{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T10:01:01Z","timestamp":1775815261105,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61822113, 41871243"],"award-info":[{"award-number":["61822113, 41871243"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"publisher","award":["2018CFA050"],"award-info":[{"award-number":["2018CFA050"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program of China","award":["2018YFA0605501"],"award-info":[{"award-number":["2018YFA0605501"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,25]]},"DOI":"10.1145\/3292500.3330906","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"344-352","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":153,"title":["DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation"],"prefix":"10.1145","author":[{"given":"Donghua","family":"Liu","sequence":"first","affiliation":[{"name":"Wuhan University, Wuhan, China"}]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}]},{"given":"Bo","family":"Du","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}]},{"given":"Jun","family":"Chang","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}]},{"given":"Rong","family":"Gao","sequence":"additional","affiliation":[{"name":"Hubei University of Technology, Wuhan, China"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Jordan","author":"Blei David M.","year":"2003","unstructured":"David M. Blei , Andrew Y. Ng , and Michael I . Jordan . 2003 . Latent Dirichlet Allocation. J. Mach. Learn. Res . 3 (Jan. 2003), 993--1022. David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet Allocation. J. Mach. Learn. Res. 3 (Jan. 2003), 993--1022."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186070"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 27th International Joint Conference on Artificial Intelligence. AAAI Press, 3748--3754","author":"Cheng Zhiyong","year":"2018","unstructured":"Zhiyong Cheng , Ying Ding , Xiangnan He , Lei Zhu , Xuemeng Song , and Mohan Kankanhalli . 2018 . A3NCF: An Adaptive Aspect Attention Model for Rating Prediction . In Proceedings of the 27th International Joint Conference on Artificial Intelligence. AAAI Press, 3748--3754 . Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, and Mohan Kankanhalli. 2018. A3NCF: An Adaptive Aspect Attention Model for Rating Prediction. In Proceedings of the 27th International Joint Conference on Artificial Intelligence. AAAI Press, 3748--3754."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186145"},{"key":"e_1_3_2_1_5_1","volume-title":"Natural Language Processing (Almost) from Scratch. J. Mach. Learn. Res. 12 (Nov","author":"Collobert Ronan","year":"2011","unstructured":"Ronan Collobert , JasonWeston, L\u00e9on Bottou , Michael Karlen , Koray Kavukcuoglu , and Pavel Kuksa . 2011. Natural Language Processing (Almost) from Scratch. J. Mach. Learn. Res. 12 (Nov . 2011 ), 2493--2537. Ronan Collobert, JasonWeston, L\u00e9on Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural Language Processing (Almost) from Scratch. J. Mach. Learn. Res. 12 (Nov. 2011), 2493--2537."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959165"},{"key":"e_1_3_2_1_10_1","volume-title":"Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_11_1","article-title":"Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions","volume":"18","author":"Liu Weiwei","year":"2017","unstructured":"Weiwei Liu and Ivor W. Tsang . 2017 . Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions . Journal of Machine Learning Research 18 (2017), 81:1--81:36. Weiwei Liu and IvorW. Tsang. 2017. Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions. Journal of Machine Learning Research 18 (2017), 81:1--81:36.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_12_1","article-title":"An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels","volume":"18","author":"Liu Weiwei","year":"2017","unstructured":"Weiwei Liu , Ivor W. Tsang , and Klaus-Robert M\u00fcller . 2017 . An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels . Journal of Machine Learning Research 18 (2017), 94:1--94:38. Weiwei Liu, Ivor W. Tsang, and Klaus-Robert M\u00fcller. 2017. An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels. Journal of Machine Learning Research 18 (2017), 94:1--94:38.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2794976"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186158"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 20th International Conference on Neural Information Processing Systems. Curran Associates Inc., 1257--1264","author":"Salakhutdinov Ruslan","year":"2007","unstructured":"Ruslan Salakhutdinov and Andriy Mnih . 2007 . Probabilistic Matrix Factorization . In Proceedings of the 20th International Conference on Neural Information Processing Systems. Curran Associates Inc., 1257--1264 . Ruslan Salakhutdinov and Andriy Mnih. 2007. Probabilistic Matrix Factorization. In Proceedings of the 20th International Conference on Neural Information Processing Systems. Curran Associates Inc., 1257--1264."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109890"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939704"},{"key":"e_1_3_2_1_20_1","first-page":"1","article-title":"Dropout: A Simple Way to Prevent Neural Networks from Overfitting","volume":"15","author":"Srivastava Nitish","year":"2014","unstructured":"Nitish Srivastava , Geoffrey Hinton , Alex Krizhevsky , Ilya Sutskever , and Ruslan Salakhutdinov . 2014 . Dropout: A Simple Way to Prevent Neural Networks from Overfitting . J. Mach. Learn. Res. 15 , 1 (Jan. 2014), 1929--1958. Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: A Simple Way to Prevent Neural Networks from Overfitting. J. Mach. Learn. Res. 15, 1 (Jan. 2014), 1929--1958.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_21_1","volume-title":"Advances in Neural Information Processing Systems 25. Curran Associates","author":"Srivastava Nitish","unstructured":"Nitish Srivastava and Ruslan R Salakhutdinov . 2012. Multimodal Learning with Deep Boltzmann Machines . In Advances in Neural Information Processing Systems 25. Curran Associates , Inc ., 2222--2230. Nitish Srivastava and Ruslan R Salakhutdinov. 2012. Multimodal Learning with Deep Boltzmann Machines. In Advances in Neural Information Processing Systems 25. Curran Associates, Inc., 2222--2230."},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. 2640-- 2646","author":"Tan Yunzhi","year":"2016","unstructured":"Yunzhi Tan , Min Zhang , Yiqun Liu , and Shaoping Ma . 2016 . Rating-boosted Latent Topics: Understanding Users and Items with Ratings and Reviews . In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. 2640-- 2646 . Yunzhi Tan, Min Zhang, Yiqun Liu, and Shaoping Ma. 2016. Rating-boosted Latent Topics: Understanding Users and Items with Ratings and Reviews. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. 2640-- 2646."},{"key":"e_1_3_2_1_23_1","volume-title":"CANE: Context- Aware Network Embedding for Relation Modeling. 1722--1731.","author":"Tu Cunchao","year":"2017","unstructured":"Cunchao Tu , Han Liu , Zhiyuan Liu , and Maosong Sun . 2017 . CANE: Context- Aware Network Embedding for Relation Modeling. 1722--1731. Cunchao Tu, Han Liu, Zhiyuan Liu, and Maosong Sun. 2017. CANE: Context- Aware Network Embedding for Relation Modeling. 1722--1731."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020480"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783273"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298988"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.5555\/3172077.3172324"},{"key":"e_1_3_2_1_28_1","volume-title":"ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Transactions of the Association for Computational Linguistics 4 (12","author":"Yin Wenpeng","year":"2015","unstructured":"Wenpeng Yin , Hinrich Sch\u00fctze , Bing Xiang , and Bowen Zhou . 2015 . ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Transactions of the Association for Computational Linguistics 4 (12 2015). Wenpeng Yin, Hinrich Sch\u00fctze, Bing Xiang, and Bowen Zhou. 2015. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Transactions of the Association for Computational Linguistics 4 (12 2015)."},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. AAAI Press, 2986--2992","author":"Zhang Wei","year":"2016","unstructured":"Wei Zhang , Quan Yuan , Jiawei Han , and Jianyong Wang . 2016 . Collaborative Multi-level Embedding Learning from Reviews for Rating Prediction . In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. AAAI Press, 2986--2992 . Wei Zhang, Quan Yuan, Jiawei Han, and Jianyong Wang. 2016. Collaborative Multi-level Embedding Learning from Reviews for Rating Prediction. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. AAAI Press, 2986--2992."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018665"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2015.2465959"}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA","acronym":"KDD '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330906","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330906","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:03Z","timestamp":1750206363000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330906"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":31,"alternative-id":["10.1145\/3292500.3330906","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330906","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}