{"id":"https://openalex.org/W1989318262","doi":"https://doi.org/10.1145/2339530.2339643","title":"Playlist prediction via metric embedding","display_name":"Playlist prediction via metric embedding","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W1989318262","doi":"https://doi.org/10.1145/2339530.2339643","mag":"1989318262"},"language":"en","primary_location":{"id":"doi:10.1145/2339530.2339643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5100366855","display_name":"Shuo Chen","orcid":"https://orcid.org/0000-0002-0257-1240"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shuo Chen","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040550166","display_name":"Josh L. Moore","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josh L. Moore","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005989028","display_name":"Douglas Turnbull","orcid":"https://orcid.org/0009-0001-7252-1855"},"institutions":[{"id":"https://openalex.org/I87424562","display_name":"Ithaca College","ror":"https://ror.org/01kw1gj07","country_code":"US","type":"education","lineage":["https://openalex.org/I87424562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas Turnbull","raw_affiliation_strings":["Ithaca College, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Ithaca College, Ithaca, NY, USA","institution_ids":["https://openalex.org/I87424562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014687727","display_name":"Thorsten Joachims","orcid":"https://orcid.org/0000-0003-3654-3683"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thorsten Joachims","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100366855"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":8.6704,"has_fulltext":false,"cited_by_count":279,"citation_normalized_percentile":{"value":0.98793354,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"714","last_page":"722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8077549338340759},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.702224850654602},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5508772730827332},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5451133251190186},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5256561040878296},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5256092548370361},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4847678542137146},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46252140402793884},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.45014268159866333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44012191891670227},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40010300278663635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3718944191932678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8077549338340759},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.702224850654602},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5508772730827332},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5451133251190186},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5256561040878296},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5256092548370361},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4847678542137146},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46252140402793884},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.45014268159866333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44012191891670227},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40010300278663635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3718944191932678},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/2339530.2339643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.ithaca.edu:scopus_articles-2107","is_oa":false,"landing_page_url":"https://digitalcommons.ithaca.edu/scopus_articles/1108","pdf_url":null,"source":{"id":"https://openalex.org/S4377196817","display_name":"Digital Collections - Ithaca College Library (Ithaca College)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I87424562","host_organization_name":"Ithaca College","host_organization_lineage":["https://openalex.org/I87424562"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Articles Indexed in Scopus","raw_type":"text"},{"id":"pmh:oai:digitalcommons.ithaca.edu:scopus_articles-2233","is_oa":false,"landing_page_url":"https://digitalcommons.ithaca.edu/scopus_articles/1234","pdf_url":null,"source":{"id":"https://openalex.org/S4377196817","display_name":"Digital Collections - Ithaca College Library (Ithaca College)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I87424562","host_organization_name":"Ithaca College","host_organization_lineage":["https://openalex.org/I87424562"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Articles Indexed in Scopus","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.639.8768","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.8768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cornell.edu/~shuochen/pubs/kdd12_chen.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.643.1587","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.1587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cornell.edu/people/tj/publications/chen_etal_12a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7599999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W90566163","https://openalex.org/W138579575","https://openalex.org/W145820976","https://openalex.org/W182831726","https://openalex.org/W291184432","https://openalex.org/W1492061079","https://openalex.org/W1825640910","https://openalex.org/W1841959837","https://openalex.org/W1989445502","https://openalex.org/W2027913476","https://openalex.org/W2054141820","https://openalex.org/W2083383166","https://openalex.org/W2104895009","https://openalex.org/W2110880609","https://openalex.org/W2125838338","https://openalex.org/W2135790056","https://openalex.org/W2138153286","https://openalex.org/W2158139921","https://openalex.org/W2171279286","https://openalex.org/W2295247772","https://openalex.org/W2398680681","https://openalex.org/W4252316495","https://openalex.org/W6607467106","https://openalex.org/W6629466129","https://openalex.org/W6680315907","https://openalex.org/W6683338658","https://openalex.org/W6697152727","https://openalex.org/W6834473044"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W2202724490"],"abstract_inverted_index":{"Digital":[0],"storage":[1],"of":[2,30,38,108,138],"personal":[3],"music":[4,8,17,33],"collections":[5],"and":[6,114],"cloud-based":[7],"services":[9],"(e.g.":[10],"Pandora,":[11],"Spotify)":[12],"have":[13,25],"fundamentally":[14],"changed":[15],"how":[16,116],"is":[18,42,132],"consumed.":[19],"In":[20,52,69],"particular,":[21],"automatically":[22],"generated":[23],"playlists":[24],"become":[26],"an":[27],"important":[28],"mode":[29],"accessing":[31],"large":[32],"collections.":[34],"The":[35],"key":[36],"goal":[37],"automated":[39],"playlist":[40],"generation":[41],"to":[43,71,84],"provide":[44],"the":[45,78,117,130],"user":[46],"with":[47],"a":[48,61,89,94,104],"coherent":[49],"listening":[50],"experience.":[51],"this":[53,101],"paper,":[54],"we":[55],"present":[56],"Latent":[57],"Markov":[58,109],"Embedding":[59],"(LME),":[60],"machine":[62],"learning":[63],"algorithm":[64,79],"for":[65,75],"generating":[66],"such":[67],"playlists.":[68,98],"analogy":[70],"matrix":[72],"factorization":[73],"methods":[74],"collaborative":[76],"filtering,":[77],"does":[80],"not":[81],"require":[82],"songs":[83],"be":[85,122],"described":[86],"by":[87],"features":[88],"priori,":[90],"but":[91],"it":[92],"learns":[93],"representation":[95],"from":[96],"example":[97],"We":[99],"formulate":[100],"problem":[102,120],"as":[103],"regularized":[105],"maximum-likelihood":[106],"embedding":[107],"chains":[110],"in":[111,144],"Euclidian":[112],"space,":[113],"show":[115],"resulting":[118],"optimization":[119],"can":[121],"solved":[123],"efficiently.":[124],"An":[125],"empirical":[126],"evaluation":[127],"shows":[128],"that":[129],"LME":[131],"substantially":[133],"more":[134],"accurate":[135],"than":[136],"adaptations":[137],"smoothed":[139],"n-gram":[140],"models":[141],"commonly":[142],"used":[143],"natural":[145],"language":[146],"processing.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":43},{"year":2018,"cited_by_count":33},{"year":2017,"cited_by_count":33},{"year":2016,"cited_by_count":31},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}