{"id":"https://openalex.org/W3080135936","doi":"https://doi.org/10.1145/3404555.3404613","title":"Region2vec","display_name":"Region2vec","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W3080135936","doi":"https://doi.org/10.1145/3404555.3404613","mag":"3080135936"},"language":"en","primary_location":{"id":"doi:10.1145/3404555.3404613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102370131","display_name":"Mingjun Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingjun Xiang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing City, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing City, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102370131"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.2815,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83625167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7233898043632507},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.6564360857009888},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5833581686019897},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.5555456876754761},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.5428244471549988},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5342497229576111},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.53104168176651},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5054717063903809},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5035924315452576},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.4422638416290283},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.43257761001586914},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3095850348472595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28357094526290894},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19948247075080872},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.15953248739242554},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10027840733528137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233898043632507},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.6564360857009888},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5833581686019897},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.5555456876754761},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.5428244471549988},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5342497229576111},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.53104168176651},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5054717063903809},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5035924315452576},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.4422638416290283},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.43257761001586914},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3095850348472595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28357094526290894},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19948247075080872},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.15953248739242554},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10027840733528137},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404555.3404613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1157380099","https://openalex.org/W1880262756","https://openalex.org/W2023596329","https://openalex.org/W2051025556","https://openalex.org/W2083606554","https://openalex.org/W2121915926","https://openalex.org/W2132504805","https://openalex.org/W2153207204","https://openalex.org/W2153579005","https://openalex.org/W2202958134","https://openalex.org/W2250539671","https://openalex.org/W2320818762","https://openalex.org/W2321493536","https://openalex.org/W2534538876","https://openalex.org/W2708165930","https://openalex.org/W2766529052","https://openalex.org/W2904703694","https://openalex.org/W2964579991"],"related_works":["https://openalex.org/W2139872359","https://openalex.org/W2743808405","https://openalex.org/W4385270215","https://openalex.org/W2889535606","https://openalex.org/W2900873536","https://openalex.org/W2576554443","https://openalex.org/W2051234849","https://openalex.org/W2905252995","https://openalex.org/W3102183165","https://openalex.org/W3004827789"],"abstract_inverted_index":{"With":[0],"the":[1,51,57,113,149,159,184,187],"advancement":[2],"of":[3,27,186],"urbanization,":[4],"urban":[5,21,87,160,171,198],"land":[6,22,88,118,161,172],"use":[7,89,119,162,173],"detection":[8],"has":[9],"become":[10],"a":[11,136],"research":[12,191],"hotspot.":[13],"Numerous":[14],"methods":[15],"have":[16,47],"been":[17],"proposed":[18,188],"to":[19,85,111,129,142,157],"identify":[20],"use,":[23],"in":[24,56,72,178],"which":[25],"points":[26],"interest":[28],"(POI)":[29],"data":[30,37,68,126,177],"is":[31,42,127,139],"widely":[32],"used,":[33],"and":[34,94,108,117,144,167],"sometimes":[35],"other":[36,170],"source":[38],"like":[39],"GPS":[40],"trajectories":[41],"incorporated.":[43],"However,":[44],"previous":[45],"works":[46],"hardly":[48],"fully":[49],"utilized":[50,128],"global":[52,114],"spatial":[53,115],"information":[54,73,116,195],"contained":[55],"POI":[58,93],"data,":[59],"or":[60],"ignored":[61],"correlations":[62],"between":[63],"features":[64,156],"when":[65],"integrating":[66],"multiple":[67],"source,":[69],"so":[70],"resulting":[71],"loss.":[74],"In":[75],"this":[76],"study,":[77],"we":[78],"propose":[79],"an":[80],"integrated":[81],"framework":[82],"titled":[83],"Region2vec":[84],"detect":[86],"type":[90],"by":[91,104],"combining":[92],"mobile":[95,124],"phone":[96,125],"data.":[97],"First,":[98],"POI-based":[99,143],"region":[100],"embeddings":[101],"are":[102,152,165],"generated":[103],"applying":[105],"Glove":[106],"model":[107,110],"LDA":[109],"mine":[112],"topic":[120],"distributions":[121],"respectively.":[122],"The":[123,181],"generate":[130],"human":[131],"activity":[132,145],"pattern-based":[133,146],"embeddings.":[134,147],"Then":[135],"similarity":[137,150],"matrix":[138],"constructed":[140],"according":[141],"Finally,":[148],"measures":[151],"regarded":[153],"as":[154],"clustering":[155],"extract":[158],"results.":[163],"Experiments":[164],"implemented":[166],"compared":[168],"with":[169],"algorithms":[174],"based":[175],"on":[176],"Sanya,":[179],"China.":[180],"results":[182],"demonstrate":[183],"effectiveness":[185],"framework.":[189],"This":[190],"can":[192],"provide":[193],"effective":[194],"support":[196],"for":[197],"planning.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-09-01T00:00:00"}