{"id":"https://openalex.org/W4404612087","doi":"https://doi.org/10.1145/3678717.3691234","title":"Privacy Preserved Taxi Demand Prediction System for Distributed Data","display_name":"Privacy Preserved Taxi Demand Prediction System for Distributed Data","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404612087","doi":"https://doi.org/10.1145/3678717.3691234"},"language":"en","primary_location":{"id":"doi:10.1145/3678717.3691234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3691234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","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/A5011872712","display_name":"Ren Ozeki","orcid":"https://orcid.org/0000-0003-4237-4644"},"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":"Ren Ozeki","raw_affiliation_strings":["Osaka University, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4237-4644","affiliations":[{"raw_affiliation_string":"Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023279673","display_name":"Haruki Yonekura","orcid":"https://orcid.org/0000-0001-8184-3883"},"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":"Haruki Yonekura","raw_affiliation_strings":["Osaka University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8184-3883","affiliations":[{"raw_affiliation_string":"Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013317917","display_name":"Hamada Rizk","orcid":"https://orcid.org/0000-0002-8278-8801"},"institutions":[{"id":"https://openalex.org/I21376657","display_name":"Tanta University","ror":"https://ror.org/016jp5b92","country_code":"EG","type":"education","lineage":["https://openalex.org/I21376657"]},{"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":["EG","JP"],"is_corresponding":false,"raw_author_name":"Hamada Rizk","raw_affiliation_strings":["Tanta University, Egypt, Osaka University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8278-8801","affiliations":[{"raw_affiliation_string":"Tanta University, Egypt, Osaka University, Japan","institution_ids":["https://openalex.org/I21376657","https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084448172","display_name":"Hirozumi Yamaguchi","orcid":"https://orcid.org/0000-0003-2273-4876"},"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":"Hirozumi Yamaguchi","raw_affiliation_strings":["Osaka University, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2273-4876","affiliations":[{"raw_affiliation_string":"Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011872712"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.6623,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76263359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9937000274658203,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6872020959854126},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.49146974086761475},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4876943528652191}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872020959854126},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.49146974086761475},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4876943528652191}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3678717.3691234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3691234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W769353746","https://openalex.org/W1969454839","https://openalex.org/W2010362518","https://openalex.org/W2015363484","https://openalex.org/W2068177306","https://openalex.org/W2079833280","https://openalex.org/W2134167315","https://openalex.org/W2136114025","https://openalex.org/W2148143831","https://openalex.org/W2159890390","https://openalex.org/W2535690855","https://openalex.org/W2536977318","https://openalex.org/W2567149662","https://openalex.org/W2788134583","https://openalex.org/W2795987214","https://openalex.org/W2809598685","https://openalex.org/W2936503027","https://openalex.org/W2963351448","https://openalex.org/W2963456518","https://openalex.org/W2997868741","https://openalex.org/W3017206470","https://openalex.org/W3033686777","https://openalex.org/W3034247928","https://openalex.org/W3036770823","https://openalex.org/W3039660423","https://openalex.org/W3080190685","https://openalex.org/W3112044954","https://openalex.org/W3120370876","https://openalex.org/W3142722547","https://openalex.org/W3165806999","https://openalex.org/W3182158470","https://openalex.org/W4213044365","https://openalex.org/W4213248681","https://openalex.org/W4282548202","https://openalex.org/W4285384024","https://openalex.org/W4286218415","https://openalex.org/W4287147252","https://openalex.org/W4287185050","https://openalex.org/W4309651983","https://openalex.org/W4309794509","https://openalex.org/W4366250349","https://openalex.org/W4385626284","https://openalex.org/W4386066215","https://openalex.org/W4386072554","https://openalex.org/W4386082974","https://openalex.org/W4387841511","https://openalex.org/W4392649395","https://openalex.org/W4409659984"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Accurate":[0],"taxi-demand":[1,75],"prediction":[2,153],"is":[3,107,114],"essential":[4],"for":[5,74],"optimizing":[6],"taxi":[7,132],"operations":[8],"and":[9,24,104,121],"enhancing":[10],"urban":[11],"transportation":[12],"services.":[13],"However,":[14],"using":[15,67,127],"customers'":[16,149],"data":[17,40,50,117,129,150],"in":[18,135],"these":[19],"systems":[20],"raises":[21],"significant":[22],"privacy":[23,32,120,147],"security":[25],"concerns.":[26],"Traditional":[27],"federated":[28,94,105],"learning":[29,69,73,106],"addresses":[30],"some":[31],"issues":[33],"by":[34,82,155],"enabling":[35,83],"model":[36,91],"training":[37],"without":[38,116],"direct":[39],"exchange":[41],"but":[42],"often":[43],"struggles":[44],"with":[45,71],"accuracy":[46,154],"due":[47],"to":[48,86,160],"varying":[49],"distributions":[51],"across":[52],"different":[53],"regions":[54],"or":[55],"service":[56,133],"providers.":[57],"In":[58,96],"this":[59,97],"paper,":[60],"we":[61],"propose":[62],"CC-Net:":[63],"a":[64,89],"novel":[65],"approach":[66,126],"collaborative":[68],"enhanced":[70],"contrastive":[72],"prediction.":[76],"Our":[77],"method":[78],"ensures":[79],"high":[80],"performance":[81],"multiple":[84],"parties":[85,100],"collaboratively":[87],"train":[88],"demand-prediction":[90],"through":[92],"hierarchical":[93],"learning.":[95],"approach,":[98],"similar":[99],"are":[101],"clustered":[102],"together,":[103],"applied":[108],"within":[109],"each":[110],"cluster.":[111],"The":[112,140],"similarity":[113],"defined":[115],"exchange,":[118],"ensuring":[119],"security.":[122],"We":[123],"evaluated":[124],"our":[125],"real-world":[128],"from":[130],"five":[131],"providers":[134],"Japan":[136],"over":[137],"fourteen":[138],"months.":[139],"results":[141],"demonstrate":[142],"that":[143],"CC-Net":[144],"maintains":[145],"the":[146],"of":[148],"while":[151],"improving":[152],"at":[156],"least":[157],"2.2%":[158],"compared":[159],"existing":[161],"techniques.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}