JP2021503111A - Recommendation method and system that uses content including location data - Google Patents

Abstract

We provide recommendation technology using content that includes location data. Recommendation information provision methods include the stage of collecting photos that are uploaded to the Internet community and include location data, the stage of constructing location-based recommendation information by grouping the collected photos using location data, and the Internet. When a request for a location infrastructure recommendation service is received from an electronic device in the community, a map screen including the location specified by the user of the electronic device is provided, and the map screen is grouped with respect to the position data in the corresponding map. Includes the stage of providing photos.

Description

The following description relates to the technology for providing location-based services.

With the popularization of infrastructure for generating location-based content, such as smartphones (smartphones) and GPS (global positioning system), the use of location-based services is rapidly increasing.

The types of content that users can use in location-based services are diverse, such as photographs, music, videos, games, and real-time information content, and the variety of types continues to increase.

As an example of the technology for providing the location-based service, Patent Document 1 (registration date: September 23, 2015) provides the member store information based on the location information of the user's current location to the user terminal in real time. , The technology that provides the user terminal with information on discounts and mileage usage provided by the relevant member store to attract customers and member store information on the current number of customers is disclosed.

Korean Registered Patent No. 10-156559

Among the contents uploaded to the Internet community for communication between users, by using the contents including the position data, a method and a system capable of providing the recommendation information of the position base are provided.

Provided is a method and system capable of recommending the content actually uploaded by a person who has a predetermined relationship with the user in the Internet community on the map of the position specified by the user.

It is a method of providing recommendation information realized by a computer, the stage of collecting photos including location data uploaded to the Internet community, and the stage of constructing location infrastructure recommendation information by grouping the collected photos using location data. , And when a request for a location infrastructure recommendation service is received from an electronic device in the Internet community, a map screen containing the location specified by the user of the electronic device is provided, and the location data in the map is grouped on the map screen. Provide a method of providing recommended information, including the stage of providing the photographed photo.

According to one aspect, the collecting step may include recording a position ID assigned to an area corresponding to the position data of the collected photographs for the collected photographs.

According to another aspect, the constructing step may include classifying the collected photographs as a photo group for a position ID assigned to a region corresponding to the location data of the collected photographs.

According to another aspect, a position ID is assigned to each divided area of the map, and at the stage of configuring, a photo group is formed for each position ID, and a photo including the corresponding position ID or the corresponding position ID for each position ID. It may include a step of grouping photos including the position data of the area to which is allocated as a photo group by position ID.

According to another aspect, the composing step may include an image analysis of a photo group by position ID and regrouping into a plurality of categories based on the contents of the photographs belonging to the photo group.

According to another aspect, the configuration step may include a step of regrouping the photo groups by position ID into a plurality of categories by using the attribute information and tag information included in the photos belonging to the photo group. ..

According to another aspect, the stage of provision is at least one of the photographs grouped in the location data based on the identification information of the Internet community for which the user requested the location infrastructure recommendation service and the user's social network information in the Internet community. It may include a step of selecting and providing a part.

According to another aspect, when a user requests a location-based recommendation service in a specific chat room in the Internet community, the provision stage joins the chat room among the photos grouped for the location data in the map. It may include a step of selecting and providing the photos uploaded by the person who made the chat.

According to another aspect, when the user requests the location infrastructure recommendation service without identifying the chat partner in the Internet community, the Internet community among the photos grouped for the location data in the map. It may include the step of providing a photo uploaded by at least one other user associated with the user based on the user's social network information in.

According to another aspect, when there are a plurality of photo groups for each position ID on the map screen, the recommendation information providing method includes the number of photos and the number of inquiries for each photo group for the photo groups for each of the plurality of position IDs. The step of providing is recommended to multiple photo groups by position ID, including the step of calculating the recommended score based on at least one element of the latestness by the photo upload time and the adjacency with the position specified by the user. It may include a step of providing by reflecting the ranking based on the score.

According to other aspects, the calculation step is for at least two or more factors: the number of photos in each photo group, the number of queries, the up-to-dateness of the photo upload time, and the adjacency to the user-specified location. A step of calculating the recommended score for each photo group by giving a weighted value to each photo group may be included.

According to yet another aspect, the composing step includes the step of regrouping the photo groups by position ID into a plurality of categories using the photos belonging to the photo group, and the recommendation information providing method is for a plurality of categories. Includes the step of calculating the category score based on at least one factor of the number of photos in each category photo group, the number of inquiries, the latestness by photo upload time, and the adjacency with the position specified by the user. The step may include a step of providing a plurality of categories by reflecting the ranking based on the category score in the photo group for each category.

A computer program stored in a computer-readable storage medium is provided in order to combine with a computer and cause the computer to execute a recommendation information providing method.

Provided is a computer-readable storage medium, characterized in that a program for causing a computer to execute a recommendation information providing method is stored.

A computer-implemented recommendation information system that includes at least one processor and memory containing instructions that can be linked to at least one processor and executed by at least one processor, the at least one processor being the Internet community. The location infrastructure recommendation information is constructed by collecting the photos uploaded to and containing the location data and grouping the collected photos using the location data, and the request for the location infrastructure recommendation service is received from the electronic device in the Internet community. In this case, the recommendation information that operates when the user of the electronic device provides a map screen including the specified position and executes a command to provide the grouped photos for the position data in the corresponding map on the map screen. Providing a providing system.

According to the embodiment of the present invention, among the contents uploaded to the Internet community for users to communicate with each other, by using the contents including the position data, the recommendation information of the position base is efficiently provided. Can be done.

According to the embodiment of the present invention, it is possible to recommend the content actually uploaded by a person who has a predetermined relationship with the user in the Internet community on the map of the position specified by the user.

It is a figure which showed the example of the network environment in one Embodiment of this invention. It is a block diagram for demonstrating the internal structure of an electronic device and a server in one Embodiment of this invention. It is a figure which showed the example of the location base recommendation service environment in one Embodiment of this invention. It is a figure which showed the example of the component which the processor of the server can include in one Embodiment of this invention. It is a flowchart which showed the example of the method which a server can execute in one Embodiment of this invention. It is explanatory drawing for demonstrating the process of giving a position ID to a photograph in one Embodiment of this invention. It is explanatory drawing for demonstrating the process of classifying the photograph containing the position data in one Embodiment of this invention. It is a figure which showed the screen example which can request the position base recommendation service in one Embodiment of this invention. It is a figure which showed the screen example which can request the position base recommendation service in one Embodiment of this invention. It is a figure which showed the screen example which provides the position base recommendation information in one Embodiment of this invention. It is a figure which showed the screen example which provides the position base recommendation information in one Embodiment of this invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

An embodiment of the present invention relates to a technique for providing a location-based service, and more particularly to a method and a system capable of providing location-based recommendation information using content including location data.

Embodiments, including matters specifically disclosed herein, can provide location-based recommendation information using content that includes location data, which is efficient, effective, and convenient. It is possible to achieve considerable advantages in terms of sex and cost savings.

FIG. 1 is a diagram showing an example of a network environment according to an embodiment of the present invention. The network environment of FIG. 1 shows an example including a plurality of electronic devices 110, 120, 130, 140, a plurality of servers 150, 160, and a network 170. Such FIG. 1 is merely an example for explaining the invention, and the number of electronic devices and the number of servers are not limited as in FIG.

The plurality of electronic devices 110, 120, 130, 140 may be fixed terminals or mobile terminals realized by a computer device. Examples of a plurality of electronic devices 110, 120, 130, 140 include smartphones, mobile phones, tablets, navigation systems, PCs (personal computers), notebook PCs, digital broadcasting terminals, PDAs (Personal Digital Assistants), and PMPs (Portables). Multimedia Player) and the like. As an example, the first electronic device 110 may use a wireless or wired communication method to communicate with other electronic devices 120, 130, 140 and / or servers 150, 160 via a network 170.

The communication method is not limited, and not only the communication method using the communication network (for example, mobile communication network, wired Internet, wireless Internet, broadcasting network) that can be included in the network 170, but also the short distance between devices. Wireless communication may be included. For example, the network 170 includes a PAN (personal area network), a LAN (local area network), a CAN (campus area network), a MAN (metoropolitan area network), a WAN (wide network), etc. It may include any one or more of the networks. Further, network 170 may include, but is limited to, any one or more of network topologies, including bus networks, star networks, ring networks, mesh networks, star-bus networks, tree or hierarchical networks, and the like. Will not be done.

The servers 150 and 160 are realized by one or more computer devices that communicate with a plurality of electronic devices 110, 120, 130, 140 via a network 170 to provide instructions, codes, files, contents, services, and the like, respectively. You can. For example, the server 160 may provide a file for installing an application to the first electronic device 110 connected via the network 170. In this case, the first electronic device 110 may install the application by using the file provided by the server 160. Further, the service or content provided by the server 150 is connected to the server 150 under the control of the operating system (OS) included in the first electronic device 110 or at least one program (for example, a browser or the installed application). You may receive the offer. For example, when the first electronic device 110 sends a service request message to the server 150 via the network 170 under the control of the application, the server 150 may send a code corresponding to the service request message to the first electronic device 110. The first electronic device 110 may provide the content to the user by forming and displaying a screen based on the code according to the control of the application.

FIG. 2 is a block diagram for explaining the internal configurations of the electronic device and the server according to the embodiment of the present invention. In FIG. 2, the internal configuration of the first electronic device 110 will be described as an example for one electronic device, and the internal configuration of the server 150 will be described as an example for one server. Other electronic devices 120, 130, 140 and server 160 may also have the same or similar internal configuration.

The first electronic device 110 and the server 150 may include memories 211 and 221, processors 212 and 222, communication modules 213 and 223, and input / output interfaces 214 and 224. The memories 211 and 221 are computer-readable recording media and may include a non-temporary large-capacity recording device such as a RAM (random access memory), a ROM (read only memory), and a disk drive. Further, the memory 211 and 221 may record an operating system and at least one program code (for example, a code for an application installed and executed in the first electronic device 110). Such software components may be loaded from a computer-readable recording medium separate from the memories 211 and 221. Such other computer-readable recording media may include computer-readable recording media such as floppy® drives, disks, tapes, DVD / CD-ROM drives, memory cards, and the like. In other embodiments, software components may be loaded into memory 211 and 221 through communication modules 213 and 223 that are not computer readable recording media. For example, at least one program is a computer program installed by a file provided via network 170 by a file distribution system (eg, server 160 described above) that distributes developer or application installation files (eg, described above). It may be loaded into the memory 211 or 221 based on the application.

Processors 212 and 222 may be configured to process instructions in a computer program by performing basic arithmetic, logic, and input / output operations. Instructions may be provided to processors 212 and 222 by memory 211, 221 or communication modules 213 and 223. For example, processors 212 and 222 may be configured to execute instructions received according to program code recorded in a recording device such as memory 211 and 221.

The communication modules 213 and 223 may provide a function for the first electronic device 110 and the server 150 to communicate with each other via the network 170, or another electronic device (for example, the second electronic device 120). Alternatively, it may provide a function for communicating with another server (for example, server 160). As an example, a request generated by the processor 212 of the first electronic device 110 according to a program code recorded in a storage device such as a memory 211 (as an example, a search request) is transmitted via the network 170 under the control of the communication module 213. May be transmitted to the server 150. On the contrary, the control signals, instructions, contents, files, etc. provided under the control of the processor 222 of the server 150 pass through the communication module 223 and the network 170, and pass through the communication module 213 of the first electronic device 110 to the first electronic device. It may be received by the device 110. For example, the control signals and instructions of the server 150 received through the communication module 213 may be transmitted to the processor 212 and the memory 211, and the contents and files may be further included in the storage medium that the first electronic device 110 can include. May be remembered.

The input / output interface 214 may be a means for an interface with the input / output device 215. For example, an input device may include a device such as a keyboard or mouse, and an output device may include a device such as a display for displaying a communication session of an application. As another example, the input / output interface 214 may be a means for an interface with a device such as a touch screen in which functions for input and output are integrated into one. As a more specific example, when the processor 212 of the first electronic device 110 processes an instruction of a computer program loaded in the memory 211, it is configured by using the data provided by the server 150 and the second electronic device 120. The service screen or content may be displayed on the display through the input / output interface 214. Similarly, the input / output interface 214 may output information configured by using the data provided by the server 150 when the processor 222 of the server 150 processes the instruction of the computer program loaded in the memory 221.

Also, in other embodiments, the first electronic device 110 and the server 150 may include more components than the components of FIG. However, most prior art components need not be clearly illustrated. For example, the first electronic device 110 may be realized to include at least a part of the above-mentioned input / output device 215, a transceiver, a GPS (Global Positioning System) module, a camera, various sensors, a database, and the like. It may further include other components such as. As a more specific example, when the first electronic device 110 is a smartphone, an acceleration sensor, a gyro sensor, a camera, various physical buttons, a button using a touch panel, and an input / output port generally included in the smartphone are included. It can be seen that various components such as a vibrating device for vibration may be further included in the first electronic device 110.

Hereinafter, a method of providing recommendation information of the location base by using the content including the location data and a specific embodiment of the system will be described.

The server 150 according to the present embodiment may be configured with a recommendation information providing system realized by a computer. The server 150 provides a location-based recommendation service for a plurality of electronic devices 110, 120, 130, 140 that are clients, and is installed on the electronic devices 110, 120, 130, 140. Recommendation information corresponding to a service request by a web / mobile site connection related to a dedicated application or server 150 may be provided.

Referring to FIG. 3, the server 150 may play the role of a recommendation server that provides a location-based recommendation service, may be realized by a community server that provides a community service and one service platform, or may be an individual service. The location infrastructure recommendation service may be provided by linking with the community server realized by the platform and linking with the community service.

In the present specification, the term "community" may mean a comprehensive means of communication on the Internet for users to communicate with each other, and may include, for example, a messenger or an SNS (social network service).

When the user sends the content including the position data as a message or registers it in the SNS, the corresponding content may be transmitted to the destination (another user or the SNS) after the position data is removed. At this time, the server 150 may configure the location infrastructure recommendation information by using the content including the location data as the content uploaded to the Internet community, and provides this to the user who requested the location infrastructure recommendation service. Good.

As used herein, the content may mean a comprehensive set of all information provided via the Internet, and may include, for example, photographs, images, videos, sounds, documents, music, and the like. In the specific embodiment described below, a photograph will be illustrated as a representative of the content, but the present invention is not limited thereto.

FIG. 4 is a diagram showing an example of components that can be included in the processor of the server in one embodiment of the present invention, and FIG. 5 is a diagram that can be executed by the server in one embodiment of the present invention. It is a flowchart which showed the example of the method.

In order for the server 150 to execute the recommendation information providing method according to FIG. 5, the processor 222 of the server 150 has, as components, a collecting unit 410, an information configuration unit 420, a ranking calculation unit 430, and a ranking calculation unit 430, as shown in FIG. An information providing unit 440 may be provided. Depending on the embodiment, the components of processor 222 may be selectively included or excluded from processor 222. Also, depending on the embodiment, the components of processor 222 may be separated or merged to represent the functionality of processor 222.

Such processor 222 and the components of processor 222 may control the server 150 to perform steps 510 to 540 included in the recommendation information providing method of FIG. For example, the processor 222 and the components of the processor 222 may be implemented to execute an instruction by the code of the operating system included in the memory 221 and the code of at least one program.

Here, the components of the processor 222 may be representations of different functions of the processor 222 that are executed by the processor 222 according to the instructions provided by the program code recorded in the server 150. For example, the collection unit 410 may be used as a functional representation of the processor 222 that controls the server 150 according to the instructions described above so that the server 150 collects content including location data.

At step 510, processor 222 may read the required instructions from memory 221 loaded with instructions associated with control of server 150. In this case, the read instruction may include an instruction for controlling the processor 222 to execute steps 520-540 described below.

At step 520, the collection unit 410 may collect photos including position data among the photos uploaded by the plurality of electronic devices 110, 120, 130, 140. When the user takes a picture including the position data and uploads it to an Internet community for users to communicate with each other, for example, a messenger or an SNS, the collection unit 410 corresponds the picture as content that can be used in the position infrastructure recommendation service. May be collected. In the case of a user who has permission to share the location in advance, the location data of the electronic devices 110, 120, 130, 140 may be received together with the photo in the photo upload process, and this is recorded in the database linked with the server 150. , Photographs containing location data may be collected. At this time, the position data recorded on the database may be specific position values such as GPS coordinates of the electronic devices 110, 120, 130, 140, and as another example, the specific position values Instead, it may be a position ID (identity) indicating an area to which the corresponding position value belongs. More specifically, a method of dividing the entire map into a plurality of areas and assigning a unique position ID to each divided area may be utilized. At this time, the collecting unit 410 takes a picture including the position data. Instead of recording the specific position value acquired by the electronic device for the user who uploaded the data, the position ID corresponding to the corresponding position value is recorded as the approximate position information. Further, the position data may be a position value automatically acquired from an electronic device by using GPS or the like, or may be position information directly input by the user. Further, the collecting unit 410 records both the identification information (for example, user ID) of the user who uploaded the photo and the community identification information as information related to the photo in the process of collecting the photo including the position data. You can do it. At this time, the community identification information may correspond to the community identification information such as the chat room ID (individual or group) in the case of a messenger as the information about the community to which the user has sent the photo, and corresponds to the community identification information in the case of SNS. The community ID or the like may correspond to the community identification information.

At step 530, the information configuration unit 420 may configure location infrastructure recommendation information using photographs including location data collected on the database. As an example, the information configuration unit 420 may group the collected photographs using the position data. The information configuration unit 420 may form a photo group for each position ID and group the photos in which the corresponding position ID is recorded for each position ID or the position value of the area belonging to the corresponding position ID is recorded. In addition, the information configuration unit 420 may group the collected photographs into a large number of categories based on the contents of the photographs by an image analysis technique using AI (artificial intelligence) or the like. In addition to image analysis technology, photos are classified into multiple categories by utilizing attribute information contained in photos and tags directly entered by the user (for example, in the case of food photos, entering the food menu name). It is also possible to do. For example, photographs may be classified into background photographs and food photographs, and in the case of food photographs, they may be subdivided and reclassified according to each menu. The categories for photo grouping may be predetermined according to the type and characteristics of the service, and may be divided into themes of various themes such as food, highlights, and playgrounds. Therefore, the information configuration unit 420 may preferentially group the photographs containing the position data by the position ID, further group the photographs into a large number of categories by image analysis, and resemble the photographs within a certain range within each category. The same photos with degrees may be regrouped. In this way, the information composition unit 420 may configure the position-based recommendation information by grouping the collected photographs based on the position ID and / or the image analysis result. The information configuration unit 420 groups the collected photographs into photo groups by position ID based on the position ID, and regroups the photo groups by position ID into a plurality of categories based on the image analysis result. The location-based recommendation information may be configured accordingly.

In step 540, when the information providing unit 440 receives a request for the position infrastructure recommendation service from the user of the first electronic device 110, the information providing unit 440 recommends the location infrastructure corresponding to the corresponding map on the map screen including the location specified by the user. Information may be provided. The position specified by the user may mean the current position of the user acquired from the first electronic device 110 or the position directly selected by the user. When the service request of the user is received, the information providing unit 440 may grasp the position specified by the user at the time when the service request is received and provide a map screen centered on the corresponding position. , On the map screen, the photographs grouped by the position IDs in the corresponding map may be provided as the position base recommendation information. The service request of the user may include information about the category selected by the user, and at this time, the information providing unit 440 is classified into the category selected by the user among the photographs grouped by the position ID in the map. Only photos may be selected and recommended. In addition, when the user requests the location infrastructure recommendation service in a specific community, the information providing unit 440 grasps the identification information of the community for which the user requested the location infrastructure recommendation service and the user's social network information in the corresponding community. , Among the photos grouped by the position ID in the map, the photos uploaded by a person belonging to the corresponding community may be selected and provided as the position base recommendation information. For example, if a user requests a location-based recommendation service in a specific group chat room of a messenger, only the photos uploaded by the person who participated in the group chat room may be recommended, and the user may recommend the location-based infrastructure in a specific SNS. When requesting a service, you may recommend photos uploaded by other users associated with you on the SNS, such as someone who has a given relationship with you (eg, friends, colleagues, family, etc.). The information providing unit 440 described above provides a grouped photograph for each position ID within a certain distance based on the corresponding position on the map screen of the position specified by the user, and the community in which the user requests the service. You may select and recommend the photos uploaded by the person who has a relationship with the user (the user who requested the service based on the social network information and other users related to the user).

When the information providing unit 440 provides a plurality of photo groups as position base recommendation information (for example, when a plurality of photo groups for each position ID exist on a map screen including a position specified by the user, or a specific position ID If there are multiple photo groups in different categories), the ranking based on the recommended score may be reflected. At this time, the ranking calculation unit 430 will calculate the recommended score or the category score for each photo group for the position ID or the category (classified by using the photo like the image analysis result of the photo). The recommended score or the category score may be calculated by adding a weight value to at least one element of the number of photographs, the number of inquiries, the latestness (time), and the adjacency (position) of each group. The more photos a user uploads to the photo group, the higher the number of photo queries, the more recently uploaded photos (the shorter the elapsed time after uploading), and / or the user. The higher the recommended score or the category score may be calculated, the closer the position specified by is and the position ID. Of the above factors, the number of queries and the latestness may differ for each photo that belongs to a group, so the number of queries for a photo group is the average value of the number of queries for photos included in the group, or Utilizing the highest number of inquiries for the photos included in the group, the latestness of the photo group is the upload time of the most recently uploaded photos in the group. You may make a judgment using. At this time, it is possible not only to give a constant weighted value to all the elements, but also to apply the weighted value so as to be different depending on the element. For example, weighted values of 40%, 30%, 20%, 10%, or 20, 10, 10, 1 are applied to the number of photos, the number of queries, the latestness (time), and the adjacency (position), respectively. Often, adjacencies may be given a lower weighted value than other factors. As another example, weighted values may be applied differently for each element according to the type and characteristics of the category that is the standard for classifying photographs. For example, in the case of food photographs, the most up-to-date weighted value may be given, and in the case of background photographs, the highest weighted value may be given to the number of photographs. Therefore, the information providing unit 440 provides the photo group for each position ID within a certain distance with the corresponding position as the reference on the map screen of the position specified by the user as the position base recommendation information, and the ranking calculation unit 430 Photo groups may be provided in order of recommended points, reflecting the calculated ranking. Further, when the photo group by position ID is regrouped into a plurality of categories, the information providing unit 440 reflects the ranking based on the category score in the photo group by category for the plurality of categories, and in order of the category score. Photo groups may be provided.

FIG. 6 is an example diagram for explaining a process of assigning a position ID to a photograph in one embodiment of the present invention.

When the user of the first electronic device 110 uploads a photo containing location data to a community such as a messenger or SNS, the collection unit 410 uses the photo containing the location data as content that can be used in the location infrastructure recommendation service. Collect as. As shown in FIG. 6, it is assumed that the entire map 600 is divided into a plurality of regions having a certain size, and a position ID is assigned to each divided region. At this time, if the photograph includes the GPS coordinate value 601 indicating the accurate position of the first electronic device 110 in the process of collecting the photograph, the collecting unit 410 does not record the GPS coordinate value 601 and the GPS coordinate value 601. The position ID assigned to the area 610 to which the member belongs may be recorded.

Not limited to this, in the process of collecting photographs, after recording the GPS coordinate value 601 included in the photograph as it is, in the grouping process of the information configuration unit 420, the photograph including the GPS coordinate value 601 is recorded. It is also possible to classify into a photo group for the position ID of the area 610 to which the corresponding GPS coordinate value 601 belongs.

FIG. 7 is an example diagram for explaining a process of classifying photographs including position data in one embodiment of the present invention.

The information composition unit 420 may configure the position base recommendation information by grouping the photographs collected based on the position ID and the image analysis result. With reference to FIG. 7, the information configuration unit 420 may first group the photographs collected on the database 151 based on the position ID (for example, position 1 group, position 2 group, ...). After that, the information configuration unit 420 may regroup the photo groups by position ID into detailed categories using the photos belonging to each photo group. At this time, regrouping means that the photographs classified by position ID are subdivided and classified by one or more category depths, and are classified into first level category, second level category, and so on by the depths. It may be divided. For example, the information configuration unit 420 analyzes the images of the photographs belonging to the position 1 group (position ID = “position 1”), respectively, and analyzes the background photo group (first level category = “background”) and the food photo group (first). It may be classified into level category = "food"), and food photo groups may be subdivided into each menu and regrouped (for example, menu 1 group (second level category = "menu 1"), menu 2 group. (Second level category = "Menu 2") etc.).

Therefore, the information configuration unit 420 may basically classify the photographs including the position data by the position ID and group them into the photo group by the position ID, and within the group by the position ID, the photograph by the image analysis may be grouped. You may regroup into advanced categories based on their content.

8 and 9 are diagrams showing an example of a screen on which a position-based recommendation service can be requested in one embodiment of the present invention.

FIG. 8 shows a chat room screen 800 of a messenger, which is one of the Internet communities. The chat room screen 800 is a user interface screen that allows the user to exchange chats with the other party by message or exchange various contents such as photos, videos, and voices, and is an individual chat room with one other party. Of course, it may be a group chat room in which a plurality of parties participate. As shown in FIG. 8, the chat room screen 800 may include a recommendation menu 801 for the user to request a location-based recommendation service.

FIG. 9 shows the messenger chat room list screen 900. As shown in FIG. 9, the chat room list screen 900 may include a chat room list 910 in which chat rooms in which the user exchanges messages and contents with the other party are arranged. For example, the chat room list 910 may be sorted in descending order according to the message transmission / reception time, which is one of the existing sorting criteria. In other words, the more recently a user sends or receives a message, the higher the chat room may be on the list. At this time, the chat room list screen 900 may include a recommendation menu 901 for the user to request the location-based recommendation service.

The chat room screen 800 and the chat room list screen 900 may additionally include a menu that allows the user to select a category of information that the user wishes to recommend.

8 and 9 are exemplary and are not limited to this, and although specific diagrams are omitted, the friend list screen including the messenger's friend list and the user interface of the community such as SNS A menu for the user to access the location infrastructure recommendation service may be provided on the screen or the like.

10 and 11 are diagrams showing screen examples that provide position-based recommendation information according to an embodiment of the present invention.

When the user operates the recommendation menus 801 and 901 on the chat room screen 800 or the chat room list screen 900, the map screen 1000 centered on the position 1011 specified by the user may be displayed as shown in FIG. The map screen 1000 may be composed of a map showing the current position of the user or the position selected by the user. On the map screen 1000, recommendation information 1020 based on the position 1011 specified by the user may be displayed, and among all the position IDs included in the map screen 1000, the recommendation information is recommended for each position ID in which the photo group exists. 1020 may be displayed. As an example, the recommendation information 1020 is information about a photo group, in which at least one of 1021 representative photographs arbitrarily selected from the group and 1021 photographs classified into the group is used. It may be displayed.

When the user requests the location-based recommendation service on the chat room screen 800 in which the chat partner is specified, only the photos uploaded by the party participating in the chat room may be provided as the recommendation information 1020, and the chat partner may provide the recommendation information 1020. If you request a location-based recommendation service on an unspecified interface screen (for example, chat room list screen 900 or friends list screen (not shown)) or community screen, all that have a predetermined relationship with the user in the relevant community. Photos uploaded by this person (all friends) may be provided as recommendation information 1020.

When there are two or more photo groups by position ID included in the map screen 1000, the ranking based on the recommended points for the photo groups by position ID may be reflected and provided as the recommendation information 1020. At this time, the recommended score may be calculated by adding a weighted value to at least one element of the number of photographs, the number of inquiries, the latestness (time), and the adjacency (position) of each photo group. For example, in the map screen 1000, the higher the number of recommended points or the number of inquiries, the larger the recommended information 1020 for the photo group for each position ID may be displayed.

Further, when the photo groups by position ID are reclassified into categories, the recommendation information 1020 may be displayed by category on the map screen 1000. When a category is selected at the time of the user's service request, only the photographs classified into the category selected by the user among the photographs grouped by the position ID in the map screen 1000 may be provided as the recommendation information 1020.

Referring to FIG. 11, when the user selects the recommendation information 1020 of a specific position ID on the map screen 1000, the detailed service screen 1100 including the photo list 1110 grouped in the corresponding position ID may be displayed. For example, when the user selects the "food" category, the detailed service screen 1100 may display a photo list 1110 classified as "food" in the photo group of the corresponding position ID. At this time, the photo list 1110 is composed of photos belonging to the "food" category, and at this time, it may be grouped and shown by a detailed category, for example, a menu (menu 1, menu 2, menu 3).

Further, the photo list 1110 may reflect the ranking based on the category score for the photo groups for each detailed category. At this time, the recommended score may be calculated by adding a weighted value to at least one element of the number of photographs, the number of inquiries, the latestness (time), and the adjacency (position) of each photo group. The list 1110 may be displayed arranged in descending order of the category score of the photo group by category.

Therefore, in an environment where the user uses a community such as messenger or SNS, the user can use the map screen of the user's current location or the position directly selected by the user to chat with friends or chat in the corresponding place. You can see if it's popular with your roommates, and in the case of food photos, you can see what menus are popular.

In the above description, photographs have been illustrated as examples, but any content in a form that can be provided as location-based recommendation information can be applied.

As described above, according to the embodiment of the present invention, among the contents uploaded to the Internet community for users to communicate with each other, by using the contents including the position data, the recommendation information of the position base can be efficiently obtained. Can be provided to. In particular, according to the embodiment of the present invention, it is possible to recommend the content actually uploaded by a person who has a predetermined relationship with the user in the Internet community on the map of the position specified by the user.

The devices described above may be implemented by hardware components, software components, and / or combinations of hardware components and software components. For example, the apparatus and components described in the embodiments include a processor, a controller, an ALU (arithmetic logic unit), a digital signal processor, a microcomputer, an FPGA (field program gate array), a PLU (programmable log unit), a microprocessor, and the like. Alternatively, it may be implemented using one or more general purpose computers or special purpose computers, such as various devices capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the OS. The processor may also respond to software execution, access data, and store, manipulate, process, and generate data. For convenience of understanding, one processor may be described as being used, but those skilled in the art may appreciate that the processor may include multiple processing elements and / or multiple types of processing elements. You can understand. For example, a processor may include multiple processors or one processor and one controller. Other processing configurations, such as parallel processors, are also possible.

The software may include computer programs, code, instructions, or a combination of one or more of these, configuring the processing equipment to operate at will, or instructing the processing equipment independently or collectively. You may do it. The software and / or data is embodied in any type of machine, component, physical device, computer recording medium or device to be interpreted based on the processing device or to provide instructions or data to the processing device. Good. The software is distributed on a computer system connected by a network and may be recorded or executed in a distributed state. The software and data may be recorded on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed by various computer means and recorded on a computer-readable medium. Here, the medium may be one that continuously records a computer-executable program, or one that temporarily records it for execution or download. In addition, the medium may be a variety of recording or storage means in the form of a combination of single or multiple hardware, and is not limited to a medium directly connected to a computer system, but is distributed over a network. It may exist. Examples of media include hard disks, floppy (registered trademark) disks, and magnetic media such as magnetic tape, optical media such as CD-ROMs and DVDs, optical magnetic media such as floptic disks, and It may include a ROM, a RAM, a flash memory, and the like, and may be configured to record program instructions. In addition, other examples of media include recording media or storage media managed by application stores that distribute applications, sites that supply or distribute various other software, servers, and the like.

As described above, the embodiments have been described based on the limited embodiments and drawings, but those skilled in the art will be able to make various modifications and modifications from the above description. For example, the techniques described may be performed in a different order than the methods described, and / or components such as the systems, structures, devices, circuits described may be in a form different from the methods described. Appropriate results can be achieved even if they are combined or combined, or confronted or replaced by other components or equivalents.

Therefore, even different embodiments belong to the attached claims as long as they are equivalent to the claims.

Claims (19)

It is a method of providing recommendation information realized by a computer.
The stage of collecting photos that are uploaded to the Internet community and contain location data,
The stage of constructing the location infrastructure recommendation information by grouping the collected photographs using the location data, and when a request for the location infrastructure recommendation service is received from the electronic device in the Internet community, the user of the electronic device. Includes the step of providing a map screen that includes the location identified by, and providing grouped photos for the location data in the map on the map screen.
How to provide recommendation information. The collecting stage is
A step of recording a position ID assigned to an area corresponding to the position data of the collected photograph with respect to the collected photograph is included.
The method for providing recommended information according to claim 1. The constituent steps are
A step of classifying the collected photographs into a photo group for a position ID assigned to an area corresponding to the position data of the collected photographs.
The method for providing recommended information according to claim 1. A position ID is assigned to each divided area of the map,
The constituent steps are
A step of forming a photo group for each position ID and grouping photos including the corresponding position ID for each position ID or photos including the position data in an area to which the corresponding position ID is assigned into a photo group for each position ID. including,
The method for providing recommended information according to claim 1. The constituent steps are
It includes a step of image-analyzing a photo group by the position ID and regrouping into a plurality of categories based on the contents of the photos belonging to the photo group.
The method for providing recommended information according to claim 4. The constituent steps are
A step of regrouping the photo groups by position ID into a plurality of categories by using the attribute information and tag information included in the photos belonging to the photo group is included.
The method for providing recommended information according to claim 4. The stage to be provided is
Based on the identification information of the Internet community for which the user requested the location infrastructure recommendation service and the social network information of the user in the Internet community, at least a part of the photographs grouped as the location data is selected and provided. Including the stage of
The method for providing recommended information according to claim 1. The stage to be provided is
When the user requests the location infrastructure recommendation service in a specific chat room of the Internet community, among the photos grouped with respect to the location data in the map, the photos uploaded by the person who participated in the chat room are selected. Including the stage of sorting and providing,
The method for providing recommended information according to claim 7. The stage to be provided is
When the user requests the location infrastructure recommendation service without specifying a chat partner in the Internet community, the social network information of the user in the Internet community among the photos grouped with respect to the location data in the map. Including a step of providing a photo uploaded by at least one other user associated with said user.
The method for providing recommended information according to claim 7. The method of providing recommended information is
When there are a plurality of photo groups by position ID on the map screen, the number of photos, the number of inquiries, the latestness by the photo upload time of each photo group, and the user can specify the photo groups by the plurality of position IDs. Including the step of calculating the recommended score based on at least one element of the adjacency with the position
The providing step includes a step of providing the plurality of photo groups for each position ID by reflecting the ranking based on the recommended points.
The method for providing recommended information according to claim 5 or 6. The calculation stage is
Each photo is weighted for at least two or more factors: the number of photos in each photo group, the number of queries, the up-to-dateness of the photo upload time, and the adjacency to the location specified by the user. Including the step of calculating the recommended score for the group,
The recommended information providing method according to claim 10. The constituent steps are
The step of regrouping the photo groups by position ID into a plurality of categories using the photos belonging to the photo group is included.
The method of providing recommended information is
For the plurality of categories, the category score is based on at least one element of the number of photos in the photo group for each category, the number of inquiries, the latestness by the photo upload time, and the adjacency with the position specified by the user. Including the calculation stage
The providing step includes a step of providing a category-specific photo group for the plurality of categories by reflecting a ranking based on the category score.
The recommended information providing method according to claim 10. A computer program recorded on a computer-readable storage medium in combination with a computer to cause the computer to perform the recommended information providing method according to any one of claims 1 to 9. It is a recommendation information providing system realized by a computer.
Containing memory, including at least one processor, and instructions concatenated with the at least one processor and executable by the at least one processor.
The at least one processor
Collect photos that are uploaded to the internet community and contain location data
The position base recommendation information is constructed by grouping the collected photographs using the position data.
When a request for a location infrastructure recommendation service is received from an electronic device in the Internet community, a map screen including the location specified by the user of the electronic device is provided, and the location data in the map is provided on the map screen. Acts when executing a command to provide grouped photos,
Is configured as
Recommendation information provision system. A position ID is assigned to each divided area of the map,
To configure the location-based recommendation information
A photo group is formed for each position ID, and a photo including the corresponding position ID for each position ID or a photo including the position data in an area to which the corresponding position ID is assigned is grouped into a photo group for each position ID. Including,
The recommendation information providing system according to claim 14. To configure the location-based recommendation information
Includes image analysis of photo groups by location ID and regrouping into multiple categories based on the content of the photos belonging to the photo group.
The recommendation information providing system according to claim 15. Providing the grouped photos
Among the photos grouped with respect to the location data in the map based on the identification information of the Internet community for which the user requested the location infrastructure recommendation service and the social network information of the user in the Internet community, the Internet community Including selecting and providing photos uploaded by at least one other user associated with the user based on the user's social network information in.
The recommendation information providing system according to claim 14. The at least one processor
When there are a plurality of photo groups by position ID on the map screen, the number of photos, the number of inquiries, the latestness by the photo upload time of each photo group, and the user can specify the photo groups by the plurality of position IDs. It is also configured to work when executing a command to calculate a recommendation score based on at least one element of its adjacency to a position.
Providing the grouped photos
The photograph group according to the plurality of position IDs is provided by reflecting the ranking based on the recommended score.
The recommendation information providing system according to claim 15. To configure the location-based recommendation information
Including regrouping the photo groups by position ID into a plurality of categories using the photos belonging to the photo group.
The at least one processor
For the plurality of categories, the category score is based on at least one element of the number of photos in the photo group for each category, the number of inquiries, the latestness by the photo upload time, and the adjacency with the position specified by the user. It is configured to work when executing the command to calculate,
Providing the grouped photos
For the plurality of categories, a photo group for each category is provided by reflecting the ranking based on the category score.
The recommendation information providing system according to claim 18.