{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T03:42:37Z","timestamp":1772336557654,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,3,8]],"date-time":"2021-03-08T00:00:00Z","timestamp":1615161600000},"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":[[2021,3,8]]},"DOI":"10.1145\/3437963.3441811","type":"proceedings-article","created":{"date-parts":[[2021,3,6]],"date-time":"2021-03-06T04:34:28Z","timestamp":1615005268000},"page":"598-606","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":129,"title":["Sparse-Interest Network for Sequential Recommendation"],"prefix":"10.1145","author":[{"given":"Qiaoyu","family":"Tan","sequence":"first","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}]},{"given":"Jianwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Jiangchao","family":"Yao","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Ninghao","family":"Liu","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}]},{"given":"Jingren","family":"Zhou","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Hongxia","family":"Yang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Xia","family":"Hu","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,3,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473","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 preprint arXiv:1409.0473 ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)."},{"key":"e_1_3_2_1_2_1","volume-title":"Attention mechanisms for vision in a dynamic world","author":"Burt Peter J","unstructured":"Peter J Burt . 1988. Attention mechanisms for vision in a dynamic world . In ICPRAM. IEEE Computer Society , 977--978. Peter J Burt. 1988. Attention mechanisms for vision in a dynamic world. In ICPRAM. IEEE Computer Society, 977--978."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Xu Chen Hongteng Xu Yongfeng Zhang Jiaxi Tang Yixin Cao Zheng Qin and Hongyuan Zha. 2018. Sequential recommendation with user memory networks. In WSDM. 108--116.  Xu Chen Hongteng Xu Yongfeng Zhang Jiaxi Tang Yixin Cao Zheng Qin and Hongyuan Zha. 2018. Sequential recommendation with user memory networks. In WSDM. 108--116.","DOI":"10.1145\/3159652.3159668"},{"key":"e_1_3_2_1_4_1","unstructured":"Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In IJCAI.  Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In IJCAI."},{"key":"e_1_3_2_1_5_1","volume-title":"Reducing overfitting in deep networks by decorrelating representations. arXiv preprint arXiv:1511.06068","author":"Cogswell Michael","year":"2015","unstructured":"Michael Cogswell , Faruk Ahmed , Ross Girshick , Larry Zitnick , and Dhruv Batra . 2015. Reducing overfitting in deep networks by decorrelating representations. arXiv preprint arXiv:1511.06068 ( 2015 ). Michael Cogswell, Faruk Ahmed, Ross Girshick, Larry Zitnick, and Dhruv Batra. 2015. Reducing overfitting in deep networks by decorrelating representations. arXiv preprint arXiv:1511.06068 (2015)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In RecSys. 191--198.  Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In RecSys. 191--198.","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Wenqi Fan Yao Ma Qing Li Yuan He Eric Zhao Jiliang Tang and Dawei Yin. 2019. Graph neural networks for social recommendation. In WWW. 417--426.  Wenqi Fan Yao Ma Qing Li Yuan He Eric Zhao Jiliang Tang and Dawei Yin. 2019. Graph neural networks for social recommendation. In WWW. 417--426.","DOI":"10.1145\/3308558.3313488"},{"key":"e_1_3_2_1_8_1","volume-title":"Graph u-nets. arXiv preprint arXiv:1905.05178","author":"Gao Hongyang","year":"2019","unstructured":"Hongyang Gao and Shuiwang Ji. 2019. Graph u-nets. arXiv preprint arXiv:1905.05178 ( 2019 ). Hongyang Gao and Shuiwang Ji. 2019. Graph u-nets. arXiv preprint arXiv:1905.05178 (2019)."},{"key":"e_1_3_2_1_9_1","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247 (2017).  Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247 (2017)."},{"key":"e_1_3_2_1_10_1","unstructured":"Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NIPS. 1024--1034.  Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NIPS. 1024--1034."},{"key":"e_1_3_2_1_11_1","unstructured":"Ruining He Chen Fang Zhaowen Wang and Julian McAuley. 2016. Vista: a visually socially and temporally-aware model for artistic recommendation. In RecSys. 309--316.  Ruining He Chen Fang Zhaowen Wang and Julian McAuley. 2016. Vista: a visually socially and temporally-aware model for artistic recommendation. In RecSys. 309--316."},{"key":"e_1_3_2_1_12_1","volume-title":"Fusing similarity models with markov chains for sparse sequential recommendation","author":"He Ruining","unstructured":"Ruining He and Julian McAuley . 2016. Fusing similarity models with markov chains for sparse sequential recommendation . In ICDM. IEEE , 191--200. Ruining He and Julian McAuley. 2016. Fusing similarity models with markov chains for sparse sequential recommendation. In ICDM. IEEE, 191--200."},{"key":"e_1_3_2_1_13_1","volume-title":"LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. arXiv preprint arXiv:2002.02126","author":"He Xiangnan","year":"2020","unstructured":"Xiangnan He , Kuan Deng , Xiang Wang , Yan Li , Yongdong Zhang , and Meng Wang . 2020. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. arXiv preprint arXiv:2002.02126 ( 2020 ). Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang. 2020. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. arXiv preprint arXiv:2002.02126 (2020)."},{"key":"e_1_3_2_1_14_1","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural collaborative filtering. In WWW. 173--182.  Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural collaborative filtering. In WWW. 173--182."},{"key":"e_1_3_2_1_15_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. ACM 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. ACM 549--558."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Bal\u00e1zs Hidasi and Alexandros Karatzoglou. 2018. Recurrent neural networks with top-k gains for session-based recommendations. In CIKM. 843--852.  Bal\u00e1zs Hidasi and Alexandros Karatzoglou. 2018. Recurrent neural networks with top-k gains for session-based recommendations. In CIKM. 843--852.","DOI":"10.1145\/3269206.3271761"},{"key":"e_1_3_2_1_17_1","volume-title":"Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939","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 preprint arXiv:1511.06939 ( 2015 ). Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_18_1","volume-title":"On using very large target vocabulary for neural machine translation. arXiv preprint arXiv:1412.2007","author":"Jean S\u00e9bastien","year":"2014","unstructured":"S\u00e9bastien Jean , Kyunghyun Cho , Roland Memisevic , and Yoshua Bengio . 2014. On using very large target vocabulary for neural machine translation. arXiv preprint arXiv:1412.2007 ( 2014 ). S\u00e9bastien Jean, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio. 2014. On using very large target vocabulary for neural machine translation. arXiv preprint arXiv:1412.2007 (2014)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Bowen Jin Chen Gao Xiangnan He Depeng Jin and Yong Li. 2020. Multibehavior recommendation with graph convolutional networks. In SIGIR. 659--668.  Bowen Jin Chen Gao Xiangnan He Depeng Jin and Yong Li. 2020. Multibehavior recommendation with graph convolutional networks. In SIGIR. 659--668.","DOI":"10.1145\/3397271.3401072"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2921572"},{"key":"e_1_3_2_1_21_1","volume-title":"Self-attentive sequential recommendation","author":"Kang Wang-Cheng","unstructured":"Wang-Cheng Kang and Julian McAuley . 2018. Self-attentive sequential recommendation . In ICDM. IEEE , 197--206. Wang-Cheng Kang and Julian McAuley. 2018. Self-attentive sequential recommendation. In ICDM. IEEE, 197--206."},{"key":"e_1_3_2_1_22_1","unstructured":"Donghyun Kim Chanyoung Park Jinoh Oh Sungyoung Lee and Hwanjo Yu. 2016. Convolutional matrix factorization for document context-aware recommendation. In RecSys. 233--240.  Donghyun Kim Chanyoung Park Jinoh Oh Sungyoung Lee and Hwanjo Yu. 2016. Convolutional matrix factorization for document context-aware recommendation. In RecSys. 233--240."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_24_1","unstructured":"Chao Li Zhiyuan Liu Mengmeng Wu Yuchi Xu Huan Zhao Pipei Huang Guoliang Kang Qiwei Chen Wei Li and Dik Lun Lee. 2019. Multi-interest network with dynamic routing for recommendation at Tmall. In CIKM. 2615-- 2623.  Chao Li Zhiyuan Liu Mengmeng Wu Yuchi Xu Huan Zhao Pipei Huang Guoliang Kang Qiwei Chen Wei Li and Dik Lun Lee. 2019. Multi-interest network with dynamic routing for recommendation at Tmall. In CIKM. 2615-- 2623."},{"key":"e_1_3_2_1_25_1","unstructured":"Jiacheng Li Yujie Wang and Julian McAuley. 2020. Time Interval Aware Self- Attention for Sequential Recommendation. In WSDM. 322--330.  Jiacheng Li Yujie Wang and Julian McAuley. 2020. Time Interval Aware Self- Attention for Sequential Recommendation. In WSDM. 322--330."},{"key":"e_1_3_2_1_26_1","volume-title":"Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio.","author":"Lin Zhouhan","year":"2017","unstructured":"Zhouhan Lin , Minwei Feng , Cicero Nogueira dos Santos , Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017 . A structured self-attentive sentence embedding. arXiv preprint arXiv:1703.03130 (2017). Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017. A structured self-attentive sentence embedding. arXiv preprint arXiv:1703.03130 (2017)."},{"key":"e_1_3_2_1_27_1","unstructured":"Ninghao Liu Qiaoyu Tan Yuening Li Hongxia Yang Jingren Zhou and Xia Hu. 2019. Is a single vector enough? exploring node polysemy for network embedding. In KDD. 932--940.  Ninghao Liu Qiaoyu Tan Yuening Li Hongxia Yang Jingren Zhou and Xia Hu. 2019. Is a single vector enough? exploring node polysemy for network embedding. In KDD. 932--940."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357818"},{"key":"e_1_3_2_1_29_1","unstructured":"Jianxin Ma Chang Zhou Peng Cui Hongxia Yang and Wenwu Zhu. 2019. Learning disentangled representations for recommendation. In NIPS. 5711--5722.  Jianxin Ma Chang Zhou Peng Cui Hongxia Yang and Wenwu Zhu. 2019. Learning disentangled representations for recommendation. In NIPS. 5711--5722."},{"key":"e_1_3_2_1_30_1","volume-title":"Normalized mutual information to evaluate overlapping community finding algorithms. arXiv preprint arXiv:1110.2515","author":"McDaid Aaron F","year":"2011","unstructured":"Aaron F McDaid , Derek Greene , and Neil Hurley . 2011. Normalized mutual information to evaluate overlapping community finding algorithms. arXiv preprint arXiv:1110.2515 ( 2011 ). Aaron F McDaid, Derek Greene, and Neil Hurley. 2011. Normalized mutual information to evaluate overlapping community finding algorithms. arXiv preprint arXiv:1110.2515 (2011)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Covington Paul Adams Jay and Sargin Emre. 2016. Deep neural networks for YouTube Recommendation. In RecSys. 191--198.  Covington Paul Adams Jay and Sargin Emre. 2016. Deep neural networks for YouTube Recommendation. In RecSys. 191--198.","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_32_1","volume-title":"Factorization machines","author":"Rendle Steffen","unstructured":"Steffen Rendle . 2010. Factorization machines . In ICDM. IEEE , 995--1000. Steffen Rendle. 2010. Factorization machines. In ICDM. IEEE, 995--1000."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Steffen Rendle Christoph Freudenthaler and Lars Schmidt-Thieme. 2010. Factorizing personalized markov chains for next-basket recommendation. In WWW. 811--820.  Steffen Rendle Christoph Freudenthaler and Lars Schmidt-Thieme. 2010. Factorizing personalized markov chains for next-basket recommendation. In WWW. 811--820.","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_34_1","unstructured":"Sara Sabour Nicholas Frosst and Geoffrey E Hinton. 2017. Dynamic routing between capsules. In NIPS. 3856--3866.  Sara Sabour Nicholas Frosst and Geoffrey E Hinton. 2017. Dynamic routing between capsules. In NIPS. 3856--3866."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Badrul Sarwar George Karypis Joseph Konstan and John Riedl. 2001. Item-based collaborative filtering recommendation algorithms. In WWW. 285--295.  Badrul Sarwar George Karypis Joseph Konstan and John Riedl. 2001. Item-based collaborative filtering recommendation algorithms. In WWW. 285--295.","DOI":"10.1145\/371920.372071"},{"key":"e_1_3_2_1_36_1","volume-title":"The adaptive web","author":"Schafer J Ben","unstructured":"J Ben Schafer , Dan Frankowski , Jon Herlocker , and Shilad Sen . 2007. Collaborative filtering recommender systems . In The adaptive web . Springer , 291--324. J Ben Schafer, Dan Frankowski, Jon Herlocker, and Shilad Sen. 2007. Collaborative filtering recommender systems. In The adaptive web. Springer, 291--324."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742726"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou and Peng Jiang. 2019. BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In CIKM. 1441--1450.  Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou and Peng Jiang. 2019. BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In CIKM. 1441--1450.","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.3389\/fdata.2019.00002"},{"key":"e_1_3_2_1_40_1","unstructured":"Qiaoyu Tan Ninghao Liu Xing Zhao Hongxia Yang Jingren Zhou and Xia Hu. 2020. Learning to Hash with Graph Neural Networks for Recommender Systems. In WWW. 1988--1998.  Qiaoyu Tan Ninghao Liu Xing Zhao Hongxia Yang Jingren Zhou and Xia Hu. 2020. Learning to Hash with Graph Neural Networks for Recommender Systems. In WWW. 1988--1998."},{"key":"e_1_3_2_1_41_1","unstructured":"Qiaoyu Tan Jianwei Zhang Ninghao Liu Xiao Huang Hongxia Yang Jignren Zhou and Xia Hu. 2021. Dynamic memory based attention network for sequential recommendation. In AAAI.  Qiaoyu Tan Jianwei Zhang Ninghao Liu Xiao Huang Hongxia Yang Jignren Zhou and Xia Hu. 2021. Dynamic memory based attention network for sequential recommendation. In AAAI."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Jiaxi Tang and Ke Wang. 2018. Personalized top-n sequential recommendation via convolutional sequence embedding. In WSDM. 565--573.  Jiaxi Tang and Ke Wang. 2018. Personalized top-n sequential recommendation via convolutional sequence embedding. In WSDM. 565--573.","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_43_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NIPS. 5998--6008.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NIPS. 5998--6008."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Shoujin Wang Liang Hu Yan Wang Quan Z Sheng Mehmet A Orgun and Longbing Cao. 2019. Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks.. In IJCAI. 3771--3777.  Shoujin Wang Liang Hu Yan Wang Quan Z Sheng Mehmet A Orgun and Longbing Cao. 2019. Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks.. In IJCAI. 3771--3777.","DOI":"10.24963\/ijcai.2019\/523"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"An Yan Shuo Cheng Wang-Cheng Kang Mengting Wan and Julian McAuley. 2019. CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. In CIKM. 2173--2176.  An Yan Shuo Cheng Wang-Cheng Kang Mengting Wan and Julian McAuley. 2019. CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. In CIKM. 2173--2176.","DOI":"10.1145\/3357384.3358113"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"crossref","unstructured":"Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L Hamilton and Jure Leskovec. 2018. Graph convolutional neural networks for web-scale recommender systems. In KDD. 974--983.  Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L Hamilton and Jure Leskovec. 2018. Graph convolutional neural networks for web-scale recommender systems. In KDD. 974--983.","DOI":"10.1145\/3219819.3219890"},{"key":"e_1_3_2_1_47_1","unstructured":"Feng Yu Qiang Liu Shu Wu Liang Wang and Tieniu Tan. 2016. A dynamic recurrent model for next basket recommendation. In SIGIR. 729--732.  Feng Yu Qiang Liu Shu Wu Liang Wang and Tieniu Tan. 2016. A dynamic recurrent model for next basket recommendation. In SIGIR. 729--732."},{"key":"e_1_3_2_1_48_1","unstructured":"Wenhui Yu and Zheng Qin. 2020. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters. In ICML. PMLR 10936--10945.  Wenhui Yu and Zheng Qin. 2020. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters. In ICML. PMLR 10936--10945."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3316481"},{"key":"e_1_3_2_1_50_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_51_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 SIGKDD. 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 SIGKDD. 1079--1088.","DOI":"10.1145\/3219819.3219826"}],"event":{"name":"WSDM '21: The Fourteenth ACM International Conference on Web Search and Data Mining","location":"Virtual Event Israel","acronym":"WSDM '21","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 14th ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3437963.3441811","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3437963.3441811","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:36Z","timestamp":1750193256000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3437963.3441811"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,8]]},"references-count":51,"alternative-id":["10.1145\/3437963.3441811","10.1145\/3437963"],"URL":"https:\/\/doi.org\/10.1145\/3437963.3441811","relation":{},"subject":[],"published":{"date-parts":[[2021,3,8]]},"assertion":[{"value":"2021-03-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}