{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T12:28:47Z","timestamp":1721392127523},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2012,8,12]]},"DOI":"10.1145\/2351356.2351358","type":"proceedings-article","created":{"date-parts":[[2012,8,28]],"date-time":"2012-08-28T13:09:52Z","timestamp":1346159392000},"update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":31,"title":["Using boosted trees for click-through rate prediction for sponsored search"],"prefix":"10.1145","author":[{"given":"Ilya","family":"Trofimov","sequence":"first","affiliation":[{"name":"Yandex, Moscow, Russia"}]},{"given":"Anna","family":"Kornetova","sequence":"additional","affiliation":[{"name":"Yandex, Moscow, Russia"}]},{"given":"Valery","family":"Topinskiy","sequence":"additional","affiliation":[{"name":"Yandex, Moscow, Russia"}]}],"member":"320","published-online":{"date-parts":[[2012,8,12]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"8","volume-title":"Workshop: Machine Learning in Online Advertising","author":"Bauman K.","year":"2010","unstructured":"K. Bauman , A. Kornetova , V. Topinsky , and D. Leshiner . Ctr prediction based on click statistic . In Workshop: Machine Learning in Online Advertising , pages 8 -- 13 . NIPS, December 2010 . K. Bauman, A. Kornetova, V. Topinsky, and D. Leshiner. Ctr prediction based on click statistic. In Workshop: Machine Learning in Online Advertising, pages 8--13. NIPS, December 2010."},{"key":"e_1_3_2_1_2_1","unstructured":"A. Broder and V. Josifovski. Introduction to Computational Advertising. http:\/\/www.stanford.edu\/class\/msande239\/. A. Broder and V. Josifovski. Introduction to Computational Advertising . http:\/\/www.stanford.edu\/class\/msande239\/."},{"key":"e_1_3_2_1_3_1","volume-title":"WWW","author":"Dave K.","year":"2011","unstructured":"K. Dave and V. Varma . Optimizing display advertisements based on historic user trails . In WWW , 2011 . K. Dave and V. Varma. Optimizing display advertisements based on historic user trails. In WWW, 2011."},{"key":"e_1_3_2_1_4_1","volume-title":"WWW","author":"Dembczynski K.","year":"2008","unstructured":"K. Dembczynski , W. Kotlowski , and D. Weiss . Predicting ads' click-through rate with decision rules . In WWW , April 2008 . K. Dembczynski, W. Kotlowski, and D. Weiss. Predicting ads' click-through rate with decision rules. In WWW, April 2008."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.97.1.242"},{"key":"e_1_3_2_1_6_1","volume-title":"Techical Report. Dept. of Statistics","author":"Friedman J.","year":"1999","unstructured":"J. Friedman . Greedy function approximation: A gradient boosting machine . In Techical Report. Dept. of Statistics , Stanford University , 1999 . J. Friedman. Greedy function approximation: A gradient boosting machine. In Techical Report. Dept. of Statistics, Stanford University, 1999."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(01)00065-2"},{"key":"e_1_3_2_1_8_1","volume-title":"ICML","author":"Graepel T.","year":"2010","unstructured":"T. Graepel , J. Q. Candela , T. Borchert , and R. Herbrich . Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft's bing search engine . In ICML , 2010 . T. Graepel, J. Q. Candela, T. Borchert, and R. Herbrich. Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft's bing search engine. In ICML, 2010."},{"key":"e_1_3_2_1_9_1","unstructured":"A. Gulin. Matrixnet. Technical report http:\/\/www.ashmanov.com\/arc\/searchconf2010\/08gulin-searchconf2010.ppt 2010. (in russian). A. Gulin. Matrixnet. Technical report http:\/\/www.ashmanov.com\/arc\/searchconf2010\/08gulin-searchconf2010.ppt 2010. (in russian)."},{"key":"e_1_3_2_1_10_1","first-page":"63","volume-title":"Workshop and Conference Proceedings","author":"Gulin A.","year":"2011","unstructured":"A. Gulin , I. Kuralenok , and D. Pavlov . Winning the transfer learning track of yahoo!'s learning to rank challenge with yetirank . In Workshop and Conference Proceedings , pages 63 -- 76 . JMLR, 2011 . A. Gulin, I. Kuralenok, and D. Pavlov. Winning the transfer learning track of yahoo!'s learning to rank challenge with yetirank. In Workshop and Conference Proceedings, pages 63--76. JMLR, 2011."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-21606-5"},{"key":"e_1_3_2_1_12_1","volume-title":"biglm: bounded memory linear and generalized linear models","author":"Lumley T.","year":"2011","unstructured":"T. Lumley . biglm: bounded memory linear and generalized linear models , 2011 . R package version 0.8. T. Lumley. biglm: bounded memory linear and generalized linear models, 2011. R package version 0.8."},{"key":"e_1_3_2_1_13_1","volume-title":"R: A Language and Environment for Statistical Computing","author":"Development Core Team R","year":"2011","unstructured":"R Development Core Team . R: A Language and Environment for Statistical Computing . R Foundation for Statistical Computing, Vienna, Austria , 2011 . ISBN 3-900051-07-0. R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2011. ISBN 3-900051-07-0."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242643"},{"key":"e_1_3_2_1_15_1","first-page":"1","author":"Ridgeway G.","year":"2010","unstructured":"G. Ridgeway . gbm : Generalized Boosted Regression Models , 2010 . R package version 1 .6--3.1. G. Ridgeway. gbm: Generalized Boosted Regression Models, 2010. R package version 1.6--3.1.","journal-title":"Generalized Boosted Regression Models"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718528"}],"event":{"name":"KDD '12: The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Beijing China","acronym":"KDD '12","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 Sixth International Workshop on Data Mining for Online Advertising and Internet Economy"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2351356.2351358","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T10:56:44Z","timestamp":1673002604000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2351356.2351358"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,8,12]]},"references-count":16,"alternative-id":["10.1145\/2351356.2351358","10.1145\/2351356"],"URL":"http:\/\/dx.doi.org\/10.1145\/2351356.2351358","relation":{},"subject":[],"published":{"date-parts":[[2012,8,12]]},"assertion":[{"value":"2012-08-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}