{"id":"https://openalex.org/W4396722619","doi":"https://doi.org/10.1145/3589334.3645671","title":"Can Small Language Models be Good Reasoners for Sequential Recommendation?","display_name":"Can Small Language Models be Good Reasoners for Sequential Recommendation?","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396722619","doi":"https://doi.org/10.1145/3589334.3645671"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645671","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645671","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 2024","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/A5102791006","display_name":"Yuling Wang","orcid":"https://orcid.org/0000-0002-5804-9742"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuling Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications & Ant Group, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5804-9742","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications & Ant Group, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088471665","display_name":"Changxin Tian","orcid":"https://orcid.org/0000-0002-3013-9439"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changxin Tian","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3013-9439","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076909486","display_name":"Binbin Hu","orcid":"https://orcid.org/0000-0002-2505-1619"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Binbin Hu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2505-1619","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058639385","display_name":"Yanhua Yu","orcid":"https://orcid.org/0000-0002-4137-2420"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhua Yu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4137-2420","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114860377","display_name":"Ziqi Liu","orcid":"https://orcid.org/0000-0002-4112-3504"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziqi Liu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4112-3504","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032099283","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0002-2321-7259"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2321-7259","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045140292","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-6033-6102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6033-6102","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004759804","display_name":"Liang Pang","orcid":"https://orcid.org/0000-0003-1161-8546"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Pang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1161-8546","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411469","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0002-4444-7811"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4444-7811","affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5102791006"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":24.2336,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.99533204,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3876","last_page":"3887"},"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":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9970999956130981,"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":0.7625463008880615},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5604326128959656},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5510393977165222},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.5107934474945068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44038888812065125},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41966167092323303},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3627416789531708},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3215542435646057},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16970422863960266},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09236672520637512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625463008880615},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5604326128959656},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5510393977165222},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.5107934474945068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44038888812065125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41966167092323303},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3627416789531708},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3215542435646057},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16970422863960266},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09236672520637512},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589334.3645671","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645671","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 2024","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2406100865","display_name":null,"funder_award_id":"U22B2019,62322203,62172052,62276248","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2132083787","https://openalex.org/W2604942799","https://openalex.org/W2605350416","https://openalex.org/W2783272285","https://openalex.org/W2783944588","https://openalex.org/W2885195348","https://openalex.org/W2899457523","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W2985331920","https://openalex.org/W3101707147","https://openalex.org/W3134063549","https://openalex.org/W3154190849","https://openalex.org/W3208227120","https://openalex.org/W4221143046","https://openalex.org/W4290944002","https://openalex.org/W4385571011","https://openalex.org/W4405643374","https://openalex.org/W6600120041","https://openalex.org/W6600263792"],"related_works":["https://openalex.org/W2616627668","https://openalex.org/W3137121595","https://openalex.org/W2102157173","https://openalex.org/W2051345519","https://openalex.org/W1991530724","https://openalex.org/W3083087975","https://openalex.org/W2023344535","https://openalex.org/W3196817267","https://openalex.org/W1976600725","https://openalex.org/W3098003361"],"abstract_inverted_index":{"Large":[0],"language":[1,15],"models":[2],"(LLMs)":[3],"open":[4],"up":[5],"new":[6],"horizons":[7],"for":[8,74,90,97,123],"sequential":[9,33,76,98],"recommendations,":[10],"owing":[11],"to":[12,30,55,100,140,201],"their":[13],"remarkable":[14],"comprehension":[16],"and":[17,45,72,182,195],"generation":[18],"capabilities.":[19],"However,":[20],"there":[21],"are":[22,42,69,135],"still":[23],"numerous":[24],"challenges":[25],"that":[26],"should":[27],"be":[28],"addressed":[29],"successfully":[31],"implement":[32],"recommendations":[34],"empowered":[35],"by":[36,131],"LLMs.":[37],"Firstly,":[38],"user":[39,120],"behavior":[40,121],"patterns":[41],"often":[43],"complex,":[44],"relying":[46],"solely":[47],"on":[48,119],"one-step":[49],"reasoning":[50,104,158,205],"from":[51,168],"LLMs":[52,107],"may":[53],"lead":[54],"incorrect":[56],"or":[57],"task-irrelevant":[58],"responses.":[59],"Secondly,":[60],"the":[61,102,124,132,142,152,156,165,169,188],"prohibitively":[62],"resource":[63],"requirements":[64],"of":[65,106,190],"LLM":[66],"(e.g.,":[67,147],"ChatGPT-175B)":[68],"overwhelmingly":[70],"high":[71],"impractical":[73],"real":[75],"recommender":[77],"systems.":[78],"In":[79,149],"this":[80,150],"paper,":[81],"we":[82],"propose":[83],"a":[84,94,109,173],"novel":[85],"Step-by-step":[86],"knowLedge":[87],"dIstillation":[88],"fraMework":[89],"recommendation":[91,161,178,204],"(SLIM),":[92],"paving":[93],"promising":[95],"path":[96],"recommenders":[99],"enjoy":[101],"exceptional":[103],"capabilities":[105,159],"in":[108,160,179],"\"slim\"":[110],"(i.e.":[111],"resource-efficient)":[112],"manner.":[113],"We":[114,163],"introduce":[115],"CoT":[116],"prompting":[117],"based":[118],"sequences":[122],"larger":[125],"teacher":[126,133],"model.":[127],"The":[128],"rationales":[129,167],"generated":[130,166],"model":[134,146,154,171],"then":[136],"utilized":[137],"as":[138],"labels":[139],"distill":[141],"downstream":[143],"smaller":[144],"student":[145,153,170],"LLaMA2-7B).":[148],"way,":[151],"acquires":[155],"step-by-step":[157],"tasks.":[162],"encode":[164],"into":[172],"dense":[174],"vector,":[175],"which":[176],"empowers":[177],"both":[180],"ID-based":[181],"ID-agnostic":[183],"scenarios.":[184],"Extensive":[185],"experiments":[186],"demonstrate":[187],"effectiveness":[189],"SLIM":[191],"over":[192],"state-of-the-art":[193],"baselines,":[194],"further":[196],"analysis":[197],"showcasing":[198],"its":[199],"ability":[200],"generate":[202],"meaningful":[203],"at":[206],"affordable":[207],"costs.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":6}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}