{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T08:36:42Z","timestamp":1769330202095,"version":"3.49.0"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319429953","type":"print"},{"value":"9783319429960","type":"electronic"}],"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":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-42996-0_2","type":"book-chapter","created":{"date-parts":[[2016,7,14]],"date-time":"2016-07-14T14:23:26Z","timestamp":1468506206000},"page":"15-25","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Neural Choice by Elimination via Highway Networks"],"prefix":"10.1007","author":[{"given":"Truyen","family":"Tran","sequence":"first","affiliation":[]},{"given":"Dinh","family":"Phung","sequence":"additional","affiliation":[]},{"given":"Svetha","family":"Venkatesh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,7,15]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Agarwal, A., Raghavan, H., Subbian, K., Melville, P., Lawrence, R.D., Gondek,\u00a0D.C., Fan, J.: Learning to rank for robust question answering. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp. 833\u2013842. ACM (2012)","DOI":"10.1145\/2396761.2396867"},{"key":"2_CR2","unstructured":"Azari, H., Parks, D., Xia, L.: Random utility theory for social choice. In: Advances in Neural Information Processing Systems, pp. 126\u2013134 (2012)"},{"issue":"1","key":"2_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y Bengio","year":"2009","unstructured":"Bengio, Y.: Learning deep architectures for AI. Found. Trends Mach. Learn. 2(1), 1\u2013127 (2009)","journal-title":"Found. Trends Mach. Learn."},{"issue":"1","key":"2_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"2","key":"2_CR5","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"key":"2_CR6","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, p. 96. ACM (2005)","DOI":"10.1145\/1102351.1102363"},{"key":"2_CR7","unstructured":"Burges, C.J., Svore, K.M., Bennett, P.N., Pastusiak, A., Qiang, W.: Learning to rank using an ensemble of lambda-gradient models. In: Yahoo! Learning to Rank Challenge, pp. 25\u201335 (2011)"},{"key":"2_CR8","unstructured":"Chapelle, O., Chang, Y.: Yahoo! learning to rank challenge overview. In: JMLR Workshop and Conference Proceedings, vol. 14, pp. 1\u201324 (2011)"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Chapelle, O., Metlzer, D., Zhang, Y., Grinspan, P.: Expected reciprocal rank for graded relevance. In: CIKM, pp. 621\u2013630. ACM (2009)","DOI":"10.1145\/1645953.1646033"},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Deng, L., He, X., Gao, J.: Deep stacking networks for information retrieval. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3153\u20133157. IEEE (2013)","DOI":"10.1109\/ICASSP.2013.6638239"},{"issue":"3","key":"2_CR11","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1016\/j.csi.2013.10.007","volume":"36","author":"Y Dong","year":"2014","unstructured":"Dong, Y., Huang, C., Liu, W.: RankCNN: when learning to rank encounters the pseudo preference feedback. Comput. Stan. Interfaces 36(3), 554\u2013562 (2014)","journal-title":"Comput. Stan. Interfaces"},{"issue":"5","key":"2_CR12","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"JH Friedman","year":"2001","unstructured":"Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Stat. 29(5), 1189\u20131232 (2001)","journal-title":"Ann. Stat."},{"issue":"4","key":"2_CR13","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","volume":"38","author":"JH Friedman","year":"2002","unstructured":"Friedman, J.H.: Stochastic gradient boosting. Comput. Stat. Data Anal. 38(4), 367\u2013378 (2002)","journal-title":"Comput. Stat. Data Anal."},{"key":"2_CR14","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.jmateco.2013.08.007","volume":"50","author":"Q Fu","year":"2014","unstructured":"Fu, Q., Lu, J., Wang, Z.: \u2018Reverse\u2019 nested lottery contests. J. Math. Econ. 50, 128\u2013140 (2014)","journal-title":"J. Math. Econ."},{"issue":"1","key":"2_CR15","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s10994-006-6226-1","volume":"63","author":"P Geurts","year":"2006","unstructured":"Geurts, P., Ernst, D., Wehenkel, L.: Extremely randomized trees. Mach. Learn. 63(1), 3\u201342 (2006)","journal-title":"Mach. Learn."},{"issue":"4","key":"2_CR16","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1214\/08-AOAS178","volume":"2","author":"IC Gormley","year":"2008","unstructured":"Gormley, I.C., Murphy, T.B.: A mixture of experts model for rank data with applications in election studies. Ann. Appl. Stat. 2(4), 1452\u20131477 (2008)","journal-title":"Ann. Appl. Stat."},{"issue":"1","key":"2_CR17","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1111\/j.2517-6161.1981.tb01153.x","volume":"43","author":"RJ Henery","year":"1981","unstructured":"Henery, R.J.: Permutation probabilities as models for horse races. J. R. Stat. Soc. Ser. B 43(1), 86\u201391 (1981)","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"Huang, P.-S., He, X., Gao, J., Deng, L., Acero, A., Heck, L.: Learning deep structured semantic models for web search using clickthrough data. In: Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, pp. 2333\u20132338. ACM (2013)","DOI":"10.1145\/2505515.2505665"},{"issue":"4","key":"2_CR19","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1145\/582415.582418","volume":"20","author":"K J\u00e4rvelin","year":"2002","unstructured":"J\u00e4rvelin, K., Kek\u00e4l\u00e4inen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst. (TOIS) 20(4), 446 (2002)","journal-title":"ACM Trans. Inf. Syst. (TOIS)"},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Joachims, T.: Optimizing search engines using clickthrough data. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 133\u2013142. ACM, New York (2002)","DOI":"10.1145\/775066.775067"},{"key":"2_CR21","unstructured":"Li, P., Burges, C., Wu, Q., Platt, J.C., Koller, D., Singer, Y., Roweis, S.: McRank: learning to rank using multiple classification and gradient boosting. In: Advances in Neural Information Processing Systems (2007)"},{"key":"2_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14267-3","volume-title":"Learning to Rank for Information Retrieval","author":"T-Y Liu","year":"2011","unstructured":"Liu, T.-Y.: Learning to Rank for Information Retrieval. Springer, Berlin (2011)"},{"key":"2_CR23","unstructured":"McFadden, D.: Conditional logit analysis of qualitative choice behavior. In: Frontiers in Econometrics, pp. 105\u2013142 (1973)"},{"key":"2_CR24","doi-asserted-by":"publisher","first-page":"193","DOI":"10.2307\/2346567","volume":"24","author":"RL Plackett","year":"1975","unstructured":"Plackett, R.L.: The analysis of permutations. Appl. Stat. 24, 193\u2013202 (1975)","journal-title":"Appl. Stat."},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"Severyn, A., Moschitti, A.: Learning to rank short text pairs with convolutional deep neural networks. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 373\u2013382. ACM (2015)","DOI":"10.1145\/2766462.2767738"},{"key":"2_CR26","doi-asserted-by":"crossref","unstructured":"Song, Y., Wang, H., He, X.: Adapting deep ranknet for personalized search. In: Proceedings of the 7th ACM International Conference on Web Search and Data Mining, pp. 83\u201392. ACM (2014)","DOI":"10.1145\/2556195.2556234"},{"key":"2_CR27","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15, 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"2_CR28","unstructured":"Srivastava, R.K., Greff, K., Schmidhuber, J.: Training very deep networks (2015). arXiv preprint: arXiv:1507.06228"},{"issue":"4","key":"2_CR29","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1037\/h0070288","volume":"34","author":"LL Thurstone","year":"1927","unstructured":"Thurstone, L.L.: A law of comparative judgment. Psychol. Rev. 34(4), 273 (1927)","journal-title":"Psychol. Rev."},{"key":"2_CR30","unstructured":"Tran, T., Phung, D., Venkatesh, S.: Thurstonian Boltzmann machines: learning from multiple inequalities. In: International Conference on Machine Learning (ICML), Atlanta, USA, 16\u201321 June 2013"},{"key":"2_CR31","doi-asserted-by":"crossref","unstructured":"Tran, T., Phung, D.Q., Venkatesh, S.: Sequential decision approach to ordinal preferences in recommender systems. In: Proceedings of the 26th AAAI Conference, Toronto, Ontario, Canada (2012)","DOI":"10.1609\/aaai.v26i1.8201"},{"key":"2_CR32","doi-asserted-by":"crossref","unstructured":"Truyen, T., Phung, D.Q., Venkatesh, S.: Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering. In: Proceedings of SIAM Conference on Data Mining (SDM), Mesa, Arizona, USA. SIAM (2011)","DOI":"10.1137\/1.9781611972818.37"},{"issue":"4","key":"2_CR33","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1037\/h0032955","volume":"79","author":"A Tversky","year":"1972","unstructured":"Tversky, A.: Elimination by aspects: a theory of choice. Psychol. Rev. 79(4), 281 (1972)","journal-title":"Psychol. Rev."},{"key":"2_CR34","doi-asserted-by":"crossref","unstructured":"Xia, F., Liu, T.Y., Wang, J., Zhang, W., Li, H.: Listwise approach to learning to rank: theory and algorithm. In Proceedings of the 25th International Conference on Machine Learning, pp. 1192\u20131199. ACM (2008)","DOI":"10.1145\/1390156.1390306"},{"issue":"2","key":"2_CR35","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/0022-2496(77)90026-8","volume":"15","author":"JI Yellott","year":"1977","unstructured":"Yellott, J.I.: The relationship between Luce\u2019s choice axiom, Thurstone\u2019s theory of comparative judgment, and the double exponential distribution. J. Math. Psychol. 15(2), 109\u2013144 (1977)","journal-title":"J. Math. Psychol."}],"container-title":["Lecture Notes in Computer Science","Trends and Applications in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-42996-0_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T06:51:36Z","timestamp":1718693496000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-42996-0_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319429953","9783319429960"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-42996-0_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"15 July 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Auckland","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 April 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}