{"id":"https://openalex.org/W3000545576","doi":"https://doi.org/10.1109/icdmw.2019.00158","title":"Loyal Consumers or One-Time Deal Hunters: Repeat Buyer Prediction for E-Commerce","display_name":"Loyal Consumers or One-Time Deal Hunters: Repeat Buyer Prediction for E-Commerce","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3000545576","doi":"https://doi.org/10.1109/icdmw.2019.00158","mag":"3000545576"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw.2019.00158","doi":"https://doi.org/10.1109/icdmw.2019.00158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2019.00158","pdf_url":null,"source":{"id":"https://openalex.org/S4393918563","display_name":"IEEE ... International Conference on Data Mining workshops","issn_l":"2375-9259","issn":["2375-9259"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"2019 International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/135551","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024012132","display_name":"Bo Zhao","orcid":"https://orcid.org/0000-0002-6406-3911","observed_orcids":["https://orcid.org/0000-0002-6406-3911","https://orcid.org/0009-0003-9189-7641","https://orcid.org/0000-0003-4247-4987"]},"institutions":[{"id":"https://openalex.org/I4210091733","display_name":"Gesellschaft f\u00fcr wissenschaftliche Datenverarbeitung mbH G\u00f6ttingen","ror":"https://ror.org/00cd95c65","country_code":"DE","type":"other","lineage":["https://openalex.org/I4210091733","https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bo Zhao","raw_affiliation_strings":["Gesellschaft f\u00fcr wissenschaftliche, Datenverarbeitung mbH G\u00f6ttingen, G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gesellschaft f\u00fcr wissenschaftliche, Datenverarbeitung mbH G\u00f6ttingen, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I4210091733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087434029","display_name":"Atsuhiro Takasu","orcid":"https://orcid.org/0000-0002-9061-7949","observed_orcids":["https://orcid.org/0000-0002-9061-7949"]},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsuhiro Takasu","raw_affiliation_strings":["Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010508067","display_name":"Ramin Yahyapour","orcid":"https://orcid.org/0000-0002-9057-4395","observed_orcids":["https://orcid.org/0000-0002-9057-4395"]},"institutions":[{"id":"https://openalex.org/I4210091733","display_name":"Gesellschaft f\u00fcr wissenschaftliche Datenverarbeitung mbH G\u00f6ttingen","ror":"https://ror.org/00cd95c65","country_code":"DE","type":"other","lineage":["https://openalex.org/I4210091733","https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ramin Yahyapour","raw_affiliation_strings":["Gesellschaft f\u00fcr wissenschaftliche, Datenverarbeitung mbH G\u00f6ttingen, G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gesellschaft f\u00fcr wissenschaftliche, Datenverarbeitung mbH G\u00f6ttingen, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I4210091733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018318168","display_name":"Xiaoming Fu","orcid":"https://orcid.org/0000-0002-8012-4753","observed_orcids":["https://orcid.org/0000-0002-8012-4753"]},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiaoming Fu","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of G\u00f6ttingen, G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of G\u00f6ttingen, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7176,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89889514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1080","last_page":"1087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9937000274658203,"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/T12384","display_name":"Customer churn and segmentation","score":0.9937000274658203,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.0015999999595806003,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/customer-loyalty","display_name":"customer loyalty","score":0.9419999718666077},{"id":"https://openalex.org/keywords/e-commerce-promotion","display_name":"e-commerce promotion","score":0.8429999947547913},{"id":"https://openalex.org/keywords/double-11","display_name":"Double 11","score":0.7900000214576721},{"id":"https://openalex.org/keywords/customer-targeting","display_name":"customer targeting","score":0.6639999747276306},{"id":"https://openalex.org/keywords/tmall","display_name":"Tmall","score":0.503000020980835},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.47699999809265137}],"concepts":[{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.5871883034706116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5796539187431335},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5412807464599609},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5391573905944824},{"id":"https://openalex.org/C15189868","wikidata":"https://www.wikidata.org/wiki/Q534685","display_name":"Long tail","level":2,"score":0.5048118829727173},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4628312885761261},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.460019052028656},{"id":"https://openalex.org/C78597825","wikidata":"https://www.wikidata.org/wiki/Q484847","display_name":"E-commerce","level":2,"score":0.45764368772506714},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.4575139880180359},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.44849610328674316},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3728436827659607},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17049843072891235},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16483014822006226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10769957304000854},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icdmw.2019.00158","doi":"https://doi.org/10.1109/icdmw.2019.00158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2019.00158","pdf_url":null,"source":{"id":"https://openalex.org/S4393918563","display_name":"IEEE ... International Conference on Data Mining workshops","issn_l":"2375-9259","issn":["2375-9259"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"2019 International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.goettingen-research-online.de:2/135551","doi":null,"is_oa":true,"landing_page_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/135551","pdf_url":null,"source":{"id":"https://openalex.org/S4306401634","display_name":"GoeScholar  The Publication Server of the Georg-August-Universit\u00e4t G\u00f6ttingen (Georg-August-Universit\u00e4t G\u00f6ttingen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210122495","host_organization_name":"Asklepios Klinik St. Georg","host_organization_lineage":["https://openalex.org/I4210122495"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.mpg.de:item_3283272","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/21.11116/0000-0007-E541-D","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Papapetrou, Panagiotis, Xueqi Cheng, Qing He (Eds.): 2019 International Conference on Data Mining Workshops (ICDM Workshops 2019)","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:publications.goettingen-research-online.de:2/135551","doi":null,"is_oa":true,"landing_page_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/135551","pdf_url":null,"source":{"id":"https://openalex.org/S4306401634","display_name":"GoeScholar  The Publication Server of the Georg-August-Universit\u00e4t G\u00f6ttingen (Georg-August-Universit\u00e4t G\u00f6ttingen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210122495","host_organization_name":"Asklepios Klinik St. Georg","host_organization_lineage":["https://openalex.org/I4210122495"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W115528473","https://openalex.org/W1530508055","https://openalex.org/W1678356000","https://openalex.org/W1994473607","https://openalex.org/W2069722994","https://openalex.org/W2094286023","https://openalex.org/W2109816759","https://openalex.org/W2110325612","https://openalex.org/W2118585731","https://openalex.org/W2295739661","https://openalex.org/W2511794140","https://openalex.org/W2585519298","https://openalex.org/W4399647672","https://openalex.org/W6676522543"],"related_works":["https://openalex.org/W7133936671","https://openalex.org/W2511794140","https://openalex.org/W2905266897","https://openalex.org/W2948696451","https://openalex.org/W7095093892","https://openalex.org/W2996769773","https://openalex.org/W4312324660","https://openalex.org/W4311441462","https://openalex.org/W7044512285","https://openalex.org/W2287386613"],"abstract_inverted_index":{"Merchants":[0],"sometimes":[1],"run":[2],"big":[3],"promotions":[4,45],"(e.g.,":[5,13],"discounts":[6],"or":[7,18],"cash":[8],"coupons)":[9],"on":[10,52,74,90,137],"particular":[11],"dates":[12],"Boxing-day":[14],"Sales,":[15],"\"Black":[16],"Friday\"":[17],"\"Double":[19,139],"11":[20],"(Nov":[21],"11th)\",":[22],"in":[23,98,157],"order":[24],"to":[25,63,145,165,215],"attract":[26],"a":[27,124],"large":[28],"number":[29],"of":[30,35,101,126,198,223],"new":[31,131,148,171],"buyers.":[32,71,112],"Unfortunately,":[33],"many":[34,206],"the":[36,83,88,99,114,135,138,158,167,177,196,212,251],"attracted":[37],"buyers":[38,132,149,172],"are":[39],"one-time":[40],"deal":[41],"hunters,":[42],"and":[43,86,128,210,227],"these":[44,75,170],"may":[46],"have":[47],"little":[48],"long":[49],"lasting":[50],"impact":[51],"sales.":[53],"To":[54],"alleviate":[55],"this":[56],"problem,":[57],"it":[58],"is":[59,94,106,144,191],"important":[60],"for":[61,110,150,193,201],"merchants":[62,79,127,152,179],"identify":[64],"who":[65],"can":[66,80,243],"be":[67],"converted":[68],"into":[69],"repeated":[70],"By":[72],"targeting":[73,105],"potential":[76],"loyal":[77,155],"customers,":[78],"greatly":[81],"reduce":[82],"promotion":[84,136],"cost":[85],"enhance":[87],"return":[89],"investment":[91],"(ROI).":[92],"It":[93],"well":[95],"known":[96],"that":[97,169,239],"field":[100],"online":[102],"advertising,":[103],"customer":[104],"extremely":[107],"challenging,":[108],"especially":[109],"fresh":[111],"With":[113],"long-term":[115],"user":[116],"behavior":[117],"log":[118],"accumulated":[119],"by":[120],"Tmall.com,":[121],"we":[122,163],"get":[123],"set":[125,186],"their":[129],"corresponding":[130],"acquired":[133],"during":[134],"11\"":[140],"day.":[141],"Our":[142],"goal":[143],"predict":[146,166],"which":[147],"given":[151,192],"will":[153],"become":[154],"customers":[156],"future.":[159],"In":[160],"other":[161,197],"words,":[162],"need":[164],"probability":[168],"would":[173],"purchase":[174],"items":[175],"from":[176],"same":[178],"again":[180],"within":[181],"6":[182],"months.":[183],"A":[184],"data":[185],"containing":[187],"around":[188],"200k":[189],"users":[190],"training,":[194],"while":[195],"similar":[199],"size":[200],"testing.":[202],"We":[203,219],"extracted":[204],"as":[205,208],"features":[207,214],"possible":[209],"find":[211],"key":[213],"train":[216],"our":[217,240],"models.":[218,253],"proposed":[220],"merged":[221,228,241],"model":[222,230],"different":[224,232],"classification":[225],"models":[226,242],"lightGBM":[229],"with":[231,250],"parameter":[233],"sets.":[234],"The":[235],"experimental":[236],"results":[237],"show":[238],"bring":[244],"about":[245],"great":[246],"performance":[247],"improvements":[248],"comparing":[249],"original":[252]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-01-23T00:00:00"}
