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arXiv · 1311.1213

A Big Data Approach to Computational Creativity

Lav R. Varshney·Florian Pinel·Kush R. Varshney·Debarun Bhattacharjya·Angela Schoergendorfer·Yi-Min Chee
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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.

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Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schoergendorfer, Yi-Min Chee. 2013-11-05. A Big Data Approach to Computational Creativity. https://arxiv.org/abs/1311.1213

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