{"id":"https://openalex.org/W7155881179","doi":"https://doi.org/10.1145/3774904.3792443","title":"Meta-Learning Driven Few-Shot Knowledge Transfer with Dual-Stage Adaptive Data Replay for Cross-Domain Recommendation","display_name":"Meta-Learning Driven Few-Shot Knowledge Transfer with Dual-Stage Adaptive Data Replay for Cross-Domain Recommendation","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7155881179","doi":"https://doi.org/10.1145/3774904.3792443"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792443","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792443","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792443","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048140582","display_name":"Yilei Qiu","orcid":"https://orcid.org/0000-0003-0494-3092"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yilei Qiu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0494-3092","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694414","display_name":"Fei Xiong","orcid":"https://orcid.org/0000-0002-1610-335X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xiong","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1610-335X","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405540","display_name":"Jun Hu","orcid":"https://orcid.org/0009-0005-1530-7499"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Hu","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-1530-7499","affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008056593","display_name":"Shirui Pan","orcid":"https://orcid.org/0000-0003-0794-527X"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shirui Pan","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0794-527X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Brisbane, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456543","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0002-5897-4401"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-5897-4401","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048140582"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95830993,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1104","last_page":"1114"},"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":0.7868000268936157,"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":0.7868000268936157,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.08429999649524689,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.042399998754262924,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7397000193595886},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7307000160217285},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.6923999786376953},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.482699990272522},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4334000051021576},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.35409998893737793},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.3452000021934509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8066999912261963},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7397000193595886},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7307000160217285},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.6923999786376953},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4334000051021576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39570000767707825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3846000134944916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36160001158714294},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C8854915","wikidata":"https://www.wikidata.org/wiki/Q4350200","display_name":"Information transfer","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792443","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792443","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792443","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792443","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2117420919","https://openalex.org/W2129679514","https://openalex.org/W2137678375","https://openalex.org/W2548037050","https://openalex.org/W2560647685","https://openalex.org/W2619206542","https://openalex.org/W2740605635","https://openalex.org/W2782861800","https://openalex.org/W2796608345","https://openalex.org/W2798868970","https://openalex.org/W2964995401","https://openalex.org/W2969314833","https://openalex.org/W2986176093","https://openalex.org/W2987219395","https://openalex.org/W2987679642","https://openalex.org/W2996880115","https://openalex.org/W3035370595","https://openalex.org/W3042307379","https://openalex.org/W3094484861","https://openalex.org/W3188301284","https://openalex.org/W3190386329","https://openalex.org/W3212464519","https://openalex.org/W4284679479","https://openalex.org/W4306317202","https://openalex.org/W4321480025","https://openalex.org/W4322754470","https://openalex.org/W4367047465","https://openalex.org/W4377990718","https://openalex.org/W4382239956","https://openalex.org/W4382318872","https://openalex.org/W4387757693","https://openalex.org/W4393148126","https://openalex.org/W4393153319","https://openalex.org/W4396242078","https://openalex.org/W4402727932","https://openalex.org/W4403219719","https://openalex.org/W4406387707","https://openalex.org/W4409365805","https://openalex.org/W4411043476"],"related_works":[],"abstract_inverted_index":{"Cross-domain":[0],"recommendation":[1,93,111],"(CDR)":[2],"has":[3],"emerged":[4],"as":[5,131],"a":[6,21,95,116,159],"promising":[7],"solution":[8],"by":[9,14],"effectively":[10],"alleviating":[11],"data":[12,107,162],"sparsity":[13],"leveraging":[15],"information":[16],"from":[17],"auxiliary":[18],"domains.":[19],"However,":[20],"major":[22],"challenge":[23],"in":[24,83,138],"CDR":[25],"is":[26,113,124,165],"its":[27],"dependence":[28],"on":[29,63,180],"predefined":[30],"alignment":[31,76,141],"rules":[32,142],"(e.g.,":[33],"structural":[34],"or":[35],"distribution":[36],"matching)":[37],"to":[38,80,133,174],"achieve":[39],"cross-domain":[40,55,110,155,170],"knowledge":[41,102,121,148],"transfer,":[42],"which":[43,167],"impose":[44],"fixed":[45],"transfer":[46,67,82,103,122,149],"patterns":[47],"and":[48,91,150,172,189],"lack":[49],"the":[50,84,135,186,192],"flexibly":[51],"need":[52],"for":[53,109],"diverse":[54],"scenarios.":[56,156],"Furthermore,":[57],"most":[58],"existing":[59],"approaches":[60],"still":[61],"rely":[62],"coarse-grained":[64],"representations.":[65],"Knowledge":[66],"built":[68],"upon":[69],"imprecise":[70],"representations":[71],"can,":[72],"even":[73],"with":[74,104],"improved":[75],"rules,":[77],"instead":[78],"lead":[79],"negative":[81,176],"target":[85],"domain.":[86],"To":[87],"address":[88],"these":[89],"challenges":[90],"optimize":[92],"efficacy,":[94],"new":[96,117],"framework":[97],"named":[98],"meta-learning":[99,118],"driven":[100,119],"few-shot":[101,120,147],"dual-stage":[105,160],"adaptive":[106,161],"replay":[108,163],"(MFACDR)":[112],"proposed.":[114,125],"Specifically,":[115],"method":[123,127],"This":[126],"leverages":[128],"overlapping":[129],"parts":[130,137],"anchors":[132],"guide":[134],"non-overlapping":[136],"autonomously":[139],"exploring":[140],"through":[143],"meta-learning,":[144],"thus":[145],"enabling":[146],"flexible":[151],"handling":[152],"of":[153,191],"different":[154],"In":[157],"addition,":[158],"mechanism":[164],"proposed,":[166],"enables":[168],"fine-grained":[169],"adaptability":[171],"helps":[173],"mitigate":[175],"transfer.":[177],"Extensive":[178],"experiments":[179],"three":[181],"real-world":[182],"datasets":[183],"consistently":[184],"demonstrate":[185],"superior":[187],"effectiveness":[188],"robustness":[190],"proposed":[193],"MFACDR.":[194]},"counts_by_year":[],"updated_date":"2026-04-28T06:12:00.211691","created_date":"2026-04-28T00:00:00"}