A Big Data Approach to Computational Creativity

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Authors Florian Pinel, Angela Schoergendorfer, Debarun Bhattacharjya, Kush R. Varshney, Lav R. Varshney, Yi-Min Chee
Journal/Conference Name IBM Journal of Research and Development
Paper Category
Paper Abstract Computational creativity is an emerging branch of artificial intelligence that places computers in the center of the creative process. Broadly, creativity involves a generative step to produce many ideas and a selective step to determine the ones that are the best. Many previous attempts at computational creativity, however, have not been able to achieve a valid selective step. This work shows how bringing data sources from the creative domain and from hedonic psychophysics together with big data analytics techniques can overcome this shortcoming to yield a system that can produce novel and high-quality creative artifacts. Our data-driven approach is demonstrated through a computational creativity system for culinary recipes and menus we developed and deployed, which can operate either autonomously or semi-autonomously with human interaction. We also comment on the volume, velocity, variety, and veracity of data in computational creativity.
Date of publication 2013
Code Programming Language Jupyter Notebook
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