{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:18:09Z","timestamp":1775283489109,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T00:00:00Z","timestamp":1563408000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,18]]},"DOI":"10.1145\/3331184.3331204","type":"proceedings-article","created":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T13:40:26Z","timestamp":1563543626000},"page":"25-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Domain Adaptation for Enterprise Email Search"],"prefix":"10.1145","author":[{"given":"Brandon","family":"Tran","sequence":"first","affiliation":[{"name":"Massachusetts Institute of Technology, Cambridge, MA, USA"}]},{"given":"Maryam","family":"Karimzadehgan","sequence":"additional","affiliation":[{"name":"Google LLC, Mountain View, CA, USA"}]},{"given":"Rama Kumar","family":"Pasumarthi","sequence":"additional","affiliation":[{"name":"Google LLC, Mountain View, CA, USA"}]},{"given":"Michael","family":"Bendersky","sequence":"additional","affiliation":[{"name":"Google LLC, Mountain View, CA, USA"}]},{"given":"Donald","family":"Metzler","sequence":"additional","affiliation":[{"name":"Google LLC, Mountain View, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,7,18]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/3026877.3026899"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052615"},{"key":"e_1_3_2_2_3_1","volume-title":"Towards principled methods for training generative adversarial networks. arXiv preprint arXiv:1701.04862","author":"Arjovsky Martin","year":"2017","unstructured":"Martin Arjovsky and L\u00e9on Bottou. 2017. Towards principled methods for training generative adversarial networks. arXiv preprint arXiv:1701.04862 (2017)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883033"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102363"},{"key":"e_1_3_2_2_6_1","first-page":"23","article-title":"From Ranknet to Lambdarank to Lambdamart: An overview","volume":"11","author":"Burges Christopher J. C.","year":"2010","unstructured":"Christopher J. C. Burges. 2010. From Ranknet to Lambdarank to Lambdamart: An overview. Learning, Vol. 11, 23--581 (2010), 81.","journal-title":"Learning"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273513"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806471"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210141"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080832"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2016.85"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2888422.2888425"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080811"},{"key":"e_1_3_2_2_14_1","volume-title":"Greedy function approximation: a gradient boosting machine. Annals of Statistics","author":"Friedman Jerome H.","year":"2001","unstructured":"Jerome H. Friedman. 2001. Greedy function approximation: a gradient boosting machine. Annals of Statistics (2001), 1189--1232."},{"key":"e_1_3_2_2_15_1","volume-title":"Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495","author":"Ganin Yaroslav","year":"2014","unstructured":"Yaroslav Ganin and Victor Lempitsky. 2014. Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495 (2014)."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_36"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in Neural Information Processing Systems. 2672--2680.","DOI":"10.5555\/2969033.2969125"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"crossref","unstructured":"A. Gretton A. J. Smola J. Huang M. Schmittfull K. M. Borgwardt and B. Sch\u00f6lkopf. 2009. Covariate shift and local learning by distribution matching. MIT Press Cambridge MA USA 131--160.","DOI":"10.7551\/mitpress\/9780262170055.003.0008"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557013"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295327"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983769"},{"key":"e_1_3_2_2_23_1","volume-title":"Modern Information Retrieval","author":"Hawking David","unstructured":"David Hawking. 2010. Enterprise Search. In Modern Information Retrieval, 2nd Edition, Ricardo Baeza-Yates and Berthier Ribeiro-Neto (Eds.). Addison-Wesley, 645--686. http:\/\/david-hawking.net\/pubs\/ModernIR2_Hawking_chapter.pdf","edition":"2"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775067"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080837"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781680833058"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2016.76"},{"key":"e_1_3_2_2_29_1","volume-title":"Nature","volume":"521","author":"LeCun Yann","year":"2015","unstructured":"Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015. Deep Learning. Nature, Vol. 521, 7553 (2015), 436."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","unstructured":"Ming-Yu Liu and Oncel Tuzel. 2016. Coupled generative adversarial networks. In Advances in neural information processing systems. 469--477.","DOI":"10.5555\/3157096.3157149"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209999"},{"key":"e_1_3_2_2_32_1","volume-title":"Jordan","author":"Long Mingsheng","year":"2015","unstructured":"Mingsheng Long, Yue Cao, Jianmin Wang, and Michael I. Jordan. 2015. Learning transferable features with deep adaptation networks. arXiv preprint arXiv:1502.02791 (2015)."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210155"},{"key":"e_1_3_2_2_34_1","volume-title":"Neural Models for Information Retrieval. arXiv preprint arXiv:1805.03403","author":"Mitra Bhaskar","year":"2017","unstructured":"Bhaskar Mitra and Nick Craswell. 2017. Neural Models for Information Retrieval. arXiv preprint arXiv:1805.03403 (2017)."},{"key":"e_1_3_2_2_35_1","volume-title":"Foundations of machine learning","author":"Mohri Mehryar","unstructured":"Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar. 2018. Foundations of machine learning. MIT press."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330677"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","unstructured":"Kevin Roth Aurelien Lucchi Sebastian Nowozin and Thomas Hofmann. 2017. Stabilizing training of generative adversarial networks through regularization. In Advances in Neural Information Processing Systems. 2018--2028.","DOI":"10.5555\/3294771.3294963"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","unstructured":"Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford and Xi Chen. 2016. Improved techniques for training gans. In Advances in Neural Information Processing Systems. 2234--2242.","DOI":"10.5555\/3157096.3157346"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272019"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.463"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"crossref","unstructured":"Eric Tzeng Judy Hoffman Kate Saenko and Trevor Darrell. 2017. Adversarial discriminative domain adaptation. In Computer Vision and Pattern Recognition. 4.","DOI":"10.1109\/CVPR.2017.316"},{"key":"e_1_3_2_2_43_1","volume-title":"Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474","author":"Tzeng Eric","year":"2014","unstructured":"Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell. 2014. Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474 (2014)."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911537"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390306"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052648"}],"event":{"name":"SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Paris France","acronym":"SIGIR '19","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331184.3331204","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3331184.3331204","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T00:43:58Z","timestamp":1768524238000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331184.3331204"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,18]]},"references-count":46,"alternative-id":["10.1145\/3331184.3331204","10.1145\/3331184"],"URL":"https:\/\/doi.org\/10.1145\/3331184.3331204","relation":{},"subject":[],"published":{"date-parts":[[2019,7,18]]},"assertion":[{"value":"2019-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}