KR20150011715A - Server, system and method for providing recommendation contents - Google Patents

Server, system and method for providing recommendation contents Download PDF

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Publication number
KR20150011715A
KR20150011715A KR1020130086995A KR20130086995A KR20150011715A KR 20150011715 A KR20150011715 A KR 20150011715A KR 1020130086995 A KR1020130086995 A KR 1020130086995A KR 20130086995 A KR20130086995 A KR 20130086995A KR 20150011715 A KR20150011715 A KR 20150011715A
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South Korea
Prior art keywords
recommendation
recommended
content list
style
viewing
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KR1020130086995A
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Korean (ko)
Inventor
최재원
김민규
박예진
천왕성
Original Assignee
주식회사 케이티
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Priority to KR1020130086995A priority Critical patent/KR20150011715A/en
Publication of KR20150011715A publication Critical patent/KR20150011715A/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/4227—Providing Remote input by a user located remotely from the client device, e.g. at work
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/436—Interfacing a local distribution network, e.g. communicating with another STB or one or more peripheral devices inside the home

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The server providing the recommended content includes a viewing style analyzing unit for analyzing a combined viewing style of the first device and the second device on the basis of the viewing history of the first device and the viewing history of the second device, A recommendation method selection unit for selecting one or more recommendation methods according to the combined view style, a recommended content list creation unit for creating a recommended content list by applying a priority among the selected one or more recommended methods, And a content list providing unit provided to the device.

Description

SYSTEM AND METHOD FOR PROVIDING RECOMMENDED CONTENT United States

The present invention relates to a server, a system and a method for providing recommended contents.

Internet Protocol Television (IPTV) is a two-way broadcasting and communication service that provides a television receiver with various services such as video contents such as movies and broadcast programs and Internet search using a high-speed Internet network.

In recent years, IPTV has been providing services that recommend various contents. The content recommendation service is mainly provided in the form of a simple recommendation service such as the latest content, a statistical recommendation service such as a VOD search ranking, and a recommendation service based on a complicated calculation such as a content viewed by a similar viewer. In connection with this content recommendation service, Korean Unexamined Patent Publication No. 2012-0053800 discloses an apparatus for recommending an IP based user identification and a driving method thereof.

However, when such a content recommendation service is provided as a public terminal, IPTV, the tendency is different for each viewer, and the effect of recommendation may be deteriorated. Therefore, although technologies for identifying individual viewers who watch IPTV and providing recommended contents optimized for the identified viewers have been developed, they are also widely used due to inconvenience of input by the viewer, cost burden due to the additional apparatus, It is not utilized.

A server and method for providing a recommended content suitable for a user's viewing style without manually searching for or searching for a recommendation method menu. A recommendation content providing server and method for providing a recommendation content suitable for a user's viewing style by connecting a desired content to a user quickly, thereby improving the convenience of viewing. The present invention provides a recommended content providing server and method capable of using personalized contents by interlocking between a plurality of terminals such as a mobile terminal and a TV, and providing various personalized services through the same. It is to be understood, however, that the technical scope of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

As a technical means for achieving the above-mentioned technical object, an embodiment of the present invention is a method for controlling a combination style of a first device and a second device on the basis of a viewing history in a first device and a viewing history in a second device A recommendation method selection unit for selecting one or more recommendation methods according to the combination viewing style among a plurality of recommendation methods among the plurality of recommendation methods, and a recommended content list for creating a recommended content list by applying priority among the selected one or more recommendation methods And a content list providing unit for providing a content list and a recommended content list to the first device or the second device.

According to another embodiment of the present invention, there is provided a viewing history collection server for analyzing a combined viewing style of a first device and a second device on the basis of a viewing history in a first device and a viewing history in a second device, A recommendation server for providing a content list for each recommendation method according to each recommendation method and a content list for each recommendation method to create an integrated recommendation content list based on the combination view style and provide the integrated recommendation content list to the first device or the second device Wherein the viewing history collection server analyzes the combined viewing style when the second device transmits a combination mode switching request to the first device.

According to another embodiment of the present invention, there is provided a method for controlling a device, comprising: receiving a combination mode switching request from a first device or a second device; Analyzing a combined viewing style of the first device and the second device, selecting one or more recommended methods according to the combined viewing style among a plurality of recommended methods, and applying a priority among the selected one or more recommended methods to create a recommended content list And providing the recommended content list to the first device or the second device.

According to any one of the above-mentioned objects of the present invention, it is possible to provide a recommended content providing server and method suitable for a user's viewing style without manually searching for or searching for a recommendation method menu. It is possible to provide a recommended content providing server and method for providing recommendable content suitable for a user's viewing style by connecting a desired content to a user quickly to enhance viewing convenience. It is possible to provide a recommended content providing server and method capable of using personalized contents by interlocking between a plurality of terminals such as a mobile terminal and a TV and providing various personalized services through the personalized contents.

1 is a configuration diagram of a recommended content providing system according to an embodiment of the present invention.
2 is an example of a configuration diagram of the integrated recommendation server shown in FIG.
3 is a diagram illustrating an example of a combined viewing style according to an embodiment of the present invention.
4 is a view illustrating an example of a recommended content list created by varying exposure ratios among recommendation methods according to a combined viewing style according to an exemplary embodiment of the present invention.
FIG. 5 is a flowchart illustrating an example of a recommended content list prepared by weighting recommendation methods according to a combined viewing style according to an exemplary embodiment of the present invention.
FIG. 6 is a flowchart illustrating an example of a process in which recommended content is provided by the respective components included in the recommended content providing system of FIG.
7 is a view showing a list of recommended contents displayed on a first device according to an embodiment of the present invention.
8 is a flowchart illustrating a method of providing a recommended content according to an exemplary embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "including" an element, it is to be understood that the element may include other elements as well as other elements, And does not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.

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

1 is a configuration diagram of a recommended content providing system 1 according to an embodiment of the present invention. 1, the recommended content providing system 1 includes a viewing history server 10, a recommendation server 20, an integrated recommendation server 30, a first device 40 and a second device 50 . At this time, the viewing history server 10, the recommendation server 20, the integrated recommendation server 30, the first device 40 and the second device 50 shown in Fig. 1 are connected to the recommended content providing system 1 Lt; RTI ID = 0.0 > controllable < / RTI > components. For example, there may be a plurality of recommendation servers 20, and other devices other than the first device 40 and the second device 50 may be further included. In addition, the viewing history server 10, the recommendation server 20, and the integrated recommendation server 30 may be combined into one single server or may be distributed in a larger number.

Each component of the recommended content providing system 1 of FIG. 1 is generally connected via a network. For example, as shown in FIG. 1, the integrated recommendation server 30 may be connected to the viewing history collection server 10 and the recommendation server 20 through a network. In addition, the integrated recommendation server 30 may be connected to the first device 40 and the second device 50 through a network.

An example of such a network is Wi-Fi, the Internet, a LAN (Local Area Network), a Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), 3G, 4G, LTE and the like.

The viewing history collection server 10 receives the viewing history from the first device 40 and the viewing history from the second device 50 from the first device 40. [ Alternatively, when the second device 50 requests the first device 40 to switch the combination mode, the viewing history in the first device 40 and the viewing history in the second device 50 are transmitted to the first device 40 ) At a time. Conversely, when the first device 40 requests the second device 50 to switch to the combination mode, the viewing history in the first device 40 and the viewing history in the second device 50 are transmitted to the second device 50 50) at one time

The viewing history of each device is frequently used, for example, in past real-time channel viewing history, preferred channel history by day / time zone, past VOD viewing history, preferred VOD genre, frequently used recommended menu, And an entry path to the < RTI ID = 0.0 >

The viewing history collection server 10 can additionally receive the user setting information in the first device 40 and the user setting information in the second device 50 in addition to the viewing history. At this time, the user setting information may include at least one or more pieces of setting information, for example, a list of 'VOD VOD', a list of 'reserved programs', and a list of 'favorite VOD'. In addition, the viewing history collection server 10 can receive the viewing history and the user setting information in the third device (not shown) through the first device 40. [

The viewing history collection server 10 analyzes the combined viewing style based on the viewing history of the first device 40 and the second device 50, that is, the viewing history of a plurality of terminals held by the user, Style to the integrated recommendation server 30. Therefore, the viewing history collection server 10 analyzes the combined viewing style based on the viewing history of the first device 40 to the Nth device (not shown, N is a natural number of 2 or more) To the integrated recommendation server 30. At this time, the analyzed combined viewing style may include at least one of viewing style of real time channel usage rank by time, usage rank of a plurality of recommendation methods, and usage rank of each content type.

That is, the viewing history collection server 10 receives the viewing history and user setting information from the second device 50 and / or the third device (not shown) linked to the first device 40, By analyzing, it is possible to analyze a combined viewing style in a plurality of devices held by one user.

The recommendation server 20 provides the integrated recommendation server 30 with a content list for each recommended method according to a plurality of recommendation methods. At this time, the plurality of recommendation methods may include recommendation methods such as expert recommendation, channel rating, VOD popularity ranking, recommendation of content used by the similarity viewer, and recommendation of viewer interest field content. At this time, there may be a plurality of recommendation servers 20, and each of the recommendation servers 20 can provide a list of contents according to their own recommendation method to the integrated recommendation server 30.

The integrated recommendation server 30 receives the combination viewing style from the viewing history collection server 10 and receives the content list for each recommendation method from the recommendation server 20. [ Alternatively, the integrated recommendation server 30 may select at least one recommendation method among a plurality of recommendation methods based on the combined viewing style, and receive only the content list according to the selected recommendation method from the recommendation server 20. [

The integrated recommendation server 30 creates an integrated recommended content list based on the received content list for each recommended method and the combined viewing style. At this time, the integrated recommendation server 30 can create a recommended content list by varying the exposure ratio among the content lists for each recommendation method according to the combined viewing style. For example, the integrated recommendation server 30 can create a recommended content list based on the preference rank of the content list for each recommendation method based on the combined viewing style. In addition, the integrated recommendation server 30 can create a recommended content list by weighting the content lists according to recommendation methods according to the combined viewing style. For example, the integrated recommendation server 30 may select at least one recommendation method from among a plurality of recommendation methods based on a combined viewing style, and may apply different weights to the selected recommendation method. At this time, the integrated recommendation server 30 may sum up the ranks to which the weights are applied according to the recommendation method ranking for each recommended content, and create the recommended content list based on the summed ranking. The integrated recommendation server 30 provides the recommended content list created as described above to the first device 40 or the second device 50.

One example of the viewing history collection server 10, the recommendation server 20, and the integrated recommendation server 30 may be a content providing server, a content service provider server, a media server, or a head end.

The first device 40 may receive a combination mode switching request from the second device 50. [ For example, the first device 40 may be an IPTV set-top box (STB). The first device 40 can be interlocked with the second device 50 through the application installed in the second device 50. When the application installed in the second device 50 is a remote control application, The remote control signal can be received through an application installed in the remote control apparatus.

The first device 40 may receive the viewing history and / or user setting information of the second device 50 from the second device 50. [ Also, the first device 40 may additionally receive viewing history and user setting information from a third device (not shown). At this time, the first device 40 can transmit the viewing history and user setting information of the first device 40 and the viewing history and user setting information received from the plurality of devices to the viewing history collection server 10.

The first device 40 may receive the recommended content list from the integrated recommendation server 30 and display it on the display of the first device 40. [

The second device 50 may send a combination mode switching request to the first device 40. [ In this case, the second device 50 may be a mobile terminal installed with an application interlocked with the set-top box. The second device 50 can perform a remote control function for the first device 40, which is a set-top box, through the installed application. The second device 50 may transmit its viewing history and user setting information to the first device 40 through the application.

At this time, the viewing history collection server 10, the recommendation server 20, and the integrated recommendation server 30 may be configured as separate devices or combined with one recommended content providing server 30 Have already been described.

2 is an example of a configuration diagram of the integrated recommendation server (recommended content providing server) shown in FIG. 1 and 2, the integrated recommendation server 30 includes a viewing style analyzing unit 31, a recommendation method selecting unit 32, a recommended content list creating unit 33, and a content list providing unit 34 can do.

However, the integrated recommendation server 30 shown in FIG. 2 is only one embodiment of the present invention, and can be modified into various forms based on the components shown in FIG. 2. In the technical field of the present invention, Those skilled in the art will understand the present invention. For example, the components and functions provided within the components may be combined into a smaller number of components or further separated into additional components.

The viewing style analyzing unit 31 can analyze the combined viewing style based on the viewing history of the first device 40 and the viewing history of the second device 50. [ At this time, the viewing history is frequently used in, for example, past real-time channel viewing history, favorite channel history by day / time zone, past VOD viewing history, preferred VOD genre, frequently used recommended menu, And an entry path. In addition, the viewing style analyzing unit 31 can analyze the combined viewing style based on the user setting information in the first device 40 or the user setting information in the second device 50. [ At this time, the user setting information may include at least one or more pieces of setting information, for example, a list of 'VOD VOD', a list of 'reserved programs', and a list of 'favorite VOD'. At this time, the combined viewing style may include at least one of a real-time channel usage rank by time slot, a usage rank for a plurality of recommendation methods, and a usage rank for each content type.

The viewing style analyzing unit 31 may analyze the combined viewing style based additionally to at least one of viewing history and user setting information at the Nth device (N is an integer of 3 or more). That is, the viewing style analyzing unit 31 analyzes the viewing history and the user setting information of the first device 40 and the plurality of devices based on the first device 40 and the personalized viewing of one user having the plurality of devices You can analyze the style. In this case, the first device 40 may be a set-top box (STB) of an IPTV, and a plurality of devices (e.g., a second device or a third device) may be a mobile terminal installed with an application interlocking with a set-

3 is a diagram illustrating an example of a combined viewing style according to an embodiment of the present invention. Referring to FIG. 3, the viewing style analyzing unit 31 receives a real-time channel usage ranking 320 for each user of the first device 40 and the second device 50, The viewing style information including the viewing history analysis information such as the viewing history information 330 and the usage ranking 340 according to the content type, and the user setting information 350 such as the favorite channel. At this time, the viewing style analyzing unit 31 can manage the time-based viewing style for each user of the plurality of devices.

The recommendation method selection unit 32 selects one or more recommendation methods according to the combination view style among a plurality of recommendation methods. At this time, the recommendation method selection unit 32 is connected to the plurality of recommendation servers 20, and a recommendation list of different kinds of contents corresponding to each of the plurality of recommendation methods is received from each of the recommendation servers 20 have. The plurality of recommendation methods may include at least one recommendation method, for example, recommendation of experts, recommendation of channel, rating of VOD popularity, recommendation of content to be used by the similarity viewer, and recommendation of viewer interest field content. For example, when the user of the second device 50 mainly watches a movie, and the user frequently watches a movie or watches a recommended movie, the recommendation method selection unit 32 selects a recommendation method You can choose from three methods of recommendation: "Follow", "Likes", and VOD.

The recommended content list creating unit 33 can create a recommended content list by applying a priority among the one or more recommended methods selected by the recommendation method selecting unit 32. [ At this time, the recommended content list creation unit 33 can create the recommended content list by applying the exposure ratio and / or the weight to each recommendation method according to the user's preference for each recommendation method. For example, the recommended content list creator 33 may create a recommended content list by varying the exposure ratio among the one or more recommended methods selected according to the combined viewing style.

4 is a view illustrating an example of a recommended content list created by varying exposure ratios among recommendation methods according to a combined viewing style according to an exemplary embodiment of the present invention. 4, the combined viewing style 410 for the users of the first device 40 and the second device 50 includes a content usage share 411, a recommended menu usage ranking 412, and a preferred channel 413, . The content usage share 411 is 25% for channel, 73% for VOD, and 2% for app, and the user can know that the content is used in order of VOD> channel> app. The recommended menu usage rankings (412) are 46% for popular VOD, 34% for good likelihood, and 20% for related recommendation, and users are using recommendation menu in order of VOD> . It can be seen that the preference channel 413 is preferred by the user as the sports channel A and sports channel B. [

For example, an exposure ratio between a plurality of recommendation methods 420 for movie A, movie B, movie C, movie D, movie E, drama A, drama B 15 times, sports channel A, To create a list of recommended content. At this time, the recommended content list creating unit 33 creates the recommended content list 421, the popular VOD 422, the 'like' ranking 423, the association recommendation 424, ), The channel rating 426, and the preference channel 427 may be applied to a plurality of contents. First, among the plurality of contents, the contents to which the following view 421 is applied are the movies B and B 15, and the recommended contents are arranged in the order of the movie B> the dram B 15 in which the popular VOD ranking is high. Second, the recommended content is arranged in the order of Movie A> Movie E> Movie D, in which the popularity VOD 422 is ranked among a plurality of contents. Third, a movie C having a high ranking of 'favorite' among a plurality of contents is arranged. Fourth, the recommended contents are arranged in order of the sports channel B> the sports channel A in the descending order of the channel rating 426 among the plurality of contents. The recommended content list creation unit 33 may arrange the recommended content list by applying (430) different exposure ratios to a plurality of content lists. For example, if we look at the recommendation composition (440) of the list of recommended contents (440) of the list of recommended contents, it is known that the movie is arranged in order of B> Drama B 15> Movie A> Movie E> Movie D> Movie C> . At this time, the sports channel B has a higher channel viewing rate 426 than the sports channel A, but is excluded because the combination time zone of sports channel B is not included at 19:00.

For example, the content list creator 33 may create a recommended content list by weighting among at least one recommendation method selected according to the combined viewing style.

FIG. 5 is a flowchart illustrating an example of a recommended content list prepared by weighting recommendation methods according to a combined viewing style according to an exemplary embodiment of the present invention. 5, the combined viewing style 510 for the users of the first device 40 and the second device 50 includes a content usage share 511, a recommended menu usage ranking 512, and a preferred channel 513, . The content usage share 511 is 25% for channel, 73% for VOD, and 2% for app, and the user can know that contents are used in order of VOD> channel> app. Recommendation menu usage rankings (512) are 46% for popular VOD, 34% for 'good' and 20% for related recommendation, respectively, and users are using recommendation menu in order of VOD> . The preferred channel 513 is a channel preferred by the user, and includes a sports channel A and a sports channel B.

For example, a plurality of recommendation methods 520 are weighted for a plurality of contents A, B, C, D, E, D, B, sports channel A, Assume that you create a list of recommended content by doing otherwise. At this time, the recommended content list creating unit 33 creates the recommended content list creating unit 331,

Figure pat00001
2, the popular VOD 522, the 'likes' ranking 523,
Figure pat00002
1.5, association recommendation (524), praise (525)
Figure pat00003
1.8, the channel rating 526,
Figure pat00004
0.5 and the preferred channel 527, the respective recommendation methods can be applied to a plurality of contents. When the weights are applied differently based on the combined viewing style (528), the weighting application index 531 of the movie A is 6, the priority 532 is 3, and the weighting application index 531 of the movie B is 3 The priority 532 is 5th, the weighting application index 531 of the movie C is 6.75, the priority 532 is 2, the weighting application index 531 of the movie D is 1, 7, the weighting application index 531 of the movie E is 9, the priority 532 is 1, the weighting application index 531 of the drama A is 1.5, the priority 532 is 6, the drama B 15 The weighting application index 531 of the sports channel A is 0.75, the priority 532 is the eighth place, and the weighting application index of the sports channel B is 5, (531) is 0.5 point, and priority 532 is 9th place.

The recommended content list creating unit 33 may arrange the recommended content list by changing the weights. For example, if a recommendation composition (540) of 19:00 of the list of recommended contents is examined, it is possible to arrange the arrangement of movie E> movie C> movie A> drama B 15 times> movie B> drama A> movie D> sports channel A Able to know. At this time, the sports channel B has a higher channel audience rating 526 than the sports channel A, but is excluded because the combination time zone of sport channel B is not included at 19:00.

The content list providing unit 34 provides the created recommended content list to the first device 40 or the second device 50.

FIG. 6 is a flowchart illustrating an example of a process in which recommended content is provided by the respective components included in the recommended content providing system of FIG. Referring to FIG. 6, the second device 50 requests the first device 40 to switch the combination mode (S610). The first device 40 requests the viewing history to the second device 50 (S611). The second device 50 transmits the remote control signal, the viewing history and the user setting information to the first device 40 (S612). The first device 40 transmits the viewing history and user setting information of the first device 40 and the second device 50 to the viewing history collection server 10 (S613). The viewing history collection server 10 analyzes the combined viewing style of the first device 40 and the second device 50 (S614). The integrated recommendation server 30 requests the viewing history collection server 10 to analyze the combined viewing style (S615). The viewing history collection server 10 transmits the analyzed viewing style to the integrated recommendation server 30 (S616). The integrated recommendation server 30 selects a recommendation method according to the combination view style among a plurality of recommendation methods (S617). The integrated recommendation server 30 requests the recommendation server 20 for a content list for each recommendation method (S618). The recommendation server 20 transmits the content list for each recommendation method to the integrated recommendation server 30 (S619). The integrated recommendation server 30 creates a recommended content list by applying a priority among the selected one or more recommended methods (S620). The integrated recommendation server 30 transmits the created recommended content list to the first device 40 (S621). The first device 40 displays the received recommended content list on the screen (S622).

Alternatively, the integrated recommendation server 30 may be configured to directly analyze the combined viewing style based on the data or information received from the viewing history collection server 10, unlike the above description.

7 is a view showing a list of recommended contents displayed on the first device 40 according to an embodiment of the present invention. Referring to FIG. 7, a plurality of contents are arranged in a menu 710 of a user named Hong Kil Dong. For example, assuming that the current time is 19:00, the main screen 720 can display sports channel A, which is the content most watched at 19:00. Each sub-screen in the user menu 710 may arrange a plurality of recommended content lists. For example, in the case of the VOD 730 that has been watched, 'movie B' can be recommended to be viewed next to the VOD that has been viewed recently. In addition, the VOD 731 that has watched can recommend 'Drama B 15 times', which is the next time, if the user has watched drama B up to 14 times. In the case of the VOD 732, the user can recommend the movie 'A'. In the case of the popular VODs 733 and 734, 'movies E' and 'movies D' belonging to popular VODs frequently used by users can be recommended. In the case of the good ranking 735, it is possible to recommend 'the movie C' belonging to the favorite rank with high frequency of use by the user. In the case of association recommendation 736, it is possible to recommend 'drama A' associated with drama B among the association recommendation VODs.

8 is a flowchart illustrating a method of providing a recommended content according to an exemplary embodiment of the present invention. The recommended content providing method according to the embodiment shown in FIG. 8 includes steps that are processed in a time-series manner in the recommended content providing system 1 according to the embodiment shown in FIG. Therefore, the content already described with respect to the recommended content providing system 1 according to the embodiment shown in FIG. 1 is applied to the recommended content providing method according to the embodiment shown in FIG.

In step S810, the integrated recommendation server 30 receives a combination mode change request from the first device 40 or the second device 50. [ The viewing style analyzing unit 31 of the integrated recommendation server 30 in step S820 determines whether or not the first device 40 and the second device 50 have the viewing history based on the viewing history in the first device 40 and the viewing history in the second device 50, And analyzes the combined viewing style of the second device 50. In step S830, the recommendation method selection unit 32 selects one or more recommendation methods according to the combination view style among a plurality of recommendation methods. In step 840, the recommended content list creation unit 33 creates a recommended content list by applying a priority among the selected one or more recommended methods. In step 850, the content list providing unit 34 provides the recommended content list to the first device 40 or the second device 50.

The recommended content providing method described with reference to FIG. 8 may also be implemented in the form of a recording medium including instructions executable by a computer such as a program module executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

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.

10: Watch history server
20: Recommended server
30: Integrated recommendation server
31: viewing style analysis section
32: Recommendation method selection section
33: A list of recommended contents list
34: Content List Offering
40: first device
50: second device

Claims (17)

A recommended content providing server,
A viewing style analyzer for analyzing a combined viewing style of the first device and the second device based on a viewing history of the first device and a viewing history of the second device;
A recommendation method selecting unit for selecting at least one recommendation method according to the combination view style among a plurality of recommendation methods;
A recommended content list creation unit for creating a recommended content list by applying a priority among the selected one or more recommended methods; And
A content list providing unit for providing the recommended content list to the first device or the second device,
And a recommended content providing server.
The method according to claim 1,
Wherein the viewing style analyzing unit analyzes the combined viewing style when the second device sends a combination mode switching request to the first device.
The method according to claim 1,
Wherein the first device is an IPTV set-top box (STB), and the second device is a mobile terminal having an application interlocked with the set-top box.
The method of claim 3,
Wherein the application performs a remote control function for the set-top box.
The method according to claim 1,
Wherein the recommendation method selection unit is connected to a plurality of recommendation servers, and each of the plurality of recommendation servers provides a different kind of recommendation list of contents.
The method according to claim 1,
Wherein the combined viewing style includes at least one of a real-time channel usage rank by time zone, a usage rank for the plurality of recommendation methods, and a usage rank for each content type.
The method according to claim 1,
Wherein the content list creation unit creates the recommended content list by changing an exposure ratio between the selected one or more recommended methods according to the combined viewing style.
The method according to claim 1,
Wherein the content list creation unit creates the recommended content list by changing a weight among the one or more recommended methods according to the combined viewing style.
The method according to claim 1,
Wherein the combined viewing style is further based on user setting information at the first device or user setting information at the second device.
The method according to claim 1,
Wherein the combined viewing style is further based on one or more of viewing history and user setting information at a third device.
A recommended content providing system,
A viewing history collection server for analyzing a combined viewing style of the first device and the second device based on a viewing history of the first device and a viewing history of the second device;
A recommendation server for providing a content list for each recommendation method according to each of a plurality of recommendation methods; And
Receiving a content list for each recommendation method, creating an integrated recommendation content list based on the combination view style, and providing the integrated recommendation content list to the first device or the second device,
, ≪ / RTI &
Wherein the viewing history collection server analyzes the combined viewing style when the second device sends a combination mode change request to the first device.
12. The method of claim 11,
Wherein the first device is an IPTV set-top box (STB), and the second device is a mobile terminal having an application interlocked with the set-top box.
13. The method of claim 12,
Wherein the application performs a remote control function for the set-top box.
12. The method of claim 11,
Wherein the combined viewing style includes at least one of a real-time channel usage rank by time zone, a usage rank for the plurality of recommendation methods, and a usage rank for each content type.
12. The method of claim 11,
Wherein the integrated recommendation server generates the recommended content list by varying the exposure ratio among the content lists for each recommendation method according to the combined viewing style.
12. The method of claim 11,
Wherein the integrated recommendation server creates the recommended content list by changing a weight among contents lists of the recommendation methods according to the combined viewing style.
In a recommended content providing method,
Receiving a combination mode switching request from a first device or a second device;
Analyzing a combined viewing style of the first device and the second device based on the viewing history in the first device and the viewing history in the second device;
Selecting one or more recommended methods according to the combined viewing style among a plurality of recommended methods;
Generating a recommended content list by applying a priority among the selected one or more recommendation methods; And
Providing the recommended content list to the first device or the second device
And providing the recommended content.
KR1020130086995A 2013-07-23 2013-07-23 Server, system and method for providing recommendation contents KR20150011715A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018182055A1 (en) * 2017-03-28 2018-10-04 라인 가부시키가이샤 Information providing method and system using remote control device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018182055A1 (en) * 2017-03-28 2018-10-04 라인 가부시키가이샤 Information providing method and system using remote control device

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