{"id":"https://openalex.org/W2280165022","doi":"https://doi.org/10.1109/gcce.2015.7398511","title":"A landmark-based route recommendation method for pedestrian walking strategies","display_name":"A landmark-based route recommendation method for pedestrian walking strategies","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2280165022","doi":"https://doi.org/10.1109/gcce.2015.7398511","mag":"2280165022"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2015.7398511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2015.7398511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)","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/A5024634541","display_name":"Siya Bao","orcid":"https://orcid.org/0000-0003-1993-9133"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Siya Bao","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Waseda University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110465260","display_name":"Tomoyuki Nitta","orcid":null},"institutions":[{"id":"https://openalex.org/I110995367","display_name":"Sprint (United States)","ror":"https://ror.org/04rxdpa15","country_code":"US","type":"company","lineage":["https://openalex.org/I110995367"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tomoyuki Nitta","raw_affiliation_strings":["ZENRIN DataCom Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZENRIN DataCom Co., Ltd","institution_ids":["https://openalex.org/I110995367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061625654","display_name":"Daisuke Shindou","orcid":null},"institutions":[{"id":"https://openalex.org/I110995367","display_name":"Sprint (United States)","ror":"https://ror.org/04rxdpa15","country_code":"US","type":"company","lineage":["https://openalex.org/I110995367"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daisuke Shindou","raw_affiliation_strings":["ZENRIN DataCom Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZENRIN DataCom Co., Ltd","institution_ids":["https://openalex.org/I110995367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061982025","display_name":"Masao Yanagisawa","orcid":"https://orcid.org/0000-0002-5168-3214"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masao Yanagisawa","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Waseda University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087516286","display_name":"Nozomu Togawa","orcid":"https://orcid.org/0000-0003-3400-3587"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nozomu Togawa","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Waseda University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Waseda University","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"92","issue":null,"first_page":"672","last_page":"673"},"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":0.9940999746322632,"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":0.9940999746322632,"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/T11106","display_name":"Data Management and Algorithms","score":0.9624999761581421,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9559000134468079,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.9836374521255493},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7614996433258057},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7495040893554688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.711011528968811},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5945075750350952},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44996920228004456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3793029487133026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.379234254360199},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3606671690940857},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.152385413646698}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9836374521255493},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7614996433258057},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7495040893554688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711011528968811},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5945075750350952},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44996920228004456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3793029487133026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.379234254360199},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3606671690940857},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.152385413646698},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2015.7398511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2015.7398511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2125645968","https://openalex.org/W2266291182"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2005087563","https://openalex.org/W566791342","https://openalex.org/W3136214354","https://openalex.org/W3172487415","https://openalex.org/W608736979","https://openalex.org/W631954924","https://openalex.org/W2148933895"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"landmark-based":[4],"route":[5],"recommendation":[6],"method":[7,36],"for":[8],"enjoyable":[9],"walking":[10,38],"atmosphere":[11],"strategies":[12],"by":[13],"accumulating":[14],"and":[15,23,41,50],"analyzing":[16],"geographical":[17],"information.":[18],"We":[19],"utilize":[20],"landmark":[21],"categorization":[22],"region":[24],"clustering":[25],"to":[26],"obtain":[27],"effective":[28],"elements.":[29],"Experimental":[30],"results":[31],"demonstrate":[32],"that":[33,43],"our":[34],"proposed":[35],"improves":[37],"environment":[39],"quality":[40],"confirm":[42],"it":[44],"is":[45],"applicable":[46],"in":[47],"both":[48],"urban":[49],"rural":[51],"areas.":[52]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}