{"id":"https://openalex.org/W3045741132","doi":"https://doi.org/10.1109/icc40277.2020.9148797","title":"FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation","display_name":"FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045741132","doi":"https://doi.org/10.1109/icc40277.2020.9148797","mag":"3045741132"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9148797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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/A5070309903","display_name":"Yijun Su","orcid":"https://orcid.org/0009-0001-4630-7863"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Su","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759229","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0001-6240-2396"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025921156","display_name":"Baoping Liu","orcid":"https://orcid.org/0000-0001-8059-642X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoping Liu","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051666209","display_name":"Daren Zha","orcid":"https://orcid.org/0009-0002-6042-3454"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daren Zha","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023559033","display_name":"Xiang Ji","orcid":"https://orcid.org/0000-0002-5233-4358"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Xiang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645554","display_name":"Wei Tang","orcid":"https://orcid.org/0000-0001-6561-7026"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tang","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072074260","display_name":"Neng Gao","orcid":"https://orcid.org/0000-0002-0870-5692"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Neng Gao","raw_affiliation_strings":["State Key Laboratory of Information Security, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9986000061035156,"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":0.9717000126838684,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8076118230819702},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.7755664587020874},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7479972839355469},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5667717456817627},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5470895767211914},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5045884847640991},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4672859311103821},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4432600736618042},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4357134699821472},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4203827977180481},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4185195863246918},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35980117321014404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2539125084877014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07710644602775574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076118230819702},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.7755664587020874},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7479972839355469},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5667717456817627},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5470895767211914},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5045884847640991},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4672859311103821},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4432600736618042},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4357134699821472},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4203827977180481},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4185195863246918},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35980117321014404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2539125084877014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07710644602775574},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc40277.2020.9148797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1984189333","https://openalex.org/W1986050033","https://openalex.org/W2070915285","https://openalex.org/W2074194940","https://openalex.org/W2084677224","https://openalex.org/W2087692915","https://openalex.org/W2137245235","https://openalex.org/W2521595004","https://openalex.org/W2534727297","https://openalex.org/W2604411573","https://openalex.org/W2728796024","https://openalex.org/W2743808405","https://openalex.org/W2808111827","https://openalex.org/W2893346805","https://openalex.org/W2910480831","https://openalex.org/W2913696439","https://openalex.org/W2914041468","https://openalex.org/W2965426524","https://openalex.org/W3013661294","https://openalex.org/W4285827226","https://openalex.org/W6736108819","https://openalex.org/W6767875923","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2342498029","https://openalex.org/W2890423584","https://openalex.org/W2912355043","https://openalex.org/W4226251559","https://openalex.org/W3013764321","https://openalex.org/W4361265478","https://openalex.org/W3193309097"],"abstract_inverted_index":{"With":[0],"the":[1,24,63,97,117,128,160,181,186],"popularity":[2],"of":[3,66,116,162,185],"location-based":[4,15],"social":[5],"networks":[6],"(LBSNs),":[7],"Point-of-Interest":[8],"(POI)":[9],"recommendation":[10,110],"has":[11],"become":[12],"an":[13],"essential":[14],"service":[16],"to":[17,61,83,158],"help":[18],"people":[19],"explore":[20],"novel":[21],"locations.":[22],"Although":[23],"massive":[25],"check-in":[26,165],"data":[27],"bring":[28],"a":[29,107,134,155,163,169],"good":[30],"opportunity,":[31],"there":[32],"are":[33],"still":[34],"many":[35],"challenges":[36],"in":[37,70,95],"building":[38],"personalized":[39],"POI":[40,57,109],"recommender":[41],"systems":[42],"based":[43,139],"on":[44,56,140,176],"geographical":[45,50,68,118,130,143],"information.":[46],"First,":[47],"current":[48],"coarse-grained":[49],"models":[51],"provide":[52],"considerably":[53],"limited":[54],"improvements":[55],"recommendations":[58],"and":[59,87,123,183],"fail":[60],"capture":[62],"overall":[64],"impact":[65],"fine-grained":[67,108,129],"characteristics":[69,119],"LBSNs.":[71],"Second,":[72],"previous":[73],"methods":[74],"such":[75],"as":[76],"matrix":[77,171],"factorization":[78],"always":[79],"give":[80],"equal":[81],"weight":[82,157],"each":[84],"positive":[85,151],"example":[86],"may":[88],"not":[89],"distinguish":[90],"between":[91],"their":[92],"different":[93],"contributions":[94],"learning":[96],"objective":[98],"function.":[99],"To":[100],"cope":[101],"with":[102],"these":[103],"challenges,":[104],"we":[105,132,153],"develop":[106],"framework":[111],"that":[112],"makes":[113],"full":[114],"use":[115],"from":[120,150],"both":[121],"users\u2019":[122],"locations\u2019":[124],"perspectives.":[125],"For":[126,145],"capturing":[127],"influence,":[131],"present":[133],"unified":[135],"probability":[136],"distribution":[137],"model":[138],"four":[141],"key":[142],"characteristics.":[144],"mining":[146],"more":[147],"contribution":[148,161],"information":[149],"examples,":[152],"assign":[154],"higher":[156,164],"highlight":[159],"frequency":[166],"by":[167],"employing":[168],"logistic":[170],"factorization.":[172],"Finally,":[173],"experimental":[174],"results":[175],"two":[177],"real-world":[178],"datasets":[179],"demonstrate":[180],"effectiveness":[182],"superiority":[184],"proposed":[187],"method.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}