{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T08:14:31Z","timestamp":1786090471680,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"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":[[2019,7,25]]},"DOI":"10.1145\/3292500.3330660","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"2314-2324","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":60,"title":["Hydra"],"prefix":"10.1145","author":[{"given":"Hao","family":"Liu","sequence":"first","affiliation":[{"name":"Baidu Research, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongxin","family":"Tong","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Panpan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Baidu Research, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinjiang","family":"Lu","sequence":"additional","affiliation":[{"name":"Baidu Research, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianguo","family":"Duan","sequence":"additional","affiliation":[{"name":"Baidu Research, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Xiong","sequence":"additional","affiliation":[{"name":"Baidu Research &amp; Rutgers University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Algorithm engineering","author":"Bast Hannah"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Jian Dai Bin Yang Chenjuan Guo and Zhiming Ding. 2015. Personalized route recommendation using big trajectory data. In ICDE. 543--554.  Jian Dai Bin Yang Chenjuan Guo and Zhiming Ding. 2015. Personalized route recommendation using big trajectory data. In ICDE. 543--554.","DOI":"10.1109\/ICDE.2015.7113313"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Daniel Delling Julian Dibbelt Thomas Pajor Dorothea Wagner and Renato F Werneck. 2012. Computing and evaluating multimodal journeys .KIT Fakult\"at f\u00fcr Informatik.  Daniel Delling Julian Dibbelt Thomas Pajor Dorothea Wagner and Renato F Werneck. 2012. Computing and evaluating multimodal journeys .KIT Fakult\"at f\u00fcr Informatik.","DOI":"10.1007\/978-3-642-38527-8_24"},{"key":"e_1_3_2_1_6_1","volume-title":"mbox","author":"Julian Dibbelt","year":"2016"},{"key":"e_1_3_2_1_7_1","volume-title":"et almbox","author":"Friedman Jerome","year":"2000"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(01)00065-2"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2005.03.027"},{"key":"e_1_3_2_1_10_1","volume-title":"A non-singular horizontal position representation. The journal of navigation","author":"Gade Kenneth","year":"2010"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/1788888.1788912"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms. 156--165","author":"Goldberg Andrew V","year":"2005"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Yuxuan Liang Songyu Ke Junbo Zhang Xiuwen Yi and Yu Zheng. 2018. GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.. In IJCAI . 3428--3434.   Yuxuan Liang Songyu Ke Junbo Zhang Xiuwen Yi and Yu Zheng. 2018. GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.. In IJCAI . 3428--3434.","DOI":"10.24963\/ijcai.2018\/476"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Hao Liu Ting Li Renjun Hu Yanjie Fu Jingjing Gu and Hui Xiong. 2019. Joint Representation Learning for Multi-Modal Transportation Recommendation. In AAAI .  Hao Liu Ting Li Renjun Hu Yanjie Fu Jingjing Gu and Hui Xiong. 2019. Joint Representation Learning for Multi-Modal Transportation Recommendation. In AAAI .","DOI":"10.1609\/aaai.v33i01.33011036"},{"key":"e_1_3_2_1_16_1","unstructured":"Gilles Louppe Louis Wehenkel Antonio Sutera and Pierre Geurts. 2013. Understanding variable importances in forests of randomized trees. In Advances in neural information processing systems. 431--439.   Gilles Louppe Louis Wehenkel Antonio Sutera and Pierre Geurts. 2013. Understanding variable importances in forests of randomized trees. In Advances in neural information processing systems. 431--439."},{"key":"e_1_3_2_1_17_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119.   Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2742790"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220009"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/7.869506"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2006.101"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098018"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Yongxin Tong Jieying She Bolin Ding Libin Wang and Lei Chen. 2016. Online mobile Micro-Task Allocation in spatial crowdsourcing. In ICDE. 49--60.  Yongxin Tong Jieying She Bolin Ding Libin Wang and Lei Chen. 2016. Online mobile Micro-Task Allocation in spatial crowdsourcing. In ICDE. 49--60.","DOI":"10.1109\/ICDE.2016.7498228"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196929"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.14778\/3137628.3137643"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.14778\/3236187.3236211"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2749456"},{"key":"e_1_3_2_1_29_1","unstructured":"Yining Wang Liwei Wang Yuanzhi Li and Di He. 2013. A theoretical analysis of NDCG ranking measures. In COLT .  Yining Wang Liwei Wang Yuanzhi Li and Di He. 2013. A theoretical analysis of NDCG ranking measures. In COLT ."},{"key":"e_1_3_2_1_30_1","volume-title":"Intent-Aware Audience Targeting for Ride-Hailing Service","author":"Xia Yuan"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Fei Yi Zhiwen Yu Fuzhen Zhuang Xiao Zhang and Hui Xiong. 2018. An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. In ICDM. 1386--1391.  Fei Yi Zhiwen Yu Fuzhen Zhuang Xiao Zhang and Hui Xiong. 2018. An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. In ICDM. 1386--1391.","DOI":"10.1109\/ICDM.2018.00190"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2794981"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869807"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","volume-title":"Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing","author":"Zaharia Matei","DOI":"10.1145\/2886107.2886110"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2743025"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487609"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2532515"}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA","acronym":"KDD '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330660","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330660","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:09Z","timestamp":1750208529000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330660"}},"subtitle":["A Personalized and Context-Aware Multi-Modal Transportation Recommendation System"],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":36,"alternative-id":["10.1145\/3292500.3330660","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330660","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}