{"id":"https://openalex.org/W2963401630","doi":"https://doi.org/10.1145/3321408.3322834","title":"Mining heterogeneous urban data for retail store placement","display_name":"Mining heterogeneous urban data for retail store placement","publication_year":2019,"publication_date":"2019-05-17","ids":{"openalex":"https://openalex.org/W2963401630","doi":"https://doi.org/10.1145/3321408.3322834","mag":"2963401630"},"language":"en","primary_location":{"id":"doi:10.1145/3321408.3322834","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321408.3322834","pdf_url":null,"source":{"id":"https://openalex.org/S4306523950","display_name":"Proceedings of the ACM Turing Celebration Conference - China","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Turing Celebration Conference - China","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/A5032276665","display_name":"Jian Hua Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zeng","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101455930","display_name":"Bo Tang","orcid":"https://orcid.org/0000-0001-8424-0092"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Tang","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12306","display_name":"Urban and Freight Transport Logistics","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T12306","display_name":"Urban and Freight Transport Logistics","score":0.998199999332428,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9965999722480774,"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/retail-industry","display_name":"Retail industry","score":0.7404924035072327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5401901006698608},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.46539127826690674},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.34974831342697144},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.2590460181236267}],"concepts":[{"id":"https://openalex.org/C2986470052","wikidata":"https://www.wikidata.org/wiki/Q126793","display_name":"Retail industry","level":2,"score":0.7404924035072327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5401901006698608},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.46539127826690674},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.34974831342697144},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2590460181236267}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3321408.3322834","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321408.3322834","pdf_url":null,"source":{"id":"https://openalex.org/S4306523950","display_name":"Proceedings of the ACM Turing Celebration Conference - China","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Turing Celebration Conference - China","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1988134474","https://openalex.org/W2004683304","https://openalex.org/W2077698461","https://openalex.org/W2083227290","https://openalex.org/W2527694262","https://openalex.org/W2531946144","https://openalex.org/W2605038739","https://openalex.org/W2913940237","https://openalex.org/W3105669253","https://openalex.org/W4289866267"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2020142679","https://openalex.org/W2507364753","https://openalex.org/W2187310105","https://openalex.org/W2975994469"],"abstract_inverted_index":{"Retail":[0],"store":[1],"placement":[2],"problem":[3],"has":[4],"been":[5],"extensively":[6],"studied":[7],"in":[8,51],"both":[9],"academic":[10],"and":[11,53,63],"industry":[12],"as":[13],"it":[14],"decides":[15],"the":[16,44],"retail":[17],"success":[18],"of":[19,36,46,56],"a":[20],"business.":[21],"Existing":[22],"methods":[23,58],"exploited":[24],"either":[25],"consumer":[26],"studies":[27],"(e.g.,":[28,34],"consultant-based":[29],"solutions)":[30],"or":[31],"geographic":[32],"features":[33],"points":[35],"interests)":[37],"to":[38,43],"settle":[39],"it.":[40],"However,":[41],"due":[42],"limitations":[45],"data":[47],"sources":[48],"(i.e.,":[49],"costly":[50],"time":[52],"labor),":[54],"none":[55],"these":[57],"could":[59],"provide":[60],"an":[61],"accurate":[62],"timely":[64],"solution.":[65]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
