{"id":"https://openalex.org/W3117467770","doi":"https://doi.org/10.1109/ictai50040.2020.00020","title":"PRPOIR: Exploiting the Region-Level Interest for POI Recommendation","display_name":"PRPOIR: Exploiting the Region-Level Interest for POI Recommendation","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3117467770","doi":"https://doi.org/10.1109/ictai50040.2020.00020","mag":"3117467770"},"language":"en","primary_location":{"id":"doi:10.1109/ictai50040.2020.00020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai50040.2020.00020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)","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/A5102969014","display_name":"Hao Yuan","orcid":"https://orcid.org/0000-0002-4617-591X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031166307","display_name":"Jian Xu","orcid":"https://orcid.org/0000-0002-0583-5512"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xu","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047378832","display_name":"Ning Zheng","orcid":"https://orcid.org/0000-0003-3503-8167"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Zheng","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041210918","display_name":"Ming Xu","orcid":"https://orcid.org/0000-0001-9332-5258"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Xu","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318193","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-4486-8341"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103123344","display_name":"Rujia Shen","orcid":"https://orcid.org/0000-0002-6100-8888"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rujia Shen","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102969014"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27616507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"59","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9915000200271606,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9262999892234802,"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":0.9467740654945374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8312280178070068},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7092636227607727},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.609309196472168},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5744822025299072},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4624512493610382},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4406720995903015},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4398326277732849},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3671818673610687},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36376452445983887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34011974930763245},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07596287131309509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0654110312461853}],"concepts":[{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.9467740654945374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8312280178070068},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7092636227607727},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.609309196472168},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5744822025299072},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4624512493610382},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4406720995903015},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4398326277732849},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3671818673610687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36376452445983887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34011974930763245},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07596287131309509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0654110312461853},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/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/ictai50040.2020.00020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai50040.2020.00020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W574900623","https://openalex.org/W1972436494","https://openalex.org/W1981886741","https://openalex.org/W1995109099","https://openalex.org/W2017921654","https://openalex.org/W2073013176","https://openalex.org/W2084677224","https://openalex.org/W2087692915","https://openalex.org/W2109242993","https://openalex.org/W2129905273","https://openalex.org/W2189936406","https://openalex.org/W2205235818","https://openalex.org/W2408538552","https://openalex.org/W2728796024","https://openalex.org/W2741686395","https://openalex.org/W2762529682","https://openalex.org/W2807855639","https://openalex.org/W2808111827","https://openalex.org/W2913696151","https://openalex.org/W3013661294","https://openalex.org/W6687290802","https://openalex.org/W6688089849","https://openalex.org/W6713960209"],"related_works":["https://openalex.org/W2963185427","https://openalex.org/W4401051025","https://openalex.org/W2065296176","https://openalex.org/W2890423584","https://openalex.org/W2912355043","https://openalex.org/W2785057145","https://openalex.org/W4226251559","https://openalex.org/W2066739829","https://openalex.org/W3013764321","https://openalex.org/W4361265478"],"abstract_inverted_index":{"Point":[0],"of":[1,24,102,145,168,179],"interest":[2,61,119,122],"(POI)":[3],"recommendation":[4,66],"has":[5],"become":[6],"an":[7],"important":[8],"means":[9,57],"to":[10,47,50,108,115,140],"help":[11],"people":[12],"discover":[13],"attractive":[14],"locations.":[15],"Previous":[16],"studies":[17],"show":[18,190],"that":[19,40,58,191],"modeling":[20],"the":[21,38,65,100,103,126,129,142,166,177,194],"context":[22],"information":[23],"users'":[25,117,130,146],"check-ins":[26,169],"is":[27,45,62],"necessary":[28],"for":[29],"POI":[30,82],"recommendation.":[31],"However,":[32],"most":[33],"previous":[34],"hybrid":[35,78],"models":[36],"ignore":[37],"fact":[39],"a":[41,77,138],"user's":[42],"interested":[43],"region":[44],"likely":[46],"drive":[48],"him":[49],"visit":[51],"other":[52],"POIs":[53],"in":[54,64,128,150],"it,":[55],"which":[56],"his":[59],"region-level":[60,121,133,147],"indispensable":[63],"process.":[67],"In":[68,95],"this":[69,73],"paper,":[70],"we":[71,112,135,181],"take":[72],"challenge":[74],"and":[75,92,120,158,170],"propose":[76],"model":[79,109,116],"called":[80],"POI-Region":[81],"Recommendation":[83],"(PRPOIR).":[84],"Specifically,":[85],"PRPOIR":[86,192],"contains":[87],"two":[88,185],"modules:":[89],"Interest":[90,96],"Module":[91],"Context":[93,151],"Module.":[94],"Module,":[97,152],"inspired":[98],"by":[99,153],"success":[101],"Logistic":[104],"Matrix":[105],"Factorization":[106],"(LMF)":[107],"implicit":[110],"feedback,":[111],"apply":[113],"it":[114,163],"POI-level":[118],"respectively.":[123],"To":[124,175],"capture":[125],"difference":[127],"emphasis":[131],"on":[132,184],"interests,":[134],"innovatively":[136],"introduce":[137],"strategy":[139],"establish":[141],"dynamic":[143],"weight":[144],"interest.":[148],"Then":[149],"further":[154,172],"integrating":[155],"geographical":[156],"influence":[157],"social":[159],"correlations":[160],"into":[161],"PRPOIR,":[162,180],"can":[164],"alleviate":[165],"sparsity":[167],"bring":[171],"performance":[173],"improvement.":[174],"verify":[176],"effectiveness":[178],"conduct":[182],"experiments":[183],"real-world":[186],"datasets,":[187],"experimental":[188],"results":[189],"outperforms":[193],"state-of-the-art":[195],"models.":[196]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
