{"id":"https://openalex.org/W4401864021","doi":"https://doi.org/10.1145/3637528.3671901","title":"CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation","display_name":"CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401864021","doi":"https://doi.org/10.1145/3637528.3671901"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671901","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3671901","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671901","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 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671901","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035658564","display_name":"Junda Wu","orcid":"https://orcid.org/0000-0001-6464-7813"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junda Wu","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6464-7813","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104257042","display_name":"Cheng-Chun Chang","orcid":"https://orcid.org/0009-0006-6622-3663"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng-Chun Chang","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0009-0006-6622-3663","affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767817","display_name":"Tong Yu","orcid":"https://orcid.org/0000-0002-5991-2050"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Yu","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5991-2050","affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061585298","display_name":"Zhankui He","orcid":"https://orcid.org/0000-0002-9139-8004"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhankui He","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9139-8004","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337987","display_name":"Jianing Wang","orcid":"https://orcid.org/0000-0001-6006-053X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianing Wang","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6006-053X","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052347581","display_name":"Yupeng Hou","orcid":"https://orcid.org/0000-0002-0747-8010"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yupeng Hou","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0747-8010","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021827617","display_name":"Julian McAuley","orcid":"https://orcid.org/0000-0003-0955-7588"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian McAuley","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0955-7588","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.065,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.99450889,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3391","last_page":"3401"},"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":0.9987000226974487,"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":0.9934999942779541,"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":0.7480649948120117},{"id":"https://openalex.org/keywords/coral","display_name":"Coral","score":0.7422834634780884},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5088129639625549},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4217906594276428},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4095071852207184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3496910333633423},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.28984808921813965},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17642176151275635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480649948120117},{"id":"https://openalex.org/C143020374","wikidata":"https://www.wikidata.org/wiki/Q2411228","display_name":"Coral","level":2,"score":0.7422834634780884},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5088129639625549},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4217906594276428},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4095071852207184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3496910333633423},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.28984808921813965},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17642176151275635}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671901","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3671901","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671901","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 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3637528.3671901","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3671901","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671901","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 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401864021.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1974848861","https://openalex.org/W2145339207","https://openalex.org/W2340526403","https://openalex.org/W2475334473","https://openalex.org/W2629213068","https://openalex.org/W2907454463","https://openalex.org/W2963691377","https://openalex.org/W2964182926","https://openalex.org/W2969314833","https://openalex.org/W2971196067","https://openalex.org/W2972801466","https://openalex.org/W2996863522","https://openalex.org/W3012600133","https://openalex.org/W3088231800","https://openalex.org/W3093601757","https://openalex.org/W3097679710","https://openalex.org/W3101148092","https://openalex.org/W3103310105","https://openalex.org/W3115572006","https://openalex.org/W3127259869","https://openalex.org/W3134330728","https://openalex.org/W3156622960","https://openalex.org/W3157014581","https://openalex.org/W3170713142","https://openalex.org/W3175865138","https://openalex.org/W3183638647","https://openalex.org/W3200172637","https://openalex.org/W3205346281","https://openalex.org/W4210670585","https://openalex.org/W4221143046","https://openalex.org/W4226315423","https://openalex.org/W4247132965","https://openalex.org/W4284675209","https://openalex.org/W4284713500","https://openalex.org/W4304083153","https://openalex.org/W4384648240","https://openalex.org/W4385562483","https://openalex.org/W4385568114","https://openalex.org/W4386728930","https://openalex.org/W4386729004","https://openalex.org/W4386729356","https://openalex.org/W4386729952","https://openalex.org/W4387848742","https://openalex.org/W4387848745","https://openalex.org/W4389519826","https://openalex.org/W4392367559","https://openalex.org/W4396734745","https://openalex.org/W4396758712","https://openalex.org/W6818183974"],"related_works":["https://openalex.org/W3137460254","https://openalex.org/W2331655233","https://openalex.org/W2791779173","https://openalex.org/W2064556888","https://openalex.org/W2051837354","https://openalex.org/W2046263788","https://openalex.org/W2185338854","https://openalex.org/W4281675922","https://openalex.org/W2299435379","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0,19,142],"long-tail":[1],"recommendation":[2,177,222],"is":[3,69,169],"a":[4,191,197,202],"challenging":[5],"task":[6],"for":[7,61,176],"traditional":[8],"recommender":[9],"systems,":[10],"due":[11],"to":[12,37,77,92,149,184],"data":[13,16],"sparsity":[14],"and":[15,122,127,195],"imbalance":[17],"issues.":[18],"recent":[20],"development":[21],"of":[22,66,84,134,165],"large":[23],"language":[24],"models":[25],"(LLMs)":[26],"has":[27],"shown":[28],"their":[29],"abilities":[30,219],"in":[31,158],"complex":[32],"reasoning,":[33,62],"which":[34,71,103,132],"can":[35,72,119,179,214,230],"help":[36],"deduce":[38],"users'":[39],"preferences":[40,124],"based":[41],"on":[42,53,112,220],"very":[43],"few":[44],"previous":[45],"interactions.":[46],"However,":[47,161],"since":[48,162],"most":[49],"LLM-based":[50],"systems":[51],"rely":[52],"items'":[54],"semantic":[55],"meaning":[56],"as":[57],"the":[58,63,74,85,109,113,117,129,147,154,159,163,166,172,186],"sole":[59],"evidence":[60,107,145],"collaborative":[64,82,99,106,144,174,234],"information":[65,83,175,235],"user-item":[67,94,115,155],"interactions":[68],"neglected,":[70],"cause":[73],"LLM's":[75],"reasoning":[76,91,152,218],"be":[78,137,180],"misaligned":[79],"with":[80,153],"task-specific":[81,93],"dataset.":[86,160],"To":[87],"further":[88],"align":[89,150],"LLMs'":[90,217],"interaction":[95,156,188],"knowledge,":[96],"we":[97],"introduce":[98],"retrieval-augmented":[100],"LLMs,":[101],"CoRAL,":[102],"directly":[104],"incorporate":[105],"into":[108],"prompts.":[110],"Based":[111],"retrieved":[114,143],"interactions,":[116],"LLM":[118,148],"analyze":[120],"shared":[121],"distinct":[123],"among":[125],"users,":[126],"summarize":[128],"patterns":[130,157],"indicating":[131],"types":[133],"users":[135],"would":[136],"attracted":[138],"by":[139],"certain":[140],"items.":[141],"prompts":[146],"its":[151],"capacity":[164],"input":[167],"prompt":[168],"limited,":[170],"finding":[171],"minimally-sufficient":[173],"tasks":[178],"challenging.":[181],"We":[182],"propose":[183],"find":[185],"optimal":[187],"set":[189],"through":[190,201,236],"sequential":[192],"decision-making":[193],"process":[194],"develop":[196],"retrieval":[198],"policy":[199],"learned":[200],"reinforcement":[203,237],"learning":[204],"(RL)":[205],"framework,":[206],"CoRAL.":[207],"Our":[208,224],"experimental":[209],"results":[210],"show":[211],"that":[212,228],"CoRAL":[213,229],"significantly":[215],"improve":[216],"specific":[221],"tasks.":[223],"analysis":[225],"also":[226],"reveals":[227],"more":[231],"efficiently":[232],"explore":[233],"learning.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":21}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}