{"id":"https://openalex.org/W2799155063","doi":"https://doi.org/10.1145/3209978.3210049","title":"Understanding and Evaluating User Satisfaction with Music Discovery","display_name":"Understanding and Evaluating User Satisfaction with Music Discovery","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2799155063","doi":"https://doi.org/10.1145/3209978.3210049","mag":"2799155063"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3210049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022239852","display_name":"Jean Garcia-Gathright","orcid":"https://orcid.org/0009-0001-5550-640X"},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jean Garcia-Gathright","raw_affiliation_strings":["Spotify, Somerville, MA, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, Somerville, MA, USA","institution_ids":["https://openalex.org/I4210122154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109908110","display_name":"B.S. Thomas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian St. Thomas","raw_affiliation_strings":["Spotify, Somerville, MA, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, Somerville, MA, USA","institution_ids":["https://openalex.org/I4210122154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091600805","display_name":"Christine Hosey","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christine Hosey","raw_affiliation_strings":["Spotify, Somerville, MA, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, Somerville, MA, USA","institution_ids":["https://openalex.org/I4210122154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067002223","display_name":"Zahra Nazari","orcid":"https://orcid.org/0000-0002-3832-8840"},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zahra Nazari","raw_affiliation_strings":["Spotify, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, New York, NY, USA","institution_ids":["https://openalex.org/I4210122154"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101492251","display_name":"Fernando D\u00edaz","orcid":"https://orcid.org/0000-0003-2345-1288"},"institutions":[{"id":"https://openalex.org/I4402554038","display_name":"Microsoft Research Montr\u00e9al (Canada)","ror":"https://ror.org/05xdft911","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4402554038"]},{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fernando Diaz","raw_affiliation_strings":["Microsoft Research, Montreal, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I4210153468","https://openalex.org/I4402554038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022239852"],"corresponding_institution_ids":["https://openalex.org/I4210122154"],"apc_list":null,"apc_paid":null,"fwci":2.2981,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.91529386,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9914000034332275,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9914000034332275,"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/T11309","display_name":"Music and Audio Processing","score":0.9901999831199646,"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":0.9884999990463257,"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/active-listening","display_name":"Active listening","score":0.7459396719932556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7091118097305298},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6229318380355835},{"id":"https://openalex.org/keywords/user-satisfaction","display_name":"User satisfaction","score":0.5425413846969604},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4745236933231354},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.47175318002700806},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45555245876312256},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4114604890346527},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39599770307540894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18289893865585327},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15355375409126282}],"concepts":[{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.7459396719932556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091118097305298},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6229318380355835},{"id":"https://openalex.org/C3017893058","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"User satisfaction","level":2,"score":0.5425413846969604},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4745236933231354},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.47175318002700806},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45555245876312256},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4114604890346527},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39599770307540894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18289893865585327},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15355375409126282},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3209978.3210049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1967787801","https://openalex.org/W1971040550","https://openalex.org/W1977343123","https://openalex.org/W1998546380","https://openalex.org/W2001770437","https://openalex.org/W2011700584","https://openalex.org/W2055814397","https://openalex.org/W2110005793","https://openalex.org/W2123937625","https://openalex.org/W2132561541","https://openalex.org/W2135114864","https://openalex.org/W2138216384","https://openalex.org/W2144807535","https://openalex.org/W2146691185","https://openalex.org/W2158609873","https://openalex.org/W2161676175","https://openalex.org/W2171392812","https://openalex.org/W2171708662","https://openalex.org/W2218578097","https://openalex.org/W2221226130","https://openalex.org/W2295235328","https://openalex.org/W2295598076","https://openalex.org/W2329395632","https://openalex.org/W2401070916","https://openalex.org/W2401515327","https://openalex.org/W2509860763","https://openalex.org/W2622256048","https://openalex.org/W2732454496","https://openalex.org/W2789399993","https://openalex.org/W3102476541","https://openalex.org/W3121647711"],"related_works":["https://openalex.org/W2373303320","https://openalex.org/W2334323075","https://openalex.org/W4246426965","https://openalex.org/W2375657268","https://openalex.org/W2328056206","https://openalex.org/W2735382589","https://openalex.org/W2393839369","https://openalex.org/W2883555950","https://openalex.org/W2380189777","https://openalex.org/W2380248763"],"abstract_inverted_index":{"We":[0,26,84,105],"study":[1],"the":[2,13,24,48,73],"use":[3,85],"and":[4,17,38,43,54,117,133,157,168,174],"evaluation":[5,145],"of":[6,15,50,93,146],"a":[7,28,79,90,101],"system":[8],"for":[9,82,126,143],"supporting":[10],"music":[11,102],"discovery,":[12],"experience":[14,142],"finding":[16],"listening":[18,68],"to":[19,23,41,63,69,88,172],"content":[20],"previously":[21],"unknown":[22],"user.":[25],"adopt":[27],"mixed":[29],"methods":[30],"approach,":[31],"including":[32],"interviews,":[33],"unsupervised":[34],"learning,":[35],"survey":[36,55],"research,":[37],"statistical":[39,91],"modeling,":[40],"understand":[42],"evaluate":[44],"user":[45,94,128,141,164],"satisfaction":[46,95],"in":[47,72,140],"context":[49],"discovery.":[51],"User":[52],"interviews":[53],"data":[56],"show":[57,106],"that":[58,107,137],"users'":[59,109],"behaviors":[60],"change":[61],"according":[62],"their":[64,111,114,118,169],"goals,":[65,110],"such":[66],"as":[67,78],"recommended":[70],"tracks":[71,123],"moment,":[74],"or":[75],"using":[76],"recommendations":[77],"starting":[80],"point":[81],"exploration.":[83],"these":[86],"findings":[87],"develop":[89],"model":[92],"at":[96],"scale":[97],"from":[98,113,154],"interactions":[99,120],"with":[100,152,166],"streaming":[103],"platform.":[104],"capturing":[108],"deviations":[112],"usual":[115],"behavior,":[116],"peak":[119],"on":[121],"individual":[122],"are":[124,138],"informative":[125],"estimating":[127],"satisfaction.":[129],"Finally,":[130],"we":[131],"present":[132],"validate":[134],"heuristic":[135],"metrics":[136],"grounded":[139],"online":[144],"recommendation":[147],"performance.":[148],"Our":[149],"findings,":[150],"supported":[151],"evidence":[153],"both":[155],"qualitative":[156],"quantitative":[158],"studies,":[159],"reveal":[160],"new":[161],"insights":[162],"about":[163],"expectations":[165],"discovery":[167],"behavioral":[170],"responses":[171],"satisfying":[173],"dissatisfying":[175],"systems.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}