{"id":"https://openalex.org/W4367047350","doi":"https://doi.org/10.1145/3543507.3583378","title":"MMMLP: Multi-modal Multilayer Perceptron for\u00a0Sequential\u00a0Recommendations","display_name":"MMMLP: Multi-modal Multilayer Perceptron for\u00a0Sequential\u00a0Recommendations","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367047350","doi":"https://doi.org/10.1145/3543507.3583378"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583378","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","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/A5003360313","display_name":"Jiahao Liang","orcid":"https://orcid.org/0000-0001-5187-4718"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jiahao Liang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645854","display_name":"Xiangyu Zhao","orcid":"https://orcid.org/0000-0003-2926-4416"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783920","display_name":"Muyang Li","orcid":"https://orcid.org/0000-0003-1009-2343"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Muyang Li","raw_affiliation_strings":["University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337466","display_name":"Zijian Zhang","orcid":"https://orcid.org/0000-0003-1194-8334"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zijian Zhang","raw_affiliation_strings":["Jilin University, China and City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Jilin University, China and City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059573675","display_name":"Wanyu Wang","orcid":"https://orcid.org/0000-0001-5976-0707"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanyu Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016008412","display_name":"Haochen Liu","orcid":"https://orcid.org/0000-0001-5290-7163"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haochen Liu","raw_affiliation_strings":["Michigan State University, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014957271","display_name":"Zitao Liu","orcid":"https://orcid.org/0000-0003-0491-307X"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zitao Liu","raw_affiliation_strings":["Guangdong Institute of Smart Education, Jinan University, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Institute of Smart Education, Jinan University, China","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5003360313"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":18.0861,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.99232333,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1109","last_page":"1117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996399998664856,"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":0.7486879825592041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7328180074691772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34992292523384094},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06758075952529907}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7486879825592041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7328180074691772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34992292523384094},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06758075952529907},{"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:10.1145/3543507.3583378","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","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":34,"referenced_works":["https://openalex.org/W2050248182","https://openalex.org/W2064675550","https://openalex.org/W2108920354","https://openalex.org/W2157331557","https://openalex.org/W2295739661","https://openalex.org/W2512965516","https://openalex.org/W2741249238","https://openalex.org/W2788295351","https://openalex.org/W2799544270","https://openalex.org/W2945772520","https://openalex.org/W2963367478","https://openalex.org/W2964296635","https://openalex.org/W2964352502","https://openalex.org/W2966483207","https://openalex.org/W3007094061","https://openalex.org/W3012948425","https://openalex.org/W3040127368","https://openalex.org/W3102778384","https://openalex.org/W3102899483","https://openalex.org/W3103141630","https://openalex.org/W3105787366","https://openalex.org/W3106252282","https://openalex.org/W3106275434","https://openalex.org/W3153252032","https://openalex.org/W3157410348","https://openalex.org/W3157506437","https://openalex.org/W3163465952","https://openalex.org/W3208227120","https://openalex.org/W4220974940","https://openalex.org/W4226180316","https://openalex.org/W4306317051","https://openalex.org/W4306317444","https://openalex.org/W4385565006","https://openalex.org/W4385570397"],"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":{"Sequential":[0],"recommendation":[1,26,69,177],"aims":[2],"to":[3,8,73,149,183,194],"offer":[4],"potentially":[5],"interesting":[6],"products":[7],"users":[9],"by":[10,170],"capturing":[11],"their":[12],"historical":[13,40],"sequence":[14],"of":[15,109,153],"interacted":[16,51],"items.":[17],"Although":[18],"it":[19],"has":[20,30,125],"facilitated":[21],"extensive":[22],"physical":[23],"scenarios,":[24],"sequential":[25,68,99],"for":[27,94,98],"multi-modal":[28,96,167,185],"sequences":[29,97],"long":[31],"been":[32],"neglected.":[33],"Multi-modal":[34],"data":[35],"that":[36,60,107,136,165],"depicts":[37],"a":[38,63,88,103],"user\u2019s":[39,64],"interactions":[41],"exists":[42],"ubiquitously,":[43],"such":[44],"as":[45],"product":[46],"pictures,":[47],"textual":[48],"descriptions,":[49],"and":[50,120,124,131,161],"item":[52],"sequences,":[53],"providing":[54],"semantic":[55],"information":[56],"from":[57,79],"multiple":[58],"perspectives":[59],"comprehensively":[61],"describe":[62],"preferences.":[65],"However,":[66],"existing":[67],"methods":[70],"either":[71],"fail":[72],"directly":[74],"handle":[75,184],"multi-modality":[76],"or":[77],"suffer":[78],"high":[80],"computational":[81],"complexity.":[82,143],"To":[83],"address":[84],"this,":[85],"we":[86],"propose":[87],"novel":[89],"Multi-Modal":[90],"Multi-Layer":[91],"Perceptron":[92],"(MMMLP)":[93],"maintaining":[95],"recommendation.":[100],"MMMLP":[101,137],"is":[102],"purely":[104],"MLP-based":[105],"architecture":[106],"consists":[108],"three":[110],"modules":[111],"-":[112,123],"the":[113,151,162,166],"Feature":[114],"Mixer":[115,118],"Layer,":[116,119],"Fusion":[117],"Prediction":[121],"Layer":[122],"an":[126],"edge":[127],"on":[128],"both":[129],"efficacy":[130],"efficiency.":[132],"Extensive":[133],"experiments":[134,158],"show":[135,164],"achieves":[138],"state-of-the-art":[139],"performance":[140],"with":[141],"linear":[142],"We":[144,187],"also":[145],"conduct":[146],"ablating":[147],"analysis":[148],"verify":[150],"contribution":[152],"each":[154],"component.":[155],"Furthermore,":[156],"compatible":[157],"are":[159],"devised,":[160],"results":[163],"representation":[168],"learned":[169],"our":[171,180,190],"proposed":[172],"model":[173],"generally":[174],"benefits":[175],"other":[176],"models,":[178],"emphasizing":[179],"model\u2019s":[181],"ability":[182],"information.":[186],"have":[188],"made":[189],"code":[191],"available":[192],"online":[193],"ease":[195],"reproducibility1.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
