{"id":"https://openalex.org/W4396606321","doi":"https://doi.org/10.1145/3640457.3688118","title":"Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models","display_name":"Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4396606321","doi":"https://doi.org/10.1145/3640457.3688118"},"language":"en","primary_location":{"id":"doi:10.1145/3640457.3688118","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688118","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688118","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688118","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yu Cui","orcid":"https://orcid.org/0009-0001-6203-3022"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Cui","raw_affiliation_strings":["Zhejiang University, China"],"raw_orcid":"https://orcid.org/0009-0001-6203-3022","affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Feng Liu","orcid":"https://orcid.org/0009-0004-9265-9431"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["OPPO Research Institute, China"],"raw_orcid":"https://orcid.org/0009-0004-9265-9431","affiliations":[{"raw_affiliation_string":"OPPO Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pengbo Wang","orcid":"https://orcid.org/0009-0003-1509-0256"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengbo Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0003-1509-0256","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045687137","display_name":"Bohao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohao Wang","raw_affiliation_strings":["Zhejiang University, China"],"raw_orcid":"https://orcid.org/0009-0006-8264-3182","affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Heng Tang","orcid":"https://orcid.org/0009-0000-7933-8706"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tang","raw_affiliation_strings":["Zhejiang University, China"],"raw_orcid":"https://orcid.org/0009-0000-7933-8706","affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yi Wan","orcid":"https://orcid.org/0009-0006-7876-7182"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Wan","raw_affiliation_strings":["OPPO Research Institute, China"],"raw_orcid":"https://orcid.org/0009-0006-7876-7182","affiliations":[{"raw_affiliation_string":"OPPO Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-0481-5341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["OPPO Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0002-0481-5341","affiliations":[{"raw_affiliation_string":"OPPO Research Institute, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiawei Chen","orcid":"https://orcid.org/0000-0002-4752-2629"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Chen","raw_affiliation_strings":["Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-4752-2629","affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"507","last_page":"517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9940000176429749,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9782000184059143,"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":0.5741389989852905},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5492704510688782},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5370937585830688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3594120144844055},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3549966812133789},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13724097609519958},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.11481711268424988}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741389989852905},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5492704510688782},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5370937585830688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3594120144844055},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3549966812133789},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13724097609519958},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.11481711268424988}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3640457.3688118","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688118","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688118","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2405.00338","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.00338","pdf_url":"https://arxiv.org/pdf/2405.00338","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"}],"best_oa_location":{"id":"doi:10.1145/3640457.3688118","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688118","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688118","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4904086664","display_name":null,"funder_award_id":"62372399","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396606321.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1968165559","https://openalex.org/W2743289088","https://openalex.org/W2783272285","https://openalex.org/W2783944588","https://openalex.org/W2808847742","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3004127093","https://openalex.org/W3034368386","https://openalex.org/W3045200674","https://openalex.org/W3084798277","https://openalex.org/W3092103025","https://openalex.org/W3093502611","https://openalex.org/W3093907268","https://openalex.org/W3105472188","https://openalex.org/W3133849783","https://openalex.org/W3153906321","https://openalex.org/W3172187472","https://openalex.org/W3178835722","https://openalex.org/W3208976105","https://openalex.org/W4224325518","https://openalex.org/W4224325975","https://openalex.org/W4290944002","https://openalex.org/W4310416255","https://openalex.org/W4312551924","https://openalex.org/W4367047145","https://openalex.org/W4384625746","https://openalex.org/W4386728933","https://openalex.org/W4387848745","https://openalex.org/W4392367398","https://openalex.org/W4392490033","https://openalex.org/W4392846385","https://openalex.org/W4394973476","https://openalex.org/W4396722619","https://openalex.org/W4396723256","https://openalex.org/W4396734745","https://openalex.org/W4396735686","https://openalex.org/W4396736140","https://openalex.org/W4396758712","https://openalex.org/W4396758737","https://openalex.org/W4400525124","https://openalex.org/W4400526723","https://openalex.org/W4400531810","https://openalex.org/W4400531852","https://openalex.org/W4404545798","https://openalex.org/W6778883912","https://openalex.org/W6839053282","https://openalex.org/W6852797925"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W4395014643","https://openalex.org/W4391913857","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Owing":[0],"to":[1,46,79,92],"their":[2,29],"powerful":[3],"semantic":[4,87],"reasoning":[5],"capabilities,":[6],"Large":[7],"Language":[8],"Models":[9],"(LLMs)":[10],"have":[11],"been":[12],"effectively":[13],"utilized":[14],"as":[15],"recommenders,":[16],"achieving":[17],"impressive":[18],"performance.":[19],"However,":[20],"the":[21,56,65,69,77,81,94],"high":[22],"inference":[23],"latency":[24],"of":[25],"LLMs":[26],"significantly":[27],"restricts":[28],"practical":[30],"deployment.":[31],"To":[32],"address":[33],"this":[34,36],"issue,":[35],"work":[37],"investigates":[38],"knowledge":[39,58,95],"distillation":[40],"from":[41,96],"cumbersome":[42],"LLM-based":[43],"recommendation":[44],"models":[45],"lightweight":[47],"conventional":[48],"sequential":[49],"models.":[50],"It":[51],"encounters":[52],"three":[53],"challenges:":[54],"1)":[55],"teacher\u2019s":[57,82],"may":[59],"not":[60],"always":[61],"be":[62],"reliable;":[63],"2)":[64],"capacity":[66],"gap":[67],"between":[68],"teacher":[70],"and":[71],"student":[72,78],"makes":[73],"it":[74],"difficult":[75],"for":[76],"assimilate":[80],"knowledge;":[83],"3)":[84],"divergence":[85],"in":[86],"space":[88],"poses":[89],"a":[90],"challenge":[91],"distill":[93],"embeddings.":[97]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}