{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T02:34:25Z","timestamp":1778898865198,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":27,"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\/3511808.3557709","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:29:57Z","timestamp":1665883797000},"page":"4630-4634","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Task Similarity Aware Meta Learning for Cold-Start Recommendation"],"prefix":"10.1145","author":[{"given":"Jieyu","family":"Yang","sequence":"first","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoxin","family":"Huan","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"He","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Ding","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ant Group, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linjian","family":"Mo","sequence":"additional","affiliation":[{"name":"Ant Group, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International conference on machine learning. PMLR, 1126--1135","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn , Pieter Abbeel , and Sergey Levine . 2017 . Model-agnostic meta-learning for fast adaptation of deep networks . In International conference on machine learning. PMLR, 1126--1135 . Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. In International conference on machine learning. PMLR, 1126--1135."},{"key":"e_1_3_2_1_2_1","volume-title":"Probabilistic model-agnostic meta-learning. Advances in neural information processing systems","author":"Finn Chelsea","year":"2018","unstructured":"Chelsea Finn , Kelvin Xu , and Sergey Levine . 2018. Probabilistic model-agnostic meta-learning. Advances in neural information processing systems , Vol. 31 ( 2018 ). Chelsea Finn, Kelvin Xu, and Sergey Levine. 2018. Probabilistic model-agnostic meta-learning. Advances in neural information processing systems, Vol. 31 (2018)."},{"key":"e_1_3_2_1_3_1","volume-title":"Meta-Learning with MAML on Trees. arXiv preprint arXiv:2103.04691","author":"Garcia Jezabel R","year":"2021","unstructured":"Jezabel R Garcia , Federica Freddi , Feng-Ting Liao , Jamie McGowan , Tim Nieradzik , Da-shan Shiu, Ye Tian , and Alberto Bernacchia . 2021. Meta-Learning with MAML on Trees. arXiv preprint arXiv:2103.04691 ( 2021 ). Jezabel R Garcia, Federica Freddi, Feng-Ting Liao, Jamie McGowan, Tim Nieradzik, Da-shan Shiu, Ye Tian, and Alberto Bernacchia. 2021. Meta-Learning with MAML on Trees. arXiv preprint arXiv:2103.04691 (2021)."},{"key":"e_1_3_2_1_4_1","volume-title":"Recasting gradient-based meta-learning as hierarchical bayes. arXiv preprint arXiv:1801.08930","author":"Grant Erin","year":"2018","unstructured":"Erin Grant , Chelsea Finn , Sergey Levine , Trevor Darrell , and Thomas Griffiths . 2018. Recasting gradient-based meta-learning as hierarchical bayes. arXiv preprint arXiv:1801.08930 ( 2018 ). Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, and Thomas Griffiths. 2018. Recasting gradient-based meta-learning as hierarchical bayes. arXiv preprint arXiv:1801.08930 (2018)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972801.18"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467077"},{"key":"e_1_3_2_1_7_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_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"e_1_3_2_1_9_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_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330859"},{"key":"e_1_3_2_1_11_1","volume-title":"International Conference on Machine Learning. PMLR, 2927--2936","author":"Lee Yoonho","year":"2018","unstructured":"Yoonho Lee and Seungjin Choi . 2018 . Gradient-based meta-learning with learned layerwise metric and subspace . In International Conference on Machine Learning. PMLR, 2927--2936 . Yoonho Lee and Seungjin Choi. 2018. Gradient-based meta-learning with learned layerwise metric and subspace. In International Conference on Machine Learning. PMLR, 2927--2936."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210104"},{"key":"e_1_3_2_1_13_1","volume-title":"Twenty-Fourth International Joint Conference on Artificial Intelligence.","author":"Mo Kaixiang","year":"2015","unstructured":"Kaixiang Mo , Bo Liu , Lei Xiao , Yong Li , and Jie Jiang . 2015 . Image feature learning for cold start problem in display advertising . In Twenty-Fourth International Joint Conference on Artificial Intelligence. Kaixiang Mo, Bo Liu, Lei Xiao, Yong Li, and Jie Jiang. 2015. Image feature learning for cold start problem in display advertising. In Twenty-Fourth International Joint Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_14_1","unstructured":"Vinod Nair and Geoffrey E Hinton. 2010. Rectified linear units improve restricted boltzmann machines. In Icml.  Vinod Nair and Geoffrey E Hinton. 2010. Rectified linear units improve restricted boltzmann machines. In Icml."},{"key":"e_1_3_2_1_15_1","volume-title":"Pau Rodr'iguez L\u00f3pez, and Alexandre Lacoste","author":"Oreshkin Boris","year":"2018","unstructured":"Boris Oreshkin , Pau Rodr'iguez L\u00f3pez, and Alexandre Lacoste . 2018 . Tadam : Task dependent adaptive metric for improved few-shot learning. Advances in neural information processing systems, Vol. 31 (2018). Boris Oreshkin, Pau Rodr'iguez L\u00f3pez, and Alexandre Lacoste. 2018. Tadam: Task dependent adaptive metric for improved few-shot learning. Advances in neural information processing systems, Vol. 31 (2018)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331268"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645751"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/564376.564421"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482239"},{"key":"e_1_3_2_1_20_1","volume":"201","author":"Vuorio Risto","unstructured":"Risto Vuorio , Shao-Hua Sun , Hexiang Hu , and Joseph J Lim. 201 9. Multimodal model-agnostic meta-learning via task-aware modulation. Advances in Neural Information Processing Systems, Vol. 32 (2019). Risto Vuorio, Shao-Hua Sun, Hexiang Hu, and Joseph J Lim. 2019. Multimodal model-agnostic meta-learning via task-aware modulation. Advances in Neural Information Processing Systems, Vol. 32 (2019).","journal-title":"Joseph J Lim."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271739"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Fuzheng Zhang Miao Zhao Wenjie Li Xing Xie and Minyi Guo. 2019. Multi-task feature learning for knowledge graph enhanced recommendation. In The world wide web conference. 2000--2010.  Hongwei Wang Fuzheng Zhang Miao Zhao Wenjie Li Xing Xie and Minyi Guo. 2019. Multi-task feature learning for knowledge graph enhanced recommendation. In The world wide web conference. 2000--2010.","DOI":"10.1145\/3308558.3313411"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Ruoxi Wang Bin Fu Gang Fu and Mingliang Wang. 2017. Deep & Cross Network for Ad Click Predictions. arxiv: 1708.05123 [cs.LG]  Ruoxi Wang Bin Fu Gang Fu and Mingliang Wang. 2017. Deep & Cross Network for Ad Click Predictions. arxiv: 1708.05123 [cs.LG]","DOI":"10.1145\/3124749.3124754"},{"key":"e_1_3_2_1_24_1","volume-title":"Large Scale Product Graph Construction for Recommendation in E-commerce. arxiv","author":"Yang Xiaoyong","year":"2010","unstructured":"Xiaoyong Yang , Yadong Zhu , Yi Zhang , Xiaobo Wang , and Quan Yuan . 2020. Large Scale Product Graph Construction for Recommendation in E-commerce. arxiv : 2010 .05525 [cs.IR] Xiaoyong Yang, Yadong Zhu, Yi Zhang, Xiaobo Wang, and Quan Yuan. 2020. Large Scale Product Graph Construction for Recommendation in E-commerce. arxiv: 2010.05525 [cs.IR]"},{"key":"e_1_3_2_1_25_1","volume-title":"International Conference on Machine Learning. PMLR, 7045--7054","author":"Yao Huaxiu","year":"2019","unstructured":"Huaxiu Yao , Ying Wei , Junzhou Huang , and Zhenhui Li . 2019 . Hierarchically structured meta-learning . In International Conference on Machine Learning. PMLR, 7045--7054 . Huaxiu Yao, Ying Wei, Junzhou Huang, and Zhenhui Li. 2019. Hierarchically structured meta-learning. In International Conference on Machine Learning. PMLR, 7045--7054."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Guorui Zhou Chengru Song Xiaoqiang Zhu Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018. Deep Interest Network for Click-Through Rate Prediction. arxiv: 1706.06978 [stat.ML]  Guorui Zhou Chengru Song Xiaoqiang Zhu Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018. Deep Interest Network for Click-Through Rate Prediction. arxiv: 1706.06978 [stat.ML]","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462843"}],"event":{"name":"CIKM '22: The 31st ACM International Conference on Information and Knowledge Management","location":"Atlanta GA USA","acronym":"CIKM '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557709","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557709","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:48:49Z","timestamp":1750182529000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557709"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":27,"alternative-id":["10.1145\/3511808.3557709","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557709","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"}}]}}