{"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/extracting-food-substitutes-from-food-diary","title":"Extracting Food Substitutes From Food Diary via Distributional Similarity","arxiv_id":"1607.08807","date":"2016-07-29","proceeding":null,"authors":["Achananuparp Palakorn","Weber Ingmar"],"abstract":"In this paper, we explore the problem of identifying substitute relationship\nbetween food pairs from real-world food consumption data as the first step\ntowards the healthier food recommendation. Our method is inspired by the\ndistributional hypothesis in linguistics. Specifically, we assume that foods\nthat are consumed in similar contexts are more likely to be similar dietarily.\nFor example, a turkey sandwich can be considered a suitable substitute for a\nchicken sandwich if both tend to be consumed with french fries and salad. To\nevaluate our method, we constructed a real-world food consumption dataset from\nMyFitnessPal's public food diary entries and obtained ground-truth human\njudgements of food substitutes from a crowdsourcing service. The experiment\nresults suggest the effectiveness of the method in identifying suitable\nsubstitutes.","url_abs":"http://arxiv.org/abs/1607.08807v1","url_pdf":"http://arxiv.org/pdf/1607.08807v1.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":[],"tasks":[{"task_slug":"food-recommendation","task_name":"Food recommendation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/food-recommendation-on-oktoberfest-food","task":"Food recommendation","dataset":"Oktoberfest Food Dataset","model":"Bert","rank_in_archive_order":1,"of":1,"metrics":{"10 fold Cross validation":"90"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}