{"id":"https://openalex.org/W7155005777","doi":"https://doi.org/10.1145/3811037","title":"CLIFT: Cross-City Mobility-Derived Lifestyle Pattern Transfer for Improved Multi-City Next Location Prediction","display_name":"CLIFT: Cross-City Mobility-Derived Lifestyle Pattern Transfer for Improved Multi-City Next Location Prediction","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155005777","doi":"https://doi.org/10.1145/3811037"},"language":"en","primary_location":{"id":"doi:10.1145/3811037","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3811037","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3811037","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101593859","display_name":"Haru Terashima","orcid":"https://orcid.org/0009-0001-0234-5307"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haru Terashima","raw_affiliation_strings":["Graduate School of Engineering, Nagoya University"],"raw_orcid":"https://orcid.org/0009-0001-0234-5307","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017820855","display_name":"Naoki Tamura","orcid":"https://orcid.org/0000-0002-3362-697X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Tamura","raw_affiliation_strings":["Graduate School of Engineering, Nagoya University"],"raw_orcid":"https://orcid.org/0000-0002-3362-697X","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067836835","display_name":"Kazuyuki Shoji","orcid":"https://orcid.org/0000-0001-5946-2646"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuyuki Shoji","raw_affiliation_strings":["Graduate School of Engineering, Nagoya University"],"raw_orcid":"https://orcid.org/0000-0001-5946-2646","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018591931","display_name":"Tahera Hossain","orcid":"https://orcid.org/0000-0002-8985-9043"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tahera Hossain","raw_affiliation_strings":["Graduate School of Engineering, Nagoya University"],"raw_orcid":"https://orcid.org/0000-0002-8985-9043","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002452411","display_name":"Shin Katayama","orcid":"https://orcid.org/0000-0002-5614-4412"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin Katayama","raw_affiliation_strings":["Graduate School of Engineering, Nagoya University"],"raw_orcid":"https://orcid.org/0000-0002-5614-4412","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044005499","display_name":"Kenta Urano","orcid":"https://orcid.org/0000-0003-2906-537X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Urano","raw_affiliation_strings":["Graduate School of Engineering, Nagoya University"],"raw_orcid":"https://orcid.org/0000-0003-2906-537X","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083114149","display_name":"Takuro Yonezawa","orcid":"https://orcid.org/0000-0001-9781-0402"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuro Yonezawa","raw_affiliation_strings":["Graduate School of Engineering, Nagoya University"],"raw_orcid":"https://orcid.org/0000-0001-9781-0402","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045353484","display_name":"Nobuo Kawaguchi","orcid":"https://orcid.org/0000-0002-0444-2290"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuo Kawaguchi","raw_affiliation_strings":["Institutes of Innovation for Future Society, Nagoya University"],"raw_orcid":"https://orcid.org/0000-0002-0444-2290","affiliations":[{"raw_affiliation_string":"Institutes of Innovation for Future Society, Nagoya University","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52053519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"2","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.8421000242233276,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.8421000242233276,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.10239999741315842,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.012799999676644802,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8032000064849854},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5055999755859375},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.4075999855995178},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.36880001425743103},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.3546999990940094},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.34360000491142273}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8032000064849854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704800009727478},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47859999537467957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4505000114440918},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3084999918937683},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2980000078678131},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25859999656677246},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3811037","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3811037","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3811037","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3811037","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.5141159296035767,"id":"https://metadata.un.org/sdg/13"},{"display_name":"Sustainable cities and communities","score":0.4480385482311249,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1964461063","https://openalex.org/W1982300822","https://openalex.org/W2064675550","https://openalex.org/W2085009188","https://openalex.org/W2556289220","https://openalex.org/W3040157551","https://openalex.org/W3080131774","https://openalex.org/W3128184560","https://openalex.org/W4220943102","https://openalex.org/W4223422807","https://openalex.org/W4376455397","https://openalex.org/W4382989325","https://openalex.org/W4385061950","https://openalex.org/W4394932368","https://openalex.org/W4396695389","https://openalex.org/W4399881384","https://openalex.org/W4405424315","https://openalex.org/W4405424322","https://openalex.org/W4405424324","https://openalex.org/W4405424343","https://openalex.org/W4405424369","https://openalex.org/W4405424372","https://openalex.org/W4412605374"],"related_works":[],"abstract_inverted_index":{"We":[0,137],"propose":[1],"CLIFT":[2,88,142,165,190],"(":[3],"C":[4],"ross-City":[5],"Lif":[6],"estyle":[7],"Pattern":[8],"T":[9],"ransfer":[10],"for":[11,44],"Human":[12,199],"Mobility":[13,200],"Prediction),":[14],"a":[15,116],"novel":[16],"framework":[17],"that":[18,78],"enhances":[19],"human":[20,36,148],"mobility":[21,33,37,86,109,118,135,149],"prediction":[22,38],"by":[23,171,180],"integrating":[24],"general":[25,98],"lifestyle":[26,99],"patterns":[27,83,100,132],"shared":[28,101],"across":[29,102],"cities":[30,69],"with":[31,70,115,155],"city-specific":[32,85,108,134],"patterns.":[34],"Accurate":[35],"in":[39,67,195],"urban":[40],"environments":[41],"is":[42],"critical":[43],"transportation":[45],"planning,":[46],"marketing":[47],"strategies,":[48],"and":[49,62,84,104,133,158,168,173,179,182,213],"disaster":[50],"response.":[51],"However,":[52],"most":[53],"existing":[54],"deep":[55,160],"learning":[56],"approaches":[57],"use":[58],"only":[59],"single-city":[60,157,177],"data":[61],"exhibit":[63],"significant":[64],"performance":[65,154,208],"degradation":[66],"small":[68],"limited":[71],"training":[72],"data.":[73],"These":[74],"limitations":[75],"motivate":[76],"methods":[77],"jointly":[79,127],"leverage":[80],"cross-city":[81,129],"behavioral":[82,131],"characteristics.":[87,136],"addresses":[89],"this":[90],"challenge":[91],"through":[92,143],"dual":[93],"complementary":[94],"encoders:":[95],"one":[96],"captures":[97,107],"cities,":[103],"the":[105,124,139,146,176,185,192,196,210],"other":[106],"patterns;":[110],"their":[111],"outputs":[112],"are":[113],"integrated":[114],"Transformer-based":[117],"predictor":[119],"(LP-BERT).":[120],"This":[121],"architecture":[122],"enables":[123],"model":[125],"to":[126],"capture":[128],"transferable":[130],"evaluated":[138],"effectiveness":[140],"of":[141],"experiments":[144],"on":[145],"multi-city":[147,159,186],"dataset":[150,212],"LYMob-4Cities,":[151],"comparing":[152],"its":[153],"both":[156],"learning-based":[161],"methods.":[162],"On":[163],"average,":[164],"improved":[166],"GEOBLEU":[167],"Top-1":[169],"accuracy":[170],"11.1%":[172],"10.6%":[174],"over":[175,184],"baseline,":[178,187],"5.0%":[181],"7.9%":[183],"respectively.":[188],"Furthermore,":[189],"outperformed":[191],"top-ranked":[193],"teams":[194],"international":[197],"competition,":[198],"Prediction":[201],"Challenge":[202],"2024":[203],",":[204],"demonstrating":[205],"superior":[206],"predictive":[207],"under":[209],"same":[211],"task":[214],"setting.":[215]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-04-21T00:00:00"}
