{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T08:36:43Z","timestamp":1773218203643,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"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":[[2020,10,19]]},"DOI":"10.1145\/3340531.3411929","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:05Z","timestamp":1603085465000},"page":"65-74","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":43,"title":["Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network"],"prefix":"10.1145","author":[{"given":"Shuqing","family":"Bian","sequence":"first","affiliation":[{"name":"Renmin University of China, Beijing, China"}]},{"given":"Xu","family":"Chen","sequence":"additional","affiliation":[{"name":"University College London, London, United Kingdom"}]},{"given":"Wayne Xin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"}]},{"given":"Kun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Renmin University of China, Beijing, China"}]},{"given":"Yupeng","family":"Hou","sequence":"additional","affiliation":[{"name":"Renmin University of China, Beijing, China"}]},{"given":"Yang","family":"Song","sequence":"additional","affiliation":[{"name":"Boss Zhipin NLP Center, Beijing, China"}]},{"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Boss Zhipin NLP Center, Beijing, China"}]},{"given":"Ji-Rong","family":"Wen","sequence":"additional","affiliation":[{"name":"Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"ICML","author":"Bengio Yoshua","year":"2009","unstructured":"Yoshua Bengio , J\u00e9 r\u00f4 me Louradour, Ronan Collobert, and Jason Weston. 2009. Curriculum learning . In ICML 2009 . 41--48. Yoshua Bengio, J\u00e9 r\u00f4 me Louradour, Ronan Collobert, and Jason Weston. 2009. Curriculum learning. In ICML 2009. 41--48."},{"key":"e_1_3_2_2_2_1","first-page":"4809","article-title":"Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network","volume":"2019","author":"Bian Shuqing","year":"2019","unstructured":"Shuqing Bian , Wayne Xin Zhao , Yang Song , Tao Zhang , and Ji-Rong Wen . 2019 . Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network . In EMNLP-IJCNLP 2019. 4809 -- 4819 . Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, and Ji-Rong Wen. 2019. Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network. In EMNLP-IJCNLP 2019. 4809--4819.","journal-title":"EMNLP-IJCNLP"},{"key":"e_1_3_2_2_3_1","first-page":"4171","article-title":"BERT","volume":"2019","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT 2019. 4171 -- 4186 . Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT 2019. 4171--4186.","journal-title":"Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2492517.2500266"},{"key":"e_1_3_2_2_5_1","volume-title":"ICLR","author":"Fan Yang","year":"2018","unstructured":"Yang Fan , Fei Tian , Tao Qin , Xiang-Yang Li , and Tie-Yan Liu . 2018 . Learning to Teach . In ICLR 2018. 350--357. Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, and Tie-Yan Liu. 2018. Learning to Teach. In ICLR 2018. 350--357."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1370"},{"key":"e_1_3_2_2_7_1","volume-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels. In NeurIPS","author":"Han Bo","year":"2018","unstructured":"Bo Han , Quanming Yao , Xingrui Yu , Gang Niu , Miao Xu , Weihua Hu , Ivor W. Tsang , and Masashi Sugiyama . 2018 . Co-teaching: Robust training of deep neural networks with extremely noisy labels. In NeurIPS 2018. 8536--8546. Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, and Masashi Sugiyama. 2018. Co-teaching: Robust training of deep neural networks with extremely noisy labels. In NeurIPS 2018. 8536--8546."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"e_1_3_2_2_9_1","volume-title":"Neural Factorization Machines for Sparse Predictive Analytics. In SIGIR","author":"He Xiangnan","year":"2017","unstructured":"Xiangnan He and Tat-Seng Chua . 2017 . Neural Factorization Machines for Sparse Predictive Analytics. In SIGIR 2017. 355--364. Xiangnan He and Tat-Seng Chua. 2017. Neural Factorization Machines for Sparse Predictive Analytics. In SIGIR 2017. 355--364."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_2_11_1","first-page":"2309","article-title":"MentorNet","volume":"2018","author":"Jiang Lu","year":"2018","unstructured":"Lu Jiang , Zhengyuan Zhou , Thomas Leung , Li-Jia Li , and Li Fei-Fei . 2018 . MentorNet : Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. In ICML 2018. 2309 -- 2318 . Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, and Li Fei-Fei. 2018. MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. In ICML 2018. 2309--2318.","journal-title":"In ICML"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-018-0568-z"},{"key":"e_1_3_2_2_13_1","first-page":"346","article-title":"Personalized Job Recommendation System at LinkedIn","volume":"2017","author":"Kenthapadi Krishnaram","year":"2017","unstructured":"Krishnaram Kenthapadi , Benjamin Le , and Ganesh Venkataraman . 2017 . Personalized Job Recommendation System at LinkedIn : Practical Challenges and Lessons Learned. In RecSys 2017. 346 -- 347 . Krishnaram Kenthapadi, Benjamin Le, and Ganesh Venkataraman. 2017. Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned. In RecSys 2017. 346--347.","journal-title":"Practical Challenges and Lessons Learned. In RecSys"},{"key":"e_1_3_2_2_14_1","volume-title":"Convolutional Neural Networks for Sentence Classification. In EMNLP","author":"Kim Yoon","year":"2014","unstructured":"Yoon Kim . 2014 . Convolutional Neural Networks for Sentence Classification. In EMNLP 2014. 1746--1751. Yoon Kim. 2014. Convolutional Neural Networks for Sentence Classification. In EMNLP 2014. 1746--1751."},{"key":"e_1_3_2_2_15_1","volume-title":"Semi-Supervised Classification with Graph Convolutional Networks. In ICLR","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling. 2017 . Semi-Supervised Classification with Graph Convolutional Networks. In ICLR 2017 . 436--444. Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In ICLR 2017. 436--444."},{"key":"e_1_3_2_2_16_1","volume-title":"NeurIPS","author":"Kumar M. Pawan","year":"2010","unstructured":"M. Pawan Kumar , Benjamin Packer , and Daphne Koller . 2010. Self-Paced Learning for Latent Variable Models . In NeurIPS 2010 . 1189--1197. M. Pawan Kumar, Benjamin Packer, and Daphne Koller. 2010. Self-Paced Learning for Latent Variable Models. In NeurIPS 2010. 1189--1197."},{"key":"e_1_3_2_2_17_1","volume-title":"Sandy El Helou, and Denis Gillet","author":"Lu Yao","year":"2013","unstructured":"Yao Lu , Sandy El Helou, and Denis Gillet . 2013 . A recommender system for job seeking and recruiting website. In WWW 2013. 963--966. Yao Lu, Sandy El Helou, and Denis Gillet. 2013. A recommender system for job seeking and recruiting website. In WWW 2013. 963--966."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357899"},{"key":"e_1_3_2_2_19_1","volume-title":"NeurIPS","author":"Malach Eran","year":"2017","unstructured":"Eran Malach and Shai Shalev-Shwartz . 2017. Decoupling \"when to update\" from \"how to update\". In NeurIPS 2017 . 960--970. Eran Malach and Shai Shalev-Shwartz. 2017. Decoupling \"when to update\" from \"how to update\". In NeurIPS 2017. 960--970."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210025"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272030"},{"key":"e_1_3_2_2_22_1","volume-title":"WWW","author":"Sarwar Badrul Munir","year":"2010","unstructured":"Badrul Munir Sarwar , George Karypis , Joseph A. Konstan , and John Riedl . 2010 . Item-based collaborative filtering recommendation algorithms . In WWW 2010. Badrul Munir Sarwar, George Karypis, Joseph A. Konstan, and John Riedl. 2010. Item-based collaborative filtering recommendation algorithms. In WWW 2010."},{"key":"e_1_3_2_2_23_1","volume-title":"Modeling Relational Data with Graph Convolutional Networks. In ESWC","author":"Schlichtkrull Michael Sejr","year":"2018","unstructured":"Michael Sejr Schlichtkrull , Thomas N. Kipf , Peter Bloem , Rianne van den Berg, Ivan Titov, and Max Welling. 2018a . Modeling Relational Data with Graph Convolutional Networks. In ESWC 2018 . 593--607. Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018a. Modeling Relational Data with Graph Convolutional Networks. In ESWC 2018. 593--607."},{"key":"e_1_3_2_2_24_1","volume-title":"Modeling Relational Data with Graph Convolutional Networks. In ESWC","author":"Schlichtkrull Michael Sejr","year":"2018","unstructured":"Michael Sejr Schlichtkrull , Thomas N. Kipf , Peter Bloem , Rianne van den Berg, Ivan Titov, and Max Welling. 2018b . Modeling Relational Data with Graph Convolutional Networks. In ESWC 2018 . 593--607. Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018b. Modeling Relational Data with Graph Convolutional Networks. In ESWC 2018. 593--607."},{"key":"e_1_3_2_2_25_1","volume-title":"Help me find a job: A graph-based approach for job recommendation at scale","author":"Shalaby Walid","year":"2017","unstructured":"Walid Shalaby , BahaaEddin AlAila , Mohammed Korayem , Layla Pournajaf , Khalifeh AlJadda , Shannon Quinn , and Wlodek Zadrozny . 2017. Help me find a job: A graph-based approach for job recommendation at scale . In IEEE BigData 2017 . 1544--1553. Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf, Khalifeh AlJadda, Shannon Quinn, and Wlodek Zadrozny. 2017. Help me find a job: A graph-based approach for job recommendation at scale. In IEEE BigData 2017. 1544--1553."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/492"},{"key":"e_1_3_2_2_27_1","volume-title":"NeurIPS","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N. Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017. Attention is All you Need . In NeurIPS 2017 . 5998--6008. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In NeurIPS 2017. 5998--6008."},{"key":"e_1_3_2_2_28_1","volume-title":"NeurIPS","author":"Wu Lijun","year":"2018","unstructured":"Lijun Wu , Fei Tian , Yingce Xia , Yang Fan , Tao Qin , Jian-Huang Lai , and Tie-Yan Liu . 2018. Learning to Teach with Dynamic Loss Functions . In NeurIPS 2018 . 6467--6478. Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, and Tie-Yan Liu. 2018. Learning to Teach with Dynamic Loss Functions. In NeurIPS 2018. 6467--6478."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1062"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330963"},{"key":"e_1_3_2_2_31_1","volume-title":"Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. In AAAI","author":"Yang Fengxiang","year":"2020","unstructured":"Fengxiang Yang , Ke Li , Zhun Zhong , Zhiming Luo , Xing Sun , Hao Cheng , Xiaowei Guo , Feiyue Huang , Rongrong Ji , and Shaozi Li . 2020 . Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. In AAAI 2020. 12597--12604. Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, and Shaozi Li. 2020. Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. In AAAI 2020. 12597--12604."},{"key":"e_1_3_2_2_32_1","volume-title":"COLING","author":"Zhou Peng","year":"2016","unstructured":"Peng Zhou , Zhenyu Qi , Suncong Zheng , Jiaming Xu , Hongyun Bao , and Bo Xu . 2016 . Text Classification Improved by Integrating Bidirectional LS\u2122 with Two-dimensional Max Pooling . In COLING 2016. 3485--3495. Peng Zhou, Zhenyu Qi, Suncong Zheng, Jiaming Xu, Hongyun Bao, and Bo Xu. 2016. Text Classification Improved by Integrating Bidirectional LS\u2122 with Two-dimensional Max Pooling. In COLING 2016. 3485--3495."}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411929","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3411929","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:22Z","timestamp":1750197682000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411929"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":32,"alternative-id":["10.1145\/3340531.3411929","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3411929","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}