A research group led by Associate Professor Shinichi Yamagiwa, System Information Systems, University of Tsukuba, collects "preference" for media such as images, videos, and music as big data, and uses artificial intelligence to determine how much media products on the market are preferred. We have developed a predictive technology.It can be used in marketing forecasts for various products.The development is a joint research with Osaka University and BIJIN & Co.
Until now, the definition of preference has been ambiguous, so the research group has developed an artificial intelligence technology that defines preference by collecting big data.With this technology, we first ask many people through the market to judge their preferences regarding existing media based on the two values of "like" and "not", and then create a preference ranking from the statistical data (preference big data).Next, artificial intelligence predicts the possibility of being accepted in the market from the rank of media with high similarity by comparing the products to be put on the market with the media in the data.This makes it possible to define difficult-to-define preferences such as designs and melody from the collected big data, and conduct marketing research in advance without the risk of information leakage related to design rights and copyrights.Furthermore, by using attribute values such as time and region, it is possible to predict changes in the times and preferences that change depending on the region or country.
With this new information and communication technology, various tastes in the market, including the distinction between "selling" and "not selling", such as "the shape of the best-selling car", "the most preferred sound", and "the most disliked insect", are available. It is said that it can be applied to prediction.Currently, as an attempt to define "Bijin", which is difficult to define, the mobile application "Bijin Science Institute" has been released by BIJIN & Co. And experiments will start.