{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T23:59:32Z","timestamp":1776470372675,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":18,"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\/3394486.3403333","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:03:57Z","timestamp":1597964637000},"page":"2822-2830","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":32,"title":["Improving Deep Learning for Airbnb Search"],"prefix":"10.1145","author":[{"given":"Malay","family":"Haldar","sequence":"first","affiliation":[{"name":"Airbnb Inc., San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prashant","family":"Ramanathan","sequence":"additional","affiliation":[{"name":"Airbnb Inc., San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tyler","family":"Sax","sequence":"additional","affiliation":[{"name":"Airbnb Inc., San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mustafa","family":"Abdool","sequence":"additional","affiliation":[{"name":"Airbnb Inc., San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lanbo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Airbnb Inc., San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aamir","family":"Mansawala","sequence":"additional","affiliation":[{"name":"Airbnb Inc., San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shulin","family":"Yang","sequence":"additional","affiliation":[{"name":"Airbnb Inc., San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bradley","family":"Turnbull","sequence":"additional","affiliation":[{"name":"Airbnb Inc., San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junshuo","family":"Liao","sequence":"additional","affiliation":[{"name":"Airbnb Inc., San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291017"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330744"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.2200\/S00654ED1V01Y201507ICR043"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2014.907095"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330658"},{"key":"e_1_3_2_1_7_1","volume-title":"Deep Residual Learning for Image Recognition. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"He Kaiming","year":"2016","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2016 . Deep Residual Learning for Image Recognition. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 32nd International Conference on Machine Learning (Proceedings of Machine Learning Research), Francis Bach and David Blei (Eds.)","volume":"37","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy . 2015 . Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift . In Proceedings of the 32nd International Conference on Machine Learning (Proceedings of Machine Learning Research), Francis Bach and David Blei (Eds.) , Vol. 37 . PMLR, Lille, France, 448--456. http:\/\/proceedings.mlr.press\/v37\/ioffe15.html Sergey Ioffe and Christian Szegedy. 2015. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In Proceedings of the 32nd International Conference on Machine Learning (Proceedings of Machine Learning Research), Francis Bach and David Blei (Eds.), Vol. 37. PMLR, Lille, France, 448--456. http:\/\/proceedings.mlr.press\/v37\/ioffe15.html"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018699"},{"key":"e_1_3_2_1_10_1","volume-title":"Chi, and John Anderson","author":"Krichene Walid","year":"2018","unstructured":"Walid Krichene , Nicolas Mayoraz , Steffen Rendle , Li Zhang , Xinyang Yi , Lichan Hong , Ed Chi, and John Anderson . 2018 . Efficient Training on Very Large Corpora via Gramian Estimation . arxiv: stat.ML\/1807.07187 Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed Chi, and John Anderson. 2018. Efficient Training on Very Large Corpora via Gramian Estimation. arxiv: stat.ML\/1807.07187"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '02)","author":"Schein Andrew I.","unstructured":"Andrew I. Schein , Alexandrin Popescul , Lyle H. Ungar , and David M. Pennock . 2002. Methods and Metrics for Cold-start Recommendations . In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '02) . ACM, New York, NY, USA, 253--260. https:\/\/doi.org\/10.1145\/564376.564421 10.1145\/564376.564421 Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, and David M. Pennock. 2002. Methods and Metrics for Cold-start Recommendations. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '02). ACM, New York, NY, USA, 253--260. https:\/\/doi.org\/10.1145\/564376.564421"},{"key":"e_1_3_2_1_12_1","volume-title":"FaceNet: A Unified Embedding for Face Recognition and Clustering. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Schroff Florian","year":"2015","unstructured":"Florian Schroff , Dmitry Kalenichenko , and James Philbin . 2015 . FaceNet: A Unified Embedding for Face Recognition and Clustering. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015. FaceNet: A Unified Embedding for Face Recognition and Clustering. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_1_14_1","volume-title":"Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. In The IEEE International Conference on Computer Vision (ICCV).","author":"Sun Chen","year":"2017","unstructured":"Chen Sun , Abhinav Shrivastava , Saurabh Singh , and Abhinav Gupta . 2017 . Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. In The IEEE International Conference on Computer Vision (ICCV). Chen Sun, Abhinav Shrivastava, Saurabh Singh, and Abhinav Gupta. 2017. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. In The IEEE International Conference on Computer Vision (ICCV)."},{"key":"e_1_3_2_1_15_1","first-page":"I","article-title":"Attention is All you Need","volume":"30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141 ukasz Kaiser, and Illia Polosukhin . 2017 . Attention is All you Need . In Advances in Neural Information Processing Systems 30 , I . Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 5998--6008. http:\/\/papers.nips.cc\/paper\/7181-attention-is-all-you-need.pdf Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141 ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 5998--6008. http:\/\/papers.nips.cc\/paper\/7181-attention-is-all-you-need.pdf","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_16_1","volume-title":"How to Use t-SNE Effectively. Distill","author":"Wattenberg Martin","year":"2016","unstructured":"Martin Wattenberg , Fernanda Vi\u00e9gas , and Ian Johnson . 2016. How to Use t-SNE Effectively. Distill ( 2016 ). https:\/\/doi.org\/10.23915\/distill.00002 10.23915\/distill.00002 Martin Wattenberg, Fernanda Vi\u00e9gas, and Ian Johnson. 2016. How to Use t-SNE Effectively. Distill (2016). https:\/\/doi.org\/10.23915\/distill.00002"},{"key":"e_1_3_2_1_17_1","unstructured":"Wikipedia. 2019. Control Variable. https:\/\/en.wikipedia.org\/wiki\/Controlling_for_a_variable  Wikipedia. 2019. Control Variable. https:\/\/en.wikipedia.org\/wiki\/Controlling_for_a_variable"},{"key":"e_1_3_2_1_18_1","first-page":"I","article-title":"Deep Lattice Networks and Partial Monotonic Functions","volume":"30","author":"You Seungil","year":"2017","unstructured":"Seungil You , David Ding , Kevin Canini , Jan Pfeifer , and Maya Gupta . 2017 . Deep Lattice Networks and Partial Monotonic Functions . In Advances in Neural Information Processing Systems 30 , I . Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 2981--2989. http:\/\/papers.nips.cc\/paper\/6891-deep-lattice-networks-and-partial-monotonic-functions.pdf Seungil You, David Ding, Kevin Canini, Jan Pfeifer, and Maya Gupta. 2017. Deep Lattice Networks and Partial Monotonic Functions. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 2981--2989. http:\/\/papers.nips.cc\/paper\/6891-deep-lattice-networks-and-partial-monotonic-functions.pdf","journal-title":"Advances in Neural Information Processing Systems"}],"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 &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403333","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403333","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:49Z","timestamp":1750197709000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403333"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":18,"alternative-id":["10.1145\/3394486.3403333","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403333","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"}}]}}