal device 2 transmits a captured image request corresponding to the link button 56 to the information processing device 1 via the communication unit 10 and the network N. The providing unit 43 transmits the captured image content generated by the generating unit 42 to the terminal device 2 when the captured image request is accepted by the accepting unit 41 .

Further, when the second selection tag 58 is selected, the information output unit 18 of the terminal device 2 transmits a captured image request according to the second selection tag 58 to the information processing device 1 via the communication unit 10 and the network N. do. The captured image request includes a tag keyword such as “pants style”, and when the captured image request is accepted by the receiving unit 41, the providing unit 43 selects the “pants style” generated by the generating unit 42. The captured image content including information on the corresponding captured image is transmitted to the terminal device 2.

Note that the providing unit 43 provides environmental information acquired by the environmental information acquisition unit 44 and image information acquired by the image information acquisition unit 45 based on information input from the terminal device 2 via an interface such as an API. It is also possible to transmit the weather content 50 to the terminal device 2 and display the weather content 50 on the terminal device 2.

[5. Processing procedure]
Next, a procedure of information processing by the processing unit 22 of the information processing device 1 according to the embodiment will be described. FIG. 9 is a flowchart illustrating an example of information processing by the processing unit 22 of the information processing device 1 according to the embodiment.

As shown in FIG. 9, the processing unit 22 of the information processing device 1 determines whether the environmental information acquisition timing has come (step S10). The environmental information acquisition timing is a timing that occurs every predetermined period or a timing at which a content request is received.

If the processing unit 22 determines that the environmental information acquisition timing has come (step S10: Yes), the processing unit 22 acquires the environmental information from the server 3, and stores the acquired environmental information in the storage unit 21 (step S11). Furthermore, if the environmental information acquired in step S11 does not include information on various indexes, the processing unit 22 calculates various indexes (step S12). In the process of step S12, the processing unit 22 calculates a heavy clothing index and a solar radiation index, and adds index information including the calculated heavy clothing index and solar radiation index to the environmental information.

When the process of step S12 is completed, or when it is determined that the environmental information acquisition timing has not arrived (step S10: No), the processing unit 22 determines whether or not the image acquisition timing has arrived (step S13). The image acquisition timing is a timing that occurs every predetermined period or a timing at which a content request is received.

When the processing unit 22 determines that the image acquisition timing has come (step S13: Yes), the processing unit 22 acquires image information from the server 3, and stores the acquired image information in the storage unit 21 (step S14).

When the process of step S14 is completed, or when it is determined that the image acquisition timing has not come (step S13: No), the processing unit 22 determines whether there is a content request (step S15). If the processing unit 22 determines that there is a content request (step S15: Yes), it performs content provision processing (step S16). The process in step S16 is the process in steps S20 to S25 shown in FIG. 10, and will be described in detail later.

When the process of step S16 is completed, or when it is determined that there is no content request (step S15: No), the processing unit 22 determines whether there is a captured image request (step S17). If the processing unit 22 determines that there is a captured image request (step S17: Yes), it provides captured image content including information on the captured image in response to the captured image request (step S18).

When the process of step S18 is completed, or when it is determined that there is no captured image request (step S17: No), the processing unit 22 determines whether or not the operation end timing has come (step S19). For example, when the power of the information processing device 1 is turned off, or when it is determined that a termination operation has been performed by operating an operation section (not shown) of the information processing device 1, the processing section 22 determines the operation termination timing. It is determined that it has become.

If the processing unit 22 determines that the operation end timing has not come (step S19: No), the process proceeds to step S10, and if it determines that the operation end timing has come (step S19: Yes), the process proceeds to FIG. The indicated process ends.

FIG. 10 is a flowchart illustrating an example of content provision processing by the processing unit 22 of the information processing device 1 according to the embodiment. As shown in FIG. 10, the processing unit 22 acquires environmental information corresponding to the designated area indicated by the content request from the storage unit 21 (step S20). Then, the processing unit 22 determines the type of item corresponding to the index such as the heavy clothing index or the solar radiation index (step S21).

Next, the processing unit 22 randomly acquires information on a captured image of a person wearing the item determined in step S21 from the storage unit 21 as first image information (step S22). Furthermore, the processing unit 22 acquires information on the captured image of the person wearing the item determined in step S22 from the storage unit 21 as second image information based on predetermined conditions (step S23).

Then, the processing unit 22 generates weather content including the first image information acquired in step S22, the second image information acquired in step S23, and weather information (step S24). Then, the processing unit 22 provides the weather content 50 generated in step S24 (step S25), and ends the process shown in FIG. 10.

[6. Modified example]
In the example described above, the image information acquisition unit 45 acquires information on a captured image of a person wearing an item of the type corresponding to the index, but the invention is not limited to this example. For example, if an item with a specific product number from a specific manufacturer is included in the index-related information table for the value range of each index, the image information acquisition unit 45 may display an item with a specific product number from a specific manufacturer that corresponds to the index. Obtain information about the captured image.

Furthermore, in the example described above, the information on the user U is not associated with the type of item in the index relationship information table, but the information on the user U may be associated with the type of item. For example, in the index related information table, the gender of the user U may be male, female, and unknown, and the item type may be associated with each index value or range of index values. In this case, the image information acquisition unit 45 uses the information of the captured image of the person wearing the item of the type associated with the index such as the thick clothing index or the solar radiation index and the gender of the user U to the information of the target captured image. Get as.

Furthermore, the information of the user U that is associated with the type of item is not limited to the gender of the user U; for example, the type of item is associated with each combination of gender, age, area of residence, and occupation. Good too. In this case, the image information acquisition unit 45 obtains information on a captured image of a person wearing an item of a type that is associated with a combination of indexes such as heavy clothing index and solar radiation index, gender, age, residential area, and occupation. is acquired as information on the target captured image.

Further, in the above example, the weather content 50 includes the first image information and the second image information, but the weather content 50 includes only one of the first image information and the second image information. You can leave it there. For example, the providing unit 43 provides weather content that includes only one of the first image information and the second image information based on one of the attribute information and the behavior history of the user U who provides the weather content 50. .

In the example described above, the image information acquisition unit 45 acquires information on a captured image that includes an item worn by a person as an item corresponding to the index, but in addition to items worn by a person, Alternatively, it is also possible to acquire information about a captured image that further includes items that the user carries (for example, a towel, a parasol, an umbrella, etc.).

In this case, a table is stored in the index-related information storage unit 31, in which the types of items to be worn and the types of items to be carried or possessed are associated with each range of index values. The image information acquisition unit 45 acquires information on captured images that include items that are carried or possessed in addition to worn items as items corresponding to the index.

Further, the image information acquisition unit 45 can also determine the type of item according to the environmental information of the specified area using an item recommendation model that receives the environmental information of the specified area and outputs a score for each item type. . In this case, the image information acquisition unit 45 inputs the environmental information of the specified area into the item recommendation model, and based on the score for each item type output from the item recommendation model, selects items according to the environmental information of the specified area. Decide on the type.

For example, the image information acquisition unit 45 determines the type of item with the highest score as the type of item according to the environmental information of the specified area. Then, the image information acquisition unit 45 acquires information on a captured image of a person wearing an item of the type determined using the item recommendation model as information on a target captured image. The input to the item recommendation model is information on at least one of the current weather and predicted weather conditions, but may also include information on the clothing index and solar radiation index instead of or in addition to such information. Further, a weather item recommendation model may be provided for each of tops (upper clothing) and bottoms (lower clothing), for example.

The item recommendation model is, for example, a learning model generated by GBDT (Gradient Boosting Decision Tree) or a learning model generated by deep learning using deep neural network (DNN). However, the learning model is not limited to this example, and may be a learning model generated by other machine learning methods. For example, the item recommendation model may be generated using machine learning using a regression method such as linear regression, multiple regression, or logistic regression, or another learning algorithm such as a learning algorithm such as support vector machine.

Further, the image information acquisition unit 45 acquires the information on “item type” in the index related information table, and the generation unit 42 generates weather content 50 that further includes the information on the “item type” acquired by the image information acquisition unit 45. can also be generated.

For example, assume that the heavy clothing index related information table is in the state shown in FIG. 6, and that the heavy clothing index of the designated area is "30". In this case, the generation unit 42 generates weather content 50 that includes information indicating a character string such as "'Polo shirt' or 'Shirt or blouse' is recommended" as information indicating the item type.

Further, in the above example, the information processing device 1 generates the weather content 50 and displays it on the terminal device 2, but the terminal device 2 collects information from the information processing device 1 and generates the weather content 50. The configuration may also be such that weather content 50 is displayed. In this case, the terminal device 2 functions together with the information processing device 1 as part of an information providing device that executes some of the above-described functions of the information processing device 1. Further, the terminal device 2 may be configured to function as an information providing device that executes all of the above-mentioned functions of the information processing device 1.

FIG. 11 is a diagram showing another example of the configuration of the terminal device 2 according to the embodiment. The terminal device 2 shown in FIG. 11 differs from the terminal device 2 shown in FIG. 3 in the function of the processing section 15. The processing section 15 of the terminal device 2 shown in FIG. 11 differs from the terminal device 2 shown in FIG. 3 in that it further includes a receiving section 41, a generating section 42, and a providing section 43.

Each of the receiving section 41, the generating section 42, and the providing section 43 shown in FIG. 11 has, for example, some or all of the functions of the receiving section 41, the generating section 42, and the providing section 43 shown in FIG. The reception unit 41 receives a specific operation as a content request when the user U's operation on the operation unit 12 is a specific operation.

The information acquisition section 16 includes the functions of the acquisition section 40. For example, when a content request is accepted by the reception unit 41, the information acquisition unit 16 functions as the above-mentioned environmental information acquisition unit 44 and acquires from the server 3 environmental information of the specified area indicated by the content request. Further, when the content request is accepted by the reception unit 41, the information acquisition unit 16 functions as the image information acquisition unit 45 described above based on the environmental information of the specified area acquired by the information acquisition unit 16, and sends the information to the server 4. Get image information from.

The generation unit 42 of the terminal device 2 generates weather content 50 including the image information acquired by the information acquisition unit 16. Then, the providing unit 43 of the terminal device 2 causes the display processing unit 17 to execute a process of displaying the weather content 50 generated by the generating unit 42 on the display unit 11. The providing unit 43 may include the functions of the display processing unit 17.

Note that the terminal device 2 is not limited to the above-described configuration as long as it can generate the weather content 50 in cooperation with the information processing device 1 and display the generated weather content 50 on the display unit 11. For example, the terminal device 2 may have a configuration that does not include the receiving section 41.

In this way, the terminal device 2 can execute the functions of the receiving section 41, the generating section 42, and the providing section 43 in cooperation with the information processing device 1. It can function as part of an information providing device having the following functions. Note that hereinafter, a configuration including the above-described information processing device 1 and a part or all of the terminal device 2 may be referred to as an information processing device 1.

The processing unit 15 shown in FIG. 11 allows various programs (an example of an information processing program) stored in a storage device (for example, the storage unit 14) inside the terminal device 2 to be stored in a RAM by a processor such as a CPU or an MPU. This is achieved by executing it as a work area.

[7. Hardware configuration]
The information processing device 1 or the terminal device 2 according to the embodiments described above is realized by, for example, a computer 80 having a configuration as shown in FIG. 12. The information processing device 1 will be described below as an example. FIG. 12 is a hardware configuration diagram showing an example of a computer 80 that implements the functions of the information processing device 1 according to the embodiment. The computer 80 includes a CPU 81, a RAM 82, a ROM (Read Only Memory) 83, an HDD (Hard Disk Drive) 84, a communication interface (I/F) 85, an input/output interface (I/F) 86, and a media interface (I/F). )87.

The CPU 81 operates based on a program stored in the ROM 83 or HDD 84 and controls each part. The ROM 83 stores a boot program executed by the CPU 81 when the computer 80 is started, programs depending on the hardware of the computer 80, and the like.

The HDD 84 stores programs executed by the CPU 81 and data used by the programs. The communication interface 85 receives data from other devices via the network N (see FIG. 2) and sends it to the CPU 81, and sends data generated by the CPU 81 to the other devices via the network N.

The CPU 81 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse via an input/output interface 86. The CPU 81 obtains data from an input device via the input/output interface 86. Further, the CPU 81 outputs the generated data to an output device via the input/output interface 86.

Media interface 87 reads programs or data stored in recording medium 88 and provides them to CPU 81 via RAM 82. The CPU 81 loads this program from the recording medium 88 onto the RAM 82 via the media interface 87, and executes the loaded program. The recording medium 88 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 80 functions as the information processing device 1 according to the embodiment, the CPU 81 of the computer 80 realizes the functions of the processing unit 22 by executing a program loaded onto the RAM 82. Furthermore, the data in the storage unit 21 is stored in the HDD 84 . The CPU 81 of the computer 80 reads these programs from the recording medium 88 and executes them, but as another example, these programs may be acquired from another device via the network N.

[8. others〕
Further, among the processes described in the above embodiments, some of the processes described as being automatically performed can also be performed manually. Alternatively, all or part of the processes described as being performed manually can also be performed automatically using known methods. In addition, information including the processing procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed arbitrarily, unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on various loads and usage conditions. Can be integrated and configured.

For example, the information processing device 1 described above may be realized by multiple server computers, and depending on the function, the configuration can be changed flexibly, such as by calling an external platform using API or network computing. . Further, the terminal device 2 may be responsible for part of the above-described processing of the information processing device 1. In this case, some functions of the terminal device 2 function together with the information processing device 1 as an information processing device.

Furthermore, for example, part or all of the storage unit 21 shown in FIG. 4 may be held in a storage server or the like instead of being held by each device. In this case, each device obtains various information by accessing the storage server.

[9. effect〕
As described above, the information processing device 1 according to the embodiment includes the environmental information acquisition section 44, the image information acquisition section 45, and the provision section 43. The environmental information acquisition unit 44 acquires environmental information including information regarding the weather. The image information acquisition unit 45 acquires image information, which is information on a captured image of a person wearing an item corresponding to the environmental information, based on the environmental information acquired by the environmental information acquisition unit 44. The providing unit 43 provides the image information acquired by the image information acquiring unit 45 as information to be displayed together with information regarding the weather. Thereby, the information processing device 1 can suggest more comfortable items to the user U.

Further, the environmental information acquisition unit 44 acquires, as environmental information, information including index information according to at least one of the current weather and the predicted weather situation. The image information acquisition unit 45 acquires information on a captured image of a person wearing an item corresponding to the index as image information. Thereby, the information processing device 1 can suggest more comfortable items to the user U.

Further, the index is an index indicating the degree of overdressing, and the image information acquisition unit 45 acquires information on a captured image of a person wearing an item corresponding to the index as image information. Thereby, the information processing device 1 can suggest more comfortable items to the user U.

Furthermore, the environmental information acquisition unit 44 acquires environmental information including information on an index according to at least one of the current amount of solar radiation and the predicted amount of solar radiation. The image information acquisition unit 45 acquires, as image information, information on a captured image of the person wearing the item corresponding to the index. Thereby, the information processing device 1 can suggest more comfortable items to the user U.

Further, the image information acquisition unit 45 randomly acquires information on one or more captured images as image information from among a plurality of captured images, each of which is a captured image of a person wearing an item corresponding to the environmental information. Thereby, the information processing device 1 can prevent the items proposed to the user U from being fixed, and can propose more comfortable items to the user U.

Further, the image information acquisition unit 45 displays information about one or more captured images that satisfy a predetermined condition from among the plurality of captured images together with the captured image indicated by the image information, and displays the captured image indicated by the image information. It is further acquired as second image information, which is information on a captured image displayed in a smaller size. The providing unit provides the second image information. Thereby, the information processing device 1 can suggest more comfortable items to the user U.

Moreover, the image information acquisition unit 45 preferentially acquires one or more captured images according to the information of the user U to whom the image information is provided from among the plurality of captured images as second image information. Thereby, the information processing device 1 can suggest more comfortable items to the user U.

Further, the information of the user U includes information indicating the type of item owned by the user U. The image information acquisition unit 45 gives priority to information on a captured image of a person wearing an item corresponding to the type of item owned by the user U from among the plurality of captured images, and acquires the information as second image information. Thereby, the user U can easily find an item to wear from among the items he/she owns that are appropriate for the weather.

Further, the information of the user U includes information indicating the user U's preferences for items. The image information acquisition unit 45 gives priority to information on a captured image of a person wearing an item that corresponds to the user U's preference from among the plurality of captured images, and acquires the information as second image information. Thereby, the user U can know which items are weather-appropriate and match the user's preferences.

Furthermore, the image information acquisition unit 45 preferentially acquires information on one or more captured images in descending order from the newest captured image among the plurality of captured images as second image information. Thereby, the user U can learn about new coordination items that are weather-appropriate items.

The image information acquisition unit 45 also acquires information on one or more captured images as second image information, giving priority to the captured images in the order of the highest evaluation among the plurality of captured images. Thereby, the image information acquisition unit 45 can suggest to the user U items that are more comfortable and highly rated according to the weather.

In addition, the image information acquisition unit 45 determines whether at least one of the region designated from among the plurality of captured images and the weather of the designated region matches or is similar to the region and weather at the time of imaging. The information on the above captured images is given priority and acquired as second image information. Thereby, the image information acquisition unit 45 can suggest more comfortable items to the user U according to the weather and region.

Furthermore, the image information acquisition unit 45 prioritizes information on one or more captured images in which the age of the user U to whom the image information is provided matches or is similar to the age of the person at the time of image capture, from among the plurality of captured images. and is acquired as second image information. Thereby, the image information acquisition unit 45 can suggest more comfortable items to the user U according to the weather and the age of the user U.

Although the embodiments of the present application have been described above in detail based on the drawings, this is merely an example, and various modifications and improvements can be made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure section of the invention. It is possible to implement the invention in other forms.

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

1 Information processing device 2 Terminal device 3, 4 Server 10, 20 Communication unit 11 Display unit 12 Operation unit 13 Sensor group 14, 21 Storage unit 15, 22 Processing unit 16 Information acquisition unit 17 Display processing unit 18 Information output unit 30 User Information storage unit 31 Index-related information storage unit 32 Environmental information storage unit 33 Image information storage unit 40 Acquisition unit 41 Reception unit 42 Generation unit 43 Providing unit 44 Environmental information acquisition unit 45 Image information acquisition unit 50 Weather content 51 Weather information 52 First Captured image 53 Second captured image 54 Thick clothing index information 55 Telop information 56 Link button 57 First selection tag 58 Second selection tag 100 Information provision system

Claims (15)

an environmental information acquisition unit that acquires environmental information including weather information;
an image information acquisition unit that acquires image information that is information on a captured image of a person wearing an item corresponding to the environmental information, based on the environmental information acquired by the environmental information acquisition unit;
An information processing device comprising: a providing unit that provides the image information acquired by the image information acquiring unit as information displayed together with information regarding weather. The environmental information acquisition unit includes:
Obtaining information including index information according to at least one of the current weather and predicted weather conditions as the environmental information;
The image information acquisition unit includes:
The information processing device according to claim 1, wherein information on a captured image of a person wearing an item corresponding to the index is acquired as the image information. The index is
It is an indicator of the degree of heavy clothing,
The image information acquisition unit includes:
The information processing apparatus according to claim 2, wherein information on a captured image of a person wearing an item corresponding to the index is acquired as the image information. The environmental information acquisition unit includes:
Obtain environmental information including index information according to at least one of the current amount of solar radiation and the predicted amount of solar radiation,
The image information acquisition unit includes:
The information processing device according to claim 1, wherein information on a captured image of a person wearing an item corresponding to the index is acquired as the image information. The image information acquisition unit includes:
Claim 1 characterized in that information on one or more captured images is randomly acquired as the image information from among a plurality of captured images each showing a captured image of a person wearing an item corresponding to the environmental information. The information processing device according to any one of 4 to 4. The image information acquisition unit includes:
Information on one or more captured images that satisfy a predetermined condition from among the plurality of captured images is displayed together with the captured image indicated by the image information and in a smaller size than the captured image indicated by the image information. Further acquire as second image information which is information of the captured image,
The provision department is
The information processing device according to claim 5, further comprising: providing the second image information. The image information acquisition unit includes:
According to claim 6, one or more captured images according to information of a user to whom the image information is provided are prioritized and acquired as the second image information from among the plurality of captured images. information processing equipment. The information of the user is
Contains information indicating the type of item owned by the user,
The image information acquisition unit includes:
A claim characterized in that, from among the plurality of captured images, information on a captured image of a person wearing an item corresponding to a type of item owned by the user is preferentially acquired as the second image information. The information processing device according to item 7. The information of the user is
including information indicating the user's preferences for items;
The image information acquisition unit includes:
According to claim 7, information on a captured image of a person wearing an item corresponding to the preference of the user is preferentially acquired from among the plurality of captured images as the second image information. The information processing device described. The image information acquisition unit includes:
The information processing apparatus according to claim 6, wherein information on one or more captured images is acquired as the second image information with priority in order from the newest captured image among the plurality of captured images. The image information acquisition unit includes:
7. The information processing apparatus according to claim 6, wherein information on one or more captured images is acquired as the second image information with priority given to the captured images in order of higher evaluation from among the plurality of captured images. The image information acquisition unit includes:
Priority is given to information of one or more captured images in which at least one of the designated region and the weather of the designated region matches or is similar to the region and weather at the time of imaging from among the plurality of captured images. The information processing apparatus according to claim 6, wherein the information processing apparatus acquires the second image information as the second image information. The image information acquisition unit includes:
Among the plurality of captured images, information on one or more captured images in which the age of the user to whom the image information is provided and the age of the person at the time of image capture match or are similar is prioritized as the second image information. The information processing device according to claim 6, wherein the information processing device acquires the information. An information processing method performed by a computer, the method comprising:
an environmental information acquisition step of acquiring environmental information including information regarding weather;
an image information acquisition step of acquiring image information that is information on a captured image of a person wearing an item corresponding to the environmental information, based on the environmental information acquired in the environmental information acquisition step;
An information processing method comprising: a providing step of providing the image information acquired in the image information acquiring step as information to be displayed together with information regarding the weather. an environmental information acquisition procedure for acquiring environmental information including weather information;
an image information acquisition procedure of acquiring image information that is information of a captured image of a person wearing an item corresponding to the environmental information, based on the environmental information acquired by the environmental information acquisition procedure;
An information processing program that causes a computer to execute a providing step of providing the image information obtained by the image information obtaining step as information to be displayed together with weather-related information.

Images