{"id":"https://openalex.org/W4417470359","doi":"https://doi.org/10.1109/tmm.2025.3645634","title":"A Multi-Modal Prompt-Tuning Framework for Non-Overlapping Multi-Domain Recommendation","display_name":"A Multi-Modal Prompt-Tuning Framework for Non-Overlapping Multi-Domain Recommendation","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W4417470359","doi":"https://doi.org/10.1109/tmm.2025.3645634"},"language":null,"primary_location":{"id":"doi:10.1109/tmm.2025.3645634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3645634","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5027403172","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-2864-3019"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney NSW, Australia","School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2864-3019","affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082317196","display_name":"Shoujin Wang","orcid":"https://orcid.org/0000-0003-1133-9379"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shoujin Wang","raw_affiliation_strings":["Data Science Institute, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1133-9379","affiliations":[{"raw_affiliation_string":"Data Science Institute, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063629854","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-5641-2483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney NSW, Australia","School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5641-2483","affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413849","display_name":"Min Xu","orcid":"https://orcid.org/0000-0001-9581-8849"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney NSW, Australia","School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9581-8849","affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.48447768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"1921","last_page":"1930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9660999774932861,"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":0.9660999774932861,"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":0.00419999985024333,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.004100000020116568,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.593999981880188},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.550599992275238},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5296000242233276},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.48170000314712524},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.40450000762939453},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.38600000739097595},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.34380000829696655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8920999765396118},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.593999981880188},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.550599992275238},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.48170000314712524},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43050000071525574},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.40450000762939453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4016999900341034},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3711000084877014},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.3352999985218048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.310699999332428},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3001999855041504},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.2897999882698059},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.26899999380111694},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2669999897480011}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3645634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3645634","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6122078429","display_name":"Knowledge discovery and recommendation of multimedia data in healthcare","funder_award_id":"LP210100129","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1614862348","https://openalex.org/W2605350416","https://openalex.org/W2740605635","https://openalex.org/W2808716093","https://openalex.org/W2809290718","https://openalex.org/W2963341956","https://openalex.org/W2987679642","https://openalex.org/W3028156525","https://openalex.org/W3035598449","https://openalex.org/W3037852416","https://openalex.org/W3080236009","https://openalex.org/W3087931390","https://openalex.org/W3105816068","https://openalex.org/W3139958517","https://openalex.org/W3209185641","https://openalex.org/W3209943551","https://openalex.org/W4205525446","https://openalex.org/W4306316988","https://openalex.org/W4311185032","https://openalex.org/W4312583258","https://openalex.org/W4313156423","https://openalex.org/W4360612299","https://openalex.org/W4386190240","https://openalex.org/W4386392742","https://openalex.org/W4387757693","https://openalex.org/W4387969535","https://openalex.org/W4388601341","https://openalex.org/W4391103882","https://openalex.org/W4391128584","https://openalex.org/W4391335174","https://openalex.org/W4392693774","https://openalex.org/W4393148126","https://openalex.org/W4396242078","https://openalex.org/W4396734745","https://openalex.org/W4400532355","https://openalex.org/W4402637722","https://openalex.org/W4403221054","https://openalex.org/W4405185058","https://openalex.org/W4413074650"],"related_works":[],"abstract_inverted_index":{"Cross-domain":[0],"recommendation":[1,6,105],"(CDR)":[2],"aims":[3],"to":[4,30,125,155,182,211],"enhance":[5],"accuracy":[7],"in":[8,52,107,151],"data-sparse":[9],"domains":[10,124],"by":[11],"transferring":[12],"knowledge":[13,22,100],"from":[14,122],"data-rich":[15],"domains.":[16],"Most":[17],"existing":[18],"CDR":[19],"methods":[20],"conduct":[21,143],"transfer":[23],"based":[24],"on":[25,120,198],"overlapping":[26],"users":[27,39,46],"or":[28,60],"items":[29,190],"address":[31],"the":[32,63,117,135,152,168,180,184,193,205],"user":[33],"cold-start":[34],"problems,":[35],"including":[36],"few-shot":[37,109],"(i.e.,":[38,45],"with":[40,47,145],"sparse":[41,59],"interactions)":[42,49],"and":[43,110,148,162,189,200],"zero-shot":[44,111],"no":[48],"scenarios.":[50,112],"However,":[51],"real-world":[53],"scenarios,":[54],"such":[55],"overlap":[56],"is":[57],"often":[58],"non-existent,":[61],"limiting":[62],"effectiveness":[64],"of":[65,208],"these":[66],"approaches.":[67],"To":[68],"overcome":[69],"this":[70,165],"challenge,":[71],"we":[72,114],"propose":[73],"a":[74],"novel":[75],"<bold":[76,79,82,86,89,94],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[77,80,83,87,90,92,95,220],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M</b>ulti-modal":[78],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">P</b>rompt-tuning":[81],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">F</b>ramework":[84],"for":[85],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N</b>on-overlapping":[88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M</b>ulti-<bold":[91],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">D</b>omain":[93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">R</b>ecommendation":[96],"(MPF-NMDR).":[97],"MPF-NMDR":[98,118,209],"transfers":[99],"across":[101],"non-overlapping":[102],"domains,":[103,160,187],"enhancing":[104],"performance":[106,207],"both":[108],"Specifically,":[113],"first":[115],"pre-train":[116],"framework":[119],"data":[121],"all":[123,174],"capture":[126,156,183],"users'":[127],"generalized":[128,136],"cross-domain":[129,194],"preferences,":[130],"which":[131],"are":[132,171],"learned":[133],"through":[134],"multi-modal":[137],"interest":[138],"mining":[139],"module.":[140],"We":[141,214],"then":[142],"prompt-tuning":[144],"domain,":[146],"user,":[147],"item":[149],"prompts":[150],"target":[153],"domain":[154],"distinctions":[157,185],"among":[158,186],"various":[159],"users,":[161,188],"items.":[163],"In":[164],"process,":[166],"only":[167],"prompt":[169],"parameters":[170,176],"fine-tuned,":[172],"while":[173,191],"other":[175],"remain":[177],"frozen,":[178],"enabling":[179],"model":[181],"preserving":[192],"knowledge.":[195],"Extensive":[196],"experiments":[197],"Amazon":[199],"Douban":[201],"review":[202],"datasets":[203],"validate":[204],"superior":[206],"compared":[210],"SOTA":[212],"baselines.":[213],"release":[215],"our":[216],"code":[217],"at":[218],"<uri":[219],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Lili1013/MPF_NMDR</uri>.":[221]},"counts_by_year":[],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-12-18T00:00:00"}
