{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:14:20Z","timestamp":1730200460244,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9378326","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T17:10:21Z","timestamp":1616173821000},"page":"1273-1282","source":"Crossref","is-referenced-by-count":2,"title":["Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services"],"prefix":"10.1109","author":[{"given":"Yuan","family":"Wang","sequence":"first","affiliation":[]},{"given":"Chenwei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yinan","family":"Ling","sequence":"additional","affiliation":[]},{"given":"Keita","family":"Yokoyama","sequence":"additional","affiliation":[]},{"given":"Hsin-Tai","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Fang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2804291"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2011.03.002"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3141\/2387-06"},{"key":"ref13","first-page":"1995","article-title":"Convolutional networks for images, speech, and time series","volume":"3361","author":"lecun","year":"1995","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"journal-title":"Planet dump","year":"2017","key":"ref14"},{"article-title":"Self-normalizing neural networks","year":"2017","author":"klambauer","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2751607"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143874"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0177678"},{"key":"ref19","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2015.0202"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3356995.3364543"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3356471.3365238"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5450"},{"year":"2018","key":"ref5","article-title":"Loc2vec: Learning location embeddings with triplet-loss networks"},{"journal-title":"In defense of the triplet loss for person re-identification","year":"2017","author":"hermans","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013967"},{"journal-title":"You are here Geolocation by embedding maps and images","year":"2019","author":"abonce","key":"ref2"},{"key":"ref9","first-page":"535","article-title":"Bike sharing station site selection for gaziantep","volume":"35","author":"cetinkaya","year":"2017","journal-title":"Sigma Journal of Engineering and Natural Sciences"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3347146.3359067"},{"article-title":"Deep manifold traversal: Changing labels with convolutional features","year":"2015","author":"gardner","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.645"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_11"},{"journal-title":"Bike Share Service Website","year":"2019","key":"ref24"},{"article-title":"Umap: Uniform manifold approximation and projection for dimension reduction","year":"2018","author":"mcinnes","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref25"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2020,12,10]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09378326.pdf?arnumber=9378326","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:58:12Z","timestamp":1656331092000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378326\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378326","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}