{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T17:38:35Z","timestamp":1763141915253,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":45,"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"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557341","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:22:22Z","timestamp":1665883342000},"page":"2199-2209","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation"],"prefix":"10.1145","author":[{"given":"Yuexin","family":"Wu","sequence":"first","affiliation":[{"name":"University of Memphis, Memphis, TN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolei","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Memphis, Memphis, TN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018741"},{"key":"e_1_3_2_2_2_1","first-page":"45","article-title":"Guinness","volume":"2","author":"Box Joan Fisher","year":"1987","unstructured":"Joan Fisher Box . 1987 . Guinness , Gosset, Fisher, and Small Samples. Statist. Sci. 2 , 1 (1987), 45 -- 52 . http:\/\/www.jstor.org\/stable\/2245613 Joan Fisher Box. 1987. Guinness, Gosset, Fisher, and Small Samples. Statist. Sci. 2, 1 (1987), 45--52. http:\/\/www.jstor.org\/stable\/2245613","journal-title":"Gosset, Fisher, and Small Samples. Statist. Sci."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186070"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271810"},{"key":"e_1_3_2_2_5_1","volume-title":"Class- Balanced Loss Based on Effective Number of Samples. In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Unite State, 9260--9269","author":"Cui Yin","year":"2019","unstructured":"Yin Cui , Menglin Jia , Tsung-Yi Lin , Yang Song , and Serge Belongie . 2019 . Class- Balanced Loss Based on Effective Number of Samples. In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Unite State, 9260--9269 . https:\/\/doi.org\/10.1109\/CVPR.2019.00949 10.1109\/CVPR.2019.00949 Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, and Serge Belongie. 2019. Class- Balanced Loss Based on Effective Number of Samples. In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Unite State, 9260--9269. https:\/\/doi.org\/10.1109\/CVPR.2019.00949"},{"key":"e_1_3_2_2_6_1","volume-title":"Workshop on learning from imbalanced datasets II","volume":"11","author":"Drummond Chris","year":"2003","unstructured":"Chris Drummond , Robert C Holte , 2003 . C4. 5, class imbalance, and cost sensitivity: why under-sampling beats over-sampling . In Workshop on learning from imbalanced datasets II , Vol. 11 . Citeseer, National Research Council Canada, Ottawa, Ontario, Canada, 1--8. Chris Drummond, Robert C Holte, et al. 2003. C4. 5, class imbalance, and cost sensitivity: why under-sampling beats over-sampling. In Workshop on learning from imbalanced datasets II, Vol. 11. Citeseer, National Research Council Canada, Ottawa, Ontario, Canada, 1--8."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.0824-7935.2004.t01-1-00228.x"},{"key":"e_1_3_2_2_8_1","volume-title":"Daniel Jiwoong Im, and Victor O.K. Li","author":"Gu Jiatao","year":"2018","unstructured":"Jiatao Gu , Daniel Jiwoong Im, and Victor O.K. Li . 2018 . Neural Machine Transla- tion with Gumbel-Greedy Decoding. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Symposium on Educational Advances in Artificial Intelligence (AAAI'18\/IAAI'18\/EAAI'18). AAAI Press , New Orleans, Louisiana, USA, Article 628, 8 pages. Jiatao Gu, Daniel Jiwoong Im, and Victor O.K. Li. 2018. Neural Machine Transla- tion with Gumbel-Greedy Decoding. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Symposium on Educational Advances in Artificial Intelligence (AAAI'18\/IAAI'18\/EAAI'18). AAAI Press, New Orleans, Louisiana, USA, Article 628, 8 pages."},{"volume-title":"Annales de l'institut Henri Poincar\u00e9","author":"Gumbel Emil Julius","key":"e_1_3_2_2_9_1","unstructured":"Emil Julius Gumbel . 1935. Les valeurs extr\u00eames des distributions statistiques . In Annales de l'institut Henri Poincar\u00e9 , Vol. 5 . EMS press , New York, NY, USA , 115--158. Emil Julius Gumbel. 1935. Les valeurs extr\u00eames des distributions statistiques. In Annales de l'institut Henri Poincar\u00e9, Vol. 5. EMS press, New York, NY, USA, 115--158."},{"key":"e_1_3_2_2_10_1","volume-title":"Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society","author":"He Kaiming","year":"2016","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2016 . Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society , Washington, DC, USA, 770--778. https:\/\/doi.org\/10.1109\/CVPR. 2016.90 10.1109\/CVPR.2016.90 Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, Washington, DC, USA, 770--778. https:\/\/doi.org\/10.1109\/CVPR.2016.90"},{"key":"#cr-split#-e_1_3_2_2_11_1.1","doi-asserted-by":"crossref","unstructured":"Ruining He and Julian McAuley. 2016. Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. In Proceedings of the 25th International Conference on World Wide Web (Montr\u00e9al Qu\u00e9bec Canada) (WWW '16). International World Wide Web Conferences Steering Committee Republic and Canton of Geneva CHE 507--517. https:\/\/doi.org\/10.1145\/2872427.2883037 10.1145\/2872427.2883037","DOI":"10.1145\/2872427.2883037"},{"key":"#cr-split#-e_1_3_2_2_11_1.2","doi-asserted-by":"crossref","unstructured":"Ruining He and Julian McAuley. 2016. Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. In Proceedings of the 25th International Conference on World Wide Web (Montr\u00e9al Qu\u00e9bec Canada) (WWW '16). International World Wide Web Conferences Steering Committee Republic and Canton of Geneva CHE 507--517. https:\/\/doi.org\/10.1145\/2872427.2883037","DOI":"10.1145\/2872427.2883037"},{"key":"#cr-split#-e_1_3_2_2_12_1.1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural Collaborative Filtering. In Proceedings of the 26th International Conference on World Wide Web (Perth Australia) (WWW '17). International World Wide Web Conferences Steering Committee Republic and Canton of Geneva CHE 173--182. https:\/\/doi.org\/10.1145\/3038912.3052569 10.1145\/3038912.3052569","DOI":"10.1145\/3038912.3052569"},{"key":"#cr-split#-e_1_3_2_2_12_1.2","doi-asserted-by":"crossref","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural Collaborative Filtering. In Proceedings of the 26th International Conference on World Wide Web (Perth Australia) (WWW '17). International World Wide Web Conferences Steering Committee Republic and Canton of Geneva CHE 173--182. https:\/\/doi.org\/10.1145\/3038912.3052569","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_2_13_1","volume-title":"5th International Conference on Learning Representations, ICLR","author":"Jang Eric","year":"2017","unstructured":"Eric Jang , Shixiang Gu , and Ben Poole . 2017. Categorical Reparameterization with Gumbel-Softmax . In 5th International Conference on Learning Representations, ICLR 2017 , Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net, University in Cambridge, England. https:\/\/openreview.net\/ forum?id=rkE3y85ee Eric Jang, Shixiang Gu, and Ben Poole. 2017. Categorical Reparameterization with Gumbel-Softmax. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net, University in Cambridge, England. https:\/\/openreview.net\/ forum?id=rkE3y85ee"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_2_16_1","volume-title":"Striking the Right Balance With Uncertainty. In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Unite State, 103--112","author":"Khan Salman","year":"2019","unstructured":"Salman Khan , Munawar Hayat , Syed Waqas Zamir , Jianbing Shen , and Ling Shao . 2019 . Striking the Right Balance With Uncertainty. In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Unite State, 103--112 . https:\/\/doi.org\/10.1109\/CVPR.2019.00019 10.1109\/CVPR.2019.00019 Salman Khan, Munawar Hayat, Syed Waqas Zamir, Jianbing Shen, and Ling Shao. 2019. Striking the Right Balance With Uncertainty. In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Unite State, 103--112. https:\/\/doi.org\/10.1109\/CVPR.2019.00019"},{"key":"e_1_3_2_2_17_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). University of Sheffield , Public university in Amsterdam, Netherlands. http:\/\/arxiv.org\/abs\/1412.6980 Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). University of Sheffield, Public university in Amsterdam, Netherlands. http:\/\/arxiv.org\/abs\/1412.6980"},{"key":"e_1_3_2_2_18_1","volume-title":"Kingma and Max Welling","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Max Welling . 2014 . Auto-Encoding Variational Bayes. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. OpenReview.net, University in Cambridge, England. arXiv:http:\/\/arxiv.org\/abs\/1312.6114v10 [stat.ML] Diederik P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. OpenReview.net, University in Cambridge, England. arXiv:http:\/\/arxiv.org\/abs\/1312.6114v10 [stat.ML]"},{"key":"e_1_3_2_2_19_1","volume-title":"Advances in Neural Information Processing Systems","author":"Kini Ganesh Ramachandra","year":"1897","unstructured":"Ganesh Ramachandra Kini , Orestis Paraskevas , Samet Oymak , and Christos Thrampoulidis . 2021. Label-Imbalanced and Group-Sensitive Classification under Overparameterization . In Advances in Neural Information Processing Systems , M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan (Eds.), Vol. 34 . Curran Associates, Inc., University of California , Santa Barbara , 1897 0--18983. https:\/\/proceedings.neurips.cc\/paper\/2021\/file\/ 9dfcf16f0adbc5e2a55ef02db36bac7f-Paper.pdf Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, and Christos Thrampoulidis. 2021. Label-Imbalanced and Group-Sensitive Classification under Overparameterization. In Advances in Neural Information Processing Systems, M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan (Eds.), Vol. 34. Curran Associates, Inc., University of California, Santa Barbara, 18970--18983. https:\/\/proceedings.neurips.cc\/paper\/2021\/file\/ 9dfcf16f0adbc5e2a55ef02db36bac7f-Paper.pdf"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331216"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330906"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331371"},{"key":"e_1_3_2_2_25_1","first-page":"1","article-title":"Dynamic and Static Representation Learning Network for Recommendation","volume":"08","author":"Liu Tongcun","year":"2022","unstructured":"Tongcun Liu , Siyuan Lou , Jianxin Liao , and Hailin Feng . 2022 . Dynamic and Static Representation Learning Network for Recommendation . IEEE Transactions on Neural Networks and Learning Systems 08 , 55 (2022), 1 -- 11 . https:\/\/doi.org\/10. 1109\/TNNLS.2022.3177611 Tongcun Liu, Siyuan Lou, Jianxin Liao, and Hailin Feng. 2022. Dynamic and Static Representation Learning Network for Recommendation. IEEE Transactions on Neural Networks and Learning Systems 08, 55 (2022), 1--11. https:\/\/doi.org\/10. 1109\/TNNLS.2022.3177611","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6361"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.3115\/1118108.1118117"},{"key":"e_1_3_2_2_28_1","first-page":"5","article-title":"A Class Imbalance-Aware Review Rating Prediction Using Hybrid Sampling and Ensemble Learning","volume":"80","author":"Mahadevan Anbazhagan","year":"2021","unstructured":"Anbazhagan Mahadevan and Michael Arock . 2021 . A Class Imbalance-Aware Review Rating Prediction Using Hybrid Sampling and Ensemble Learning . Mul- timedia Tools Appl. 80 , 5 (feb 2021), 6911--6938. https:\/\/doi.org\/10.1007\/s11042-020-10024-2 10.1007\/s11042-020-10024-2 Anbazhagan Mahadevan and Michael Arock. 2021. A Class Imbalance-Aware Review Rating Prediction Using Hybrid Sampling and Ensemble Learning. Mul- timedia Tools Appl. 80, 5 (feb 2021), 6911--6938. https:\/\/doi.org\/10.1007\/s11042-020-10024-2","journal-title":"Mul- timedia Tools Appl."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_12"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3194952"},{"key":"e_1_3_2_2_32_1","volume-title":"Australia)","author":"Rendle Steffen","year":"2010","unstructured":"Steffen Rendle . 2010. Factorization Machines. In 2010 IEEE International Confer- ence on Data Mining (Sydney , Australia) . IEEE Computer Society, Osaka University , Japan , 995--1000. https:\/\/doi.org\/10.1109\/ICDM. 2010 .127 10.1109\/ICDM.2010.127 Steffen Rendle. 2010. Factorization Machines. In 2010 IEEE International Confer- ence on Data Mining (Sydney, Australia). IEEE Computer Society, Osaka University, Japan, 995--1000. https:\/\/doi.org\/10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.5555\/2981562.2981720"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.5555\/2981562.2981720"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295349"},{"volume-title":"Leveraging Review Properties for Effective Recommendation","author":"Wang Xi","key":"e_1_3_2_2_36_1","unstructured":"Xi Wang , Iadh Ounis , and Craig Macdonald . 2021. Leveraging Review Properties for Effective Recommendation . Association for Computing Machinery , New York, NY, USA , 2209--2219. https:\/\/doi.org\/10.1145\/3442381.3450038 10.1145\/3442381.3450038 Xi Wang, Iadh Ounis, and Craig Macdonald. 2021. Leveraging Review Properties for Effective Recommendation. Association for Computing Machinery, New York, NY, USA, 2209--2219. https:\/\/doi.org\/10.1145\/3442381.3450038"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467223"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482227"},{"key":"e_1_3_2_2_39_1","unstructured":"Yelp. 2019. Yelp Open Dataset. https:\/\/www.yelp.com\/dataset\/challenge Access: 2019-10-26 https:\/\/www.yelp.com\/dataset\/challenge.  Yelp. 2019. Yelp Open Dataset. https:\/\/www.yelp.com\/dataset\/challenge Access: 2019-10-26 https:\/\/www.yelp.com\/dataset\/challenge."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403264"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371810"},{"key":"e_1_3_2_2_42_1","volume-title":"On the Role of Dataset Quality and Heterogeneity in Model Confidence. CoRR abs\/2002.09831","author":"Zhao Yuan","year":"2020","unstructured":"Yuan Zhao , Jiasi Chen , and Samet Oymak . 2020. On the Role of Dataset Quality and Heterogeneity in Model Confidence. CoRR abs\/2002.09831 ( 2020 ). arXiv:2002.09831 https:\/\/arxiv.org\/abs\/2002.09831 Yuan Zhao, Jiasi Chen, and Samet Oymak. 2020. On the Role of Dataset Quality and Heterogeneity in Model Confidence. CoRR abs\/2002.09831 (2020). arXiv:2002.09831 https:\/\/arxiv.org\/abs\/2002.09831"},{"key":"e_1_3_2_2_43_1","volume-title":"Proceedings of the Tenth ACM International Conference on Web Search and Data Mining","author":"Zheng Lei","year":"1866","unstructured":"Lei Zheng , Vahid Noroozi , and Philip S. Yu . 2017. Joint Deep Modeling of Users and Items Using Reviews for Recommendation . In Proceedings of the Tenth ACM International Conference on Web Search and Data Mining ( Cambridge, United Kingdom) (WSDM '17). ACM, New York, NY, USA, 425--434. https:\/\/doi.org\/10. 1145\/30 1866 1.3018665 Lei Zheng, Vahid Noroozi, and Philip S. Yu. 2017. Joint Deep Modeling of Users and Items Using Reviews for Recommendation. In Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (Cambridge, United Kingdom) (WSDM '17). ACM, New York, NY, USA, 425--434. https:\/\/doi.org\/10. 1145\/3018661.3018665"}],"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\/3511808.3557341","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557341","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:29Z","timestamp":1750182569000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557341"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":45,"alternative-id":["10.1145\/3511808.3557341","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557341","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"}}]}}