{"id":"https://openalex.org/W4385568136","doi":"https://doi.org/10.1145/3580305.3599769","title":"AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations","display_name":"AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385568136","doi":"https://doi.org/10.1145/3580305.3599769"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5024206787","display_name":"Danwei Li","orcid":"https://orcid.org/0009-0009-9492-7248"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Danwei Li","raw_affiliation_strings":["Meta AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008836087","display_name":"Zhengyu Zhang","orcid":"https://orcid.org/0009-0009-9287-9756"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengyu Zhang","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102752802","display_name":"Siyang Yuan","orcid":"https://orcid.org/0009-0008-4128-742X"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyang Yuan","raw_affiliation_strings":["Meta AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011007474","display_name":"Mingze Gao","orcid":"https://orcid.org/0000-0003-2064-3452"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingze Gao","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038251514","display_name":"Weilin Zhang","orcid":"https://orcid.org/0009-0009-9380-1010"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weilin Zhang","raw_affiliation_strings":["Meta AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057561404","display_name":"Chaofei Yang","orcid":"https://orcid.org/0000-0001-6983-1062"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaofei Yang","raw_affiliation_strings":["Meta AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731599","display_name":"Xi Liu","orcid":"https://orcid.org/0000-0003-2336-8417"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Liu","raw_affiliation_strings":["Meta AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033659558","display_name":"Jiyan Yang","orcid":"https://orcid.org/0009-0005-5946-5456"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiyan Yang","raw_affiliation_strings":["Meta AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5024206787"],"corresponding_institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"],"apc_list":null,"apc_paid":null,"fwci":3.1109,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93177356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4370","last_page":"4379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9925000071525574,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8170437812805176},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7373142242431641},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7157188057899475},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6206413507461548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.592967689037323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5743474364280701},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.5293442010879517},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.45948705077171326},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.29330840706825256},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0696612298488617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8170437812805176},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7373142242431641},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7157188057899475},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6206413507461548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.592967689037323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5743474364280701},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.5293442010879517},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.45948705077171326},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.29330840706825256},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0696612298488617},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1896424170","https://openalex.org/W2076618162","https://openalex.org/W2091432990","https://openalex.org/W2117130368","https://openalex.org/W2194775991","https://openalex.org/W2809290718","https://openalex.org/W2903852246","https://openalex.org/W2963430933","https://openalex.org/W2963498646","https://openalex.org/W2963821229","https://openalex.org/W2963877604","https://openalex.org/W2965658867","https://openalex.org/W2966182616","https://openalex.org/W2973172293","https://openalex.org/W2991309414","https://openalex.org/W3087931390","https://openalex.org/W3093298238","https://openalex.org/W3106539628","https://openalex.org/W4224312921","https://openalex.org/W4234552385","https://openalex.org/W4289488615","https://openalex.org/W6771876938"],"related_works":["https://openalex.org/W1564680838","https://openalex.org/W2060591604","https://openalex.org/W2951720331","https://openalex.org/W2003125260","https://openalex.org/W2166791242","https://openalex.org/W3012440055","https://openalex.org/W1934413089","https://openalex.org/W2585162246","https://openalex.org/W1992291644","https://openalex.org/W2098419343"],"abstract_inverted_index":{"Multi-task":[0],"learning":[1,12,41],"(MTL)":[2],"aims":[3],"to":[4,34,60,143],"enhance":[5],"the":[6,30,137],"performance":[7,141],"and":[8,38,43,73,86,100,114],"efficiency":[9],"of":[10],"machine":[11],"models":[13],"by":[14],"simultaneously":[15],"training":[16],"them":[17],"on":[18,110],"multiple":[19,79],"tasks.":[20],"However,":[21],"MTL":[22],"research":[23],"faces":[24],"two":[25],"challenges:":[26],"1)":[27],"effectively":[28],"modeling":[29],"relationships":[31],"between":[32],"tasks":[33],"enable":[35],"knowledge":[36,99],"sharing,":[37],"2)":[39],"jointly":[40],"task-specific":[42,72,101],"shared":[44,75,98],"knowledge.":[45,102],"In":[46],"this":[47],"paper,":[48],"we":[49,107],"present":[50],"a":[51,66,83,87,111],"novel":[52],"model":[53,138],"called":[54],"Adaptive":[55],"Task-to-Task":[56],"Fusion":[57],"Network":[58],"(AdaTT)":[59],"address":[61],"both":[62,97],"challenges.":[63],"AdaTT":[64,125],"is":[65],"deep":[67],"fusion":[68,76],"network":[69],"built":[70],"with":[71],"optional":[74],"units":[77,94],"at":[78],"levels.":[80],"By":[81],"leveraging":[82],"residual":[84],"mechanism":[85,89],"gating":[88],"for":[90],"task-to-task":[91],"fusion,":[92],"these":[93],"adaptively":[95],"learn":[96],"To":[103],"evaluate":[104],"AdaTT's":[105],"performance,":[106],"conduct":[108],"experiments":[109,134],"public":[112],"benchmark":[113],"an":[115],"industrial":[116],"recommendation":[117],"dataset":[118],"using":[119],"various":[120],"task":[121],"groups.":[122],"Results":[123],"demonstrate":[124],"significantly":[126],"outperforms":[127],"existing":[128],"state-of-the-art":[129],"baselines.":[130],"Furthermore,":[131],"our":[132],"end-to-end":[133],"reveal":[135],"that":[136],"exhibits":[139],"better":[140],"compared":[142],"alternatives.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
