{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T23:59:33Z","timestamp":1776470373341,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,1,20]],"date-time":"2020-01-20T00:00:00Z","timestamp":1579478400000},"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":[[2020,1,20]]},"DOI":"10.1145\/3336191.3371827","type":"proceedings-article","created":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T19:08:16Z","timestamp":1579720096000},"page":"223-231","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":83,"title":["Hierarchical User Profiling for E-commerce Recommender Systems"],"prefix":"10.1145","author":[{"given":"Yulong","family":"Gu","sequence":"first","affiliation":[{"name":"JD.com, Beijing, China"}]},{"given":"Zhuoye","family":"Ding","sequence":"additional","affiliation":[{"name":"JD.com, Beijing, China"}]},{"given":"Shuaiqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"JD.com, Beijing, China"}]},{"given":"Dawei","family":"Yin","sequence":"additional","affiliation":[{"name":"JD.com, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2020,1,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"e_1_3_2_1_2_1","volume-title":"Neural Machine Translation by Jointly Learning to Align and Translate. arXiv","author":"Bahdanau Dzmitry","year":"2014","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural Machine Translation by Jointly Learning to Align and Translate. arXiv ( 2014 ). arXiv:1409.0473 Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. arXiv (2014). arXiv:1409.0473"},{"key":"e_1_3_2_1_3_1","volume-title":"Pan Du, Weidong Liu, Jian-Yun Nie, and Ji-Rong Wen.","author":"Bai Ting","year":"2019","unstructured":"Ting Bai , Lixin Zou , Wayne Xin Zhao , Pan Du, Weidong Liu, Jian-Yun Nie, and Ji-Rong Wen. 2019 . CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. In SIGIR. 675--684. Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, and Ji-Rong Wen. 2019. CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. In SIGIR. 675--684."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Shiyu Chang Yang Zhang Jiliang Tang Dawei Yin Yi Chang Mark A HasegawaJohnson and Thomas S Huang. 2017. Streaming recommender systems. In WWW. 381--389.  Shiyu Chang Yang Zhang Jiliang Tang Dawei Yin Yi Chang Mark A HasegawaJohnson and Thomas S Huang. 2017. Streaming recommender systems. In WWW. 381--389.","DOI":"10.1145\/3038912.3052627"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Weijian Chen Yulong Gu Zhaochun Ren Xiangnan He Hongtao Xie Tong Guo Dawei Yin and Yongdong Zhang. 2019. Semi-supervised user profiling with heterogeneous graph attention networks. In IJCAI. 2116--2122.  Weijian Chen Yulong Gu Zhaochun Ren Xiangnan He Hongtao Xie Tong Guo Dawei Yin and Yongdong Zhang. 2019. Semi-supervised user profiling with heterogeneous graph attention networks. In IJCAI. 2116--2122.","DOI":"10.24963\/ijcai.2019\/293"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Paolo Cremonesi Yehuda Koren and Roberto Turrin. 2010. Performance of Recommender Algorithms on Top-N Recommendation Tasks. In RecSys. 39--46.  Paolo Cremonesi Yehuda Koren and Roberto Turrin. 2010. Performance of Recommender Algorithms on Top-N Recommendation Tasks. In RecSys. 39--46.","DOI":"10.1145\/1864708.1864721"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/963770.963776"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Li Gao Jia Wu Chuan Zhou and Yue Hu. 2017. Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. In AAAI. 1316--1322.  Li Gao Jia Wu Chuan Zhou and Yue Hu. 2017. Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. In AAAI. 1316--1322.","DOI":"10.1609\/aaai.v31i1.10726"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Alex Graves Abdel-rahman Mohamed and Geoffrey Hinton. 2013. Speech Recognition with Deep Recurrent Neural Networks. In ICASSP. 6645--6649.  Alex Graves Abdel-rahman Mohamed and Geoffrey Hinton. 2013. Speech Recognition with Deep Recurrent Neural Networks. In ICASSP. 6645--6649.","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Mihajlo Grbovic Vladan Radosavljevic Nemanja Djuric Narayan Bhamidipati Jaikit Savla Varun Bhagwan and Doug Sharp. 2015. E-commerce in Your Inbox: Product Recommendations at Scale. In KDD. 1809--1818.  Mihajlo Grbovic Vladan Radosavljevic Nemanja Djuric Narayan Bhamidipati Jaikit Savla Varun Bhagwan and Doug Sharp. 2015. E-commerce in Your Inbox: Product Recommendations at Scale. In KDD. 1809--1818.","DOI":"10.1145\/2783258.2788627"},{"key":"e_1_3_2_1_11_1","volume-title":"HLGPS: A Home Location Global Positioning System in Location-Based Social Networks. In ICDM. 901--906.","author":"Gu Yulong","year":"2016","unstructured":"Yulong Gu , Jiaxing Song , Weidong Liu , and Lixin Zou . 2016 . HLGPS: A Home Location Global Positioning System in Location-Based Social Networks. In ICDM. 901--906. Yulong Gu, Jiaxing Song, Weidong Liu, and Lixin Zou. 2016. HLGPS: A Home Location Global Positioning System in Location-Based Social Networks. In ICDM. 901--906."},{"key":"e_1_3_2_1_12_1","volume-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","author":"He Kaiming","year":"2015","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2015. Spatial pyramid pooling in deep convolutional networks for visual recognition . IEEE transactions on pattern analysis and machine intelligence 37, 9 ( 2015 ), 1904--1916. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015. Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE transactions on pattern analysis and machine intelligence 37, 9 (2015), 1904--1916."},{"key":"e_1_3_2_1_13_1","unstructured":"Xiangnan He Hanwang Zhang Min-Yen Kan and Tat-Seng Chua. 2016. Fast Matrix Factorization for Online Recommendation with Implicit Feedback. In SIGIR. 549--558.  Xiangnan He Hanwang Zhang Min-Yen Kan and Tat-Seng Chua. 2016. Fast Matrix Factorization for Online Recommendation with Implicit Feedback. In SIGIR. 549--558."},{"key":"e_1_3_2_1_14_1","volume-title":"Session-based Recommendations with Recurrent Neural Networks. arXiv","author":"Hidasi Bal\u00e1zs","year":"2015","unstructured":"Bal\u00e1zs Hidasi , Alexandros Karatzoglou , Linas Baltrunas , and Domonkos Tikk . 2015. Session-based Recommendations with Recurrent Neural Networks. arXiv ( 2015 ). arXiv:1511.06939 Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based Recommendations with Recurrent Neural Networks. arXiv (2015). arXiv:1511.06939"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Bal\u00e1zs Hidasi Massimo Quadrana Alexandros Karatzoglou and Domonkos Tikk. 2016. Parallel Recurrent Neural Network Architectures for Feature-rich Sessionbased Recommendations. In RecSys. 241--248.  Bal\u00e1zs Hidasi Massimo Quadrana Alexandros Karatzoglou and Domonkos Tikk. 2016. Parallel Recurrent Neural Network Architectures for Feature-rich Sessionbased Recommendations. In RecSys. 241--248.","DOI":"10.1145\/2959100.2959167"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Chao Huang Xian Wu Xuchao Zhang Chuxu Zhang Jiashu Zhao Dawei Yin and Nitesh V Chawla. 2019. Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. In KDD. 2613--2622.  Chao Huang Xian Wu Xuchao Zhang Chuxu Zhang Jiashu Zhao Dawei Yin and Nitesh V Chawla. 2019. Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. In KDD. 2613--2622.","DOI":"10.1145\/3292500.3330790"},{"key":"e_1_3_2_1_17_1","volume-title":"Gaole He, Ji-Rong Wen, and Daxiang Dong.","author":"Huang Jin","year":"2019","unstructured":"Jin Huang , Zhaochun Ren , Wayne Xin Zhao , Gaole He, Ji-Rong Wen, and Daxiang Dong. 2019 . Taxonomy-aware multi-hop reasoning networks for sequential recommendation. In WSDM. 573--581. Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, and Daxiang Dong. 2019. Taxonomy-aware multi-hop reasoning networks for sequential recommendation. In WSDM. 573--581."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Gabriella Kazai Iskander Yusof and Daoud Clarke. 2016. Personalised News and Blog Recommendations based on User Location Facebook and Twitter User Profiling. In SIGIR. 1129--1132.  Gabriella Kazai Iskander Yusof and Daoud Clarke. 2016. Personalised News and Blog Recommendations based on User Location Facebook and Twitter User Profiling. In SIGIR. 1129--1132.","DOI":"10.1145\/2911451.2911464"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren. 2009. Collaborative Filtering with Temporal Dynamics. In KDD. 447--456.  Yehuda Koren. 2009. Collaborative Filtering with Temporal Dynamics. In KDD. 447--456.","DOI":"10.1145\/1557019.1557072"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_21_1","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet Classification with Deep Convolutional Neural Networks. In NIPS. 1097--1105.  Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet Classification with Deep Convolutional Neural Networks. In NIPS. 1097--1105."},{"key":"e_1_3_2_1_22_1","unstructured":"Jing Li Pengjie Ren Zhumin Chen Zhaochun Ren Tao Lian and Jun Ma. 2017. Neural Attentive Session-based Recommendation. In CIKM. 1419--1428.  Jing Li Pengjie Ren Zhumin Chen Zhaochun Ren Tao Lian and Jun Ma. 2017. Neural Attentive Session-based Recommendation. In CIKM. 1419--1428."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2003.1167344"},{"key":"e_1_3_2_1_24_1","volume-title":"Yong Li, Jie Jiang, and Qiang Yang.","author":"Lu Zhongqi","year":"2016","unstructured":"Zhongqi Lu , Sinno Jialin Pan , Yong Li, Jie Jiang, and Qiang Yang. 2016 . Collaborative Evolution for User Profiling in Recommender Systems. In IJCAI. 3804--3810. Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, and Qiang Yang. 2016. Collaborative Evolution for User Profiling in Recommender Systems. In IJCAI. 3804--3810."},{"key":"e_1_3_2_1_25_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed Representations of Words and Phrases and Their Compositionality. In NIPS. 3111--3119.  Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed Representations of Words and Phrases and Their Compositionality. In NIPS. 3111--3119."},{"key":"e_1_3_2_1_26_1","volume-title":"Pazzani and Daniel Billsus","author":"Michael","year":"2007","unstructured":"Michael J. Pazzani and Daniel Billsus . 2007 . The Adaptive Web. Springer-Verlag , Berlin, Heidelberg, Chapter Content-based Recommendation Systems, 325--341. Michael J. Pazzani and Daniel Billsus. 2007. The Adaptive Web. Springer-Verlag, Berlin, Heidelberg, Chapter Content-based Recommendation Systems, 325--341."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Massimo Quadrana Alexandros Karatzoglou Bal\u00e1zs Hidasi and Paolo Cremonesi. 2017. Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. In RecSys. 130--137.  Massimo Quadrana Alexandros Karatzoglou Bal\u00e1zs Hidasi and Paolo Cremonesi. 2017. Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. In RecSys. 130--137.","DOI":"10.1145\/3109859.3109896"},{"key":"e_1_3_2_1_28_1","volume-title":"BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI. 452-- 461.","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle , Christoph Freudenthaler , Zeno Gantner , and Lars Schmidt-Thieme . 2009 . BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI. 452-- 461. Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI. 452-- 461."},{"key":"e_1_3_2_1_29_1","unstructured":"Yong Kiam Tan Xinxing Xu and Yong Liu. 2016. Improved Recurrent Neural Networks for Session-based Recommendations. In RecSys. 17--22.  Yong Kiam Tan Xinxing Xu and Yong Liu. 2016. Improved Recurrent Neural Networks for Session-based Recommendations. In RecSys. 17--22."},{"key":"e_1_3_2_1_30_1","unstructured":"Mengting Wan and Julian McAuley. 2018. Item Recommendation on Monotonic Behavior Chains. In RecSys. ACM 86--94.  Mengting Wan and Julian McAuley. 2018. Item Recommendation on Monotonic Behavior Chains. In RecSys. ACM 86--94."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Zihan Wang Ziheng Jiang Zhaochun Ren Jiliang Tang and Dawei Yin. 2018. A path-constrained framework for discriminating substitutable and complementary products in e-commerce. In WSDM. 619--627.  Zihan Wang Ziheng Jiang Zhaochun Ren Jiliang Tang and Dawei Yin. 2018. A path-constrained framework for discriminating substitutable and complementary products in e-commerce. In WSDM. 619--627.","DOI":"10.1145\/3159652.3159710"},{"key":"e_1_3_2_1_32_1","unstructured":"Chao-Yuan Wu Amr Ahmed Alex Beutel Alexander J Smola and How Jing. 2017. Recurrent Recommender Networks. In WSDM. 495--503.  Chao-Yuan Wu Amr Ahmed Alex Beutel Alexander J Smola and How Jing. 2017. Recurrent Recommender Networks. In WSDM. 495--503."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.03.006"},{"key":"e_1_3_2_1_34_1","volume-title":"Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator. ACM SIGWEB Newsletter Spring","author":"Zhao Xiangyu","year":"2019","unstructured":"Xiangyu Zhao , Long Xia , Jiliang Tang , and Dawei Yin . 2019. Deep reinforcement learning for search, recommendation, and online advertising: a survey by Xiangyu Zhao , Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator. ACM SIGWEB Newsletter Spring ( 2019 ), 4. Xiangyu Zhao, Long Xia, Jiliang Tang, and Dawei Yin. 2019. Deep reinforcement learning for search, recommendation, and online advertising: a survey by Xiangyu Zhao, Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator. ACM SIGWEB Newsletter Spring (2019), 4."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Xiangyu Zhao Long Xia Liang Zhang Zhuoye Ding Dawei Yin and Jiliang Tang. 2018. Deep reinforcement learning for page-wise recommendations. In RecSys. 95--103.  Xiangyu Zhao Long Xia Liang Zhang Zhuoye Ding Dawei Yin and Jiliang Tang. 2018. Deep reinforcement learning for page-wise recommendations. In RecSys. 95--103.","DOI":"10.1145\/3240323.3240374"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Xiangyu Zhao Long Xia Liang Zhang Zhuoye Ding Dawei Yin and Jiliang Tang. 2018. Deep reinforcement learning for page-wise recommendations. In RecSys. 95--103.  Xiangyu Zhao Long Xia Liang Zhang Zhuoye Ding Dawei Yin and Jiliang Tang. 2018. Deep reinforcement learning for page-wise recommendations. In RecSys. 95--103.","DOI":"10.1145\/3240323.3240374"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Xiangyu Zhao Liang Zhang Zhuoye Ding Long Xia Jiliang Tang and Dawei Yin. 2018. Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. In KDD. 1040--1048.  Xiangyu Zhao Liang Zhang Zhuoye Ding Long Xia Jiliang Tang and Dawei Yin. 2018. Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. In KDD. 1040--1048.","DOI":"10.1145\/3219819.3219886"},{"key":"e_1_3_2_1_38_1","volume-title":"Chi","author":"Zhao Zhe","year":"2015","unstructured":"Zhe Zhao , Zhiyuan Cheng , Lichan Hong , and Ed H . Chi . 2015 . Improving User Topic Interest Profiles by Behavior Factorization. In WWW. 1406--1416. Zhe Zhao, Zhiyuan Cheng, Lichan Hong, and Ed H. Chi. 2015. Improving User Topic Interest Profiles by Behavior Factorization. In WWW. 1406--1416."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu and Kun Gai. 2019. Deep interest evolution network for click-through rate prediction. In AAAI. 5941--5948.  Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu and Kun Gai. 2019. Deep interest evolution network for click-through rate prediction. In AAAI. 5941--5948.","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018. Deep interest network for click-through rate prediction. In KDD. 1059--1068.  Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018. Deep interest network for click-through rate prediction. In KDD. 1059--1068.","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_1_41_1","volume-title":"Micro Behaviors: A New Perspective in E-commerce Recommender Systems. In WSDM. 727--735.","author":"Ding Zhuoye","year":"2018","unstructured":"Mei-zi Zhou, Zhuoye Ding , and Dawei Yin . 2018 . Micro Behaviors: A New Perspective in E-commerce Recommender Systems. In WSDM. 727--735. Mei-zi Zhou, Zhuoye Ding, and Dawei Yin. 2018. Micro Behaviors: A New Perspective in E-commerce Recommender Systems. In WSDM. 727--735."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Han Zhu Xiang Li Pengye Zhang Guozheng Li Jie He Han Li and Kun Gai. 2018. Learning Tree-based Deep Model for Recommender Systems. In KDD. 1079--1088.  Han Zhu Xiang Li Pengye Zhang Guozheng Li Jie He Han Li and Kun Gai. 2018. Learning Tree-based Deep Model for Recommender Systems. In KDD. 1079--1088.","DOI":"10.1145\/3219819.3219826"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Yu Zhu Hao Li Yikang Liao Beidou Wang Ziyu Guan Haifeng Liu and Deng Cai. 2017. What to Do Next: Modeling User Behaviors by Time-LSTM. In IJCAI. 3602--3608.  Yu Zhu Hao Li Yikang Liao Beidou Wang Ziyu Guan Haifeng Liu and Deng Cai. 2017. What to Do Next: Modeling User Behaviors by Time-LSTM. In IJCAI. 3602--3608.","DOI":"10.24963\/ijcai.2017\/504"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Lixin Zou Long Xia Zhuoye Ding Jiaxing Song Weidong Liu and Dawei Yin. 2019. Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. In KDD. 2810--2818.  Lixin Zou Long Xia Zhuoye Ding Jiaxing Song Weidong Liu and Dawei Yin. 2019. Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. In KDD. 2810--2818.","DOI":"10.1145\/3292500.3330668"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Lixin Zou Long Xia Zhuoye Ding Dawei Yin Jiaxing Song and Weidong Liu. 2019. Reinforcement Learning to Diversify Top-N Recommendation. In DASFAA. 104--120.  Lixin Zou Long Xia Zhuoye Ding Dawei Yin Jiaxing Song and Weidong Liu. 2019. Reinforcement Learning to Diversify Top-N Recommendation. In DASFAA. 104--120.","DOI":"10.1007\/978-3-030-18579-4_7"},{"key":"e_1_3_2_1_46_1","volume-title":"WSDM","author":"Zou Lixin","unstructured":"Lixin Zou , Long Xia , Pan Du , Zhuo Zhang , Ting Bai , Weidong Liu , Jian-Yun Nie , and Dawei Yin . 2020. Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation . In WSDM Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, and Dawei Yin. 2020. Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. In WSDM"}],"event":{"name":"WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining","location":"Houston TX USA","acronym":"WSDM '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 13th International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3336191.3371827","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3336191.3371827","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:14Z","timestamp":1750202594000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3336191.3371827"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,20]]},"references-count":46,"alternative-id":["10.1145\/3336191.3371827","10.1145\/3336191"],"URL":"https:\/\/doi.org\/10.1145\/3336191.3371827","relation":{},"subject":[],"published":{"date-parts":[[2020,1,20]]},"assertion":[{"value":"2020-01-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}