{"id":"https://openalex.org/W4366967680","doi":"https://doi.org/10.1145/3544793.3560370","title":"Location Representations for Accelerating the Training of Next POI Recommender System","display_name":"Location Representations for Accelerating the Training of Next POI Recommender System","publication_year":2022,"publication_date":"2022-09-11","ids":{"openalex":"https://openalex.org/W4366967680","doi":"https://doi.org/10.1145/3544793.3560370"},"language":"en","primary_location":{"id":"doi:10.1145/3544793.3560370","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544793.3560370","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3560370","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3560370","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110970818","display_name":"Qingxin Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Qingxin Xia","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7227-580X","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012025870","display_name":"Takahiro Hara","orcid":"https://orcid.org/0000-0003-4807-3156"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Hara","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039456378","display_name":"Takuya Maekawa","orcid":"https://orcid.org/0000-0002-7227-580X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Maekawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110970818"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34307952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9822999835014343,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.8985179662704468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8224795460700989},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7537013292312622},{"id":"https://openalex.org/keywords/location-based-service","display_name":"Location-based service","score":0.5557994842529297},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5391926765441895},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.5244667530059814},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.49971842765808105},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49858641624450684},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.493597149848938},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4751172661781311},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44874849915504456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36838552355766296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36475303769111633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30581027269363403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08211967349052429}],"concepts":[{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.8985179662704468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224795460700989},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7537013292312622},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.5557994842529297},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5391926765441895},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.5244667530059814},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.49971842765808105},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49858641624450684},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.493597149848938},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4751172661781311},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44874849915504456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36838552355766296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36475303769111633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30581027269363403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08211967349052429},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3544793.3560370","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544793.3560370","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3560370","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3544793.3560370","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544793.3560370","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3560370","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366967680.pdf","grobid_xml":"https://content.openalex.org/works/W4366967680.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2743289629","https://openalex.org/W2963367478","https://openalex.org/W2996931760","https://openalex.org/W3028556448","https://openalex.org/W3101267375","https://openalex.org/W3128267727","https://openalex.org/W3164797320","https://openalex.org/W3200955768","https://openalex.org/W3208876695","https://openalex.org/W3210872601"],"related_works":["https://openalex.org/W2912355043","https://openalex.org/W2771018301","https://openalex.org/W2162876420","https://openalex.org/W2407385737","https://openalex.org/W2766859593","https://openalex.org/W2012707973","https://openalex.org/W2743146294","https://openalex.org/W2010170986","https://openalex.org/W1984423424","https://openalex.org/W1999497158"],"abstract_inverted_index":{"With":[0],"the":[1,26,42,66,84,98,106,118,124,127,131,143,176,190],"widespread":[2],"use":[3],"of":[4,69,72,121,126,133,155],"mobile":[5],"devices,":[6],"many":[7],"next":[8,85],"Point-Of-Interest":[9],"(POI)":[10],"recommender":[11],"systems":[12],"train":[13],"users\u2019":[14],"data":[15],"on":[16,105,171,179],"their":[17],"devices":[18],"to":[19,28,82,111,123,161,166],"provide":[20],"personalized":[21],"recommendation":[22,44,164,182],"services,":[23],"which":[24,79],"requires":[25],"algorithms":[27],"have":[29],"an":[30,37],"efficient":[31],"convergence":[32,191],"rate.":[33],"Besides,":[34],"POI":[35,43,71,138,163],"location,":[36],"important":[38],"feature":[39],"in":[40,49],"improving":[41],"performance,":[45],"has":[46],"been":[47],"represented":[48],"various":[50],"ways,":[51],"such":[52],"as":[53,97],"encoding":[54],"locations":[55],"with":[56,62,101,200],"distinctive":[57],"IDs":[58],"(e.g.,":[59],"different":[60,63],"areas":[61],"IDs).":[64],"However,":[65],"positional":[67,99],"relationship":[68,100],"a":[70,93,134,137,180,201],"interest":[73],"and":[74,189],"other":[75,102],"POIs":[76,122,157],"is":[77,80],"ignored,":[78],"crucial":[81],"predicting":[83],"POI.":[86],"In":[87],"this":[88],"study,":[89],"we":[90],"propose":[91],"describing":[92],"POI\u2019s":[94],"location":[95,128,148,153],"representation":[96,144],"POIs.":[103],"Based":[104],"idea":[107],"that":[108,150,175],"users":[109],"prefer":[110],"visit":[112],"closer":[113],"regions,":[114],"our":[115,172],"approach":[116,173],"transfers":[117],"distance":[119],"interval":[120],"similarity":[125],"representations,":[129],"thus":[130],"possibility":[132],"user":[135],"visiting":[136],"can":[139,158],"be":[140,159],"revealed":[141],"from":[142],"similarities.":[145],"The":[146],"proposed":[147,177],"representations":[149],"contain":[151],"relative":[152],"information":[154],"all":[156],"applied":[160],"initialize":[162],"models":[165],"accelerate":[167],"model":[168,183],"convergence.":[169],"Experiments":[170],"show":[174],"method":[178],"sequential":[181],"improves":[184],"[email":[185,196,203],"protected]":[186,204],"by":[187],"4%,":[188],"rate":[192],"(average":[193],"regret":[194],"before":[195],"protected])":[197],"increases":[198],"4%":[199],"10%":[202],"improvement.":[205]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
