CN108810655A - The implementation method of real-time recommendation scheme is broadcast live in IP-based - Google Patents

Abstract

The invention discloses an IP-based method for implementing a live broadcast real-time recommendation scheme, which is used to provide live TV services, including live program real-time recommendation services, specifically, live channel data, which is used to provide a list of each live channel; channel electronic program Single service, used to aggregate the EPG electronic program list of each live channel; user viewing behavior data, integrating user viewing behavior data using this system and the streaming media on-demand system; PMS service, used to connect with the hotel PMS system to obtain accurate user PMS data , to obtain user data; channel classification service, used to provide channel classification list data; intelligent recommendation, based on user viewing behavior data, PMS service, channel classification and channel electronic program guide service to provide the program list for the next time period. The present invention can organize and play live programs according to channel classification, match the next program, reduce advertising time, and improve customer experience.

Description

Implementation method of IP-based real-time live broadcast recommendation scheme

technical field

The invention relates to a live broadcast technology, in particular to an implementation method of an IP-based live broadcast real-time recommendation scheme.

Background technique

At present, live broadcasting organizes programs according to channels, and the current live broadcasting product form has the following problems:

1. The live broadcast is channelized and linearized, and users passively accept the real-time content of the channel, lacking interaction.

2. A single channel cannot play programs that users like in full time due to factors such as advertisements and user preferences.

Contents of the invention

The present invention provides an IP-based real-time live broadcast recommendation solution implementation method that can organize and play live programs according to channel types, intelligently match the next program according to user preferences and user data, reduce advertising time, and improve customer experience.

In order to solve the above technical problems, the technical solution of the present invention is: an implementation method of an IP-based live broadcast real-time recommendation solution, which is used to provide live TV services,

Including live program real-time recommendation service, specifically,

Live channel data, used to provide a list of each live channel;

Channel electronic program guide service, which is used to aggregate the EPG electronic program list of each live channel, that is, the broadcast programs and broadcast time information of each live channel, and store them in the database;

User viewing behavior data, integrating the viewing behavior data of users using this system and the streaming media on-demand system, and portraying user portraits;

PMS service, used to connect with the hotel PMS system to obtain accurate PMS data of users, used to accurately portray user portraits, and obtain user data including user nationality, gender, age, and birthday information based on PMS data;

Channel classification service, which is used to provide channel classification list data, and the channel classification list data is associated with live channel data and channel electronic program list service data;

Intelligent recommendation, based on user viewing behavior data, PMS service, channel classification and channel electronic program list service to provide the program list for the next time period, and push it to the live TV service.

As a preferred technical solution, the intelligent recommendation provides the program list for the next period in order to program the live channels and reorganize the programs according to the classification of the live channels.

As a preferred technical solution, it includes a customized live streaming media server supporting the real-time recommendation service of the live program, including,

TS slice cache pool, specifically,

a. When the upstream live channel provides live streams in the form of http long connections, all live channels are synchronized to the buffer pool, and TS slices are aligned and stored according to key frames, and the slice time is marked for each slice of each channel with the current time;

b. When the upstream live channel is M3U8 protocol, and the key frame is not aligned, you need to re-align the slice. If the original slice name has a timestamp, extract the timestamp to mark the slice time;

c. When the upstream live channel is the M3U8 protocol, and the key frame is not aligned, then the slice alignment needs to be re-aligned. If the original slice name has no timestamp, the current timestamp slice time is taken;

d. When the upstream live channel is M3U8 protocol and key frame alignment, if the original slice name has a time stamp, extract the time mark slice time;

e. When the upstream live channel uses the M3U8 protocol and keyframe alignment, if the original slice name has no timestamp, the current timestamp slice time will be used.

As a preferred technical solution, each TS slice is aligned with key frames.

As a preferred technical solution, the live TV service specifically includes:

a. Select the channel category, recommend the initial program list according to user preferences and user data, and arrange in descending order of matching degree;

b. The user is currently watching program P1 of channel category L1, and program P1 belongs to channel C1. When program P1 comes to an end, it is ready to skip to the next program;

c. Invoke smart recommendation to match and recommend the next program list according to user preferences;

d. After the user sets the current program, it will automatically switch to the next program that best matches the user's preferences, or manually select the next program to watch from the program list;

e. The user manually selects the channel category;

f. Smoothly switch programs.

As a preferred technical solution, f, smooth program switching is specifically when switching to the next program, first cache the new program, after the buffering is completed, analyze the stream information of the new program, recreate video and audio decoders for the new program, and then render the new program frame information to ensure smooth switching to new programs.

As a preferred technical solution, the program list of the next period provided by the intelligent recommendation is arranged in descending order of matching degree.

Due to the adoption of the above technical solution, the present invention organizes programs according to channel classification, which is also the effect of live broadcasting. Programs of different channels can be organized into one channel type to provide users with the most interesting live programs, which can be organized according to channel classification, Play live programs, intelligently match the next program according to user preferences, reduce advertising time, and improve users' experience in watching live broadcasts.

Description of drawings

The following drawings are only intended to illustrate and explain the present invention schematically, and do not limit the scope of the present invention. in:

FIG. 1 is a schematic diagram of an implementation of an embodiment of the present invention.

Detailed ways

Below in conjunction with accompanying drawing and embodiment, further elaborate the present invention. In the following detailed description, certain exemplary embodiments of the invention are described by way of illustration only. Needless to say, those skilled in the art would realize that the described embodiments can be modified in various different ways, all 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 various embodiments of the present invention described below may be combined with each other as long as they do not constitute a conflict with each other.

As shown in Figure 1, an implementation method of an IP-based live broadcast real-time recommendation solution is used to provide live TV services,

Including live program real-time recommendation service, specifically,

Live channel data, used to provide a list of each live channel;

Channel electronic program guide service, which is used to aggregate the EPG electronic program list of each live channel, that is, the broadcast programs and broadcast time information of each live channel, and store them in the database;

User viewing behavior data, integrating the viewing behavior data of users using this system and the streaming media on-demand system, and portraying user portraits;

PMS service, used to connect with the hotel PMS system to obtain accurate PMS data of users, used to accurately portray user portraits, and obtain user data including user nationality, gender, age, and birthday information based on PMS data, except of course user nationality, gender, and age , birthday information, other content can also be obtained according to the actual operation situation, so I won’t go into details here;

Channel classification service, used to provide channel classification list data, the channel classification list data is associated with live channel data and channel electronic program list service data, the program is the content played by each channel, and the channel classification is based on the main programs played by each channel Classification, such as channel classification can be divided into sports, finance, education, news, etc., each channel classification can contain several channels and its programs;

Intelligent recommendation, based on user viewing behavior data, PMS service, channel classification and channel electronic program list service to provide the program list for the next time period, and push it to the live TV service.

Intelligent recommendation provides the program list for the next time period. In order to program live channels, reorganize programs according to live channel classification, divide each live channel into different programs according to time periods, and use channel classification to organize programs of the same type on each channel. It is beneficial for users to see the most interesting and valuable programs, and avoid passively receiving linear broadcast of live channels.

Including a customized live streaming media server supporting the real-time recommendation service of the live program, including,

TS slice cache pool, specifically,

a. When the upstream live channel provides live streams in the form of http long connections, all live channels are synchronized to the buffer pool, and TS slices are aligned and stored according to key frames, and the slice time is marked for each slice of each channel with the current time;

b. When the upstream live channel is M3U8 protocol, and the key frame is not aligned, you need to re-align the slice. If the original slice name has a timestamp, extract the timestamp to mark the slice time;

c. When the upstream live channel is the M3U8 protocol, and the key frame is not aligned, then the slice alignment needs to be re-aligned. If the original slice name has no timestamp, the current timestamp slice time is taken;

d. When the upstream live channel is M3U8 protocol and key frame alignment, if the original slice name has a time stamp, extract the time mark slice time;

e. When the upstream live channel uses the M3U8 protocol and keyframe alignment, if the original slice name has no timestamp, the current timestamp slice time will be used.

The method of marking slices in the above steps may use timestamps to name slices or use a database to record the correspondence between timestamps and slices.

Each TS slice is keyframe aligned.

The customized live streaming media server also includes M3U8 dynamic generation service, initially enters to watch, provides a list of selectable programs, and recommends the most matching program by default.

The live TV service is specifically,

a. Select the channel category, recommend the initial program list according to user preferences and user data, and arrange in descending order of matching degree;

b. The user is currently watching program P1 of channel category L1, and program P1 belongs to channel C1. When program P1 comes to an end, it is ready to skip to the next program;

c. Invoke smart recommendation to match and recommend the next program list according to user preferences;

d. After the user sets the current program, it will automatically switch to the next program that best matches the user's preferences, or manually select the next program to watch from the program list;

e. The user manually selects the channel category;

f. Smoothly switch programs.

f. Smoothly switch programs. Specifically, when switching to the next program, first cache the new program. After the buffering is completed, analyze the stream information of the new program, recreate the video and audio decoders for the new program, and then render the frame information of the new program to ensure smoothness. to switch to a new program.

The program list of the next period provided by the intelligent recommendation is arranged in descending order of matching degree.

In this embodiment, programs are organized according to program categories, which is also the effect of live broadcasting. Programs of different channels can be organized into one category to provide users with the best live programs. When switching programs, the previous program screen continues to play, and the new program is buffered first. After the buffering is completed, the new program stream information is analyzed, and the video and audio decoders are recreated for the new program, and then the frame information of the new program is rendered to ensure smooth switching to new show. This embodiment can organize and play live programs according to channel classification, intelligently match the next program according to user preferences, reduce advertising time, and improve user experience in watching live broadcasts.

The basic principles, main features and advantages of the present invention have been shown and described above. Those skilled in the industry should understand that the present invention is not limited by the above-mentioned embodiments. What are described in the above-mentioned embodiments and the description only illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will also have Variations and improvements are possible, which fall within the scope of the claimed invention. The protection scope of the present invention is defined by the appended claims and their equivalents.

Claims (7)

1. a kind of implementation method of IP-based live streaming real-time recommendation scheme, for providing live telecast service, it is characterised in that：

Including programme televised live real-time recommendation service, specifically,

Direct broadcast band data, the list for providing each direct broadcast band；

Channel electronic program list service, for polymerizeing each direct broadcast band EPG electronic program lists, i.e., each direct broadcast band broadcasting program, Period information is played, database is stored in；

User watches behavioral data, integrates the viewing behavioral data that user uses this system and demand stream media system, portrays use It draws a portrait at family；

PMS service, for obtaining user's accurately PMS data with hotel's PMS system dockings, for precisely portraying user's portrait, User data is obtained according to PMS data；

Channel classification service, for providing channel classification table data, channel classification table data and direct broadcast band data, channel The data correlation of electronic program list service；

Intelligent recommendation is watched based on user under behavioral data, PMS service, channel classification and channel electronic program list service offer The programme of one period pushes to live telecast service.

2. the implementation method of IP-based live streaming real-time recommendation scheme as described in claim 1, it is characterised in that：Intelligent recommendation The programme for providing next period is that direct broadcast band is programmed, classifies according to direct broadcast band and reorganizes program.

3. the implementation method of IP-based live streaming real-time recommendation scheme as described in claim 1, it is characterised in that：Including support The customization live broadcast stream media server of the programme televised live real-time recommendation service, including,

TS is sliced cache pool, specifically,

A, when upstream direct broadcast band provides live TV stream with http long types of attachment, all direct broadcast bands are synchronized to cache pool, and It is aligned according to key frame and carries out TS slices and store, when being sliced with each biopsy marker that current time is each channel Between；

B, when upstream, direct broadcast band is M3U8 agreements, and not key frame is aligned, then needs to be sliced alignment again, if original It is sliced name and carries timestamp, then extract the timestamp label slice time；

C, when upstream, direct broadcast band is M3U8 agreements, and not key frame is aligned, then needs to be sliced alignment again, if original Name no-timestamps are sliced, then current time stamp is taken to be sliced the time；

D, when upstream, direct broadcast band is M3U8 agreements, and is key frame alignment, if original slice name carries timestamp, Extract the label slice time time；

E, when upstream, direct broadcast band is M3U8 agreements, and is key frame alignment, if original slice name no-timestamps, take Current time stamp is sliced the time.

4. the implementation method of IP-based live streaming real-time recommendation scheme as claimed in claim 3, it is characterised in that：Each TS Slice is key frame alignment.

5. the implementation method of IP-based live streaming real-time recommendation scheme as described in claim 1, it is characterised in that：The live streaming TV service specifically,

A, channel classification is selected, recommends initial program list according to user preferences, user data, is arranged by matching degree descending；

B, the program P1 of channel classification L1 is currently viewed in user, and program P1 belongs to channel C1, accurate when program P1 draws to an end It is standby to jump to next program；

C, intelligent recommendation is called, recommends next programme according to user preferences matching；

D, after the completion of user setting actual program, automatically switch next user preferences and most match program, or manually from program The next program to be watched is selected in list；

E, user manually selects channel classification；

F, program is taken over seamlessly.

6. the implementation method of IP-based live streaming real-time recommendation scheme as claimed in claim 5, it is characterised in that：F, it smoothly cuts It is specially first to cache new program when being switched to next program to change program, after the completion of buffering, analyzes new program stream information, for New program re-creates video, audio decoder, then renders the frame information of new program, ensures and smooth is switched to new program.

7. such as the implementation method of claim 1 to 6 any one of them IP-based live streaming real-time recommendation scheme, feature exists In：The programme for next period that the intelligent recommendation provides is to be arranged according to matching degree descending.