{"id":"https://openalex.org/W4283324687","doi":"https://doi.org/10.1145/3511808.3557137","title":"Adaptive Domain Interest Network for Multi-domain Recommendation","display_name":"Adaptive Domain Interest Network for Multi-domain Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4283324687","doi":"https://doi.org/10.1145/3511808.3557137"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557137","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557137","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"article","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/A5030711038","display_name":"Yuchen Jiang","orcid":"https://orcid.org/0000-0001-7632-1300"},"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":"Yuchen Jiang","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/A5100350165","display_name":"Qi Li","orcid":"https://orcid.org/0000-0001-8776-8730"},"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":"Qi Li","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/A5063667378","display_name":"Zhu Han","orcid":"https://orcid.org/0000-0002-6606-5822"},"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":"Han Zhu","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/A5088425313","display_name":"Jinbei Yu","orcid":null},"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":"Jinbei Yu","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/A5100364819","display_name":"Jin Li","orcid":"https://orcid.org/0000-0003-0385-8793"},"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":"Jin Li","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/A5106584122","display_name":"Ziru Xu","orcid":null},"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":"Ziru Xu","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/A5100848447","display_name":"Huihui Dong","orcid":null},"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":"Huihui Dong","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073856221","display_name":"Bo Zheng","orcid":"https://orcid.org/0000-0002-4037-6315"},"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":"Bo Zheng","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5030711038"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":4.815,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.96081796,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3212","last_page":"3221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9955000281333923,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.8396366834640503},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6293298006057739},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6132507920265198},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5843531489372253},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5644363760948181},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5257057547569275},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5118388533592224},{"id":"https://openalex.org/keywords/business-domain","display_name":"Business domain","score":0.49954938888549805},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47526687383651733},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44052284955978394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4131092429161072},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3846897780895233},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36917227506637573},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.15907737612724304},{"id":"https://openalex.org/keywords/business-rule","display_name":"Business rule","score":0.1579107940196991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8396366834640503},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6293298006057739},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6132507920265198},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5843531489372253},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5644363760948181},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5257057547569275},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5118388533592224},{"id":"https://openalex.org/C193669473","wikidata":"https://www.wikidata.org/wiki/Q5001867","display_name":"Business domain","level":5,"score":0.49954938888549805},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47526687383651733},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44052284955978394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4131092429161072},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3846897780895233},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36917227506637573},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.15907737612724304},{"id":"https://openalex.org/C11066294","wikidata":"https://www.wikidata.org/wiki/Q1518244","display_name":"Business rule","level":4,"score":0.1579107940196991},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557137","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557137","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W259338706","https://openalex.org/W2042281163","https://openalex.org/W2512971201","https://openalex.org/W2593768305","https://openalex.org/W2723293840","https://openalex.org/W2740605635","https://openalex.org/W2752782242","https://openalex.org/W2783666221","https://openalex.org/W2796608345","https://openalex.org/W2809290718","https://openalex.org/W2895281799","https://openalex.org/W2903852246","https://openalex.org/W2913340405","https://openalex.org/W2939059980","https://openalex.org/W2949813473","https://openalex.org/W2952841984","https://openalex.org/W2962823940","https://openalex.org/W2962989965","https://openalex.org/W2963877604","https://openalex.org/W2982902390","https://openalex.org/W2985406498","https://openalex.org/W2996891863","https://openalex.org/W3036320503","https://openalex.org/W3087931390","https://openalex.org/W3098400049","https://openalex.org/W3098468692","https://openalex.org/W3106181667","https://openalex.org/W3170587616","https://openalex.org/W3206992626","https://openalex.org/W3209925794","https://openalex.org/W3209943551","https://openalex.org/W3213148312","https://openalex.org/W4224903494","https://openalex.org/W4247780151","https://openalex.org/W4297794619","https://openalex.org/W4306317682"],"related_works":["https://openalex.org/W2968745142","https://openalex.org/W2809363009","https://openalex.org/W2348159088","https://openalex.org/W2045871438","https://openalex.org/W2499363748","https://openalex.org/W2350747448","https://openalex.org/W2368095327","https://openalex.org/W2122731942","https://openalex.org/W2743342830","https://openalex.org/W2136292188"],"abstract_inverted_index":{"Industrial":[0],"recommender":[1],"systems":[2],"usually":[3,36],"hold":[4],"data":[5,134],"from":[6,30],"multiple":[7,42],"business":[8,149],"scenarios":[9,19,158],"and":[10,89,96,125,169,177,189,223],"are":[11,60],"expected":[12],"to":[13,38,105,143,207],"provide":[14],"recommendation":[15],"services":[16],"for":[17,41,49,78,156,171,196],"these":[18],"simultaneously.":[20],"In":[21,111,181],"the":[22,25,54,83,123,138,145,167,185,191,217],"retrieval":[23],"step,":[24],"topK":[26,154],"high-quality":[27],"items":[28],"selected":[29],"a":[31,98],"large":[32],"number":[33],"of":[34,57,86,132,147,221],"corpus":[35],"need":[37],"be":[39],"various":[40,153],"scenarios.":[43,110],"Take":[44],"Alibaba":[45],"display":[46,218],"advertising":[47,219,228],"system":[48,220],"example,":[50],"not":[51],"only":[52],"because":[53],"behavior":[55],"patterns":[56],"Taobao":[58],"users":[59],"diverse,":[61],"but":[62],"also":[63,205],"differentiated":[64],"scenarios'":[65],"bid":[66],"prices":[67],"assigned":[68],"by":[69,151,174],"advertisers":[70],"vary":[71],"significantly.":[72],"Traditional":[73],"methods":[74],"either":[75],"train":[76],"models":[77,166],"each":[79,148],"scenario":[80],"separately,":[81],"ignoring":[82],"cross-domain":[84],"overlapping":[85],"user":[87],"groups":[88],"items,":[90],"or":[91],"simply":[92],"mix":[93],"all":[94],"samples":[95],"maintain":[97],"shared":[99,175],"model":[100],"which":[101],"makes":[102],"it":[103],"difficult":[104],"capture":[106,208],"significant":[107],"diversities":[108,126,170],"between":[109],"this":[112],"paper,":[113],"we":[114,183],"present":[115],"Adaptive":[116],"Domain":[117],"Interest":[118],"Network(ADIN)":[119],"that":[120],"adaptively":[121],"handles":[122],"commonalities":[124,168],"across":[127,211],"scenarios,":[128],"making":[129],"full":[130],"use":[131],"multi-scenarios":[133],"during":[135,159],"training.":[136],"Then":[137],"proposed":[139,164],"method":[140],"is":[141,204],"able":[142],"improve":[144],"performance":[146],"domain":[150,192,198],"giving":[152],"candidates":[155],"different":[157,172],"online":[160],"inference.":[161],"Specifically,":[162],"our":[163],"ADIN":[165],"domains":[173],"networks":[176],"domain-specific":[178,186],"networks,":[179],"respectively.":[180],"addition,":[182],"apply":[184],"batch":[187],"normalization":[188],"design":[190],"interest":[193],"adaptation":[194],"layer":[195],"feature-level":[197],"adaptation.":[199],"A":[200],"self":[201],"training":[202],"strategy":[203],"incorporated":[206],"label-level":[209],"connections":[210],"domains.ADIN":[212],"has":[213],"been":[214],"deployed":[215],"in":[216],"Alibaba,":[222],"obtains":[224],"1.8%":[225],"improvement":[226],"on":[227],"revenue.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}