{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:18:28Z","timestamp":1775283508914,"version":"3.50.1"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2009,9,3]],"date-time":"2009-09-03T00:00:00Z","timestamp":1251936000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2009,9,3]],"date-time":"2009-09-03T00:00:00Z","timestamp":1251936000000},"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":["Inf Retrieval"],"published-print":{"date-parts":[[2010,6]]},"DOI":"10.1007\/s10791-009-9112-1","type":"journal-article","created":{"date-parts":[[2009,9,2]],"date-time":"2009-09-02T18:32:12Z","timestamp":1251916332000},"page":"254-270","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":372,"title":["Adapting boosting for information retrieval measures"],"prefix":"10.1007","volume":"13","author":[{"given":"Qiang","family":"Wu","sequence":"first","affiliation":[]},{"given":"Christopher J. C.","family":"Burges","sequence":"additional","affiliation":[]},{"given":"Krysta M.","family":"Svore","sequence":"additional","affiliation":[]},{"given":"Jianfeng","family":"Gao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2009,9,3]]},"reference":[{"key":"9112_CR1","doi-asserted-by":"crossref","unstructured":"Bacchiani, M., Roark, B., & Saraclar, M. (2004). Language model adaptation with MAP estimation and the perceptron algorithm. In HLT-NAACL (pp. 21\u201324).","DOI":"10.3115\/1613984.1613990"},{"key":"9112_CR2","unstructured":"Bellagarda, J. (2001). An overview of statistical language model adaptation. In ITRW on adaptation methods for speech recognition (pp. 165\u2013174)."},{"key":"9112_CR3","unstructured":"Burges, C. (2005). Ranking as learning structured outputs. In C. C. S. Agarwal & R. Herbrich (Eds.), Proceedings of the NIPS workshop on learning to rank."},{"key":"9112_CR4","doi-asserted-by":"crossref","unstructured":"Burges, C., Ragno, R., & Le, Q. (2006). Learning to rank with non-smooth cost functions. In NIPS.","DOI":"10.7551\/mitpress\/7503.003.0029"},{"key":"9112_CR5","doi-asserted-by":"crossref","unstructured":"Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., et al. (2005). Learning to rank using gradient descent. In ICML. Bonn, Germany.","DOI":"10.1145\/1102351.1102363"},{"key":"9112_CR6","doi-asserted-by":"crossref","unstructured":"Cao, Z., Qin, T., Liu, T. Y., Tsai, M. F., & Li, H. (2007). Learning to rank: From pairwise approach to listwise approach. In ICML.","DOI":"10.1145\/1273496.1273513"},{"key":"9112_CR7","doi-asserted-by":"crossref","unstructured":"Chen, K., Lu, R., Wong, C., Sun, G., Heck, L., & Tseng, B. (2008). Trada: Tree based ranking function adaptation. In ACM 17th conference on information and knowledge management.","DOI":"10.1145\/1458082.1458233"},{"key":"9112_CR8","doi-asserted-by":"crossref","unstructured":"Donmez, P., Svore, K., & Burges, C. (2008). On the optimality of LambdaRank. SIGIR.","DOI":"10.1145\/1571941.1572021"},{"key":"9112_CR9","doi-asserted-by":"crossref","unstructured":"Friedman, J. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29(5).","DOI":"10.1214\/aos\/1013203451"},{"key":"9112_CR10","doi-asserted-by":"crossref","unstructured":"Gao, J., Nie, J. Y., Wu, G., & Cao, G. (2004). Dependence language model for information retrieval. In SIGIR, (pp. 170\u2013177).","DOI":"10.1145\/1008992.1009024"},{"key":"9112_CR11","doi-asserted-by":"crossref","unstructured":"Gao, J., Qin, H., Xia, X., & Nie, J. Y. (2005). Linear discriminative model for information retrieval. In SIGIR, (pp. 290\u2013297).","DOI":"10.1145\/1076034.1076085"},{"issue":"3","key":"9112_CR12","first-page":"207","volume":"5","author":"J. Gao","year":"2006","unstructured":"Gao, J., Suzuki, H., & Yuan, W. (2006). An empirical study on language model adaptation. ACM Trans on Asian Language Information Processing, 5(3), 207\u2013227.","journal-title":"ACM Trans on Asian Language Information Processing"},{"key":"9112_CR13","doi-asserted-by":"crossref","unstructured":"Gao, J., Wu, Q., Burges, C., Svore, K., Su, Y., Khan, N., et al. (2009). Model adaptation via model interpolation and boosting for web search ranking. In Conference on Empirical Methods in Natural Language Processing.","DOI":"10.3115\/1699571.1699578"},{"key":"9112_CR14","doi-asserted-by":"crossref","unstructured":"Jarvelin, K., & Kekalainen, J. (2000). IR evaluation methods for retrieving highly relevant documents. In SIGIR 23. ACM.","DOI":"10.1145\/345508.345545"},{"key":"9112_CR15","unstructured":"Jones, K., Walker, S., & Robertson, S. (1998). A probabilistic model of information retrieval: Development and status. Tech. Rep. TR-446, Cambridge University Computer Laboratory."},{"key":"9112_CR16","unstructured":"Le, Q., & Smola, A. J. (2007). Direct optimization of ranking measures. CoRR abs\/0704.3359. Informal publication."},{"key":"9112_CR17","unstructured":"Li, P., Burges, C., & Wu, Q. (2007). Learning to rank using classification and gradient boosting. In NIPS."},{"key":"9112_CR18","unstructured":"Mason, L., Baxter, J., Bartlett, P., & Frean, M. (2000). Boosting algorithms as gradient descent. In T. L. S. A. Solla & K. R. M\u00fcller (Eds.), Advances in neural information processing systems (Vol. 12, pp. 512\u2013518)."},{"issue":"3","key":"9112_CR19","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/s10791-007-9025-9","volume":"10","author":"S. Robertson","year":"2007","unstructured":"Robertson, S., & Zaragoza, H. (2007). On rank-based effectiveness measures and optimization. Information Retrieval, 10(3), 321\u2013339.","journal-title":"Information Retrieval"},{"key":"9112_CR20","doi-asserted-by":"crossref","unstructured":"Song, F., & Croft, B. (1999). A general language model for information retrieval. In CIKM (pp. 316\u2013321).","DOI":"10.1145\/319950.320022"},{"key":"9112_CR21","doi-asserted-by":"crossref","unstructured":"Xu, J., & Li, H. (2007). A boosting algorithm for information retrieval. In SIGIR.","DOI":"10.1145\/1277741.1277809"},{"key":"9112_CR22","unstructured":"Yue, Y., & Burges, C. (2007). On using simultaneous perturbation stochastic approximation for learning to rank, and the empirical optimality of LambdaRank. Tech. Rep. MSR-TR-2007-115, Microsoft research."},{"key":"9112_CR23","doi-asserted-by":"crossref","unstructured":"Yue, Y., Finley, T., Radlinski, F., & Joachims, T. (2007). A support vector method for optimizing average precision. In SIGIR.","DOI":"10.1145\/1277741.1277790"},{"key":"9112_CR24","doi-asserted-by":"crossref","unstructured":"Zhai, C., & Lafferty, J. (2002). Two-stage language models for information retrieval. In SIGIR (pp. 49\u201356).","DOI":"10.1145\/564376.564387"},{"key":"9112_CR25","unstructured":"Zheng, Z., Zha, H., Zhang, T., Chapelle, O., Chen, K., & Sun, G. (2007). A general boosting method and its application to learning ranking functions for web search. In NIPS."}],"container-title":["Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-009-9112-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10791-009-9112-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-009-9112-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-009-9112-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T14:49:37Z","timestamp":1704206977000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10791-009-9112-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,9,3]]},"references-count":25,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2010,6]]}},"alternative-id":["9112"],"URL":"https:\/\/doi.org\/10.1007\/s10791-009-9112-1","relation":{},"ISSN":["1386-4564","1573-7659"],"issn-type":[{"value":"1386-4564","type":"print"},{"value":"1573-7659","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,9,3]]},"assertion":[{"value":"21 April 2009","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 August 2009","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2009","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}