{"id":"https://openalex.org/W4396844128","doi":"https://doi.org/10.1145/3589335.3648341","title":"Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation","display_name":"Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396844128","doi":"https://doi.org/10.1145/3589335.3648341"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3648341","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3648341","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3648341","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3648341","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101918568","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0001-5299-7074"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047412357","display_name":"Zida Cheng","orcid":"https://orcid.org/0009-0005-5267-8336"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zida Cheng","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102922412","display_name":"Jiangchao Yao","orcid":"https://orcid.org/0000-0001-6115-5194"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangchao Yao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774574","display_name":"Chen Ju","orcid":"https://orcid.org/0000-0001-8472-7677"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Ju","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101909917","display_name":"Weilin Huang","orcid":"https://orcid.org/0000-0002-1520-4140"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilin Huang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053940023","display_name":"Jinsong Lan","orcid":"https://orcid.org/0009-0000-6890-4960"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Lan","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082008486","display_name":"Xiaoyi Zeng","orcid":"https://orcid.org/0000-0002-3742-4910"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Zeng","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102722119","display_name":"Shuai Xiao","orcid":"https://orcid.org/0000-0001-8550-5064"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Xiao","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101918568"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":2.3618,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89538576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"423","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.998199999332428,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.998199999332428,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"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/T11478","display_name":"Caching and Content Delivery","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7294057011604309},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.6986016035079956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5712869167327881},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5549700856208801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37518587708473206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15577250719070435},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.114193856716156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294057011604309},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.6986016035079956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5712869167327881},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5549700856208801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37518587708473206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15577250719070435},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.114193856716156},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3648341","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3648341","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3648341","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3648341","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3648341","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3648341","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396844128.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1976517433","https://openalex.org/W2066334462","https://openalex.org/W2068238590","https://openalex.org/W2090883204","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2723293840","https://openalex.org/W2796608345","https://openalex.org/W2809290718","https://openalex.org/W2948903560","https://openalex.org/W2962745591","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963444790","https://openalex.org/W2964995401","https://openalex.org/W2996891863","https://openalex.org/W3086597576","https://openalex.org/W3087931390","https://openalex.org/W3094280243","https://openalex.org/W3098400049","https://openalex.org/W3105066045","https://openalex.org/W3106539628","https://openalex.org/W3196616669","https://openalex.org/W3206381175","https://openalex.org/W3209943551","https://openalex.org/W4213069590","https://openalex.org/W4224307215","https://openalex.org/W4292730582","https://openalex.org/W4306317417","https://openalex.org/W4385565193","https://openalex.org/W4385567574","https://openalex.org/W4385568359","https://openalex.org/W6771876938"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W3164948662","https://openalex.org/W3105157121","https://openalex.org/W3104067163","https://openalex.org/W4229440466","https://openalex.org/W3153597579","https://openalex.org/W4382049132","https://openalex.org/W3159661535"],"abstract_inverted_index":{"Cross-domain":[0],"CTR":[1,22,212,240,260],"(CDCTR)":[2],"prediction":[3,23],"is":[4,106,113],"an":[5,85,161,256],"important":[6],"research":[7],"topic":[8],"that":[9,42],"studies":[10],"how":[11],"to":[12,20,34,57,66,90,121,129,145,207],"leverage":[13],"meaningful":[14,179,231],"data":[15],"from":[16,174],"a":[17,81,123,138,156,190,262,268],"related":[18],"domain":[19,187,211],"help":[21],"in":[24,47,114,185,249],"target":[25,48,67,97,115,186,210],"domain.":[26,49,68,116],"Most":[27],"existing":[28],"CDCTR":[29],"works":[30],"design":[31],"implicit":[32],"ways":[33],"transfer":[35,63,131,149],"knowledge":[36,61,65,105,148,181,203],"across":[37],"domains":[38,176],"such":[39],"as":[40,204],"parameter-sharing":[41],"regularizes":[43],"the":[44,70,101,111,196,200,209,237],"model":[45],"training":[46],"More":[50],"effectively,":[51],"recent":[52],"researchers":[53],"propose":[54,137],"explicit":[55,147,201],"techniques":[56],"extract":[58],"user":[59,103],"interest":[60,104],"and":[62,99,126,160,177,221,234,267],"this":[64,134],"However,":[69],"proposed":[71],"method":[72],"mainly":[73],"faces":[74],"two":[75,151,175,218],"issues:":[76],"1)":[77],"it":[78],"usually":[79],"requires":[80],"super":[82],"domain,":[83,89,98],"i.e.":[84],"extremely":[86],"large":[87],"source":[88],"cover":[91],"most":[92],"users":[93],"or":[94],"items":[95],"of":[96,182,239],"2)":[100],"extracted":[102],"static":[107],"no":[108],"matter":[109],"what":[110],"context":[112],"These":[117],"limitations":[118],"motivate":[119],"us":[120],"develop":[122],"more":[124],"flexible":[125],"efficient":[127],"technique":[128],"explicitly":[130],"knowledge.":[132],"In":[133],"work,":[135],"we":[136,226],"cross-domain":[139,180,202],"augmentation":[140,162,197],"network":[141,159,163,170,198],"(CDAnet)":[142],"being":[143],"able":[144],"perform":[146],"between":[150],"domains.":[152],"Specifically,":[153],"CDAnet":[154,228,242],"contains":[155],"designed":[157,191],"translation":[158,169],"which":[164],"are":[165],"trained":[166],"sequentially.":[167],"The":[168],"computes":[171],"latent":[172],"features":[173,233],"learns":[178],"each":[183],"input":[184],"by":[188],"using":[189],"cross-supervised":[192],"feature":[193],"translator.":[194],"Later":[195],"employs":[199],"augmented":[205],"information":[206],"boost":[208],"prediction.":[213,241],"Through":[214],"extensive":[215],"experiments":[216],"on":[217],"public":[219],"benchmarks":[220],"one":[222],"industrial":[223],"production":[224],"dataset,":[225],"show":[227],"can":[229],"learn":[230],"translated":[232],"largely":[235],"improve":[236],"performance":[238],"has":[243],"been":[244],"conducted":[245],"online":[246],"A/B":[247],"test":[248],"image2product":[250],"retrieval":[251],"at":[252],"Taobao":[253],"app,":[254],"bringing":[255],"absolute":[257],"0.11":[258],"point":[259],"improvement,":[261],"relative":[263,269],"0.64%":[264],"deal":[265],"growth":[266],"1.26%":[270],"GMV":[271],"increase.":[272]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}