{"id":"https://openalex.org/W4400106426","doi":"https://doi.org/10.1145/3631700.3665185","title":"LLM-generated Explanations for Recommender Systems","display_name":"LLM-generated Explanations for Recommender Systems","publication_year":2024,"publication_date":"2024-06-27","ids":{"openalex":"https://openalex.org/W4400106426","doi":"https://doi.org/10.1145/3631700.3665185"},"language":"en","primary_location":{"id":"doi:10.1145/3631700.3665185","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3631700.3665185","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3631700.3665185","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040617592","display_name":"Sebastian Lubos","orcid":"https://orcid.org/0000-0002-5024-3786"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Sebastian Lubos","raw_affiliation_strings":["Graz University of Technology, Institute of Software Technology, Austria"],"raw_orcid":"https://orcid.org/0000-0002-5024-3786","affiliations":[{"raw_affiliation_string":"Graz University of Technology, Institute of Software Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051851807","display_name":"Thi Ngoc Trang Tran","orcid":"https://orcid.org/0000-0002-3550-8352"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thi Ngoc Trang Tran","raw_affiliation_strings":["Graz University of Technology, Institute for Software Technology, Austria"],"raw_orcid":"https://orcid.org/0000-0002-3550-8352","affiliations":[{"raw_affiliation_string":"Graz University of Technology, Institute for Software Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033783997","display_name":"Alexander Felfernig","orcid":"https://orcid.org/0000-0003-0108-3146"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Alexander Felfernig","raw_affiliation_strings":["Graz University of Technology, Institute for Software Technology, Austria"],"raw_orcid":"https://orcid.org/0000-0003-0108-3146","affiliations":[{"raw_affiliation_string":"Graz University of Technology, Institute for Software Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026516324","display_name":"Seda Polat Erdeniz","orcid":"https://orcid.org/0009-0006-5106-3986"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Seda Polat Erdeniz","raw_affiliation_strings":["Graz University of Technology, Institute for Software Technology, Austria"],"raw_orcid":"https://orcid.org/0009-0006-5106-3986","affiliations":[{"raw_affiliation_string":"Graz University of Technology, Institute for Software Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010230805","display_name":"Viet-Man Le","orcid":"https://orcid.org/0000-0001-5778-975X"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Viet-Man Le","raw_affiliation_strings":["Graz University of Technology, Institute for Software Technology, Austria"],"raw_orcid":"https://orcid.org/0000-0001-5778-975X","affiliations":[{"raw_affiliation_string":"Graz University of Technology, Institute for Software Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":null,"apc_paid":null,"fwci":25.716,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.99709186,"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":"276","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9986000061035156,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/recommender-system","display_name":"Recommender system","score":0.834784984588623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7214692234992981},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3897556662559509},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3272772431373596}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.834784984588623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214692234992981},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3897556662559509},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3272772431373596}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3631700.3665185","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3631700.3665185","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3631700.3665185","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3631700.3665185","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1722590560","https://openalex.org/W2046281687","https://openalex.org/W2087467293","https://openalex.org/W2089566520","https://openalex.org/W2096434649","https://openalex.org/W2100171245","https://openalex.org/W2126159342","https://openalex.org/W2219888463","https://openalex.org/W2583875861","https://openalex.org/W2646738377","https://openalex.org/W2794368794","https://openalex.org/W2798435682","https://openalex.org/W2808925008","https://openalex.org/W3027879771","https://openalex.org/W3101366597","https://openalex.org/W3160638507","https://openalex.org/W3194027721","https://openalex.org/W4226210383","https://openalex.org/W4226322861","https://openalex.org/W4283722896","https://openalex.org/W4285545417","https://openalex.org/W4297804276","https://openalex.org/W4367185264","https://openalex.org/W4379251438","https://openalex.org/W4380551031","https://openalex.org/W4381190977","https://openalex.org/W4382246105","https://openalex.org/W4384918448","https://openalex.org/W4386081573","https://openalex.org/W4386728930","https://openalex.org/W4386729952","https://openalex.org/W4386875036","https://openalex.org/W4388099654","https://openalex.org/W4389621827","https://openalex.org/W4389984066","https://openalex.org/W4390490761","https://openalex.org/W4393970560","https://openalex.org/W4400104125"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266"],"abstract_inverted_index":{"Users":[0],"are":[1,27,145],"often":[2,45],"confronted":[3],"with":[4,72,94],"situations":[5],"where":[6],"they":[7,151],"have":[8,62],"to":[9,38,69,91,97,125],"decide":[10],"in":[11,50,134,153],"favor":[12],"or":[13,22],"against":[14],"an":[15,120,135],"offered":[16],"item,":[17],"like":[18],"a":[19,31,53,66,86],"book,":[20],"movie,":[21],"recipe.":[23],"Those":[24],"suggested":[25],"items":[26],"commonly":[28],"determined":[29],"by":[30,148],"recommender":[32],"system,":[33],"which":[34,162],"considers":[35],"personal":[36],"preferences":[37],"identify":[39],"relevant":[40],"items.":[41,158],"However,":[42],"those":[43,173],"systems":[44],"lack":[46],"transparency":[47],"and":[48,81,114,129,171],"comprehensibility":[49],"revealing":[51],"why":[52],"specific":[54],"item":[55],"is":[56],"recommended.":[57],"For":[58],"this":[59,77],"purpose,":[60],"explanations":[61,96,128,144,167],"been":[63],"added":[64],"as":[65,150],"powerful":[67],"tool":[68],"help":[70,152],"users":[71,103,149],"their":[73],"final":[74],"decisions.":[75],"In":[76],"paper,":[78],"we":[79,160],"present":[80],"evaluate":[82,130],"the":[83,100,131,154,165],"capabilities":[84],"of":[85,102,156,164],"Large":[87],"Language":[88],"Model":[89],"(LLM)":[90],"come":[92],"up":[93],"high-quality":[95],"further":[98],"improve":[99],"support":[101],"for":[104,178],"three":[105],"different":[106],"recommendation":[107],"approaches,":[108],"including":[109],"feature-based":[110],"recommendation,":[111],"collaborative":[112],"filtering,":[113],"knowledge-based":[115],"recommendation.":[116],"We":[117],"explain":[118],"how":[119,172],"LLM":[121],"can":[122,175],"be":[123,176],"applied":[124],"generate":[126],"personalized":[127],"explanation":[132],"goals":[133],"online":[136],"user":[137],"study.":[138],"Our":[139],"findings":[140,174],"highlight":[141],"that":[142],"LLM-generated":[143],"highly":[146],"appreciated":[147],"evaluation":[155],"recommended":[157],"Furthermore,":[159],"discuss":[161],"characteristics":[163],"LLM-based":[166],"were":[168],"perceived":[169],"positively":[170],"used":[177],"future":[179],"research.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}