TV navigation agent for measuring semantic similarity between programs
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
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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.