{"id":"https://openalex.org/W2002591046","doi":"https://doi.org/10.1145/2791405.2791406","title":"RosyRecommends","display_name":"RosyRecommends","publication_year":2015,"publication_date":"2015-08-10","ids":{"openalex":"https://openalex.org/W2002591046","doi":"https://doi.org/10.1145/2791405.2791406","mag":"2002591046"},"language":"en","primary_location":{"id":"doi:10.1145/2791405.2791406","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2791405.2791406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Women in Computing and Informatics","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/A5033929974","display_name":"Adarsh Jois","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adarsh Jois","raw_affiliation_strings":["Courant Institute of Mathematical Sciences, Department of Computer Science, New York University","Courant Institute of Mathematical Sciences, Department of Computer Science, New York University#TAB#"],"affiliations":[{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, Department of Computer Science, New York University","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, Department of Computer Science, New York University#TAB#","institution_ids":["https://openalex.org/I36672615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050024610","display_name":"Jasmine Hsu","orcid":"https://orcid.org/0000-0002-2342-8312"},"institutions":[{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jasmine Hsu","raw_affiliation_strings":["Courant Institute of Mathematical Sciences, Department of Computer Science, New York University","Courant Institute of Mathematical Sciences, Department of Computer Science, New York University#TAB#"],"affiliations":[{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, Department of Computer Science, New York University","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, Department of Computer Science, New York University#TAB#","institution_ids":["https://openalex.org/I36672615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033929974"],"corresponding_institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06906192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"371","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9944000244140625,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8110872507095337},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7944539785385132},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6721446514129639},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6473716497421265},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6425684690475464},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5538983941078186},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4910738468170166},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4617950916290283},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4546807110309601},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.421598345041275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4052485227584839},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3896941840648651},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3758879005908966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110872507095337},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7944539785385132},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6721446514129639},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6473716497421265},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6425684690475464},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5538983941078186},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4910738468170166},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4617950916290283},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4546807110309601},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.421598345041275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4052485227584839},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3896941840648651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3758879005908966},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2791405.2791406","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2791405.2791406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Women in Computing and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1556219185","https://openalex.org/W2062826588","https://openalex.org/W2110325612","https://openalex.org/W2133824856","https://openalex.org/W2171960770","https://openalex.org/W2405295861","https://openalex.org/W4205903810","https://openalex.org/W4246685044"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W3014393615"],"abstract_inverted_index":{"The":[0,40,89],"objective":[1],"of":[2,11,59,96,98,140],"this":[3],"paper":[4],"is":[5],"to":[6,23,64,74,85,127],"propose":[7],"a":[8,57,62,79,94,125,132,146],"novel":[9],"way":[10],"analyzing":[12],"user":[13,63],"behavior":[14],"through":[15],"collaborative":[16,72],"filtering":[17,73],"techniques.":[18],"We":[19,69],"have":[20,21,78,124],"chosen":[22],"work":[24],"with":[25],"the":[26,33,54,86,137],"Million":[27],"Song":[28],"Dataset":[29,37],"(item-based":[30],"data)":[31],"and":[32,111],"EchoNest":[34],"Taste":[35],"Profile":[36],"(user-based":[38],"data).":[39],"item-based":[41],"dataset":[42],"was":[43,67,105],"aggregated":[44],"by":[45,107],"applying":[46],"k-means":[47],"clustering":[48],"on":[49,93],"audio":[50],"MFCCs.":[51],"Upon":[52],"grouping":[53],"items":[55],"into":[56],"set":[58],"k":[60],"clusters,":[61],"cluster":[65],"mapping":[66],"generated.":[68],"then":[70],"used":[71],"examine":[75],"if":[76],"users":[77,104,122],"predilection":[80,126],"towards":[81],"songs":[82,128],"that":[83,121,129],"belong":[84],"same":[87],"cluster.":[88,133],"experiments":[90,119],"were":[91],"performed":[92,106],"range":[95],"number":[97],"clusters.":[99],"Computing":[100],"cluster-based":[101],"similarity":[102,116],"between":[103],"thresholding":[108],"neighborhood":[109],"size":[110],"various":[112],"parameters":[113],"for":[114],"common":[115],"metrics.":[117],"Our":[118],"show":[120],"do":[123],"occur":[130],"within":[131],"This":[134],"serves":[135],"as":[136],"experimental":[138],"basis":[139],"our":[141],"proposed":[142],"method":[143],"in":[144],"augmenting":[145],"recommendation":[147],"engine.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}