{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T13:26:54Z","timestamp":1783690014602,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61872258, No.61772356, No.62072125"],"award-info":[{"award-number":["No.61872258, No.61772356, No.62072125"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"young scholar program of Cyrus Tang Foundation"},{"name":"the major project of natural science research in universities of Jiangsu province","award":["20KJA520005"],"award-info":[{"award-number":["20KJA520005"]}]},{"name":"Australian Research Council Discovery Projects","award":["DP170104747, DP200103700"],"award-info":[{"award-number":["DP170104747, DP200103700"]}]},{"name":"the priority academic program development of Jiangsu higher education institutions"},{"name":"Australian Research Council Linkage Project","award":["LP180100750"],"award-info":[{"award-number":["LP180100750"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,26]]},"DOI":"10.1145\/3459637.3482239","type":"proceedings-article","created":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T18:33:11Z","timestamp":1635618791000},"page":"1713-1722","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":28,"title":["CBML"],"prefix":"10.1145","author":[{"given":"Jiayu","family":"Song","sequence":"first","affiliation":[{"name":"Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiajie","family":"Xu","sequence":"additional","affiliation":[{"name":"Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Zhou","sequence":"additional","affiliation":[{"name":"Swinburne University of Technology, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Chen","sequence":"additional","affiliation":[{"name":"Swinburne University of Technology, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianxin","family":"Li","sequence":"additional","affiliation":[{"name":"Deakin University, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengfei","family":"Liu","sequence":"additional","affiliation":[{"name":"Swinburne University of Technology, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157382.3157543"},{"key":"e_1_3_2_2_2_1","volume-title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. CoRR abs\/1412.3555","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , \u00c7aglar G\u00fcl\u00e7ehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. CoRR abs\/1412.3555 ( 2014 ). Junyoung Chung, \u00c7aglar G\u00fcl\u00e7ehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. CoRR abs\/1412.3555 (2014)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403113"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330726"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305498"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327546.3327622"},{"key":"e_1_3_2_2_7_1","volume-title":"Few-shot one-class classification via meta-learning. arXiv preprint arXiv:2007.04146","author":"Frikha Ahmed","year":"2020","unstructured":"Ahmed Frikha , Denis Krompa\u00df , Hans-Georg K\u00f6pken , and Volker Tresp . 2020. Few-shot one-class classification via meta-learning. arXiv preprint arXiv:2007.04146 ( 2020 ). Ahmed Frikha, Denis Krompa\u00df, Hans-Georg K\u00f6pken, and Volker Tresp. 2020. Few-shot one-class classification via meta-learning. arXiv preprint arXiv:2007.04146 (2020)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507166"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2009.71"},{"key":"e_1_3_2_2_10_1","volume-title":"Session-based Recommendations with Recurrent Neural Networks. In ICLR","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. In ICLR 2016. Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. In ICLR 2016."},{"key":"e_1_3_2_2_11_1","volume-title":"Meta-learning in neural networks: A survey. arXiv preprint arXiv:2004.05439","author":"Hospedales Timothy","year":"2020","unstructured":"Timothy Hospedales , Antreas Antoniou , Paul Micaelli , and Amos Storkey . 2020. Meta-learning in neural networks: A survey. arXiv preprint arXiv:2004.05439 ( 2020 ). Timothy Hospedales, Antreas Antoniou, Paul Micaelli, and Amos Storkey. 2020. Meta-learning in neural networks: A survey. arXiv preprint arXiv:2004.05439 (2020)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330859"},{"key":"e_1_3_2_2_13_1","volume-title":"Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th. 337--348.","author":"Lenz David","unstructured":"David Lenz , Christian Schulze , and Michael Guckert . 2018. Real-Time Session- Based Recommendations Using LSTM with Neural Embeddings . In Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th. 337--348. David Lenz, Christian Schulze, and Michael Guckert. 2018. Real-Time Session- Based Recommendations Using LSTM with Neural Embeddings. In Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th. 337--348."},{"key":"e_1_3_2_2_14_1","volume-title":"ICLR","author":"Lin Zhouhan","year":"2017","unstructured":"Zhouhan Lin , Minwei Feng , C\u00edcero Nogueira dos Santos , Mo Yu , Bing Xiang , Bowen Zhou , and Yoshua Bengio . 2017 . A Structured Self-Attentive Sentence Embedding . In ICLR 2017. Zhouhan Lin, Minwei Feng, C\u00edcero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017. A Structured Self-Attentive Sentence Embedding. In ICLR 2017."},{"key":"e_1_3_2_2_15_1","unstructured":"Yuanfu Lu Yuan Fang and Chuan Shi. 2020. Meta-learning on heterogeneous information networks for cold-start recommendation. In KDD. 1563--1573.  Yuanfu Lu Yuan Fang and Chuan Shi. 2020. Meta-learning on heterogeneous information networks for cold-start recommendation. In KDD. 1563--1573."},{"key":"e_1_3_2_2_16_1","volume-title":"Collaborative Self-Attention Network for Session-based Recommendation. In IJCAI","author":"Luo Anjing","year":"2020","unstructured":"Anjing Luo , Pengpeng Zhao , Yanchi Liu , Fuzhen Zhuang , DeqingWang, Jiajie Xu , Junhua Fang , and Victor S. Sheng . 2020 . Collaborative Self-Attention Network for Session-based Recommendation. In IJCAI 2020 . 2591--2597. Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, DeqingWang, Jiajie Xu, Junhua Fang, and Victor S. Sheng. 2020. Collaborative Self-Attention Network for Session-based Recommendation. In IJCAI 2020. 2591--2597."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1542"},{"key":"e_1_3_2_2_18_1","volume-title":"A simple neural attentive meta-learner. arXiv preprint arXiv:1707.03141","author":"Mishra Nikhil","year":"2017","unstructured":"Nikhil Mishra , Mostafa Rohaninejad , Xi Chen , and Pieter Abbeel . 2017. A simple neural attentive meta-learner. arXiv preprint arXiv:1707.03141 ( 2017 ). Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, and Pieter Abbeel. 2017. A simple neural attentive meta-learner. arXiv preprint arXiv:1707.03141 (2017)."},{"key":"e_1_3_2_2_19_1","unstructured":"Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri and Adam Trischler. 2018. Rapid adaptation with conditionally shifted neurons. In ICML. PMLR 3664--3673.  Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri and Adam Trischler. 2018. Rapid adaptation with conditionally shifted neurons. In ICML. PMLR 3664--3673."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1253"},{"key":"e_1_3_2_2_21_1","volume-title":"ICLR","author":"Ravi Sachin","year":"2017","unstructured":"Sachin Ravi and Hugo Larochelle . 2017 . Optimization as a Model for Few-Shot Learning . In ICLR 2017. Sachin Ravi and Hugo Larochelle. 2017. Optimization as a Model for Few-Shot Learning. In ICLR 2017."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/1795114.1795167"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959172"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045585"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988452"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157382.3157504"},{"key":"e_1_3_2_2_29_1","volume-title":"Collaborative filtering and deep learning based hybrid recommendation for cold start problem. In 2016 IEEE","author":"Wei Jian","unstructured":"Jian Wei , Jianhua He , Kai Chen , Yi Zhou , and Zuoyin Tang . 2016. Collaborative filtering and deep learning based hybrid recommendation for cold start problem. In 2016 IEEE . IEEE , 874--877. Jian Wei, Jianhua He, Kai Chen, Yi Zhou, and Zuoyin Tang. 2016. Collaborative filtering and deep learning based hybrid recommendation for cold start problem. In 2016 IEEE. IEEE, 874--877."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/3367471.3367589"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045336"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05838-7"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401319"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327144.3327163"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.5555\/3367471.3367642"},{"key":"e_1_3_2_2_37_1","volume-title":"Learning to Recommend via Meta Parameter Partition. arXiv preprint arXiv:1912.04108","author":"Zhao Liang","year":"2019","unstructured":"Liang Zhao , Yang Wang , Daxiang Dong , and Hao Tian . 2019. Learning to Recommend via Meta Parameter Partition. arXiv preprint arXiv:1912.04108 ( 2019 ). Liang Zhao, Yang Wang, Daxiang Dong, and Hao Tian. 2019. Learning to Recommend via Meta Parameter Partition. arXiv preprint arXiv:1912.04108 (2019)."}],"event":{"name":"CIKM '21: The 30th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Queensland Australia","acronym":"CIKM '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 30th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482239","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459637.3482239","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:12Z","timestamp":1750191132000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482239"}},"subtitle":["A Cluster-based Meta-learning Model for Session-based Recommendation"],"short-title":[],"issued":{"date-parts":[[2021,10,26]]},"references-count":37,"alternative-id":["10.1145\/3459637.3482239","10.1145\/3459637"],"URL":"https:\/\/doi.org\/10.1145\/3459637.3482239","relation":{},"subject":[],"published":{"date-parts":[[2021,10,26]]},"assertion":[{"value":"2021-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}