{"id":"https://openalex.org/W4308987972","doi":"https://doi.org/10.1145/3557918.3565873","title":"SPEMI","display_name":"SPEMI","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4308987972","doi":"https://doi.org/10.1145/3557918.3565873"},"language":"en","primary_location":{"id":"doi:10.1145/3557918.3565873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557918.3565873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","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/A5063658399","display_name":"Jun Tang","orcid":"https://orcid.org/0000-0002-9135-3615"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Tang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765845","display_name":"Haoxiang Zhang","orcid":"https://orcid.org/0000-0002-3921-1724"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxiang Zhang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058109538","display_name":"Binjie Zhang","orcid":"https://orcid.org/0009-0009-2596-0124"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binjie Zhang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081458459","display_name":"Jiahui Jin","orcid":"https://orcid.org/0000-0001-9570-1456"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Jin","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090644485","display_name":"Y. Lyu","orcid":"https://orcid.org/0000-0002-7108-2109"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Lyu","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063658399"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.8889,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77903386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"95"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9983999729156494,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7106130123138428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7083097100257874},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.616105854511261},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6109542846679688},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.5964863896369934},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5510740876197815},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5475611686706543},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4252704977989197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40156495571136475},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2849059998989105},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08194106817245483}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7106130123138428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7083097100257874},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.616105854511261},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6109542846679688},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.5964863896369934},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5510740876197815},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5475611686706543},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4252704977989197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40156495571136475},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2849059998989105},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08194106817245483},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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:10.1145/3557918.3565873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557918.3565873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2783519195","https://openalex.org/W2983674809","https://openalex.org/W3034513094","https://openalex.org/W3133349961","https://openalex.org/W4237397001"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W2081900870","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W187246281","https://openalex.org/W1993531247"],"abstract_inverted_index":{"Region":[0],"embedding":[1,17,55],"is":[2],"a":[3,7,26,44,51,80,100,109],"primary":[4],"task":[5],"for":[6],"wide":[8],"variety":[9],"of":[10,70,119,133],"urban-related":[11],"downstream":[12],"applications.":[13],"However,":[14],"many":[15,33],"existing":[16],"techniques":[18],"neglected":[19],"the":[20,23,63,71,91,131],"fact":[21],"that":[22,85,107,128],"regions":[24,64],"in":[25,50,68],"city":[27],"have":[28],"been":[29],"developed":[30],"differently":[31],"by":[32,137],"factors":[34],"such":[35],"as":[36],"planning":[37],"policies,":[38],"economic,":[39],"and":[40],"population":[41],"mitigation.":[42],"Such":[43],"spatial":[45,94,102,105,114],"imbalance":[46],"problem":[47],"may":[48],"result":[49],"quite":[52],"different":[53],"region":[54,87,135],"to":[56,89,112,139],"distinguish":[57],"differences":[58],"between":[59],"regions,":[60],"even":[61],"though":[62],"could":[65],"be":[66],"similar":[67],"terms":[69],"certain":[72],"application":[73],"tasks.":[74],"In":[75,96],"this":[76],"paper,":[77],"we":[78,98],"propose":[79],"SPatial":[81],"EMInence":[82],"(SPEMI)":[83],"model":[84],"normalizes":[86],"embeddings":[88,136],"mitigate":[90],"effects":[92],"from":[93],"imbalance.":[95],"particular,":[97],"present":[99],"context-aware":[101],"feature,":[103],"called":[104],"eminence,":[106],"measures":[108],"region's":[110],"importance":[111],"its":[113],"context.":[115],"The":[116],"experimental":[117],"results":[118],"store":[120],"placement":[121],"recommendation":[122],"using":[123],"real-world":[124],"urban":[125],"data":[126],"show":[127],"SPEMI":[129],"improves":[130],"performance":[132],"citywide":[134],"up":[138],"27.92%.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-11-20T00:00:00"}