{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T13:31:59Z","timestamp":1767706319070,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Natural Science Foundation of China","award":["61972328"],"award-info":[{"award-number":["61972328"]}]},{"name":"Alibaba Innovative Research program"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557629","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:22:22Z","timestamp":1665883342000},"page":"4620-4624","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation"],"prefix":"10.1145","author":[{"given":"Guipeng","family":"Xv","sequence":"first","affiliation":[{"name":"Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyi","family":"Liu","sequence":"additional","affiliation":[{"name":"Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Lin","sequence":"additional","affiliation":[{"name":"Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Li","sequence":"additional","affiliation":[{"name":"Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenliang","family":"Li","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhua","family":"Huang","sequence":"additional","affiliation":[{"name":"South China Normal University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"volume-title":"Recommender Systems - The Textbook","author":"Aggarwal Charu C.","key":"e_1_3_2_1_1_1","unstructured":"Charu C. Aggarwal . 2016. Recommender Systems - The Textbook . Springer . Charu C. Aggarwal. 2016. Recommender Systems - The Textbook. Springer."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Chong Chen Min Zhang Yiqun Liu and Shaoping Ma. 2018. Neural Attentional Rating Regression with Review-level Explanations. In WWW. 1583--1592. Chong Chen Min Zhang Yiqun Liu and Shaoping Ma. 2018. Neural Attentional Rating Regression with Review-level Explanations. In WWW. 1583--1592.","DOI":"10.1145\/3178876.3186070"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Jiawei Chen Hande Dong Yang Qiu and Xiangnan He. 2021. AutoDebias: Learning to Debias for Recommendation. In SIGIR. 21--30. Jiawei Chen Hande Dong Yang Qiu and Xiangnan He. 2021. AutoDebias: Learning to Debias for Recommendation. In SIGIR. 21--30.","DOI":"10.1145\/3404835.3462919"},{"key":"e_1_3_2_1_4_1","volume-title":"Bias and Debias in Recommender System: A Survey and Future Directions. arXiv Preprint","author":"Chen Jiawei","year":"2020","unstructured":"Jiawei Chen , Hande Dong , Xiang Wang , Fuli Feng , Meng Wang , and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey and Future Directions. arXiv Preprint ( 2020 ). https:\/\/arxiv.org\/abs\/2010.03240 Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey and Future Directions. arXiv Preprint (2020). https:\/\/arxiv.org\/abs\/2010.03240"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3281659"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45014-9_1"},{"key":"e_1_3_2_1_7_1","first-page":"1126","article-title":"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks","volume":"70","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn , Pieter Abbeel , and Sergey Levine . 2017 . Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks . In ICML , Vol. 70. 1126 -- 1135 . Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. In ICML, Vol. 70. 1126--1135.","journal-title":"ICML"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"e_1_3_2_1_9_1","unstructured":"Huifeng Guo Jinkai Yu Qing Liu Ruiming Tang and Yuzhou Zhang. 2019. PAL: a position-bias aware learning framework for CTR prediction in live recommender systems. In RecSys. 452--456. Huifeng Guo Jinkai Yu Qing Liu Ruiming Tang and Yuzhou Zhang. 2019. PAL: a position-bias aware learning framework for CTR prediction in live recommender systems. In RecSys. 452--456."},{"key":"e_1_3_2_1_10_1","volume-title":"Distilling the Knowledge in a Neural Network. arXiv Preprint","author":"Hinton Geoffrey E.","year":"2015","unstructured":"Geoffrey E. Hinton , Oriol Vinyals , and Jeffrey Dean . 2015. Distilling the Knowledge in a Neural Network. arXiv Preprint ( 2015 ). https:\/\/arxiv.org\/abs\/1503.02531 Geoffrey E. Hinton, Oriol Vinyals, and Jeffrey Dean. 2015. Distilling the Knowledge in a Neural Network. arXiv Preprint (2015). https:\/\/arxiv.org\/abs\/1503.02531"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Dongmin Hyun Chanyoung Park Min-Chul Yang Ilhyeon Song Jung-Tae Lee and Hwanjo Yu. 2018. Review Sentiment-Guided Scalable Deep Recommender System. In SIGIR. 965--968. Dongmin Hyun Chanyoung Park Min-Chul Yang Ilhyeon Song Jung-Tae Lee and Hwanjo Yu. 2018. Review Sentiment-Guided Scalable Deep Recommender System. In SIGIR. 965--968.","DOI":"10.1145\/3209978.3210111"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Wonbin Kweon SeongKu Kang and Hwanjo Yu. 2021. Bidirectional Distillation for Top-K Recommender System. In WWW. 3861--3871. Wonbin Kweon SeongKu Kang and Hwanjo Yu. 2021. Bidirectional Distillation for Top-K Recommender System. In WWW. 3861--3871.","DOI":"10.1145\/3442381.3449878"},{"key":"e_1_3_2_1_14_1","unstructured":"Jae-woong Lee Minjin Choi Jongwuk Lee and Hyunjung Shim. 2019. Collaborative Distillation for Top-N Recommendation. In ICDM. 369--378. Jae-woong Lee Minjin Choi Jongwuk Lee and Hyunjung Shim. 2019. Collaborative Distillation for Top-N Recommendation. In ICDM. 369--378."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Ruirui Li Xian Wu Xiusi Chen and Wei Wang. 2020. Few-Shot Learning for New User Recommendation in Location-based Social Networks. In WWW. 2472--2478. Ruirui Li Xian Wu Xiusi Chen and Wei Wang. 2020. Few-Shot Learning for New User Recommendation in Location-based Social Networks. In WWW. 2472--2478.","DOI":"10.1145\/3366423.3379994"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Chen Lin Xinyi Liu Guipeng Xv and Hui Li. 2021. Mitigating Sentiment Bias for Recommender Systems. In SIGIR. 31--40. Chen Lin Xinyi Liu Guipeng Xv and Hui Li. 2021. Mitigating Sentiment Bias for Recommender Systems. In SIGIR. 31--40.","DOI":"10.1145\/3404835.3462943"},{"key":"e_1_3_2_1_17_1","volume-title":"DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. In KDD. 344--352.","author":"Liu Donghua","year":"2019","unstructured":"Donghua Liu , Jing Li , Bo Du , Jun Chang , and Rong Gao . 2019 . DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. In KDD. 344--352. Donghua Liu, Jing Li, Bo Du, Jun Chang, and Rong Gao. 2019. DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. In KDD. 344--352."},{"key":"e_1_3_2_1_18_1","unstructured":"Yiming Liu Xuezhi Cao and Yong Yu. 2016. Are You Influenced by Others When Rating?: Improve Rating Prediction by Conformity Modeling. In RecSys. 269--272. Yiming Liu Xuezhi Cao and Yong Yu. 2016. Are You Influenced by Others When Rating?: Improve Rating Prediction by Conformity Modeling. In RecSys. 269--272."},{"key":"e_1_3_2_1_19_1","unstructured":"Benjamin M. Marlin Richard S. Zemel Sam T. Roweis and Malcolm Slaney. 2007. Collaborative Filtering and the Missing at Random Assumption. In UAI. 267--275. Benjamin M. Marlin Richard S. Zemel Sam T. Roweis and Malcolm Slaney. 2007. Collaborative Filtering and the Missing at Random Assumption. In UAI. 267--275."},{"key":"e_1_3_2_1_20_1","volume-title":"McAuley and Jure Leskovec","author":"Julian","year":"2013","unstructured":"Julian J. McAuley and Jure Leskovec . 2013 . Hidden factors and hidden topics: understanding rating dimensions with review text. In RecSys . 165--172. Julian J. McAuley and Jure Leskovec. 2013. Hidden factors and hidden topics: understanding rating dimensions with review text. In RecSys. 165--172."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Julian J. McAuley Rahul Pandey and Jure Leskovec. 2015. Inferring Networks of Substitutable and Complementary Products. In KDD. 785--794. Julian J. McAuley Rahul Pandey and Jure Leskovec. 2015. Inferring Networks of Substitutable and Complementary Products. In KDD. 785--794.","DOI":"10.1145\/2783258.2783381"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.annals.2014.10.007"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Peijie Sun Le Wu Kun Zhang Yanjie Fu Richang Hong and Meng Wang. 2020. Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. In WWW. 837--847. Peijie Sun Le Wu Kun Zhang Yanjie Fu Richang Hong and Meng Wang. 2020. Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. In WWW. 837--847.","DOI":"10.1145\/3366423.3380164"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220021"},{"key":"e_1_3_2_1_25_1","volume-title":"Anh Tuan Luu, and Siu Cheung Hui","author":"Tay Yi","year":"2018","unstructured":"Yi Tay , Anh Tuan Luu, and Siu Cheung Hui . 2018 . Multi-Pointer Co-Attention Networks for Recommendation. In KDD. 2309--2318. Yi Tay, Anh Tuan Luu, and Siu Cheung Hui. 2018. Multi-Pointer Co-Attention Networks for Recommendation. In KDD. 2309--2318."},{"key":"e_1_3_2_1_26_1","volume-title":"Lauw","author":"Truong Quoc-Tuan","year":"2019","unstructured":"Quoc-Tuan Truong and Hady W . Lauw . 2019 . Multimodal Review Generation for Recommender Systems. In WWW. 1864--1874. Quoc-Tuan Truong and Hady W. Lauw. 2019. Multimodal Review Generation for Recommender Systems. In WWW. 1864--1874."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Hongning Wang Yue Lu and ChengXiang Zhai. 2011. Latent aspect rating analysis without aspect keyword supervision. In KDD. 618--626. Hongning Wang Yue Lu and ChengXiang Zhai. 2011. Latent aspect rating analysis without aspect keyword supervision. In KDD. 618--626.","DOI":"10.1145\/2020408.2020505"},{"key":"e_1_3_2_1_28_1","volume-title":"KDGAN: Knowledge Distillation with Generative Adversarial Networks. In NeurIPS. 783--794.","author":"Wang Xiaojie","year":"2018","unstructured":"Xiaojie Wang , Rui Zhang , Yu Sun , and Jianzhong Qi . 2018 . KDGAN: Knowledge Distillation with Generative Adversarial Networks. In NeurIPS. 783--794. Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi. 2018. KDGAN: Knowledge Distillation with Generative Adversarial Networks. In NeurIPS. 783--794."},{"key":"e_1_3_2_1_29_1","volume-title":"Blei","author":"Wang Yixin","year":"2020","unstructured":"Yixin Wang , Dawen Liang , Laurent Charlin , and David M . Blei . 2020 . Causal Inference for Recommender Systems. In RecSys . 426--431. Yixin Wang, Dawen Liang, Laurent Charlin, and David M. Blei. 2020. Causal Inference for Recommender Systems. In RecSys. 426--431."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Jae woong Lee Seongmin Park and Jongwuk Lee. 2021. Dual Unbiased Recommender Learning for Implicit Feedback. In SIGIR. 1647--1651. Jae woong Lee Seongmin Park and Jongwuk Lee. 2021. Dual Unbiased Recommender Learning for Implicit Feedback. In SIGIR. 1647--1651.","DOI":"10.1145\/3404835.3463118"},{"key":"e_1_3_2_1_31_1","volume-title":"A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. arXiv Preprint","author":"Wu Le","year":"2021","unstructured":"Le Wu , Xiangnan He , Xiang Wang , Kun Zhang , and Meng Wang . 2021. A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. arXiv Preprint ( 2021 ). https:\/\/arxiv.org\/abs\/2104.13030 Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, and Meng Wang. 2021. A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. arXiv Preprint (2021). https:\/\/arxiv.org\/abs\/2104.13030"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Yang Zhang Fuli Feng Xiangnan He Tianxin Wei Chonggang Song Guohui Ling and Yongdong Zhang. 2021. Causal Intervention for Leveraging Popularity Bias in Recommendation. In SIGIR. 11--20. Yang Zhang Fuli Feng Xiangnan He Tianxin Wei Chonggang Song Guohui Ling and Yongdong Zhang. 2021. Causal Intervention for Leveraging Popularity Bias in Recommendation. In SIGIR. 11--20.","DOI":"10.1145\/3404835.3462875"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Yuan Zhang Xiaoran Xu Hanning Zhou and Yan Zhang. 2020. Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. In WSDM. 735--743. Yuan Zhang Xiaoran Xu Hanning Zhou and Yan Zhang. 2020. Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. In WSDM. 735--743.","DOI":"10.1145\/3336191.3371790"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.5555\/1574514.1574517"},{"key":"e_1_3_2_1_35_1","volume-title":"Yu","author":"Zheng Lei","year":"2017","unstructured":"Lei Zheng , Vahid Noroozi , and Philip S . Yu . 2017 . Joint Deep Modeling of Users and Items Using Reviews for Recommendation. In WSDM. 425--434. Lei Zheng, Vahid Noroozi, and Philip S. Yu. 2017. Joint Deep Modeling of Users and Items Using Reviews for Recommendation. In WSDM. 425--434."},{"key":"e_1_3_2_1_36_1","volume-title":"Felipe P\u00e9 rez, and Maksims Volkovs","author":"Zhou Jin Peng","year":"2020","unstructured":"Jin Peng Zhou , Zhaoyue Cheng , Felipe P\u00e9 rez, and Maksims Volkovs . 2020 . TAFA : Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. In RecSys . 338--347. Jin Peng Zhou, Zhaoyue Cheng, Felipe P\u00e9 rez, and Maksims Volkovs. 2020. TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. In RecSys. 338--347."},{"key":"e_1_3_2_1_37_1","unstructured":"Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen and Zibin Zheng. 2020. Ensembled CTR Prediction via Knowledge Distillation. 2941--2958. Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen and Zibin Zheng. 2020. Ensembled CTR Prediction via Knowledge Distillation. 2941--2958."}],"event":{"name":"CIKM '22: The 31st ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Atlanta GA USA","acronym":"CIKM '22"},"container-title":["Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557629","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557629","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:09Z","timestamp":1750182669000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557629"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":37,"alternative-id":["10.1145\/3511808.3557629","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557629","relation":{},"subject":[],"published":{"date-parts":[[2022,10,17]]},"assertion":[{"value":"2022-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}