Relevant TV program retrieval using broadcast summaries

  • Authors:
  • Jun Goto;Hideki Sumiyoshi;Masaru Miyazaki;Hideki Tanaka;Masahiro Shibata;Akiko Aizawa

  • Affiliations:
  • NHK Science and Technology Research Laboratories, Tokyo, Japan;NHK Science and Technology Research Laboratories, Tokyo, Japan;NHK Science and Technology Research Laboratories, Tokyo, Japan;NHK Science and Technology Research Laboratories, Tokyo, Japan;NHK Science and Technology Research Laboratories, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan

  • Venue:
  • Proceedings of the 15th international conference on Intelligent user interfaces
  • Year:
  • 2010

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Abstract

On-demand services for TV program, which provide users with past programs on demand, are becoming popular. It is therefore necessary to find a means of efficiently searching for programs that users want to view, from huge program archives. This paper proposes an automatic method of retrieving programs related to the one being viewed by the user. To that end, we compute similarity between program summaries and closed captions obtained from broadcasting by weighting significant words such as compound words and named entities. Additionally our method provides inter-program relationship labels to indicate why the results of relevant programs were chosen. The results of an evaluation showed that the method recommended relevant programs with higher accuracy than baseline methods and indicated appropriate relationship labels for related programs.