{"id":"https://openalex.org/W4409365292","doi":"https://doi.org/10.1609/aaai.v39i12.33333","title":"Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations","display_name":"Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409365292","doi":"https://doi.org/10.1609/aaai.v39i12.33333"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v39i12.33333","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i12.33333","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/33333/35488","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/33333/35488","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022466025","display_name":"Yuguang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I120125038","display_name":"Bond University","ror":"https://ror.org/006jxzx88","country_code":"AU","type":"education","lineage":["https://openalex.org/I120125038"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuguang Liu","raw_affiliation_strings":["Whisper Bond Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Whisper Bond Technologies Inc","institution_ids":["https://openalex.org/I120125038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117112002","display_name":"Yiyun Miao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiyun Miao","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445622","display_name":"Xia Li","orcid":"https://orcid.org/0000-0003-3050-8529"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Xia","raw_affiliation_strings":["Tongji University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2752,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78434066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"39","issue":"12","first_page":"12238","last_page":"12245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.6664000153541565,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.6664000153541565,"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/task","display_name":"Task (project management)","score":0.662418007850647},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5056188106536865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5019779205322266},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4191136360168457},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0919128954410553},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08611586689949036}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.662418007850647},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5056188106536865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5019779205322266},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4191136360168457},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0919128954410553},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08611586689949036},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v39i12.33333","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i12.33333","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/33333/35488","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2510.09643","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.09643","pdf_url":"https://arxiv.org/pdf/2510.09643","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"doi:10.1609/aaai.v39i12.33333","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i12.33333","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/33333/35488","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409365292.pdf","grobid_xml":"https://content.openalex.org/works/W4409365292.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166"],"abstract_inverted_index":{"Multi-task":[0],"learning":[1,160],"(MTL)":[2],"has":[3],"emerged":[4],"as":[5,17],"a":[6,69,121],"successful":[7],"strategy":[8],"in":[9,53,94,142,158,171,190],"industrial-scale":[10],"recommender":[11],"systems,":[12],"offering":[13],"significant":[14],"advantages":[15],"such":[16],"capturing":[18],"diverse":[19],"users\u2019":[20],"interests":[21],"and":[22,35,48,84,181,192,203],"accurately":[23],"detecting":[24],"different":[25],"behaviors":[26],"like":[27],"\u201cclick\"":[28],"or":[29],"\u201cdwell":[30],"time\".":[31],"However,":[32],"negative":[33],"transfer":[34],"the":[36,46,58,90,95,105,113,148,169,177,186,194],"seesaw":[37],"phenomenon":[38],"pose":[39],"challenges":[40],"to":[41,45,108],"MTL":[42,119,139],"models":[43],"due":[44],"complex":[47,118],"often":[49],"contradictory":[50],"task":[51,107,156],"correlations":[52],"real-world":[54,122],"recommendations.":[55],"To":[56],"address":[57],"problem":[59],"while":[60,166],"making":[61],"better":[62],"use":[63],"of":[64,78,115,144,188,201],"personalized":[65,70,85],"information,":[66],"we":[67],"propose":[68],"Direct":[71],"Routing":[72],"Gradient":[73],"framework":[74],"(DRGrad),":[75],"which":[76,98],"consists":[77],"three":[79],"key":[80],"components:":[81],"router,":[82],"updater":[83],"gate":[86],"network.":[87],"DRGrad":[88,116,189],"judges":[89],"stakes":[91,195],"between":[92,196],"tasks":[93,197],"training":[96],"process,":[97],"can":[99],"leverage":[100],"all":[101],"valid":[102],"gradients":[103],"for":[104],"respective":[106],"reduce":[109],"conflicts.":[110],"We":[111],"evaluate":[112],"efficiency":[114],"on":[117,176],"using":[120],"recommendation":[123],"dataset":[124,180],"with":[125,198],"15":[126],"billion":[127],"samples.":[128],"The":[129],"results":[130],"show":[131],"that":[132,152],"DRGrad\u2019s":[133],"superior":[134],"performance":[135],"over":[136],"competing":[137],"state-of-the-art":[138],"models,":[140],"especially":[141],"terms":[143],"AUC":[145],"(Area":[146],"Under":[147],"Curve)":[149],"metrics,":[150],"indicating":[151],"it":[153],"effectively":[154],"manages":[155],"conflicts":[157],"multi-task":[159],"environments":[161],"without":[162],"increasing":[163],"model":[164],"complexity,":[165],"also":[167],"addressing":[168],"deficiencies":[170],"noise":[172],"pro-cessing.":[173],"Moreover,":[174],"experiments":[175],"public":[178],"Census-income":[179],"Synthetic":[182],"dataset,":[183],"have":[184],"demonstrated":[185],"capability":[187],"judging":[191],"routing":[193],"varying":[199],"degrees":[200],"correlation":[202],"personalization.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
