{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:10:18Z","timestamp":1765545018928,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T00:00:00Z","timestamp":1746662400000},"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":[[2025,5,8]]},"DOI":"10.1145\/3701716.3715252","type":"proceedings-article","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T16:12:56Z","timestamp":1748016776000},"page":"671-680","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3834-7628","authenticated-orcid":false,"given":"Jinfeng","family":"Zhuang","sequence":"first","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4918-8986","authenticated-orcid":false,"given":"Yinrui","family":"Li","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9631-3711","authenticated-orcid":false,"given":"Runze","family":"Su","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8864-9039","authenticated-orcid":false,"given":"Ke","family":"Xu","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7646-1829","authenticated-orcid":false,"given":"Zhixuan","family":"Shao","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2341-3705","authenticated-orcid":false,"given":"Kungang","family":"Li","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9081-5700","authenticated-orcid":false,"given":"Ling","family":"Leng","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1626-3561","authenticated-orcid":false,"given":"Han","family":"Sun","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9943-0056","authenticated-orcid":false,"given":"Meng","family":"Qi","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2017-4342","authenticated-orcid":false,"given":"Yixiong","family":"Meng","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9180-1832","authenticated-orcid":false,"given":"Yang","family":"Tang","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9243-5875","authenticated-orcid":false,"given":"Zhifang","family":"Liu","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5692-099X","authenticated-orcid":false,"given":"Qifei","family":"Shen","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7386-3766","authenticated-orcid":false,"given":"Aayush","family":"Mudgal","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2205.10249"},{"key":"e_1_3_2_2_2_1","volume-title":"TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou. In DKK. 3785--3794.","author":"Chang Jianxin","year":"2023","unstructured":"Jianxin Chang, Chenbin Zhang, Zhiyi Fu, Xiaoxue Zang, Lin Guan, Jing Lu, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, and Kun Gai. 2023. TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou. In DKK. 3785--3794."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143874"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Stephanie deWet and Jiafan Ou. 2019. Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences. In KDD. 2251--2259.","DOI":"10.1145\/3292500.3330714"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Zhifang Fan Dan Ou Yulong Gu Bairan Fu Xiang Li Wentian Bao Xin-Yu Dai Xiaoyi Zeng Tao Zhuang and Qingwen Liu. 2022. Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search. In WSDM. 262--270.","DOI":"10.1145\/3488560.3498478"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Yufei Feng Fuyu Lv Weichen Shen Menghan Wang Fei Sun Yu Zhu and Keping Yang. 2019. Deep Session Interest Network for Click-Through Rate Prediction. In IJCAI. 2301--2307.","DOI":"10.24963\/ijcai.2019\/319"},{"volume-title":"Real-time Personalization using Embeddings for Search Ranking at Airbnb","author":"Grbovic Mihajlo","key":"e_1_3_2_2_7_1","unstructured":"Mihajlo Grbovic and Haibin Cheng. 2018. Real-time Personalization using Embeddings for Search Ranking at Airbnb. In KDD, Yike Guo and Faisal Farooq (Eds.). ACM, 311--320."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"crossref","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. In IJCAI Carles Sierra (Ed.). 1725--1731.","DOI":"10.24963\/ijcai.2017\/239"},{"key":"e_1_3_2_2_9_1","unstructured":"William L. Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In NeurIPS. 1024--1034."},{"key":"e_1_3_2_2_10_1","volume-title":"McNeil","author":"Hanley James A.","year":"1982","unstructured":"James A. Hanley and Barbara J. McNeil. 1982. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143(1) (1982), 29--36."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688053"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Jie Hu Li Shen and Gang Sun. 2018. Squeeze-and-Excitation Networks. In CVPR. 7132--7141.","DOI":"10.1109\/CVPR.2018.00745"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347043"},{"key":"e_1_3_2_2_14_1","volume-title":"Mohammad Zaki Zadeh, Debapriya Banerjee, and Fillia Makedon.","author":"Jaiswal Ashish","year":"2020","unstructured":"Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Debapriya Banerjee, and Fillia Makedon. 2020. A Survey on Contrastive Self-supervised Learning. CoRR abs\/2011.00362 (2020). arXiv:2011.00362"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Wensen Jiang Yizhu Jiao Qingqin Wang Chuanming Liang Lijie Guo Yao Zhang Zhijun Sun Yun Xiong and Yangyong Zhu. 2022. Triangle Graph Interest Network for Click-through Rate Prediction. In WSDM. 401--409.","DOI":"10.1145\/3488560.3498458"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688054"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Aditya Pal Chantat Eksombatchai Yitong Zhou Bo Zhao Charles Rosenberg and Jure Leskovec. 2020. PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest. In KDD. 2311--2320.","DOI":"10.1145\/3394486.3403280"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Nikil Pancha Andrew Zhai Jure Leskovec and Charles Rosenberg. 2022. PinnerFormer: Sequence Modeling for User Representation at Pinterest. In KDD. ACM 3702--3712.","DOI":"10.1145\/3534678.3539156"},{"key":"e_1_3_2_2_19_1","volume-title":"Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. CoRR abs\/1905.09248","author":"Pi Qi","year":"2019","unstructured":"Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, and Kun Gai. 2019. Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. CoRR abs\/1905.09248 (2019). arXiv:1905.09248"},{"key":"e_1_3_2_2_20_1","volume-title":"Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. CoRR abs\/2006.05639","author":"Pi Qi","year":"2020","unstructured":"Qi Pi, Xiaoqiang Zhu, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, and Kun Gai. 2020. Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. CoRR abs\/2006.05639 (2020). arXiv:2006.05639"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0042519"},{"key":"e_1_3_2_2_22_1","volume-title":"Representation Learning with Contrastive Predictive Coding. CoRR abs\/1807.03748","author":"van den Oord A\u00e4ron","year":"2018","unstructured":"A\u00e4ron van den Oord, Yazhe Li, and Oriol Vinyals. 2018. Representation Learning with Contrastive Predictive Coding. CoRR abs\/1807.03748 (2018). arXiv:1807.03748"},{"key":"e_1_3_2_2_23_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 NeurIPS. 6000--6010."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615089"},{"key":"e_1_3_2_2_25_1","first-page":"1","article-title":"Deep & Cross Network for Ad Click Predictions","volume":"12","author":"Wang Ruoxi","year":"2017","unstructured":"Ruoxi Wang, Bin Fu, Gang Fu, and Mingliang Wang. 2017. Deep & Cross Network for Ad Click Predictions. In ADKDD. 12:1--12:7.","journal-title":"ADKDD."},{"key":"e_1_3_2_2_26_1","volume-title":"Sagar Jain, Dong Lin, Lichan Hong, and Ed H. Chi.","author":"Wang Ruoxi","year":"2021","unstructured":"Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, and Ed H. Chi. 2021. DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. In WWW. 1785-- 1797."},{"key":"e_1_3_2_2_27_1","volume-title":"Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, and Ruiming Tang.","author":"Wang Yuhao","year":"2023","unstructured":"Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, and Ruiming Tang. 2023. Multi-Task Deep Recommender Systems: A Survey. CoRR abs\/2302.03525 (2023). arXiv:2302.03525"},{"key":"e_1_3_2_2_28_1","volume-title":"MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask. CoRR abs\/2102.07619","author":"Wang Zhiqiang","year":"2021","unstructured":"Zhiqiang Wang, Qingyun She, and Junlin Zhang. 2021. MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask. CoRR abs\/2102.07619 (2021). arXiv:2102.07619"},{"key":"e_1_3_2_2_29_1","volume-title":"Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, and Andrew Zhai.","author":"Xia Xue","year":"2023","unstructured":"Xue Xia, Pong Eksombatchai, Nikil Pancha, Dhruvil Deven Badani, Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, and Andrew Zhai. 2023. TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest. In KDD. ACM, 5249--5259."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3547394"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","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. doi:10.1145\/3219819.3219890","DOI":"10.1145\/3219819.3219890"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3282907"},{"key":"e_1_3_2_2_33_1","volume-title":"Dong Huk Park, and Charles Rosenberg","author":"Zhai Andrew","year":"2019","unstructured":"Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, and Charles Rosenberg. 2019. Learning a Unified Embedding for Visual Search at Pinterest. In KDD. 2412--2420."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2402.17152"},{"key":"e_1_3_2_2_35_1","volume-title":"Wukong: Towards a Scaling Law for Large-Scale Recommendation. arXiv preprint arXiv:2403.02545","author":"Zhang Buyun","year":"2024","unstructured":"Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Daifeng Guo, Yanli Zhao, Shen Li, Yuchen Hao, Yantao Yao, et al. 2024. Wukong: Towards a Scaling Law for Large-Scale Recommendation. arXiv preprint arXiv:2403.02545 (2024)."},{"key":"e_1_3_2_2_36_1","volume-title":"DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction. CoRR abs\/2203.11014","author":"Zhang Buyun","year":"2022","unstructured":"Buyun Zhang, Liang Luo, Xi Liu, Jay Li, Zeliang Chen, Weilin Zhang, Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li, Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, and Ellie Wen. 2022. DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction. CoRR abs\/2203.11014 (2022)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615242"},{"key":"e_1_3_2_2_38_1","volume-title":"HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction. In SIGIR. ACM, 322--331.","author":"Zheng Zuowu","year":"2022","unstructured":"Zuowu Zheng, Changwang Zhang, Xiaofeng Gao, and Guihai Chen. 2022. HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction. In SIGIR. ACM, 322--331."},{"key":"e_1_3_2_2_39_1","volume-title":"Deep Interest Evolution Network for Click-Through Rate Prediction. CoRR abs\/1809.03672","author":"Zhou Guorui","year":"2018","unstructured":"Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, and Kun Gai. 2018. Deep Interest Evolution Network for Click-Through Rate Prediction. CoRR abs\/1809.03672 (2018). arXiv:1809.03672 http:\/\/arxiv.org\/abs\/1809.03672"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"crossref","unstructured":"Guorui Zhou Xiaoqiang Zhu Chengru 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_2_41_1","doi-asserted-by":"publisher","unstructured":"Jinfeng Zhuang and Yu Liu. 2019. PinText: A Multitask Text Embedding System in Pinterest. In KDD. 2653--2661. doi:10.1145\/3292500.3330671","DOI":"10.1145\/3292500.3330671"}],"event":{"name":"WWW '25: The ACM Web Conference 2025","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Sydney NSW Australia","acronym":"WWW '25"},"container-title":["Companion Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3715252","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3701716.3715252","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T03:02:17Z","timestamp":1759892537000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3715252"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,8]]},"references-count":41,"alternative-id":["10.1145\/3701716.3715252","10.1145\/3701716"],"URL":"https:\/\/doi.org\/10.1145\/3701716.3715252","relation":{},"subject":[],"published":{"date-parts":[[2025,5,8]]},"assertion":[{"value":"2025-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}