A program recommendation method

A program recommendation and program technology, applied in image communication, selective content distribution, electrical components, etc., can solve the problems of users being bored with programs, low recommendation accuracy, and inability to achieve program recommendation, and achieve precise marketing and marketing. Effect

Active Publication Date: 2017-01-11
NANJING UNIV OF INFORMATION SCI & TECH
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  • Claims
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Problems solved by technology

However, the recommendation accuracy of the above program recommendation methods is not high in the actual recommendation process, which may cause users to be bored with the program and fail to achieve the real purpose of program recommendation

Method used

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  • A program recommendation method

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Embodiment Construction

[0019] The specific embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings of the specification.

[0020] Such as figure 1 As shown, the program recommendation method designed by the present invention includes the following steps in the actual application process:

[0021] Step 01. Classify TV programs according to program types, which can be divided into news programs, financial programs, sports programs, cultural entertainment programs, life programs, talk programs, military programs, educational programs, and technology programs. Programs, children's programs, elderly programs, advertising programs;

[0022] Step 02. Collect the current viewing information of each user at a preset time interval of 10 minutes through the TV set-top box, and record it as {user ID, current time, viewing channel, program type, cumulative viewing time of current type of program}, as the viewing time of each user Historical records;...

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Abstract

The invention relates to a program recommendation method. The program recommendation method comprises the following steps that firstly, television programs are classified according to the types of the programs; current watching information of each user is collected at preset intervals and is used as a watching historical record of the corresponding user; accurate personalized recommendation is achieved through the social relation correlation based on the users and the content matching technology based on the historical records. By the adoption of the program recommendation method, the defects of the mode that recommendation is conducted through simple statistics of the program click rate completely based on individual interest and habit of watching the television programs are overcome, a television program provider can more accurately lock clients and improve the audience rating, and therefore accurate marketing can be achieved.

Description

Technical field [0001] The invention relates to a program recommendation method. Background technique [0002] As TV programs are becoming more and more abundant, TV users are facing the problem of confusion among many TV programs. Helping users to watch interesting programs in time has become the primary task of the program recommendation system. The popularity of digital TV and the widespread use of set-top boxes have made it possible for a program recommendation system that integrates user viewing behavior data collection, user viewing feature analysis, program recommendation, and program viewing rate analysis. Early program recommendation systems mainly used program characteristics and user characteristics to adopt a recommendation mechanism based on content similarity matching or a recommendation mechanism based on cooperative filtering. Because the program features need to be analyzed and processed manually, some researchers directly analyze the features based on the descr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/462H04N21/466
Inventor 马廷淮王耀曹杰钟水明
Owner NANJING UNIV OF INFORMATION SCI & TECH
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