{"id":"https://openalex.org/W2982120135","doi":"https://doi.org/10.1145/3343031.3350935","title":"Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning","display_name":"Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2982120135","doi":"https://doi.org/10.1145/3343031.3350935","mag":"2982120135"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350935","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-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/A5100767815","display_name":"Tong Yu","orcid":"https://orcid.org/0000-0001-7998-3326"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tong Yu","raw_affiliation_strings":["Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058974318","display_name":"Yilin Shen","orcid":"https://orcid.org/0000-0002-1955-1529"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilin Shen","raw_affiliation_strings":["Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101424484","display_name":"Ruiyi Zhang","orcid":"https://orcid.org/0000-0002-4776-6762"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruiyi Zhang","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101695667","display_name":"Xiangyu Zeng","orcid":"https://orcid.org/0000-0002-3640-0052"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangyu Zeng","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044205212","display_name":"Hongxia Jin","orcid":"https://orcid.org/0009-0000-0222-4217"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongxia Jin","raw_affiliation_strings":["Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100767815"],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":2.1257,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.90316913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9908999800682068,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9900000095367432,"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/computer-science","display_name":"Computer science","score":0.8653080463409424},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.6115946769714355},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6042659878730774},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.588863730430603},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.567061185836792},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5623593330383301},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5395132899284363},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5367321968078613},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5216853618621826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49365052580833435},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.44062134623527527},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.427667498588562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40337085723876953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8653080463409424},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.6115946769714355},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6042659878730774},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.588863730430603},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.567061185836792},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5623593330383301},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5395132899284363},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5367321968078613},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5216853618621826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49365052580833435},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.44062134623527527},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.427667498588562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40337085723876953},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3350935","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W141351717","https://openalex.org/W254514693","https://openalex.org/W1528364680","https://openalex.org/W1581862991","https://openalex.org/W1618132901","https://openalex.org/W1832693441","https://openalex.org/W1895577753","https://openalex.org/W1933349210","https://openalex.org/W2024550919","https://openalex.org/W2065873248","https://openalex.org/W2078453491","https://openalex.org/W2082453965","https://openalex.org/W2093848332","https://openalex.org/W2101498401","https://openalex.org/W2102605133","https://openalex.org/W2112420033","https://openalex.org/W2155027007","https://openalex.org/W2155855695","https://openalex.org/W2157331557","https://openalex.org/W2167851108","https://openalex.org/W2194775991","https://openalex.org/W2294130536","https://openalex.org/W2341528187","https://openalex.org/W2349436533","https://openalex.org/W2474597705","https://openalex.org/W2492794003","https://openalex.org/W2548780814","https://openalex.org/W2558809543","https://openalex.org/W2590822507","https://openalex.org/W2598020112","https://openalex.org/W2602990925","https://openalex.org/W2603266952","https://openalex.org/W2604272474","https://openalex.org/W2750998636","https://openalex.org/W2766397879","https://openalex.org/W2963084599","https://openalex.org/W2963268748","https://openalex.org/W2963449390","https://openalex.org/W2963735856","https://openalex.org/W2963877604","https://openalex.org/W2963890755","https://openalex.org/W2964112275","https://openalex.org/W2990138404","https://openalex.org/W3101998545","https://openalex.org/W3157598734","https://openalex.org/W4245551996","https://openalex.org/W6631190155","https://openalex.org/W6639595677","https://openalex.org/W6676077707","https://openalex.org/W6745764446","https://openalex.org/W6751039726","https://openalex.org/W6754706484"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Interactive":[0],"recommenders":[1,8],"have":[2,137],"demonstrated":[3],"the":[4,15,20,100,105,163,175,180,200,220,224,230,243],"advantage":[5],"over":[6],"traditional":[7,16],"with":[9],"dynamic":[10,92,184],"change":[11],"of":[12,22,51,165,226,238],"items.":[13,94,170,245],"However,":[14,70],"user":[17,28,42,60,68,86,239],"feedback":[18,132],"in":[19,62],"format":[21],"clicks":[23],"or":[24],"ratings,":[25],"provides":[26],"limited":[27,32],"preference":[29,87,107,177],"information":[30],"and":[31,59,89,140,147,178,213,234],"history":[33,193,214],"tracking":[34],"capabilities.":[35],"As":[36],"a":[37,41,47,119,153,191],"result,":[38],"it":[39],"takes":[40],"many":[43],"interactions":[44,240],"to":[45,76,91,128,136,168,172,197,241],"find":[46,242],"desired":[48,244],"item.":[49],"Data":[50],"other":[52],"modalities,":[53],"such":[54],"as":[55],"item":[56],"visual":[57,134,155,169,211],"appearance":[58],"comments":[61],"natural":[63,111,130,139,166],"language,":[64],"may":[65],"enable":[66],"richer":[67],"feedback.":[69,113],"there":[71],"are":[72],"several":[73],"critical":[74],"challenges":[75],"be":[77],"addressed":[78],"when":[79],"utilizing":[80],"these":[81,98],"multimodal":[82,84,149,194,215],"data:":[83],"matching,":[85,150],"tracking,":[88],"adaptation":[90],"unseen":[93,185],"Without":[95],"properly":[96],"handling":[97],"challenges,":[99],"recommendations":[101,227],"can":[102,217],"easily":[103],"violate":[104,229],"users'":[106,176],"from":[108],"their":[109],"past":[110],"language":[112,131,167],"In":[114],"this":[115],"paper,":[116],"we":[117,151,189],"introduce":[118],"novel":[120,154,192],"approach,":[121],"called":[122],"vision-language":[123],"recommendation,":[124],"that":[125,161,228],"enables":[126],"users":[127],"provide":[129],"on":[133,183],"products":[135],"more":[138,145],"effective":[141],"interactions.":[142],"To":[143],"model":[144,201],"explicit":[146],"accurate":[148],"propose":[152,190],"attribute":[156,212],"augmented":[157,209],"reinforcement":[158],"learning":[159],"approach":[160],"enhances":[162],"grounding":[164],"Furthermore,":[171],"effectively":[173],"track":[174],"overcome":[179],"performance":[181],"deficiency":[182],"items":[186],"after":[187],"deployment,":[188],"matching":[195,216],"reward":[196],"continuously":[198],"adapt":[199],"on-the-fly.":[202],"Empirical":[203],"results":[204],"show":[205],"that,":[206],"our":[207],"system":[208],"by":[210],"significantly":[218],"increase":[219],"success":[221],"rate,":[222],"reduce":[223],"number":[225,237],"user's":[231],"previous":[232],"feedback,":[233],"need":[235],"less":[236]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
