KR100889987B1 - System for recommending broadcast program and method thereof - Google Patents

Abstract

A broadcasting program recommendation system and a method thereof for efficiently recommending a broadcasting program are provided to offer recommendation degrees about each program based on real time viewing modulus and future audience rating. A program search log DB(211) stores a search word log about a collected broadcasting program. It analyzes the collected search word log and the TV rating predicting unit(220) predicts the future audience rating of the broadcasting program. The program recommendation part(260) produces broadcast program recommendation data based on the predicted future audience rating. The search word log comprises the searching information which set up in advance for hour is generated from the playing time of the broadcasting program.

Description

Broadcast Program Recommendation System and Method {SYSTEM FOR RECOMMENDING BROADCAST PROGRAM AND METHOD THEREOF}

The present invention relates to a program recommendation system and method, and more particularly, to a broadcasting system capable of responding to a viewer's response, such as Internet Protocol Television (IPTV) broadcasting, having high user satisfaction and user preference suitability. The present invention relates to a system and a method for efficiently recommending a broadcast program to a user.

Recently, the Electronic Program Guide (EPG) service, which provides a variety of broadcast program information, has been commercialized. Also, a digital broadcast receiver such as a set top box (STB) has received EPG information, By displaying the output through the screen of the same external connection device, the user can easily search for the desired broadcast program information.

In addition, in the case of cable satellite TV, there are more than hundreds of channels supplying programs, and it is inconvenient for the viewer to select a desired channel only by channel up / down of the remote control. This is inconvenient compared to viewing and selecting the video directly.

Therefore, the Mosaic EPG (Mosaic EPG) service, which displays images of multiple channels on one screen and selects a desired channel from among them, allows users to easily search and select various broadcasting programs provided through different broadcasting services. Some are being done.

In addition, with the development of digital TV technology, the number of serviceable channels and video on demand (VOD) is rapidly increasing. As a result, unlike the environment in which users select programs in four or five channels of airwaves in the past, there is a problem of selecting from a number of channels, and it is expected to become larger in the future.

1 is a schematic configuration diagram of a general IPTV broadcasting service system.

Referring to FIG. 1, a general IPTV program recommendation service system includes a broadcaster 10, an IPTV broadcast system 20, and a user terminal 30.

The IPTV broadcasting system 20 includes a storage server for storing broadcast content, a control server for transmitting broadcast content to the user terminal 30 and processing a user response signal input from a return channel, and a distribution server for distributing broadcast content. And the like.

The IPTV broadcasting system 20 manages program recommendation content and EPG provided from a content provider (CP) or a broadcaster 10 and places program recommendation content adjacent to a subscriber through a CDN (Content Delivery Network). It can be distributed to provide a broadcast / recording / playback service. In this case, the content provided from the content provider or the broadcaster 10 may include related additional information and an EPG for such additional information.

The user terminal 30 is an apparatus for using an Internet broadcasting service, and is generally composed of an IPTV 31, a set top box 32, and a remote controller 33. The IPTV 31 outputs the broadcast content received from the IPTV broadcasting system 20, and transmits the user response signal received through the remote controller 33 to the IPTV broadcasting system 20 through the return channel of the set top box 32. do.

2A and 2B are diagrams illustrating a grid EPG screen and a mosaic EPG screen according to the prior art, respectively.

Referring to FIG. 2A, a grid EPG 40 is a two-dimensional table in which time is arranged vertically and horizontally, and 5 to 10 channels are displayed on one screen, and current and future programs can be searched. Do.

Referring to FIG. 2B, the mosaic EPG 50 may show 16 to 20 videos at the same time on one screen but there is no time, and may be composed of several pages to cover the entire channel.

However, the grid EPG 40 and the mosaic EPG 50 according to the prior art only provide the user with information that any program is broadcasted at any time on a channel. That is, the broadcasting schedule for each channel (time and program title, genre, plot and other related information, etc.) was transmitted to the TV or digital set-top box, and when the user presses a specific key on the remote controller, the programming information by channel and time is provided.

Since the grid EPG 40 and the mosaic EPG 50 according to the related art are services for browsing a program pool that meets the viewing conditions of the user, the qualitative evaluation of the program is not performed. In addition, since the grid EPG 40 and the mosaic EPG 50 according to the related art are completely dependent on information input from the program provider PP in advance, there is a lack of program-related information, and there is also a lack of information relevance and flexibility considerations. .

According to the prior art, there is a problem that it is difficult for a user to know how popular the program is or how it suits his or her taste because there is no qualitative evaluation of the program. In addition, the grid EPG 40 and the mosaic EPG 50 according to the prior art have a problem of lack of ease of use and lack of consideration of user habits. That is, although the channel browsing of the grid EPG 40 and the mosaic EPG 50 according to the prior art is more convenient than the zapping, the browsing tends to be difficult as the channel is increased, and a simple search based on the genre may be performed in the EPG. It is supported, but there is a problem that it is difficult to give users satisfaction due to the meaningless sorting of the search results.

On the other hand, as the first prior art, Korean Patent Application No. 2004-101983 (Application Date: December 06, 2004), the invention of the broadcast program recommendation apparatus and method using the Internet search history and TV viewing history " Is disclosed.

The first prior art discloses a technique for recommending a program based on a user's internet search history and a TV viewing history, but only discloses a technology for recommending a program based on a user's own internet search history.

In addition, as a second prior art, Korean Patent Application No. 2005-79336 (Application Date: August 29, 2005) discloses the invention of the name "providing a user preferred program recommendation service providing method".

The second prior art accumulates and analyzes broadcast program information and viewing time information watched by a user to generate user preference program information, and the broadcasting station server generates user preference program recommendation information based thereon.

In addition, as the third prior art, Korean Patent Application No. 2006-12590 (Application Date: February 09, 2006) discloses the invention entitled "Broadcast program guide method using the viewing rate information and recording method using the same" have.

The third prior art requests EPG from the EPG service server to receive EPG information, requests viewership information from the viewership service server to receive viewership information, analyzes the received EPG information and viewership information, and views rating information on the EPG information. And map the created EPG as an image and display it on the screen.

However, the second and third prior arts are techniques for recommending or sorting programs based on actual viewing rate information.

In addition, as a fourth prior art, Korean Patent Application No. 2002-7008536 (filed June 29, 2002) discloses the invention entitled "Method and Apparatus for Generating Television Program Recommendations Based on the Previous Inquiries". Is disclosed.

Although the fourth prior art discloses generating television program recommendations based on queries performed by a user on an electronic program guide, a method of calculating a recommendation score based on viewing history and EPG inquiry history is disclosed. It is just starting.

Therefore, the prior art does not exist in the analysis of the activity of other viewers except the past viewing history only, and does not provide a solution for a method of estimating future viewer ratings and providing the user with easy access.

SUMMARY OF THE INVENTION The present invention has been made in an effort to provide a broadcast program recommendation system and method that allows a user to easily select a program by recommending a program based on real time and future viewer ratings.

Another technical problem to be achieved by the present invention is a broadcast program recommendation system and method that provides high user satisfaction and user taste suitability by numerically providing recommendation for each program based on the above-described real-time and future viewership. It is to provide.

The broadcast program recommendation system according to an aspect of the present invention includes a program search log DB for storing search word logs associated with a collected broadcast program, an audience rating predictor for predicting a future viewer rating of the broadcast program based on the collected search word logs; And a program recommendation unit configured to generate broadcast program recommendation data based on the predicted future viewership.

Here, the viewer rating predictor predicts a future viewer rating of the broadcast program by analyzing and modeling the collected search word log and historical viewer rating data of the broadcast program.

In addition, the method for providing a broadcast program recommendation screen according to an aspect of the present invention, highlighting and displaying a program with a high future viewer rating among programs currently being broadcasted or to be broadcasted, and corresponding recommendation scores based on the future viewership with the program. And displaying, wherein the future viewership can be calculated by an internet search log.

The method may further include sequentially arranging the program from a specific direction according to the user's taste suitability, and the user's taste suitability may be calculated from a user's viewing history.

In addition, the broadcast program recommendation method according to an aspect of the present invention, a) analyzing the Internet search log related to the TV program provided from the search engine, b) the past according to the list data and viewer ratings / VOD popularity data provided from the broadcaster And analyzing real time viewer ratings, c) modeling the analyzed search log and the analyzed past and real time viewer ratings to predict future viewer ratings for each program, and d) each according to the predicted future viewer ratings and the extracted keywords. Calculating a ranking by scoring by program, and recommending a program according to a real-time viewer rating and the predicted future viewer rating, and e) processing and outputting a program recommended by the program recommendation unit in a form that can be checked and searched by a user. .

According to the present invention, by recommending the program on the basis of real-time and future viewer rating, it is possible to provide a program guide with high user satisfaction and user preference suitability.

According to the present invention, by providing a recommendation score based on the predicted viewership, the user can easily identify and use the popular program and the recommended program.

According to the present invention, by securing abundant data capable of accurately grasping TV ratings, user viewing patterns, and the like, it is possible to enhance the competitiveness in providing an electronic program guide.

Hereinafter, with reference to the accompanying drawings, a broadcast program recommendation system and method according to an embodiment of the present invention will be described in detail.

First, in order to describe an embodiment of the present invention, an Internet Protocol TV (hereinafter referred to as IPTV) will be described. Hereinafter, embodiments of the present invention will be described by way of example for IPTV for ease of understanding.

Recently, the broadcasting environment is changing due to the development of technology and changing demand of viewers. In other words, the recent broadcasting environment has changed considerably, such as conversion from analog broadcasting to digital broadcasting, diversification of broadcasting media such as cable and satellite from the terrestrial wave, interactivity with communication networks, and increasingly intelligent broadcasting terminals. Are going through.

Called by various concepts such as Smart TV, Enhanced TV, Intelligent TV, etc., IPTV allows viewers to control what they watch and when to watch it. It is a TV that integrates Internet service, data broadcasting service, and personal video recorder (PVR) functions.

IPTV broadcasting service is a service that allows viewers and broadcasting stations to interact with each other, rather than unilaterally transmitting programs like conventional broadcasting. To this end, the broadcasting station may additionally produce content that implements the interactive function in addition to the program and transmit the content to the viewer, and the viewer may express intention through a return channel. IPTV broadcasting service refers to a service that provides digital video service, interactive data service, and various personalized services by using a differentiated high-speed broadband network. This is a new paradigm of convergence of convergence that meets customer's emotional needs with a new viewing experience through high-speed internet network of multimedia contents.

The main feature of IPTV broadcasting service is the active service where the user takes action while watching actual TV from the one-way and passive service of the existing TV. It is an experience-expansion type that is extended to people of all ages.

IPTV service is largely provided through the sequential flow of content, platform, network, and terminal. In the content part, existing broadcasting content and rich content on the Internet are fused, and in the platform part, the fused content is reconfigured for TV. In the network part where QoS is guaranteed, fused content for TV is transmitted to the high-speed Internet network. It is delivered to the user as part of a set-top box-based TV.

IPTV technology can be divided into head-end, network, and terminal technology. Head-end technology is a system-related technology, which is a baseband system for receiving and distributing broadcast contents, compresses received video signals according to network efficiency, multiplexes them with data signals, and then encrypts (scrambles) and IP packets for transmission. Compression multiplexing system, real-time channel encryption and VOD content pre-encryption to control viewing rights, content protection system to protect content, and comprehensive management of media flow through integrated combination with each system It is subdivided into system, data broadcasting system for transmitting video signal and various interactive additional services, VOD system for VOD service, provisioning system technology for settlement and customer management. Network technologies include multicasting and QoS techniques for reliable content delivery between headends and set-top boxes. In addition, the terminal technology includes a video codec technology for providing high picture quality to a subscriber and a middleware technology for providing an interactive data service.

On the other hand, Figure 3 is a schematic diagram of a broadcast service system having a recommended program guide according to an embodiment of the present invention.

Referring to FIG. 3, a broadcast service system including a recommendation program guide according to an embodiment of the present invention includes a broadcaster 100, an IPTV broadcast system 1000, a program recommendation system 200, a user terminal 300, and the like. Includes a website 400.

The website 400 is a site including a search engine. When a plurality of users access the website 400 to query or search for a TV program related search term, the website 400 uses the search log on the Internet network. Via the program search log DB within the recommended program guide 200 via.

The program recommendation system 200 predicts future viewer ratings based on actual viewer ratings and logs of TV program related search queries retrieved from the search engine of the website 400, and recommends programs based on the predicted viewer ratings. Calculate the guide score of the guide. A detailed description of the program recommendation system 200 will be described later.

Here, the Internet connects the website 400 and the program recommendation system 200, and the Internet transmits the broadcast content provided by the IPTV broadcasting system 1000 to the set-top box 320 of the user terminal 300. In this case, the network is an IP (Internet Protocol) network using a unicasting protocol or a multicast routing protocol for transmitting a response signal from the user terminal 300 to the IPTV broadcasting system 1000.

The IPTV broadcasting system 1000 transmits the broadcast content to a storage server for storing broadcast content and the user terminal 300, and processes a user response signal (program recommendation request signal, program recommendation data, etc.) input from a return channel. And a control server for distributing broadcast content.

That is, the IPTV broadcasting system 1000 manages program recommendation content and EPG provided from the content provider or the broadcaster 100 and broadcasts the program recommendation content to a place adjacent to the subscriber through a CDN (Content Delivery Network). It can provide / record / play back services. In this case, the content provided from the content provider or the broadcaster 100 may include the related additional information and the EPG for the additional information.

The user terminal 300 is an apparatus for using an Internet broadcasting service, and is generally composed of an IPTV 310, a set top box 320, and a remote controller 330. The user terminal 300 outputs the broadcast content received from the IPTV broadcasting system 1000 and transmits the user response signal received through the remote controller 330 to the IPTV broadcasting system 1000 through the return channel of the set-top box 320. To pass.

Meanwhile, the program recommendation system 200 according to the embodiment of the present invention may be implemented as follows.

First, the program recommendation system 200 according to an exemplary embodiment of the present invention may predict a future program viewership based on a search log analysis. In this case, the TV program related search log may be analyzed and provided by a research institute and an affiliate broadcaster. After analyzing past and real-time program viewership, the analyzed data is modeled to predict future viewership.

In addition, the IPTV broadcasting program recommendation system 200 according to an embodiment of the present invention analyzes and patterns the usage history, extracts key keywords, and collects the viewing program history in cooperation with an affiliate broadcaster. At this time, the keyword information in the program is analyzed by dividing it into titles, genres, and cast members.

In addition, the program recommendation system 200 according to an embodiment of the present invention reflects the popularity and other tastes of other users, that is, scores by reflecting organizational information, predicted viewer ratings, channel weights, and user patterns, and comprehensively recommends them. Select a program. At this time, the organization information is compressed by reflecting the candidate object in time series, and the predicted viewer rating is reflected by scoring the predicted viewer rating, the channel weight reflects the weight for each channel such as the airwave region, the cable PP region, and the user pattern is the weight of the user pattern. The final score is calculated and the recommended program is selected.

4 is a block diagram of a program recommendation system according to an embodiment of the present invention.

Referring to FIG. 4, the program recommendation system 200 according to an embodiment of the present invention includes a program search log DB 211, a viewership / VOD popularity DB 212, a program table DB 213, and a program information DB 214. , History DB (215), viewer rating predictor 220, program keyword extraction unit 230, history history patterning unit 240, program ranking calculation unit 250, program recommendation unit 260, program query recommendation unit 270 and a data processor 280. Here, the solid line represents the data flow in the program recommendation system 200, the dashed line represents the data to be secured from the broadcaster 100, and the dashed line represents the feedback data of the user terminal 300.

The program search log DB 211 receives and stores a log of a TV program related search query from a search engine of the website 400.

The viewer rating predictor 220 analyzes the search log of the program search log DB 211, analyzes TV program listing data and viewer rating / VOD popularity data provided from the broadcaster 100, and models the analyzed data. Predict future viewership. For example, it is possible to predict the viewer rating of the program by extracting the number of searches of the search word related to the specific program from the search log and the number of searches of the search word generated when the specific program is broadcast.

That is, the number of searches for a program related search term, the number of searches for performers and historical facts of a specific program, the number of searches for trailers or replays, and the like for a predetermined time immediately after the end of a specific program series may be reflected in future viewership.

 In this case, the TV program listing data is stored in the programming table DB 213, and the viewership / VOD popularity data is stored in the rating / VOD popularity DB 212.

The program keyword extractor 230 extracts a program keyword from the program information provided from the broadcaster 100. At this time, the program information is stored in the program information DB 214.

The usage history patterner 240 patterns the usage history of the user provided from the broadcaster 100 and the viewing / reservation history of the user terminal according to the keywords extracted from the program keyword extractor 230. At this time, the usage history of the user is stored in the usage history DB (215).

The program ranking calculation unit 250 calculates a ranking by scoring each program according to the predicted future viewership and the extracted keyword. In addition, the program ranking calculation unit 250 may provide rankings for various themes according to past viewer ratings, real time viewer ratings, future viewer ratings, and user responses.

The ranking providing function provides the currently received viewer ratings for each program that is currently broadcasted or scheduled to be broadcasted, or predicts the viewer ratings using the number of Internet searches. We provide rankings by various themes (genre, age, channel, time and others) so that users can see them comfortably. In this case, a comprehensive list of recommended programs may also be provided by scoring the top ranked programs and program groups that the user may prefer.

The program recommender 260 recommends a program based on a real-time viewer rating and the predicted future viewer rating. In addition, the program recommendation unit 260 may recommend a program after assigning a score weight to the cable and the VOD in consideration of the relative ratings of the airwaves, the cable, and the VOD, and the pattern of the usage history patterning unit 240. The program can be recommended by considering further customized usage history.

This user history analysis and program recommendation records the viewing history of the user and analyzes the characteristics of the recorded watched program (genre, performer, director, subject matter, etc.), so that the programs of other viewers who have watched the same program are viewed. Compared with the selection or analyzing the similarity between the program to be watched and the program to be broadcast in the future, the program that the viewer prefers among the programs to be broadcasted or present in the VOD is provided.

The program search word recommendation unit 270 recommends a search word according to a search log of the program search log DB 211 and a search operation history of the search engine. In addition, the program search word recommendation unit 270 extracts a search keyword according to the patterned use history of the use history patterning unit 240 and recommends it as a recommended search word. In addition, the program search word recommendation unit 270 provides a broadcast program and a VOD as a search result. In this case, the VOD may be searched by genre.

That is, the search keyword recommendation function that the user may like may analyze the viewing history of the user so that the user may easily search for various programs, and extract the search keyword from the characteristics of the program that the user mainly watches.

The data processor 280 processes the ranking of the program ranking calculation unit 250, the recommended program of the program recommendation unit 260, and the recommended search word of the program search term recommendation unit 270 in a format that a user can check and search. Output Here, the data processor 280 selects and displays a font or an icon so that the user is more prominent as the program having a higher future viewer rating. In addition, the function that the user can easily see is, for example, in the form of a three-dimensional graph, the user's popularity by displaying the popularity of others in the time, the user's preference in the horizontal, the intensity of the font display (font size, thickness, color) Make it easy to see.

In addition, the program is arranged in a specific direction in consideration of the user's viewing preference, and a recommendation score reflecting the preferences of the entire user is displayed on each program, so that the user can easily check the degree of recommendation.

An example of the electronic program guide screen implemented by the data processor 280 will be described later.

As such, the program recommendation system according to the embodiment of the present invention enables a user to easily select a fun program when watching a multi-channel TV, and selects an appropriate program in consideration of the popularity of other users and the user's taste. I recommend you.

Program recommendation system according to an embodiment of the present invention can improve the existing EPG, can provide a service more in accordance with the user's viewing intention. That is, although the existing EPG is searched by channel-centered browsing and sorted by the FIFO method, the program recommendation system according to the embodiment of the present invention improves viewer satisfaction by arranging and scoring a program that reflects various data. .

5 is a diagram specifically illustrating a real-time recommendation program screen according to an embodiment of the present invention.

Referring to FIG. 5, the real-time recommendation program screen according to an embodiment of the present invention includes a sub-menu folder 710, a time zone selector 720 and 730, a recommended program display unit (real time, VOD) 740, and a recommendation score. The display unit 750 and the future program recommendation display unit 760 are shown.

The submenu folder 710 allows to move between submenus of various EPGs which are EPG functions.

The time zone selection unit 720 and 730 may check a recommendation program of a specific time zone (for example, evening time zone) from the present time and the moment after the user's selection.

The recommended program display unit 740 displays a recommended program among programs that are currently aired or are scheduled to be aired. The recommended program display unit 740 displays the prominent program having a higher future rating. For example, it can be displayed prominently by utilizing fonts and icons. In addition, the recommended program display unit 740 may be displayed on the left side of the program having a high degree of suitability for user preference.

The recommendation score display unit 750 may display the recommendation score calculated based on the actual ratings and the search log. For example, the recommendation score display unit 750 may be divided and displayed as N1 to N99.

If reflecting the user's taste is the arrangement of the recommendation program display unit 740, the emphasis and recommendation score display unit 750 on the display may be an indicator of a popular program with a high average user satisfaction.

However, the role of the display of the recommendation score and the recommendation program does not deviate from the spirit of the present invention even if they are interchanged.

The future program recommendation display unit 760 recommends a program that starts within 2 hours, for example, and a very important program can be configured to show a program within 24 hours. Other functions of the future program recommendation display unit 760 may be configured similarly to the recommendation program display unit 740 described above.

Meanwhile, FIG. 6 is a diagram illustrating a recommended program screen linked to an existing EPG according to an embodiment of the present invention.

Referring to FIG. 6, the recommendation program screen according to an embodiment of the present invention interworking with an existing EPG may further provide a recommendation score display unit 1110 in a mosaic EPG scheme.

In addition, the program information in the mosaic EPG may be added and processed as an EPG reflecting the user's taste by reflecting the layout, font, and special effects determined in the recommended program system.

As such, it will be appreciated that embodiments of the present invention may be combined with existing EPG configurations in a variety of ways.

7 is a flowchart illustrating a program recommendation method according to an embodiment of the present invention.

Referring to FIG. 7, in the program recommendation method according to an embodiment of the present invention, first, when a broadcast program is provided from a broadcaster or a content provider, the recommended program guide according to an embodiment of the present invention may be a website, for example. After receiving the Internet search log associated with the searched TV program by accessing the search engine, storing the program in the program search log DB, the search log is analyzed for each program (S1210). The search frequency, search time, search path, search word, etc. of keywords related to a program may be analyzed from the search log.

Next, the past and real time viewer ratings are analyzed by referring to the program list stored in the program schedule DB and the viewer ratings / VOD popularity stored in the DB (S1220). At this time, the data on the program schedule and viewer ratings / VOD popularity may be extracted from its own viewing statistics, or may be provided from a broadcaster or a content provider.

Next, based on the search log analysis, analysis of past and real-time viewer ratings, a future viewer rating for each program is predicted by modeling (S1230). Here, modeling for future viewer rating prediction may be obtained by applying the past and real-time viewer rating analysis results and the search log analysis results together. For example, in addition to past and real-time viewership, a future viewership value can be expected by adding parameters based on the number of search terms associated with a particular program, the concentration of a particular time zone of the search term, the number of replays or trailer requests, and the like.

Next, the user's viewing history is analyzed according to the user's viewing history, for example, a series of frequently viewed items, a favorite genre, a star of interest, and the like previously searched or searched by the user (S1240).

Next, a recommendation score for each program is given based on the real-time viewer rating and the future viewer rating, and a recommendation program is selected according to the recommendation score (S1250). At this time, the score and ranking for each program is calculated for each program based on the future viewer rating reflecting real-time viewer ratings and user response (query and other feedback). Here, the relative ratings for the airwaves, the cable broadcast program, or the VOD may be considered, and may reflect different weights.

In step S1260, the recommendation program guide to which the recommendation score is assigned is output based on the analysis of the viewing history of the user and the calculated program score. For example, through user history analysis, programs that match the user's taste are arranged and arranged from the left side, and the program scores are assigned and displayed for each program. For the program having a high program score, various emphasis effects such as bold or underline are given to the user so that the user can easily identify the recommended program.

According to an embodiment of the present invention, a service that is differentiated from an existing EPG is possible by combining a rich search query of a search engine and a smoothly return path of an IPTV. In detail, a recommendation may be smoothly changed by predicting and recommending a program having a high viewer rating based on a search query analysis, and quickly following a change in user's interest. In addition, it is easy to find a pro to watch outside the prime time, re-broadcasts of popular programs missed by the user, VOD can be easily found, and also to easily know the latest popular pro. In addition, a ranking may be selected or a program may be recommended based on accurate grasp of real-time viewer ratings. In this case, the program may be arranged based on a record of the user's viewing history.

One embodiment of the present invention can also be implemented in the form of a recording medium containing instructions executable by a computer, such as a program module executed by the 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, computer readable media 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 computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transmission mechanism, and includes any information delivery media.

Although the methods and systems of the present invention have been described in connection with specific embodiments, some or all of their components or operations may be implemented using a computer system having a general purpose hardware architecture.

In addition, the algorithm or program for implementing the EPG according to an embodiment of the present invention may be stored in the recording medium of the set-top box, it may be implemented on the screen of the broadcast service receiving apparatus such as IPTV.

The present invention described above is not limited to the above-described embodiments and the accompanying drawings, and it is common in the art that various substitutions, modifications, and changes can be made without departing from the technical spirit of the present invention. It will be evident to those who have knowledge of.

1 is a schematic configuration diagram of a general IPTV broadcasting service system.

2A and 2B are diagrams illustrating a grid EPG screen and a mosaic EPG screen according to the prior art, respectively.

3 is a schematic diagram of an IPTV broadcasting service system having a recommended program guide according to an embodiment of the present invention.

4 is a block diagram of a program recommendation system according to an embodiment of the present invention.

5 is a diagram specifically illustrating a real-time recommendation program screen according to an embodiment of the present invention.

6 is a diagram illustrating a recommended program screen linked to an existing EPG according to an embodiment of the present invention.

7 is a flowchart illustrating a method of recommending a program for IPTV broadcasting according to an embodiment of the present invention.

Claims (15)

Program search log DB, which stores search word logs related to the collected broadcast programs, An audience rating predictor for analyzing the collected keyword log to predict a future audience rating of the broadcast program; A program recommending unit generating broadcast program recommendation data based on the predicted future viewership Including, The search word log is a broadcast program recommendation system including search information generated for a preset time from the broadcast time of the broadcast program. The method of claim 1, And the viewer rating predictor predicts a future viewer rating of the broadcast program by analyzing and modeling the collected search word log and historical viewer rating data of the broadcast program. The method of claim 1, And the program recommendation unit generates the broadcast program recommendation data in consideration of the predicted future audience rating and the past viewer rating of the broadcast program. The method of claim 3, wherein The program recommendation unit generates a broadcast program recommendation data by giving a weight according to the type of the broadcast program. The method of claim 1, Further comprising a data processing unit for outputting data in a format that can be checked and searched by the user using the output value of the program recommendation unit, The data processing unit, the broadcast program recommendation system for selecting and displaying a font or icon so that the user is more prominent as the future viewer rating program. The method of claim 1, Further comprising a data processing unit for outputting data in a format that can be checked and searched by the user using the output value of the program recommendation unit, And the data processing unit arranges and displays a recommendation score based on the future viewership in the program. The method according to claim 5 or 6, Further comprising a usage history DB for storing the usage history of the broadcast viewer, And the data processing unit sequentially arranges and displays a program suitable for a user's taste in a specific direction based on the usage history. The method of claim 4, wherein The program recommendation unit recommends a program after assigning a score weight to the cable and the VOD in consideration of the relative ratings of the airwaves, the cable, and the VOD. In the method for providing a broadcast program recommendation screen, Highlighting the shows that are currently airing or will be airing: Displaying a recommendation score based on the future viewership in correspondence with the program; The future viewership is calculated by analyzing an internet search log, wherein the Internet search log includes a search information generated for a predetermined time from the airing time of the program. The method of claim 9, Arranging the program sequentially from a specific direction according to the user's taste suitability; And the user taste suitability is calculated from a viewing history of the user. In the broadcast program recommendation method, a) analyzing internet search logs related to TV programs provided from a search engine, b) analyzing past and real-time viewer ratings according to programming data and viewer ratings / VOD popularity data provided by broadcasters; c) predicting future viewer ratings for each program by modeling the analyzed search log and the analyzed past and real time viewer ratings; d) calculating a ranking by scoring each program according to the predicted future viewer rating and the extracted keyword, and recommending a program according to the real-time viewer rating and the predicted future viewer rating; e) processing and outputting a program recommended by the program recommendation unit in a format that a user can check and search; Including, The Internet search log is a broadcast program recommendation method comprising the search information generated for a predetermined time from the airing time of the TV program. The method of claim 11, wherein In the step e), the program for selecting a broadcast or a program to display a font or icon so that the user is more prominent as the future viewer rating. The method of claim 11, wherein The step e), the program program recommendation method for placing and displaying the score calculated in the ranking in the program. The method of claim 11, wherein In step d), the program is recommended after assigning a score weight to the cable and the VOD in consideration of the relative ratings of the airwaves, the cable, and the VOD. A computer-readable recording medium having recorded thereon a program for recommending a broadcast program, the recording medium having a program that implements the method according to any one of claims 11 to 14.

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