The Research of TV Program Category Preference Based on TagPageRank Algorithm

Author

Xin Wang ; Fu Lian Yin ; Jian Ping Chai ; Bei Bei Zhang

Author_Institution

Inf. Eng. Sch., Commun. Univ. of China, Beijing, China

Volume

2

fYear

2014

Firstpage

319

Lastpage

323

Abstract

Aiming to solve the problem of information overload caused by rich resources of TV programs, This paper put forward attraction index of TV programs and analyze user preference to program category, so as to fully tap the potential information of TV users and provide personalized service. Attraction index of TV programs combines Uses and Gratification Theory and China TV program Tagging System, and come true through Tag PageRank algorithm. The analysis of simulation based on the TV user rating data verify the feasibility of the algorithm.

Keywords

information retrieval; telecommunication computing; television broadcasting; China TV program tagging system; TV program category preference; TV programs attraction index; TV user rating data; TagPageRank algorithm; information overload; personalized service; simulation analysis; television program; user preference; uses and gratification theory; Algorithm design and analysis; Analytical models; Media; Standards; Switches; TV; Tagging; TagPageRank algorithm; Uses and Gratification Theory; attraction index of TV programs; flat tagging system; user preference to program category;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on

Print_ISBN

978-1-4799-7004-9

Type

conf

DOI

10.1109/ISCID.2014.80

Filename

7081997