{"id":"https://openalex.org/W4405424351","doi":"https://doi.org/10.1145/3681771.3700573","title":"Multiple Systems Combination to Improve Human Mobility Prediction","display_name":"Multiple Systems Combination to Improve Human Mobility Prediction","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4405424351","doi":"https://doi.org/10.1145/3681771.3700573"},"language":"en","primary_location":{"id":"doi:10.1145/3681771.3700573","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3681771.3700573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Human Mobility Prediction Challenge","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009311672","display_name":"Keiji Yasuda","orcid":null},"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":"Keiji Yasuda","raw_affiliation_strings":["Healthcare Medical Group, KDDI Research, Inc., Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0000-4537-9198","affiliations":[{"raw_affiliation_string":"Healthcare Medical Group, KDDI Research, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115457740","display_name":"Shoko Nukaya","orcid":null},"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":"Shoko Nukaya","raw_affiliation_strings":["Healthcare Medical Group, KDDI Research, Inc., Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0002-5902-2311","affiliations":[{"raw_affiliation_string":"Healthcare Medical Group, KDDI Research, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115457741","display_name":"Naoki Horie","orcid":null},"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":"Naoki Horie","raw_affiliation_strings":["Social Behavior Research Group, KDDI Research, Inc., Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0008-0667-4942","affiliations":[{"raw_affiliation_string":"Social Behavior Research Group, KDDI Research, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088176114","display_name":"Daisuke Kamisaka","orcid":"https://orcid.org/0000-0002-7196-876X"},"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":"Daisuke Kamisaka","raw_affiliation_strings":["Social Behavior Research Group, KDDI Research, Inc., Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7196-876X","affiliations":[{"raw_affiliation_string":"Social Behavior Research Group, KDDI Research, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210164495"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"49"},"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":0.9980999827384949,"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":0.9980999827384949,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10866","display_name":"Nutritional Studies and Diet","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6574660539627075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6574660539627075}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3681771.3700573","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3681771.3700573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Human Mobility Prediction Challenge","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":6,"referenced_works":["https://openalex.org/W2562607067","https://openalex.org/W2963341956","https://openalex.org/W4388472062","https://openalex.org/W4388472068","https://openalex.org/W4388472102","https://openalex.org/W6739901393"],"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":{"This":[0],"paper":[1],"describes":[2],"a":[3,54],"human":[4,29,63,72],"mobility":[5,30,64,73],"prediction":[6,31,47,87,103],"system":[7,25,43],"which":[8],"build":[9],"by":[10,85],"KDDI":[11],"Research,":[12],"Inc.":[13],"to":[14,61,68,78,92,112],"submit":[15],"for":[16],"Human":[17],"Mobility":[18],"Prediction":[19],"Challenge":[20,58],"(HuMob":[21],"Challenge)":[22],"2024.":[23],"The":[24,42],"consists":[26],"of":[27,50,56,65,75,89],"6":[28,51],"subsystems:":[32],"5":[33],"transformer-based":[34],"subsystems;":[35],"LSTM":[36],"(Long":[37],"Short-Term":[38],"Memory)":[39],"based":[40,100],"subsystem.":[41],"selects":[44],"the":[45,80,86,96,102,109],"best":[46],"result":[48],"out":[49],"outputs.":[52],"Since":[53],"task":[55],"HuMob":[57],"2024":[59],"is":[60,83,99],"predict":[62],"day":[66,76,90],"61":[67],"75":[69],"using":[70],"given":[71],"data":[74,107],"1":[77],"60,":[79],"selection":[81,97,110],"logic":[82,98],"built":[84],"performance":[88],"45":[91],"60":[93],"data.":[94],"Although":[95],"on":[101,105],"results":[104],"closed":[106],"set,":[108],"thought":[111],"work":[113],"precisely.":[114]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}