{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:12:00Z","timestamp":1757617920490,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":7,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"DOI":"10.1145\/3705328.3759339","type":"proceedings-article","created":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T10:48:44Z","timestamp":1757155724000},"page":"1334-1336","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Flights Pricelock Fee Recommendation on Online Travel Agent Platform"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0569-0894","authenticated-orcid":false,"given":"Akash","family":"Khetan","sequence":"first","affiliation":[{"name":"MakeMyTrip pvt ltd, Bangalore, Karnataka, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5008-5825","authenticated-orcid":false,"given":"Narasimha","family":"Medeme","sequence":"additional","affiliation":[{"name":"MakeMyTrip pvt Ltd, Bangalore, Karnataka, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5338-4393","authenticated-orcid":false,"given":"Deepak","family":"Yadav","sequence":"additional","affiliation":[{"name":"MakeMyTrip pvt Ltd, Gurgaon, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3931-8684","authenticated-orcid":false,"given":"Anmol","family":"Porwal","sequence":"additional","affiliation":[{"name":"MakeMyTrip pvt Ltd, Bangalore, karnataka, India"}]}],"member":"320","published-online":{"date-parts":[[2025,9,7]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-2026"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Wenzhi Cao Vahid Mirjalili and Sebastian Raschka. 2020. Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation. Pattern Recognition Letters 140 24 (Nov 2020) 325\u2013331.","DOI":"10.1016\/j.patrec.2020.11.008"},{"key":"e_1_3_3_1_4_2","first-page":"4604","volume-title":"Proceedings of the 29th International Conference on Computational Linguistics","author":"Castagnos Francois","year":"2022","unstructured":"Francois Castagnos, Martin Mihelich, and Charles Dognin. 2022. A Simple Log-Based Loss Function for Ordinal Text Classification. In Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 4604\u20134609."},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00487"},{"key":"e_1_3_3_1_6_2","volume-title":"Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS 2017)","author":"Hou Le","year":"2017","unstructured":"Le Hou, Chen-Ping Yu, and Dimitris Samaras. 2017. Squared Earth Movers Distance-Based Loss for Training Deep Neural Networks. In Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS 2017). Long Beach, CA, USA."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Asif\u00a0Iqbal Middya Baibhav Nag and Sarbani Roy. 2022. Deep Learning Based Multimodal Emotion Recognition Using Model-Level Fusion of Audio-Visual Modalities. Knowledge-Based Systems (May 2022).","DOI":"10.1016\/j.knosys.2022.108580"},{"key":"e_1_3_3_1_8_2","first-page":"94","volume-title":"Proceedings of the European Conference on Computer Vision","author":"Zhang Zhanpeng","year":"2019","unstructured":"Zhanpeng Zhang, Ping Luo, Chen\u00a0Change Loy, and Xiaoou Tang. 2019. Facial Landmark Detection by Deep Multi-task Learning. In Proceedings of the European Conference on Computer Vision. Springer International Publishing, Cham, 94\u2013108."}],"event":{"name":"RecSys '25: Nineteenth ACM Conference on Recommender Systems","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGIR ACM Special Interest Group on Information Retrieval","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Prague Czech Republic","acronym":"RecSys '25"},"container-title":["Proceedings of the Nineteenth ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3705328.3759339","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T11:49:26Z","timestamp":1757159366000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3705328.3759339"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,7]]},"references-count":7,"alternative-id":["10.1145\/3705328.3759339","10.1145\/3705328"],"URL":"https:\/\/doi.org\/10.1145\/3705328.3759339","relation":{},"subject":[],"published":{"date-parts":[[2025,9,7]]},"assertion":[{"value":"2025-09-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}