{"id":"https://openalex.org/W7156321326","doi":"https://doi.org/10.1145/3774904.3792466","title":"TargetMR: Learning Modality Target for Multimodal Recommendation","display_name":"TargetMR: Learning Modality Target for Multimodal Recommendation","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7156321326","doi":"https://doi.org/10.1145/3774904.3792466"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792466","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792466","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792466","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077755385","display_name":"Gu Tang","orcid":"https://orcid.org/0009-0008-6640-1268"},"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":"Gu Tang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0008-6640-1268","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081560197","display_name":"Jinghe Wang","orcid":"https://orcid.org/0009-0006-2646-6660"},"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":"Jinghe Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-2646-6660","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669526","display_name":"Bo Jiang","orcid":"https://orcid.org/0000-0001-6711-4342"},"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":"Jiang Bo","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6711-4342","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100314486","display_name":"Ze Zhao","orcid":"https://orcid.org/0000-0002-1599-3434"},"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":"Ze Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1599-3434","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101053596","display_name":"Jin Zhou","orcid":"https://orcid.org/0000-0002-1534-2279"},"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":"Jianping Zhou","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0000-7161-2029","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085791658","display_name":"Xiaoying Gan","orcid":"https://orcid.org/0000-0001-5200-1409"},"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":"Xiaoying Gan","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5200-1409","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048486573","display_name":"Luoyi Fu","orcid":"https://orcid.org/0000-0001-7796-9168"},"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":"Luoyi Fu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7796-9168","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034483183","display_name":"Xinbing Wang","orcid":"https://orcid.org/0000-0002-0357-8356"},"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":"Xinbing Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0357-8356","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023919188","display_name":"Chenghu Zhou","orcid":"https://orcid.org/0000-0003-3331-2302"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghu Zhou","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3331-2302","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6457","last_page":"6468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.22360000014305115,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.22360000014305115,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.20069999992847443,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.1868000030517578,"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/object","display_name":"Object (grammar)","score":0.6304000020027161},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5724999904632568},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.49959999322891235},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4740000069141388},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4465999901294708},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4041999876499176},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.3937999904155731},{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.387800008058548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8389000296592712},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6304000020027161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6172999739646912},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5724999904632568},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.49959999322891235},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4740000069141388},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4690000116825104},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4465999901294708},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4381999969482422},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4041999876499176},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.387800008058548},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.337799996137619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.31610000133514404},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.30730000138282776},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2842999994754791},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792466","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792466","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792466","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792466","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2158515176","https://openalex.org/W2808847742","https://openalex.org/W2912678722","https://openalex.org/W2963655167","https://openalex.org/W2964983698","https://openalex.org/W2982108874","https://openalex.org/W2987861506","https://openalex.org/W3024534448","https://openalex.org/W3034368386","https://openalex.org/W3093502611","https://openalex.org/W3155496675","https://openalex.org/W3192113933","https://openalex.org/W4205091644","https://openalex.org/W4284687944","https://openalex.org/W4297971002","https://openalex.org/W4309185982","https://openalex.org/W4321593910","https://openalex.org/W4322718576","https://openalex.org/W4385682046","https://openalex.org/W4386728933","https://openalex.org/W4387171276","https://openalex.org/W4390874575","https://openalex.org/W4392367398","https://openalex.org/W4393159797","https://openalex.org/W4396758712","https://openalex.org/W4409149367","https://openalex.org/W4409364924","https://openalex.org/W4409365705"],"related_works":[],"abstract_inverted_index":{"Rapid":[0],"development":[1],"of":[2,10,68,74,168,182,205,213],"web":[3],"services":[4],"has":[5],"led":[6],"to":[7,82,91,144,178],"an":[8,210],"explosion":[9],"multimodal":[11,14,57],"content,":[12],"making":[13],"recommender":[15],"systems":[16],"(MRSs)":[17],"vital":[18],"tools":[19],"for":[20],"mitigating":[21],"information":[22],"overload.":[23],"Current":[24],"MRSs":[25,77],"have":[26],"achieved":[27],"remarkable":[28],"progress":[29],"by":[30,172],"incorporating":[31],"advanced":[32],"technologies":[33],"such":[34],"as":[35],"Graph":[36],"Neural":[37],"Networks":[38],"(GNNs)":[39],"and":[40,70,114,123,132],"Large":[41],"Language":[42],"Models":[43],"(LLMs).":[44],"However,":[45],"these":[46],"studies":[47],"still":[48],"suffer":[49],"from":[50,86],"the":[51,88,147,154,166,174,179,203],"semantic":[52,160,175],"shift":[53],"problem.":[54],"Generally,":[55],"item's":[56],"content":[58,67],"usually":[59],"contain":[60],"multiple":[61,126],"objects,":[62],"including":[63,111],"target":[64,148,155,170],"object":[65,157,171],"(core":[66],"item)":[69],"auxiliary":[71,84],"objects":[72,85,127],"(decorations":[73],"item).":[75],"Existing":[76],"overlooked":[78],"this":[79,97,163],"distinction,":[80],"failing":[81],"prevent":[83],"dominating":[87],"representation,":[89],"leading":[90],"biased":[92],"item":[93,121],"representation.":[94],"To":[95],"address":[96],"issue,":[98],"we":[99],"propose":[100],"a":[101],"model-agnostic":[102,180],"framework":[103],"''TargetMR''.":[104],"Concretely,":[105],"TargetMR":[106,200],"comprises":[107],"two":[108],"core":[109],"modules,":[110],"Object":[112,115,118,136],"Disentangler":[113,119],"Identifier.":[116],"The":[117,135],"decouples":[120],"text":[122,129,149],"image":[124,133,156,169],"into":[125,188],"via":[128],"syntactic":[130],"parsing":[131],"segmentation.":[134],"Identifier":[137],"performs":[138],"knowledge":[139],"distillation":[140],"based":[141],"on":[142,194],"LLMs":[143],"efficiently":[145],"identify":[146],"object.":[150],"It":[151],"then":[152],"identifies":[153],"through":[158],"cross-modal":[159],"evaluation.":[161],"Moreover,":[162],"module":[164],"refines":[165],"representation":[167],"optimizing":[173],"correlation.":[176],"Owing":[177],"design":[181],"TargetMR,":[183],"it":[184],"can":[185],"be":[186],"integrated":[187],"various":[189],"backbone":[190,207],"MRSs.":[191],"Extensive":[192],"experiments":[193],"three":[195],"benchmark":[196],"datasets":[197],"show":[198],"that":[199],"consistently":[201],"improves":[202],"performance":[204],"five":[206],"MRSs,":[208],"with":[209],"average":[211],"improvement":[212],"12.26%.":[214],"Our":[215],"codes":[216],"are":[217],"available":[218],"at":[219],"https://github.com/gutang-97/TargetMR/.":[220]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-28T00:00:00"}