{"id":"https://openalex.org/W4414034761","doi":"https://doi.org/10.1145/3705328.3759319","title":"Fine-tuning for Inference-efficient Calibrated Recommendations","display_name":"Fine-tuning for Inference-efficient Calibrated Recommendations","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034761","doi":"https://doi.org/10.1145/3705328.3759319"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3759319","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3759319","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3759319","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3759319","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034972662","display_name":"Oleg Lesota","orcid":"https://orcid.org/0000-0002-8321-6565"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Oleg Lesota","raw_affiliation_strings":["Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":"https://orcid.org/0000-0002-8321-6565","affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119556655","display_name":"Adrian Bajko","orcid":null},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Adrian Bajko","raw_affiliation_strings":["Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":"https://orcid.org/0009-0005-6676-1122","affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107823453","display_name":"Max Walder","orcid":null},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Max Walder","raw_affiliation_strings":["Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":"https://orcid.org/0009-0002-0644-801X","affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Matthias Wenzel","orcid":"https://orcid.org/0009-0004-2329-2998"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Matthias Wenzel","raw_affiliation_strings":["Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":"https://orcid.org/0009-0004-2329-2998","affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089491084","display_name":"Antonela Tommasel","orcid":"https://orcid.org/0000-0001-6091-8305"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Antonela Tommasel","raw_affiliation_strings":["ISISTAN, CONICET-UNCPBA, Tandil, Argentina and Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":"https://orcid.org/0000-0001-6091-8305","affiliations":[{"raw_affiliation_string":"ISISTAN, CONICET-UNCPBA, Tandil, Argentina and Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091259315","display_name":"Markus Schedl","orcid":"https://orcid.org/0000-0003-1706-3406"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Markus Schedl","raw_affiliation_strings":["Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":"https://orcid.org/0000-0003-1706-3406","affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121883995"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1187","last_page":"1192"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6944030523300171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6825470924377441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32723796367645264}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6944030523300171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6825470924377441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32723796367645264}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3705328.3759319","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3759319","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3759319","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3705328.3759319","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3759319","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3759319","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4125750076","display_name":null,"funder_award_id":"10.55776/COE12","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"}],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414034761.pdf","grobid_xml":"https://content.openalex.org/works/W4414034761.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2146950091","https://openalex.org/W2219888463","https://openalex.org/W2740920897","https://openalex.org/W2911936302","https://openalex.org/W2972389703","https://openalex.org/W2992252352","https://openalex.org/W3041959787","https://openalex.org/W3088511490","https://openalex.org/W3134330728","https://openalex.org/W3175865138","https://openalex.org/W3189373506","https://openalex.org/W3195405741","https://openalex.org/W3199543545","https://openalex.org/W3208227120","https://openalex.org/W4280615086","https://openalex.org/W4285234678","https://openalex.org/W4321480060","https://openalex.org/W4367155933","https://openalex.org/W4385567068","https://openalex.org/W4386729890","https://openalex.org/W4397028653","https://openalex.org/W4400261185","https://openalex.org/W4402205551","https://openalex.org/W4403220861","https://openalex.org/W4403220896","https://openalex.org/W4403582730"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Calibration":[0],"is":[1,9],"the":[2,13,21,48,56,120],"degree":[3],"to":[4,11,37,66,71,85],"which":[5],"a":[6,16,25,62,111,132],"recommender":[7],"system":[8],"able":[10],"match":[12],"distribution":[14],"of":[15],"certain":[17],"item":[18],"attribute":[19],"among":[20],"items":[22],"consumed":[23],"by":[24],"user":[26],"with":[27],"their":[28],"respective":[29],"recommendations.Recent":[30],"work":[31,59],"suggests":[32],"that":[33,107],"many":[34],"recommenders":[35,70],"tend":[36],"provide":[38],"miscalibrated":[39],"recommendations.Furthermore,":[40],"most":[41],"approaches":[42],"aimed":[43],"at":[44,55],"improving":[45],"calibration":[46],"adopt":[47],"post-processing":[49,88],"paradigm,":[50],"making":[51,130],"them":[52,73],"computationally":[53],"costly":[54,81],"inference":[57],"time.This":[58],"proposes":[60],"CaliTune,":[61],"fine-tuning":[63],"approach":[64,89],"applied":[65],"collaborative":[67],"filtering":[68],"based":[69],"allow":[72],"generate":[74],"better":[75],"calibrated":[76],"recommendations":[77],"without":[78],"relying":[79],"on":[80,90,102],"post-processing.We":[82],"compare":[83],"CaliTune":[84,108],"an":[86],"established":[87],"two":[91],"backbone":[92,121],"models":[93],"and":[94,98,126],"datasets":[95],"from":[96],"movie":[97],"music":[99],"domains,":[100],"focusing":[101],"popularity":[103],"calibration.Our":[104],"results":[105],"suggest":[106],"can":[109],"offer":[110],"competitive":[112],"accuracy-calibration":[113],"trade-off":[114],"in":[115,136],"several":[116],"settings,":[117],"particularly":[118],"when":[119],"model":[122],"exhibits":[123],"high":[124],"miscalibration":[125],"accuracy":[127],"remains":[128],"important,":[129],"it":[131],"promising":[133],"inference-efficient":[134],"alternative":[135],"such":[137],"cases.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
