{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T15:18:43Z","timestamp":1777735123354,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,8,13]],"date-time":"2016-08-13T00:00:00Z","timestamp":1471046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,8,13]]},"DOI":"10.1145\/2939672.2939690","type":"proceedings-article","created":{"date-parts":[[2016,8,8]],"date-time":"2016-08-08T18:33:46Z","timestamp":1470681226000},"page":"283-292","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":57,"title":["An Empirical Study on Recommendation with Multiple Types of Feedback"],"prefix":"10.1145","author":[{"given":"Liang","family":"Tang","sequence":"first","affiliation":[{"name":"LinkedIn, Mountain View, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Long","sequence":"additional","affiliation":[{"name":"Particle Media Inc, Santa Clara, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bee-Chung","family":"Chen","sequence":"additional","affiliation":[{"name":"LinkedIn, Mountain View, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak","family":"Agarwal","sequence":"additional","affiliation":[{"name":"LinkedIn, Mountain View, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,8,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2007.58"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219841"},{"key":"e_1_3_2_2_3_1","first-page":"41","volume-title":"Advances in Neural Information Processing Systems: Proceedings of the 2006 Conference","author":"Argyriou A.","unstructured":"A. Argyriou , T. Evgeniou , and M. Pontil . Multi-task feature learning . In Advances in Neural Information Processing Systems: Proceedings of the 2006 Conference , page 41 . MIT Press, 2007. A. Argyriou, T. Evgeniou, and M. Pontil. Multi-task feature learning. In Advances in Neural Information Processing Systems: Proceedings of the 2006 Conference, page 41. MIT Press, 2007."},{"key":"e_1_3_2_2_4_1","volume-title":"A spectral regularization framework for multi-task structure learning. Advances in Neural Information Processing Systems, 20","author":"Argyriou A.","year":"2008","unstructured":"A. Argyriou , C. Micchelli , M. Pontil , and Y. Ying . A spectral regularization framework for multi-task structure learning. Advances in Neural Information Processing Systems, 20 , 2008 . A. Argyriou, C. Micchelli, M. Pontil, and Y. Ying. A spectral regularization framework for multi-task structure learning. Advances in Neural Information Processing Systems, 20, 2008."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273507"},{"key":"e_1_3_2_2_7_1","first-page":"20","author":"Blitzer J.","year":"2008","unstructured":"J. Blitzer , K. Crammer , A. Kulesza , F. Pereira , and J. Wortman . Learning bounds for domain adaptation. Advances in Neural Information Processing Systems , 20 , 2008 . J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. Wortman. Learning bounds for domain adaptation. Advances in Neural Information Processing Systems, 20, 2008.","journal-title":"Learning bounds for domain adaptation. Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/1610075.1610094"},{"key":"e_1_3_2_2_9_1","first-page":"153","volume":"20","author":"Bonilla E.","unstructured":"E. Bonilla , K. Chai , and C. Williams . Multi-task gaussian process prediction. Advances in Neural Information Processing Systems , 20 : 153 -- 160 . E. Bonilla, K. Chai, and C. Williams. Multi-task gaussian process prediction. Advances in Neural Information Processing Systems, 20:153--160.","journal-title":"Multi-task gaussian process prediction. Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281218"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"e_1_3_2_2_12_1","first-page":"256","volume-title":"Annual meeting-association for computational linguistics","volume":"45","author":"Daume H.","year":"2007","unstructured":"H. Daume . Frustratingly easy domain adaptation . In Annual meeting-association for computational linguistics , volume 45 , page 256 , 2007 . H. Daume. Frustratingly easy domain adaptation. In Annual meeting-association for computational linguistics, volume 45, page 256, 2007."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/1622559.1622562"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/WIIAT.2008.252"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v033.i01"},{"key":"e_1_3_2_2_17_1","first-page":"401","volume-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11), ICML '11","author":"Harel M.","year":"2011","unstructured":"M. Harel and S. Mannor . Learning from multiple outlooks. In L. Getoor and T. Scheffer, editors , Proceedings of the 28th International Conference on Machine Learning (ICML-11), ICML '11 , pages 401 -- 408 , New York, NY, USA , June 2011 . ACM. M. Harel and S. Mannor. Learning from multiple outlooks. In L. Getoor and T. Scheffer, editors, Proceedings of the 28th International Conference on Machine Learning (ICML-11), ICML '11, pages 401--408, New York, NY, USA, June 2011. ACM."},{"key":"e_1_3_2_2_18_1","first-page":"25","volume-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11), ICML '11","author":"He J.","year":"2011","unstructured":"J. He and R. Lawrence . A graph-based framework for multi-task multi-view learning. In L. Getoor and T. Scheffer, editors , Proceedings of the 28th International Conference on Machine Learning (ICML-11), ICML '11 , pages 25 -- 32 , New York, NY, USA , June 2011 . ACM. J. He and R. Lawrence. A graph-based framework for multi-task multi-view learning. In L. Getoor and T. Scheffer, editors, Proceedings of the 28th International Conference on Machine Learning (ICML-11), ICML '11, pages 25--32, New York, NY, USA, June 2011. ACM."},{"key":"e_1_3_2_2_19_1","volume-title":"Correcting sample selection bias by unlabeled data. Advances in neural information processing systems, 19: 601","author":"Huang J.","year":"2007","unstructured":"J. Huang , A. Smola , A. Gretton , K. Borgwardt , and B. Scholkopf . Correcting sample selection bias by unlabeled data. Advances in neural information processing systems, 19: 601 , 2007 . J. Huang, A. Smola, A. Gretton, K. Borgwardt, and B. Scholkopf. Correcting sample selection bias by unlabeled data. Advances in neural information processing systems, 19:601, 2007."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1944339.1944341"},{"key":"e_1_3_2_2_21_1","first-page":"264","volume-title":"Annual meeting-assosciation for computational linguistics","volume":"45","author":"Jiang J.","year":"2007","unstructured":"J. Jiang and C. Zhai . Instance weighting for domain adaptation in NLP . In Annual meeting-assosciation for computational linguistics , volume 45 , page 264 , 2007 . J. Jiang and C. Zhai. Instance weighting for domain adaptation in NLP. In Annual meeting-assosciation for computational linguistics, volume 45, page 264, 2007."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775067"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835487"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2011.33"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835486"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015382"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273558"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102415"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458099"},{"key":"e_1_3_2_2_30_1","series-title":"International Series in Operations Research & Management Science","volume-title":"Nonlinear Multiobjective Optimization","author":"Miettinen K.","year":"1999","unstructured":"K. Miettinen . Nonlinear Multiobjective Optimization . International Series in Operations Research & Management Science . Springer US , 1999 . K. Miettinen. Nonlinear Multiobjective Optimization. International Series in Operations Research & Management Science. Springer US, 1999."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/b98874"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273592"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2365952.2365962"},{"key":"e_1_3_2_2_34_1","first-page":"1209","volume":"17","author":"Schwaighofer A.","year":"2005","unstructured":"A. Schwaighofer , V. Tresp , and K. Yu . Learning Gaussian process kernels via hierarchical Bayes. Advances in Neural Information Processing Systems , 17 : 1209 -- 1216 , 2005 . A. Schwaighofer, V. Tresp, and K. Yu. Learning Gaussian process kernels via hierarchical Bayes. Advances in Neural Information Processing Systems, 17:1209--1216, 2005.","journal-title":"Learning Gaussian process kernels via hierarchical Bayes. Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3_8"},{"key":"e_1_3_2_2_36_1","first-page":"20","author":"Sugiyama M.","year":"2008","unstructured":"M. Sugiyama , S. Nakajima , H. Kashima , P. von Bunau , and M. Kawanabe . Direct importance estimation with model selection and its application to covariate shift adaptation. Advances in Neural Information Processing Systems , 20 , 2008 . M. Sugiyama, S. Nakajima, H. Kashima, P. von Bunau, and M. Kawanabe. Direct importance estimation with model selection and its application to covariate shift adaptation. Advances in Neural Information Processing Systems, 20, 2008.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_37_1","volume-title":"A coordinate gradient descent method for nonsmooth separable minimization. Mathematical Programming, 117(1--2):387--423","author":"Tseng P.","year":"2009","unstructured":"P. Tseng and S. Yun . A coordinate gradient descent method for nonsmooth separable minimization. Mathematical Programming, 117(1--2):387--423 , 2009 . P. Tseng and S. Yun. A coordinate gradient descent method for nonsmooth separable minimization. Mathematical Programming, 117(1--2):387--423, 2009."},{"key":"e_1_3_2_2_38_1","first-page":"1541","volume-title":"IJCAI","author":"Wang C.","year":"2011","unstructured":"C. Wang and S. Mahadevan . Heterogeneous domain adaptation using manifold alignment . In IJCAI , pages 1541 -- 1546 , 2011 . C. Wang and S. Mahadevan. Heterogeneous domain adaptation using manifold alignment. In IJCAI, pages 1541--1546, 2011."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/1687878.1687880"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1060745.1060754"}],"event":{"name":"KDD '16: The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"San Francisco California USA","acronym":"KDD '16","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 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2939672.2939690","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2939672.2939690","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:55:57Z","timestamp":1750222557000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2939672.2939690"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,13]]},"references-count":40,"alternative-id":["10.1145\/2939672.2939690","10.1145\/2939672"],"URL":"https:\/\/doi.org\/10.1145\/2939672.2939690","relation":{},"subject":[],"published":{"date-parts":[[2016,8,13]]},"assertion":[{"value":"2016-08-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}