Personalized Digests of Sports Programs Using Intuitive Retrieval and Semantic Analysis
Recently, digital broadcasting has experienced rapid growth. Digital broadcasting can deliver additional data as program attachments, which viewers can use to flexibly browse and retrieve parts of the program on their TVreceiving terminals. They can also make personalized digests from the broadcast TV programs. This function is particularly useful for viewers of sports programs because the digests reflect varied viewer preferences, such as favorite teams and players. This paper presents a method for making personalized digests for sports programs using additional data attachments.