{"id":"https://openalex.org/W2360078631","doi":null,"title":"GPU-based parallel collaborative filtering algorithm","display_name":"GPU-based parallel collaborative filtering algorithm","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2360078631","mag":"2360078631"},"language":"en","primary_location":{"id":"mag:2360078631","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSYJ201309023.htm","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5088160732","display_name":"Han Pang Huang","orcid":"https://orcid.org/0000-0003-1617-4147","observed_orcids":["https://orcid.org/0000-0003-1617-4147"]},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Huang","raw_affiliation_strings":["School of Computer Science,Dongguan College of Technology,Dongguan Guangdong 523808,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science,Dongguan College of Technology,Dongguan Guangdong 523808,China)","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088160732"],"corresponding_institution_ids":["https://openalex.org/I2799850029"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"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":0.9419000148773193,"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":0.9419000148773193,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.04439999908208847,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/collaborative-filtering","display_name":"collaborative filtering","score":0.9959999918937683},{"id":"https://openalex.org/keywords/gpu-computing","display_name":"GPU computing","score":0.9369999766349792},{"id":"https://openalex.org/keywords/parallel-algorithms","display_name":"parallel algorithms","score":0.8370000123977661},{"id":"https://openalex.org/keywords/scalability","display_name":"scalability","score":0.7950000166893005},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.7020000219345093},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.7179999947547913},{"id":"https://openalex.org/keywords/large-scale-datasets","display_name":"large-scale datasets","score":0.6959999799728394},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.8360000252723694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9247817397117615},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.8227506875991821},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.7890985012054443},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7683309316635132},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7085244655609131},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6418269276618958},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48331332206726074},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.4636586308479309},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41515886783599854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39543989300727844},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3209790587425232},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2772449553012848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12678059935569763},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1073259711265564},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06687787175178528},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2360078631","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSYJ201309023.htm","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2026056737","https://openalex.org/W2030551598","https://openalex.org/W2076822917","https://openalex.org/W2918583724","https://openalex.org/W2542809295","https://openalex.org/W2141561953","https://openalex.org/W2215313867","https://openalex.org/W2037518952","https://openalex.org/W2807581472","https://openalex.org/W3120226788"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,66],"improve":[3],"the":[4,37,43,47,61,68],"scalability":[5],"of":[6,14,39,46],"collaborative":[7,18,40,51],"filtering":[8,52],"algorithm,this":[9],"paper":[10],"provided":[11],"an":[12],"algorithm":[13,62],"GPU":[15,48],"based":[16,49],"parallel":[17,50],"filtering.GPU":[19],"used":[20],"single":[21],"instruction":[22],"multiple":[23],"data(SIMD),and":[24],"was":[25,35],"proper":[26],"for":[27],"calculating":[28],"weak":[29],"logic":[30],"and":[31,53],"large":[32],"amount":[33],"data,which":[34],"exactly":[36],"features":[38],"filtering.It":[41],"designed":[42],"whole":[44],"procedure":[45],"implemented":[54],"it":[55],"using":[56],"CUDA.The":[57],"experimental":[58],"results":[59],"show":[60],"is":[63],"very":[64],"efficient":[65],"process":[67],"large-scale":[69],"datasets":[70],"with":[71],"good":[72],"accuracy.":[73]},"counts_by_year":[],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}