The Research of TV Program Category Preference Based on TagPageRank Algorithm

摘要

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.