[4D1-OS-33a] OS-33

[4D1-OS-33a-05] Examples of Using AI with domain knowledge to “Inspire Impossible Stories” at a Traditional Japanese Publisher

〇Naoki SASAKI¹, Kazuaki HANAWA¹, Takaki Otake¹, Norihito Iyenaga¹ (1. KODANSHA LTD. IT Strategy Planning Division)

Keywords:Demand forecasting, Recommendation system, NLP

Japanese traditional publishers hadle a wide variety of content, including not only printed books, magazines, and comics, but also their electronic versions, digital media, and related merchandise. Traditionally, the production, sales, and distribution of these contents have relied heavily on past performance and experience of the people involved. The integration of AI has significant potential to realize more efficient and effective content creation, sales, and distribution processes. This combination of traditional expertise and cutting-edge technology could revolutionize the publishing industry, providing new opportunities to optimize operations and better meet the diverse needs of consumers.
In this paper, we introduce 3 examples which have expanded work at Japanese traditional publishing house with AI: “demand forecasting for a first volume of a digital comic using data from a comic app”, “pv forecasting for an article at a web media from its title”, and “books recommendation from a web media's article contents”. Editors and sales staff use these AI-based systems for daily work and give us positive feedback.