{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T04:20:15Z","timestamp":1727756415937},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685434","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T00:00:00Z","timestamp":1727222400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,25]]},"abstract":"<jats:p>Food is an important factor when choosing a touristic destination, and culinary images are a fundamental tool in gastronomic marketing. This paper presents an approach to analyse the use of color in food images based on a dataset of more than 22000 recipes coming form a popular recipe website, including images of the final dishes and scores that indicate how well the recipe was valued by users. First, the specific cuisine of each recipe is inferred by using the Llama 3 Large Language Model (LLM). The main color of the dish images is also determined. Finally, statistically significant relationships between scores and cuisine labels is also determined. Our preliminary results show some relevant results for tourist marketing, such as showing the most popular cuisines.<\/jats:p>","DOI":"10.3233\/faia240444","type":"book-chapter","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T09:48:41Z","timestamp":1727689721000},"source":"Crossref","is-referenced-by-count":0,"title":["Towards Explainable Cuisine Prediction for Recipes with Image Color Analysis"],"prefix":"10.3233","author":[{"given":"V.","family":"Casales-Garcia","sequence":"first","affiliation":[{"name":"Universidad de Sevilla, Dpto. de Econom\u00eda Aplicada I, Avda. Ram\u00f3n y Cajal, 1, Sevilla, E-41018, Spain"}]},{"given":"I.","family":"Sanz","sequence":"additional","affiliation":[{"name":"University Jaume I, Dept. of Computer Science and Engineering, Av. Vicent Sos Baynat s\/n, Castell\u00f3, E-12071, Spain"}]},{"given":"Ll.","family":"Museros","sequence":"additional","affiliation":[{"name":"University Jaume I, Dept. of Computer Science and Engineering, Av. Vicent Sos Baynat s\/n, Castell\u00f3, E-12071, Spain"}]},{"given":"L.","family":"Gonzalez-Abril","sequence":"additional","affiliation":[{"name":"Universidad de Sevilla, Dpto. de Econom\u00eda Aplicada I, Avda. Ram\u00f3n y Cajal, 1, Sevilla, E-41018, Spain"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA240444","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T09:48:42Z","timestamp":1727689722000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA240444"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,25]]},"ISBN":["9781643685434"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia240444","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,25]]}}}