{"id":"https://openalex.org/W4399324839","doi":"https://doi.org/10.1108/dta-07-2023-0370","title":"A novel similarity measure SF-IPF for CBKNN with implicit feedback data","display_name":"A novel similarity measure SF-IPF for CBKNN with implicit feedback data","publication_year":2024,"publication_date":"2024-06-04","ids":{"openalex":"https://openalex.org/W4399324839","doi":"https://doi.org/10.1108/dta-07-2023-0370"},"language":"en","primary_location":{"id":"doi:10.1108/dta-07-2023-0370","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-07-2023-0370","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-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/A5007362268","display_name":"Rajalakshmi Sivanaiah","orcid":"https://orcid.org/0000-0003-4658-5465"},"institutions":[{"id":"https://openalex.org/I916357946","display_name":"Sri Sivasubramaniya Nadar College of Engineering","ror":"https://ror.org/054psm803","country_code":null,"type":"education","lineage":["https://openalex.org/I916357946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajalakshmi Sivanaiah","raw_affiliation_strings":["Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0003-4658-5465","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India","institution_ids":["https://openalex.org/I916357946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076991978","display_name":"T. T. Mirnalinee","orcid":"https://orcid.org/0000-0001-6403-3520"},"institutions":[{"id":"https://openalex.org/I916357946","display_name":"Sri Sivasubramaniya Nadar College of Engineering","ror":"https://ror.org/054psm803","country_code":null,"type":"education","lineage":["https://openalex.org/I916357946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mirnalinee T T","raw_affiliation_strings":["Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India","institution_ids":["https://openalex.org/I916357946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099012791","display_name":"Sakaya Milton R","orcid":null},"institutions":[{"id":"https://openalex.org/I916357946","display_name":"Sri Sivasubramaniya Nadar College of Engineering","ror":"https://ror.org/054psm803","country_code":null,"type":"education","lineage":["https://openalex.org/I916357946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sakaya Milton R","raw_affiliation_strings":["Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India","institution_ids":["https://openalex.org/I916357946"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I916357946"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07645886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"58","issue":"5","first_page":"742","last_page":"767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9973000288009644,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9409000277519226,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7530705332756042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7255502343177795},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.609876811504364},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5553426742553711},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5000364780426025},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4707406461238861},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.4418148398399353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4262896478176117},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41856762766838074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36127036809921265},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34768396615982056},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07896155118942261}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7530705332756042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7255502343177795},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.609876811504364},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5553426742553711},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5000364780426025},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4707406461238861},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.4418148398399353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4262896478176117},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41856762766838074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36127036809921265},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34768396615982056},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07896155118942261},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/dta-07-2023-0370","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-07-2023-0370","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1583900290","https://openalex.org/W2013126184","https://openalex.org/W2048657872","https://openalex.org/W2087601404","https://openalex.org/W2228467293","https://openalex.org/W2405295861","https://openalex.org/W2607448014","https://openalex.org/W2764159532","https://openalex.org/W2773861051","https://openalex.org/W2798515028","https://openalex.org/W2801698662","https://openalex.org/W2890097133","https://openalex.org/W2897279445","https://openalex.org/W2947506731","https://openalex.org/W2961214373","https://openalex.org/W2979080995","https://openalex.org/W2987183680","https://openalex.org/W3097244964","https://openalex.org/W3103298186","https://openalex.org/W3116909823","https://openalex.org/W3130911857","https://openalex.org/W3154772915","https://openalex.org/W3185820380","https://openalex.org/W3189351511","https://openalex.org/W4205199194","https://openalex.org/W4206042552","https://openalex.org/W4206714792","https://openalex.org/W4210259420","https://openalex.org/W4211075818","https://openalex.org/W4225565607","https://openalex.org/W4229020960","https://openalex.org/W4283448888","https://openalex.org/W4283781110","https://openalex.org/W4362605893","https://openalex.org/W4379931871","https://openalex.org/W4387671644","https://openalex.org/W4388577409"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Purpose":[0],"The":[1,139,180,213,259],"increasing":[2],"popularity":[3,125],"of":[4,25,54,68,100,126,132,215,261],"music":[5,27,50,84],"streaming":[6,28],"services":[7,15,29],"also":[8],"increases":[9],"the":[10,14,26,52,55,69,75,98,121,157,160,244,248,282,285],"need":[11],"to":[12,19,58,106,155,188,242,280],"customize":[13],"for":[16,35,136],"each":[17],"user":[18,45,245],"attract":[20],"and":[21,96,102,130,168,211,226,252],"retain":[22],"customers.":[23],"Most":[24],"will":[30,38],"not":[31],"have":[32,39,57],"explicit":[33],"ratings":[34],"songs;":[36],"they":[37],"only":[40],"implicit":[41,94,249],"feedback":[42,95,250],"data,":[43],"i.e":[44],"listening":[46,77,123],"history.":[47,78],"For":[48],"efficient":[49],"recommendation,":[51],"preferences":[53,246],"users":[56,70,135,286],"be":[59,72],"infered,":[60],"which":[61,119,231],"is":[62,87,153,254,268,278],"a":[63,82],"challenging":[64],"task.":[65],"Design/methodology/approach":[66],"Preferences":[67],"can":[71],"identified":[73],"from":[74,92,247],"users'":[76,122],"In":[79],"this":[80],"paper,":[81],"hybrid":[83,99,271],"recommendation":[85],"system":[86],"proposed":[88,154,181,216],"that":[89],"infers":[90],"features":[91,141,264],"user's":[93],"uses":[97],"content-based":[101],"collaborative":[103,163,266,288],"filtering":[104,115],"method":[105,239],"recommend":[107],"songs.":[108,138],"A":[109,273],"Content":[110],"Boosted":[111],"K-Nearest":[112],"Neighbours":[113],"(CBKNN)":[114],"technique":[116,183],"was":[117,218,240],"proposed,":[118],"used":[120,175],"history,":[124],"songs,":[127],"song":[128,140],"features,":[129],"songs":[131],"similar":[133,190],"interested":[134],"recommending":[137],"are":[142,174],"taken":[143],"as":[144,176,256],"content":[145,263],"features.":[146],"Song":[147,166],"Frequency\u2013Inverse":[148],"Popularity":[149],"Frequency":[150],"(SF-IPF)":[151],"metric":[152,276],"find":[156],"similarity":[158,186,222,228,275,283],"among":[159],"neighbours":[161,192],"in":[162,230,234,270,287],"filtering.":[164,272,289],"Million":[165],"Dataset":[167],"Echo":[169],"Nest":[170],"Taste":[171],"Profile":[172],"Subset":[173],"data":[177,251],"sets.":[178],"Findings":[179],"CBKNN":[182],"with":[184,220,265],"SF-IPF":[185,217,232,277],"measure":[187],"identify":[189,281],"interest":[191],"performs":[193],"better":[194,235],"than":[195],"other":[196,221],"machine":[197],"learning":[198],"techniques":[199],"like":[200,224],"linear":[201],"regression,":[202],"decision":[203],"trees,":[204],"random":[205],"forest,":[206],"support":[207],"vector":[208],"machines,":[209],"XGboost":[210],"Adaboost.":[212],"performance":[214],"tested":[219],"metrics":[223],"Pearson":[225],"Cosine":[227],"measures,":[229],"results":[233],"performance.":[236],"Originality/value":[237],"This":[238],"devised":[241],"infer":[243],"it":[253],"converted":[255],"rating":[257],"preferences.":[258],"importance":[260],"adding":[262],"information":[267],"analysed":[269],"new":[274],"formulated":[279],"between":[284]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}