Personalized digests of sports programs using intuitive retrieval and semantic analysis

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Abstract

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 TV-receiving 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.

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APA

Hashimoto, T., Shirota, Y., Iizawa, A., & Kunii, H. S. (2000). Personalized digests of sports programs using intuitive retrieval and semantic analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1920, pp. 584–585). Springer Verlag. https://doi.org/10.1007/3-540-45393-8_48

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