{"id":"https://openalex.org/W4324105796","doi":"https://doi.org/10.1145/3543507.3583462","title":"Semi-supervised Adversarial Learning for Complementary Item Recommendation","display_name":"Semi-supervised Adversarial Learning for Complementary Item Recommendation","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4324105796","doi":"https://doi.org/10.1145/3543507.3583462"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583462","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.05812","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019615542","display_name":"Koby Bibas","orcid":"https://orcid.org/0000-0003-2812-1253"},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Koby Bibas","raw_affiliation_strings":["Meta, Israel"],"affiliations":[{"raw_affiliation_string":"Meta, Israel","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026428283","display_name":"Oren Sar Shalom","orcid":"https://orcid.org/0000-0002-5242-3932"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oren Sar Shalom","raw_affiliation_strings":["Amazon, Israel"],"affiliations":[{"raw_affiliation_string":"Amazon, Israel","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005545405","display_name":"Dietmar Jannach","orcid":"https://orcid.org/0000-0002-4698-8507"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Dietmar Jannach","raw_affiliation_strings":["University of Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"University of Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019615542"],"corresponding_institution_ids":["https://openalex.org/I2252078561"],"apc_list":null,"apc_paid":null,"fwci":0.7288,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71405985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1804","last_page":"1812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9987000226974487,"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/T10028","display_name":"Topic Modeling","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/leverage","display_name":"Leverage (statistics)","score":0.8248828053474426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7499185800552368},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.679717481136322},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47180643677711487},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.461424857378006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43740174174308777},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4168494939804077}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8248828053474426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499185800552368},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.679717481136322},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47180643677711487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.461424857378006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43740174174308777},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4168494939804077}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3543507.3583462","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.05812","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.05812","pdf_url":"https://arxiv.org/pdf/2303.05812","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.05812","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.05812","pdf_url":"https://arxiv.org/pdf/2303.05812","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4324105796.pdf","grobid_xml":"https://content.openalex.org/works/W4324105796.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1971040550","https://openalex.org/W1978271507","https://openalex.org/W1991418309","https://openalex.org/W2027731328","https://openalex.org/W2058436802","https://openalex.org/W2096733369","https://openalex.org/W2108630796","https://openalex.org/W2152569947","https://openalex.org/W2194775991","https://openalex.org/W2518038816","https://openalex.org/W2734820071","https://openalex.org/W2753857717","https://openalex.org/W2782696945","https://openalex.org/W2795199972","https://openalex.org/W2892485145","https://openalex.org/W2892766675","https://openalex.org/W2893241293","https://openalex.org/W2896537337","https://openalex.org/W2907708976","https://openalex.org/W2908054697","https://openalex.org/W2911867093","https://openalex.org/W2949653458","https://openalex.org/W2950000812","https://openalex.org/W2962793481","https://openalex.org/W2963249562","https://openalex.org/W2963857660","https://openalex.org/W2969316129","https://openalex.org/W2969886764","https://openalex.org/W2972722138","https://openalex.org/W2981612821","https://openalex.org/W2982439793","https://openalex.org/W2987684747","https://openalex.org/W2990816204","https://openalex.org/W3034891407","https://openalex.org/W3093133157","https://openalex.org/W3094242471","https://openalex.org/W3096831136","https://openalex.org/W3098649723","https://openalex.org/W3099206234","https://openalex.org/W3101063193","https://openalex.org/W3101157305","https://openalex.org/W3122725723","https://openalex.org/W3124497955","https://openalex.org/W3133578111","https://openalex.org/W3139228667","https://openalex.org/W3155196179","https://openalex.org/W3204210724","https://openalex.org/W4214912006","https://openalex.org/W4224273707","https://openalex.org/W4226199153","https://openalex.org/W4287329380","https://openalex.org/W4293261884","https://openalex.org/W4296591855","https://openalex.org/W4297140012","https://openalex.org/W4297971002","https://openalex.org/W4306317665","https://openalex.org/W4394649266","https://openalex.org/W6604268844","https://openalex.org/W6857404310"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W2129767422","https://openalex.org/W3210196349","https://openalex.org/W4214728004","https://openalex.org/W2950181282","https://openalex.org/W2798287483","https://openalex.org/W2913410650","https://openalex.org/W4398789279"],"abstract_inverted_index":{"Complementary":[0],"item":[1,48,54,75,80,124,132,169,181],"recommendations":[2,12,49,86],"are":[3,13,18,39,50],"a":[4,58,68,109,119,179],"ubiquitous":[5],"feature":[6],"of":[7,60,108,152],"modern":[8],"e-commerce":[9,187],"sites.":[10],"Such":[11],"highly":[14,194],"effective":[15,84],"when":[16],"they":[17],"based":[19,52],"on":[20,32,53,185],"collaborative":[21],"signals":[22],"like":[23],"co-purchase":[24,96],"statistics.":[25],"In":[26,44,63,155],"certain":[27],"online":[28,33],"marketplaces,":[29],"however,":[30],"e.g.,":[31],"auction":[34],"sites,":[35],"constantly":[36],"new":[37],"items":[38,92,103],"added":[40],"to":[41,57,82,106,129,138,166],"the":[42,113],"catalog.":[43],"such":[45],"cases,":[46],"complementary":[47,79,85,102,153],"often":[51],"side-information":[55,76],"due":[56],"lack":[59],"interaction":[61],"data.":[62],"this":[64],"work,":[65],"we":[66,116,127,157],"propose":[67],"novel":[69],"approach":[70],"that":[71,101,190],"can":[72],"leverage":[73,167],"both":[74],"and":[77,182],"labeled":[78,150,175],"pairs":[81,151],"generate":[83],"for":[87,91,93,122,178],"cold":[88],"items,":[89],"i.e.,":[90],"which":[94],"no":[95,174],"statistics":[97],"yet":[98],"exist.":[99],"Given":[100],"typically":[104],"have":[105],"be":[107],"different":[110],"category":[111,136],"than":[112],"seed":[114],"item,":[115],"technically":[117],"maintain":[118],"latent":[120],"space":[121],"each":[123],"category.":[125,183],"Simultaneously,":[126],"learn":[128],"project":[130],"distributed":[131],"representations":[133],"into":[134],"these":[135],"spaces":[137],"determine":[139],"suitable":[140],"recommendations.":[141],"The":[142],"main":[143],"learning":[144],"process":[145],"in":[146,172],"our":[147,191],"architecture":[148],"utilizes":[149],"items.":[154],"addition,":[156],"adopt":[158],"ideas":[159],"from":[160],"Cycle":[161],"Generative":[162],"Adversarial":[163],"Networks":[164],"(CycleGAN)":[165],"available":[168],"information":[170],"even":[171],"case":[173],"data":[176],"exists":[177],"given":[180],"Experiments":[184],"three":[186],"datasets":[188],"show":[189],"method":[192],"is":[193],"effective.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
