{"id":"https://openalex.org/W2989322893","doi":"https://doi.org/10.1145/3356994.3365505","title":"Uplift modeling for location-based online advertising","display_name":"Uplift modeling for location-based online advertising","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2989322893","doi":"https://doi.org/10.1145/3356994.3365505","mag":"2989322893"},"language":"en","primary_location":{"id":"doi:10.1145/3356994.3365505","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356994.3365505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising","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/A5032266190","display_name":"Shogo Kawanaka","orcid":"https://orcid.org/0000-0002-3221-3612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shogo Kawanaka","raw_affiliation_strings":["Research Fellowship for Young Scientists, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Fellowship for Young Scientists, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010654602","display_name":"Daisuke Moriwaki","orcid":"https://orcid.org/0000-0003-0727-7558"},"institutions":[{"id":"https://openalex.org/I4210089607","display_name":"CyberAgent (Japan)","ror":"https://ror.org/0060jg679","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210089607"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Moriwaki","raw_affiliation_strings":["CyberAgent, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CyberAgent, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210089607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9922000169754028,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.6355428099632263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5817340612411499},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.5294719934463501},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.37691134214401245},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.31144097447395325},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2691526412963867}],"concepts":[{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.6355428099632263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5817340612411499},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.5294719934463501},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.37691134214401245},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.31144097447395325},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2691526412963867}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3356994.3365505","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356994.3365505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W248351923","https://openalex.org/W1599655713","https://openalex.org/W1603952207","https://openalex.org/W1745376753","https://openalex.org/W2295598076","https://openalex.org/W2564917231","https://openalex.org/W2599043313","https://openalex.org/W2912883140","https://openalex.org/W2913139997","https://openalex.org/W2949676527","https://openalex.org/W2962897394","https://openalex.org/W3005197941","https://openalex.org/W3097704231","https://openalex.org/W3102476541","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3150755883","https://openalex.org/W2346030802","https://openalex.org/W2758801054","https://openalex.org/W3121746932","https://openalex.org/W2074264961","https://openalex.org/W104007660","https://openalex.org/W324811437","https://openalex.org/W2101949473","https://openalex.org/W4293145640","https://openalex.org/W2739666145"],"abstract_inverted_index":{"As":[0],"consumers":[1],"spend":[2],"substantial":[3],"hours":[4],"on":[5,46,75,95],"their":[6],"mobile":[7],"phones,":[8],"brick-and-mortar":[9],"businesses":[10],"need":[11],"to":[12,15,21,64,84,99,104],"reach":[13],"out":[14],"customers":[16],"online":[17],"and":[18,103],"transfer":[19],"them":[20],"offline":[22],"stores":[23,43],"(O2O,":[24],"online-to-offline).":[25],"Widely-used":[26],"location-based":[27,60,96],"advertising":[28,35,73,97],"is":[29,54,62],"considered":[30],"as":[31],"effective":[32,58],"in":[33,67],"O2O":[34],"since":[36],"the":[37,47,59,65,69],"chance":[38],"that":[39],"a":[40,85],"consumer":[41],"visits":[42],"crucially":[44],"depends":[45],"geographical":[48],"attributes":[49],"(e.g.":[50],"distance).":[51],"However,":[52],"it":[53],"still":[55],"unclear":[56],"how":[57],"targeting":[61],"due":[63],"difficulty":[66],"measuring":[68],"net":[70,110],"effect":[71,111],"of":[72,112],"interventions":[74],"consumers.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"apply":[81],"uplift":[82],"modeling":[83],"unique":[86],"dataset":[87],"extracted":[88],"from":[89],"randomized":[90],"controlled":[91],"trials":[92],"(RCTs)":[93],"conducted":[94],"campaigns":[98],"find":[100],"important":[101],"geo-features":[102],"predict":[105],"user":[106],"segments":[107],"with":[108],"high":[109],"advertisement.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}