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Exploring the Effects of Natural Language Justifications in Food Recommender Systems.

, , , , and . UMAP, page 147-157. ACM, (2021)

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Report on the SIGIR 2015 Workshop on Social Personalization and Search., , , and . SIGIR Forum, 49 (2): 102-106 (2015)Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features., , , , and . User Model. User-Adapt. Interact., 29 (2): 251-290 (2019)Recommending tags with a model of human categorization., , , and . CIKM, page 2381-2386. ACM, (2013)Predicting Movie Popularity and Ratings with Visual Features., , , , and . SMAP, page 1-6. IEEE, (2019)TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms., , and . SIGWEB Newsl., 2015 (Winter): 3:1-3:10 (2015)Socializing virtual worlds with Facebook: a prototypical implementation of an expansion pack to communicate between Facebook and OpenSimulator based virtual worlds., , and . MindTrek, page 158-160. ACM, (2010)Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food., , , , , , , , , and 9 other author(s). Frontiers Artif. Intell., (2020)Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists and Tag Trails.. J. Comput. Inf. Technol., 19 (3): 155-167 (2011)Understanding and predicting cross-cultural food preferences with online recipe images., , and . Inf. Process. Manag., 60 (5): 103443 (September 2023)See what you want to see: visual user-driven approach for hybrid recommendation., , and . IUI, page 235-240. ACM, (2014)