Delayering Tagging of Television Programs and Association Rule Mining

This paper proposes a study of Delay ring Tagging of Television Programs to overcome the disadvantages of treelike and singly structured classification systems of television programs. For those structured classification systems, it is incapable to meet the increasing need of in-depth research, analysis of personalized recommendation and advertising targeted delivery. This paper proposes three methods to implement multidimensional television programs tagging, including Regular Expression Matching, Website Interface connection and Web crawler. Association rule learning is used to explore the relations among program tags. According to our experiments, multiple combinations of television program tags are obtained. The result shows that Delay ring Tagging of Television Programs has a significant advantage for multidimensional data mining compared with traditional classification systems.