{"id":"https://openalex.org/W3007674884","doi":"https://doi.org/10.1145/3369822","title":"Learning from Hometown and Current City","display_name":"Learning from Hometown and Current City","publication_year":2019,"publication_date":"2019-12-11","ids":{"openalex":"https://openalex.org/W3007674884","doi":"https://doi.org/10.1145/3369822","mag":"3007674884"},"language":"en","primary_location":{"id":"doi:10.1145/3369822","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369822","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-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/A5052892856","display_name":"Jingtao Ding","orcid":"https://orcid.org/0000-0001-7985-6263"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingtao Ding","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110257299","display_name":"Guanghui Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Yu","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101398900","display_name":"Yong Li","orcid":"https://orcid.org/0000-0002-9430-0914"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044100655","display_name":"Depeng Jin","orcid":"https://orcid.org/0000-0003-0419-5514"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Depeng Jin","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004355908","display_name":"Hui Gao","orcid":"https://orcid.org/0000-0003-0162-2445"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Gao","raw_affiliation_strings":["Tencent Inc., Beijing"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Beijing","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052892856"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":4.9225,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95691046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3","issue":"4","first_page":"1","last_page":"28"},"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":0.995199978351593,"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/T11478","display_name":"Caching and Content Delivery","score":0.9832000136375427,"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/point-of-interest","display_name":"Point of interest","score":0.7164472341537476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6880419850349426},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6098207831382751},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.49124592542648315},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45468828082084656},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3947718143463135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3621365427970886},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.340310275554657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3212597370147705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11885339021682739}],"concepts":[{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.7164472341537476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6880419850349426},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6098207831382751},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.49124592542648315},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45468828082084656},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3947718143463135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3621365427970886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.340310275554657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3212597370147705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11885339021682739},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3369822","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369822","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G1757078732","display_name":null,"funder_award_id":"20031887521","funder_id":"https://openalex.org/F4320329777","funder_display_name":"Beijing National Research Center For Information Science And Technology"},{"id":"https://openalex.org/G6799485516","display_name":null,"funder_award_id":"61971267, 61972223, 61861136003, 61621091","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"},{"id":"https://openalex.org/F4320329777","display_name":"Beijing National Research Center For Information Science And Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W89444804","https://openalex.org/W1490382064","https://openalex.org/W1981886741","https://openalex.org/W2000764607","https://openalex.org/W2002834872","https://openalex.org/W2004585457","https://openalex.org/W2017921654","https://openalex.org/W2025101014","https://openalex.org/W2035237009","https://openalex.org/W2052626679","https://openalex.org/W2054141820","https://openalex.org/W2062079386","https://openalex.org/W2073013176","https://openalex.org/W2074194940","https://openalex.org/W2082927600","https://openalex.org/W2084677224","https://openalex.org/W2085040216","https://openalex.org/W2087692915","https://openalex.org/W2101409192","https://openalex.org/W2109242993","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2150886314","https://openalex.org/W2154259852","https://openalex.org/W2189936406","https://openalex.org/W2314598940","https://openalex.org/W2340502990","https://openalex.org/W2362771282","https://openalex.org/W2394103513","https://openalex.org/W2408538552","https://openalex.org/W2444485119","https://openalex.org/W2463983882","https://openalex.org/W2520951747","https://openalex.org/W2531384334","https://openalex.org/W2605350416","https://openalex.org/W2629386751","https://openalex.org/W2741403748","https://openalex.org/W2752520290","https://openalex.org/W2762735242","https://openalex.org/W2767696183","https://openalex.org/W2767778908","https://openalex.org/W2769747407","https://openalex.org/W2782298158","https://openalex.org/W2782696945","https://openalex.org/W2783519195","https://openalex.org/W2799048248","https://openalex.org/W2808446163","https://openalex.org/W2887131022","https://openalex.org/W2889535606","https://openalex.org/W2900229157","https://openalex.org/W2930189014","https://openalex.org/W2930399901","https://openalex.org/W2963367478"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2798997222","https://openalex.org/W2798198862","https://openalex.org/W2793336762","https://openalex.org/W3048565508","https://openalex.org/W2890423584","https://openalex.org/W3013764321"],"abstract_inverted_index":{"With":[0],"more":[1,3],"and":[2,65,70,80,95,107,122,126,136,155,164,205,215,222],"frequent":[4],"population":[5],"movement":[6],"between":[7,68,75],"different":[8],"cities,":[9],"like":[10],"users'":[11],"travel":[12],"or":[13],"business":[14],"trip,":[15],"recommending":[16],"personalized":[17],"cross-city":[18,225],"Point-of-Interests":[19],"(POIs)":[20],"for":[21,134],"these":[22],"users":[23],"has":[24],"become":[25],"an":[26],"important":[27],"scenario":[28],"of":[29,53,61,178,185,198,217],"POI":[30,88,108,127,226],"recommendation":[31],"tasks.":[32],"However,":[33],"traditional":[34],"models":[35],"degrade":[36],"significantly":[37],"due":[38],"to":[39,202],"sparsity":[40],"problem":[41],"because":[42],"travelers":[43],"only":[44],"have":[45],"limited":[46],"visiting":[47],"behaviors.":[48],"Through":[49],"a":[50,87,119,148,156,182],"detailed":[51],"analysis":[52,210],"real-world":[54,170,203],"check-data,":[55],"we":[56,85,144],"observe":[57],"1)":[58],"the":[59,141,176,196,213],"phenomenon":[60],"travelers'":[62],"interest":[63,220],"drift":[64,223],"transfer":[66,221],"co-exist":[67],"hometown":[69],"current":[71],"city;":[72],"2)":[73],"differences":[74],"popular":[76],"POIs":[77],"among":[78],"locals":[79,135],"travelers.":[81],"Motivated":[82],"by":[83],"this,":[84],"propose":[86],"Recommendation":[89],"framework":[90,201],"with":[91,147,181],"User":[92],"Interest":[93],"Drift":[94],"Transfer":[96],"(PR-UIDT),":[97],"which":[98],"jointly":[99],"considers":[100],"above":[101],"two":[102,131],"factors":[103],"when":[104],"designing":[105],"user":[106,114,219],"latent":[109],"vector.":[110],"In":[111],"this":[112,200],"framework,":[113,143,180],"vector":[115],"is":[116,128],"divided":[117],"into":[118,224],"city-independent":[120],"part":[121],"another":[123],"city-dependent":[124],"part,":[125],"represented":[129],"as":[130,193,195],"independent":[132],"vectors":[133],"travelers,":[137],"respectively.":[138],"To":[139],"evaluate":[140],"proposed":[142],"implement":[145],"it":[146],"square":[149],"error":[150,158],"based":[151,159],"matrix":[152,160],"factorization":[153,161],"model":[154],"ranking":[157],"model,":[162],"respectively,":[163],"conduct":[165],"extensive":[166],"experiments":[167],"on":[168],"three":[169],"datasets.":[171],"The":[172],"experiment":[173],"results":[174],"demonstrate":[175],"superiority":[177],"PR-UIDT":[179],"relative":[183],"improvement":[184],"0.4%":[186],"~":[187],"20.5%":[188],"over":[189],"several":[190],"state-of-the-art":[191],"baselines,":[192],"well":[194],"practicality":[197],"applying":[199],"applications":[204],"multi-city":[206],"scenarios.":[207],"Further":[208],"qualitative":[209],"confirms":[211],"both":[212],"plausibility":[214],"validity":[216],"combining":[218],"recommendation.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
