KR20140006516A - System and method for providing location based contents service - Google Patents

Abstract

The present invention relates to a system and method for providing a location-based content recommendation service, the system comprising: a user terminal for transmitting zone recognition information to a content recommendation server if entering a specific zone is recognized, and receiving a content recommendation list from the content recommendation server; and the content recommendation server for providing the user terminal with a content recommendation list based on a type of content provided in the specific zone and preferred content information of a corresponding user, according to reception of the zone recognition information. [Reference numerals] (100) User terminal; (200) Content recommendation server; (AA) Communication network

Description

System and Method for providing location based contents service

The present invention relates to a system and method for providing a location-based content recommendation service. More particularly, when a user terminal enters a specific zone, the zone recognition information is transmitted to a content recommendation server, and the content recommendation server transmits a specific zone. The present invention relates to a system and method for providing a location-based content recommendation service for providing a user terminal with a content recommendation list based on a content type provided by a user and preferred content information of a corresponding user.

At present, with the widespread use of personal terminals such as computers, PDAs, and mobile phones, most users own at least one terminal. As such, in the current situation in which users own a personal terminal, users access their own content service server through a network using their own terminal, select a desired content, and play or download a content service. Is using.

In addition, the use of location-based content services is increasing rapidly as infrastructure for generating location-based content, for example, mobile terminals, GPS, and camera phones, becomes popular. In addition, the type of content available to the user is also diverse, such as images, music, video, games, real-time information content, etc., the variety of the type is gradually increasing.

However, the conventional location-based content providing service is a manner in which the content provider unilaterally provides the content to the service users. Accordingly, since the content receiver receives indiscriminate service from the content provider, the content receiver does not receive the desired content or wastes time searching for the desired content.

In addition, in providing location-based content, there is a disadvantage in that content is provided unilaterally by a content providing service without reflecting a user's preference.

Korean Laid-Open Patent No. 2005-0116254 (December 15, 2005), title of the invention: Movie related media list and service providing system according to user's preference

The present invention has been made to solve the above problems, and an object thereof is to provide a system and method for providing a content-based content recommendation service that can recommend content by reflecting the location and preference of the user.

Another object of the present invention is to recommend content that can be used in a zone when the user enters a specific zone, and location-based content recommendation that a user can select (purchase) a specific content from a content recommendation list. To provide a service providing system and method.

It is still another object of the present invention to provide a system and method for providing a location-based content recommendation service for recommending content of the same taste through analysis of user's content usage history-based taste analysis.

It is still another object of the present invention to provide a system and method for providing a location-based content recommendation service that can increase a user's participation rate by providing content to a user based on analysis results of a user's preference, current location, and current state. .

Another object of the present invention is to recommend a content that is well received by users with similar tastes, a system and method for providing a location-based content recommendation service that users can selectively view movies recommended by people similar to their tastes To provide.

According to an aspect of the present invention to achieve the above object, a user terminal for transmitting the zone recognition information to the content recommendation server, and receives the content recommendation list from the content recommendation server, when a specific zone entry is recognized, In response to receiving the zone recognition information, the location-based content recommendation service providing system including a content recommendation server for providing the user terminal with a content recommendation list based on the content type provided by the specific zone and the preferred content information of the user. Is provided.

When the content recommendation server receives the preferred content information, the content recommendation server determines whether there is a content group by users having similar content similar to that of the user, and if the content recommendation server exists, assigns the user to the content group. Create a content group by selecting and grouping all users who have the preferred content information if it does not exist, and generating a content recommendation list by setting the ranking of the contents based on the content ratings of the users belonging to the generated content group. If the zone recognition information is received from the user terminal after storing the generated content recommendation list in the content group information database, the content type provided in the specific zone and the content group of the corresponding user are checked, and the content Remind group of content recommendation list It may be extracted from the content group information database and provided to the user terminal.

In addition, when the zone recommendation information is received, the content recommendation server checks the content type provided by the zone and user preference content information corresponding to the content type, and groups a group of users having similar content similar to the user. After generating the, a content recommendation list in which the ranking of the contents provided in the zone is set based on the content ratings of the users belonging to the content group may be generated and provided to the user terminal.

When the zone recognition information is received, the content recommendation server checks the content type provided by the zone and the content usage history of the corresponding user corresponding to the content type, and selects preferred content information based on the content usage history. And determine the ranking of the contents provided in the zone based on the determined preferred content information and provide the ranking to the user terminal.

According to another aspect of the present invention, a communication unit for communicating with a content recommendation server through a communication network, an input unit for receiving a user request, and when a specific zone entry is recognized, transmitting zone recognition information to the content recommendation server through the communication unit. A user terminal including a location recognizing unit, a content request processing unit for receiving a content recommendation list based on a content type provided in the specific zone and user's preferred content information from the content recommendation server is provided.

According to another aspect of the present invention, a communication unit for communication with the user terminal through a communication network, a content information database in which information on content provided by each zone is stored, a user information database in which user information is stored, and a user terminal through the communication unit When the zone recognition information is received from the content recommendation server including a content recommendation unit for providing the user terminal with a content recommendation list based on the type of content provided in the zone and the preferred content information of the user.

The content recommendation server may include a content group information database in which information about content groups generated based on each preferred content information is stored, a user information manager that receives or collects preferred content information of users and registers the information in the user information database, and the user information. When the preferred content information is registered by the management unit, the content group information database is searched to determine whether there is a content group by users having similar preference content as the user, and if the result is found, the user Is assigned to the corresponding content group, and if it does not exist, the user information database is searched to select and group all users having the preferred content information to create a content group, and users belonging to the created content group. Set the priority of the content based on content evaluation by generating a content recommendation list, and may further include a content group created to store the generated content recommendation list in the content group information database.

When the zone recommendation information is received from the user terminal, the content recommendation unit checks the content type provided by the zone and the content group of the user, extracts a content recommendation list of the content group from the content group information database, and It can be provided to the user terminal.

When the zone recognition information is received from the user terminal, the content recommendation unit checks the content type provided in the corresponding zone and the preferred content information corresponding to the content type, searches the user information database, and checks the identified preference. After selecting and grouping all users with content information to create a content group, transmitting a content review request message for content provided by the zone to user terminals belonging to the content group and receiving content review information, After extracting the information on the rating given to each content from the content rating information and calculating the rating sum information of each content, sorting the ranking of all the content based on the rating sum information, and the predetermined number corresponding to the upper rank Provide the content to the user terminal as a recommended content list. There.

When the zone recognition information is received from the user terminal, the content recommendation unit checks the content type provided by the corresponding zone and the content usage history of the corresponding user corresponding to the content type, and based on the content usage history. The content information may be determined, and the ranking of the contents provided in the corresponding zone may be set and provided to the user terminal based on the determined preferred content information.

When the zone recognition information is received from the user terminal, the content recommendation unit checks the content type provided in the corresponding zone and the content group of the corresponding user corresponding to the content type, and checks the content rating of the users belonging to the content group. The content recommendation list may be generated by setting the ranking of the contents provided in the corresponding zone based on the ranking, and the content recommendation list may be provided to the user terminal.

The content recommendation unit may provide the user terminal with a content recommendation list based on at least one of a user's biorhythm, a user's mood, a user's age, and weather.

The content recommendation server further searches the content information database and, if there is a content group in which the content corresponding to the preferred content is updated, transmits a content co-purchase message including the content to a user terminal belonging to the content group. It may include.

According to still another aspect of the present invention, in a method of providing a content recommendation service by a content recommendation server, (a) when zone recognition information is received from a user terminal, the type of content provided by the zone and A location-based content recommendation service providing method comprising transmitting a content recommendation list based on preferred content information to the user terminal is provided.

The method for providing a location-based content recommendation service may determine whether a content group exists by users having preferred content similar to the user when the user's preferred content information is received or collected before step (a). Step, if present, assigns the user to the corresponding content group, and if not present, selects and groups all users having the preferred content information to generate a content group, and the user belonging to the generated content group. The method may further include generating a content recommendation list by setting the ranking of the contents based on the content rating, and storing the generated content recommendation list in a content group information database.

In the step (a), when the zone recognition information is received from the user terminal, the content type provided by the zone and the content group of the corresponding user are checked, and the content recommendation list of the content group is determined from the content group information database. Can be extracted and provided to the user terminal.

In addition, in the step (a), when the zone recognition information is received, confirming the content type provided in the corresponding zone and the preferred content information corresponding to the content type, searching the provided user information database to confirm Selecting and grouping all users having the preferred content information, and generating a content group, transmitting a content review request message for contents provided by the zone to user terminals belonging to the content group, and receiving content review information Extracting information on the ratings given to the respective contents from the content review information and calculating the rating sum information of the respective contents; sorting the ranking of all the contents based on the rating sum information, and corresponding to a higher rank. Generating a certain number of contents to a recommended content list. Can.

Also, when the zone recognition information is received, step (a) may include checking a content type provided by the zone and a content usage history of the corresponding user corresponding to the content type, based on the content usage history. The method may include determining preferred content information and generating a content recommendation list in which the ranking of the contents provided in the zone is set based on the determined preferred content information.

According to the present invention, the content may be recommended by reflecting the location and preference of the user.

In addition, when a user enters a specific zone, the user may recommend contents available in the zone, and the user may select (purchase) a specific content from a content recommendation list.

In addition, the content of the same taste can be recommended through analysis of the content usage history based taste of the user.

In addition, by providing the content to the user based on the analysis result of the user's preference, current location, and current state, it is possible to increase the service participation rate of the user.

In addition, by recommending content that is well received by users with similar tastes, the user can selectively view movies recommended by people similar to his or her taste.

1 is a view showing a location-based content recommendation service providing system according to the present invention.
Figure 2 is a block diagram schematically showing the configuration of a user terminal according to the present invention.
3 is a block diagram schematically showing the configuration of a content recommendation server according to the present invention;
4 is a diagram illustrating a method for providing a location-based content recommendation service according to the present invention.
5 to 7 are flowcharts illustrating a method for providing a content recommendation service by a content recommendation server according to an exemplary embodiment of the present invention.

The foregoing and other objects, features, and advantages of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which: FIG.

1 is a view showing a location-based content recommendation service providing system according to the present invention.

Referring to FIG. 1, when the zone recognition information is received from the user terminal 100, the location-based content recommendation service providing system generates a content recommendation list based on the user's preferred content information, and provides the content recommendation list to the user terminal 100. And a content recommendation server 200.

When the user terminal 100 is recognized to enter a specific zone, the user terminal 100 transmits the zone recognition information to the content recommendation server 200, and receives and displays the content recommendation list based on the zone recognition information from the content recommendation server 200. do. Here, a zone is a place such as a movie theater, a coffee shop, a jjimjilbang, etc., and each zone is given unique identification information. The zone identification information may be identification information corresponding to a bar code, a two-dimensional code, a QR code, an RFID tag, etc. installed for location identification of zones, or may be preset identification information according to location information of each zone. The content may include movies, music, advertisements, photos, games, and the like, but is not limited thereto. The content recommendation list may include a content list form or a thumbnail image, a brief description, a rating, or the like of the content.

In addition, when a specific content is selected from the content recommendation list received from the content recommendation server 200, the user terminal 100 may process the reservation or purchase of the content.

The user terminal 100 may be any user device including a communication function. For example, laptops, mobile communication terminals, smart phones, portable media players (PMPs), personal digital assistants (PDAs), tablet PCs, set-top boxes, smart TVs, and the like. It can be a variety of devices.

More detailed description of the user terminal 100 will be described with reference to FIG. 2.

The user terminal 100 and the content recommendation server 200 are connected through a communication network, and the communication network includes a local area network, a wired communication network, a wireless communication network, and the like. For example, a wireless LAN (WLAN), a Wi-Fi (Wi-Fi), Wibro, Wimax, High Speed Downlink Packet Access (HSDPA), Ethernet, xDSL (ADSL, VDSL), Hybrid Fiber Coaxial Cable (HFC), Fiber to The Curb (FTTC), Fiber (FTTH) To The Home).

When the zone recognition information is received from the user terminal 100, the content recommendation server 200 provides the user terminal 100 with a content recommendation list based on the content type provided in the corresponding zone and the preferred content information of the corresponding user.

That is, when the zone recommendation information is received from the user terminal 100, the content recommendation server 200 checks the content type provided by the zone and the content group of the corresponding user, and checks the content recommendation list of the content group. It may be extracted from the information database and provided to the user terminal 100. In this case, the content group of the user is stored in advance in the content group information database.

In addition, when the zone recommendation information is received, the content recommendation server 200 generates a content recommendation list by setting the ranking of the contents provided in the zone based on the user's preferred content information, and uses the content recommendation list as the user. Provided to the terminal 100. The zone recognition information may include zone identification information, user identification information, and the like.

That is, when the zone recommendation information is received, the content recommendation server 200 checks the type of content provided in the corresponding zone and checks user preference content information corresponding to the content type. Thereafter, the content recommendation server 200 creates a content group by grouping users who have preferred content similar to the user, and sets the ranking of the contents provided in the zone based on the content ratings of the users belonging to the content group. Create a content recommendation list.

For example, it is assumed that John is a movie theater A, and user A's preferred movie information is 'comic film'. The content recommendation server 200 confirms that the content type provided by the zone A is 'movie', and the user's preferred movie information is 'comic movie'. Thereafter, the content recommendation server 200 creates a content group by grouping users whose preferred movie is a 'comic movie' among users registered in the user information database, and displays the content in the A movie theater to users belonging to the content group. Receive a response by inquiring a review of the movies that are scheduled to be shown. Then, the content recommendation server 200 generates a movie recommendation list by setting the ranking of the contents to be screened or screened in the movie theater A based on the reviews of the movies, and transmits the movie recommendation list to the user A terminal. Through this, the user can selectively view the movies recommended by users similar to his or her taste.

In addition, when the zone recognition information is received, the content recommendation server 200 determines the type of content provided in the corresponding zone, and checks the user's content usage history corresponding to the content type. Thereafter, the content recommendation server 200 determines preferred content information based on the content usage history, sets the ranking of the contents provided in the zone based on the determined preferred content information, and provides the content to the user terminal 100. can do.

For example, it is assumed that John is A movie theater, and user A's movie usage history is A comic movie, B comic movie, C action movie, D comic movie.

The content recommendation server 200 determines that the type of content provided by zone A is 'movie', and the preferred movie of user A is 'comic movie', and prioritizes a comic film among movies that are to be screened or screened at A theater. A movie recommendation list can be provided to the user. Here, the user's favorite movie is determined using only the genre of the movie use history, but the movie recommendation list may be generated by combining not only the genre but also the director and the actor. For example, if an actor named 'Hong Gil-dong' appears in three of four movies watched by User A, the content recommendation server 200 determines that the user A likes Hong Gil-dong and the actor Hong Gil-dong. The appearing movie may be generated as a movie recommendation list and provided to a terminal of user A.

In addition, the content recommendation server 200 may also recommend other types of content suitable for the preferred content information in addition to the content corresponding to the preferred content information. For example, in addition to a list of movies corresponding to a favorite movie, music, DVD, etc. corresponding to the favorite movie may be recommended together.

In addition, the content recommendation server 200 may sort the contents in the order of purchase or purchase of the contents provided in the corresponding zone, and may provide a predetermined number of contents arranged above the content recommendation list.

In addition, the content recommendation server 200 collects and stores preferred content information of users registered as members from social network servers, and when zone recognition information is received from the user terminal 100, the zone based on the corresponding preferred content information. The ranking of the contents provided by the may be provided to the user terminal 100. Here, the social network server may include, for example, Facebook, and the content recommendation server 200 may collect preferred content information of users registered as members from the social network server in real time or periodically. In this case, users should access a social network server using their terminal and input preferred content.

In addition, when the zone recognition information is received from the user terminal 100, the content recommendation server 200 may recommend content based on at least one of the user's biorhythm, the user's mood, the user's age (age), and the weather. It may be.

A detailed description of the content recommendation server 200 will be made with reference to FIG. 3.

In the above description, when the user terminal 100 enters a specific zone, the content recommendation server 200 recommends content through zone recognition. However, the user terminal 100 does not enter a specific zone and performs web / wap. You can also recommend content through. For example, when the user terminal 100 requests the content recommendation by accessing the content recommendation server 200 through web / wap, the content recommendation server 200 may provide the user's preferred content information, content usage history, biorhythm, You can recommend content based on user mood, age, and weather.

Hereinafter, a method of recommending content through zone recognition will be described.

2 is a block diagram schematically showing the configuration of a user terminal according to the present invention.

Referring to FIG. 2, the user terminal 100 includes a communication unit 110, an input unit 120, an output unit 130, a storage unit 140, a location recognition unit 150, a content request processing unit 160, and content purchase. It includes a processing unit 170.

The communication unit 110 is a communication means for connecting the user terminal 100 and the content recommendation server to each other through a communication network. For example, a wireless communication module such as CDMA and W-CDMA, a wired communication module such as the Internet, and a local area such as Wi-Fi, etc. It may include a wireless communication module.

The input unit 120 is a means for receiving a user request for controlling the operation of the user terminal 100. The input unit 120 converts a user's request into an electric signal according to a user's operation.

The input unit 120 may include key input means for receiving letters, numbers, and text information from a user, voice recognition means for receiving a user's voice or audio signal through a microphone, and a camera for capturing an image by capturing a predetermined object. It may include an image acquisition means, an RFID reader, a code reader. The key input means may be implemented as a keyboard, a keypad, a touch screen, or the like.

The user may write a response to the content review request message received from the content recommendation server through the input unit 120.

The output unit 130 may process the display through display means for displaying screen information according to driving of an application, for example, a liquid crystal display (LCD) or organic light emitting diodes (OLED).

In addition, the output unit 130 may be a voice output means for outputting a voice or audio signal.

The location recognizing unit 150 recognizes whether a specific zone has been entered through the current location measurement, and transmits the zone recognition information to the content recommendation server through the communication unit 110 when the specific zone entry is recognized. Here, the zone recognition information may include user identification information and zone identification information, and the user identification information may include user terminal identification information, user ID / password, and the like.

That is, the location recognizing unit 150 tags the bar code, the two-dimensional code, the QR code, etc. installed in the zone, and enters the content recommendation service zone when the zone identification information corresponding to the tagged code is recognized. I can recognize it. In this case, the storage unit 140 stores zone identification information corresponding to identification information of codes installed in each zone, one or more codes (tags) may be installed in each zone, and identification of codes installed in the same zone. The information may be different, but the zone identification is the same.

In addition, the location recognition unit 150 measures the current location using GPS, received signal strength, and the like, and transmits the measured location information to the content recommendation server so that the zone information including the zone identification information from the content recommendation server is stored. If received, it may be recognized that the content recommendation service zone has been entered. In this case, the location information corresponding to the zone identification information is stored in the content recommendation server, respectively, and the content recommendation server checks whether the zone identification information corresponding to the location information exists and includes the zone identification information if present. The zone information is transmitted to the user terminal 100.

In addition, when the location information corresponding to the zone identification information is stored in the storage 140, the location recognizing unit 150 measures the current location, and the zone identification information corresponding to the location information exists in the storage 140. Determine whether or not. If the zone identification information exists as a result of the determination, the location recognition unit 150 may recognize that the user terminal 100 has entered the content recommendation service zone.

The content request processing unit 160 receives and displays from the content recommendation server a content recommendation list based on the type of content provided in a specific zone based on the zone recognition information and the user's preferred content information. In this case, the content request processing unit 160 may output a message or voice informing that the content recommendation list has been received, and display the content recommendation list when the user requests the display of the content recommendation list. In addition, when the content recommendation list is received, the content request processing unit 160 may display the content recommendation list immediately without notifying the reception of the content recommendation list. Whether or not to receive the content recommendation list reception depends on information set by the user in the location-based content recommendation application.

For example, if the zone is a movie theater A, the content recommendation list may be a list of movies recommended among movies being screened or scheduled to be screened at the movie theater A. In addition, the content recommendation list may be a list of records, DVDs, and the like that match the user movie taste.

If a specific content is selected from the content recommendation list, the content purchase processor 170 may process the reservation or purchase of the specific content.

That is, when a specific content is selected from the content recommendation list, the content purchase processor 170 displays a payment screen for purchasing (purchasing) the specific content. The user may input (purchase) specific content by inputting payment information through a payment screen.

3 is a block diagram schematically showing the configuration of a content recommendation server according to the present invention.

Referring to FIG. 3, the content recommendation server 200 may include a communication unit 210 for communicating with a user terminal through a communication network, a content information database 240 storing information about contents provided by each zone, and a user. The user information database 250 stores profile information, a content group information database 260, a user information manager 220, a content group generator 230, and a content recommender 235.

The content information database 240 stores zone identification information and content information corresponding to the identification information. Here, the content information may include movies, music, advertisements, photos, games, and the like, but is not limited thereto.

For example, when John is an A movie theater, the content information may be movie information (including release date, genre, director, actor, etc.), viewing review information, and the like for the current screening and scheduled production. Genres can be divided into comic films, action films, horror films, and melodrama.

In addition, the content information database 240 stores code identification information or location information corresponding to the zone identification information. Zone identification information may be used to determine whether the user terminal has entered the content recommendation service zone. The location information corresponding to the zone identification information may be a specific point (location), but may also be a location range in which the corresponding zone is located.

The user information database 250 stores identification information of a registered user, visited zone history information, content usage history information, content preference information, and the like corresponding to the identification information. Here, the user identification information may be user terminal identification information, ID / password, and the like. The visited zone history information may be details of a zone visited by the user. The content usage history information includes a history of the content used by the user (including a purchase and a purchase), a use time, and the like. The content preference information may be information set based on the content usage history information of the user or information registered by the user. In addition, the content preference information is set for each content type such as preferred movie information and preferred music information. The favorite movie information may include a favorite movie genre, a favorite movie director, a favorite movie director, and the like, and the preferred music information may include a favorite music genre, a favorite singer, and the like.

In addition, the user information database 250 stores information about content groups for each type of content to which each user belongs. For example, in the case of user A, information about a content group for a favorite movie and a content group for a favorite music is stored.

The content group information database 260 stores information about a content group generated based on preferred content information of each user. Here, the information about the content group includes a content group name, user information belonging to each content group, a content recommendation list, and the like.

When the user profile information is received from the user terminal through the communication unit 210, the user information manager 220 stores the user profile information in the user information database 250. The user profile information may include basic information including name, age, address, content preference information, and the like.

In addition, the user information manager 220 may collect a content usage history of a user registered as a member and store it in the user information database 250. For example, the user information management unit 220 searches a content booking server such as CGI V, Interpark, GMarket, and the like, collects the content reservation (or purchase) history of a registered user, and uses the collected information as a user information database ( 250). In this case, the user information manager 220 may determine the preferred content information of the corresponding user based on the content usage history and store it in the user information database 250.

In addition, the user information manager 220 may collect preferred content information of users registered as members from social network servers and store the collected content information in the user information database 250. Here, the social network server may include, for example, Facebook, and the user information manager 220 may collect preferred content information of users registered as members from the social network server in real time or periodically.

When the content group generation unit 230 receives (or stores) preferred content information of each user, the content group generator 230 searches the content group information database 260 to determine whether there is a content group by users having similar preference content as the user. It determines whether or not, and assigns the user to the content group or create a new content group according to the determination result. When creating a new content group, the content group generation unit 230 sets a ranking of the contents based on the content ratings of the users belonging to the generated content group, generates a content recommendation list, and generates the content recommendation list. Stored in the group information database 260.

For example, if user A prefers 'comic movie', user A is grouped with people who like 'comic movie' and the various information generated by the group members (e.g. those who like comic film) Film information, music information, etc., which is well received by the company. Subsequently, if it is determined that user A has entered the movie theater, a movie ranking list rated by the group members may be provided. If user A has determined that the user has entered the record purchase shop, the music ranking list evaluated by the group members may be provided. Can be provided. According to the above, the user can be provided with content information that people with a similar taste as favorable.

That is, when the preferred content information is received from the user terminal, the content group generator 230 generates a content group by grouping users having similar preferred content as the user. At this time, the preferred content information varies by content type such as preferred movie information, preferred music information, and preferred game information. Therefore, the content group generator may generate a content group for each content type.

Then, the content group generation unit 230 transmits a content review request message for the content corresponding to the generated content group to the user terminals belonging to the content group. The content review request message may be in the form of a content list or the like. The users who have received the content review request message reply by inputting a rating or evaluation phrase for the contents included in the content list. That is, the users assign ratings to the contents included in the content rating request message, and the user terminal transmits the rating content rating information to the content recommendation server. Then, the content group generation unit 230 collects content rating information from the user terminals, extracts information on the rating given to each content from the collected content rating information, and calculates the rating sum information of each content .

According to another embodiment of the present invention, the users who have received the content review request message may indicate whether the contents included in the content list are used or give a rating to each of the contents. Then, the content group generator 230 may extract information on the ratings given to the respective contents from the content review information, and calculate the sum of the sum information of the respective contents by assigning a weight to the used contents.

Thereafter, the content group generation unit 230 sorts the ranking of all the contents based on the sum score information, generates a predetermined number of contents corresponding to the higher ranking as a recommended content list, and stores the contents in the content group information database 260.

For example, the preferred movie information of user A will be described as a comic movie. The content group generator 230 searches the content group information database 260 to determine whether there is a comic film group grouped by people who like the comic film. As a result, if there is a comic film group, the content group generator 230 assigns user A to the comic film group. If the comic film group does not exist, the content group generator 230 searches the user information database 250 and the favorite movie is 'Comic movie'. Group a group of users to create a comic film group. Then, the content group generator 230 transmits a content review request message including a list of movies being screened or to be screened to user terminals belonging to the comic film group. Receiving the content review request message, the user inputs and returns a rating in the form of 10 points, 9 points, etc. for each movie in the movie list. Then, the content group generation unit 230 calculates the ratings of the movies, sorts them by the highest rating, and generates and stores a list of recommended movies in order of the movies sorted at the top.

If the evaluation phrase is received in response to the content review request message from the user terminals, the content group generator 230 analyzes the evaluation phrase through natural language processing and assigns a predetermined score to each evaluation phrase, The ratings for each content are added together. Thereafter, the content group generating unit 230 sorts the content lists in the order of highest rating, generates a recommended content list in the order sorted above, and stores the content list in the content group information database 260.

For example, it is assumed that scores are given by phrases, such as 10 points for 'very good', 7 points for 'good', 5 points for 'just so', and 3 points for 'worst'. This will be described. The content group generation unit 230 compares the evaluation phrases returned from the user terminals with preset phrases and assigns scores to each other, and calculates the scores for each movie to sort the movies in the order of the highest rating. Thereafter, the content group generator 230 stores the sorted movie list as a recommended movie list in the content group information database.

In addition, the content group generator 230 may update the recommended content list set for each content group periodically or in real time.

For example, in the case of a comic movie group, when the movie is updated, the content group generator 230 transmits a movie rating message including the updated movie lists to user terminals belonging to the comic movie group, and the user terminal. Gather movie reviews from them and update the list of recommended movies based on the movie reviews.

When the zone recommendation information is received from the user terminal through the communication unit 210, the content recommender 235 checks the content type provided by the corresponding zone, searches the content group information database 260, and corresponds to the content type. Check the user's content group. Thereafter, the content recommendation unit 235 extracts a content recommendation list set for the identified content group from the content group information database 260 and provides the same to the user terminal. The zone recognition information may include zone identification information, user identification information, and the like.

That is, the content recommendation unit 235 analyzes the zone recognition information to confirm zone identification information and user identification information, and searches the content information database 240 to identify content types corresponding to the zone identification information. Thereafter, the content recommendation unit 235 searches the content group information database 260 to identify a content group corresponding to the user identification information and the content type, and provides the user terminal with a content recommendation list set in the content group.

In the above, when the preferred content information is received from the user terminal, the content group generator 230 generates a content group based on the preferred content information, and previews the content recommendation list based on the content ratings of the users belonging to the content group. After generating, when the zone recognition information is received from the user terminal, it has been described as providing a content recommendation list of the content group to which the user belongs, but the content recommendation server 200 receives the preferred content information when the zone recognition information is received. A content group may be generated based on the content, and the content may be recommended based on content reviews of users belonging to the content group.

To this end, when the zone recognition information is received from the user terminal through the communication unit 210, the content recommendation unit 235 may generate and transmit a content recommendation list to the user terminal based on the preferred content information of the corresponding user.

When the zone recommendation information is received, the content recommendation unit 235 checks the content type provided by the zone, and confirms the preferred content information corresponding to the content type from the user information database 250, and thus the user's similar preference. Creates a content group by grouping users with content, generates a content recommendation list that ranks the contents provided by the zone based on the content ratings of users belonging to the content group, and uses the generated content recommendation list as a user. It may be provided to the terminal.

That is, the content recommendation unit 235 analyzes the zone recognition information to confirm zone identification information and user identification information, and searches the content information database 240 to identify content types corresponding to the zone identification information. Thereafter, the content recommendation unit 235 searches the user information database 250 to confirm user identification information and preferred content information corresponding to the content type. The content recommendation unit 235 then searches the user information database 250 to select and group all users having the identified preferred content information to create a content group. Then, the content recommendation unit 235 transmits a content review request message for the contents provided by the zone to the user terminals belonging to the content group, and collects the content review information from the user terminals. The unit extracts information on the ratings given to the respective contents from the collected content rating information, and calculates the rating sum information of the respective contents. Thereafter, the content recommendation unit 235 sorts the ranking of all the contents based on the sum score information, and provides the user terminal with a predetermined number of contents corresponding to the higher ranking as a list of recommended contents.

For example, it will be described that John is A movie theater and A's favorite movie information is comic film. The content recommendation unit 235 searches the content information database 240 to confirm the content type as 'movie' because John is a movie theater, and searches the user information database 250 to say that the user's preferred movie is 'comic movie'. Check it. Thereafter, the content recommendation unit 230 searches the user information database 250 and groups the users whose preferred movie is 'Comic Movie' to create a Comic Movie Group. Then, the content recommendation unit 235 transmits a content review request message including a list of movies being screened or scheduled to be screened at A-movie to user terminals belonging to the comic film group. Receiving the content review request message, the user inputs and returns a rating in the form of 10 points, 9 points, etc. for each movie in the movie list. Then, the content recommendation unit 235 calculates the ratings of the movies, sorts them by the highest rating, generates a list of recommended movies in order of the movies sorted at the top, and transmits them to the user terminal.

In addition, when the zone recognition information is received, the content recommendation unit 235 searches the content information database 240 to identify the type of content corresponding to the zone identification information. Thereafter, the content recommendation unit 235 searches the user information database 250 and checks the content usage history corresponding to the user identification information and the content type. Then, the content recommendation unit 235 determines the user's preferred content information based on the content usage history, and sets the ranking of the contents provided in the corresponding zone based on the determined preferred content information and provides it to the user terminal. In this case, the content recommendation unit 235 selects content that the user prefers based on the content usage history, and stores the preferred content information in the user information database 250.

For example, it is assumed that John is A movie theater, and user A's movie usage history is A comic movie, B comic movie, C action movie, D comic movie.

The content recommendation unit 230 determines that the type of content provided by zone A is 'movie' and the user's preferred movie is 'comic movie', and prioritizes the comic film among the films that are to be screened or screened at the A theater. A movie recommendation list can be provided to the user.

In addition, if John is a movie theater A and a user's movie usage history is analyzed, and the movie is directed by the genre A, the director A, and the actor A, the content recommendation unit 235 is the genre A from the movies scheduled to be screened or screened at the movie theater A. A movie including at least one of A director and A actor may be selected and provided to the user terminal.

According to another aspect of the present invention, the content recommendation unit 235 may recommend content based on at least one of the user's biorhythm, the user's mood, the user's age, and the weather. That is, the content recommendation unit 235 may obtain a biorhythm of the user based on the date of birth of the user stored in the user information database 250, and recommend content corresponding to the biorhythm. In this case, the content information database 240 stores a content recommendation list corresponding to the biorhythm.

In addition, the content recommendation unit 235 may recommend content based on a user feeling such as a depressed day, a happy day, or a day to love. In this case, the content information database 240 stores a content recommendation list corresponding to the mood.

In addition, the content recommendation unit 235 may check the user age stored in the user information database 250 and recommend content that the age group likes. In this case, the favorite content recommendation list for each age group is stored in the content information database 240.

In addition, the content recommendation unit 235 may recommend content based on a weather such as a rainy day, a sunny day, or a snowy day. In this case, the content information database 240 stores a content recommendation list corresponding to the weather.

The content recommendation server 200 configured as described above may further include a community unit 250 capable of transmitting a content co-purchase message to user terminals belonging to a content group.

The community unit 270 searches the content information database 240 and transmits a content co-purchase message including the content to a user terminal belonging to the content group when there is a content group in which the content corresponding to the preferred content is updated. do. Users who receive the content co-purchase message may jointly purchase or purchase the content.

In addition, the community unit 270 may support group activities among users belonging to a content group.

4 is a diagram illustrating a method for providing a location-based content recommendation service according to the present invention.

Referring to FIG. 4, when a specific zone entry is recognized (S402), the user terminal transmits zone recognition information to the content recommendation server (S404). That is, the user terminal recognizes the entry of the content recommendation zone through code tagging or location measurement installed in the zone, and transmits the zone recognition information including the zone identification information and the user identification information to the content recommendation server. For example, when the user terminal tagged an RFID tag installed in the movie theater A, the user terminal recognizes that the identification information corresponding to the RFID tag is A movie theater identification information indicating a content recommendation zone, and includes the A movie theater identification information. The zone recognition information is transmitted to the content recommendation server.

When step S404 is performed, the content recommendation server obtains a content recommendation list generated based on the preferred content information of the content type provided in the corresponding zone (S406), and transmits the content recommendation list to the user terminal (S408). A detailed description of how the content recommendation server provides the content recommendation list to the user terminal will be described with reference to FIGS. 5 to 7.

When step S408 is performed, the user terminal displays a content recommendation list (S410), and the user selects one content from the content recommendation list to perform a reservation or purchase (S412). In this case, the user terminal may output a message or voice informing that the content recommendation list has been received, and display the content recommendation list when the user requests the display of the content recommendation list. In addition, when the content recommendation list is received, the user terminal may display the content recommendation list immediately without notifying reception of the content recommendation list.

5 is a flowchart illustrating a method of providing a content recommendation service by a content recommendation server according to an exemplary embodiment of the present invention.

Referring to FIG. 5, when the user profile information is received from the user terminal (S502), the content recommendation server analyzes the user profile information to determine the user's preferred content information (S504). That is, the user profile information includes user basic information such as name, age, address, and preferred content information such as preferred movie information and preferred music information. Therefore, the content recommendation server confirms preferred content information included in the user profile information.

Herein, a case where the user profile information is received from the user terminal has been described as an example, but the content recommendation server may collect preferred content information of each user from the novel network server.

After performing step S504, the content recommendation server determines whether there is a content group by users having preferred content similar to that of the user (S506).

If it is determined in step S506 that the content group exists, the content recommendation server groups the user by putting the user in the content group (S508).

After performing step S508, when zone recognition information is received from the user terminal (S510), the content recommendation server checks the content type provided in the corresponding zone and checks the content group of the corresponding user corresponding to the content type (S512). ).

After performing step S512, the content recommendation server transmits a content recommendation list set in the corresponding content group to the user terminal (S514). In this case, the content recommendation list may be previously stored information.

If there is no content group by users having preferred content similar to the user as a result of the determination in step S506, the content recommendation server generates a content group by grouping users having similar content similar to the user (S516).

Thereafter, the content recommendation server generates a content recommendation list by setting the ranking of the contents based on the content ratings of the users belonging to the generated content group (S518). That is, the content recommendation server transmits a content review request message to user terminals belonging to the content group, and collects content review information from the user terminals. Then, the content recommendation server extracts information on the ratings given to the respective contents from the collected content review information, and calculates the rating sum information of the respective contents. Thereafter, the content recommendation server sorts the ranking of all the contents based on the sum score information, and generates and stores a predetermined number of contents corresponding to the upper rank as a recommended contents list.

The generated content recommendation list may be provided later when zone recognition information is received from the user terminal.

For example, when the comic movie preference information is input from the user A terminal, the content recommendation server determines whether the 'comic movie group' exists in the preset content group. As a result, if the 'comic movie group' exists, the content recommendation server groups the user into the 'comic movie group'. At this time, the comic film group stores a movie recommendation list generated based on movie reviews of users belonging to the group. Therefore, when the user A terminal enters a movie theater later, the content recommendation server provides the user recommendation list with a movie recommendation list generated based on movie reviews of users belonging to the comic film group.

If the comic film group does not exist, the content recommendation server creates a comic film group by grouping users who prefer the comic film. Then, the content recommendation server queries and receives movie reviews from users belonging to the comic film group, and sets movie rankings based on the movie reviews to generate a movie recommendation list. Afterwards, when the user A enters a movie theater, the content recommendation server provides the generated movie recommendation list to the user A.

Through the above method, the user can be provided with content information favorable to people having similar tastes as their own.

6 is a flowchart illustrating a method of providing a content recommendation service by a content recommendation server according to another exemplary embodiment of the present invention.

Referring to FIG. 6, when zone recognition information is received from the user terminal (S602), the content recommendation server checks the type of content provided in the corresponding zone based on the zone recognition information (S604). That is, the content recommendation server searches the content information database to identify the content type corresponding to the zone identification information.

After performing step S604, the content recommendation server checks the preferred content information of the corresponding user corresponding to the content type (S606). That is, the content recommendation server searches the user information database to identify user identification information and preferred content information corresponding to the content type.

After performing step S606, the content recommendation server generates a content group by grouping users having preferred content similar to the user (S608). That is, the content recommendation server searches the user information database to select and group all users having the identified preferred content information to create a content group.

After performing step S608, the content recommendation server sets the ranking of the contents provided in the corresponding zone based on the content ratings of the users belonging to the generated content group (S610).

That is, the content recommendation server transmits a content review request message for contents provided in the corresponding zone to user terminals belonging to the content group, and collects content review information from the user terminals. Then, the content recommendation server extracts information on the ratings given to the respective contents from the collected content review information, and calculates the rating sum information of the respective contents. Thereafter, the content recommendation server sorts the ranking of all the contents based on the sum score information, and provides the user terminal with a predetermined number of contents corresponding to the upper rank as a list of recommended contents.

After performing step S610, the content recommendation server generates a content recommendation list for the contents set in step S610 and provides it to the user terminal (S612).

Through the above method, the user can be provided with content information favorable to people having similar tastes as their own.

7 is a flowchart illustrating a method of providing a content recommendation service by a content recommendation server according to another exemplary embodiment of the present invention.

Referring to FIG. 7, when zone recognition information is received from the user terminal (S702), the content recommendation server determines the type of content provided in the zone based on the zone recognition information (S704).

After performing step S704, the content recommendation server determines the preferred content information of the corresponding user based on the content usage history corresponding to the determined content type (S706). That is, the content recommendation server searches the user information database to check the content usage history corresponding to the user identification information and the content type, and determines the user's preferred content information based on the content usage history.

After performing step S706, the content recommendation server selects content corresponding to the preferred content information from the content list provided in the corresponding zone (S708).

After performing step S708, the content recommendation server generates a content recommendation list including the content selected in step S708 and provides the same to the user terminal (S710). That is, the content recommendation server ranks the contents provided in the zone based on the determined preferred content information and provides them to the user terminal.

Meanwhile, the user terminal 100 and the content recommendation server 200 according to the present invention may store information by a memory. In one embodiment, the memory is a computer-readable medium. In one implementation, the memory may be a volatile memory unit, and in other embodiments the memory may be a non-volatile memory unit. The memory may also include, for example, a hard disk device, an optical disk device, or any other mass storage device.

Thus, those skilled in the art will appreciate that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the embodiments described above are to be considered in all respects only as illustrative and not restrictive. The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: user terminal 110, 210:
120: input unit 130: output unit
140: storage unit 150: location recognition unit
160: content request processing unit 170: content purchase processing unit
200: content recommendation server 220: user information management unit
230: content group generation unit 235: content recommendation unit
240: content information database 250: user information database
260: Content Group Information Database
270: Community Department

Claims (19)

A user terminal for transmitting zone recognition information to a content recommendation server and receiving a content recommendation list from the content recommendation server when a specific zone entry is recognized; And
A content recommendation server configured to provide the user terminal with a content recommendation list based on the type of content provided in the specific zone and preference content information of the corresponding user according to the reception of the zone recognition information;
Location-based content recommendation service providing system comprising a.
The method of claim 1,
When the content recommendation server receives the preferred content information, the content recommendation server determines whether there is a content group by users having similar content similar to that of the user, and if the content recommendation server exists, assigns the user to the content group. Create a content group by selecting and grouping all users who have the preferred content information if it does not exist, and generating a content recommendation list by setting the ranking of the contents based on the content ratings of the users belonging to the generated content group. And storing the generated content recommendation list in a content group information database.
3. The method of claim 2,
When the zone recommendation information is received from the user terminal, the content recommendation server checks a content type provided by the specific zone and a content group of the corresponding user, and extracts a content recommendation list of the content group from the content group information database. Location-based content recommendation service providing system, characterized in that provided to the user terminal.
The method of claim 1,
When the zone recommendation information is received, the content recommendation server checks the content type provided by the zone and user preference content information corresponding to the content type, and creates a content group by grouping users having similar contents as the user. And a content recommendation list in which the ranking of the contents provided in the zone is generated based on the content ratings of the users belonging to the content group is generated and provided to the user terminal.
The method of claim 1,
When the zone recommendation information is received, the content recommendation server checks the content type provided by the zone and the user's content usage history corresponding to the content type, and determines preferred content information based on the content usage history. And setting a ranking of contents provided in a corresponding zone based on the determined preferred content information and providing the ranking to a user terminal.
A communication unit for communicating with a content recommendation server through a communication network;
An input unit for receiving a user request;
A location recognizing unit for transmitting zone recognition information to the content recommendation server through the communication unit when a specific zone entry is recognized; And
A content request processor for receiving a content recommendation list from the content recommendation server based on a content type provided in the specific zone and preference content information of a user;
Lt; / RTI >
A communication unit for communicating with a user terminal through a communication network;
A content information database in which information about content provided by each zone is stored;
A user information database storing user information; And
A content recommendation unit for providing the user terminal with a content recommendation list based on the content type provided in the corresponding zone and the preferred content information of the user, when the zone recognition information is received from the user terminal through the communication unit;
Content recommendation server comprising a.
The method according to claim 6,
A content group information database in which information about content groups generated based on each preference content information is stored;
A user information manager configured to receive or collect preferred content information of users and register the same in the user information database; And
When the preferred content information is registered by the user information manager, the content group information database is searched to determine whether there is a content group by users having similar contents similar to the corresponding user, and the determination result is present. If the user is assigned to the corresponding content group, and if it does not exist, the user information database is searched to select and group all users having the preferred content information to create a content group. And a content group generation unit for setting a ranking of the contents based on the content rating to generate a content recommendation list, and storing the generated content recommendation list in the content group information database.
9. The method of claim 8,
When the zone recommendation information is received from the user terminal, the content recommendation unit checks the content type provided by the zone and the content group of the user, extracts a content recommendation list of the content group from the content group information database, and Content recommendation server, characterized in that provided to the user terminal.
The method of claim 7, wherein
When the zone recognition information is received from the user terminal, the content recommendation unit checks the content type provided in the corresponding zone and the preferred content information corresponding to the content type, searches the user information database, and checks the identified preferred content information. After creating a content group by selecting and grouping all users having a content transmission, a content review request message for contents provided by the zone is transmitted to user terminals belonging to the content group, and the content review information is received. After extracting the information on the ratings given to the contents from the rating information and calculating the rating sum information of each content, the ranking of all the contents is sorted based on the rating sum information, and a certain number of contents corresponding to the upper rank To the user terminal as a list of recommended content A content recommendation server.
The method of claim 7, wherein
When the zone recognition information is received from the user terminal, the content recommendation unit checks the content type provided by the zone and the content usage history of the corresponding user corresponding to the content type, and based on the content usage history, the preferred content information. And determining a ranking of the contents provided in the zone based on the determined preferred content information and providing the ranking to the user terminal.
The method of claim 7, wherein
When the zone recommendation information is received from the user terminal, the content recommendation unit checks the content type provided by the zone and the content group of the corresponding user corresponding to the content type, and based on the content rating of users belonging to the content group. Content recommendation server, characterized in that for setting the ranking of the content provided in the zone to generate a content recommendation list, the content recommendation list to the user terminal.
The method of claim 7, wherein
The content recommendation unit provides a content recommendation server based on at least one of a user's biorhythm, a user's mood, a user's age, and a weather, to the user terminal.
The method of claim 7, wherein
The apparatus may further include a community unit configured to search the content information database and transmit a content co-purchase message including the content to a user terminal belonging to the content group when the content group in which the content corresponding to the preferred content is updated exists. Content recommendation server.
In the method for providing a content recommendation server content recommendation server,
(a) when the zone recognition information is received from the user terminal, transmitting to the user terminal a content recommendation list based on the content type provided by the zone and the preferred content information of the user;
Location-based content recommendation service providing method comprising a.
16. The method of claim 15,
Before the step (a)
When the user's preferred content information is received or collected, determining whether there is a content group by users having similar content as the user; And
If the determination result exists, the corresponding user is assigned to the corresponding content group, and if not present, the content group is generated by selecting and grouping all users having the preferred content information, and the content rating of the users belonging to the generated content group is determined. And generating a content recommendation list by setting the ranking of the contents based on the ranking of the contents, and storing the generated content recommendation list in a content group information database.
17. The method of claim 16,
The step (a)
When zone recognition information is received from the user terminal, the content type provided by the zone and the content group of the user are identified, and the content recommendation list of the content group is extracted from the content group information database and provided to the user terminal. Location-based content recommendation service providing method characterized in that.
16. The method of claim 15,
The step (a)
When the zone recognition information is received, checking a content type provided in the corresponding zone and preferred content information corresponding to the content type;
Creating a content group by searching the provided user information database and selecting and grouping all users having the identified preferred content information;
Transmitting a content review request message for the contents provided by the zone to user terminals belonging to the content group and receiving content review information;
Extracting information on the ratings given to the respective contents from the content rating information and calculating the rating sum information of the respective contents; And
And arranging the ranking of the entire contents based on the rating sum information, and generating a predetermined number of contents corresponding to a higher ranking as a recommendation contents list.
16. The method of claim 15,
The step (a)
When the zone recognition information is received, checking a content type provided by the corresponding zone and a content usage history of the corresponding user corresponding to the content type;
Determining preferred content information based on the content usage history; And
And generating a content recommendation list in which the contents of the zones are ranked based on the determined preferred content information.

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