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Program recommending method and streaming media program system

A program recommendation and program technology, applied to two-way working systems, TV system components, TVs, etc., can solve problems such as low precision, lack of intelligence, and broadcast behavior modeling, and achieve the effect of improving accuracy

Active Publication Date: 2010-10-13
ZTE CORP
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AI Technical Summary

Problems solved by technology

The existing recommendation methods can be roughly divided into two types: one is to generate popularity based on the number of times the program is played, and to make a ranking list. intelligence
Its limitations are: it does not model the user's playback behavior, lacks effective processing of user preferences, and the accuracy of recommendation is not high

Method used

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  • Program recommending method and streaming media program system
  • Program recommending method and streaming media program system
  • Program recommending method and streaming media program system

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Embodiment Construction

[0022] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] The core idea of ​​the present invention is to establish a mathematical model based on the user's program playing behavior, design a program intelligent recommendation system, identify the user's preferences by analyzing the user's playback history and program characteristics, recommend satisfactory programs to the user, and improve the accuracy of recommendation , Has better intelligence.

[0024] (1) Add the program attribute setting in the upload step of the operator management platform (please explain the specific attributes of the program). Assuming that the program is m, a piece of program storage information is Gm=(Attribute 1, Attribute2, Attribue3,...), where Attribute is the weight value of the corresponding attribute, and the syste...

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Abstract

The invention discloses a program recommending method and a streaming media program system, wherein the method comprises the following steps that: the attribute weight of a program is generated according to the program playing behaviors of a user; and the program is recommended to the user according to the attribute weight of the program. The streaming media business system comprises a business management platform and a database, the business management platform comprises a user playing behavior analysis module, the user playing behavior analysis module is connected with the database, generates the attribute weight of the program according to the program playing behavior of the user, and recommends the program to the user according to the attribute weight of the program. Compared with the prior art, the invention calculates the preference of the user to programs by analyzing the program playing behaviors of the user according to the program attribute, recommends programs to the user and improves the recommendation precision.

Description

Technical field [0001] The invention belongs to the technical field of streaming media services, and specifically relates to a program recommendation method and a streaming media program system. Background technique [0002] At present, most audio and video service systems have relatively simple methods for content recommendation, and there is no personalized recommendation based on user tastes. For example, simple recommendations in IPTV and mobile streaming media systems. The existing recommendation methods can be roughly divided into two types: one is to generate popularity based on the number of times the program is played, and a ranking list is made. Its limitation is: the consideration is single, and the automatic increment mode is often used. Intelligence. The other is to use the method of subjective judgment of the program based on the program provider, which mainly relies on the novelty of the program and the analysis of the historical evaluation of the program by the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/445H04N7/173
Inventor 陈军峰孔韬李亮贾真真
Owner ZTE CORP
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