{"id":"https://openalex.org/W7153117911","doi":"https://doi.org/10.48550/arxiv.2604.07895","title":"DialBGM: A Benchmark for Background Music Recommendation from Everyday Multi-Turn Dialogues","display_name":"DialBGM: A Benchmark for Background Music Recommendation from Everyday Multi-Turn Dialogues","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153117911","doi":"https://doi.org/10.48550/arxiv.2604.07895"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.07895","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07895","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.07895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057042570","display_name":"Joonhyeok Shin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shin, Joonhyeok","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kang, Jaehoon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang, Jaehoon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049696885","display_name":"Y.J. Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Yujun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742086","display_name":"Hannah Lee","orcid":"https://orcid.org/0009-0000-8143-1096"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Hannah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696637","display_name":"Yejin Lee","orcid":"https://orcid.org/0000-0001-9532-1621"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Yejin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133319389","display_name":"Yoonji Park","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Park, Yoonji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064051041","display_name":"Kyuhong Shim","orcid":"https://orcid.org/0000-0002-0123-3100"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shim, Kyuhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.8934999704360962,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.8934999704360962,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.014299999922513962,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.013399999588727951,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8215000033378601},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.7487999796867371},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5727999806404114},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5573999881744385},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.48410001397132874},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45489999651908875},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4472000002861023}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8215000033378601},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7487999796867371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117000222206116},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5727999806404114},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5573999881744385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5054000020027161},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.48410001397132874},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4472000002861023},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38850000500679016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38839998841285706},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C114611597","wikidata":"https://www.wikidata.org/wiki/Q373342","display_name":"Popular music","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.265500009059906}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.07895","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07895","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.07895","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07895","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Selecting":[0],"an":[1],"appropriate":[2],"background":[3,79],"music":[4,36,45,67],"(BGM)":[5],"that":[6,41,106],"supports":[7],"natural":[8],"human":[9,72,113],"conversation":[10,40],"is":[11],"a":[12,30,38,55,90,127],"common":[13],"production":[14],"step":[15],"in":[16],"media":[17],"and":[18,69,86,95,101,104,137,142],"interactive":[19],"systems.":[20],"In":[21],"this":[22,49],"paper,":[23],"we":[24,52],"introduce":[25],"dialogue-conditioned":[26],"BGM":[27,135],"recommendation,":[28],"where":[29],"model":[31,116],"should":[32],"select":[33],"non-intrusive,":[34],"fitting":[35],"for":[37,130,134,138],"multi-turn":[39],"often":[42],"contains":[43],"no":[44,115],"descriptors.":[46],"To":[47],"study":[48],"novel":[50],"problem,":[51],"present":[53],"DialBGM,":[54],"benchmark":[56,129],"of":[57,93,112],"1,200":[58],"open-domain":[59],"daily":[60],"dialogues,":[61],"each":[62],"paired":[63],"with":[64,71],"four":[65],"candidate":[66],"clips":[68],"annotated":[70],"preference":[73],"rankings.":[74],"Rankings":[75],"are":[76],"determined":[77],"by":[78],"suitability":[80],"criteria,":[81],"including":[82,98],"contextual":[83],"relevance,":[84],"non-intrusiveness,":[85],"consistency.":[87],"We":[88],"evaluate":[89],"wide":[91],"range":[92],"open-source":[94],"proprietary":[96],"models,":[97],"audio-language":[99],"models":[100,108],"multimodal":[102],"LLMs,":[103],"show":[105],"current":[107],"fall":[109],"far":[110],"short":[111],"judgments;":[114],"exceeds":[117],"35%":[118],"Hit@1":[119],"when":[120],"selecting":[121],"the":[122],"top-ranked":[123],"clip.":[124],"DialBGM":[125],"provides":[126],"standardized":[128],"developing":[131],"discourse-aware":[132],"methods":[133],"selection":[136],"evaluating":[139],"both":[140],"retrieval-based":[141],"generative":[143],"models.":[144]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-11T00:00:00"}