{"id":"https://openalex.org/W7217007671","doi":null,"title":"A Survey on Machine Learning Techniques for Movie Recommendation System","display_name":"A Survey on Machine Learning Techniques for Movie Recommendation System","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7217007671"},"language":"en","primary_location":{"id":"pmh:oai:oai.ijcseonline.org:article/5626","doi":null,"is_oa":true,"landing_page_url":"https://ijcseonline.org/index.php/j/article/view/5626","pdf_url":"https://ijcseonline.org/index.php/j/article/download/5626/5610","source":{"id":"https://openalex.org/S4210169770","display_name":"International Journal of Computer Sciences and Engineering","issn_l":"2347-2693","issn":["2347-2693"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323862652","host_organization_name":"ISROSET","host_organization_lineage":["https://openalex.org/P4323862652"],"host_organization_lineage_names":["ISROSET"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2347-2693","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ijcseonline.org/index.php/j/article/download/5626/5610","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5154746310","display_name":"Sushmita Nageshwar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nageshwar, Sushmita","raw_affiliation_strings":["School of Computing & Information Technology, REVA University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing & Information Technology, REVA University, Bangalore, India","institution_ids":["https://openalex.org/I83737708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049456647","display_name":"Laxmi B Rananavare","orcid":"https://orcid.org/0000-0001-5517-5084","observed_orcids":["https://orcid.org/0000-0001-5517-5084"]},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rananavare, Laxmi B","raw_affiliation_strings":["School of Computing & Information Technology, REVA University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing & Information Technology, REVA University, Bangalore, India","institution_ids":["https://openalex.org/I83737708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83737708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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/T14435","display_name":"Information Retrieval and Data Mining","score":0.0,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/movie-recommendation-system","display_name":"movie recommendation system","score":0.847000002861023},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"collaborative filtering","score":0.9860000014305115},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"singular value decomposition","score":0.8899999856948853},{"id":"https://openalex.org/keywords/content-based-filtering","display_name":"content-based filtering","score":0.8119999766349792},{"id":"https://openalex.org/keywords/personalized-recommendation","display_name":"personalized recommendation","score":0.6759999990463257},{"id":"https://openalex.org/keywords/user-similarity","display_name":"user similarity","score":0.7369999885559082},{"id":"https://openalex.org/keywords/data-preprocessing","display_name":"data preprocessing","score":0.6449999809265137}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8812999725341797},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8568000197410583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8033999800682068},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6531000137329102},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5777000188827515},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5626000165939331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.546999990940094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5314000248908997},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.46149998903274536},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4487000107765198},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4480000138282776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4366999864578247},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C178674793","wikidata":"https://www.wikidata.org/wiki/Q6031077","display_name":"Information filtering system","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:oai.ijcseonline.org:article/5626","doi":null,"is_oa":true,"landing_page_url":"https://ijcseonline.org/index.php/j/article/view/5626","pdf_url":"https://ijcseonline.org/index.php/j/article/download/5626/5610","source":{"id":"https://openalex.org/S4210169770","display_name":"International Journal of Computer Sciences and Engineering","issn_l":"2347-2693","issn":["2347-2693"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323862652","host_organization_name":"ISROSET","host_organization_lineage":["https://openalex.org/P4323862652"],"host_organization_lineage_names":["ISROSET"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2347-2693","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:oai.ijcseonline.org:article/5626","doi":null,"is_oa":true,"landing_page_url":"https://ijcseonline.org/index.php/j/article/view/5626","pdf_url":"https://ijcseonline.org/index.php/j/article/download/5626/5610","source":{"id":"https://openalex.org/S4210169770","display_name":"International Journal of Computer Sciences and Engineering","issn_l":"2347-2693","issn":["2347-2693"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323862652","host_organization_name":"ISROSET","host_organization_lineage":["https://openalex.org/P4323862652"],"host_organization_lineage_names":["ISROSET"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2347-2693","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7217007671.pdf","grobid_xml":"https://content.openalex.org/works/W7217007671.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2388716819","https://openalex.org/W4400697497","https://openalex.org/W3166774926","https://openalex.org/W7216155726","https://openalex.org/W3180016514","https://openalex.org/W4387253249","https://openalex.org/W4323649546","https://openalex.org/W4403124874","https://openalex.org/W2980343959","https://openalex.org/W3155998606"],"abstract_inverted_index":{"Study":[0],"includes":[1],"information":[2],"about":[3,65],"the":[4,15,28,32,40,78,85,93,96,111,145,152,156,161],"recommendation":[5,55,112,136],"system":[6,12],"using":[7,44,118],"Machine":[8],"Leaning.":[9],"The":[10,42,87,114],"Recommendation":[11],"could":[13],"recommend":[14],"whole":[16],"thing":[17],"from":[18,31],"songs,":[19],"movies,":[20],"jokes,":[21],"restaurants":[22],"with":[23],"rankings.":[24],"That":[25],"may":[26],"collect":[27],"relevant":[29,37],"data":[30],"web.":[33],"And":[34,138],"give":[35,62],"a":[36,45,50,72,120],"outcome":[38],"to":[39,158],"user.":[41],"author":[43,94],"Collaborative":[46,59,106,121],"Filtering":[47,60,122],"technique":[48],"is":[49,116],"basic":[51],"path":[52],"of":[53,74,77,90,98,125,141,144],"any":[54],"System.":[56],"But":[57],"only":[58],"cannot":[61],"sufficient":[63],"result":[64],"scalability":[66],"and":[67,69,81,133,147],"accuracy":[68],"also":[70],"provide":[71],"computation":[73],"sample":[75],"value":[76],"evaluation":[79],"prediction":[80],"measures":[82],"for":[83,119],"evaluating":[84],"algorithm.":[86],"major":[88],"consciousness":[89],"this":[91,139],"paper,":[92],"provides":[95],"methodology":[97],"Data":[99],"Pre-processing,":[100],"Singular":[101],"Value":[102],"Decomposition":[103],"(SVD),":[104],"Content-based":[105],"filtering":[107],"algorithm":[108],"based":[109,127,149],"on":[110,129,155],"system.":[113,137],"similarity":[115],"determined":[117],"(CF)":[123],"set":[124],"rules":[126],"totally":[128,150],"person":[130],"similarity,":[131],"behaviour":[132],"personalized":[134],"movie":[135],"consists":[140],"an":[142],"analysis":[143],"outcomes":[146],"conclusions":[148],"at":[151],"simulations":[153],"executed":[154],"computer":[157],"assess":[159],"how":[160],"algorithms":[162],"work.":[163]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2026-10-03T00:00:00"}