{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T07:56:32Z","timestamp":1778313392371,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403223","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:03:55Z","timestamp":1597964635000},"page":"1719-1727","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":25,"title":["RECIPTOR: An Effective Pretrained Model for Recipe Representation Learning"],"prefix":"10.1145","author":[{"given":"Diya","family":"Li","sequence":"first","affiliation":[{"name":"Rensselaer Polytechnic Institute, Troy, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed J.","family":"Zaki","sequence":"additional","affiliation":[{"name":"Rensselaer Polytechnic Institute, Troy, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep00196"},{"key":"e_1_3_2_2_2_1","volume-title":"A survey of word embeddings evaluation methods. arXiv preprint arXiv:1801.09536","author":"Bakarov Amir","year":"2018","unstructured":"Amir Bakarov . 2018. A survey of word embeddings evaluation methods. arXiv preprint arXiv:1801.09536 ( 2018 ). Amir Bakarov. 2018. A survey of word embeddings evaluation methods. arXiv preprint arXiv:1801.09536 (2018)."},{"key":"e_1_3_2_2_3_1","first-page":"30","article-title":"Ontology construction: cooking domain","volume":"41","author":"Batista Fernando","year":"2006","unstructured":"Fernando Batista , Joana Paulo Pardal , Paula Vaz Nuno Mamede , and Ricardo Ribeiro . 2006 . Ontology construction: cooking domain . Artificial Intelligence: Methodology, Systems, and Applications , Vol. 41 , 1 (2006), 30 . Fernando Batista, Joana Paulo Pardal, Paula Vaz Nuno Mamede, and Ricardo Ribeiro. 2006. Ontology construction: cooking domain. Artificial Intelligence: Methodology, Systems, and Applications, Vol. 41, 1 (2006), 30.","journal-title":"Artificial Intelligence: Methodology, Systems, and Applications"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210036"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/1756006.1756042"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240627"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639346"},{"key":"e_1_3_2_2_8_1","volume-title":"Fiona SL Brinkman, and William WL Hsiao","author":"Dooley Damion M","year":"2018","unstructured":"Damion M Dooley , Emma J Griffiths , Gurinder S Gosal , Pier L Buttigieg , Robert Hoehndorf , Matthew C Lange , Lynn M Schriml , Fiona SL Brinkman, and William WL Hsiao . 2018 . FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration. npj Science of Food , Vol. 2 , 1 (2018), 1--10. Damion M Dooley, Emma J Griffiths, Gurinder S Gosal, Pier L Buttigieg, Robert Hoehndorf, Matthew C Lange, Lynn M Schriml, Fiona SL Brinkman, and William WL Hsiao. 2018. FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration. npj Science of Food, Vol. 2, 1 (2018), 1--10."},{"key":"e_1_3_2_2_9_1","volume-title":"5th Int'l Workshop on Multimedia Assisted Dietary Management.","author":"Fontanellaz Matthias","unstructured":"Matthias Fontanellaz , Stergios Christodoulidis , and Stavroula Mougiakakou . 2019. Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries . In 5th Int'l Workshop on Multimedia Assisted Dietary Management. Matthias Fontanellaz, Stergios Christodoulidis, and Stavroula Mougiakakou. 2019. Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. In 5th Int'l Workshop on Multimedia Assisted Dietary Management."},{"key":"e_1_3_2_2_10_1","volume-title":"FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. In International Semantic Web Conference. Springer, 146--162","author":"Haussmann Steven","year":"2019","unstructured":"Steven Haussmann , Oshani Seneviratne , Yu Chen , Yarden Ne'eman , James Codella , Ching-Hua Chen , Deborah L McGuinness , and Mohammed J Zaki . 2019 . FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. In International Semantic Web Conference. Springer, 146--162 . Steven Haussmann, Oshani Seneviratne, Yu Chen, Yarden Ne'eman, James Codella, Ching-Hua Chen, Deborah L McGuinness, and Mohammed J Zaki. 2019. FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. In International Semantic Web Conference. Springer, 146--162."},{"key":"e_1_3_2_2_11_1","volume-title":"Food recognition and recipe analysis: integrating visual content, context and external knowledge. arXiv preprint arXiv:1801.07239","author":"Herranz Luis","year":"2018","unstructured":"Luis Herranz , Weiqing Min , and Shuqiang Jiang . 2018. Food recognition and recipe analysis: integrating visual content, context and external knowledge. arXiv preprint arXiv:1801.07239 ( 2018 ). Luis Herranz, Weiqing Min, and Shuqiang Jiang. 2018. Food recognition and recipe analysis: integrating visual content, context and external knowledge. arXiv preprint arXiv:1801.07239 (2018)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654869"},{"key":"e_1_3_2_2_13_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_14_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling . 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 ( 2016 ). Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_2_15_1","volume-title":"Set transformer: A framework for attention-based permutation-invariant neural networks. arXiv preprint arXiv:1810.00825","author":"Lee Juho","year":"2018","unstructured":"Juho Lee , Yoonho Lee , Jungtaek Kim , Adam R Kosiorek , Seungjin Choi , and Yee Whye Teh . 2018. Set transformer: A framework for attention-based permutation-invariant neural networks. arXiv preprint arXiv:1810.00825 ( 2018 ). Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R Kosiorek, Seungjin Choi, and Yee Whye Teh. 2018. Set transformer: A framework for attention-based permutation-invariant neural networks. arXiv preprint arXiv:1810.00825 (2018)."},{"key":"e_1_3_2_2_16_1","volume-title":"Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101","author":"Loshchilov Ilya","year":"2017","unstructured":"Ilya Loshchilov and Frank Hutter . 2017. Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 ( 2017 ). Ilya Loshchilov and Frank Hutter. 2017. Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 (2017)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2927476"},{"key":"e_1_3_2_2_18_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119.  Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2759499"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3329168"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2639382"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123272"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.3389\/fict.2017.00015"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2758862"},{"key":"e_1_3_2_2_25_1","volume-title":"AAAI Conference on Web and Social Media.","author":"Rokicki Markus","year":"2018","unstructured":"Markus Rokicki , Christoph Trattner , and Eelco Herder . 2018 . The impact of recipe features, social cues and demographics on estimating the healthiness of online recipes . In AAAI Conference on Web and Social Media. Markus Rokicki, Christoph Trattner, and Eelco Herder. 2018. The impact of recipe features, social cues and demographics on estimating the healthiness of online recipes. In AAAI Conference on Web and Social Media."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3055137"},{"key":"e_1_3_2_2_27_1","volume-title":"Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In IEEE CVPR Conference.","author":"Salvador Amaia","year":"2017","unstructured":"Amaia Salvador , Nicholas Hynes , Yusuf Aytar , Javier Marin , Ferda Ofli , Ingmar Weber , and Antonio Torralba . 2017 . Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In IEEE CVPR Conference. Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marin, Ferda Ofli, Ingmar Weber, and Antonio Torralba. 2017. Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In IEEE CVPR Conference."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1036"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2380718.2380757"},{"key":"e_1_3_2_2_31_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NIPS.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NIPS."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01184"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.180"},{"key":"e_1_3_2_2_34_1","volume-title":"RecipeQA: A challenge dataset for multimodal comprehension of cooking recipes. arXiv preprint arXiv:1809.00812","author":"Yagcioglu Semih","year":"2018","unstructured":"Semih Yagcioglu , Aykut Erdem , Erkut Erdem , and Nazli Ikizler-Cinbis . 2018. RecipeQA: A challenge dataset for multimodal comprehension of cooking recipes. arXiv preprint arXiv:1809.00812 ( 2018 ). Semih Yagcioglu, Aykut Erdem, Erkut Erdem, and Nazli Ikizler-Cinbis. 2018. RecipeQA: A challenge dataset for multimodal comprehension of cooking recipes. arXiv preprint arXiv:1809.00812 (2018)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072614"},{"key":"e_1_3_2_2_36_1","unstructured":"Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabas Poczos Russ R Salakhutdinov and Alexander J Smola. 2017. Deep sets. In NIPS.  Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabas Poczos Russ R Salakhutdinov and Alexander J Smola. 2017. Deep sets. In NIPS."}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event CA USA","acronym":"KDD '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403223","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403223","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:46Z","timestamp":1750197706000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403223"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":36,"alternative-id":["10.1145\/3394486.3403223","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403223","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}