{"id":"https://openalex.org/W3189105188","doi":"https://doi.org/10.24963/ijcai.2021/74","title":"Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association","display_name":"Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3189105188","doi":"https://doi.org/10.24963/ijcai.2021/74","mag":"3189105188"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/74","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/74","pdf_url":"https://www.ijcai.org/proceedings/2021/0074.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0074.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100679662","display_name":"Xixi Li","orcid":"https://orcid.org/0000-0001-5846-3460"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xixi Li","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software (NERCMS), School of Computer Science, Wuhan University","School of Computer Science, Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software (NERCMS), School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008406199","display_name":"Ruimin Hu","orcid":"https://orcid.org/0000-0002-5872-3872"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Hu","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software (NERCMS), School of Computer Science, Wuhan University","School of Computer Science, Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software (NERCMS), School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401164","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0003-3846-9157"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Department of Information and Communication Engineering, The University of Tokyo","Research Institute for an Inclusive Society through Engineering (RIISE), The University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, The University of Tokyo","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]},{"raw_affiliation_string":"Research Institute for an Inclusive Society through Engineering (RIISE), The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048624196","display_name":"Toshihiko Yamasaki","orcid":"https://orcid.org/0000-0002-1784-2314"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihiko Yamasaki","raw_affiliation_strings":["Department of Information and Communication Engineering, The University of Tokyo","Research Institute for an Inclusive Society through Engineering (RIISE), The University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, The University of Tokyo","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]},{"raw_affiliation_string":"Research Institute for an Inclusive Society through Engineering (RIISE), The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"529","last_page":"536"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12392","display_name":"Sharing Economy and Platforms","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7853626012802124},{"id":"https://openalex.org/keywords/speculation","display_name":"Speculation","score":0.7343627214431763},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6575255393981934},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6254723072052002},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6194323897361755},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5869957208633423},{"id":"https://openalex.org/keywords/casual","display_name":"Casual","score":0.5451043248176575},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5124569535255432},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48138120770454407},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.47598496079444885},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.4712021052837372},{"id":"https://openalex.org/keywords/location-data","display_name":"Location data","score":0.4525841474533081},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35365989804267883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34992551803588867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28707852959632874},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1934639811515808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853626012802124},{"id":"https://openalex.org/C47941915","wikidata":"https://www.wikidata.org/wiki/Q107885","display_name":"Speculation","level":2,"score":0.7343627214431763},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6575255393981934},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6254723072052002},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6194323897361755},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5869957208633423},{"id":"https://openalex.org/C2781426162","wikidata":"https://www.wikidata.org/wiki/Q2275793","display_name":"Casual","level":2,"score":0.5451043248176575},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5124569535255432},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48138120770454407},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.47598496079444885},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.4712021052837372},{"id":"https://openalex.org/C2988186277","wikidata":"https://www.wikidata.org/wiki/Q5915793","display_name":"Location data","level":2,"score":0.4525841474533081},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35365989804267883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34992551803588867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28707852959632874},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1934639811515808},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/74","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/74","pdf_url":"https://www.ijcai.org/proceedings/2021/0074.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/74","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/74","pdf_url":"https://www.ijcai.org/proceedings/2021/0074.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G8570679527","display_name":null,"funder_award_id":"U1803262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189105188.pdf","grobid_xml":"https://content.openalex.org/works/W3189105188.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1838102683","https://openalex.org/W1985854669","https://openalex.org/W2009779426","https://openalex.org/W2054141820","https://openalex.org/W2064675550","https://openalex.org/W2071702404","https://openalex.org/W2074194940","https://openalex.org/W2110953678","https://openalex.org/W2140310134","https://openalex.org/W2171279286","https://openalex.org/W2205235818","https://openalex.org/W2539781657","https://openalex.org/W2586563160","https://openalex.org/W2604411573","https://openalex.org/W2767923185","https://openalex.org/W2808310571","https://openalex.org/W2900766759","https://openalex.org/W2905432015","https://openalex.org/W2913696439","https://openalex.org/W2949274928","https://openalex.org/W2963403868","https://openalex.org/W2964296635","https://openalex.org/W2965898633","https://openalex.org/W2998167534","https://openalex.org/W3012632375","https://openalex.org/W3034912136","https://openalex.org/W3040157551","https://openalex.org/W3041399281","https://openalex.org/W3102247173","https://openalex.org/W3103248659","https://openalex.org/W3125812820","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W1005754617","https://openalex.org/W2979523788","https://openalex.org/W756683672","https://openalex.org/W3141514971","https://openalex.org/W2996890283","https://openalex.org/W4387566418","https://openalex.org/W2010170986","https://openalex.org/W2767588738","https://openalex.org/W2766859593","https://openalex.org/W2117249501"],"abstract_inverted_index":{"Location":[0],"prediction":[1,23],"is":[2,46],"of":[3,12,34,55],"great":[4],"importance":[5],"in":[6,109],"location-based":[7],"applications":[8],"for":[9,21,85],"the":[10,13,26,32,35,43,50,59,64,69,82,90,119,126,136],"construction":[11],"smart":[14],"city.":[15],"To":[16,88],"our":[17],"knowledge,":[18],"existing":[19,56],"models":[20],"location":[22,61],"focus":[24],"on":[25,29,140],"users'":[27,40,107],"preference":[28],"POIs":[30,110,133],"from":[31,42],"perspective":[33],"human":[36],"side.":[37],"However,":[38],"modeling":[39],"interests":[41,108],"historical":[44],"trajectory":[45],"still":[47],"limited":[48],"by":[49,129],"data":[51,66,70,127],"sparsity.":[52],"Additionally,":[53],"most":[54],"methods":[57],"predict":[58],"next":[60],"according":[62],"to":[63,75,114,124,134],"individual":[65],"independently.":[67],"But":[68],"sparsity":[71,128],"makes":[72],"it":[73],"difficult":[74],"mine":[76],"explicit":[77],"mobility":[78],"patterns":[79],"or":[80],"capture":[81],"casual":[83],"behavior":[84],"each":[86],"user.":[87],"address":[89],"issues":[91],"above,":[92],"we":[93,117],"propose":[94],"a":[95],"novel":[96],"Bi-direction":[97],"Speculation":[98],"and":[99,111,121,132],"Dual-level":[100],"Association":[101],"method":[102],"(BSDA),":[103],"which":[104],"considers":[105],"both":[106],"POIs'":[112],"appeal":[113],"users.":[115],"Furthermore,":[116],"develop":[118],"cross-user":[120],"cross-POI":[122],"association":[123],"alleviate":[125],"similar":[130],"users":[131],"enrich":[135],"candidates.":[137],"Experimental":[138],"results":[139],"two":[141],"public":[142],"datasets":[143],"demonstrate":[144],"that":[145],"BSDA":[146],"achieves":[147],"significant":[148],"improvements":[149],"over":[150],"state-of-the-art":[151],"methods.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
