{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-big-data-approach-to-computational","title":"A Big Data Approach to Computational Creativity","arxiv_id":"1311.1213","date":"2013-11-05","proceeding":null,"authors":["Lav R. Varshney","Florian Pinel","Kush R. Varshney","Debarun Bhattacharjya","Angela Schoergendorfer","Yi-Min Chee"],"abstract":"Computational creativity is an emerging branch of artificial intelligence\nthat places computers in the center of the creative process. Broadly,\ncreativity involves a generative step to produce many ideas and a selective\nstep to determine the ones that are the best. Many previous attempts at\ncomputational creativity, however, have not been able to achieve a valid\nselective step. This work shows how bringing data sources from the creative\ndomain and from hedonic psychophysics together with big data analytics\ntechniques can overcome this shortcoming to yield a system that can produce\nnovel and high-quality creative artifacts. Our data-driven approach is\ndemonstrated through a computational creativity system for culinary recipes and\nmenus we developed and deployed, which can operate either autonomously or\nsemi-autonomously with human interaction. We also comment on the volume,\nvelocity, variety, and veracity of data in computational creativity.","url_abs":"http://arxiv.org/abs/1311.1213v1","url_pdf":"http://arxiv.org/pdf/1311.1213v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-big-data-approach-to-computational","repo_url":"https://github.com/cstorm125/food","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"valid"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}