非特定テレビ視聴履歴データの放送局間統合手法

Recently, TV broadcasters have been collecting and utilizing non-personal TV viewing log data, including start and end times of viewing, from TVs connected to the Internet in a format that does not identify individual viewers. However, since each broadcaster can only use its own non-personal TV viewing log data, it has not yet been able to obtain useful knowledge despite the vast amount of data it has accumulated. In addition, the collection methods and data granularity of non-personal TV viewing log data vary from station to station, and the data accumulated by each station cannot be integrated and used. In this paper, we propose a method for matching non-specific viewing history data collected by each broadcaster using its own method, and design and implement a simulator to evaluate the proposed method. The proposed method estimates that TVs whose channel transition timing matches five items collected at the time of viewing history data collection (IP address, zip code, manufacturer ID, browser major version, and browser minor version) are the same TVs. In addition, we designed a simulator that reproduces viewer behavior and applied this method to the viewing history data synthesized from the simulator. As a result, we succeeded in matching approximately 2.41 million TVs out of the 2.5 million units of data generated, showing an identification rate of 96.5%.