{"id":"https://openalex.org/W4381746761","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150227","title":"An Effective and Efficient Self-Attention Based Model for Next POI Recommendation","display_name":"An Effective and Efficient Self-Attention Based Model for Next POI Recommendation","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4381746761","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150227"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops56833.2023.10150227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops56833.2023.10150227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","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/A5045950262","display_name":"Qingxin Xia","orcid":"https://orcid.org/0000-0003-0216-9179"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","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":["Osaka University,Grad. Sch. of Inf. Sci. and Tech.,Osaka,Japan","Grad. Sch. of Inf. Sci. and Tech., Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Grad. Sch. of Inf. Sci. and Tech.,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci. and Tech., Osaka University, Osaka, 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":"Osaka University","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":["Osaka University,Grad. Sch. of Inf. Sci. and Tech.,Osaka,Japan","Grad. Sch. of Inf. Sci. and Tech., Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Grad. Sch. of Inf. Sci. and Tech.,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci. and Tech., Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","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":"Osaka University","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":["Osaka University,Grad. Sch. of Inf. Sci. and Tech.,Osaka,Japan","Grad. Sch. of Inf. Sci. and Tech., Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Grad. Sch. of Inf. Sci. and Tech.,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci. and Tech., Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061479875","display_name":"Mori Kurokawa","orcid":"https://orcid.org/0000-0003-4544-0643"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mori Kurokawa","raw_affiliation_strings":["KDDI Research, Inc.,Tokyo,Japan","KDDI Research, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc.,Tokyo,Japan","institution_ids":["https://openalex.org/I4210164495"]},{"raw_affiliation_string":"KDDI Research, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040855466","display_name":"Kei Yonekawa","orcid":"https://orcid.org/0000-0002-4349-8895"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Yonekawa","raw_affiliation_strings":["KDDI Research, Inc.,Tokyo,Japan","KDDI Research, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc.,Tokyo,Japan","institution_ids":["https://openalex.org/I4210164495"]},{"raw_affiliation_string":"KDDI Research, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045950262"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.9163,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78529058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"478","last_page":"483"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9919000267982483,"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/T11478","display_name":"Caching and Content Delivery","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7676078677177429},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5393242239952087},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5314430594444275},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.492049902677536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4817083477973938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3683493733406067},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3623676598072052},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34678301215171814},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32184287905693054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1074671745300293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7676078677177429},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5393242239952087},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5314430594444275},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.492049902677536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4817083477973938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3683493733406067},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3623676598072052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34678301215171814},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32184287905693054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1074671745300293},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops56833.2023.10150227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops56833.2023.10150227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2564170135","https://openalex.org/W2724616073","https://openalex.org/W2950275995","https://openalex.org/W2963367478","https://openalex.org/W2965744319","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3035287707","https://openalex.org/W3040157551","https://openalex.org/W3100480425","https://openalex.org/W3116048950","https://openalex.org/W3122890974","https://openalex.org/W3128267727","https://openalex.org/W3151393891","https://openalex.org/W3161197088","https://openalex.org/W3164797320","https://openalex.org/W3177318507","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6754159242","https://openalex.org/W6779068807"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W44246808"],"abstract_inverted_index":{"Next":[0],"point-of-interest":[1],"(POI)":[2],"recommender":[3],"sys-tems":[4],"that":[5,136],"recommend":[6],"the":[7,50,69,78,89,95,101,111,117,123,147,153],"user's":[8],"next":[9,60],"POI":[10,61],"according":[11],"to":[12,54,93,114,162],"past":[13],"check-ins":[14,73,96],"history":[15],"are":[16,43,75],"widely":[17],"deployed":[18],"on":[19,28,64,132],"mobile":[20],"devices.":[21],"Recently,":[22],"there":[23],"has":[24,140],"been":[25],"remarkable":[26],"progress":[27],"sequential":[29,65,79],"models":[30,42],"which":[31,86],"improve":[32],"recommendation":[33],"performance":[34,142],"by":[35,100],"learning":[36],"in-sequence":[37],"check-in":[38,102],"interactions,":[39],"yet":[40],"such":[41],"memory":[44,124,148],"and":[45,58,71,98,125,146,149],"computationally":[46],"costly.":[47],"To":[48],"fill":[49],"gap,":[51],"we":[52,106],"aim":[53],"develop":[55],"an":[56],"effective":[57],"efficient":[59],"recommen-dation":[62],"algorithm":[63],"models.":[66],"For":[67,104],"effectiveness,":[68],"spatial":[70],"temporal":[72],"information":[74,92],"fed":[76],"into":[77],"model":[80],"through":[81],"our":[82,137],"proposed":[83,138],"self-attention":[84,112,119,154],"structure,":[85],"fully":[87],"utilizes":[88],"relative":[90],"distance":[91],"calculate":[94],"relationship":[97],"compensates":[99],"timings.":[103],"efficiency,":[105],"select":[107],"representative":[108],"elements":[109],"in":[110],"structure":[113],"roughly":[115],"represent":[116],"whole":[118],"score,":[120],"thereby":[121],"reducing":[122],"computational":[126],"time":[127,150],"costs.":[128],"Our":[129],"extensive":[130],"experiments":[131],"real-world":[133],"datasets":[134],"show":[135],"method":[139],"state-of-the-art":[141],"among":[143],"all":[144],"baselines,":[145],"complexities":[151],"of":[152],"component":[155],"re-d":[156],"uced":[157],"from":[158],"<tex":[159,163],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[160,164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathcal{O}(L^{2})$</tex>":[161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathcal{O}(L\\ln":[165],"L)$</tex>":[166],".":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}