{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:24:22Z","timestamp":1742916262415,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319306704"},{"type":"electronic","value":"9783319306711"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-30671-1_12","type":"book-chapter","created":{"date-parts":[[2016,3,9]],"date-time":"2016-03-09T11:39:50Z","timestamp":1457523590000},"page":"159-170","source":"Crossref","is-referenced-by-count":3,"title":["Efficient AUC Optimization for Information Ranking Applications"],"prefix":"10.1007","author":[{"given":"Sean J.","family":"Welleck","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., Hullender, G.: Learning to rank using gradient descent. In: Proceedings of the 22Nd International Conference on Machine Learning ICML 2005, pp. 89\u201396. ACM, New York (2005)","DOI":"10.1145\/1102351.1102363"},{"key":"12_CR2","first-page":"23","volume":"11","author":"CJ Burges","year":"2010","unstructured":"Burges, C.J.: From ranknet to lambdarank to lambdamart: An overview. Learning 11, 23\u2013581 (2010)","journal-title":"Learning"},{"key":"12_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1007\/978-3-540-74976-9_8","volume-title":"Knowledge Discovery in Databases: PKDD 2007","author":"T Calders","year":"2007","unstructured":"Calders, T., Jaroszewicz, S.: Efficient AUC optimization for classification. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladeni\u010d, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 42\u201353. Springer, Heidelberg (2007)"},{"key":"12_CR4","unstructured":"Chapelle, O., Chang, Y.: Yahoo! learning to rank challenge overview (2011)"},{"issue":"16","key":"12_CR5","first-page":"313","volume":"16","author":"C Cortes","year":"2004","unstructured":"Cortes, C., Mohri, M.: AUC optimization vs. error rate minimization. Adv. Neural Inf. Process. Syst. 16(16), 313\u2013320 (2004)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"12_CR6","unstructured":"Donmez, P., Svore, K., Burges, C.J.: On the optimality of lambdarank. Technical Report MSR-TR-2008-179, Microsoft Research, November 2008. \n                      http:\/\/research.microsoft.com\/apps\/pubs\/default.aspx?id=76530"},{"issue":"8","key":"12_CR7","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","volume":"27","author":"T Fawcett","year":"2006","unstructured":"Fawcett, T.: An introduction to ROC analysis. Pattern Recogn. Lett. 27(8), 861\u2013874 (2006)","journal-title":"Pattern Recogn. Lett."},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Ganjisaffar, Y., Caruana, R., Lopes, C.V.: Bagging gradient-boosted trees for high precision, low variance ranking models. In: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, pp. 85\u201394. ACM (2011)","DOI":"10.1145\/2009916.2009932"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Joachims, T.: A support vector method for multivariate performance measures. In: Proceedings of the 22Nd International Conference on Machine Learning, pp. 377\u2013384. ACM, New York (2005)","DOI":"10.1145\/1102351.1102399"},{"key":"12_CR10","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to Information Retrieval","author":"C Manning","year":"2008","unstructured":"Manning, C., Raghavan, P., Sch\u00fctze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)"},{"key":"12_CR11","unstructured":"Microsoft learning to rank datasets. \n                      http:\/\/research.microsoft.com\/en-us\/projects\/mslr\/"},{"key":"12_CR12","unstructured":"Qin, T., Liu, T.: Introducing LETOR 4.0 datasets. CoRR abs\/1306.2597 (2013). \n                      http:\/\/arxiv.org\/abs\/1306.2597"},{"issue":"4","key":"12_CR13","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1007\/s10791-009-9123-y","volume":"13","author":"T Qin","year":"2010","unstructured":"Qin, T., Liu, T.Y., Xu, J., Li, H.: Letor: A benchmark collection for researchon learning to rank for information retrieval. Inf. Retr. 13(4), 346\u2013374 (2010). \n                      http:\/\/dx.doi.org\/10.1007\/s10791-009-9123-y","journal-title":"Inf. Retr."},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Svore, K.M., Volkovs, M.N., Burges, C.J.: Learning to rank with multiple objective functions. In: Proceedings of the 20th International Conference on World Wide Web, pp. 367\u2013376. ACM (2011)","DOI":"10.1145\/1963405.1963459"},{"issue":"3","key":"12_CR15","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1007\/s10791-009-9112-1","volume":"13","author":"Q Wu","year":"2010","unstructured":"Wu, Q., Burges, C.J., Svore, K.M., Gao, J.: Adapting boosting for information retrieval measures. Inf. Retrieval 13(3), 254\u2013270 (2010)","journal-title":"Inf. Retrieval"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-30671-1_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T00:26:53Z","timestamp":1558312013000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-30671-1_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319306704","9783319306711"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-30671-1_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}