{"id":"https://openalex.org/W3211053429","doi":"https://doi.org/10.1109/icccnt51525.2021.9579848","title":"Deep Collaborative Filtering based Recommendation System","display_name":"Deep Collaborative Filtering based Recommendation System","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3211053429","doi":"https://doi.org/10.1109/icccnt51525.2021.9579848","mag":"3211053429"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5029223982","display_name":"Rashmi Negi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rashmi Negi","raw_affiliation_strings":["IT College of Engineering, Pune"],"affiliations":[{"raw_affiliation_string":"IT College of Engineering, Pune","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061207834","display_name":"Archana B. Patil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Archana B. Patil","raw_affiliation_strings":["IT College of Engineering, Pune"],"affiliations":[{"raw_affiliation_string":"IT College of Engineering, Pune","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029223982"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24942392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9815999865531921,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9660000205039978,"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/movielens","display_name":"MovieLens","score":0.9626021981239319},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8873063325881958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8215352892875671},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8059573769569397},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8015729188919067},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6234990954399109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6104874610900879},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.5971264243125916},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.5251768827438354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4910016357898712},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4851430356502533},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4617469608783722},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4372524917125702},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3933217525482178},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13397422432899475}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.9626021981239319},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8873063325881958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215352892875671},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8059573769569397},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8015729188919067},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6234990954399109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6104874610900879},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.5971264243125916},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.5251768827438354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4910016357898712},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4851430356502533},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4617469608783722},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4372524917125702},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3933217525482178},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13397422432899475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5400000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W138579575","https://openalex.org/W1486317198","https://openalex.org/W1530276735","https://openalex.org/W1720514416","https://openalex.org/W1999531283","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2076566842","https://openalex.org/W2099866409","https://openalex.org/W2108630796","https://openalex.org/W2110325612","https://openalex.org/W2137245235","https://openalex.org/W2159052453","https://openalex.org/W2162111811","https://openalex.org/W2171960770","https://openalex.org/W2512971201","https://openalex.org/W2583674722","https://openalex.org/W2605350416","https://openalex.org/W2614794251","https://openalex.org/W2743992351","https://openalex.org/W2786146442","https://openalex.org/W2950332743","https://openalex.org/W2965805264","https://openalex.org/W3014972541","https://openalex.org/W3047015567","https://openalex.org/W6605678930","https://openalex.org/W6650120342","https://openalex.org/W6680451568","https://openalex.org/W6742379965"],"related_works":["https://openalex.org/W2797500822","https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W2986679525","https://openalex.org/W2754180489","https://openalex.org/W2968620972","https://openalex.org/W4283711282","https://openalex.org/W2619927053","https://openalex.org/W2803809721","https://openalex.org/W2116802659"],"abstract_inverted_index":{"A":[0],"recommendation":[1,58],"system":[2],"seeks":[3],"to":[4,8,50,55],"make":[5],"relevant":[6],"suggestions":[7,37],"users":[9],"based":[10],"on":[11,85],"their":[12],"individual":[13],"preferences.":[14],"It":[15],"primarily":[16],"analyses":[17],"existing":[18],"data":[19],"and":[20,35,107],"identifies":[21],"latent":[22],"patterns":[23,30],"within":[24],"the":[25,65,70,73,81],"same.":[26],"Based":[27],"upon":[28],"these":[29],"user":[31],"behaviour":[32],"is":[33],"predicted":[34],"thereby,":[36],"are":[38],"offered.":[39],"In":[40],"this":[41,91],"paper,":[42],"a":[43,51,57,96],"collaborative":[44],"filtering":[45],"approach":[46],"has":[47],"been":[48],"applied":[49],"deep":[52],"learning":[53],"model":[54,74,82,92],"develop":[56],"system.":[59],"An":[60],"autoencoder":[61],"was":[62,83,93],"exercised":[63],"as":[64],"fundamental":[66],"building":[67],"block":[68],"in":[69],"construction":[71],"of":[72],"architecture.":[75],"To":[76],"achieve":[77],"working":[78],"functionality":[79],"first,":[80],"trained":[84],"two":[86],"datasets":[87],"from":[88],"movielens.":[89],"Next,":[90],"compared":[94,106],"against":[95],"Restricted":[97],"Boltzmann":[98],"Machine":[99],"run":[100],"model.":[101],"The":[102],"results":[103],"were":[104],"then":[105],"analysed.":[108]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}