{"id":"https://openalex.org/W4387967965","doi":"https://doi.org/10.1145/3581783.3612091","title":"Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation","display_name":"Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387967965","doi":"https://doi.org/10.1145/3581783.3612091"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612091","doi":"https://doi.org/10.1145/3581783.3612091","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612091","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612091","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612091","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101397422","display_name":"Wei Ji","orcid":"https://orcid.org/0000-0002-8106-9768","observed_orcids":["https://orcid.org/0000-0002-8106-9768"]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Ji","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-8106-9768","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030067405","display_name":"Xiangyan Liu","orcid":"https://orcid.org/0009-0008-7804-6945","observed_orcids":["https://orcid.org/0009-0008-7804-6945"]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiangyan Liu","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0009-0008-7804-6945","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601645","display_name":"An Zhang","orcid":"https://orcid.org/0000-0003-1367-711X","observed_orcids":["https://orcid.org/0000-0003-1367-711X"]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"An Zhang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-1367-711X","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039731055","display_name":"Yinwei Wei","orcid":"https://orcid.org/0000-0003-1791-3159","observed_orcids":["https://orcid.org/0000-0003-1791-3159"]},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yinwei Wei","raw_affiliation_strings":["Monash University, Melboune, VIC, Austria"],"raw_orcid":"https://orcid.org/0000-0003-1791-3159","affiliations":[{"raw_affiliation_string":"Monash University, Melboune, VIC, Austria","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047519028","display_name":"Yongxin Ni","orcid":"https://orcid.org/0009-0003-7606-1475","observed_orcids":["https://orcid.org/0009-0003-7606-1475"]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yongxin Ni","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0009-0003-7606-1475","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389037","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0002-6148-6329","observed_orcids":["https://orcid.org/0000-0002-6148-6329","https://orcid.org/0000-0002-2312-0166"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6148-6329","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5421,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.98417998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"955","last_page":"965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multimodal-transformer","display_name":"multimodal transformer","score":0.6819999814033508},{"id":"https://openalex.org/keywords/online-distillation","display_name":"online distillation","score":0.843999981880188},{"id":"https://openalex.org/keywords/item-representation-learning","display_name":"item representation learning","score":0.9869999885559082},{"id":"https://openalex.org/keywords/data-fusion","display_name":"data fusion","score":0.6539999842643738},{"id":"https://openalex.org/keywords/collaborative-learning","display_name":"cooperative learning","score":0.6119999885559082},{"id":"https://openalex.org/keywords/feature-interaction","display_name":"feature interaction","score":0.6039999723434448},{"id":"https://openalex.org/keywords/text-and-image-features","display_name":"text and image features","score":0.5630000233650208},{"id":"https://openalex.org/keywords/e-commerce-recommender-systems","display_name":"e-commerce recommendation","score":0.703000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224374055862427},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6715012788772583},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5610694289207458},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5565756559371948},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.5209692120552063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5150561332702637},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5140661001205444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48586103320121765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4688238799571991},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.41959893703460693},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4160436689853668},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36151576042175293},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08409926295280457},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3581783.3612091","doi":"https://doi.org/10.1145/3581783.3612091","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612091","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612091","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.04067","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.04067","pdf_url":"https://arxiv.org/pdf/2308.04067","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2308.04067","doi":"https://doi.org/10.48550/arxiv.2308.04067","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2308.04067","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612091","doi":"https://doi.org/10.1145/3581783.3612091","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612091","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612091","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/17","score":0.4399999976158142,"display_name":"Partnerships for the goals"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318567","display_name":"Westlake University","ror":null},{"id":"https://openalex.org/F4320320698","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387967965.pdf","grobid_xml":"https://content.openalex.org/works/W4387967965.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2605350416","https://openalex.org/W2620998106","https://openalex.org/W2899457523","https://openalex.org/W2902040508","https://openalex.org/W2945827670","https://openalex.org/W2963367478","https://openalex.org/W2963655167","https://openalex.org/W2966483207","https://openalex.org/W2972801466","https://openalex.org/W2982108874","https://openalex.org/W2984100107","https://openalex.org/W2996970889","https://openalex.org/W3021636956","https://openalex.org/W3035321581","https://openalex.org/W3037448869","https://openalex.org/W3045200674","https://openalex.org/W3065542300","https://openalex.org/W3093002391","https://openalex.org/W3161758233","https://openalex.org/W3165959525","https://openalex.org/W3174111043","https://openalex.org/W3208227120","https://openalex.org/W4221144351","https://openalex.org/W4290944002","https://openalex.org/W4291127187","https://openalex.org/W4296548674","https://openalex.org/W4306316975","https://openalex.org/W4312271813","https://openalex.org/W4312583258","https://openalex.org/W4312824836","https://openalex.org/W4320830010","https://openalex.org/W4384625746","https://openalex.org/W4384655891","https://openalex.org/W4386075974","https://openalex.org/W4387968166","https://openalex.org/W6600005384","https://openalex.org/W6600874529","https://openalex.org/W6602623533","https://openalex.org/W6603690916"],"related_works":["https://openalex.org/W4378651134","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W1979633005","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Multi-modal":[0,132,169],"recommendation":[1,23,29,39,56,82,127,159,216,221],"systems,":[2,24],"which":[3,231],"integrate":[4],"diverse":[5,113],"types":[6],"of":[7,67,76,112,226],"information,":[8],"have":[9],"gained":[10],"widespread":[11],"attention":[12],"in":[13,32,88,172,193,236],"recent":[14],"years.":[15],"However,":[16],"compared":[17,238],"to":[18,59,98,102,135,178,198,239],"traditional":[19,37],"collaborative":[20,108],"filtering-based":[21],"multi-modal":[22,27,55,125],"research":[25],"on":[26,44,51,80,116,212],"sequential":[28,38,126],"is":[30,232],"still":[31],"its":[33],"nascent":[34],"stages.":[35,93],"Unlike":[36],"models":[40,57],"that":[41],"solely":[42],"rely":[43],"item":[45,61,77,174],"identifier":[46],"(ID)":[47],"information":[48,89,180],"and":[49,64,84,110,139,147,206,218],"focus":[50],"network":[52],"structure":[53],"design,":[54],"need":[58,101],"emphasize":[60],"representation":[62,78,175],"learning":[63,79,109,141,176],"the":[65,74,86,100,173,194,224,227],"fusion":[66,90,111],"heterogeneous":[68],"data":[69,201],"sources.":[70],"This":[71],"paper":[72],"investigates":[73],"impact":[75],"downstream":[81],"tasks":[83],"examines":[85],"disparities":[87],"at":[91],"different":[92,153,183],"Empirical":[94],"experiments":[95],"are":[96],"conducted":[97],"demonstrate":[99,223],"design":[103],"a":[104,120,213],"framework":[105,123],"suitable":[106],"for":[107,124],"information.":[114],"Based":[115],"this,":[117],"we":[118,164,186],"propose":[119],"new":[121],"model-agnostic":[122],"tasks,":[128],"called":[129],"Online":[130],"Distillation-enhanced":[131],"Transformer":[133,170],"(ODMT),":[134],"enhance":[136],"feature":[137],"interaction":[138,181],"mutual":[140],"among":[142,152,182],"multi-source":[143,200],"input":[144],"(ID,":[145],"text,":[146],"image),":[148],"while":[149],"avoiding":[150],"conflicts":[151],"features":[154],"during":[155],"training,":[156],"thereby":[157],"improving":[158],"accuracy.":[160],"To":[161],"be":[162,245],"specific,":[163],"first":[165],"introduce":[166],"an":[167,188],"ID-aware":[168],"module":[171],"stage":[177,197],"facilitate":[179],"features.":[184],"Secondly,":[185],"employ":[187],"online":[189],"distillation":[190],"training":[191],"strategy":[192],"prediction":[195,208],"optimization":[196],"make":[199],"learn":[202],"from":[203],"each":[204],"other":[205],"improve":[207],"robustness.":[209],"Experimental":[210],"results":[211],"stream":[214],"media":[215],"dataset":[217],"three":[219],"e-commerce":[220],"datasets":[222],"effectiveness":[225],"proposed":[228],"two":[229],"modules,":[230],"approximately":[233],"10%":[234],"improvement":[235],"performance":[237],"baseline":[240],"models.":[241],"Our":[242],"code":[243],"will":[244],"released":[246],"at:":[247],"https://github.com/xyliugo/ODMT.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
