{"id":"https://openalex.org/W2167686542","doi":"https://doi.org/10.1145/1463434.1463477","title":"Mining user similarity based on location history","display_name":"Mining user similarity based on location history","publication_year":2008,"publication_date":"2008-11-05","ids":{"openalex":"https://openalex.org/W2167686542","doi":"https://doi.org/10.1145/1463434.1463477","mag":"2167686542"},"language":"en","primary_location":{"id":"doi:10.1145/1463434.1463477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1463434.1463477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems","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/A5066838116","display_name":"Quannan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quannan Li","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, P.R. China and Microsoft Research Asia, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, P.R. China and Microsoft Research Asia, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210113369","https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044651577","display_name":"Xing Xie","orcid":"https://orcid.org/0000-0002-8608-8482"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xie","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101672477","display_name":"Yukun Chen","orcid":"https://orcid.org/0000-0002-3639-5847"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Chen","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665053","display_name":"Wenyu Liu","orcid":"https://orcid.org/0000-0002-4582-7488"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Liu","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, P.R. China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103733614","display_name":"Wei\u2010Ying Ma","orcid":"https://orcid.org/0000-0002-7384-0735"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Ying Ma","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066838116"],"corresponding_institution_ids":["https://openalex.org/I4210113369","https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":18.2295,"has_fulltext":false,"cited_by_count":647,"citation_normalized_percentile":{"value":0.99491724,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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":0.9969000220298767,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.727324366569519},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.6678200960159302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658309817314148},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5907591581344604},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5857725739479065},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.5261635184288025},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5096843242645264},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48608139157295227},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.46029600501060486},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4421391785144806},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4410301446914673},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.434756338596344},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4074872136116028},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3328840732574463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21207451820373535},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12243789434432983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.10495150089263916}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.727324366569519},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6678200960159302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658309817314148},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5907591581344604},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5857725739479065},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.5261635184288025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5096843242645264},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48608139157295227},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.46029600501060486},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4421391785144806},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4410301446914673},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.434756338596344},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4074872136116028},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3328840732574463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21207451820373535},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12243789434432983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.10495150089263916},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1463434.1463477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1463434.1463477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.519.9993","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.519.9993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://research.microsoft.com/pubs/74369/mining user similarity based on location history.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W206739251","https://openalex.org/W1484428697","https://openalex.org/W1521536236","https://openalex.org/W1557342207","https://openalex.org/W1602506470","https://openalex.org/W1809001740","https://openalex.org/W1832221731","https://openalex.org/W1927224223","https://openalex.org/W2012580531","https://openalex.org/W2039826273","https://openalex.org/W2069249448","https://openalex.org/W2069870183","https://openalex.org/W2114353347","https://openalex.org/W2129857356","https://openalex.org/W2143394441","https://openalex.org/W2147693219","https://openalex.org/W2159094788","https://openalex.org/W2160240805","https://openalex.org/W2165046037","https://openalex.org/W2171960770","https://openalex.org/W3010461356","https://openalex.org/W3020921219"],"related_works":["https://openalex.org/W2284045667","https://openalex.org/W57923944","https://openalex.org/W2981287881","https://openalex.org/W1598081081","https://openalex.org/W2056226831","https://openalex.org/W1823511492","https://openalex.org/W4386612228","https://openalex.org/W3200484643","https://openalex.org/W4379207348","https://openalex.org/W2024635814"],"abstract_inverted_index":{"The":[0,22],"pervasiveness":[1],"of":[2,25,28,42,143,151,169],"location-acquisition":[3],"technologies":[4],"(GPS,":[5],"GSM":[6],"networks,":[7],"etc.)":[8],"enable":[9],"people":[10],"to":[11,32,39,53,71,88,106,118],"conveniently":[12],"log":[13],"the":[14,74,98,128,140,148,159,173,186],"location":[15,81,123],"histories":[16],"they":[17],"visited":[18],"with":[19,100],"spatio-temporal":[20,29],"data.":[21],"increasing":[23],"availability":[24],"large":[26],"amounts":[27],"data":[30,161],"pertaining":[31],"an":[33],"individual's":[34,122],"trajectories":[35],"has":[36],"given":[37],"rise":[38],"a":[40,167,177],"variety":[41],"geographic":[43,115,152],"information":[44,99,116],"systems,":[45],"and":[46,51,69,91,125,147,189],"also":[47],"brings":[48],"us":[49],"opportunities":[50],"challenges":[52],"automatically":[54],"discover":[55],"valuable":[56],"knowledge":[57],"from":[58],"these":[59],"trajectories.":[60],"In":[61,132],"this":[62,67,133,156],"paper,":[63],"we":[64,135],"move":[65],"towards":[66],"direction":[68],"aim":[70],"geographically":[72],"mine":[73],"similarity":[75,85,109,129,182,188,191],"between":[76],"users":[77],"based":[78],"on":[79],"their":[80],"histories.":[82],"Such":[83],"user":[84],"is":[86,112],"significant":[87],"individuals,":[89],"communities":[90],"businesses":[92],"by":[93,163],"helping":[94],"them":[95],"effectively":[96,126],"retrieve":[97],"high":[101],"relevance.":[102],"A":[103],"framework,":[104,134],"referred":[105],"as":[107,185],"hierarchical-graph-based":[108],"measurement":[110],"(HGSM),":[111],"proposed":[113],"for":[114],"systems":[117],"consistently":[119],"model":[120],"each":[121],"history":[124],"measure":[127],"among":[130],"users.":[131],"take":[136],"into":[137],"account":[138],"both":[139],"sequence":[141],"property":[142,150],"people's":[144],"movement":[145],"behaviors":[146],"hierarchy":[149],"spaces.":[153],"We":[154],"evaluate":[155],"framework":[157],"using":[158],"GPS":[160],"collected":[162],"65":[164],"volunteers":[165],"over":[166],"period":[168],"6":[170],"months":[171],"in":[172],"real":[174],"world.":[175],"As":[176],"result,":[178],"HGSM":[179],"outperforms":[180],"related":[181],"measures,":[183],"such":[184],"cosine":[187],"Pearson":[190],"measures.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":45},{"year":2020,"cited_by_count":42},{"year":2019,"cited_by_count":48},{"year":2018,"cited_by_count":71},{"year":2017,"cited_by_count":49},{"year":2016,"cited_by_count":54},{"year":2015,"cited_by_count":46},{"year":2014,"cited_by_count":55},{"year":2013,"cited_by_count":37},{"year":2012,"cited_by_count":45}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}