{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T05:54:43Z","timestamp":1788501283766,"version":"build-2803163510"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T00:00:00Z","timestamp":1709510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Research Foundation of Korea (NRF)","award":["RS-2023-00243243"],"award-info":[{"award-number":["RS-2023-00243243"]}]},{"name":"Institute of Information & communications Technology Planning & Evaluation (IITP)","award":["2021-0-01343"],"award-info":[{"award-number":["2021-0-01343"]}]},{"name":"Institute of Information & communications Technology Planning & Evaluation (IITP)","award":["2021-0-02068"],"award-info":[{"award-number":["2021-0-02068"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,3,4]]},"DOI":"10.1145\/3616855.3635824","type":"proceedings-article","created":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T18:18:12Z","timestamp":1709576292000},"page":"616-625","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Proxy-based Item Representation for Attribute and Context-aware Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7394-6871","authenticated-orcid":false,"given":"Jinseok","family":"Seol","sequence":"first","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9456-9092","authenticated-orcid":false,"given":"Minseok","family":"Gang","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0063-0083","authenticated-orcid":false,"given":"Sang-goo","family":"Lee","sequence":"additional","affiliation":[{"name":"Seoul National University & IntelliSys Co., Ltd., Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7385-5494","authenticated-orcid":false,"given":"Jaehui","family":"Park","sequence":"additional","affiliation":[{"name":"University of Seoul, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,3,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Understanding Scaling Laws for Recommendation Models. arXiv preprint arXiv:2208.08489","author":"Ardalani Newsha","year":"2022","unstructured":"Newsha Ardalani, Carole-Jean Wu, Zeliang Chen, Bhargav Bhushanam, and Adnan Aziz. 2022. Understanding Scaling Laws for Recommendation Models. arXiv preprint arXiv:2208.08489 (2022)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-018-9654-y"},{"key":"e_1_3_2_1_3_1","first-page":"9912","article-title":"Unsupervised Learning of Visual Features by Contrasting Cluster Assignments","volume":"33","author":"Caron Mathilde","year":"2020","unstructured":"Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin. 2020. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. Advances in Neural Information Processing Systems 33 (2020), 9912--9924.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531897"},{"key":"e_1_3_2_1_6_1","volume-title":"International Conference on Machine Learning. 1597--1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In International Conference on Machine Learning. 1597--1607."},{"key":"e_1_3_2_1_7_1","volume-title":"Clustered Embedding Learning for Recommender Systems. In The World Wide Web Conference.","author":"Chen Yizhou","year":"2023","unstructured":"Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Hengyi Li, Jingyi Li, Yabo Ni, Han Yu, and Zhiming Zhou. 2023. Clustered Embedding Learning for Recommender Systems. In The World Wide Web Conference."},{"key":"e_1_3_2_1_8_1","volume-title":"Intent Contrastive Learning for Sequential Recommendation. arXiv preprint arXiv:2202.02519","author":"Chen Yongjun","year":"2022","unstructured":"Yongjun Chen, Zhiwei Liu, Jia Li, Julian McAuley, and Caiming Xiong. 2022a. Intent Contrastive Learning for Sequential Recommendation. arXiv preprint arXiv:2202.02519 (2022)."},{"key":"e_1_3_2_1_9_1","volume-title":"Masked Contrastive Learning for Anomaly Detection. The 30th International Joint Conference on Artificial Intelligence","author":"Cho Hyunsoo","year":"2021","unstructured":"Hyunsoo Cho, Jinseok Seol, and Sang-goo Lee. 2021b. Masked Contrastive Learning for Anomaly Detection. The 30th International Joint Conference on Artificial Intelligence (2021)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462958"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403113"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482242"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/3172077.3172127"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9973"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467304"},{"key":"e_1_3_2_1_18_1","volume-title":"Self-attentive Sequential Recommendation. In 2018 IEEE International Conference on Data Mining. 197--206","author":"Kang Wang-Cheng","year":"2018","unstructured":"Wang-Cheng Kang and Julian McAuley. 2018. Self-attentive Sequential Recommendation. In 2018 IEEE International Conference on Data Mining. 197--206."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00330"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_21_1","volume-title":"Prototypical Contrastive Learning of Unsupervised Representations. International Conference on Learning Representations","author":"Li Junnan","year":"2021","unstructured":"Junnan Li, Pan Zhou, Caiming Xiong, and Steven CH Hoi. 2021b. Prototypical Contrastive Learning of Unsupervised Representations. International Conference on Learning Representations (2021)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482448"},{"key":"e_1_3_2_1_23_1","volume-title":"2021 International Conference on Learning Representations","author":"Liu Siyi","year":"2021","unstructured":"Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, and Yong Li. 2021. Learnable embedding sizes for recommender systems. 2021 International Conference on Learning Representations (2021)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"e_1_3_2_1_25_1","volume-title":"Distributed Representations of Words and Phrases and their Compositionality. Advances in Neural Information Processing Systems 26","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. Advances in Neural Information Processing Systems 26 (2013)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.47"},{"key":"e_1_3_2_1_27_1","volume-title":"IEEE International Symposium on Information Theory. 2786--2791","author":"Naumov Maxim","year":"2021","unstructured":"Maxim Naumov, Dheevatsa Mudigere, Jiyan Yang, and James Zou. 2021. Mixed Dimension Embeddings with Application to Memory-efficient Recommendation Systems. In IEEE International Symposium on Information Theory. 2786--2791."},{"key":"e_1_3_2_1_28_1","volume-title":"SLIM: Sparse Linear Methods for Top-n Recommender Systems. In IEEE 11th International Conference on Data Mining. 497--506","author":"Ning Xia","year":"2011","unstructured":"Xia Ning and George Karypis. 2011. SLIM: Sparse Linear Methods for Top-n Recommender Systems. In IEEE 11th International Conference on Data Mining. 497--506."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3546785"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3548487"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00148"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109896"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3546777"},{"key":"e_1_3_2_1_34_1","volume-title":"Factorization Machines. In IEEE International Conference on Data Mining. 995--1000","author":"Rendle Steffen","year":"2010","unstructured":"Steffen Rendle. 2010. Factorization Machines. In IEEE International Conference on Data Mining. 995--1000."},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence. 452--461","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian Personalized Ranking from Implicit Feedback. In Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence. 452--461."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531910"},{"key":"e_1_3_2_1_38_1","volume-title":"UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems. International Conference on Learning Representations.","author":"Shen Jiayi","year":"2021","unstructured":"Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, and Ji Liu. 2021. UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems. International Conference on Learning Representations."},{"key":"e_1_3_2_1_39_1","volume-title":"Improved Deep Metric Learning with Multi-class n-pair Loss Objective. Advances in Neural Information Processing Systems 29","author":"Sohn Kihyuk","year":"2016","unstructured":"Kihyuk Sohn. 2016. Improved Deep Metric Learning with Multi-class n-pair Loss Objective. Advances in Neural Information Processing Systems 29 (2016)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331337"},{"key":"e_1_3_2_1_42_1","volume-title":"Attention is All You Need. Advances in Neural Information Processing Systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All You Need. Advances in Neural Information Processing Systems 30 (2017)."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/883"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475665"},{"key":"e_1_3_2_1_45_1","volume-title":"On the Unreasonable Effectiveness of Centroids in Image Retrieval. In Neural Information Processing: 28th International Conference, ICONIP 2021, Proceedings, Part IV 28","author":"Wieczorek Miko\u0142aj","year":"2021","unstructured":"Miko\u0142aj Wieczorek, Barbara Rychalska, and Jacek Dka browski. 2021. On the Unreasonable Effectiveness of Centroids in Image Retrieval. In Neural Information Processing: 28th International Conference, ICONIP 2021, Proceedings, Part IV 28. Springer, 212--223."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412258"},{"key":"e_1_3_2_1_47_1","volume-title":"Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers. Advances in Neural Information Processing Systems 32","author":"Wu Liwei","year":"2019","unstructured":"Liwei Wu, Shuqing Li, Cho-Jui Hsieh, and James L Sharpnack. 2019. Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers. Advances in Neural Information Processing Systems 32 (2019)."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/447"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482130"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00696"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.14778\/2311906.2311916"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.427"},{"key":"e_1_3_2_1_53_1","volume-title":"Memory-efficient Embedding for Recommendations. arXiv preprint arXiv:2006.14827","author":"Zhao Xiangyu","year":"2020","unstructured":"Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, and Bo Long. 2020. Memory-efficient Embedding for Recommendations. arXiv preprint arXiv:2006.14827 (2020)."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411954"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462843"}],"event":{"name":"WSDM '24: The 17th ACM International Conference on Web Search and Data Mining","location":"Merida Mexico","acronym":"WSDM '24","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 17th ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3616855.3635824","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3616855.3635824","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:54:29Z","timestamp":1755824069000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3616855.3635824"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,4]]},"references-count":55,"alternative-id":["10.1145\/3616855.3635824","10.1145\/3616855"],"URL":"https:\/\/doi.org\/10.1145\/3616855.3635824","relation":{},"subject":[],"published":{"date-parts":[[2024,3,4]]},"assertion":[{"value":"2024-03-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}