{"id":"https://openalex.org/W3013317518","doi":"https://doi.org/10.1109/access.2020.2983555","title":"Multi-Context-Aware Location Recommendation Using Tensor Decomposition","display_name":"Multi-Context-Aware Location Recommendation Using Tensor Decomposition","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013317518","doi":"https://doi.org/10.1109/access.2020.2983555","mag":"3013317518"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2983555","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2983555","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.2983555","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023753874","display_name":"L\u00fc Jing","orcid":"https://orcid.org/0000-0002-8099-2008"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lu","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8099-2008","affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057442045","display_name":"Martin A. Indeche","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Martin A. Indeche","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.8612,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.67536705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"61327","last_page":"61339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9617999792098999,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9570000171661377,"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":0.8566344976425171},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7530707120895386},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6508934497833252},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6116799116134644},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5981734991073608},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.5872664451599121},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5816811323165894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.535492479801178},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5314701199531555},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4871966242790222},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4583420753479004},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.45249882340431213},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44808071851730347},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.43272367119789124},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41991159319877625},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41309261322021484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35906362533569336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3039008677005768},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.1970652937889099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08130055665969849},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07608023285865784}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8566344976425171},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7530707120895386},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6508934497833252},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6116799116134644},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5981734991073608},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.5872664451599121},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5816811323165894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.535492479801178},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5314701199531555},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4871966242790222},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4583420753479004},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.45249882340431213},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44808071851730347},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.43272367119789124},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41991159319877625},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41309261322021484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35906362533569336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3039008677005768},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.1970652937889099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08130055665969849},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07608023285865784},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2983555","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2983555","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0c88a76fbd474656abb2b1742d0fce17","is_oa":true,"landing_page_url":"https://doaj.org/article/0c88a76fbd474656abb2b1742d0fce17","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 61327-61339 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2983555","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2983555","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1583071013","display_name":null,"funder_award_id":"61703278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7775545013","display_name":null,"funder_award_id":"61772342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W866925903","https://openalex.org/W1560147776","https://openalex.org/W1972436494","https://openalex.org/W1984189333","https://openalex.org/W2024165284","https://openalex.org/W2040230751","https://openalex.org/W2071702404","https://openalex.org/W2073013176","https://openalex.org/W2144685566","https://openalex.org/W2189936406","https://openalex.org/W2407020491","https://openalex.org/W2408538552","https://openalex.org/W2523246573","https://openalex.org/W2537972557","https://openalex.org/W2567312369","https://openalex.org/W2585843291","https://openalex.org/W2588323309","https://openalex.org/W2594361061","https://openalex.org/W2605357614","https://openalex.org/W2619464623","https://openalex.org/W2729353274","https://openalex.org/W2735318356","https://openalex.org/W2758957665","https://openalex.org/W2762529682","https://openalex.org/W2763015105","https://openalex.org/W2771018301","https://openalex.org/W2781891275","https://openalex.org/W2782691731","https://openalex.org/W2787059271","https://openalex.org/W2791723757","https://openalex.org/W2798896697","https://openalex.org/W2863261792","https://openalex.org/W2885376414","https://openalex.org/W2899635405","https://openalex.org/W2900951075","https://openalex.org/W2905508237","https://openalex.org/W2945826344","https://openalex.org/W2949326904","https://openalex.org/W2957640754","https://openalex.org/W2963032120","https://openalex.org/W2963472624","https://openalex.org/W2964239943","https://openalex.org/W6687290802","https://openalex.org/W6713960209","https://openalex.org/W6727249380","https://openalex.org/W6731415707"],"related_works":["https://openalex.org/W4365398158","https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W2963838862","https://openalex.org/W3015641590","https://openalex.org/W3216281372","https://openalex.org/W2987657992","https://openalex.org/W2949531434"],"abstract_inverted_index":{"With":[0],"the":[1,13,33,44,60,74,79,134,137,149,164,181,184],"rapid":[2],"growth":[3],"of":[4,16,35,59,78,186],"information":[5,92,116],"generated":[6],"by":[7,73],"online":[8],"social":[9],"network":[10],"platforms":[11],"and":[12,30,51,143,178,180],"increased":[14],"usage":[15],"Location-Based":[17],"Social":[18],"Networks,":[19],"location":[20,46,81],"recommendation":[21,47,82],"research":[22],"has":[23],"attracted":[24],"more":[25],"attention":[26],"both":[27],"in":[28,121],"academic":[29],"industry.":[31],"However,":[32],"problem":[34],"data":[36,150],"sparsity":[37,151],"still":[38],"posses":[39],"a":[40,103,128],"severe":[41],"challenge":[42,71],"to":[43,132,147],"existing":[45,75,80],"methods.":[48,76],"Moreover,":[49],"extracting":[50],"modeling":[52,94,122],"multiple":[53,114],"contextual":[54,91],"information,":[55],"which":[56],"is":[57,68],"one":[58],"key":[61],"factors":[62],"that":[63,112,159],"influences":[64],"user":[65,95,123],"check-in":[66,96,124],"preferences,":[67],"another":[69],"big":[70],"faced":[72],"Many":[77],"methods":[83],"have":[84],"low":[85],"accuracy":[86],"because":[87],"they":[88],"utilize":[89],"limited":[90],"when":[93],"behaviors.":[97],"In":[98,145],"this":[99],"paper,":[100],"we":[101,153],"propose":[102],"Multi-Context-aware":[104],"Location":[105],"Recommendation":[106],"using":[107],"Tensor":[108],"Decomposition":[109],"(MCLR-TD)":[110],"approach":[111],"incorporates":[113],"context":[115],"at":[117],"different":[118],"granularity":[119],"scales":[120],"behavior.":[125],"We":[126,166],"use":[127],"four":[129,138,156],"mode":[130],"tensor":[131],"model":[133],"relationship":[135],"among":[136],"dimensions:":[139],"users,":[140],"locations,":[141],"time":[142],"weather.":[144],"order":[146],"reduce":[148],"problem,":[152],"further":[154],"construct":[155],"feature":[157],"matrices":[158],"are":[160],"collaboratively":[161],"decomposed":[162],"with":[163],"tensor.":[165],"carry":[167],"out":[168],"extensive":[169],"experiments":[170],"on":[171],"two":[172],"real-world":[173],"datasets":[174],"collected":[175],"from":[176],"Foursquare":[177],"Yelp":[179],"results":[182],"demonstrate":[183],"effectiveness":[185],"our":[187],"approach.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}