{"id":"https://openalex.org/W4293519101","doi":"https://doi.org/10.1109/icme52920.2022.9859663","title":"M<sup>3</sup>Rec: Cross-Modal Context Enhanced Micro-Video Recommendation with Mutual Information Maximization","display_name":"M<sup>3</sup>Rec: Cross-Modal Context Enhanced Micro-Video Recommendation with Mutual Information Maximization","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293519101","doi":"https://doi.org/10.1109/icme52920.2022.9859663"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859663","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024584643","display_name":"Qihan Du","orcid":"https://orcid.org/0000-0002-8607-6246"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihan Du","raw_affiliation_strings":["Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066881473","display_name":"Li Yu","orcid":"https://orcid.org/0000-0001-8503-2535"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":["Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637653","display_name":"Huiyuan Li","orcid":"https://orcid.org/0000-0001-6789-8693"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyuan Li","raw_affiliation_strings":["Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064561289","display_name":"Ningrui Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningrui Ou","raw_affiliation_strings":["Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044963100","display_name":"Xinjing Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjing Gong","raw_affiliation_strings":["Northeast Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Agricultural University","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068319361","display_name":"Junyao Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyao Xiang","raw_affiliation_strings":["Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2512,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48859818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9958000183105469,"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/T11309","display_name":"Music and Audio Processing","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7540479302406311},{"id":"https://openalex.org/keywords/infomax","display_name":"Infomax","score":0.7439784407615662},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.710564136505127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6296647787094116},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.578511655330658},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5737311244010925},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5321924686431885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.521369993686676},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4886937439441681},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46032679080963135},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4599020481109619},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3760908544063568},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32808613777160645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11255446076393127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540479302406311},{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.7439784407615662},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.710564136505127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6296647787094116},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.578511655330658},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5737311244010925},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5321924686431885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.521369993686676},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4886937439441681},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46032679080963135},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4599020481109619},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3760908544063568},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32808613777160645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11255446076393127},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859663","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4300000071525574,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1962157676","display_name":null,"funder_award_id":"21XNH178","funder_id":"https://openalex.org/F4320322499","funder_display_name":"Renmin University of China"}],"funders":[{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2295739661","https://openalex.org/W2526050071","https://openalex.org/W2741249238","https://openalex.org/W2765757915","https://openalex.org/W2842511635","https://openalex.org/W2896457183","https://openalex.org/W2945827670","https://openalex.org/W2963655167","https://openalex.org/W2982108874","https://openalex.org/W3024534448","https://openalex.org/W3065542300","https://openalex.org/W3100260481","https://openalex.org/W3100278010","https://openalex.org/W3166751026","https://openalex.org/W3169346140","https://openalex.org/W4205403018","https://openalex.org/W4294558607","https://openalex.org/W4297808394","https://openalex.org/W6738964360","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2139138217","https://openalex.org/W2142105644","https://openalex.org/W2785601041","https://openalex.org/W1833833977","https://openalex.org/W2146711600","https://openalex.org/W2241417046","https://openalex.org/W2908598672","https://openalex.org/W2157319902","https://openalex.org/W2597403208","https://openalex.org/W4399598771"],"abstract_inverted_index":{"Personalized":[0],"recommendation":[1],"of":[2],"micro-videos":[3],"is":[4],"crucial":[5],"for":[6,73],"many":[7],"content":[8],"sharing":[9],"platforms.":[10],"Micro-videos":[11],"typically":[12],"com-prise":[13],"fruitful":[14],"multimodal":[15,23,53,87],"contents.":[16],"Existing":[17],"methods":[18],"have":[19],"limitations":[20],"in":[21],"learning":[22],"representations:":[24],"(i)":[25],"They":[26,46],"suffer":[27],"from":[28],"data":[29],"sparsity":[30],"problems":[31],"as":[32],"only":[33],"rely":[34],"on":[35,95],"the":[36,42,50,56,80,96,102,113,123],"inter-action":[37],"prediction":[38,105],"loss":[39],"to":[40,85,89,111,135],"train":[41],"whole":[43],"model.":[44],"(ii)":[45],"do":[47],"not":[48],"consider":[49],"correlation":[51,114],"among":[52,115],"contents":[54,120],"into":[55],"representation":[57],"learning.":[58],"To":[59],"tackle":[60],"these":[61],"limitations,":[62],"we":[63,78,100,129],"propose":[64],"a":[65],"cross-Modal":[66],"context":[67],"enhanced":[68],"method":[69],"via":[70,132],"Mutual":[71],"infoMax":[72],"Recommendation,":[74],"termed":[75],"M3Rec.":[76],"Specifically,":[77],"design":[79,101],"cross-modal":[81],"graph":[82],"neural":[83],"network":[84],"inter-change":[86],"information":[88,125],"generate":[90],"modality-aware":[91],"representations.":[92],"Then,":[93],"based":[94],"coupled":[97],"modality":[98,104],"con-text,":[99],"masked":[103],"(MMP)":[106],"with":[107],"three":[108],"self-supervised":[109,133],"objectives":[110],"learn":[112],"visual,":[116],"textual,":[117],"and":[118],"acoustic":[119],"empowered":[121],"by":[122],"mu-tual":[124],"maximization":[126],"principle.":[127],"Finally,":[128],"enhance":[130],"representations":[131],"pre-training":[134],"boost":[136],"rec-ommendation.":[137],"Extensive":[138],"experiments":[139],"demonstrate":[140],"that":[141],"our":[142],"approach":[143],"outperforms":[144],"existing":[145],"state-of-the-art":[146],"methods.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}