{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T15:38:26Z","timestamp":1782833906501,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T00:00:00Z","timestamp":1509926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China (NSFC)","award":["No. 61232010, 61433014, 61425016, 61472401, 61203298"],"award-info":[{"award-number":["No. 61232010, 61433014, 61425016, 61472401, 61203298"]}]},{"name":"Youth Innovation Promotion Association CAS","award":["No. 20144310, 2016102"],"award-info":[{"award-number":["No. 20144310, 2016102"]}]},{"name":"973 Program of China","award":["No. 2014CB340401"],"award-info":[{"award-number":["No. 2014CB340401"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,11,6]]},"DOI":"10.1145\/3132847.3132914","type":"proceedings-article","created":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T13:30:29Z","timestamp":1509975029000},"page":"257-266","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":147,"title":["DeepRank"],"prefix":"10.1145","author":[{"given":"Liang","family":"Pang","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanyan","family":"Lan","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiafeng","family":"Guo","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Xu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingfang","family":"Xu","sequence":"additional","affiliation":[{"name":"Sogou Inc, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueqi","family":"Cheng","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,11,6]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"23","article-title":"From ranknet to lambdarank to lambdamart: An overview","volume":"11","author":"Burges Christopher JC","year":"2010","unstructured":"Christopher JC Burges . 2010 . From ranknet to lambdarank to lambdamart: An overview . Learning Vol. 11 (2010), 23 -- 581 . Christopher JC Burges. 2010. From ranknet to lambdarank to lambdamart: An overview. Learning Vol. 11 (2010), 23--581.","journal-title":"Learning"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273513"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the Learning to Rank Challenge. 1--24","author":"Chapelle Olivier","year":"2011","unstructured":"Olivier Chapelle and Yi Chang . 2011 . Yahoo! learning to rank challenge overview . In Proceedings of the Learning to Rank Challenge. 1--24 . Olivier Chapelle and Yi Chang. 2011. Yahoo! learning to rank challenge overview. In Proceedings of the Learning to Rank Challenge. 1--24."},{"key":"e_1_3_2_1_4_1","volume-title":"Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho , Bart Van Merri\u00ebnboer , Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 . Learning phrase representations using RNN encoder-decoder for statistical machine translation. In EMNLP. 1724--1734. Kyunghyun Cho, Bart Van Merri\u00ebnboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. In EMNLP. 1724--1734."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767703"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1008992.1009004"},{"key":"e_1_3_2_1_7_1","volume-title":"JMLR","volume":"4","author":"Freund Yoav","year":"2003","unstructured":"Yoav Freund , Raj Iyer , Robert E Schapire , and Yoram Singer . 2003 . An efficient boosting algorithm for combining preferences . JMLR , Vol. 4 , Nov (2003), 933--969. Yoav Freund, Raj Iyer, Robert E Schapire, and Yoram Singer. 2003. An efficient boosting algorithm for combining preferences. JMLR, Vol. 4, Nov (2003), 933--969."},{"key":"e_1_3_2_1_8_1","volume-title":"Inferring probability of relevance using the method of logistic regression SIGIR","author":"Gey Fredric C","unstructured":"Fredric C Gey . 1994. Inferring probability of relevance using the method of logistic regression SIGIR . Springer , 222--231. Fredric C Gey. 1994. Inferring probability of relevance using the method of logistic regression SIGIR. Springer, 222--231."},{"key":"e_1_3_2_1_9_1","volume-title":"Conjugate Gradient, and Early Stopping NIPS","author":"Steve Lawrence Lee Giles Rich Caruana","unstructured":"Rich Caruana Steve Lawrence Lee Giles . 2001. Overfitting in Neural Nets: Backpropagation , Conjugate Gradient, and Early Stopping NIPS , Vol. Vol. 13 . MIT Press , 402. Rich Caruana Steve Lawrence Lee Giles. 2001. Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping NIPS, Vol. Vol. 13. MIT Press, 402."},{"key":"e_1_3_2_1_10_1","volume-title":"Speech recognition with deep recurrent neural networks ICASSP","author":"Graves Alan","unstructured":"Alan Graves , Abdel-rahman Mohamed, and Geoffrey Hinton . 2013. Speech recognition with deep recurrent neural networks ICASSP . IEEE , 6645--6649. Alan Graves, Abdel-rahman Mohamed, and Geoffrey Hinton. 2013. Speech recognition with deep recurrent neural networks ICASSP. IEEE, 6645--6649."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983769"},{"key":"e_1_3_2_1_12_1","unstructured":"Baotian Hu Zhengdong Lu Hang Li and Qingcai Chen. 2014. Convolutional neural network architectures for matching natural language sentences NIPS. 2042--2050.   Baotian Hu Zhengdong Lu Hang Li and Qingcai Chen. 2014. Convolutional neural network architectures for matching natural language sentences NIPS. 2042--2050."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775067"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150429"},{"key":"e_1_3_2_1_16_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik","year":"2014","unstructured":"Diederik Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_17_1","volume-title":"Nature","volume":"521","author":"LeCun Yann","year":"2015","unstructured":"Yann LeCun , Yoshua Bengio , and Geoffrey Hinton . 2015 . Deep learning . Nature , Vol. 521 , 7553 (2015), 436--444. Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015. Deep learning. Nature, Vol. 521, 7553 (2015), 436--444."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000016"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1571994"},{"key":"e_1_3_2_1_20_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality NIPS. 3111--3119.   Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality NIPS. 3111--3119."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2348283.2348384"},{"key":"e_1_3_2_1_23_1","volume-title":"2016 a. A study of matchpyramid models on ad-hoc retrieval Neu-IR '16 SIGIR Workshop on Neural Information Retrieval","author":"Pang Liang","unstructured":"Liang Pang , Yanyan Lan , Jiafeng Guo , Jun Xu , and Xueqi Cheng . 2016 a. A study of matchpyramid models on ad-hoc retrieval Neu-IR '16 SIGIR Workshop on Neural Information Retrieval . Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng. 2016 a. A study of matchpyramid models on ad-hoc retrieval Neu-IR '16 SIGIR Workshop on Neural Information Retrieval."},{"key":"e_1_3_2_1_24_1","volume-title":"2016 b. Text matching as image recognition","author":"Pang Liang","unstructured":"Liang Pang , Yanyan Lan , Jiafeng Guo , Jun Xu , Shengxian Wan , and Xueqi Cheng . 2016 b. Text matching as image recognition . In AAAI. AAAI Press , 2793--2799. Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, and Xueqi Cheng. 2016 b. Text matching as image recognition. In AAAI. AAAI Press, 2793--2799."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-009-9123-y"},{"key":"e_1_3_2_1_26_1","volume-title":"Evaluation in information retrieval. Lectures on information retrieval","author":"Robertson Stephen","unstructured":"Stephen Robertson . 2000. Evaluation in information retrieval. Lectures on information retrieval . Springer , 81--92. Stephen Robertson. 2000. Evaluation in information retrieval. Lectures on information retrieval. Springer, 81--92."},{"key":"e_1_3_2_1_27_1","volume-title":"Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval","author":"Robertson Stephen E","unstructured":"Stephen E Robertson and Steve Walker . 1994. Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval . In SIGIR. Springer-Verlag New York, Inc. , 232--241. Stephen E Robertson and Steve Walker. 1994. Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval. In SIGIR. Springer-Verlag New York, Inc., 232--241."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767738"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2567948.2577348"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/1321440.1321528"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277794"},{"key":"e_1_3_2_1_32_1","unstructured":"Shengxian Wan Yanyan Lan Jiafeng Guo Jun Xu Liang Pang and Xueqi Cheng. 2016. Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN IJCAI. 2922--2928.   Shengxian Wan Yanyan Lan Jiafeng Guo Jun Xu Liang Pang and Xueqi Cheng. 2016. Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN IJCAI. 2922--2928."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2006.10.009"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277809"}],"event":{"name":"CIKM '17: ACM Conference on Information and Knowledge Management","location":"Singapore Singapore","acronym":"CIKM '17","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 2017 ACM on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3132914","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132847.3132914","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:45Z","timestamp":1750212825000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3132914"}},"subtitle":["A New Deep Architecture for Relevance Ranking in Information Retrieval"],"short-title":[],"issued":{"date-parts":[[2017,11,6]]},"references-count":33,"alternative-id":["10.1145\/3132847.3132914","10.1145\/3132847"],"URL":"https:\/\/doi.org\/10.1145\/3132847.3132914","relation":{},"subject":[],"published":{"date-parts":[[2017,11,6]]},"assertion":[{"value":"2017-11-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}