{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:51:01Z","timestamp":1743069061771,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642411359"},{"type":"electronic","value":"9783642411366"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-41136-6_22","type":"book-chapter","created":{"date-parts":[[2013,12,11]],"date-time":"2013-12-11T09:16:27Z","timestamp":1386753387000},"page":"261-271","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Learning of Sparse Ranking Functions"],"prefix":"10.1007","author":[{"given":"Mark","family":"Stevens","sequence":"first","affiliation":[]},{"given":"Samy","family":"Bengio","sequence":"additional","affiliation":[]},{"given":"Yoram","family":"Singer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,10,9]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Cao, Z., Qin, T., Liu, T.Y., Tsai, M.F., Li, H.: Learning to rank: from pairwise approach to listwise approach. In: ICML \u201907: Proceedings of the 24th International Conference on Machine Learning, Corvalis, pp.\u00a0129\u2013136 (2007)","key":"22_CR1","DOI":"10.1145\/1273496.1273513"},{"key":"22_CR2","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1613\/jair.587","volume":"10","author":"W.W. Cohen","year":"1999","unstructured":"Cohen, W.W., Schapire, R.E., Singer, Y.: Learning to order things. J. Artif. Intell. Res. 10, 243\u2013270 (1999)","journal-title":"J. Artif. Intell. Res."},{"unstructured":"Dekel, O., Manning, C., Singer, Y.: Log-Linear Models for Label Ranking. Advances in Neural Information Processing Systems, vol.\u00a014, Vancouver. MIT Press, Cambridge (2004)","key":"22_CR3"},{"key":"22_CR4","first-page":"933","volume":"4","author":"Y. Freund","year":"2003","unstructured":"Freund, Y., Iyer, R., Schapire, R.E., Singer, Y.: An efficient boosting algorithm for combining preferences. J. Mach. Learn. Res. 4, 933\u2013969 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"8","key":"22_CR5","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1109\/TPAMI.2007.70791","volume":"30","author":"D. Grangier","year":"2008","unstructured":"Grangier, D., Bengio, S.: A discriminative kernel-based model to rank images from text queries. IEEE Trans. Pattern Anal. Mach. Intell. 30(8), 1371\u20131384 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"Joachims, T.: Optimizing search engines using clickthrough data. In: Proceedings of the ACM Conference on Knowledge Discovery and Data Mining (KDD), Edmonton (2002)","key":"22_CR6","DOI":"10.1145\/775047.775067"},{"doi-asserted-by":"crossref","unstructured":"Joachims, T.: A support vector method for multivariate performance measures. In: Proceedings of the International Conference on Machine Learning (ICML), Bonn (2005)","key":"22_CR7","DOI":"10.1145\/1102351.1102399"},{"issue":"1","key":"22_CR8","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/BF00939948","volume":"72","author":"Z. Luo1","year":"1992","unstructured":"Luo1, Z., Tseng, P.: On the convergence of the coordinate descent method for convex differentiable minimization. J. Optim. Theory Appl. 72(1), 7\u201335 (1992)","journal-title":"J. Optim. Theory Appl."},{"unstructured":"Roweis, S.T., Salakhutdinov, R.: Adaptive overrelaxed bound optimization methods. In: Proceedings of the International Conference on Machine Learning (ICML), Washington, DC, pp. 664\u2013671 (2003)","key":"22_CR9"},{"key":"22_CR10","volume-title":"Automatic Text Processing: The Transformation","author":"G. Salton","year":"1989","unstructured":"Salton, G.: Automatic Text Processing: The Transformation, Analysis and Retrieval of Information by Computer. Addison-Wesley, Boston (1989)"},{"doi-asserted-by":"crossref","unstructured":"Singhal, A., Buckley, C., Mitra, M.: Pivoted document length normalization. In: Research and Development in Information Retrieval, Zurich, pp. 21\u201329 (1996)","key":"22_CR11","DOI":"10.1145\/243199.243206"},{"key":"22_CR12","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s10107-007-0170-0","volume":"117","author":"P. Tseng","year":"2007","unstructured":"Tseng, P., Yun, S.: A coordinate gradient descent method for nonsmooth separable minimization. Math. Program. B 117, 387\u2013423 (2007)","journal-title":"Math. Program. B"},{"key":"22_CR13","volume-title":"Estimation of Dependences Based on Empirical Data","author":"V.N. Vapnik","year":"1982","unstructured":"Vapnik, V.N.: Estimation of Dependences Based on Empirical Data. Springer, New York (1982)"},{"key":"22_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V.N. Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995)"},{"key":"22_CR15","volume-title":"Statistical Learning Theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical Learning Theory. Wiley, New York (1998)"},{"doi-asserted-by":"crossref","unstructured":"Xu, J., Li, H.: Adarank: a boosting algorithm for information retrieval. In: SIGIR \u201907: Proceedings of the 30th Annual international ACM SIGIR Conference on Research and Development in Information Retrieval, Amsterdam, pp. 391\u2013398 (2007)","key":"22_CR16","DOI":"10.1145\/1277741.1277809"}],"container-title":["Empirical Inference"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-41136-6_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,19]],"date-time":"2023-02-19T22:53:06Z","timestamp":1676847186000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-41136-6_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642411359","9783642411366"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-41136-6_22","relation":{},"subject":[],"published":{"date-parts":[[2013]]},"assertion":[{"value":"9 October 2013","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}