{"id":"https://openalex.org/W2767291388","doi":"https://doi.org/10.1145/3124749.3124758","title":"An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy","display_name":"An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy","publication_year":2017,"publication_date":"2017-08-14","ids":{"openalex":"https://openalex.org/W2767291388","doi":"https://doi.org/10.1145/3124749.3124758","mag":"2767291388"},"language":"en","primary_location":{"id":"doi:10.1145/3124749.3124758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3124749.3124758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ADKDD'17","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1711.01377","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kamelia Aryafar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112773","display_name":"Etsy (United States)","ror":"https://ror.org/01kzp9g64","country_code":"US","type":"company","lineage":["https://openalex.org/I4210112773"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamelia Aryafar","raw_affiliation_strings":["Etsy, Brooklyn, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Etsy, Brooklyn, NY","institution_ids":["https://openalex.org/I4210112773"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Devin Guillory","orcid":null},"institutions":[{"id":"https://openalex.org/I21160419","display_name":"Ansys (United States)","ror":"https://ror.org/05cf5b117","country_code":"US","type":"company","lineage":["https://openalex.org/I21160419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Devin Guillory","raw_affiliation_strings":["Etsy, San Francisco, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Etsy, San Francisco, CA","institution_ids":["https://openalex.org/I21160419"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liangjie Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112773","display_name":"Etsy (United States)","ror":"https://ror.org/01kzp9g64","country_code":"US","type":"company","lineage":["https://openalex.org/I4210112773"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangjie Hong","raw_affiliation_strings":["Etsy, Brooklyn, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Etsy, Brooklyn, NY","institution_ids":["https://openalex.org/I4210112773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4714,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94013683,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9951000213623047,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6096000075340271},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5759999752044678},{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.49900001287460327},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.4223000109195709},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.39959999918937683},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3727000057697296},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.36489999294281006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6938999891281128},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6096000075340271},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5759999752044678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5065000057220459},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.49900001287460327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45329999923706055},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.4223000109195709},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.36489999294281006},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C2780102126","wikidata":"https://www.wikidata.org/wiki/Q10928179","display_name":"Online and offline","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27950000762939453},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.25029999017715454},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3124749.3124758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3124749.3124758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ADKDD'17","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1711.01377","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.01377","pdf_url":"https://arxiv.org/pdf/1711.01377","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.01377","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.01377","pdf_url":"https://arxiv.org/pdf/1711.01377","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1976517433","https://openalex.org/W1985759455","https://openalex.org/W2010953147","https://openalex.org/W2070996757","https://openalex.org/W2074694452","https://openalex.org/W2076618162","https://openalex.org/W2093217068","https://openalex.org/W2108598243","https://openalex.org/W2120166550","https://openalex.org/W2161381512","https://openalex.org/W2194775991","https://openalex.org/W2279302940"],"related_works":[],"abstract_inverted_index":{"Etsy1":[0],"is":[1,39,50,94,166],"a":[2,66,77,142],"global":[3],"marketplace":[4],"where":[5,48],"people":[6],"across":[7],"the":[8,59,136,150,153,168],"world":[9,145],"connect":[10],"to":[11,30,55,65,129,138,172],"make,":[12],"buy":[13],"and":[14,87,117,125,155,161],"sell":[15],"unique":[16],"goods.":[17],"Sellers":[18],"at":[19],"Etsy":[20],"can":[21],"promote":[22],"their":[23],"product":[24,176],"listings":[25,64,103],"via":[26],"advertising":[27,46],"campaigns":[28],"similar":[29],"traditional":[31],"sponsored":[32],"search":[33,45],"ads.":[34],"Click-Through":[35],"Rate":[36],"(CTR)":[37],"prediction":[38,85],"an":[40,53,89],"integral":[41],"part":[42],"of":[43,62,80,152,175],"online":[44,162],"systems":[47],"it":[49],"utilized":[51],"as":[52,104,106],"input":[54],"auctions":[56],"which":[57,93],"determine":[58],"final":[60],"ranking":[61],"promoted":[63,82],"particular":[67],"user":[68],"for":[69,101,109],"each":[70],"query.":[71],"In":[72],"this":[73,173],"paper,":[74],"we":[75],"provide":[76],"holistic":[78],"view":[79],"Etsy's":[81],"listings'":[83],"CTR":[84],"system":[86,137],"propose":[88],"ensemble":[90],"learning":[91,123,128],"approach":[92],"based":[95],"on":[96,141],"historical":[97],"or":[98],"behavioral":[99],"signals":[100],"older":[102],"well":[105],"content-based":[107],"features":[108],"new":[110],"listings.":[111],"We":[112,134],"obtain":[113],"representations":[114],"from":[115,147],"texts":[116],"images":[118],"by":[119],"utilizing":[120],"state-of-the-art":[121],"deep":[122],"techniques":[124],"employ":[126],"multimodal":[127],"combine":[130],"these":[131],"different":[132],"signals.":[133],"compare":[135],"non-trivial":[139],"baselines":[140],"large-scale":[143],"real":[144],"dataset":[146],"Etsy,":[148],"demonstrating":[149],"effectiveness":[151],"model":[154],"strong":[156],"correlations":[157],"between":[158],"offline":[159],"experiments":[160],"performance.":[163],"The":[164],"paper":[165],"also":[167],"first":[169],"technical":[170],"overview":[171],"kind":[174],"in":[177],"e-commerce":[178],"context.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2017-11-17T00:00:00"}