CN108810655B - Method for realizing live broadcast real-time recommendation scheme based on IP - Google Patents
Method for realizing live broadcast real-time recommendation scheme based on IP Download PDFInfo
- Publication number
- CN108810655B CN108810655B CN201810698276.XA CN201810698276A CN108810655B CN 108810655 B CN108810655 B CN 108810655B CN 201810698276 A CN201810698276 A CN 201810698276A CN 108810655 B CN108810655 B CN 108810655B
- Authority
- CN
- China
- Prior art keywords
- program
- channel
- live
- time
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/845—Structuring of content, e.g. decomposing content into time segments
- H04N21/8456—Structuring of content, e.g. decomposing content into time segments by decomposing the content in the time domain, e.g. in time segments
-
- 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]
- H04N21/20—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
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26258—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list
-
- 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
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26283—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for associating distribution time parameters to content, e.g. to generate electronic program guide data
-
- 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
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
-
- 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
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. 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
- H04N21/47—End-user applications
- H04N21/482—End-user interface for program selection
- H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
-
- 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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/85—Assembly of content; Generation of multimedia applications
- H04N21/854—Content authoring
- H04N21/8547—Content authoring involving timestamps for synchronizing content
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Computer Security & Cryptography (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Human Computer Interaction (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a method for realizing a live broadcast real-time recommendation scheme based on IP, which is used for providing live broadcast television service, comprises live broadcast program real-time recommendation service, and specifically comprises live broadcast channel data used for providing a list of all live broadcast channels; the channel electronic program list service is used for aggregating the EPG electronic program lists of all live broadcast channels; the user watching behavior data integrates the watching behavior data of the system used by the user and the streaming media on-demand system; the PMS service is used for being in butt joint with a hotel PMS system to obtain accurate PMS data of a user and obtain user data; a channel classification service for providing channel classification list data; and intelligent recommendation, wherein the program list of the next time period is provided based on the user watching behavior data, the PMS service, the channel classification and the channel electronic program list service. The invention can organize and play the live programs according to the channel classification, match the next program, reduce the advertisement time and improve the experience of the client.
Description
Technical Field
The invention relates to a live broadcast technology, in particular to an IP-based live broadcast real-time recommendation scheme implementation method.
Background
At present, live broadcast organizes programs according to channels, and the current live broadcast product form has the following problems:
1. the live broadcast is channelized and linearized, and users passively receive real-time content of channels and lack interaction.
2. The single channel cannot play the favorite programs of the user at all time due to the influence of the advertisement, the user's favorite and other factors.
Disclosure of Invention
The invention provides an implementation method of an IP-based live broadcast real-time recommendation scheme, which can organize and play live broadcast programs according to channel types, intelligently match the next program according to user preferences and user data, reduce advertisement time and improve the experience of customers.
In order to solve the technical problems, the technical scheme of the invention is as follows: an implementation method of a live broadcast real-time recommendation scheme based on IP is used for providing live broadcast television service,
including live program real-time recommendation services, specifically,
live channel data for providing a list of live channels;
the channel electronic program list service is used for aggregating EPG electronic program lists of all live channels, namely broadcast programs and broadcast time interval information of all live channels, and storing the broadcast programs and the broadcast time interval information into a database;
the user watching behavior data integrates the watching behavior data of the system used by the user and the streaming media on-demand system, and portrays the user portrait;
the PMS service is used for being in butt joint with a hotel PMS system to obtain accurate PMS data of a user, is used for accurately depicting a user picture, and obtains user data including nationality, gender, age and birthday information of the user according to the PMS data;
the channel classification service is used for providing channel classification list data, and the channel classification list data is associated with live broadcast channel data and channel electronic program list service data;
and intelligently recommending, providing a program list of the next time period based on the user watching behavior data, the PMS service, the channel classification and the channel electronic program list service, and pushing the program list to the live television service.
As an optimal technical scheme, the program list of the next time period is intelligently recommended to be a program of the live channel, and the programs are reorganized according to the classification of the live channel.
The preferred technical proposal comprises a customized live broadcast streaming media server supporting the live broadcast program real-time recommendation service, which comprises,
the TS slice cache pool may, specifically,
a. when an upstream live broadcast channel provides live broadcast streams in an http long connection mode, synchronizing all live broadcast channels to a cache pool, performing TS slicing according to key frame alignment, storing, and marking slicing time for each slice of each channel by current time;
b. when the upstream live channel is in the M3U8 protocol and is not in key frame alignment, re-slice alignment is required, and if the original slice name is time-stamped, the time stamp is extracted to mark the slice time;
c. when the upstream live channel is in an M3U8 protocol and is not in key frame alignment, slicing alignment needs to be carried out again, and if the original slice name has no timestamp, the current time is taken to mark the slicing time;
d. when the upstream live channel is M3U8 protocol and is key frame aligned, if the original slice name is time stamped, the time-stamped slice time is extracted;
e. when the upstream live channel is M3U8 protocol and is key frame aligned, the current timestamp slice time is taken if the original slice name is not timestamped.
As a preferred technical solution, each TS slice is key frame aligned.
As a preferred technical solution, the live tv service specifically includes,
a. selecting channel classification, recommending an initial program list according to user preference and user data, and sorting in a descending order according to matching degree;
b. the user is currently watching program P1 of channel category L1, program P1 belongs to channel C1, and program P1 is about to jump to the next program when it is near the end;
c. calling intelligent recommendation, and recommending the next program list according to the user preference matching;
d. after the user finishes setting the current program, automatically switching to the next program which is most matched with the user's preference, or manually selecting the next program to be watched from the program list;
e. the user manually selects a channel category;
f. the program is smoothly switched.
As a preferred technical scheme, when the program is switched to the next program, the program is switched smoothly, the new program is cached first, after the caching is completed, the new program stream information is analyzed, the video and audio decoders are created again for the new program, then the frame information of the new program is rendered, and the smooth switching to the new program is guaranteed.
As a preferred technical solution, the program lists of the next time period provided by the intelligent recommendation are arranged in a descending order according to the matching degree.
Due to the adoption of the technical scheme, the programs are organized according to the channel classification, the live broadcast effect is the same, the programs of different channels can be organized into a channel type, the live broadcast program with the most interest is provided for a user, the live broadcast programs can be organized and played according to the channel classification, the next program is intelligently matched according to the preference of the user, the advertisement time is reduced, and the experience of watching the live broadcast by the user is improved.
Drawings
The drawings are only for purposes of illustrating and explaining the present invention and are not to be construed as limiting the scope of the present invention. Wherein:
fig. 1 is a schematic diagram of an implementation of an embodiment of the invention.
Detailed Description
The invention is further illustrated below with reference to the figures and examples. In the following detailed description, certain exemplary embodiments of the present invention are described by way of illustration only. Needless to say, a person skilled in the art realizes that the described embodiments can be modified in various different ways without departing from the spirit and scope of the present invention. Accordingly, the drawings and description are illustrative in nature and not intended to limit the scope of the claims.
In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
As shown in fig. 1, an implementation method of an IP-based live broadcast real-time recommendation scheme is used for providing live broadcast television services,
including live program real-time recommendation services, specifically,
live channel data for providing a list of live channels;
the channel electronic program list service is used for aggregating EPG electronic program lists of all live channels, namely broadcast programs and broadcast time interval information of all live channels, and storing the broadcast programs and the broadcast time interval information into a database;
the user watching behavior data integrates the watching behavior data of the system used by the user and the streaming media on-demand system, and portrays the user portrait;
the PMS service is used for being in butt joint with a hotel PMS system to obtain accurate PMS data of a user, is used for accurately depicting a user picture, and obtains user data comprising nationality, gender, age and birthday information of the user according to the PMS data;
the channel classification service is used for providing channel classification list data, the channel classification list data is associated with live channel data and data of a channel electronic program list service, a program is content played by each channel, the channel classification is classification of main programs played according to each channel, for example, the channel classification can be divided into sports, finance, education, news and the like, and each channel classification can contain a plurality of channels and programs thereof;
and intelligently recommending, providing a program list of the next time period based on the user watching behavior data, the PMS service, the channel classification and the channel electronic program list service, and pushing the program list to the live television service.
The intelligent recommendation provides a program list of the next time period to program the live channels, reorganizes the programs according to the classification of the live channels, divides the live channels into different programs according to the time period, and organizes the programs of the same type of the channels together by channel classification, so that a user can see the most interesting and valuable programs, and the passive receiving of linear playing of the live channels is avoided.
Comprises a customized live broadcast streaming media server supporting the live broadcast program real-time recommendation service, comprising,
the TS slice cache pool may, specifically,
a. when an upstream live broadcast channel provides live broadcast streams in an http long connection mode, synchronizing all live broadcast channels to a cache pool, performing TS slicing according to key frame alignment, storing, and marking slicing time for each slice of each channel by current time;
b. when the upstream live channel is in the M3U8 protocol and is not in key frame alignment, re-slice alignment is required, and if the original slice name is time-stamped, the time stamp is extracted to mark the slice time;
c. when the upstream live channel is in an M3U8 protocol and is not in key frame alignment, slicing alignment needs to be carried out again, and if the original slice name has no timestamp, the current time is taken to mark the slicing time;
d. when the upstream live channel is M3U8 protocol and is key frame aligned, if the original slice name is time stamped, the time-stamped slice time is extracted;
e. when the upstream live channel is M3U8 protocol and is key frame aligned, the current timestamp slice time is taken if the original slice name is not timestamped.
In the above step, the slice is marked, and the method can use the timestamp to name the slice or use the database to record the corresponding relationship between the timestamp and the slice.
Each TS slice is a key frame alignment.
The customized live streaming server also includes a M3U8 dynamic generation service that initiates viewing, provides a list of selectable programs, and recommends the best match by default.
The live tv service is specifically a live tv service,
a. selecting channel classification, recommending an initial program list according to user preference and user data, and sorting in a descending order according to matching degree;
b. the user is currently watching program P1 of channel category L1, program P1 belongs to channel C1, and program P1 is about to jump to the next program when it is near the end;
c. calling intelligent recommendation, and recommending the next program list according to the user preference matching;
d. after the user finishes setting the current program, automatically switching to the next program which is most matched with the user's preference, or manually selecting the next program to be watched from the program list;
e. the user manually selects a channel category;
f. the program is smoothly switched.
f. When the program is switched to the next program smoothly, the new program is firstly cached, after the caching is finished, the new program stream information is analyzed, the video and audio decoders are created aiming at the new program again, then the frame information of the new program is rendered, and the smooth switching to the new program is guaranteed.
The program lists in the next time interval provided by the intelligent recommendation are arranged in descending order according to the matching degree.
The embodiment organizes programs according to program categories, is also a live broadcast effect, and can organize the programs of different channels into a category to provide the best live broadcast program for users. When the program is switched, the previous program picture is continuously played, the new program is firstly cached, after the caching is finished, the new program stream information is analyzed, the video and audio decoders are created again aiming at the new program, then the frame information of the new program is rendered, and the smooth switching to the new program is ensured. According to the embodiment, live programs can be organized and played according to channel classification, the next program can be intelligently matched according to the preference of the user, the advertising time is reduced, and the experience of watching live programs by the user is improved.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. An implementation method of a live broadcast real-time recommendation scheme based on IP is used for providing live broadcast television service, and is characterized in that:
including live program real-time recommendation services, specifically,
live channel data for providing a list of live channels;
the channel electronic program list service is used for aggregating EPG electronic program lists of all live channels, namely broadcast programs and broadcast time interval information of all live channels, and storing the broadcast programs and the broadcast time interval information into a database;
the user watching behavior data integrates the watching behavior data of the system used by the user and the streaming media on-demand system, and portrays the user portrait;
the PMS service is used for being in butt joint with a hotel PMS system to obtain accurate PMS data of a user, accurately depicting a user picture and obtaining user data according to the PMS data;
the channel classification service is used for providing channel classification list data, and the channel classification list data is associated with live broadcast channel data and channel electronic program list service data;
and intelligently recommending, providing a program list of the next time period based on the user watching behavior data, the PMS service, the channel classification and the channel electronic program list service, and pushing the program list to the live television service.
2. The method for implementing an IP-based live broadcast real-time recommendation scheme of claim 1, wherein: and intelligently recommending a program list for providing a next time period to program the live channels, and reorganizing the programs according to the classification of the live channels.
3. The method for implementing an IP-based live broadcast real-time recommendation scheme of claim 1, wherein: comprises a customized live broadcast streaming media server supporting the live broadcast program real-time recommendation service, comprising,
the TS slice cache pool may, specifically,
a. when an upstream live broadcast channel provides live broadcast streams in an http long connection mode, synchronizing all live broadcast channels to a cache pool, performing TS slicing according to key frame alignment, storing, and marking slicing time for each slice of each channel by current time;
b. when the upstream live channel is in the M3U8 protocol and is not in key frame alignment, re-slice alignment is required, and if the original slice name is time-stamped, the time stamp is extracted to mark the slice time;
c. when the upstream live channel is in an M3U8 protocol and is not in key frame alignment, slicing alignment needs to be carried out again, and if the original slice name has no timestamp, the current time is taken to mark the slicing time;
d. when the upstream live channel is M3U8 protocol and is key frame aligned, if the original slice name is time stamped, the time-stamped slice time is extracted;
e. when the upstream live channel is M3U8 protocol and is key frame aligned, the current timestamp slice time is taken if the original slice name is not timestamped.
4. The method for implementing an IP-based live broadcast real-time recommendation scheme of claim 3, wherein: each TS slice is a key frame alignment.
5. The method for implementing an IP-based live broadcast real-time recommendation scheme of claim 1, wherein: the live tv service is specifically a live tv service,
a. selecting channel classification, recommending an initial program list according to user preference and user data, and sorting in a descending order according to matching degree;
b. the user is currently watching program P1 of channel category L1, program P1 belongs to channel C1, and program P1 is about to jump to the next program when it is near the end;
c. calling intelligent recommendation, and recommending the next program list according to the user preference matching;
d. after the user finishes setting the current program, automatically switching to the next program which is most matched with the user's preference, or manually selecting the next program to be watched from the program list;
e. the user manually selects a channel category;
f. the program is smoothly switched.
6. The method of claim 5, wherein the method comprises: f. when the program is switched to the next program smoothly, the new program is firstly cached, after the caching is finished, the new program stream information is analyzed, the video and audio decoders are created aiming at the new program again, then the frame information of the new program is rendered, and the smooth switching to the new program is guaranteed.
7. The method for implementing an IP-based live broadcast real-time recommendation scheme according to any one of claims 1 to 6, wherein: the program lists in the next time interval provided by the intelligent recommendation are arranged in descending order according to the matching degree.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810698276.XA CN108810655B (en) | 2018-06-29 | 2018-06-29 | Method for realizing live broadcast real-time recommendation scheme based on IP |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810698276.XA CN108810655B (en) | 2018-06-29 | 2018-06-29 | Method for realizing live broadcast real-time recommendation scheme based on IP |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108810655A CN108810655A (en) | 2018-11-13 |
| CN108810655B true CN108810655B (en) | 2020-09-18 |
Family
ID=64073583
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810698276.XA Active CN108810655B (en) | 2018-06-29 | 2018-06-29 | Method for realizing live broadcast real-time recommendation scheme based on IP |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108810655B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111683290B (en) * | 2020-06-17 | 2022-07-01 | 未来电视有限公司 | Program playing method and device, intelligent terminal and readable storage medium |
| CN111726651A (en) * | 2020-07-03 | 2020-09-29 | 浪潮云信息技术股份公司 | Audio and video stream live broadcasting method and system based on HILS protocol |
| CN115002490A (en) * | 2021-03-01 | 2022-09-02 | 山东云缦智能科技有限公司 | Method and system for automatically generating multi-channel preview according to user watching behavior |
| CN113329233B (en) * | 2021-04-30 | 2022-09-09 | 北京达佳互联信息技术有限公司 | Live broadcast data processing method and device, electronic equipment and storage medium |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101130217B1 (en) * | 2007-11-06 | 2012-03-28 | 숭실대학교산학협력단 | Content Recommendation Method for Multiple Users |
| CN101917389B (en) * | 2009-12-17 | 2013-11-06 | 新奥特（北京）视频技术有限公司 | Network television direct broadcasting system |
| KR101402406B1 (en) * | 2011-10-11 | 2014-06-03 | 네이버 주식회사 | Method and apparatus for providing integrated electronic program guide of multi input sources |
| CN102572543A (en) * | 2012-02-29 | 2012-07-11 | 中山大学 | Digital television program recommending system and method thereof |
| CN104506967B (en) * | 2015-01-05 | 2017-11-21 | 百视通网络电视技术发展有限责任公司 | The live real time conversion methods and system for flowing to HLS live TV streams of UDP |
| CN105046600A (en) * | 2015-07-09 | 2015-11-11 | 传成文化传媒（上海）有限公司 | Personalized information recommendation method and system of televisions for hotels |
| CN105407381B (en) * | 2015-10-30 | 2019-02-22 | 北京奇艺世纪科技有限公司 | A kind of video program play method and device |
| CN106534903A (en) * | 2016-12-15 | 2017-03-22 | 四川长虹电器股份有限公司 | Smart TV direct broadcasting and program requesting combined recommending method |
-
2018
- 2018-06-29 CN CN201810698276.XA patent/CN108810655B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN108810655A (en) | 2018-11-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20230024837A1 (en) | Automated identification of video program content | |
| CN108810655B (en) | Method for realizing live broadcast real-time recommendation scheme based on IP | |
| US20200221163A9 (en) | Method for receiving enhanced service and display apparatus thereof | |
| KR102044647B1 (en) | Transmission device and method, reception device and method, and transmission and reception system | |
| US9398328B2 (en) | Video display device and method for controlling same | |
| CN104053067B (en) | A kind of player method of programme televised live, terminal and server | |
| US20020120929A1 (en) | Method and system for mass customization of digital television broadcasts | |
| CN105230035B (en) | The processing of the social media of time shift multimedia content for selection | |
| US20120116883A1 (en) | Methods and systems for use in incorporating targeted advertising into multimedia content streams | |
| US20080010584A1 (en) | Method and apparatus for presentation of a presentation content stream | |
| CN102572544B (en) | System and method for playing advertisement in digital television network | |
| KR20100055712A (en) | Method and apparatus for recommending content personally | |
| US8881196B2 (en) | Video playback apparatus, information providing apparatus, information providing system, information providing method and program | |
| JP2010130051A (en) | System of distributing content directed to individual | |
| US8887219B2 (en) | Information providing apparatus, information receiving terminal, information providing system, information providing method and program | |
| CN109218772A (en) | Smart television information-pushing method and device | |
| CN103533400B (en) | Method and system for realizing individualized time-shifted television | |
| JP4162041B2 (en) | Program viewing notification device | |
| JP7066550B2 (en) | Viewing history analysis device for watching broadcast programs, display method of viewing history analysis | |
| US20120263431A1 (en) | Video content reproduction apparatus and method of displaying content information | |
| KR101325242B1 (en) | Vod recommendation system in digital cable broadcast and method thereof | |
| KR101394611B1 (en) | System and method for providing video advertisement | |
| US20210281923A1 (en) | Automated commercial content shifting in a video streaming system | |
| JP2007274704A (en) | Program viewing notifying apparatus | |
| US20130232531A1 (en) | Video and/or audio data processing system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |