{"id":"https://openalex.org/W4392377928","doi":"https://doi.org/10.1145/3651169","title":"Personalised Multi-modal Interactive Recommendation with Hierarchical State Representations","display_name":"Personalised Multi-modal Interactive Recommendation with Hierarchical State Representations","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392377928","doi":"https://doi.org/10.1145/3651169"},"language":"en","primary_location":{"id":"doi:10.1145/3651169","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651169","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651169","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3651169","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102858602","display_name":"Yaxiong Wu","orcid":"https://orcid.org/0000-0002-1860-0122"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yaxiong Wu","raw_affiliation_strings":["University of Glasgow, Glasgow, UK"],"raw_orcid":"https://orcid.org/0000-0002-1860-0122","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057643560","display_name":"Craig Macdonald","orcid":"https://orcid.org/0000-0003-3143-279X"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Craig Macdonald","raw_affiliation_strings":["University of Glasgow, Glasgow, UK"],"raw_orcid":"https://orcid.org/0000-0003-3143-279X","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079046603","display_name":"Iadh Ounis","orcid":"https://orcid.org/0000-0003-4701-3223"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Iadh Ounis","raw_affiliation_strings":["University of Glasgow, Glasgow, UK"],"raw_orcid":"https://orcid.org/0000-0003-4701-3223","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":null,"apc_paid":null,"fwci":1.9512,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88847264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":"3","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9901999831199646,"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/modal","display_name":"Modal","score":0.6753020286560059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203321218490601},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5051108002662659},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4501672387123108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3241633176803589},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10024169087409973}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6753020286560059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203321218490601},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5051108002662659},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4501672387123108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3241633176803589},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10024169087409973},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3651169","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651169","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651169","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.gla.ac.uk:320766","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/55148.html>,","pdf_url":"https://eprints.gla.ac.uk/320766/3/320766.pdf","source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Articles"}],"best_oa_location":{"id":"doi:10.1145/3651169","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651169","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651169","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1989121949","display_name":null,"funder_award_id":"EP/R018634/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5187265158","display_name":"Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics","funder_award_id":"EP/R018634/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8352026019","display_name":null,"funder_award_id":"R018634/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392377928.pdf","grobid_xml":"https://content.openalex.org/works/W4392377928.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1924770834","https://openalex.org/W2109910161","https://openalex.org/W2119717200","https://openalex.org/W2140310134","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2295739661","https://openalex.org/W2625746539","https://openalex.org/W2626454364","https://openalex.org/W2790600496","https://openalex.org/W2902572901","https://openalex.org/W2963367478","https://openalex.org/W2963448089","https://openalex.org/W2964112275","https://openalex.org/W3098231197","https://openalex.org/W3101064725","https://openalex.org/W3102619277","https://openalex.org/W3116249021","https://openalex.org/W3123348991","https://openalex.org/W3164378906","https://openalex.org/W3168892396","https://openalex.org/W3172514680","https://openalex.org/W3185693672","https://openalex.org/W3185784178","https://openalex.org/W3197104471","https://openalex.org/W3200664681","https://openalex.org/W3201216488","https://openalex.org/W4212996499","https://openalex.org/W4214849153","https://openalex.org/W4220712776","https://openalex.org/W4298857966","https://openalex.org/W4298874030","https://openalex.org/W4299286960","https://openalex.org/W4320342563","https://openalex.org/W4402404329","https://openalex.org/W6637967152","https://openalex.org/W6692935382","https://openalex.org/W6849373658","https://openalex.org/W6944258451"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Multi-modal":[0],"interactive":[1,137,165],"recommender":[2],"systems":[3],"(MMIRS)":[4],"can":[5,44,261],"effectively":[6,147],"guide":[7],"users":[8],"towards":[9],"their":[10,54,58,154],"desired":[11],"items":[12,31],"through":[13],"multi-turn":[14,76],"interactions":[15,56,77],"by":[16,47,114,237],"leveraging":[17],"the":[18,23,41,49,62,80,84,89,94,149,163,186,191,210,214,220,227,239,244,266,299],"users\u2019":[19,42,50,85,95,150,187,240],"real-time":[20,63,157,215],"feedback":[21],"(in":[22],"form":[24],"of":[25,35,122,171,194],"natural-language":[26,263],"critiques)":[27],"on":[28,277],"previously":[29],"recommended":[30],"(such":[32],"as":[33,268],"images":[34],"fashion":[36,280],"products).":[37],"In":[38,127,159],"this":[39,128],"scenario,":[40],"preferences":[43,151],"be":[45],"expressed":[46],"both":[48,153],"past":[51,86,155,188],"interests":[52,87,189],"from":[53,61,152,282],"historical":[55],"and":[57,88,156,201,226,251,306],"current":[59,90,98,211],"needs":[60,91,212],"interactions.":[64,158],"However,":[65,103],"it":[66],"is":[67],"typically":[68],"challenging":[69],"to":[70,79,145,298],"make":[71],"satisfactory":[72],"personalised":[73,135,164,198],"recommendations":[74,200,267],"across":[75],"due":[78],"difficulty":[81],"in":[82,111,296],"balancing":[83],"for":[92,196,218,271],"generating":[93],"state":[96,176,207,228],"(i.e.,":[97],"preferences)":[99],"representations":[100],"over":[101],"time.":[102],"hierarchical":[104,142,175],"reinforcement":[105,143],"learning":[106,144],"has":[107],"been":[108],"successfully":[109],"applied":[110],"various":[112],"fields":[113],"decomposing":[115],"a":[116,120,133,169,178,182,202,206,234,257,269],"complex":[117],"task":[118],"into":[119,168],"hierarchy":[121],"more":[123,146],"easily":[124],"addressed":[125],"subtasks.":[126],"journal":[129],"article,":[130],"we":[131,249],"propose":[132],"novel":[134],"multi-modal":[136],"recommendation":[138,166],"model":[139,255,292],"(PMMIR)":[140],"using":[141,256],"incorporate":[148],"particular,":[160],"PMMIR":[161,254,291],"decomposes":[162],"process":[167],"sequence":[170],"two":[172,278,283],"subtasks":[173],"with":[174,190,213,233,243],"representations:":[177],"first":[179],"subtask":[180,204],"where":[181,205],"history":[183,195,224],"encoder":[184,225],"learns":[185],"hidden":[192],"states":[193,217],"providing":[197],"initial":[199],"second":[203],"tracker":[208,229],"estimates":[209],"estimated":[216],"updating":[219],"subsequent":[221],"recommendations.":[222,245],"The":[223,304],"are":[230,308],"jointly":[231],"optimised":[232],"single":[235],"objective":[236],"maximising":[238],"future":[241],"satisfaction":[242],"Following":[246],"previous":[247],"work,":[248],"train":[250],"evaluate":[252],"our":[253,289],"user":[258],"simulator":[259],"that":[260,288],"generate":[262],"critiques":[264],"about":[265],"surrogate":[270],"real":[272],"human":[273],"users.":[274],"Experiments":[275],"conducted":[276],"derived":[279],"datasets":[281,286,305],"well-known":[284],"public":[285],"demonstrate":[287],"proposed":[290],"yields":[293],"significant":[294],"improvements":[295],"comparison":[297],"existing":[300],"state-of-the-art":[301],"baseline":[302],"models.":[303],"code":[307],"publicly":[309],"available":[310],"at:":[311],"https://github.com/yashonwu/pmmir":[312]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
