{"id":"https://openalex.org/W7171565378","doi":"https://doi.org/10.48550/arxiv.2607.23749","title":"Breaking the Loop: An Empirical Comparison of Strategies for Novelty and Freshness in YouTube Music","display_name":"Breaking the Loop: An Empirical Comparison of Strategies for Novelty and Freshness in YouTube Music","publication_year":2026,"publication_date":"2026-07-26","ids":{"openalex":"https://openalex.org/W7171565378","doi":"https://doi.org/10.48550/arxiv.2607.23749"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.23749","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.23749","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2607.23749","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112264148","display_name":"Srikanth Ranganathan","orcid":"https://orcid.org/0009-0008-1358-2974"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ranganathan, Srivaths","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143780546","display_name":"Zihuan Diao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diao, Zihuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021617028","display_name":"Bernardo Cunha","orcid":"https://orcid.org/0000-0003-4859-6942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cunha, Bernardo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021016566","display_name":"Joshua L. Moore","orcid":"https://orcid.org/0000-0003-2233-2527"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moore, Joshua L.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067092021","display_name":"Robin Dumas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dumas, Robin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018634231","display_name":"Murat G\u00f6ksedef","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goksedef, Murat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132607002","display_name":"Yanwei Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Yanwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143824110","display_name":"Mukai Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Mukai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119556779","display_name":"Gergo Varady","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Varady, Gergo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072312431","display_name":"Tracy Pesin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pesin, Tracy","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":0.15559999644756317,"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":0.15559999644756317,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.07699999958276749,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.06390000134706497,"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/psychological-intervention","display_name":"Psychological intervention","score":0.6920999884605408},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5638999938964844},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5575000047683716},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5246999859809875},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.5081999897956848},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.3986999988555908},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.37450000643730164},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.374099999666214}],"concepts":[{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.6920999884605408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5687000155448914},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5638999938964844},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5575000047683716},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5246999859809875},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.5081999897956848},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3824999928474426},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.3447999954223633},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3402999937534332},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3359000086784363},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.32820001244544983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31150001287460327},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3086000084877014},{"id":"https://openalex.org/C2776538412","wikidata":"https://www.wikidata.org/wiki/Q989963","display_name":"Storytelling","level":3,"score":0.3046000003814697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29580000042915344},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.272599995136261},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C2778173179","wikidata":"https://www.wikidata.org/wiki/Q25339289","display_name":"Attendance","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.23749","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.23749","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.23749","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.23749","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Continuously":[0],"trained":[1,145],"ranking":[2,114],"models":[3],"in":[4,58],"music":[5],"recommenders":[6],"fall":[7],"into":[8],"feedback":[9],"loops":[10],"where":[11],"previously":[12],"consumed":[13],"items":[14,30],"dominate":[15],"recommendations.":[16],"This":[17],"suppresses":[18],"two":[19],"distinct":[20],"content":[21],"classes:":[22],"new":[23],"releases":[24],"(temporal":[25],"freshness)":[26],"and":[27,72,93,126,159,209],"unlistened":[28],"catalog":[29],"(novelty).":[31],"Industry":[32],"practitioners":[33],"have":[34],"a":[35,94,177,193],"wide":[36],"menu":[37],"of":[38,53,213],"interventions":[39,92,111,142,175],"available,":[40],"ranging":[41],"from":[42,79,85,137],"serving-time":[43,141],"heuristics,":[44],"training-data":[45],"reweighting,":[46],"architectural":[47,154],"debiasing,":[48],"to":[49,206],"uncertainty-driven":[50,173],"exploration,":[51],"each":[52,214],"which":[54,204],"are":[55,130,147],"well":[56],"understood":[57],"academic":[59,80],"settings.":[60],"But":[61],"live":[62],"systems":[63,146],"offer":[64],"challenges":[65],"with":[66,176,192,201],"continuously":[67,144],"ingested":[68],"content,":[69],"interconnected":[70],"components,":[71],"practical":[73],"limitations":[74],"that":[75,120],"counteract":[76],"the":[77,106,113,117,150,185,210],"findings":[78],"research.":[81],"We":[82,133,199],"report":[83],"results":[84],"off-policy":[86],"online":[87],"A/B":[88],"tests":[89],"for":[90],"six":[91],"combination":[95],"experiment":[96],"across":[97],"four":[98],"conceptual":[99],"layers":[100],"(serving,":[101],"training,":[102],"architecture,":[103],"exploration)":[104],"on":[105,143,203],"YouTube":[107],"Music":[108],"homepage.":[109],"All":[110],"modify":[112],"model":[115],"or":[116,196],"serving":[118],"layer":[119,205],"consumes":[121],"its":[122],"scores;":[123],"candidate":[124],"generation":[125],"other":[127],"upstream":[128],"components":[129],"held":[131],"fixed.":[132],"discuss":[134],"key":[135],"takeaways":[136],"our":[138],"results:":[139],"first,":[140],"neutralized":[148],"by":[149],"learning":[151],"loop.":[152],"Second,":[153],"debiasing":[155],"reduces":[156],"popularity":[157],"dominance":[158],"improves":[160],"diversity":[161,197],"but":[162],"does":[163],"not":[164],"create":[165],"discovery,":[166],"while":[167],"carrying":[168],"hidden":[169,211],"integration":[170],"costs.":[171],"Finally,":[172],"exploration":[174],"Spectral-normalized":[178],"Neural":[179],"Gaussian":[180],"Process":[181],"(SNGP)":[182],"head":[183],"produce":[184],"largest":[186],"new-release":[187],"lift,":[188],"though":[189],"they":[190],"come":[191],"measurable":[194],"engagement":[195],"tradeoff.":[198],"close":[200],"recommendations":[202],"intervene":[207],"at,":[208],"costs":[212],"choice.":[215]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-07-29T00:00:00"}