{"id":"https://openalex.org/W2087692915","doi":"https://doi.org/10.1145/2009916.2009962","title":"Exploiting geographical influence for collaborative point-of-interest recommendation","display_name":"Exploiting geographical influence for collaborative point-of-interest recommendation","publication_year":2011,"publication_date":"2011-07-24","ids":{"openalex":"https://openalex.org/W2087692915","doi":"https://doi.org/10.1145/2009916.2009962","mag":"2087692915"},"language":"en","primary_location":{"id":"doi:10.1145/2009916.2009962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2009962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","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/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA","The Pennsylvania State University , University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"The Pennsylvania State University , University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049036241","display_name":"Peifeng Yin","orcid":"https://orcid.org/0000-0002-0109-7903"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peifeng Yin","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA","The Pennsylvania State University , University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"The Pennsylvania State University , University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091716232","display_name":"Wang-Chien Lee","orcid":"https://orcid.org/0000-0002-8949-489X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang-Chien Lee","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA","The Pennsylvania State University , University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"The Pennsylvania State University , University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036572194","display_name":"Dik Lun Lee","orcid":"https://orcid.org/0000-0002-2413-3882"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dik-Lun Lee","raw_affiliation_strings":["HKUST, Hong Kong, China","[HKUST, Hong Kong, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"[HKUST, Hong Kong, China]","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":31.7424,"has_fulltext":false,"cited_by_count":1116,"citation_normalized_percentile":{"value":0.99915484,"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":"325","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9951000213623047,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9815999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8050539493560791},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7552229166030884},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6866667866706848},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.6468803286552429},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.581325113773346},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5753307938575745},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5591038465499878},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5091931223869324},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49704983830451965},{"id":"https://openalex.org/keywords/location-based-service","display_name":"Location-based service","score":0.4661373496055603},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4304155111312866},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3965632915496826},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.39102891087532043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3387189507484436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1862853765487671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17479893565177917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050539493560791},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7552229166030884},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6866667866706848},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.6468803286552429},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.581325113773346},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5753307938575745},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5591038465499878},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5091931223869324},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49704983830451965},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.4661373496055603},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4304155111312866},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3965632915496826},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.39102891087532043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3387189507484436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1862853765487671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17479893565177917},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2009916.2009962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2009962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-46940","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-46940","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1663973292","https://openalex.org/W1673941785","https://openalex.org/W1973749534","https://openalex.org/W1976320242","https://openalex.org/W1980020810","https://openalex.org/W1980127182","https://openalex.org/W2020237802","https://openalex.org/W2042281163","https://openalex.org/W2043403353","https://openalex.org/W2059512573","https://openalex.org/W2067193733","https://openalex.org/W2073021764","https://openalex.org/W2079335968","https://openalex.org/W2084527756","https://openalex.org/W2085937320","https://openalex.org/W2093219534","https://openalex.org/W2113858518","https://openalex.org/W2117311203","https://openalex.org/W2117587045","https://openalex.org/W2119825970","https://openalex.org/W2133299088","https://openalex.org/W2140251882","https://openalex.org/W2144487656","https://openalex.org/W2164361866","https://openalex.org/W2169757306","https://openalex.org/W2171960770","https://openalex.org/W2594639291","https://openalex.org/W2771025823","https://openalex.org/W2919963289","https://openalex.org/W4232980324","https://openalex.org/W6629510986","https://openalex.org/W6637259173"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W2103058005"],"abstract_inverted_index":{"In":[0,39],"this":[1],"paper,":[2],"we":[3,56,101,116,137],"aim":[4],"to":[5,27,41,65,127],"provide":[6],"a":[7,58,103,118,128,139,167],"point-of-interests":[8],"(POI)":[9],"recommendation":[10,105,121,163,172],"service":[11],"for":[12,36],"the":[13,66,80,160],"rapid":[14],"growing":[15],"location-based":[16],"social":[17,31,52,131],"networks":[18],"(LBSNs),":[19],"e.g.,":[20],"Foursquare,":[21],"Whrrl,":[22],"etc.":[23],"Our":[24],"idea":[25],"is":[26],"explore":[28],"user":[29,43,72,90,125],"preference,":[30],"influence":[32,35,53,63,82,110,132],"and":[33,50,93,133,150],"geographical":[34,62,81,109,134],"POI":[37,120,129],"recommendations.":[38],"addition":[40],"deriving":[42],"preference":[44,126],"based":[45,107,111],"on":[46,61,108,112],"user-based":[47],"collaborative":[48,104,162],"filtering":[49],"exploring":[51],"from":[54,148],"friends,":[55],"put":[57],"special":[59],"emphasis":[60],"due":[64],"spatial":[67],"clustering":[68],"phenomenon":[69],"exhibited":[70],"in":[71,89],"check-in":[73,91],"activities":[74],"of":[75,170],"LBSNs.":[76],"We":[77],"argue":[78],"that":[79,159],"among":[83],"POIs":[84],"plays":[85],"an":[86],"important":[87],"role":[88],"behaviors":[92],"model":[94],"it":[95],"by":[96],"power":[97],"law":[98],"distribution.":[99],"Accordingly,":[100],"develop":[102],"algorithm":[106],"naive":[113],"Bayesian.":[114],"Furthermore,":[115],"propose":[117],"unified":[119,161],"framework,":[122],"which":[123],"fuses":[124],"with":[130,154],"influence.":[135],"Finally,":[136],"conduct":[138],"comprehensive":[140],"performance":[141],"evaluation":[142],"over":[143],"two":[144],"large-scale":[145],"datasets":[146,157],"collected":[147],"Foursquare":[149],"Whrrl.":[151],"Experimental":[152],"results":[153],"these":[155],"real":[156],"show":[158],"approach":[164],"significantly":[165],"outperforms":[166],"wide":[168],"spectrum":[169],"alternative":[171],"approaches.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":45},{"year":2022,"cited_by_count":72},{"year":2021,"cited_by_count":85},{"year":2020,"cited_by_count":113},{"year":2019,"cited_by_count":121},{"year":2018,"cited_by_count":129},{"year":2017,"cited_by_count":132},{"year":2016,"cited_by_count":115},{"year":2015,"cited_by_count":104},{"year":2014,"cited_by_count":69},{"year":2013,"cited_by_count":44},{"year":2012,"cited_by_count":16}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}