{"id":"https://openalex.org/W4415536498","doi":"https://doi.org/10.1145/3746027.3754977","title":"Generating Negative Samples for Multi-Modal Recommendation","display_name":"Generating Negative Samples for Multi-Modal Recommendation","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415536498","doi":"https://doi.org/10.1145/3746027.3754977"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3754977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3754977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd 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/A5102697866","display_name":"Yanbiao Ji","orcid":"https://orcid.org/0009-0006-8800-9561"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbiao Ji","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-8800-9561","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071089113","display_name":"Dan Luo","orcid":"https://orcid.org/0000-0003-3243-2441"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Luo","raw_affiliation_strings":["Lehigh University, Bethlehem, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3243-2441","affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103214201","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0001-9341-6002"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9341-6002","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103060401","display_name":"Shaokai Wu","orcid":"https://orcid.org/0009-0004-0531-1120"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaokai Wu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0004-0531-1120","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075161317","display_name":"Jing Tong","orcid":"https://orcid.org/0000-0001-5613-6239"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Tong","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5613-6239","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113150835","display_name":"Qichen He","orcid":"https://orcid.org/0000-0003-1973-9529"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qichen He","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1973-9529","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089146499","display_name":"Deyi Ji","orcid":"https://orcid.org/0000-0001-7561-9789"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyi Ji","raw_affiliation_strings":["Tencent, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7561-9789","affiliations":[{"raw_affiliation_string":"Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102899381","display_name":"Hongtao Lu","orcid":"https://orcid.org/0000-0003-2300-3039"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Lu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2300-3039","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100688231","display_name":"Yue Ding","orcid":"https://orcid.org/0000-0002-2911-1244"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ding","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2911-1244","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0267,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90521091,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6007","last_page":"6016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9961000084877014,"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/leverage","display_name":"Leverage (statistics)","score":0.7452999949455261},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6820999979972839},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5088000297546387},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.49140000343322754},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4674000144004822},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.46459999680519104}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7452999949455261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448999881744385},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6820999979972839},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5088000297546387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4916999936103821},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.49140000343322754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47099998593330383},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4674000144004822},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3716999888420105},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2815000116825104},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2531999945640564},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3754977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3754977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1976999215","https://openalex.org/W1991055526","https://openalex.org/W2027731328","https://openalex.org/W2069870183","https://openalex.org/W2102035799","https://openalex.org/W2966799427","https://openalex.org/W2970641574","https://openalex.org/W3011809564","https://openalex.org/W3097679710","https://openalex.org/W4220907840","https://openalex.org/W4285288414","https://openalex.org/W4309185982","https://openalex.org/W4327499399","https://openalex.org/W4379382506","https://openalex.org/W4381587775","https://openalex.org/W4385572319","https://openalex.org/W4386730515","https://openalex.org/W4390490824","https://openalex.org/W4392309180","https://openalex.org/W4393153659","https://openalex.org/W4400528804","https://openalex.org/W4403221260","https://openalex.org/W4403578188"],"related_works":[],"abstract_inverted_index":{"Multi-modal":[0],"recommender":[1],"systems":[2],"(MMRS)":[3],"have":[4],"gained":[5],"significant":[6],"attention":[7],"due":[8],"to":[9,12,18,29,36,87,100,103,133,163],"their":[10],"ability":[11],"leverage":[13],"information":[14],"from":[15],"various":[16],"modalities":[17],"enhance":[19],"recommendation":[20],"quality.":[21],"However,":[22],"existing":[23],"negative":[24,48,55,92,115,168],"sampling":[25,49,169],"techniques":[26],"often":[27],"struggle":[28],"effectively":[30],"utilize":[31],"the":[32,135,157],"multi-modal":[33,82,171],"data,":[34],"leading":[35],"suboptimal":[37],"performance.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,74],"identify":[43],"two":[44],"key":[45,139],"challenges":[46],"in":[47,166],"for":[50],"MMRS:":[51],"(1)":[52],"producing":[53],"cohesive":[54],"samples":[56,60,116],"contrasting":[57],"with":[58],"positive":[59],"and":[61,90,105,112,122,141,170],"(2)":[62],"maintaining":[63],"a":[64,77,129],"balanced":[65,89],"influence":[66],"across":[67,109],"different":[68,97],"modalities.":[69],"To":[70],"address":[71],"these":[72],"challenges,":[73],"propose":[75],"NegGen,":[76],"novel":[78],"framework":[79],"that":[80,117],"utilizes":[81],"large":[83],"language":[84],"models":[85],"(MLLMs)":[86],"generate":[88,114],"contrastive":[91],"samples.":[93],"We":[94],"design":[95],"three":[96],"prompt":[98],"templates":[99],"enable":[101],"NegGen":[102,127,161],"analyze":[104],"manipulate":[106],"item":[107,143],"attributes":[108],"multiple":[110],"modalities,":[111],"then":[113],"introduce":[118],"better":[119],"supervision":[120],"signals":[121],"ensure":[123],"modality":[124],"balance.":[125],"Furthermore,":[126],"employs":[128],"causal":[130],"learning":[131,147],"module":[132],"disentangle":[134],"effect":[136],"of":[137,148,160],"intervened":[138],"features":[140],"irrelevant":[142],"attributes,":[144],"enabling":[145],"fine-grained":[146],"user":[149],"preferences.":[150],"Extensive":[151],"experiments":[152],"on":[153],"real-world":[154],"datasets":[155],"demonstrate":[156],"superior":[158],"performance":[159],"compared":[162],"state-of-the-art":[164],"methods":[165],"both":[167],"recommendation.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-25T00:00:00"}
