{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:28Z","timestamp":1750220008871,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"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\/3511808.3557601","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:29:57Z","timestamp":1665883797000},"page":"4404-4408","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation"],"prefix":"10.1145","author":[{"given":"Hao","family":"Qian","sequence":"first","affiliation":[{"name":"Ant Group, Hangzhou, China"}]},{"given":"Qintong","family":"Wu","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}]},{"given":"MingHao","family":"Li","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}]},{"given":"Zhengwei","family":"Wu","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}]},{"given":"Zhiqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}]},{"given":"Lihong","family":"Gu","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}]},{"given":"Jinjie","family":"Gu","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Jamie Ryan Kiros, and Geoffrey E. Hinton","author":"Ba Lei Jimmy","year":"2016","unstructured":"Lei Jimmy Ba , Jamie Ryan Kiros, and Geoffrey E. Hinton . 2016 . Layer Normalization. CoRR , Vol. abs\/ 1607 .06450 (2016). showeprint[arXiv]1607.06450 http:\/\/arxiv.org\/abs\/1607.06450 Lei Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton. 2016. Layer Normalization. CoRR, Vol. abs\/1607.06450 (2016). showeprint[arXiv]1607.06450 http:\/\/arxiv.org\/abs\/1607.06450"},{"volume-title":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (Marina Del Rey, CA, USA) (WSDM '18)","author":"Beutel Alex","key":"e_1_3_2_1_2_1","unstructured":"Alex Beutel , Paul Covington , Sagar Jain , Can Xu , Jia Li , Vince Gatto , and Ed H. Chi . 2018. Latent Cross: Making Use of Context in Recurrent Recommender Systems . In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (Marina Del Rey, CA, USA) (WSDM '18) . Association for Computing Machinery, New York, NY, USA, 46--54. https:\/\/doi.org\/10.1145\/3159652.3159727 10.1145\/3159652.3159727 Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, and Ed H. Chi. 2018. Latent Cross: Making Use of Context in Recurrent Recommender Systems. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (Marina Del Rey, CA, USA) (WSDM '18). Association for Computing Machinery, New York, NY, USA, 46--54. https:\/\/doi.org\/10.1145\/3159652.3159727"},{"key":"e_1_3_2_1_3_1","volume-title":"Article 12","author":"Chen Qiwei","year":"2019","unstructured":"Qiwei Chen , Huan Zhao , Wei Li , Pipei Huang , and Wenwu Ou. 2019. Behavior Sequence Transformer for E-Commerce Recommendation in Alibaba ., Article 12 ( 2019 ), 4 pages. https:\/\/doi.org\/10.1145\/3326937.3341261 10.1145\/3326937.3341261 Qiwei Chen, Huan Zhao, Wei Li, Pipei Huang, and Wenwu Ou. 2019. Behavior Sequence Transformer for E-Commerce Recommendation in Alibaba., Article 12 (2019), 4 pages. https:\/\/doi.org\/10.1145\/3326937.3341261"},{"key":"e_1_3_2_1_4_1","volume-title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv:1412.3555","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv:1412.3555 (2014)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3367243.3367359"},{"key":"e_1_3_2_1_7_1","volume-title":"Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 770--778","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). 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). 770--778. https:\/\/doi.org\/10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_8_1","volume-title":"Session-based Recommendations with Recurrent Neural Networks. arXiv:1511.06939","author":"Hidasi Bal\u00e1zs","year":"2016","unstructured":"Bal\u00e1zs Hidasi , Alexandros Karatzoglou , Linas Baltrunas , and Domonkos Tikk . 2016. Session-based Recommendations with Recurrent Neural Networks. arXiv:1511.06939 ( 2016 ). Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. arXiv:1511.06939 (2016)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240609"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330666"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412744"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_15_1","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141 ukasz Kaiser, and Illia Polosukhin . 2017 . Attention is All you Need . In Advances in Neural Information Processing Systems , Vol. 30 . Curran Associates, Inc. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141 ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems, Vol. 30. Curran Associates, Inc."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441761"},{"key":"e_1_3_2_1_17_1","volume-title":"CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. arXiv","author":"Zhou Guorui","year":"2020","unstructured":"Guorui Zhou , Weijie Bian , Kailun Wu , Lejian Ren , Qi Pi , Yujing Zhang , Can Xiao , Xiang-Rong Sheng , Na Mou , Xinchen Luo , Chi Zhang , Xianjie Qiao , Shiming Xiang , Kun Gai , Xiaoqiang Zhu , and Jian Xu . 2020 . CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. arXiv : 2011.05625 (2020). Guorui Zhou, Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Na Mou, Xinchen Luo, Chi Zhang, Xianjie Qiao, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, and Jian Xu. 2020. CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. arXiv: 2011.05625 (2020)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Guorui Zhou Chengru Song Xiaoqiang Zhu Xiao Ma Yanghui Yan Xingya Dai Han Zhu Junqi Jin Han Li and Kun Gai. 2017. Deep Interest Network for Click-Through Rate Prediction. (2017).  Guorui Zhou Chengru Song Xiaoqiang Zhu Xiao Ma Yanghui Yan Xingya Dai Han Zhu Junqi Jin Han Li and Kun Gai. 2017. Deep Interest Network for Click-Through Rate Prediction. (2017).","DOI":"10.1145\/3219819.3219823"}],"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 & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557601","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557601","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\/3511808.3557601"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":19,"alternative-id":["10.1145\/3511808.3557601","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557601","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"}}]}}