{"id":"https://openalex.org/W4412394891","doi":"https://doi.org/10.1145/3726302.3729986","title":"Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation","display_name":"Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412394891","doi":"https://doi.org/10.1145/3726302.3729986"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3729986","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729986","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729986","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729986","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011919005","display_name":"Wenze Ma","orcid":"https://orcid.org/0009-0007-6874-3299"},"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":true,"raw_author_name":"Wenze Ma","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenyu Sun","orcid":"https://orcid.org/0009-0000-3066-0841"},"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":"Chenyu Sun","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081759167","display_name":"Yanmin Zhu","orcid":"https://orcid.org/0000-0001-6406-4992"},"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":"Yanmin Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaobo Wang","orcid":"https://orcid.org/0000-0001-8727-6998"},"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":"Zhaobo Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062240654","display_name":"Xuhao Zhao","orcid":"https://orcid.org/0009-0005-7120-4857"},"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":"Xuhao Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028733167","display_name":"Mengyuan Jing","orcid":"https://orcid.org/0000-0002-0159-4256"},"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":"Mengyuan Jing","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012589427","display_name":"Jiadi Yu","orcid":"https://orcid.org/0000-0002-0207-9643"},"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":"Jiadi Yu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007640861","display_name":"Feilong Tang","orcid":"https://orcid.org/0000-0002-1384-198X"},"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":"Feilong Tang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5011919005"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.0005,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91840186,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"979","last_page":"988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976000189781189,"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":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.7565265893936157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6919752359390259},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.570452868938446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3386518657207489},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09803003072738647},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.094353586435318}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7565265893936157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6919752359390259},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.570452868938446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3386518657207489},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09803003072738647},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.094353586435318},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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":1,"locations":[{"id":"doi:10.1145/3726302.3729986","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729986","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729986","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3729986","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729986","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729986","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1081045896","display_name":null,"funder_award_id":"62472277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2603325869","display_name":null,"funder_award_id":"21511104700","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G2810211578","display_name":null,"funder_award_id":"62472176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4001607369","display_name":null,"funder_award_id":"62172277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5660874354","display_name":null,"funder_award_id":"62072304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6576852456","display_name":null,"funder_award_id":"62172275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7719360533","display_name":null,"funder_award_id":"62472277,62072304,62172275,62472176,62172277","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412394891.pdf","grobid_xml":"https://content.openalex.org/works/W4412394891.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1976999215","https://openalex.org/W2102035799","https://openalex.org/W2130502756","https://openalex.org/W2296073425","https://openalex.org/W2619206542","https://openalex.org/W2950491307","https://openalex.org/W2963655167","https://openalex.org/W2982108874","https://openalex.org/W2990138404","https://openalex.org/W3035524453","https://openalex.org/W3045200674","https://openalex.org/W3080456792","https://openalex.org/W3101023724","https://openalex.org/W3103801215","https://openalex.org/W3172854437","https://openalex.org/W3192113933","https://openalex.org/W3205778609","https://openalex.org/W4205091644","https://openalex.org/W4224325005","https://openalex.org/W4285288414","https://openalex.org/W4309185982","https://openalex.org/W4319653823","https://openalex.org/W4321593910","https://openalex.org/W4322718576","https://openalex.org/W4384644330","https://openalex.org/W4385682046","https://openalex.org/W4386076215","https://openalex.org/W4387846486","https://openalex.org/W4392384667","https://openalex.org/W4393147800","https://openalex.org/W4393153659","https://openalex.org/W4393159797","https://openalex.org/W4396757487","https://openalex.org/W4400527101","https://openalex.org/W4401857190","https://openalex.org/W4403791575","https://openalex.org/W6600902652"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Designing":[0],"effective":[1],"negative":[2,40,90,111,134],"sampling":[3],"strategies":[4],"is":[5],"crucial":[6],"for":[7,71,140],"training":[8],"Multi-Modal":[9],"Recommendation":[10],"(MMRec)":[11],"models,":[12],"as":[13,39,74],"it":[14],"helps":[15],"address":[16],"the":[17,25,50,77,102,133,156],"issues":[18],"of":[19,27,158],"sparse":[20],"user-item":[21],"interactions":[22],"and":[23,80,110,146],"facilitates":[24],"learning":[26],"high-dimensional":[28],"modality":[29],"features.":[30],"However,":[31],"most":[32],"existing":[33],"methods":[34],"randomly":[35],"sample":[36],"non-interacted":[37],"items":[38],"ones,":[41],"which":[42],"frequently":[43],"result":[44],"in":[45],"easy":[46,137],"negatives.":[47],"They":[48,100],"limit":[49],"model's":[51],"ability":[52,115],"to":[53,63,97,104,116,138],"accurately":[54],"capture":[55],"user":[56,98,118],"preferences.":[57,99,119],"In":[58],"this":[59],"paper,":[60],"we":[61,124],"propose":[62],"Generate":[64],"Difficulty-aware":[65],"Negative":[66],"Samples":[67],"via":[68],"conditional":[69],"diffusion":[70],"MMRec":[72],"(denoted":[73],"GDNSM).":[75],"Leveraging":[76],"rich":[78],"semantic":[79],"contextual":[81],"information":[82],"from":[83,136],"multi-modal":[84],"features,":[85],"our":[86,159],"method":[87],"generates":[88],"hard":[89,139],"samples":[91,135],"with":[92],"varying":[93],"difficulty":[94,128],"levels,":[95],"tailored":[96],"force":[101],"model":[103,141],"learn":[105],"finer-grained":[106],"distinctions":[107],"between":[108],"positive":[109],"samples,":[112],"enhancing":[113],"its":[114],"inferring":[117],"To":[120],"avoid":[121],"unstable":[122],"training,":[123,142],"design":[125],"a":[126],"dynamic":[127],"scheduling":[129],"mechanism":[130],"that":[131,155],"schedules":[132],"ensuring":[143],"both":[144],"stability":[145],"effectiveness.":[147],"Extensive":[148],"experiments":[149],"on":[150],"three":[151],"real-world":[152],"datasets":[153],"demonstrate":[154],"effectiveness":[157],"models.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
