{"id":"https://openalex.org/W4396831157","doi":"https://doi.org/10.1007/s13278-024-01261-6","title":"Three-layered location recommendation algorithm using spectral clustering","display_name":"Three-layered location recommendation algorithm using spectral clustering","publication_year":2024,"publication_date":"2024-05-11","ids":{"openalex":"https://openalex.org/W4396831157","doi":"https://doi.org/10.1007/s13278-024-01261-6"},"language":"en","primary_location":{"id":"doi:10.1007/s13278-024-01261-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-024-01261-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-024-01261-6.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13278-024-01261-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037932192","display_name":"Alireza Moayedikia","orcid":"https://orcid.org/0000-0001-7229-3699"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Alireza Moayedikia","raw_affiliation_strings":["Department of Business Technology and Entrepreneurship, Swinburne University of Technology, Hawthorne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Technology and Entrepreneurship, Swinburne University of Technology, Hawthorne, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090497364","display_name":"Hamed Jahani","orcid":"https://orcid.org/0000-0002-7091-6060"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hamed Jahani","raw_affiliation_strings":["School of Accounting, Information Systems and Supply Chain, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Accounting, Information Systems and Supply Chain, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039273266","display_name":"Md. Anisur Rahman","orcid":"https://orcid.org/0000-0001-9083-6239"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md Anisur Rahman","raw_affiliation_strings":["La Trobe Business School, La Trobe University, Bundoora, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"La Trobe Business School, La Trobe University, Bundoora, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109295772","display_name":"Kok Leong Ong","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kok Leong Ong","raw_affiliation_strings":["School of Accounting, Information Systems and Supply Chain, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Accounting, Information Systems and Supply Chain, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037932192"],"corresponding_institution_ids":["https://openalex.org/I57093077"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.0589,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88998752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9955999851226807,"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":0.9955999851226807,"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/T10057","display_name":"Face and Expression Recognition","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9663000106811523,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.680734395980835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6293104290962219},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6090893745422363},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48083242774009705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4624694883823395},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.41728681325912476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3563705384731293},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.29453232884407043}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.680734395980835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6293104290962219},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6090893745422363},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48083242774009705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4624694883823395},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.41728681325912476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3563705384731293},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29453232884407043}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13278-024-01261-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-024-01261-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-024-01261-6.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s13278-024-01261-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-024-01261-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-024-01261-6.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396831157.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2035463970","https://openalex.org/W2512765161","https://openalex.org/W2606124850","https://openalex.org/W2619464623","https://openalex.org/W2748880077","https://openalex.org/W2884134348","https://openalex.org/W2889337896","https://openalex.org/W2905146576","https://openalex.org/W2907437321","https://openalex.org/W2912065849","https://openalex.org/W2947900840","https://openalex.org/W2948562302","https://openalex.org/W2949326904","https://openalex.org/W2971574736","https://openalex.org/W2993791944","https://openalex.org/W2995634787","https://openalex.org/W3013661294","https://openalex.org/W3014900199","https://openalex.org/W3015126766","https://openalex.org/W3016590194","https://openalex.org/W3017579368","https://openalex.org/W3036512266","https://openalex.org/W3092532787","https://openalex.org/W3118392102","https://openalex.org/W3128158457","https://openalex.org/W3140094189","https://openalex.org/W3165608758","https://openalex.org/W3202545208","https://openalex.org/W3216699777","https://openalex.org/W4221089920","https://openalex.org/W4224281599","https://openalex.org/W4224288704","https://openalex.org/W4232440747","https://openalex.org/W4250118610","https://openalex.org/W4306778587","https://openalex.org/W4313531829","https://openalex.org/W4364365813","https://openalex.org/W4366393746","https://openalex.org/W4367670020","https://openalex.org/W4375948536","https://openalex.org/W4386258352","https://openalex.org/W4386402463","https://openalex.org/W4388461972"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W2051487156","https://openalex.org/W4317039510","https://openalex.org/W1482912984"],"abstract_inverted_index":{"Abstract":[0],"Users":[1],"utilize":[2],"Location-Based":[3],"Social":[4],"Networks":[5],"(LBSNs)":[6],"to":[7,82,90,109,153],"check":[8,54],"into":[9,55],"diverse":[10],"venues":[11],"and":[12,18,104,114,125,133,144],"share":[13],"their":[14],"experiences":[15],"through":[16],"ratings":[17],"comments.":[19],"However,":[20],"these":[21],"platforms":[22],"typically":[23],"feature":[24],"a":[25,35,60,77,84],"considerably":[26],"larger":[27],"number":[28],"of":[29,118],"locations":[30,58],"than":[31],"users,":[32],"resulting":[33],"in":[34],"challenge":[36],"known":[37],"as":[38,64,130],"insufficient":[39],"historical":[40],"data":[41],"or":[42],"user-location":[43],"matrix":[44],"sparsity.":[45],"This":[46],"sparsity":[47],"arises":[48],"because":[49],"not":[50],"all":[51,56],"users":[52],"can":[53],"available":[57],"on":[59],"given":[61],"LBSN,":[62],"such":[63,129],"Yelp.":[65],"To":[66],"address":[67],"this":[68,70],"challenge,":[69],"paper":[71],"proposes":[72],"combining":[73],"Spectral":[74],"Clustering":[75],"with":[76],"three-layered":[78],"location":[79,102],"recommendation":[80],"model":[81],"develop":[83],"recommender":[85,112],"system":[86,113],"named":[87],"LSC,":[88],"applied":[89],"Yelp":[91,123],"datasets.":[92],"LSC":[93],"leverages":[94],"various":[95,149],"information,":[96],"including":[97],"users\u2019":[98,105],"check-in":[99],"data,":[100,108],"demographics,":[101,103],"friendship":[106],"network":[107],"train":[110],"the":[111,122],"generate":[115],"recommendations.":[116],"Evaluation":[117],"LSC\u2019s":[119],"performance":[120,146],"utilizes":[121],"dataset":[124],"several":[126],"comparison":[127],"metrics,":[128],"accuracy,":[131],"RMSE,":[132],"F1-score.":[134],"The":[135],"results":[136],"demonstrate":[137],"that":[138],"our":[139],"proposed":[140],"algorithm":[141],"delivers":[142],"reliable":[143],"significant":[145],"improvements":[147],"across":[148],"evaluation":[150],"metrics":[151],"compared":[152],"competing":[154],"algorithms.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
