{"id":"https://openalex.org/W4415974253","doi":"https://doi.org/10.1016/j.procs.2025.09.305","title":"Utilizing Users\u2019 Negative Preferences in LLM-Based Recommendation System","display_name":"Utilizing Users\u2019 Negative Preferences in LLM-Based Recommendation System","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415974253","doi":"https://doi.org/10.1016/j.procs.2025.09.305"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.09.305","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.305","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.09.305","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084019016","display_name":"Yunfan Xu","orcid":"https://orcid.org/0000-0002-4037-3253"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yunfan Xu","raw_affiliation_strings":["Kyushu University, 4-9-1 Shiobaru, Minami-ku, Fukuoka, 815-8540, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University, 4-9-1 Shiobaru, Minami-ku, Fukuoka, 815-8540, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018948845","display_name":"Taketoshi Ushiama","orcid":"https://orcid.org/0000-0002-1306-0526"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taketoshi Ushiama","raw_affiliation_strings":["Kyushu University, 4-9-1 Shiobaru, Minami-ku, Fukuoka, 815-8540, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University, 4-9-1 Shiobaru, Minami-ku, Fukuoka, 815-8540, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084019016"],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38027029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"270","issue":null,"first_page":"1846","last_page":"1855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.6018999814987183,"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":0.6018999814987183,"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":0.059300001710653305,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.043299999088048935,"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/movielens","display_name":"MovieLens","score":0.8628000020980835},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8579000234603882},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6118999719619751},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5795000195503235},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.554099977016449},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5390999913215637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9194999933242798},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.8628000020980835},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8579000234603882},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6118999719619751},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.554099977016449},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5390999913215637},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43700000643730164},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.358599990606308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30239999294281006},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28220000863075256},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.263700008392334},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2567000091075897}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.procs.2025.09.305","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.305","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:catalog.lib.kyushu-u.ac.jp:2324/7392684","is_oa":true,"landing_page_url":"http://hdl.handle.net/2324/7392684","pdf_url":"https://catalog.lib.kyushu-u.ac.jp/opac_download_md/7392684/7392684.pdf","source":{"id":"https://openalex.org/S4306400832","display_name":"Kyushu University Institutional Repository (QIR) (Kyushu University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I135598925","host_organization_name":"Kyushu University","host_organization_lineage":["https://openalex.org/I135598925"],"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":"International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2025)","raw_type":"conference paper"},{"id":"pmh:oai:irdb.nii.ac.jp:01211:0007009840","is_oa":true,"landing_page_url":"https://hdl.handle.net/2324/7392684","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":"Procedia Computer Science","raw_type":"conference paper"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.09.305","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.305","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W3014901735","https://openalex.org/W4296591867","https://openalex.org/W4386728930","https://openalex.org/W4386728933","https://openalex.org/W4386730515","https://openalex.org/W4387848745","https://openalex.org/W4401042327"],"related_works":[],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"have":[2,14],"significantly":[3],"evolved":[4],"with":[5,58,134],"the":[6,43,52,85,88,105,118,126],"integration":[7],"of":[8,36,108,120],"large":[9],"language":[10,22],"models":[11],"(LLMs)":[12],"which":[13],"attracted":[15],"increasing":[16],"attention":[17],"due":[18],"to":[19,54,73],"their":[20],"strong":[21],"understanding":[23],"capabilities.":[24],"In":[25,94],"typical":[26],"human-to-human":[27],"recommendation":[28,101],"processes,":[29],"a":[30,34],"recommender":[31],"first":[32],"presents":[33],"list":[35],"items":[37,110],"and":[38,77,91,128],"offers":[39],"explanations":[40],"based":[41],"on":[42],"user\u2019s":[44,89],"preferences.":[45,80,115],"The":[46],"user":[47,79],"then":[48],"provides":[49],"feedback":[50],"allowing":[51],"recommenders":[53],"refine":[55],"future":[56],"recommendations":[57],"great":[59],"accuracy.":[60],"To":[61],"implement":[62],"this":[63,95],"refinement":[64],"process":[65],"effectively":[66],"in":[67],"automated":[68],"systems,":[69],"it":[70],"is":[71],"crucial":[72],"understand":[74],"both":[75],"positive":[76],"negative":[78,114],"This":[81],"dual":[82],"perspective":[83],"highlights":[84],"discrepancies":[86],"between":[87],"interests":[90],"recommended":[92,109],"items.":[93],"study,":[96],"we":[97],"propose":[98],"an":[99],"LLM-based":[100],"method":[102],"that":[103],"emphasizes":[104],"selection":[106],"effects":[107],"by":[111],"analyzing":[112],"users\u2019":[113],"We":[116],"evaluate":[117],"effectiveness":[119],"our":[121],"approach":[122],"through":[123],"experiments":[124],"using":[125],"LLaMA3.1":[127],"MovieLens":[129],"1M":[130],"dataset,":[131],"comparing":[132],"performance":[133],"existing":[135],"baseline":[136],"methods.":[137]},"counts_by_year":[],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2025-11-06T00:00:00"}