{"id":"https://openalex.org/W4416017024","doi":"https://doi.org/10.1145/3746252.3761286","title":"A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation","display_name":"A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4416017024","doi":"https://doi.org/10.1145/3746252.3761286"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761286","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761286","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 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3746252.3761286","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105891526","display_name":"Kyung-Ho Kim","orcid":"https://orcid.org/0009-0008-8304-9585"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungho Kim","raw_affiliation_strings":["KAIST, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0008-8304-9585","affiliations":[{"raw_affiliation_string":"KAIST, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107809101","display_name":"Sunwoo Kim","orcid":"https://orcid.org/0009-0006-6002-169X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunwoo Kim","raw_affiliation_strings":["KAIST, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0006-6002-169X","affiliations":[{"raw_affiliation_string":"KAIST, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756268","display_name":"Geon Lee","orcid":"https://orcid.org/0000-0001-6339-9758"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Geon Lee","raw_affiliation_strings":["KAIST, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-6339-9758","affiliations":[{"raw_affiliation_string":"KAIST, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028609723","display_name":"Kijung Shin","orcid":"https://orcid.org/0000-0002-2872-1526"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kijung Shin","raw_affiliation_strings":["KAIST, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2872-1526","affiliations":[{"raw_affiliation_string":"KAIST, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":3.8492,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94168719,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1354","last_page":"1363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9050999879837036,"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":0.9050999879837036,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.012400000356137753,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.00860000029206276,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/recommender-system","display_name":"Recommender system","score":0.9214000105857849},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.531000018119812},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.35280001163482666},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.33869999647140503},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.31859999895095825}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.9214000105857849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8212000131607056},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.531000018119812},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5088000297546387},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.35280001163482666},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33480000495910645},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2628999948501587},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761286","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761286","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 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3746252.3761286","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761286","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 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6088047432","display_name":null,"funder_award_id":"RS-2024-00406985","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1994389483","https://openalex.org/W2517217469","https://openalex.org/W2788728386","https://openalex.org/W2795397937","https://openalex.org/W2945827670","https://openalex.org/W2996863522","https://openalex.org/W3035287707","https://openalex.org/W3045200674","https://openalex.org/W3087931390","https://openalex.org/W3176294187","https://openalex.org/W4212931205","https://openalex.org/W4220909642","https://openalex.org/W4221155633","https://openalex.org/W4226110810","https://openalex.org/W4231990774","https://openalex.org/W4312080192","https://openalex.org/W4319452363","https://openalex.org/W4361230837","https://openalex.org/W4385567607","https://openalex.org/W4385750174","https://openalex.org/W4400530820","https://openalex.org/W4413167298"],"related_works":[],"abstract_inverted_index":{"In":[0,173],"e-commerce,":[1],"where":[2],"users":[3],"face":[4],"a":[5,33,70,103,127,139,147,165],"vast":[6],"array":[7],"of":[8,181,199],"possible":[9],"item":[10,48,112,157,185],"choices,":[11],"recommender":[12,28,39,100,142],"systems":[13,29,40,101],"are":[14],"vital":[15],"for":[16,169],"helping":[17],"them":[18],"discover":[19],"suitable":[20],"items":[21,67,80],"they":[22],"might":[23],"otherwise":[24],"overlook.":[25],"While":[26],"many":[27],"primarily":[30],"rely":[31],"on":[32,123],"user's":[34],"purchase":[35],"history,":[36],"recent":[37],"multi-behavior":[38,99,141],"incorporate":[41],"various":[42],"auxiliary":[43,76],"user":[44,71,86],"behaviors,":[45],"such":[46,90],"as":[47],"clicks":[49],"and":[50,78,115,118],"cart":[51],"additions,":[52],"to":[53,153,189],"enhance":[54],"recommendations.":[55],"Despite":[56],"their":[57,61],"overall":[58],"performance":[59,122,191],"gains,":[60],"effectiveness":[62,180],"varies":[63],"considerably":[64],"between":[65,109],"visited":[66],"(i.e.,":[68,81],"those":[69,82],"has":[72,87],"interacted":[73],"with":[74,83,126,150],"through":[75],"behaviors)":[77],"unvisited":[79,116],"which":[84],"the":[85,110,155,179,194],"had":[88],"no":[89],"interactions).":[91],"Specifically,":[92],"our":[93,174],"analysis":[94],"reveals":[95],"that":[96],"(1)":[97],"existing":[98],"exhibit":[102],"significant":[104],"gap":[105],"in":[106,197],"recommendation":[107],"quality":[108],"two":[111,156],"types":[113,125],"(visited":[114],"items)":[117],"(2)":[119],"achieving":[120,187],"strong":[121],"both":[124,184],"single":[128],"model":[129],"architecture":[130],"remains":[131],"hallenging.":[132],"To":[133],"tackle":[134],"these":[135],"issues,":[136],"we":[137,177],"propose":[138],"novel":[140],"system,":[143],"MEMBER.":[144],"It":[145],"employs":[146],"mixture-of-experts":[148],"framework,":[149],"experts":[151],"designed":[152],"recommend":[154],"types,":[158,186],"respectively.":[159],"Each":[160],"expert":[161],"is":[162],"trained":[163],"using":[164],"self-supervised":[166],"method":[167],"specialized":[168],"its":[170],"design":[171],"goal.":[172],"comprehensive":[175],"experiments,":[176],"show":[178],"MEMBER":[182],"across":[183],"up":[188],"65.46%":[190],"gain":[192],"over":[193],"best":[195],"competitor":[196],"terms":[198],"Hit":[200],"Ratio@20.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}
