{"id":"https://openalex.org/W4379032519","doi":"https://doi.org/10.1504/ijwet.2023.131141","title":"PRMF: point of interest recommendation method integrating multiple factors","display_name":"PRMF: point of interest recommendation method integrating multiple factors","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379032519","doi":"https://doi.org/10.1504/ijwet.2023.131141"},"language":"en","primary_location":{"id":"doi:10.1504/ijwet.2023.131141","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijwet.2023.131141","pdf_url":null,"source":{"id":"https://openalex.org/S86586338","display_name":"International Journal of Web Engineering and Technology","issn_l":"1476-1289","issn":["1476-1289","1741-9212"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Engineering and Technology","raw_type":"journal-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/A5100527727","display_name":"Ting Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ting Yu","raw_affiliation_strings":["Jiaxing Nanhu University, Jiaxing, Zhejiang 314001, China"],"affiliations":[{"raw_affiliation_string":"Jiaxing Nanhu University, Jiaxing, Zhejiang 314001, China","institution_ids":["https://openalex.org/I4210092870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414889","display_name":"Lihua Zhang","orcid":"https://orcid.org/0000-0001-5520-456X"},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhang","raw_affiliation_strings":["Jiaxing Nanhu University, Jiaxing, Zhejiang 314001, China"],"affiliations":[{"raw_affiliation_string":"Jiaxing Nanhu University, Jiaxing, Zhejiang 314001, China","institution_ids":["https://openalex.org/I4210092870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040948121","display_name":"Y. Y. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinhao Zhang","raw_affiliation_strings":["Jiaxing Nanhu University, Jiaxing, Zhejiang 314001, China"],"affiliations":[{"raw_affiliation_string":"Jiaxing Nanhu University, Jiaxing, Zhejiang 314001, China","institution_ids":["https://openalex.org/I4210092870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100527727"],"corresponding_institution_ids":["https://openalex.org/I4210092870"],"apc_list":null,"apc_paid":null,"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63414226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"18","issue":"1","first_page":"45","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.21490000188350677,"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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.21490000188350677,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.19589999318122864,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.19290000200271606,"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":0.8433049917221069},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5358428359031677},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.49866700172424316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18436363339424133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0768442451953888}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8433049917221069},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5358428359031677},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.49866700172424316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18436363339424133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0768442451953888},{"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:10.1504/ijwet.2023.131141","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijwet.2023.131141","pdf_url":null,"source":{"id":"https://openalex.org/S86586338","display_name":"International Journal of Web Engineering and Technology","issn_l":"1476-1289","issn":["1476-1289","1741-9212"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2890423584","https://openalex.org/W3013764321"],"abstract_inverted_index":{"Point-of-interest":[0],"(POI)":[1],"recommendation":[2,53,75],"plays":[3],"an":[4],"increasingly":[5],"important":[6],"role":[7],"in":[8,17,136,172],"location-based":[9],"social":[10],"networks":[11],"(LBSNs)":[12],"and":[13,38,60,65,89,117,144,175],"is":[14,32],"widely":[15],"used":[16],"various":[18],"e-commerce":[19],"websites.":[20],"However,":[21],"due":[22],"to":[23,35,41,47,56,101,126,154,187],"the":[24,112,127,132,145,156,188],"high":[25],"sparsity":[26],"of":[27,134],"user":[28,103],"check-in":[29,58,84,115,168],"information,":[30],"it":[31],"still":[33],"challenging":[34],"recommend":[36],"appropriate":[37],"accurate":[39],"locations":[40,171],"users.":[42],"As":[43],"people":[44],"decide":[45],"where":[46],"visit":[48],"based":[49,110],"on":[50,62,111,163],"numerous":[51],"factors,":[52],"systems":[54],"need":[55],"consider":[57],"records":[59],"data":[61,169],"POI":[63,66,74,86,90,122,141],"popularity":[64,133,142],"locations.":[67],"In":[68],"this":[69,137],"paper,":[70],"we":[71,95,139],"propose":[72],"a":[73,97],"method":[76,184],"that":[77,181],"integrates":[78],"multiple":[79],"factors":[80],"by":[81,151],"analysing":[82],"users'":[83,113,157],"records,":[85],"category,":[87],"location,":[88],"popularity,":[91],"called":[92],"PRMF.":[93],"Firstly,":[94],"employ":[96],"neural":[98],"network":[99],"algorithm":[100],"calculate":[102,140,155],"preferences.":[104],"Activity":[105],"centres":[106],"are":[107,123],"then":[108],"calculated":[109,124],"historical":[114],"history,":[116],"geographical":[118],"preferences":[119],"for":[120,170],"each":[121],"according":[125],"activity":[128],"centre.":[129],"By":[130],"combining":[131],"POIs":[135],"study,":[138],"preferences,":[143],"above":[146],"three":[147],"parts":[148],"were":[149],"obtained":[150],"linear":[152],"fusion":[153],"final":[158],"preference.":[159],"Extensive":[160],"experiments":[161],"(based":[162],"real":[164],"datasets,":[165],"including":[166],"long-term":[167],"New":[173],"York":[174],"Tokyo":[176],"collected":[177],"from":[178],"Foursquare)":[179],"show":[180],"our":[182],"proposed":[183],"was":[185],"superior":[186],"baselines.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
