{"id":"https://openalex.org/W7138037560","doi":"https://doi.org/10.1609/aaai.v40i33.40055","title":"Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation","display_name":"Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138037560","doi":"https://doi.org/10.1609/aaai.v40i33.40055"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i33.40055","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i33.40055","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40055/44016","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40055/44016","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129745111","display_name":"Leqi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leqi Zhang","raw_affiliation_strings":["Xi'an Jiaotong-Liverpool University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong-Liverpool University","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129665656","display_name":"Wayne Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wayne Lu","raw_affiliation_strings":["Xi'an Jiaotong-Liverpool University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong-Liverpool University","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129729772","display_name":"Haiyang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Zhang","raw_affiliation_strings":["Xi'an Jiaotong-Liverpool University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong-Liverpool University","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087703163","display_name":"Elliott Wen","orcid":"https://orcid.org/0000-0002-0340-9392"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Elliott Wen","raw_affiliation_strings":["University of Auckland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102953752","display_name":"Zhixuan Liang","orcid":"https://orcid.org/0000-0002-4851-1278"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhixuan Liang","raw_affiliation_strings":["The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129687034","display_name":"Jia Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Wang","raw_affiliation_strings":["Xi'an Jiaotong-Liverpool University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong-Liverpool University","institution_ids":["https://openalex.org/I69356397"]}]}],"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":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22822162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"33","first_page":"28274","last_page":"28282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.7235999703407288,"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":0.7235999703407288,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.04309999942779541,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.02250000089406967,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.6791999936103821},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6161999702453613},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5388000011444092},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5311999917030334},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.45820000767707825},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.314300000667572}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6791999936103821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456999778747559},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6161999702453613},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5388000011444092},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5311999917030334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4611999988555908},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.45820000767707825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4075999855995178},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C3019953569","wikidata":"https://www.wikidata.org/wiki/Q5310141","display_name":"Dual purpose","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2752000093460083},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.2678000032901764}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i33.40055","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i33.40055","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40055/44016","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:ojs.aaai.org:article/40055","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/40055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i33.40055","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i33.40055","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40055/44016","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":[{"id":"https://openalex.org/G3022099272","display_name":null,"funder_award_id":"72401232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324032","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138037560.pdf","grobid_xml":"https://content.openalex.org/works/W7138037560.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cross-market":[0],"recommendation":[1],"(CMR)":[2],"faces":[3],"severe":[4],"challenges":[5],"from":[6,31,49],"distribution":[7],"shifts":[8],"between":[9,39],"data-rich":[10],"source":[11,50],"markets":[12],"and":[13,23,41,83,100,156],"sparse":[14,119],"target":[15,135,177],"markets.":[16],"Existing":[17],"methods":[18],"rely":[19],"on":[20,118,133,164],"a":[21,68,79,92,102,110,123,127,146],"pre-training":[22,40,82],"fine-tuning":[24,43,59],"paradigm":[25],"for":[26],"knowledge":[27,48],"transfer,":[28],"yet":[29],"suffer":[30],"two":[32],"key":[33],"limitations:":[34],"i)":[35],"the":[36,53,76,134],"objective":[37],"gap":[38],"full-parameter":[42],"causes":[44],"loss":[45],"of":[46,57,87,105],"generalized":[47],"markets;":[51],"ii)":[52],"high":[54],"computational":[55],"costs":[56],"extensive":[58],"hinder":[60],"scalability.":[61],"To":[62,113],"this":[63],"end,":[64],"we":[65,90,121],"propose":[66],"DCMPT,":[67],"novel":[69,124],"Distilled":[70],"Cross-Market":[71],"Prompt-Tuning":[72],"approach.":[73],"DCMPT":[74,170],"reframes":[75],"problem":[77],"under":[78],"more":[80],"efficient":[81],"prompt-tuning":[84],"paradigm.":[85],"Instead":[86],"full":[88],"fine-tuning,":[89],"adapt":[91,157],"pre-trained":[93],"universal":[94],"backbone":[95],"by":[96],"freezing":[97],"its":[98],"weights":[99],"injecting":[101],"minimal":[103],"set":[104],"learnable":[106],"prompts":[107,117],"to":[108,151,158],"form":[109],"\"student\"":[111],"model.":[112],"effectively":[114],"optimize":[115],"these":[116],"data,":[120],"introduce":[122],"teacher-student":[125],"architecture:":[126],"specialized":[128],"\"teacher\"":[129],"model,":[130],"trained":[131],"exclusively":[132],"market,":[136],"provides":[137],"dense,":[138],"market-specific":[139],"supervision.":[140],"This":[141],"guidance":[142],"is":[143],"delivered":[144],"via":[145],"dual":[147],"distillation":[148],"strategy":[149],"designed":[150],"transfer":[152],"global":[153],"ranking":[154],"patterns":[155],"local":[159],"consumer":[160],"tastes.":[161],"Extensive":[162],"experiments":[163],"real-world":[165],"market":[166,178],"datasets":[167],"demonstrate":[168],"that":[169],"significantly":[171],"outperforms":[172],"state-of-the-art":[173],"methods,":[174],"achieving":[175],"superior":[176],"performance":[179],"with":[180],"substantial":[181],"parameter-efficiency.":[182]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}
