{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:59:45Z","timestamp":1772906385755,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":5,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T00:00:00Z","timestamp":1699833600000},"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":[[2023,11,13]]},"DOI":"10.1145\/3615894.3628500","type":"proceedings-article","created":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T18:56:20Z","timestamp":1699383380000},"page":"26-31","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Estimating future human trajectories from sparse time series data"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4157-1634","authenticated-orcid":false,"given":"Ryo","family":"Koyama","sequence":"first","affiliation":[{"name":"Independent, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8549-1032","authenticated-orcid":false,"given":"Meisaku","family":"Suzuki","sequence":"additional","affiliation":[{"name":"Independent, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4167-9469","authenticated-orcid":false,"given":"Yusuke","family":"Nakamura","sequence":"additional","affiliation":[{"name":"Independent, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6536-7073","authenticated-orcid":false,"given":"Tomohiro","family":"Mimura","sequence":"additional","affiliation":[{"name":"Independent, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8097-8360","authenticated-orcid":false,"given":"Shin","family":"Ishiguro","sequence":"additional","affiliation":[{"name":"University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,11,13]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Tianqi Chen Tong He Michael Benesty Vadim Khotilovich Yuan Tang Hyunsu Cho Kailong Chen Rory Mitchell Ignacio Cano Tianyi Zhou etal 2015. Xgboost: extreme gradient boosting. R package version 0.4--2 1 4 (2015) 1--4.  Tianqi Chen Tong He Michael Benesty Vadim Khotilovich Yuan Tang Hyunsu Cho Kailong Chen Rory Mitchell Ignacio Cano Tianyi Zhou et al. 2015. Xgboost: extreme gradient boosting. R package version 0.4--2 1 4 (2015) 1--4."},{"key":"e_1_3_2_1_2_1","volume-title":"Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems 30","author":"Ke Guolin","year":"2017","unstructured":"Guolin Ke , Qi Meng , Thomas Finley , Taifeng Wang , Wei Chen , Weidong Ma , Qiwei Ye , and Tie-Yan Liu . 2017 . Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems 30 (2017). Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, and Tie-Yan Liu. 2017. Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_3_1","volume-title":"Anna Veronika Dorogush, and Andrey Gulin","author":"Prokhorenkova Liudmila","year":"2018","unstructured":"Liudmila Prokhorenkova , Gleb Gusev , Aleksandr Vorobev , Anna Veronika Dorogush, and Andrey Gulin . 2018 . CatBoost: unbiased boosting with categorical features. Advances in neural information processing systems 31 (2018). Liudmila Prokhorenkova, Gleb Gusev, Aleksandr Vorobev, Anna Veronika Dorogush, and Andrey Gulin. 2018. CatBoost: unbiased boosting with categorical features. Advances in neural information processing systems 31 (2018)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3557915.3560951"},{"key":"e_1_3_2_1_5_1","volume-title":"Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. arXiv preprint arXiv:2307.03401","author":"Yabe Takahiro","year":"2023","unstructured":"Takahiro Yabe , Kota Tsubouchi , Toru Shimizu , Yoshihide Sekimoto , Kaoru Sezaki , Esteban Moro , and Alex Pentland . 2023. Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. arXiv preprint arXiv:2307.03401 ( 2023 ). Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Kaoru Sezaki, Esteban Moro, and Alex Pentland. 2023. Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. arXiv preprint arXiv:2307.03401 (2023)."}],"event":{"name":"HuMob-Challenge '23: 1st International Workshop on the Human Mobility Prediction Challenge","location":"Hamburg Germany","acronym":"HuMob-Challenge '23","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 1st International Workshop on the Human Mobility Prediction Challenge"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615894.3628500","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:28Z","timestamp":1750178188000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615894.3628500"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,13]]},"references-count":5,"alternative-id":["10.1145\/3615894.3628500","10.1145\/3615894"],"URL":"https:\/\/doi.org\/10.1145\/3615894.3628500","relation":{},"subject":[],"published":{"date-parts":[[2023,11,13]]},"assertion":[{"value":"2023-11-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}