{"id":"https://openalex.org/W7204145453","doi":"https://doi.org/10.1109/jcc72984.2026.00013","title":"Meta-Learning Based Interest Selection for Cross-Domain Recommendation","display_name":"Meta-Learning Based Interest Selection for Cross-Domain Recommendation","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7204145453","doi":"https://doi.org/10.1109/jcc72984.2026.00013"},"language":"en","primary_location":{"id":"doi:10.1109/jcc72984.2026.00013","doi":"https://doi.org/10.1109/jcc72984.2026.00013","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jcc72984.2026.00013","pdf_url":null,"source":{"id":"https://openalex.org/S7407086998","display_name":"IEEE International Conference on Joint Cloud Computing (JCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Joint Cloud Computing (JCC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/jcc72984.2026.00013","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5147951531","display_name":"Li Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147981721","display_name":"Yunfa Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yunfa Li","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University","University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139086152","display_name":"Chenggang Yan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggang Yan","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147974385","display_name":"Yuhan Gao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Gao","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019496369","display_name":"Xichun Sheng","orcid":"https://orcid.org/0009-0002-3590-0060","observed_orcids":["https://orcid.org/0009-0002-3590-0060"]},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Xichun Sheng","raw_affiliation_strings":["Macao Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macao Polytechnic University","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147982537","display_name":"Yiqi Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yiqi Li","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University","University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147962120","display_name":"Yizhi Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yizhi Wang","raw_affiliation_strings":["Shangshang Desheng Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shangshang Desheng Group Co., Ltd","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134563697","display_name":"Dongyun Yan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongyun Yan","raw_affiliation_strings":["Shangshang Desheng Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shangshang Desheng Group Co., Ltd","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.0,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0,"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/cross-domain-recommendation","display_name":"cross-domain recommendation","score":0.9890000224113464},{"id":"https://openalex.org/keywords/meta-learning","display_name":"meta-learning","score":0.9089999794960022},{"id":"https://openalex.org/keywords/data-sparsity","display_name":"data sparsity","score":0.7910000085830688},{"id":"https://openalex.org/keywords/meta-network","display_name":"meta-network","score":0.7139999866485596},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.48899999260902405},{"id":"https://openalex.org/keywords/user-representation-learning","display_name":"user representation learning","score":0.5929999947547913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5967000126838684},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.492000013589859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.429500013589859},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3239000141620636},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25769999623298645},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2434999942779541},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.23929999768733978},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.23819999396800995}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcc72984.2026.00013","doi":"https://doi.org/10.1109/jcc72984.2026.00013","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jcc72984.2026.00013","pdf_url":null,"source":{"id":"https://openalex.org/S7407086998","display_name":"IEEE International Conference on Joint Cloud Computing (JCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Joint Cloud Computing (JCC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/jcc72984.2026.00013","doi":"https://doi.org/10.1109/jcc72984.2026.00013","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jcc72984.2026.00013","pdf_url":null,"source":{"id":"https://openalex.org/S7407086998","display_name":"IEEE International Conference on Joint Cloud Computing (JCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Joint Cloud Computing (JCC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1502375784","https://openalex.org/W2090641502","https://openalex.org/W2117420919","https://openalex.org/W2218911903","https://openalex.org/W2626778328","https://openalex.org/W2740605635","https://openalex.org/W2782731323","https://openalex.org/W2796608345","https://openalex.org/W2904156528","https://openalex.org/W2906995678","https://openalex.org/W2962763064","https://openalex.org/W2969813708","https://openalex.org/W2987219395","https://openalex.org/W3026319246","https://openalex.org/W3155450594","https://openalex.org/W3190386329","https://openalex.org/W3209185641","https://openalex.org/W3210045106","https://openalex.org/W4226072877","https://openalex.org/W4293250296","https://openalex.org/W4319163914","https://openalex.org/W4382318872","https://openalex.org/W4391212526","https://openalex.org/W4405660857","https://openalex.org/W4413079838"],"related_works":["https://openalex.org/W7220709340","https://openalex.org/W4411576266","https://openalex.org/W7160419270","https://openalex.org/W7166889678","https://openalex.org/W2994226237","https://openalex.org/W7160614103","https://openalex.org/W7160901306","https://openalex.org/W7129103497","https://openalex.org/W4405660857","https://openalex.org/W2750660717"],"abstract_inverted_index":{"The":[0,93],"user":[1,131],"cold-start":[2],"problem":[3],"refers":[4],"to":[5,25,64,113,125],"the":[6,30,40,51,71,140,143,164],"performance":[7,170],"degradation":[8],"of":[9,42,74],"recommendation":[10,23,27],"systems":[11],"caused":[12],"by":[13],"data":[14],"sparsity.":[15],"By":[16],"transferring":[17],"information":[18,141],"across":[19,137],"related":[20,35],"domains,":[21],"cross-domain":[22,76,109,160],"aims":[24],"improve":[26],"effectiveness":[28],"in":[29,98],"target":[31,146],"domain.":[32],"However,":[33],"most":[34],"works":[36],"transfer":[37],"knowledge":[38],"from":[39,142],"perspective":[41],"global":[43],"shared":[44],"mappings":[45],"or":[46],"user-level":[47],"representation":[48],"transfer,":[49],"overlooking":[50],"differences":[52],"among":[53],"various":[54,173],"interest":[55,110,135],"dimensions":[56,136],"during":[57],"crossdomain":[58],"migration.":[59],"Furthermore,":[60],"existing":[61],"methods":[62],"tend":[63],"treat":[65],"all":[66],"interests":[67],"equally,":[68],"which":[69],"weakens":[70],"model's":[72],"utilization":[73],"critical":[75],"information.":[77],"To":[78],"address":[79],"these":[80],"issues,":[81],"we":[82],"propose":[83],"a":[84,102,108,151],"Meta-learning":[85],"based":[86],"Interest":[87],"Selection":[88],"for":[89],"Cross-Domain":[90],"Recommendation":[91],"(MISCDR).":[92],"model":[94],"generates":[95],"multi-interest":[96,103,127],"vectors":[97],"each":[99],"domain":[100,119],"through":[101,150],"extraction":[104],"module,":[105],"and":[106,145],"employs":[107],"selection":[111],"module":[112],"perform":[114],"relevance":[115],"weighting":[116],"on":[117,158],"source":[118,144],"interests.":[120],"Subsequently,":[121],"meta-networks":[122],"are":[123,148],"leveraged":[124],"construct":[126],"bridge":[128],"functions,":[129],"generating":[130],"representations":[132],"under":[133],"different":[134],"domains.":[138],"Finally,":[139],"domains":[147],"fused":[149],"dynamic":[152],"fusion":[153],"gating":[154],"network.":[155],"Experimental":[156],"results":[157],"multiple":[159],"tasks":[161],"demonstrate":[162],"that":[163],"proposed":[165],"MISCDR":[166],"method":[167],"achieves":[168],"significant":[169],"improvements":[171],"over":[172],"baseline":[174],"methods.":[175]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-25T00:00:00"}
