{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T02:51:15Z","timestamp":1783738275868,"version":"3.55.0"},"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\/3340531.3412704","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T06:32:45Z","timestamp":1603089165000},"page":"2941-2958","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":48,"title":["Ensembled CTR Prediction via Knowledge Distillation"],"prefix":"10.1145","author":[{"given":"Jieming","family":"Zhu","sequence":"first","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinyang","family":"Liu","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiqi","family":"Li","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jincai","family":"Lai","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuqiang","family":"He","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Chen","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zibin","family":"Zheng","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"2009. The BigChaos Solution to the Netflix Grand Prize. https:\/\/www.netflixprize. com\/assets\/GrandPrize2009_BPC_BigChaos.pdf  2009. The BigChaos Solution to the Netflix Grand Prize. https:\/\/www.netflixprize. com\/assets\/GrandPrize2009_BPC_BigChaos.pdf"},{"key":"e_1_3_2_2_2_1","unstructured":"2015. 4 Idiots? Approach for Click-through Rate Prediction. https:\/\/www.csie. ntu.edu.tw\/~r01922136\/slides\/kaggle-avazu.pdf  2015. 4 Idiots? Approach for Click-through Rate Prediction. https:\/\/www.csie. ntu.edu.tw\/~r01922136\/slides\/kaggle-avazu.pdf"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3281659"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_2_6_1","volume-title":"International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR).","author":"Xiuqiang He Weike Pan Zhenhua Dong","year":"2020","unstructured":"Zhenhua Dong Xiuqiang He Weike Pan Zhong~Ming Dugang~Liu , Pengxiang~Cheng. 2020 . A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data . In International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR). Zhenhua Dong Xiuqiang He Weike Pan Zhong~Ming Dugang~Liu, Pengxiang~Cheng. 2020. A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. In International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/319"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/239"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2648584.2648589"},{"key":"e_1_3_2_2_10_1","volume-title":"Distilling the Knowledge in a Neural Network. CoRR","author":"Hinton Geoffrey E.","year":"2015","unstructured":"Geoffrey E. Hinton , Oriol Vinyals , and Jeffrey Dean . 2015. Distilling the Knowledge in a Neural Network. CoRR , Vol. abs\/ 1503 .02531 ( 2015 ). Geoffrey E. Hinton, Oriol Vinyals, and Jeffrey Dean. 2015. Distilling the Knowledge in a Neural Network. CoRR, Vol. abs\/1503.02531 (2015)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347043"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959134"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330858"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330676"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357951"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220023"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054192"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313497"},{"key":"e_1_3_2_2_19_1","volume-title":"Proceedings of the 6th International Conference on Learning Representations, (ICLR).","author":"K.","unstructured":"Asit~ K. Mishra and Debbie Marr. 2018. Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy . In Proceedings of the 6th International Conference on Learning Representations, (ICLR). Asit~K. Mishra and Debbie Marr. 2018. Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. In Proceedings of the 6th International Conference on Learning Representations, (ICLR)."},{"key":"e_1_3_2_2_20_1","volume-title":"Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. TOIS","author":"Qu Yanru","year":"2019","unstructured":"Yanru Qu , Bohui Fang , Weinan Zhang , Ruiming Tang , Minzhe Niu , Huifeng Guo , Yong Yu , and Xiuqiang He. 2019. Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. TOIS ( 2019 ). Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, and Xiuqiang He. 2019. Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. TOIS (2019)."},{"key":"e_1_3_2_2_21_1","volume-title":"Factorization Machines. In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM). 995--1000","author":"Rendle Steffen","year":"2010","unstructured":"Steffen Rendle . 2010 . Factorization Machines. In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM). 995--1000 . Steffen Rendle. 2010. Factorization Machines. In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM). 995--1000."},{"key":"e_1_3_2_2_22_1","volume-title":"Proceedings of International Conference on Learning Representations, (ICLR).","author":"Romero Adriana","year":"2015","unstructured":"Adriana Romero , Nicolas Ballas , Samira~Ebrahimi Kahou , Antoine Chassang , Carlo Gatta , and Yoshua Bengio . 2015 . FitNets: Hints for Thin Deep Nets . In Proceedings of International Conference on Learning Representations, (ICLR). Adriana Romero, Nicolas Ballas, Samira~Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio. 2015. FitNets: Hints for Thin Deep Nets. In Proceedings of International Conference on Learning Representations, (ICLR)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014886"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357925"},{"key":"e_1_3_2_2_25_1","volume-title":"Multilingual Neural Machine Translation with Knowledge Distillation. In 7th International Conference on Learning Representations (ICLR).","author":"Tan Xu","year":"2019","unstructured":"Xu Tan , Yi Ren , Di He , Tao Qin , Zhou Zhao , and Tie-Yan Liu . 2019 . Multilingual Neural Machine Translation with Knowledge Distillation. In 7th International Conference on Learning Representations (ICLR). Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, and Tie-Yan Liu. 2019. Multilingual Neural Machine Translation with Knowledge Distillation. In 7th International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3124749.3124754"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00128"},{"key":"e_1_3_2_2_28_1","volume-title":"Privileged Features Distillation for E-Commerce Recommendations. CoRR","author":"Xu Chen","year":"2019","unstructured":"Chen Xu , Quan Li , Junfeng Ge , Jinyang Gao , Xiaoyong Yang , Changhua Pei , Hanxiao Sun , and Wenwu Ou. 2019. Privileged Features Distillation for E-Commerce Recommendations. CoRR , Vol. abs\/ 1907 .05171 ( 2019 ). Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Hanxiao Sun, and Wenwu Ou. 2019. Privileged Features Distillation for E-Commerce Recommendations. CoRR, Vol. abs\/1907.05171 (2019)."},{"key":"e_1_3_2_2_29_1","volume-title":"Network Minimization and Transfer Learning. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Yim Junho","year":"2017","unstructured":"Junho Yim , Donggyu Joo , Jihoon Bae , and Junmo Kim . 2017 . A Gift from Knowledge Distillation: Fast Optimization , Network Minimization and Transfer Learning. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Junho Yim, Donggyu Joo, Jihoon Bae, and Junmo Kim. 2017. A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_30_1","volume-title":"International Conference on Learning Representations, (ICLR)","author":"Zagoruyko Sergey","year":"2017","unstructured":"Sergey Zagoruyko and Nikos Komodakis . 2017 . Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer . In International Conference on Learning Representations, (ICLR) 2017. Sergey Zagoruyko and Nikos Komodakis. 2017. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. In International Conference on Learning Representations, (ICLR) 2017."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371790"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"}],"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 & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412704","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3412704","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:55Z","timestamp":1750197775000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412704"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":32,"alternative-id":["10.1145\/3340531.3412704","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3412704","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"}}]}}