Title :
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
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;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.80
