{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:18:50Z","timestamp":1784179130941,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":60,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,17]],"date-time":"2018-10-17T00:00:00Z","timestamp":1539734400000},"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":[[2018,10,17]]},"DOI":"10.1145\/3269206.3271800","type":"proceedings-article","created":{"date-parts":[[2018,10,22]],"date-time":"2018-10-22T12:08:27Z","timestamp":1540210107000},"page":"497-506","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":102,"title":["From Neural Re-Ranking to Neural Ranking"],"prefix":"10.1145","author":[{"given":"Hamed","family":"Zamani","sequence":"first","affiliation":[{"name":"University of Massachusetts Amherst, Amherst, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mostafa","family":"Dehghani","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"W. Bruce","family":"Croft","sequence":"additional","affiliation":[{"name":"University of Massachusetts Amherst, Amherst, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erik","family":"Learned-Miller","sequence":"additional","affiliation":[{"name":"University of Massachusetts Amherst, Amherst, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaap","family":"Kamps","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210039"},{"key":"e_1_3_2_1_2_1","first-page":"136","volume-title":"ICML'16","author":"Arpit D.","year":"2016","unstructured":"D. Arpit , Y. Zhou , H. Ngo , and V. Govindaraju . Why regularized auto-encoders learn sparse representation ? In ICML'16 , pages 136 -- 144 , 2016 . D. Arpit, Y. Zhou, H. Ngo, and V. Govindaraju. Why regularized auto-encoders learn sparse representation? In ICML'16, pages 136--144, 2016."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2010058"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/322017.322021"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277820"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983815"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098017"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210137"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-011-9162-z"},{"key":"e_1_3_2_1_10_1","volume-title":"Search Engines: Information Retrieval in Practice","author":"Croft W. B.","year":"2009","unstructured":"W. B. Croft , D. Metzler , and T. Strohman . Search Engines: Information Retrieval in Practice . 1 st edition, 2009 . W. B. Croft, D. Metzler, and T. Strohman. Search Engines: Information Retrieval in Practice. 1st edition, 2009.","edition":"1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511794308.002"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983814"},{"key":"e_1_3_2_1_14_1","volume-title":"Avoiding your teacher's mistakes: Training neural networks with controlled weak supervision. CoRR, abs\/1711.00313","author":"Dehghani M.","year":"2017","unstructured":"Dehghani, Severyn, Rothe, and Kamps}Dehghani:2017:arxiv M. Dehghani , A. Severyn , S. Rothe , and J. Kamps . Avoiding your teacher's mistakes: Training neural networks with controlled weak supervision. CoRR, abs\/1711.00313 , 2017 a . Dehghani, Severyn, Rothe, and Kamps}Dehghani:2017:arxivM. Dehghani, A. Severyn, S. Rothe, and J. Kamps. Avoiding your teacher's mistakes: Training neural networks with controlled weak supervision. CoRR, abs\/1711.00313, 2017 a ."},{"key":"e_1_3_2_1_15_1","volume-title":"Meta-Learning Workshop @ NIPS '17","author":"Dehghani M.","year":"2017","unstructured":"Dehghani, Severyn, Rothe, and Kamps}Dehghani:2017:nips_metalearn M. Dehghani , A. Severyn , S. Rothe , and J. Kamps . Learning to learn from weak supervision by full supervision . In Meta-Learning Workshop @ NIPS '17 , 2017 b . Dehghani, Severyn, Rothe, and Kamps}Dehghani:2017:nips_metalearnM. Dehghani, A. Severyn, S. Rothe, and J. Kamps. Learning to learn from weak supervision by full supervision. In Meta-Learning Workshop @ NIPS '17, 2017 b ."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080832"},{"key":"e_1_3_2_1_17_1","volume-title":"ICLR'18","author":"Dehghani ICLRM.","year":"2018","unstructured":"opf}Dehghani:2018: ICLRM. Dehghani , A. Mehrjou , S. Gouws , J. Kamps , and B. Sch\u00f6lkopf . Fidelity-weighted learning . In ICLR'18 , 2018 . opf}Dehghani:2018:ICLRM. Dehghani, A. Mehrjou, S. Gouws, J. Kamps, and B. Sch\u00f6lkopf. Fidelity-weighted learning. In ICLR'18, 2018."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052611"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1137\/0152031"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983769"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"e_1_3_2_1_23_1","volume-title":"ICLR'15","author":"Kingma D. P.","year":"2015","unstructured":"D. P. Kingma and J. Ba . Adam: A method for stochastic optimization . In ICLR'15 , 2015 . D. P. Kingma and J. Ba. Adam: A method for stochastic optimization. In ICLR'15, 2015."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/383952.383972"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/2018740"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132856"},{"key":"e_1_3_2_1_27_1","first-page":"1367","volume-title":"NIPS'13","author":"Lu Z.","year":"2013","unstructured":"Z. Lu and H. Li . A deep architecture for matching short texts . In NIPS'13 , pages 1367 -- 1375 , 2013 . Z. Lu and H. Li. A deep architecture for matching short texts. In NIPS'13, pages 1367--1375, 2013."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68155-9_16"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646259"},{"key":"e_1_3_2_1_30_1","volume-title":"ICLR'14","author":"Makhzani A.","year":"2014","unstructured":"A. Makhzani and B. Frey . K-sparse autoencoders . In ICLR'14 , 2014 . A. Makhzani and B. Frey. K-sparse autoencoders. In ICLR'14, 2014."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/1076034.1076115"},{"key":"e_1_3_2_1_32_1","first-page":"3111","volume-title":"NIPS'13","author":"Mikolov T.","year":"2013","unstructured":"T. Mikolov , I. Sutskever , K. Chen , G. S. Corrado , and J. Dean . Distributed Representations of Words and Phrases and their Compositionality . In NIPS'13 , pages 3111 -- 3119 , 2013 . T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed Representations of Words and Phrases and their Compositionality. In NIPS'13, pages 3111--3119, 2013."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.5555\/3239802"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052579"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2321376"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1561\/0400000002"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210123"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1146847.1146848"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/290941.291008"},{"key":"e_1_3_2_1_41_1","first-page":"313","volume-title":"The SMART Retrieval System: Experiments in Automatic Document Processing","author":"Rocchio J. J.","year":"1971","unstructured":"J. J. Rocchio . Relevance Feedback in Information Retrieval . In The SMART Retrieval System: Experiments in Automatic Document Processing , pages 313 -- 323 . 1971 . J. J. Rocchio. Relevance Feedback in Information Retrieval. In The SMART Retrieval System: Experiments in Automatic Document Processing, pages 313--323. 1971."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2567948.2577348"},{"key":"e_1_3_2_1_44_1","first-page":"2915","volume-title":"IJCAI'16","author":"Sun F.","year":"2016","unstructured":"F. Sun , J. Guo , Y. Lan , J. Xu , and X. Cheng . Sparse word embeddings using l1 regularized online learning . In IJCAI'16 , pages 2915 -- 2921 , 2016 . F. Sun, J. Guo, Y. Lan, J. Xu, and X. Cheng. Sparse word embeddings using l1 regularized online learning. In IJCAI'16, pages 2915--2921, 2016."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"Tibshirani R.","year":"1994","unstructured":"R. Tibshirani . Regression shrinkage and selection via the lasso . J. R. Stat. Soc. Series B , 58 : 267 -- 288 , 1994 . R. Tibshirani. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Series B, 58: 267--288, 1994.","journal-title":"J. R. Stat. Soc. Series B"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983702"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196826"},{"key":"e_1_3_2_1_48_1","volume-title":"Managing Gigabytes: Compressing and Indexing Documents and Images","author":"Witten I. H.","year":"1999","unstructured":"I. H. Witten , A. Moffat , and T. C. Bell . Managing Gigabytes: Compressing and Indexing Documents and Images , Second Edition. 1999 . I. H. Witten, A. Moffat, and T. C. Bell. Managing Gigabytes: Compressing and Indexing Documents and Images, Second Edition. 1999."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080809"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/243199.243202"},{"key":"e_1_3_2_1_51_1","volume-title":"Deep Learning Workshop @ NIPS '14","author":"Yu L.","year":"2014","unstructured":"L. Yu , K. M. Hermann , P. Blunsom , and S. Pulman . Deep learning for answer sentence selection . In Deep Learning Workshop @ NIPS '14 , 2014 . L. Yu, K. M. Hermann, P. Blunsom, and S. Pulman. Deep learning for answer sentence selection. In Deep Learning Workshop @ NIPS '14, 2014."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080831"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3234944.3234968"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983844"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052648"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210041"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210200"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159730"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/502585.502654"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/984321.984322"}],"event":{"name":"CIKM '18: The 27th ACM International Conference on Information and Knowledge Management","location":"Torino Italy","acronym":"CIKM '18","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 27th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3269206.3271800","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3269206.3271800","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:57:20Z","timestamp":1750208240000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3269206.3271800"}},"subtitle":["Learning a Sparse Representation for Inverted Indexing"],"short-title":[],"issued":{"date-parts":[[2018,10,17]]},"references-count":60,"alternative-id":["10.1145\/3269206.3271800","10.1145\/3269206"],"URL":"https:\/\/doi.org\/10.1145\/3269206.3271800","relation":{},"subject":[],"published":{"date-parts":[[2018,10,17]]},"assertion":[{"value":"2018-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}