{"id":"https://openalex.org/W2808111827","doi":"https://doi.org/10.24963/ijcai.2018/539","title":"Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation","display_name":"Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808111827","doi":"https://doi.org/10.24963/ijcai.2018/539","mag":"2808111827"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/539","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/539","pdf_url":"https://www.ijcai.org/proceedings/2018/0539.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0539.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047897879","display_name":"Huawei Shen","orcid":"https://orcid.org/0000-0002-1081-8119"},"institutions":[{"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Shen","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085170454","display_name":"Wentao Ouyang","orcid":"https://orcid.org/0000-0002-8704-043X"},"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Ouyang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029998682","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0000-0002-5201-8195"},"institutions":[{"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/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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100446064"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":30.4221,"has_fulltext":false,"cited_by_count":142,"citation_normalized_percentile":{"value":0.99585559,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3877","last_page":"3883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9498000144958496,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9376000165939331,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/point-of-interest","display_name":"Point of interest","score":0.9389240741729736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6876828074455261},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5941063165664673},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.47721797227859497},{"id":"https://openalex.org/keywords/location","display_name":"Location","score":0.4706617593765259},{"id":"https://openalex.org/keywords/geographical-distance","display_name":"Geographical distance","score":0.4539191722869873},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40533632040023804},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.38946831226348877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19119593501091003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08572658896446228},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.06893455982208252}],"concepts":[{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.9389240741729736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6876828074455261},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5941063165664673},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.47721797227859497},{"id":"https://openalex.org/C61980418","wikidata":"https://www.wikidata.org/wiki/Q2221906","display_name":"Location","level":2,"score":0.4706617593765259},{"id":"https://openalex.org/C79876807","wikidata":"https://www.wikidata.org/wiki/Q3030660","display_name":"Geographical distance","level":3,"score":0.4539191722869873},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40533632040023804},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.38946831226348877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19119593501091003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08572658896446228},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.06893455982208252},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/539","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/539","pdf_url":"https://www.ijcai.org/proceedings/2018/0539.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/539","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/539","pdf_url":"https://www.ijcai.org/proceedings/2018/0539.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4058633085","display_name":null,"funder_award_id":"61425016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7220478304","display_name":null,"funder_award_id":"61433014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7221845353","display_name":null,"funder_award_id":"61602439","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7454589947","display_name":null,"funder_award_id":"61472400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7702600198","display_name":null,"funder_award_id":"2014CB340401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808111827.pdf","grobid_xml":"https://content.openalex.org/works/W2808111827.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W89444804","https://openalex.org/W1981886741","https://openalex.org/W2073013176","https://openalex.org/W2075190119","https://openalex.org/W2087692915","https://openalex.org/W2139809240","https://openalex.org/W2189936406","https://openalex.org/W2339074556","https://openalex.org/W2408538552","https://openalex.org/W2471486255","https://openalex.org/W2534727297","https://openalex.org/W2583938323","https://openalex.org/W2604411573","https://openalex.org/W2728796024","https://openalex.org/W2740429388","https://openalex.org/W2741686395","https://openalex.org/W2950181253","https://openalex.org/W2964335473","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2890423584","https://openalex.org/W2020893674","https://openalex.org/W2765372388","https://openalex.org/W3013764321","https://openalex.org/W2130069240","https://openalex.org/W3162959395","https://openalex.org/W2008783631","https://openalex.org/W3112092797","https://openalex.org/W4309076664","https://openalex.org/W3125205733"],"abstract_inverted_index":{"Point-of-interest":[0],"(POI)":[1],"recommendation,":[2,24,27],"i.e.,":[3],"recommending":[4],"unvisited":[5],"POIs":[6,41,50,68,111],"for":[7,13],"users,":[8],"is":[9,69],"a":[10],"fundamental":[11],"problem":[12],"location-based":[14],"social":[15],"networks.":[16],"POI":[17,102,166],"recommendation":[18],"distinguishes":[19],"itself":[20],"from":[21],"traditional":[22],"item":[23],"e.g.,":[25],"movie":[26],"via":[28],"geographical":[29,37,65,81,88,98,107,133,159],"influence":[30,38,66,82,89,99,108,134,160],"among":[31],"POIs.":[32,91,149],"Existing":[33],"methods":[34,62],"model":[35,105],"the":[36,43,48,54,78,84,106,115,119,163],"between":[39,67,109],"two":[40,49,110,153],"as":[42],"probability":[44],"or":[45],"propensity":[46,142],"that":[47,64,157],"are":[51],"co-visited":[52],"by":[53,71,147],"same":[55],"user":[56],"given":[57],"their":[58,72,124],"physical":[59,73,125],"distance.":[60,126],"These":[61],"assume":[63],"determined":[70],"distance,":[74],"failing":[75],"to":[76,100,135],"capture":[77],"asymmetry":[79],"of":[80,87,117,121,143,165],"and":[83,123,138],"high":[85],"variation":[86],"across":[90],"In":[92],"this":[93],"paper,":[94],"we":[95],"exploit":[96],"POI-specific":[97,158],"improve":[101],"recommendation.":[103,167],"We":[104],"using":[112],"three":[113],"factors:":[114],"geo-influence":[116],"POI,":[118,122],"geo-susceptibility":[120,139],"Geo-influence":[127],"captures":[128],"POI?s":[129,141],"capacity":[130],"at":[131],"exerting":[132],"other":[136,148],"POIs,":[137],"reflects":[140],"being":[144],"geographically":[145],"influenced":[146],"Experimental":[150],"results":[151],"on":[152],"real-world":[154],"datasets":[155],"demonstrate":[156],"significantly":[161],"improves":[162],"performance":[164]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":33},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-27T08:22:11.395708","created_date":"2025-10-10T00:00:00"}
