{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T19:57:59Z","timestamp":1780343879453,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":59,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,8,3]]},"DOI":"10.1145\/3711896.3736937","type":"proceedings-article","created":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T13:30:13Z","timestamp":1754055013000},"page":"262-273","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8502-1016","authenticated-orcid":false,"given":"Yile","family":"Chen","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4868-2634","authenticated-orcid":false,"given":"Yicheng","family":"Tao","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3891-365X","authenticated-orcid":false,"given":"Yue","family":"Jiang","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9566-3127","authenticated-orcid":false,"given":"Shuai","family":"Liu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6893-8650","authenticated-orcid":false,"given":"Han","family":"Yu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4430-6373","authenticated-orcid":false,"given":"Gao","family":"Cong","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,8,3]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"LAMP: A Language Model on the Map. CoRR","author":"Balsebre Pasquale","year":"2024","unstructured":"Pasquale Balsebre, Weiming Huang, and Gao Cong. 2024. LAMP: A Language Model on the Map. CoRR, Vol. abs\/2403.09059 (2024)."},{"key":"e_1_3_2_2_2_1","first-page":"2227","article-title":"Learning Points and Routes to Recommend Trajectories","author":"Chen Dawei","year":"2016","unstructured":"Dawei Chen, Cheng Soon Ong, and Lexing Xie. 2016. Learning Points and Routes to Recommend Trajectories. In CIKM. 2227-2232.","journal-title":"CIKM."},{"key":"e_1_3_2_2_3_1","first-page":"15750","article-title":"Exploring Simple Siamese Representation Learning","author":"Chen Xinlei","year":"2021","unstructured":"Xinlei Chen and Kaiming He. 2021. Exploring Simple Siamese Representation Learning. In CVPR. 15750-15758.","journal-title":"CVPR."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.14778\/3632093.3632105"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103265"},{"key":"e_1_3_2_2_6_1","first-page":"900","article-title":"Discovering popular routes from trajectories","author":"Chen Zaiben","year":"2011","unstructured":"Zaiben Chen, Heng Tao Shen, and Xiaofang Zhou. 2011. Discovering popular routes from trajectories. In ICDE. 900-911.","journal-title":"ICDE."},{"key":"e_1_3_2_2_7_1","first-page":"4171","article-title":"BERT","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL. 4171-4186.","journal-title":"Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL."},{"key":"e_1_3_2_2_8_1","volume-title":"AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction. NAACL","author":"Feng Jie","year":"2025","unstructured":"Jie Feng, Yuwei Du, Jie Zhao, and Yong Li. 2025. AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction. NAACL (2025)."},{"key":"e_1_3_2_2_9_1","first-page":"1459","article-title":"DeepMove","author":"Feng Jie","year":"2018","unstructured":"Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, and Depeng Jin. 2018. DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. In WWW. 1459-1468.","journal-title":"Predicting Human Mobility with Attentional Recurrent Networks. In WWW."},{"key":"e_1_3_2_2_10_1","first-page":"2069","article-title":"Personalized Ranking Metric Embedding for Next New POI Recommendation","author":"Feng Shanshan","year":"2015","unstructured":"Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, and Quan Yuan. 2015. Personalized Ranking Metric Embedding for Next New POI Recommendation. In IJCAI. 2069-2075.","journal-title":"IJCAI."},{"key":"e_1_3_2_2_11_1","volume-title":"Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. CoRR","author":"Feng Shanshan","year":"1855","unstructured":"Shanshan Feng, Haoming Lyu, Caishun Chen, and Yew-Soon Ong. 2024. Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. CoRR, Vol. abs\/2404.01855 (2024)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Letian Gong Yan Lin Xinyue Zhang Yiwen Lu Xuedi Han Yichen Liu Shengnan Guo Youfang Lin and Huaiyu Wan. 2024. Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models. In NeurIPS.","DOI":"10.52202\/079017-1141"},{"key":"e_1_3_2_2_13_1","unstructured":"Wes Gurnee and Max Tegmark. 2024. Language Models Represent Space and Time. In ICLR."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_2_15_1","unstructured":"Edward J. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang and Weizhu Chen. 2022. LoRA: Low-Rank Adaptation of Large Language Models. In ICLR."},{"key":"e_1_3_2_2_16_1","volume-title":"Large Language Models on Graphs: A Comprehensive Survey. CoRR","author":"Jin Bowen","year":"2023","unstructured":"Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, and Jiawei Han. 2023. Large Language Models on Graphs: A Comprehensive Survey. CoRR, Vol. abs\/2312.02783 (2023)."},{"key":"e_1_3_2_2_17_1","unstructured":"Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang Xiaoming Shi Pin-Yu Chen Yuxuan Liang Yuan-Fang Li Shirui Pan and Qingsong Wen. 2024. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. In ICLR."},{"key":"e_1_3_2_2_18_1","volume-title":"Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity. CoRR","author":"Lai Siqi","year":"2023","unstructured":"Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, and Hui Xiong. 2023. Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity. CoRR, Vol. abs\/2312.16044 (2023)."},{"key":"e_1_3_2_2_19_1","first-page":"1452","article-title":"Disentangled Contrastive Hypergraph Learning for Next POI Recommendation","author":"Lai Yantong","year":"2024","unstructured":"Yantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, and Xingxing Wang. 2024. Disentangled Contrastive Hypergraph Learning for Next POI Recommendation. In SIGIR. 1452-1462.","journal-title":"SIGIR."},{"key":"e_1_3_2_2_20_1","first-page":"11513","article-title":"Autoregressive Image Generation using Residual Quantization","author":"Lee Doyup","year":"2022","unstructured":"Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, and Wook-Shin Han. 2022. Autoregressive Image Generation using Residual Quantization. In CVPR. 11513-11522.","journal-title":"CVPR."},{"key":"e_1_3_2_2_21_1","first-page":"1463","article-title":"Large Language Models for Next Point-of-Interest Recommendation","author":"Li Peibo","year":"2024","unstructured":"Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, and Flora D. Salim. 2024a. Large Language Models for Next Point-of-Interest Recommendation. In SIGIR. 1463-1472.","journal-title":"SIGIR."},{"key":"e_1_3_2_2_22_1","first-page":"5351","article-title":"UrbanGPT","author":"Li Zhonghang","year":"2024","unstructured":"Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, and Chao Huang. 2024b. UrbanGPT: Spatio-Temporal Large Language Models. In KDD. 5351-5362.","journal-title":"Spatio-Temporal Large Language Models. In KDD."},{"key":"e_1_3_2_2_23_1","first-page":"1229","article-title":"TrajFormer","author":"Liang Yuxuan","year":"2022","unstructured":"Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, and Roger Zimmermann. 2022. TrajFormer: Efficient Trajectory Classification with Transformers. In CIKM. 1229-1237.","journal-title":"Efficient Trajectory Classification with Transformers. In CIKM."},{"key":"e_1_3_2_2_24_1","volume-title":"Renrong Weng, and Jagannadan Varadarajan.","author":"Lim Nicholas","year":"2020","unstructured":"Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, and Jagannadan Varadarajan. 2020. STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. In CIKM. 845-854."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16548"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939773"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485125"},{"key":"e_1_3_2_2_28_1","first-page":"2177","article-title":"STAN","author":"Luo Yingtao","year":"2021","unstructured":"Yingtao Luo, Qiang Liu, and Zhaocheng Liu. 2021. STAN: Spatio-Temporal Attention Network for Next Location Recommendation. In WWW. 2177-2185.","journal-title":"Spatio-Temporal Attention Network for Next Location Recommendation. In WWW."},{"key":"e_1_3_2_2_29_1","unstructured":"Rohin Manvi Samar Khanna Gengchen Mai Marshall Burke David B. Lobell and Stefano Ermon. 2024. GeoLLM: Extracting Geospatial Knowledge from Large Language Models. In ICLR."},{"key":"e_1_3_2_2_30_1","first-page":"911","article-title":"Predicting future locations with hidden Markov models","author":"Mathew Wesley","year":"2012","unstructured":"Wesley Mathew, Ruben Raposo, and Bruno Martins. 2012. Predicting future locations with hidden Markov models. In Ubicomp. 911-918.","journal-title":"Ubicomp."},{"key":"e_1_3_2_2_31_1","unstructured":"Meta. 2024. Llama-3.2-1B-Instruct. https:\/\/huggingface.co\/meta-llama\/Llama-3.2-1B-Instruct."},{"key":"e_1_3_2_2_32_1","first-page":"1050","article-title":"A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data","author":"Miao Hao","year":"2024","unstructured":"Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, and Christian S. Jensen. 2024. A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. In ICDE. 1050-1062.","journal-title":"ICDE."},{"key":"e_1_3_2_2_33_1","first-page":"1463","article-title":"Graph-Flashback Network for Next Location Recommendation","author":"Rao Xuan","year":"2022","unstructured":"Xuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, and Peng Han. 2022. Graph-Flashback Network for Next Location Recommendation. In KDD. 1463-1471.","journal-title":"KDD."},{"key":"e_1_3_2_2_34_1","first-page":"1410","article-title":"MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning","author":"Ren Huimin","year":"2021","unstructured":"Huimin Ren, Sijie Ruan, Yanhua Li, Jie Bao, Chuishi Meng, Ruiyuan Li, and Yu Zheng. 2021. MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning. In KDD. 1410-1419.","journal-title":"KDD."},{"key":"e_1_3_2_2_35_1","first-page":"811","article-title":"Factorizing personalized Markov chains for next-basket recommendation","author":"Rendle Steffen","year":"2010","unstructured":"Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2010. Factorizing personalized Markov chains for next-basket recommendation. In WWW. 811-820.","journal-title":"WWW."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3297115"},{"key":"e_1_3_2_2_37_1","first-page":"833","article-title":"Calibrating trajectory data for similarity-based analysis","author":"Su Han","year":"2013","unstructured":"Han Su, Kai Zheng, Haozhou Wang, Jiamin Huang, and Xiaofang Zhou. 2013. Calibrating trajectory data for similarity-based analysis. In SIGMOD. 833-844.","journal-title":"SIGMOD."},{"key":"e_1_3_2_2_38_1","first-page":"1734","article-title":"PeriodicMove","author":"Sun Hao","year":"2021","unstructured":"Hao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, and Kai Zheng. 2021. PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network. In CIKM. 1734-1743.","journal-title":"Shift-aware Human Mobility Recovery with Graph Neural Network. In CIKM."},{"key":"e_1_3_2_2_39_1","volume-title":"Quoc Viet Hung Nguyen, and Hongzhi Yin","author":"Sun Ke","year":"2020","unstructured":"Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, and Hongzhi Yin. 2020. Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. In AAAI. 214-221."},{"key":"e_1_3_2_2_40_1","first-page":"2784","article-title":"Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity","author":"Sun Tianao","year":"2024","unstructured":"Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, and Meng Chen. 2024. Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. In KDD. 2784-2793.","journal-title":"KDD."},{"key":"e_1_3_2_2_41_1","first-page":"6306","article-title":"Neural Discrete Representation Learning","author":"van den Oord A\u00e4ron","year":"2017","unstructured":"A\u00e4ron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu. 2017. Neural Discrete Representation Learning. In NIPS. 6306-6315.","journal-title":"NIPS."},{"key":"e_1_3_2_2_42_1","unstructured":"Jiawei Wang Renhe Jiang Chuang Yang Zengqing Wu Makoto Onizuka Ryosuke Shibasaki and Chuan Xiao. 2024. Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation. In NeurIPS."},{"key":"e_1_3_2_2_43_1","first-page":"921","article-title":"Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter","volume":"33","author":"Wang Jingyuan","year":"2021","unstructured":"Jingyuan Wang, Ning Wu, Xinxi Lu, Wayne Xin Zhao, and Kai Feng. 2021. Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter. IEEE Trans. Knowl. Data Eng., Vol. 33, 3 (2021), 921-934.","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783350"},{"key":"e_1_3_2_2_45_1","volume-title":"Salim","author":"Wongso Wilson","year":"2024","unstructured":"Wilson Wongso, Hao Xue, and Flora D. Salim. 2024. GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems. CoRR, Vol. abs\/2410.20643 (2024)."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3002531"},{"key":"e_1_3_2_2_47_1","first-page":"5458","article-title":"Modelling of Bi-Directional Spatio-Temporal Dependence and Users","author":"Xi Dongbo","year":"2019","unstructured":"Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, and Qing He. 2019. Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. In AAAI. 5458-5465.","journal-title":"Dynamic Preferences for Missing POI Check-In Identification. In AAAI."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16577"},{"key":"e_1_3_2_2_49_1","unstructured":"Jian Xie Kai Zhang Jiangjie Chen Tinghui Zhu Renze Lou Yuandong Tian Yanghua Xiao and Yu Su. 2024. TravelPlanner: A Benchmark for Real-World Planning with Language Agents. In ICML."},{"key":"e_1_3_2_2_50_1","first-page":"403","article-title":"Spatio-Temporal Hypergraph Learning for Next POI Recommendation","author":"Yan Xiaodong","year":"2023","unstructured":"Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, and Wei Chu. 2023. Spatio-Temporal Hypergraph Learning for Next POI Recommendation. In SIGIR. 403-412.","journal-title":"SIGIR."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2014.2327053"},{"key":"e_1_3_2_2_52_1","first-page":"1144","article-title":"GETNext","author":"Yang Song","year":"2022","unstructured":"Song Yang, Jiamou Liu, and Kaiqi Zhao. 2022. GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. In SIGIR. 1144-1153.","journal-title":"In SIGIR."},{"key":"e_1_3_2_2_53_1","first-page":"4413","article-title":"Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data","author":"Yu Fudan","year":"2022","unstructured":"Fudan Yu, Wenxuan Ao, Huan Yan, Guozhen Zhang, Wei Wu, and Yong Li. 2022. Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data. In KDD. 4413-4421.","journal-title":"KDD."},{"key":"e_1_3_2_2_54_1","first-page":"363","article-title":"Time-aware point-of-interest recommendation","author":"Yuan Quan","year":"2013","unstructured":"Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, and Nadia Magnenat-Thalmann. 2013. Time-aware point-of-interest recommendation. In SIGIR. 363-372.","journal-title":"SIGIR."},{"key":"e_1_3_2_2_55_1","volume-title":"A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. CoRR","author":"Zhang Qianru","year":"2024","unstructured":"Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, and Hongzhi Yin. 2024b. A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. CoRR, Vol. abs\/2410.02191 (2024)."},{"key":"e_1_3_2_2_56_1","first-page":"6633","article-title":"Urban Foundation Models: A Survey","author":"Zhang Weijia","year":"2024","unstructured":"Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, and Hui Xiong. 2024a. Urban Foundation Models: A Survey. In KDD. 6633-6643.","journal-title":"KDD."},{"key":"e_1_3_2_2_57_1","unstructured":"Wayne Xin Zhao Kun Zhou Junyi Li Tianyi Tang Xiaolei Wang Yupeng Hou Yingqian Min et al. 2023. A Survey of Large Language Models. CoRR Vol. abs\/2303.18223 (2023)."},{"key":"e_1_3_2_2_58_1","first-page":"1435","article-title":"Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation","author":"Zheng Bowen","year":"2024","unstructured":"Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, and Ji-Rong Wen. 2024. Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. In ICDE. 1435-1448.","journal-title":"ICDE."},{"key":"e_1_3_2_2_59_1","volume-title":"PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval. CoRR","author":"Zhu He","year":"1927","unstructured":"He Zhu, Wenjia Zhang, Nuoxian Huang, Boyang Li, Luyao Niu, Zipei Fan, Tianle Lun, Yicheng Tao, Junyou Su, Zhaoya Gong, Chenyu Fang, and Xing Liu. 2024. PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval. CoRR, Vol. abs\/2402.19273 (2024)."}],"event":{"name":"KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Toronto ON Canada","acronym":"KDD '25","sponsor":["SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3711896.3736937","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T18:10:10Z","timestamp":1777572610000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3711896.3736937"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,3]]},"references-count":59,"alternative-id":["10.1145\/3711896.3736937","10.1145\/3711896"],"URL":"https:\/\/doi.org\/10.1145\/3711896.3736937","relation":{},"subject":[],"published":{"date-parts":[[2025,8,3]]},"assertion":[{"value":"2025-08-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}