{"id":"https://openalex.org/W2930399901","doi":"https://doi.org/10.1145/3314413","title":"From Fingerprint to Footprint","display_name":"From Fingerprint to Footprint","publication_year":2019,"publication_date":"2019-03-29","ids":{"openalex":"https://openalex.org/W2930399901","doi":"https://doi.org/10.1145/3314413","mag":"2930399901"},"language":"en","primary_location":{"id":"doi:10.1145/3314413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314413","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/A5013394195","display_name":"Zhen Tu","orcid":"https://orcid.org/0000-0001-5431-6842"},"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":"Zhen Tu","raw_affiliation_strings":["Department of Electrical Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103941965","display_name":"Yali Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yali Fan","raw_affiliation_strings":["Sun Yat-Sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103621816","display_name":"Yong Li","orcid":"https://orcid.org/0000-0002-5966-7470"},"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":["Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037216720","display_name":"Xiang Chen","orcid":"https://orcid.org/0000-0002-2594-0600"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["Sun Yat-Sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101527758","display_name":"Li Su","orcid":"https://orcid.org/0009-0008-7264-6333"},"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":"Li Su","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","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 Electrical Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology(BNRist), Department of Electrical Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013394195"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":6.7,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96801111,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"3","issue":"1","first_page":"1","last_page":"22"},"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":0.9983000159263611,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8035421371459961},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6391518115997314},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.6127594113349915},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.5692697763442993},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5600098967552185},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5214195251464844},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.5026378631591797},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.4962781071662903},{"id":"https://openalex.org/keywords/mobile-apps","display_name":"Mobile apps","score":0.4188348054885864},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.41172194480895996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3822351098060608},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.365034818649292},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34956222772598267},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32999831438064575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2932347059249878},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.28944486379623413},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10048741102218628},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09331408143043518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8035421371459961},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6391518115997314},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.6127594113349915},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.5692697763442993},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5600098967552185},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5214195251464844},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.5026378631591797},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.4962781071662903},{"id":"https://openalex.org/C2988145974","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Mobile apps","level":2,"score":0.4188348054885864},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.41172194480895996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3822351098060608},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.365034818649292},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34956222772598267},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32999831438064575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2932347059249878},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.28944486379623413},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10048741102218628},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09331408143043518},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3314413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314413","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":[],"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/G7762888927","display_name":null,"funder_award_id":"61861136003, 61621091, 61673237","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":45,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W1498305593","https://openalex.org/W1832221731","https://openalex.org/W1990568869","https://openalex.org/W2000764607","https://openalex.org/W2005567524","https://openalex.org/W2012580531","https://openalex.org/W2032654855","https://openalex.org/W2051210262","https://openalex.org/W2054141820","https://openalex.org/W2056510157","https://openalex.org/W2062231365","https://openalex.org/W2063571473","https://openalex.org/W2070561555","https://openalex.org/W2075743842","https://openalex.org/W2077292125","https://openalex.org/W2077451659","https://openalex.org/W2082927600","https://openalex.org/W2099913530","https://openalex.org/W2117420919","https://openalex.org/W2117587045","https://openalex.org/W2119825970","https://openalex.org/W2120761625","https://openalex.org/W2144487656","https://openalex.org/W2154259852","https://openalex.org/W2167117130","https://openalex.org/W2292672935","https://openalex.org/W2314598940","https://openalex.org/W2385600359","https://openalex.org/W2460937626","https://openalex.org/W2509009161","https://openalex.org/W2511316824","https://openalex.org/W2512627987","https://openalex.org/W2514936170","https://openalex.org/W2516874331","https://openalex.org/W2534727297","https://openalex.org/W2539781657","https://openalex.org/W2546093686","https://openalex.org/W2567312369","https://openalex.org/W2769747407","https://openalex.org/W2890637044","https://openalex.org/W2950310450","https://openalex.org/W2951369132","https://openalex.org/W2997842691","https://openalex.org/W3102532171"],"related_works":["https://openalex.org/W2788622508","https://openalex.org/W2061572266","https://openalex.org/W2923216674","https://openalex.org/W2576496345","https://openalex.org/W2165708653","https://openalex.org/W1517623124","https://openalex.org/W1559600655","https://openalex.org/W4225581314","https://openalex.org/W4362470823","https://openalex.org/W2930399901"],"abstract_inverted_index":{"With":[0],"increasing":[1],"diversity":[2],"of":[3,112],"user":[4,59,76,168],"interest":[5,60],"and":[6,13,61,97,114],"preference,":[7,84],"personalized":[8,54,87,183],"location":[9,55,62,83,88,184],"recommendation":[10,29,56,89,185],"is":[11,26,50,151,161],"essential":[12],"beneficial":[14],"to":[15,52,74,82,174],"our":[16,106,120],"daily":[17],"life.":[18],"To":[19],"achieve":[20,86,140],"this,":[21],"the":[22,27,92,123,146,157,162,179],"most":[23],"critical":[24],"challenge":[25],"cold-start":[28,37,128,135],"problem,":[30,129],"for":[31,166,181],"we":[32,46,85,104,137],"cannot":[33],"learn":[34],"preference":[35],"from":[36,64,78,171],"users":[38],"without":[39],"any":[40],"historical":[41],"records.":[42],"In":[43],"this":[44],"paper,":[45],"demonstrate":[47,118],"that":[48,119],"it":[49],"feasible":[51],"make":[53],"by":[57],"learning":[58,91,170],"features":[63],"app":[65,79],"usage":[66,80],"data.":[67],"By":[68],"proposing":[69],"a":[70,110,141],"novel":[71],"generative":[72],"model":[73],"transfer":[75],"interests":[77,169],"behavior":[81],"via":[90],"interest's":[93],"correlation":[94],"between":[95],"locations":[96],"apps.":[98],"Based":[99],"on":[100],"two":[101],"real-world":[102],"datasets,":[103],"evaluate":[105],"method's":[107],"performance":[108],"with":[109],"variety":[111],"scenarios":[113],"parameters.":[115],"The":[116],"results":[117],"method":[121],"outperforms":[122],"state-of-the-art":[124],"solutions":[125],"in":[126,144],"solving":[127],"i.e.,":[130],"when":[131],"there":[132],"are":[133],"60%":[134],"users,":[136],"can":[138],"still":[139],"77.0%":[142],"hitrate":[143],"recommending":[145],"top":[147],"five":[148],"locations,":[149],"which":[150,177],"at":[152],"least":[153],"9.6%":[154],"higher":[155],"than":[156],"baselines.":[158],"Our":[159],"study":[160],"first":[163],"step":[164],"forward":[165],"transferring":[167],"online":[172],"fingerprints":[173],"offline":[175],"footprints,":[176],"paves":[178],"way":[180],"better":[182],"services.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2025-10-10T00:00:00"}