KR102489339B1 - Method and system for recommendation using content with location data - Google Patents

Abstract

A recommendation technology using content including location data is disclosed. A method of providing recommendation information includes collecting photos uploaded through an Internet community and including location data; configuring location-based recommendation information by grouping the collected photos using the location data; and when a request for a location-based recommendation service is received from an electronic device through the Internet community, providing a map screen including a location specified by a user of the electronic device, but grouping location data within the corresponding map through the map screen. It includes the step of providing the photos.

Description

Recommendation method and system using content containing location data {METHOD AND SYSTEM FOR RECOMMENDATION USING CONTENT WITH LOCATION DATA}

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

As infrastructure for generating location-based content, for example, a smartphone or a global positioning system (GPS), becomes popular, the use of location-based services is rapidly increasing.

The types of content available to users through location-based services are also diverse, such as photos, music, videos, games, and real-time information content, and the variety of types is gradually increasing.

As an example of a technology that provides a location-based service, Korean Patent Registration No. 10-1556559 (registration date September 23, 2015) provides member store information based on location information where the user is currently located to the user terminal in real time, or Disclosed is a technique for providing a user terminal with information on discounts or mileage use provided by the affiliated store to attract customers and information on affiliated stores with a low current number of users.

Provided is a method and system capable of providing location-based recommendation information using content including location data among content uploaded through an Internet community for communication between users.

Provided is a method and system for recommending contents actually uploaded by people having a predetermined relationship with a user in an Internet community through a map of a location specified by the user.

A method of providing recommendation information implemented by a computer, the method comprising: collecting photos uploaded through an Internet community and including location data; configuring location-based recommendation information by grouping the collected photos using the location data; and when a request for a location-based recommendation service is received from an electronic device through the Internet community, providing a map screen including a location specified by a user of the electronic device, but grouping location data within the corresponding map through the map screen. A location ID is allocated to each divided area of the map, and the forming step comprises configuring a photo group for each location ID, including a photo including a corresponding location ID for each location ID, or grouping photos including the location data of an area to which a corresponding location ID is assigned into photo groups by location ID; and regrouping the photo group for each location ID into a plurality of categories according to the contents of photos belonging to the photo group through image analysis.

According to one aspect, the providing of the grouped photos may include receiving a request for the location-based recommendation service through an interface screen in which at least one conversation partner is specified among interface screens of the Internet community; and selecting and providing a photo uploaded by the conversation partner from among photos grouped for location data in the map according to the received request.

According to another aspect, the providing of the grouped photos may include displaying information on a photo group of a corresponding location ID as the recommendation information for each location ID in which a photo group exists among location IDs included in the map screen, Information on the photo group for each location ID is displayed on the map screen based on at least one of the number of photos of each photo group, the number of views, newness according to photo upload time, and proximity to a location specified by the user. may be displayed differently.

According to another aspect, the providing of the grouped photos may include providing the location data based on identification information of an Internet community from which the user requested the location-based recommendation service and social network information of the user in the Internet community. It may include selecting and providing at least some of the grouped photos.

According to another aspect, the providing of the grouped photos may include, when the user requests the location-based recommendation service through a specific chat room of the Internet community, among the photos grouped for location data in the map, the chat room A step of selecting and providing photos uploaded by participants may be further included.

According to another aspect, the providing of the grouped photos may include photos grouped with respect to location data in the map when the user requests the location-based recommendation service without specifying a conversation partner through the Internet community. The method may further include providing a photo uploaded by at least one other user related to the user according to social network information of the user in the Internet community.

According to another aspect, the method of providing recommendation information may include, when a plurality of photo groups for each location ID exist on the map screen, the number of photos, views, and photo upload of each photo group for the plurality of photo groups for each location ID. Further comprising calculating a recommendation score based on at least one of recency over time and proximity to a location specified by the user, wherein the providing of the grouped photos includes the plurality of location IDs. A step of providing a star photo group by reflecting a ranking according to the recommendation score may be included.

According to another aspect, the calculating may include weighing each of at least two or more elements of the number of photos of each photo group, the number of views, the newness according to the upload time of the photo, and the proximity to the location specified by the user. and calculating a recommendation score for each photo group by assigning a.

Provided is a computer program stored in a computer readable recording medium in order to execute the recommendation information providing method on a computer device.

A computer device, comprising at least one processor configured to execute computer readable instructions included in a memory, wherein the at least one processor includes: collecting a photo uploaded through an Internet community and including location data; configuring location-based recommendation information by grouping the collected photos using the location data; and when a request for a location-based recommendation service is received from an electronic device through the Internet community, providing a map screen including a location specified by a user of the electronic device, but grouping location data within the corresponding map through the map screen. processing a process of providing photos, assigning a location ID to each divided area of the map, and configuring the photo group for each location ID; Photos including the location data in the area to which the corresponding location ID is assigned are grouped into photo groups by location ID, and the photo groups by location ID are classified into a plurality of categories according to the content of photos belonging to the photo group through image analysis. A computer device characterized by regrouping is provided.

According to embodiments of the present invention, location-based recommendation information can be effectively provided by using content including location data among content uploaded through an Internet community for communication between users.

According to embodiments of the present invention, content actually uploaded by people having a predetermined relationship with the user in the Internet community may be recommended through a map of a location specified by the user.

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention.
Figure 2 is a block diagram for explaining the internal configuration of the electronic device and the server in one embodiment of the present invention.
3 is a diagram illustrating an example of a location-based recommendation service environment according to an embodiment of the present invention.
4 is a diagram illustrating an example of components that may be included in a processor of a server according to an embodiment of the present invention.
5 is a flowchart illustrating an example of a method performed by a server according to an embodiment of the present invention.
6 is an exemplary diagram for explaining a process of assigning a location ID to a photo according to an embodiment of the present invention.
7 is an exemplary diagram for explaining a process of classifying photos including location data in one embodiment of the present invention.
8 to 9 illustrate examples of screens capable of requesting a location-based recommendation service according to an embodiment of the present invention.
10 to 11 illustrate examples of screens for providing location-based recommendation information according to an embodiment of the present invention.

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

Embodiments of the present invention relate to a technology for providing a location-based service, and more particularly, to a method and system capable of providing location-based recommendation information using content including location data.

Embodiments including those specifically disclosed in this specification can provide location-based recommendation information using content including location data, and through this, significant advantages in terms of efficiency, effectiveness, convenience, cost reduction, etc. achieve them

1 is a diagram illustrating 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 , and 140 , a plurality of servers 150 and 160 , and a network 170 . 1 is an example for explanation of the invention, and the number of electronic devices or servers is not limited as shown in FIG. 1 .

The plurality of electronic devices 110, 120, 130, and 140 may be fixed terminals implemented as computer devices or mobile terminals. Examples of the plurality of electronic devices 110, 120, 130, and 140 include smart phones, mobile phones, tablet PCs, navigation devices, computers, laptop computers, digital broadcasting terminals, personal digital assistants (PDAs), and PMPs ( Portable Multimedia Player), etc. For example, the first electronic device 110 may communicate with the other electronic devices 120, 130, and 140 and/or the servers 150 and 160 through the network 170 using a wireless or wired communication method.

The communication method is not limited, and short-distance wireless communication between devices as well as a communication method utilizing a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, and a broadcasting network) that the network 170 may include may also be included. For example, the network 170 may include a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), and a broadband network (BBN). , one or more arbitrary networks such as the Internet. In addition, the network 170 may include any one or more of network topologies including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, and the like. Not limited.

Each of the servers 150 and 160 communicates with the plurality of electronic devices 110, 120, 130, and 140 through the network 170 to provide commands, codes, files, contents, services, and the like, or a computer device or a plurality of computers. Can be implemented in devices. For example, the server 160 may provide a file for installing an application to the first electronic device 110 accessed through the network 170 . In this case, the first electronic device 110 may install an application using a file provided from the server 160 . In addition, the server 150 is connected to the server 150 under the control of an operating system (OS) included in the first electronic device 110 or at least one program (for example, a browser or the installed application), and the server 150 provides You may receive a service or content that you do. For example, when the first electronic device 110 transmits a service request message to the server 150 through the network 170 under the control of an application, the server 150 transmits a code corresponding to the service request message to the first It can be transmitted to the electronic device 110, and the first electronic device 110 can provide content to the user by constructing and displaying a screen according to a code under the control of an application.

Figure 2 is a block diagram for explaining the internal configuration of the electronic device and the server in one embodiment of the present invention. In FIG. 2 , internal configurations of the first electronic device 110 as an example of one electronic device and the server 150 as an example of one server are described. Other electronic devices 120 , 130 , and 140 or the 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 random access memory (RAM), a read only memory (ROM), and a permanent mass storage device such as a disk drive. In addition, the memories 211 and 221 may store an operating system or at least one program code (for example, a code for an application installed and driven in the first electronic device 110). These software components may be loaded from a computer readable recording medium separate from the memories 211 and 221 . The separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, software components may be loaded into the memories 211 and 221 through the communication modules 213 and 223 rather than computer-readable recording media. For example, at least one program is a program installed by files provided by developers or a file distribution system (eg, the above-described server 160) that distributes installation files of applications through the network 170 (eg, the above-described server 160). It may be loaded into the memories 211 and 221 based on the above-described application).

The processors 212 and 222 may be configured to process commands of a computer program by performing basic arithmetic, logic, and input/output operations. Instructions may be provided to processors 212 and 222 by memories 211 and 221 or communication modules 213 and 223 . For example, the processors 212 and 222 may be configured to execute instructions received according to program codes stored in a recording device such as the memories 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 through the network 170, and other electronic devices (for example, the second electronic device 120). )) or a function for communicating with another server (for example, the server 160). For example, a request generated by the processor 212 of the first electronic device 110 according to a program code stored in a recording device such as the memory 211 (for example, a search request) is transmitted to the network under the control of the communication module 213. It may be transmitted to the server 150 through 170. Conversely, control signals, commands, 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 to the communication module of the first electronic device 110. It can be received by the first electronic device 110 through 213. For example, control signals or commands of the server 150 received through the communication module 213 may be transmitted to the processor 212 or memory 211, and contents or files may be transferred to the first electronic device 110. Can be stored in a storage medium that can further include.

The input/output interface 214 may be a means for interface with the input/output device 215 . For example, the input device may include a device such as a keyboard or mouse, and the 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 interface with a device in which functions for input and output are integrated into one, such as a touch screen. As a more specific example, the processor 212 of the first electronic device 110 uses data provided by the server 150 or the second electronic device 120 in processing the command of the computer program loaded into the memory 211. The service screen or content configured as above may be displayed on the display through the input/output interface 214 . Similarly, the input/output interface 224 may output information configured using data provided by the server 150 when the processor 222 of the server 150 processes the command of the computer program loaded into the memory 221. there is.

Also, in other embodiments, the first electronic device 110 and the server 150 may include more components than those shown in FIG. 2 . However, there is no need to clearly show most of the prior art components. For example, the first electronic device 110 is implemented to include at least some of the above-described input/output devices 215 or other devices such as a transceiver, a global positioning system (GPS) module, a camera, various sensors, and a database. It may contain more components. As a more specific example, when the first electronic device 110 is a smartphone, an acceleration sensor or gyro sensor, a camera, various physical buttons, buttons using a touch panel, an input/output port, and vibration It can be seen that various components such as a vibrator may be implemented to be further included in the first electronic device 110 .

Hereinafter, specific embodiments of a method and system for providing location-based recommendation information using content including location data will be described.

A computer-implemented recommendation information providing system may be configured in the server 150 according to the present embodiment. The server 150 provides a location-based recommendation service to a plurality of electronic devices 110, 120, 130, and 140, which are clients. Recommendation information corresponding to a service request through an installed dedicated application or a web/mobile site connection related to the server 150 may be provided.

Referring to FIG. 3 , the server 150 may act as a recommendation server providing a location-based recommendation service, implemented as one service platform with a community server providing community services, or implemented as a separate service platform. A location-based recommendation service may be provided through linkage with a community service in conjunction with a community server.

In this specification, community may mean all means of communication on the Internet for communication between users, and may include, for example, a messenger or a social network service (SNS).

When a user transmits content including location data as a message or registers on an SNS, the content may be delivered to a destination (other users or SNS) after the location data is removed. In this case, the server 150 may construct location-based recommendation information using content uploaded through an Internet community and includes location data, and may provide the location-based recommendation information to a user requesting a location-based recommendation service.

In this specification, content may encompass all information provided through the Internet, and may include, for example, photos, images, videos, voices, documents, music, and the like. In the following specific embodiments, a photograph will be described as a representative example of content, but is not limited thereto.

4 is a diagram showing an example of components that may be included in a processor of a server according to an embodiment of the present invention, and FIG. 5 shows an example of a method that a server may perform according to an embodiment of the present invention. It is the flow chart shown.

In order for the server 150 to perform the recommendation information providing method according to FIG. 5, the processor 222 of the server 150 is a component, as shown in FIG. 4, a collection unit 410, an information configuration unit 420 ), a ranking calculation unit 430, and an information providing unit 440 may be included. Depending on embodiments, components of the processor 222 may be selectively included in or excluded from the processor 222 . Also, components of the processor 222 may be separated or merged to express functions of the processor 222 according to embodiments.

The processor 222 and components of the processor 222 may control the server 150 to perform steps S510 to S540 included in the method of providing recommendation information of FIG. 5 . For example, the processor 222 and components of the processor 222 may be implemented to execute instructions according to an operating system code and at least one program code included in the memory 221 .

Here, components of the processor 222 may be representations of different functions of the processor 222 performed by the processor 222 according to instructions provided by program codes stored 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 above-described command so that the server 150 collects content including location data.

In step S510, the processor 222 may read necessary commands from the memory 221 loaded with commands related to the control of the server 150. In this case, the read command may include a command for controlling the processor 222 to execute steps S520 to S540 to be described later.

In operation S520 , the collection unit 410 may collect photos including location data among photos uploaded from the plurality of electronic devices 110 , 120 , 130 , and 140 . The collection unit 410 may collect the photos as content usable in the location-based recommendation service when users take and upload photos including location data in an Internet community for communication between users, such as a messenger or SNS. In the case of a user who has accepted location sharing in advance, location data of the electronic devices 110, 120, 130, and 140 may be received along with the photo during the photo upload process, and stored in a database associated with the server 150. By doing so, it is possible to collect photos with location data. At this time, the location data stored on the database may be specific location values such as GPS coordinates of the electronic devices 110, 120, 130, and 140, and as another example, instead of specific location values, location data indicating an area to which the location value belongs It may be a location ID (identity). In detail, a method of dividing the entire map into a plurality of regions and assigning a unique location ID to each divided region may be utilized. A location ID corresponding to a corresponding location value is stored as approximate location information, rather than storing a specific location value obtained from the electronic device. In addition, the location data may be a location value automatically acquired by the electronic device through a GPS or the like, or may be location information directly input by a user. Also, in the process of collecting photos including location data, the collection unit 410 may store identification information (eg, userID) of a user who uploaded the corresponding photo and community identification information together as information related to the photo. At this time, the community identification information is information about the community to which the user has sent the photo. For example, in the case of a messenger (individual or group), the chat room ID corresponds to the community identification information, and in the case of SNS, the corresponding community ID, etc. corresponds to the community identification information. information may apply.

In step S530, the information configuration unit 420 may configure location-based recommendation information using photos including location data collected on the database. For example, the information configuration unit 420 may group the collected photos using location data. The information composing unit 420 configures a photo group by location ID, and may group photos in which a corresponding location ID is stored or a location value of an area belonging to the corresponding location ID is stored for each location ID. In addition, the information configuration unit 420 may group the collected photos into a plurality of categories according to the contents of the photos through image analysis technology using AI (artificial intelligence) or the like. In addition to image analysis technology, it is also possible to classify photos into various categories by using attribute information included in the photos or tags directly input by the user (for example, food menu names are input in the case of food photos). For example, photos can be classified into background photos and food photos, and food photos can be subdivided and reclassified for each menu. Categories for photo grouping may be pre-determined according to service types or characteristics, and may be classified into various themes such as food, sights, and entertainment, for example. Therefore, the information configurator 420 may first group photos including location data by location ID, further group photos into several categories through image analysis, and have similarities within a certain range within each category. You can regroup the same photos together. As such, the information configuration unit 420 may configure location-based recommendation information by grouping the collected photos based on location IDs and/or image analysis results. The information configuration unit 420 groups the collected photos into photo groups by location ID based on location IDs, and regroups the photo groups by location ID into a plurality of categories based on the image analysis result, thereby recommending location-based information. can be configured.

In step S540, when a request for a location-based recommendation service is received from the user of the first electronic device 110, the information providing unit 440 responds to the corresponding map through a map screen including a location specified by the user. location-based recommendation information may be provided. The location specified by the user may mean the current location of the user obtained from the first electronic device 110 or a location directly selected by the user. When a user's service request is received, the information providing unit 440 may determine a location specified by the user at the time the service request is received and provide a map screen centered on the location. Photos grouped by location ID in the map may be provided as location-based recommendation information. The user's service request may include information on a category selected by the user, and at this time, the information providing unit 440 may select and recommend only photos classified into the category selected by the user from among photos grouped by location ID on the map. . In addition, when a user requests a location-based recommendation service in a specific community, the information providing unit 440 identifies the identification information of the community in which the user requested the location-based recommendation service and the user's social network information in the community, Among the photos grouped by location ID, photos uploaded by people belonging to the corresponding community may be selected and provided as location-based recommendation information. For example, if a user requests a location-based recommendation service in a specific group chat room of Messenger, only photos uploaded by people who participated in that group chat room can be recommended. It is possible to recommend photos uploaded by other users related to the user, for example, people who have a predetermined relationship with the user (eg, friends, colleagues, family, etc.). The information provider 440 provides grouped photos for each location ID within a certain distance based on the location through a map screen of the location specified by the user, but has a relationship with the user in the community where the user requested the service. can select and recommend photos uploaded by people who have been set (other users related to the user who requested the service according to social network information).

When the information providing unit 440 provides a plurality of photo groups as location-based recommendation information (for example, when a plurality of photo groups by location ID exist on a map screen including a location specified by a user or a specific location) When a plurality of photo groups of different categories exist for each ID), a ranking according to a recommendation score may be reflected. At this time, the ranking calculation unit 430 calculates a recommendation score or category score for each photo group for the location ID or category (classified using photos as the result of image analysis of the photo). The recommendation score or category score is It can be calculated by assigning a weight to at least one of the number of photos, views, recency (time), and adjacency (location) of each group. For that group of photos, the higher the number of photos uploaded by users, the higher the number of views of the photo, the more recently uploaded photos (shorter time elapsed since upload), and/or the location ID by the user. A higher recommendation score or category score may be calculated as the location is closer to the specified location. Among the above factors, the number of views and recency may differ for each photo belonging to a group, so the number of views of a photo group is the average of the number of views of photos included in the group or the highest number of views among the views of photos included in the group And, the recency of the photo group can be determined using the upload time of the most recently uploaded photo among the photos included in the group. At this time, not only constant weights are assigned to all elements, but also it is possible to apply different weights according to elements. For example, a weight of 40%, 30%, 20%, 10% or 20, 10, 10, 1 could be applied to the number of photos, views, recency (time), and proximity (location), respectively, and different values for proximity. It may be given a lower weight than the element. As another example, different weights for each element may be applied according to the type or characteristics of a category that is a criterion for classifying photos. For example, in the case of food photos, the highest weight can be assigned to the freshness, and in the case of background photos, the highest weight can be assigned to the number of photos. Therefore, the information provider 440 provides a photo group for each location ID within a certain distance based on the location through the map screen of the location specified by the user as location-based recommendation information, but the ranking calculation unit 430 The photo groups may be provided in the order of recommendation scores by reflecting the calculated ranking. When the photo groups by location ID are regrouped into a plurality of categories, the information providing unit 440 also reflects the ranking of the photo groups by category for the plurality of categories according to the category score and ranks the photo groups in the order of category scores. can provide.

6 is an exemplary diagram for explaining a process of assigning a location ID to a photo according to an embodiment of the present invention.

When a user of the first electronic device 110 uploads a photo including location data through a messenger or a community such as SNS, the collecting unit 410 converts the photo including location data into content usable in the location-based recommendation service. collect As shown in FIG. 6, it is assumed that the entire map 600 is divided into a plurality of regions of a certain size and a location ID is assigned to each divided region. At this time, the collection unit 410 does not store the GPS coordinate values 601 when the photos include the GPS coordinate values 601 representing the exact location of the first electronic device 110 in the process of collecting the photos, but instead store the GPS coordinate values 601. The location ID assigned to the region 610 to which the value 601 belongs may be stored.

It is not limited to this, and in the process of collecting photos, the GPS coordinate values 601 included in the photos are stored as they are, and then, in the grouping process of the information configuration unit 420, the photos including the GPS coordinate values 601 are saved. It is also possible to classify into a photo group for the location ID of the region 610 to which the corresponding GPS coordinate value 601 belongs.

7 is an exemplary diagram for explaining a process of classifying photos including location data in one embodiment of the present invention.

The information configuration unit 420 may configure location-based recommendation information by grouping collected photos based on location IDs and image analysis results. Referring to FIG. 7 , the information configuration unit 420 may group photos collected on the database 151 based on location IDs (eg, location 1 group, location 2 group, ?). Also, the information composing unit 420 may regroup the photo groups for each location ID into detailed categories using photos belonging to each photo group. At this time, regrouping means to subdivide and classify the photos classified by location ID into one or more category depths, and according to the depth, it can be divided into a first level category, a second level category, and ?. For example, the information configurator 420 analyzes images of photos belonging to the position 1 group (position ID = 'position 1'), and then analyzes the background picture group (first level category = 'background') and the food picture group. (First level category = 'food'), and the food photo group can be subdivided and regrouped for each menu (e.g., menu 1 group (second level category = 'menu 1'), menu 2 groups (2nd level category = 'menu2'), etc.).

Accordingly, the information configurator 420 basically classifies photos including location data by location ID and groups them into photo groups by location ID. In the group by location ID, detailed information is provided according to the content of the photo through image analysis. You can regroup by category.

8 to 9 illustrate examples of screens capable of requesting a location-based recommendation service according to an embodiment of the present invention.

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 through which a user can exchange messages with the other party or send and receive various contents such as photos, videos, and voices. In addition to an individual chat room with one other party, a plurality of other parties participate. It may be a group chat room. As shown in FIG. 8 , a chat room screen 800 may include a recommendation menu 801 for a user to request a location-based recommendation service.

9 shows a chat room list screen 900 of a messenger. As shown in FIG. 9 , the chat room list screen 900 may include a chat room list 910 in which chat rooms in which a user exchanges messages or contents with other parties are arranged. For example, the chat room list 910 may be sorted in descending order based on message sending/receiving time, which is one of the existing sorting criteria. there is. At this time, the chat room list screen 900 may include a recommendation menu 901 for a user to request a location-based recommendation service.

The chat room screen 800 or the chat room list screen 900 may additionally include a menu through which a user may select a category of information to be recommended.

8 and 9 are illustrative and not limited thereto, and specific illustrations are omitted, but the user can access the location-based recommendation service through a friend list screen including a messenger friend list or a user interface screen of a community such as SNS. You can provide a menu for access.

10 to 11 illustrate examples of screens for providing location-based recommendation information according to an embodiment of the present invention.

When the user manipulates the recommendation menus 801 and 901 on the chat room screen 800 or the chat room list screen 900, as shown in FIG. 10, the map screen centered on the location 1011 specified by the user ( 1000) may be displayed. The map screen 1000 is composed of a map indicating a user's current location or a location selected by the user. Recommendation information 1020 based on a location 1011 specified by a user may be displayed on the map screen 1000, and among all location IDs included in the map screen 1000, for each location ID where a photo group exists Recommendation information 1020 may be displayed. For example, the recommendation information 1020 is information about a photo group, and at least one of representative photo(s) randomly selected from the corresponding group and the number 1021 of photos classified into the corresponding group may be displayed.

When a user requests a location-based recommendation service through the chat room screen 800 in which a chat partner is specified, only photos uploaded by the chat room participant may be provided as recommendation information 1020, and an interface where the chat partner is not specified When a location-based recommendation service is requested on a screen (eg, a chat room list screen 900 or a friend list screen (not shown)) or a community screen, all people (all friends) who have a predetermined relationship with the user within the community upload One picture may be provided as recommendation information 1020 .

When there are two or more photo groups for each location ID included in the map screen 1000 , a ranking based on a recommendation score for each location ID photo group may be reflected and provided as recommendation information 1020 . In this case, the recommendation score may be calculated by giving a weight to at least one of the number of photos, the number of views, recency (time), and adjacency (location) of each photo group. For example, within the map screen 1000, the recommendation information 1020 for a photo group by location ID may be displayed in a larger size as the recommendation score or the number of views increases.

In addition, when the photo group for each location ID is reclassified into categories, recommendation information 1020 for each category may be displayed on the map screen 1000 . When a category is selected when a user requests a service, only photos classified into the category selected by the user among photos grouped by location ID in the map screen 1000 may be provided as recommendation information 1020 .

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

Also, the photo list 1110 may reflect rankings according to category scores for photo groups for each detailed category. In this case, the recommendation score may be calculated by weighting at least one of the number of photos, views, recency (time), and adjacency (location) of each photo group. For example, the photo list 1110 is classified by category. The category score of the photo group may be sorted and displayed in ascending order.

Therefore, in an environment using a community such as a messenger or SNS, the user can check which place is popular with his acquaintances in the community or the other person in the chat room through the map screen of the current location or directly selected location, and in the case of food photos, which menu You can check if is popular.

Although a photograph has been described as an example in the above, any content that can be provided as location-based recommendation information can be applied.

As such, according to embodiments of the present invention, location-based recommendation information can be effectively provided by using content including location data among content uploaded through an Internet community for communication between users. In particular, according to embodiments of the present invention, content actually uploaded by people having a predetermined relationship with the user in the Internet community may be recommended through a map of a location specified by the user.

The devices described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments include a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), and a programmable PLU (programmable logic unit). logic unit), microprocessor, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. You can command the device. The software and/or data may be embodied in any tangible machine, component, physical device, computer storage medium or device to be interpreted by or to provide instructions or data to a processing device. there is. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. In this case, the medium may continuously store a program executable by a computer or temporarily store the program for execution or download. In addition, the medium may be various recording means or storage means in the form of a single or combined hardware, but is not limited to a medium directly connected to a certain computer system, and may be distributed on a network. Examples of the medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROM and DVD, magneto-optical media such as floptical disks, and ROM, RAM, flash memory, etc. configured to store program instructions. In addition, examples of other media include recording media or storage media managed by an app store that distributes applications, a site that supplies or distributes various other software, and a server.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (10)

In the method of providing recommendation information implemented by a computer,
Collecting photos uploaded through an Internet community and including location data;
configuring location-based recommendation information by grouping the collected photos using the location data; and
When a request for a location-based recommendation service is received from an electronic device through the Internet community, a map screen including a location specified by a user of the electronic device is provided, but grouped for location data in the corresponding map through the map screen steps to provide photos
including,
A location ID is assigned to each segmented area of the map,
The configuration step is
configuring a photo group for each location ID and grouping photos including the corresponding location ID for each location ID or photos including the location data of an area to which the corresponding location ID is allocated into photo groups for each location ID; and
regrouping the photo group by location ID into a plurality of categories;
including,
The step of providing the grouped photos,
Based on at least one of the number of photos of each photo group included in the map screen, the number of views, newness according to photo upload time, and proximity to a location specified by the user, for each photo group by location ID included in the map screen. to display the photo group for each location ID as the recommended information on the map screen;
Displaying recommended information for each category on the map screen for a plurality of categories associated with the photo group
A method for providing recommendation information characterized by. According to claim 1,
The step of providing the grouped photos,
receiving a request for the location-based recommendation service through an interface screen specified by at least one conversation partner among interface screens of the Internet community; and
Selecting and providing a photo uploaded by the conversation partner from among photos grouped for location data in the map according to the received request.
A method for providing recommendation information that includes a. In the method of providing recommendation information implemented by a computer,
Collecting photos uploaded through an Internet community and including location data;
configuring location-based recommendation information by grouping the collected photos using the location data; and
When a request for a location-based recommendation service is received from an electronic device through the Internet community, a map screen including a location specified by a user of the electronic device is provided, but grouped for location data in the corresponding map through the map screen steps to provide photos
including,
A location ID is assigned to each segmented area of the map,
The configuration step is
configuring a photo group for each location ID and grouping photos including the corresponding location ID for each location ID or photos including the location data of an area to which the corresponding location ID is allocated into photo groups for each location ID; and
Regrouping the photo group for each location ID into a plurality of categories according to the contents of photos belonging to the photo group through image analysis.
including,
The step of providing the grouped photos,
Among the location IDs included in the map screen, for each location ID where a photo group exists, information on the photo group of the corresponding location ID is displayed as the recommendation information, and the latest information according to the number of photos, the number of views, and the photo upload time of each photo group is displayed. Differently displaying information on the photo group for each location ID on the map screen based on at least one of a last name and proximity to a location specified by the user.
A method for providing recommendation information characterized by. According to claim 1,
The step of providing the grouped photos,
Selecting and providing at least some of the photos grouped with the location data based on identification information of an Internet community from which the user requested the location-based recommendation service and social network information of the user in the Internet community.
A method for providing recommendation information that includes a. According to claim 4,
The step of providing the grouped photos,
Selecting and providing photos uploaded by people participating in the chat room from among photos grouped for location data in the map when the user requests the location-based recommendation service through a specific chat room of the Internet community
A method for providing recommendation information further comprising a. According to claim 4,
The step of providing the grouped photos,
When the user requests the location-based recommendation service without specifying a conversation partner through the Internet community, the user according to social network information of the user in the Internet community among photos grouped for location data in the map. providing a photo uploaded by at least one other user associated with
A method for providing recommendation information further comprising a. In the method of providing recommendation information implemented by a computer,
Collecting photos uploaded through an Internet community and including location data;
configuring location-based recommendation information by grouping the collected photos using the location data; and
When a request for a location-based recommendation service is received from an electronic device through the Internet community, a map screen including a location specified by a user of the electronic device is provided, but grouped for location data in the corresponding map through the map screen steps to provide photos
including,
A location ID is assigned to each segmented area of the map,
The configuration step is
configuring a photo group for each location ID and grouping photos including the corresponding location ID for each location ID or photos including the location data of an area to which the corresponding location ID is allocated into photo groups for each location ID; and
Regrouping the photo group for each location ID into a plurality of categories according to the contents of photos belonging to the photo group through image analysis.
including,
The method of providing the recommendation information,
When a plurality of photo groups for each location ID exist on the map screen, the number of photos of each photo group, the number of views, the latest according to photo upload time, and the location specified by the user for the plurality of photo groups for each location ID Calculating a recommendation score based on at least one element of adjacency with
Including more,
The step of providing the grouped photos,
Providing the photo groups according to the plurality of location IDs by reflecting the ranking according to the recommendation score
A method for providing recommendation information that includes a. According to claim 7,
The calculating step is
A recommendation score for each photo group is calculated by weighting at least two or more factors among the number of photos, the number of views, the latest according to the upload time of the photo, and the proximity to the location specified by the user. step to do
A method for providing recommendation information that includes a. A computer program stored in a computer readable recording medium in order to execute the method of providing recommendation information according to any one of claims 1 to 8 in a computer device. In a computer device,
at least one processor configured to execute computer readable instructions contained in memory;
including,
The at least one processor,
The process of collecting photos uploaded through Internet communities and containing location data;
configuring location-based recommendation information by grouping the collected photos using the location data; and
When a request for a location-based recommendation service is received from an electronic device through the Internet community, a map screen including a location specified by a user of the electronic device is provided, but grouped for location data in the corresponding map through the map screen process of providing photos
processing,
A location ID is assigned to each segmented area of the map,
The construction process is
Organizing a photo group for each location ID, grouping a photo including a corresponding location ID for each location ID or a photo including the location data of an area to which the corresponding location ID is assigned into a photo group for each location ID;
Regrouping the photo group by location ID into a plurality of categories;
The process of providing the grouped photos,
Based on at least one of the number of photos of each photo group included in the map screen, the number of views, the newness according to the photo upload time, and the proximity to the location specified by the user for each photo group included in the map screen Displaying the photo group for each location ID as the recommended information on the map screen;
Displaying recommended information for each category on the map screen for a plurality of categories associated with the photo group
Characterized by a computer device.

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