{"id":"https://openalex.org/W4367046606","doi":"https://doi.org/10.1145/3543507.3583209","title":"Distillation from Heterogeneous Models for Top-K Recommendation","display_name":"Distillation from Heterogeneous Models for Top-K Recommendation","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046606","doi":"https://doi.org/10.1145/3543507.3583209"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583209","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583209","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/A5075832345","display_name":"SeongKu Kang","orcid":"https://orcid.org/0000-0001-5528-1426"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"SeongKu Kang","raw_affiliation_strings":["Pohang University of Science and Technology, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052506681","display_name":"Wonbin Kweon","orcid":"https://orcid.org/0000-0002-8813-3179"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonbin Kweon","raw_affiliation_strings":["Pohang University of Science and Technology, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071595184","display_name":"Dongha Lee","orcid":"https://orcid.org/0000-0003-2173-3476"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongha Lee","raw_affiliation_strings":["Yonsei University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087106517","display_name":"Jianxun Lian","orcid":"https://orcid.org/0000-0003-3108-5601"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxun Lian","raw_affiliation_strings":["Microsoft Research Asia, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044651577","display_name":"Xing Xie","orcid":"https://orcid.org/0000-0002-8608-8482"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xie","raw_affiliation_strings":["Microsoft Research Asia, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045521125","display_name":"Hwanjo Yu","orcid":"https://orcid.org/0000-0002-7510-0255"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwanjo Yu","raw_affiliation_strings":["Pohang University of Science and Technology, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075832345"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":11.0133,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.98366151,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"801","last_page":"811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9973999857902527,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9878000020980835,"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/computer-science","display_name":"Computer science","score":0.633790135383606},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5181204676628113},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.10084536671638489},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09644410014152527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633790135383606},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5181204676628113},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.10084536671638489},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09644410014152527}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543507.3583209","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583209","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":[{"id":"https://metadata.un.org/sdg/4","score":0.5699999928474426,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1720514416","https://openalex.org/W1976999215","https://openalex.org/W2091158010","https://openalex.org/W2256388387","https://openalex.org/W2296073425","https://openalex.org/W2604433096","https://openalex.org/W2743289088","https://openalex.org/W2747909401","https://openalex.org/W2788388592","https://openalex.org/W2808847742","https://openalex.org/W2915000900","https://openalex.org/W2963085847","https://openalex.org/W2965198005","https://openalex.org/W2981819252","https://openalex.org/W2987219395","https://openalex.org/W3006895932","https://openalex.org/W3020834808","https://openalex.org/W3045672834","https://openalex.org/W3093502611","https://openalex.org/W3096121526","https://openalex.org/W3106498098","https://openalex.org/W3110846353","https://openalex.org/W3142849873","https://openalex.org/W3154731007","https://openalex.org/W3168146412","https://openalex.org/W3172187472","https://openalex.org/W3172887428","https://openalex.org/W3174510164","https://openalex.org/W3194721698","https://openalex.org/W3204816216","https://openalex.org/W4200176867","https://openalex.org/W4224322184","https://openalex.org/W4224926669","https://openalex.org/W4225156005","https://openalex.org/W4281613206","https://openalex.org/W4290379643","https://openalex.org/W4312412605"],"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":{"Recent":[0],"recommender":[1],"systems":[2],"have":[3],"shown":[4],"remarkable":[5],"performance":[6],"by":[7,120],"using":[8,54],"an":[9,69,91],"ensemble":[10,44],"of":[11,30,46,77,124,175],"heterogeneous":[12,47,85],"models.":[13],"However,":[14],"it":[15,20],"is":[16],"exceedingly":[17],"costly":[18],"because":[19],"requires":[21],"resources":[22],"and":[23,151,172],"inference":[24,62],"latency":[25],"proportional":[26],"to":[27,41,49,58,94,135,145,155],"the":[28,34,43,60,75,96,102,117,128,136,169,173,176],"number":[29],"models,":[31],"which":[32],"remains":[33],"bottleneck":[35],"for":[36],"production.":[37],"Our":[38,161],"work":[39],"aims":[40],"transfer":[42,154,157],"knowledge":[45,55,83,125,143,150,153],"teachers":[48],"a":[50,109],"lightweight":[51],"student":[52,118,177],"model":[53,119],"distillation":[56,78,170],"(KD),":[57],"reduce":[59],"huge":[61],"costs":[63],"while":[64],"retaining":[65],"high":[66],"accuracy.":[67],"Through":[68],"empirical":[70],"study,":[71],"we":[72,88],"find":[73],"that":[74,90,115,165],"efficacy":[76],"severely":[79],"drops":[80],"when":[81],"transferring":[82,121],"from":[84,101,127],"teachers.":[86],"Nevertheless,":[87],"show":[89,164],"important":[92],"signal":[93],"ease":[95],"difficulty":[97],"can":[98],"be":[99],"obtained":[100],"teacher\u2019s":[103],"training":[104],"trajectory.":[105],"This":[106],"paper":[107],"proposes":[108],"new":[110],"KD":[111],"framework,":[112],"named":[113],"HetComp,":[114],"guides":[116],"easy-to-hard":[122],"sequences":[123],"generated":[126],"teachers\u2019":[129],"trajectories.":[130],"To":[131],"provide":[132,146],"guidance":[133],"according":[134],"student\u2019s":[137],"learning":[138],"state,":[139],"HetComp":[140,166],"uses":[141],"dynamic":[142],"construction":[144],"progressively":[147],"difficult":[148],"ranking":[149,159],"adaptive":[152],"gradually":[156],"finer-grained":[158],"information.":[160],"comprehensive":[162],"experiments":[163],"significantly":[167],"improves":[168],"quality":[171],"generalization":[174],"model.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}