{"id":"https://openalex.org/W4386729952","doi":"https://doi.org/10.1145/3604915.3610639","title":"Leveraging Large Language Models for Sequential Recommendation","display_name":"Leveraging Large Language Models for Sequential Recommendation","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386729952","doi":"https://doi.org/10.1145/3604915.3610639"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3610639","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3610639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2309.09261","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092867533","display_name":"Jesse Harte","orcid":"https://orcid.org/0009-0008-1180-203X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Jesse Harte","raw_affiliation_strings":["Delivery Hero Research, Germany and Delft University of Technology, Netherlands"],"raw_orcid":"https://orcid.org/0009-0008-1180-203X","affiliations":[{"raw_affiliation_string":"Delivery Hero Research, Germany and Delft University of Technology, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067105295","display_name":"Wouter Zorgdrager","orcid":"https://orcid.org/0009-0008-8965-9368"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wouter Zorgdrager","raw_affiliation_strings":["Delivery Hero Research, Germany"],"raw_orcid":"https://orcid.org/0009-0008-8965-9368","affiliations":[{"raw_affiliation_string":"Delivery Hero Research, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065365299","display_name":"\u03a0\u03ac\u03bd\u03bf\u03c2 \u039b\u03bf\u03c5\u03c1\u03af\u03b4\u03b1\u03c2","orcid":"https://orcid.org/0000-0002-3971-4612"},"institutions":[{"id":"https://openalex.org/I73142707","display_name":"Athens University of Economics and Business","ror":"https://ror.org/03s262162","country_code":"GR","type":"education","lineage":["https://openalex.org/I73142707"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panos Louridas","raw_affiliation_strings":["Management Science &amp; Technology, Athens University of Economics &amp; Business, Greece"],"raw_orcid":"https://orcid.org/0000-0002-3971-4612","affiliations":[{"raw_affiliation_string":"Management Science &amp; Technology, Athens University of Economics &amp; Business, Greece","institution_ids":["https://openalex.org/I73142707"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002932353","display_name":"Asterios Katsifodimos","orcid":"https://orcid.org/0000-0002-6717-2945"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Asterios Katsifodimos","raw_affiliation_strings":["Delft University of Technology, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-6717-2945","affiliations":[{"raw_affiliation_string":"Delft University of Technology, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005545405","display_name":"Dietmar Jannach","orcid":"https://orcid.org/0000-0002-4698-8507"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Dietmar Jannach","raw_affiliation_strings":["University of Klagenfurt, Austria"],"raw_orcid":"https://orcid.org/0000-0002-4698-8507","affiliations":[{"raw_affiliation_string":"University of Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019968638","display_name":"Marios Fragkoulis","orcid":"https://orcid.org/0000-0002-0160-0855"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marios Fragkoulis","raw_affiliation_strings":["Delivery Hero Research, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0160-0855","affiliations":[{"raw_affiliation_string":"Delivery Hero Research, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5092867533"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":49.1767,"has_fulltext":true,"cited_by_count":110,"citation_normalized_percentile":{"value":0.9990681,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1096","last_page":"1102"},"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":0.9995999932289124,"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":0.994700014591217,"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/leverage","display_name":"Leverage (statistics)","score":0.8542059659957886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.849493145942688},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5967849493026733},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5370599031448364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5067852139472961},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4885881841182709},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.47878801822662354},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.4613480865955353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4521288573741913},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45159009099006653},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.42207539081573486},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3232680559158325},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15433767437934875},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.10134848952293396}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8542059659957886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.849493145942688},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5967849493026733},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5370599031448364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5067852139472961},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4885881841182709},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.47878801822662354},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.4613480865955353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4521288573741913},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45159009099006653},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.42207539081573486},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3232680559158325},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15433767437934875},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.10134848952293396},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3604915.3610639","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3610639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2309.09261","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.09261","pdf_url":"https://arxiv.org/pdf/2309.09261","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:tudelft.nl:uuid:95719c19-2b70-470f-a3e3-a44a9c52a6fe","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:95719c19-2b70-470f-a3e3-a44a9c52a6fe","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2309.09261","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.09261","pdf_url":"https://arxiv.org/pdf/2309.09261","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386729952.pdf","grobid_xml":"https://content.openalex.org/works/W4386729952.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1224564842","https://openalex.org/W2106411961","https://openalex.org/W2111094216","https://openalex.org/W2138108551","https://openalex.org/W2154908680","https://openalex.org/W2155106456","https://openalex.org/W2157331557","https://openalex.org/W2161676175","https://openalex.org/W2746011824","https://openalex.org/W2789084759","https://openalex.org/W2795199972","https://openalex.org/W2896457183","https://openalex.org/W2937556626","https://openalex.org/W2953132212","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W3048202504","https://openalex.org/W3098649723","https://openalex.org/W3101063193","https://openalex.org/W3102297550","https://openalex.org/W3121531027","https://openalex.org/W3155368131","https://openalex.org/W3162111400","https://openalex.org/W3172750682","https://openalex.org/W3185693672","https://openalex.org/W3189967866","https://openalex.org/W3200664681","https://openalex.org/W4226037318","https://openalex.org/W4283075123","https://openalex.org/W4284713631","https://openalex.org/W4285806565","https://openalex.org/W4290944002","https://openalex.org/W4292779060","https://openalex.org/W4296591867","https://openalex.org/W4297971002","https://openalex.org/W4299286960","https://openalex.org/W4307001389","https://openalex.org/W4322718191","https://openalex.org/W4364380022","https://openalex.org/W4366733551","https://openalex.org/W4367047145","https://openalex.org/W4376311940","https://openalex.org/W4376654514","https://openalex.org/W4379251438","https://openalex.org/W4380551031","https://openalex.org/W4384648324","https://openalex.org/W4385245566","https://openalex.org/W4385562487","https://openalex.org/W4386728933"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W2050451745","https://openalex.org/W2378903222"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,53,84],"problems":[2],"have":[3],"received":[4],"increasing":[5],"attention":[6],"in":[7,41,68],"research":[8],"during":[9],"the":[10,16,64,81,99,129],"past":[11],"few":[12],"years,":[13],"leading":[14],"to":[15,48,62,98,136],"inception":[17],"of":[18,22,66,133],"a":[19,107],"large":[20,31],"variety":[21],"algorithmic":[23],"approaches.":[24,54],"In":[25],"this":[26],"work,":[27],"we":[28,56,104],"explore":[29],"how":[30],"language":[32],"models":[33],"(LLMs),":[34],"which":[35],"are":[36],"nowadays":[37],"introducing":[38],"disruptive":[39],"effects":[40],"many":[42],"AI-based":[43],"applications,":[44],"can":[45,117],"be":[46],"used":[47],"build":[49],"or":[50],"improve":[51],"sequential":[52,83],"Specifically,":[55],"devise":[57],"and":[58,131],"evaluate":[59],"three":[60],"approaches":[61],"leverage":[63],"power":[65],"LLMs":[67],"different":[69],"ways.":[70],"Our":[71],"results":[72],"from":[73,90],"experiments":[74,135],"on":[75],"two":[76],"datasets":[77],"show":[78],"that":[79,106,110],"initializing":[80],"state-of-the-art":[82],"model":[85],"BERT4Rec":[86,101],"with":[87],"embeddings":[88,113],"obtained":[89],"an":[91],"LLM":[92,112],"improves":[93],"NDCG":[94],"by":[95,121],"15-20%":[96],"compared":[97],"vanilla":[100],"model.":[102],"Furthermore,":[103],"find":[105],"simple":[108],"approach":[109],"leverages":[111],"for":[114],"producing":[115],"recommendations,":[116],"provide":[118],"competitive":[119],"performance":[120],"highlighting":[122],"semantically":[123],"related":[124],"items.":[125],"We":[126],"publicly":[127],"share":[128],"code":[130],"data":[132],"our":[134],"ensure":[137],"reproducibility.1":[138]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":65},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
