{"id":"https://openalex.org/W2809159945","doi":"https://doi.org/10.1145/3219819.3220009","title":"Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries","display_name":"Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2809159945","doi":"https://doi.org/10.1145/3219819.3220009","mag":"2809159945"},"language":"en","primary_location":{"id":"doi:10.1145/3219819.3220009","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3220009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046835504","display_name":"Ying Sun","orcid":"https://orcid.org/0000-0002-4763-6060"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Sun","raw_affiliation_strings":["Institute of Computing Technology, CAS, University of Chinese Academy of Sciences, &Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, University of Chinese Academy of Sciences, &Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038","https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["Baidu Inc., BEIJING, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., BEIJING, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041921496","display_name":"Fuzhen Zhuang","orcid":"https://orcid.org/0000-0001-9170-7009"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Institute of Computing Technology, CAS &University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS &University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370034","display_name":"Jingjing Gu","orcid":"https://orcid.org/0000-0002-3989-1520"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Gu","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, NANJING, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, NANJING, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100734672","display_name":"Qing He","orcid":"https://orcid.org/0000-0001-8833-5398"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing He","raw_affiliation_strings":["Institute of Computing Technology, CAS &University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS &University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.4544,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.98337643,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2269","last_page":"2278"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.7876080274581909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7197617292404175},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.6652287840843201},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.568683922290802},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5679700374603271},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5519331693649292},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.4717615246772766},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43612125515937805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40712597966194153},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4010840058326721},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3357350826263428},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.25971853733062744}],"concepts":[{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.7876080274581909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7197617292404175},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.6652287840843201},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.568683922290802},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5679700374603271},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5519331693649292},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.4717615246772766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43612125515937805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40712597966194153},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4010840058326721},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3357350826263428},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25971853733062744},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3219819.3220009","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3220009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-121306","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2018&rft.spage=2269&rft.aulast=Sun&rft.aufirst=&rft.atitle=Exploring+the+urban+region-of-interest+through+the+analysis+of+online+map+search+queries&rft.title=Proceedings+of+the+ACM+SIGKDD+International+Conference+on+Knowledge+Discovery+and+Data+Mining","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1612003148","https://openalex.org/W1673310716","https://openalex.org/W1764053936","https://openalex.org/W1880262756","https://openalex.org/W1887369574","https://openalex.org/W1990444226","https://openalex.org/W1992323181","https://openalex.org/W2017921654","https://openalex.org/W2023062030","https://openalex.org/W2044672016","https://openalex.org/W2046437626","https://openalex.org/W2070915285","https://openalex.org/W2072644219","https://openalex.org/W2073013176","https://openalex.org/W2077469664","https://openalex.org/W2110591510","https://openalex.org/W2126194848","https://openalex.org/W2139872359","https://openalex.org/W2153207204","https://openalex.org/W2160240805","https://openalex.org/W2171343266","https://openalex.org/W2294628100","https://openalex.org/W2394103513","https://openalex.org/W2405496393","https://openalex.org/W2466025545","https://openalex.org/W2508432084","https://openalex.org/W2517957495","https://openalex.org/W2535805784","https://openalex.org/W2562836854","https://openalex.org/W2743808405"],"related_works":["https://openalex.org/W2385119701","https://openalex.org/W2367831652","https://openalex.org/W2133515697","https://openalex.org/W2890423584","https://openalex.org/W4385953720","https://openalex.org/W2104700403","https://openalex.org/W2385764226","https://openalex.org/W2348361596","https://openalex.org/W2236009467","https://openalex.org/W4386246753"],"abstract_inverted_index":{"Urban":[0],"Region-of-Interest":[1],"(ROI)":[2],"refers":[3],"to":[4,73,87,176,197,215],"the":[5,20,31,38,53,63,74,110,132,149,179,199,222,232],"integrated":[6,172],"urban":[7,49,64,133,249],"areas":[8],"with":[9,168],"specific":[10],"functionalities":[11],"that":[12],"attract":[13],"people's":[14],"attentions":[15],"and":[16,26,43,67,76,126,139,203,245],"activities,":[17],"such":[18],"as":[19,144],"recreational":[21],"business":[22,50],"districts,":[23],"transportation":[24],"hubs,":[25],"city":[27],"landmarks.":[28],"Indeed,":[29,229],"at":[30],"macro":[32],"level,":[33,55],"ROI":[34,56,106,124,208],"is":[35],"one":[36],"of":[37,69,79,84,181,207],"representatives":[39],"for":[40,61,123,163],"agglomeration":[41],"economies,":[42],"plays":[44],"an":[45],"important":[46],"role":[47],"in":[48,90,97],"planning.":[51],"At":[52],"micro":[54],"provides":[57,117],"a":[58,91,102,118,159,186],"useful":[59],"venue":[60],"understanding":[62],"lives,":[65],"demands":[66,206],"mobilities":[68],"people.":[70],"However,":[71],"due":[72],"vague":[75],"diversified":[77],"nature":[78],"ROI,":[80],"it":[81],"still":[82],"lacks":[83],"quantitative":[85],"ways":[86],"investigate":[88],"ROIs":[89],"holistic":[92],"manner.":[93],"To":[94],"this":[95,98],"end,":[96],"paper":[99],"we":[100,129,157,184,211,237],"propose":[101,158],"systematic":[103],"study":[104],"on":[105,148,221,248],"analysis":[107],"through":[108],"mining":[109],"large-scale":[111,223],"online":[112],"map":[113,154],"query":[114],"logs,":[115],"which":[116],"new":[119],"data-driven":[120],"research":[121],"paradigm":[122],"detection":[125],"profiling.":[127],"Specifically,":[128],"first":[130],"divide":[131],"area":[134],"into":[135,171],"small":[136],"region":[137,166],"grids,":[138],"calculate":[140],"their":[141],"PageRank":[142],"value":[143],"visiting":[145],"popularity":[146,170],"based":[147,220],"transition":[150],"information":[151],"extracted":[152],"from":[153,227,235],"queries.":[155],"Then,":[156],"density-based":[160],"clustering":[161],"method":[162],"merging":[164],"neighboring":[165],"grids":[167],"high":[169],"ROIs.":[173],"After":[174],"that,":[175],"further":[177],"explore":[178],"profiles":[180],"different":[182],"ROIs,":[183],"develop":[185],"spatial-temporal":[187],"latent":[188,200],"factor":[189],"model":[190],"URPTM":[191],"(Urban":[192],"Roi":[193],"Profiling":[194],"Topic":[195],"Model)":[196],"identify":[198],"travel":[201,243],"patterns":[202,244],"Point-of-Interest":[204],"(POI)":[205],"visitors.":[209],"Finally,":[210],"implement":[212],"extensive":[213],"experiments":[214],"empirically":[216],"evaluate":[217],"our":[218],"approaches":[219],"real-world":[224],"data":[225],"collected":[226],"Beijing.":[228],"by":[230],"visualizing":[231],"results":[233],"obtained":[234],"URPTM,":[236],"can":[238],"successfully":[239],"obtain":[240],"many":[241],"meaningful":[242],"interesting":[246],"discoveries":[247],"lives.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}