Distributed cloud digital television program recommendation method

A program recommendation and digital TV technology, applied in electrical components, selective content distribution, image communication, etc., can solve problems such as large program errors, little practical value, and unfavorable implementation, to ensure simplicity and good promotion and use value. Effect

Inactive Publication Date: 2013-05-22
INSPUR QILU SOFTWARE IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Most of the current TV program recommendation systems are based on the analysis and statistics of individual user behavior. If this kind of implementation requires high precision, the system algorithm will be extremely complicated, which is not conducive to implementation.
However, the simple algorithm often recommends programs with large errors and has little practical value.

Method used

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  • Distributed cloud digital television program recommendation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0044] Suppose there are 500,000 digital set-top box users in a province, most of which have network connections. The provincial cable radio station has 100 channels, and each channel has an average of 20 programs.

[0045] When a user is watching a TV program, the set-top box will collect statistics. For example, he is watching a set in Dongguan, Transport_stream_id is 1, Service_id is 1, and program_num is 1. If the set-top box sends collection information every 5 minutes, and the set-top box counts that the user has watched the program for 15 minutes, the set-top box sends the following collection The data is sent to the server, and the weight is calculated according to a certain algorithm. The exponential increment algorithm is used here.

[0046] transport_stream_id service_id Program_num Start_time End_time Weights 111 13:05:00 14:454

[0047] After the server receives this message, it will look for items matching tsid, serviceid, and program_num in the program table, a...

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Abstract

The invention provides a distributed cloud digital television program recommendation method which includes a client system and a cloud system. The client system comprises a plurality of set-top boxes capable of receiving signals, and the cloud system comprises a cloud server capable of processing data. The specific recommendation process includes the steps: recommending programs according to audience rating; transmitting watched program information data to the cloud server by each set-top box; processing the data by the cloud server; and requesting statistical results by a client to recommend the programs. The set-top boxes support network functions. Compared with the prior art, the distributed cloud digital television program recommendation method has the advantages that simplicity, practicability and feasibility of the systems are furthest ensured, and accordingly, excellent popularization and use values are achieved.

Description

[0001] Technical field [0002] The present invention relates to the technical field of digital television, in particular to a distributed cloud digital television program recommendation method that can ensure the simplicity, practicability and implementability of the system. Background technique [0003] Digital TV technology has developed vigorously. At present, dozens or even hundreds of TV programs are generally provided in various places, and it is difficult for TV viewers to choose excellent programs from them. The present invention provides a recommendation scheme based on distributed ratings, so that users can quickly find excellent programs. [0004] The network function of the set-top box has almost become a standard configuration, which also makes distributed statistics of user data possible. The problem that the Cable line cannot upload data is perfectly solved by the network. Of course, users can also receive broadcast recommendation data through the cable when they a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/258H04N21/454H04N21/472
Inventor 刘小卫周元元苏勇
Owner INSPUR QILU SOFTWARE IND
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