{"id":"https://openalex.org/W3211622122","doi":"https://doi.org/10.1155/2021/2592604","title":"Novel Multidimensional Collaborative Filtering Algorithm Based on Improved Item Rating Prediction","display_name":"Novel Multidimensional Collaborative Filtering Algorithm Based on Improved Item Rating Prediction","publication_year":2021,"publication_date":"2021-11-05","ids":{"openalex":"https://openalex.org/W3211622122","doi":"https://doi.org/10.1155/2021/2592604","mag":"3211622122"},"language":"en","primary_location":{"id":"doi:10.1155/2021/2592604","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2592604","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/2592604.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/2592604.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005897867","display_name":"Tongyan Li","orcid":"https://orcid.org/0000-0002-3741-4026"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tongyan Li","raw_affiliation_strings":["Chengdu University of Information Technology, Department of Communication Engineering, Chengdu 610225, China"],"raw_orcid":"https://orcid.org/0000-0002-3741-4026","affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Department of Communication Engineering, Chengdu 610225, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102023834","display_name":"Yingxiang Li","orcid":"https://orcid.org/0000-0002-6740-6676"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxiang Li","raw_affiliation_strings":["Chengdu University of Information Technology, Department of Communication Engineering, Chengdu 610225, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Department of Communication Engineering, Chengdu 610225, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728316","display_name":"Yi\u2010Ping Phoebe Chen","orcid":"https://orcid.org/0000-0002-4122-3767"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chen Yi-Ping Phoebe","raw_affiliation_strings":["Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC 3086, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC 3086, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005897867"],"corresponding_institution_ids":["https://openalex.org/I24201400"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":0.5608,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74657249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9513000249862671,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9405999779701233,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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":0.8802096843719482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7853648662567139},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6089086532592773},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.577231228351593},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5687199234962463},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5124014019966125},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5083693861961365},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4339371919631958},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43174445629119873},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.42694586515426636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3848954439163208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3722366392612457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1258600354194641}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8802096843719482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853648662567139},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6089086532592773},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.577231228351593},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5687199234962463},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5124014019966125},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5083693861961365},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4339371919631958},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43174445629119873},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.42694586515426636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3848954439163208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3722366392612457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1258600354194641},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1155/2021/2592604","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2592604","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/2592604.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:doi:10.26181/19142645","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:doaj.org/article:d8398f96965444fcb55190d7cdfb23b2","is_oa":true,"landing_page_url":"https://doaj.org/article/d8398f96965444fcb55190d7cdfb23b2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/19142645","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Novel_Multidimensional_Collaborative_Filtering_Algorithm_Based_on_Improved_Item_Rating_Prediction/19142645","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.26181/19142645.v1","is_oa":true,"landing_page_url":"https://doi.org/10.26181/19142645.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407052018","display_name":"La Trobe University","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.1155/2021/2592604","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2592604","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/2592604.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1847390628","display_name":null,"funder_award_id":"QXXCSYS201705","funder_id":"https://openalex.org/F4320322990","funder_display_name":"Sichuan University"},{"id":"https://openalex.org/G336639720","display_name":null,"funder_award_id":"QXXCSYS201705","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211622122.pdf","grobid_xml":"https://content.openalex.org/works/W3211622122.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1576240472","https://openalex.org/W1791963397","https://openalex.org/W2073615715","https://openalex.org/W2110325612","https://openalex.org/W2274674922","https://openalex.org/W2403928019","https://openalex.org/W2564282078","https://openalex.org/W2597121862","https://openalex.org/W2788942989","https://openalex.org/W2790385355","https://openalex.org/W2799784776","https://openalex.org/W2811018197","https://openalex.org/W2911028847","https://openalex.org/W2941921672","https://openalex.org/W2950332743","https://openalex.org/W2955643978","https://openalex.org/W2995634787","https://openalex.org/W3087608733","https://openalex.org/W3105195262","https://openalex.org/W3118872470","https://openalex.org/W3119050726","https://openalex.org/W3126805253","https://openalex.org/W3129110721","https://openalex.org/W3136756278","https://openalex.org/W3158068521","https://openalex.org/W3163731277","https://openalex.org/W3164997215"],"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/W3014393615","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Current":[0],"data":[1,24,31,48,168],"has":[2,192],"the":[3,15,45,51,95,104,114,129,146,157,163,172,189,193],"characteristics":[4],"of":[5,23,47,86,106,148,159,195],"complexity":[6,46],"and":[7,110,126,162,199],"low":[8,42],"information":[9,16],"density,":[10],"which":[11,38,135],"can":[12,166],"be":[13,182],"called":[14],"sparse":[17,30],"data.":[18],"However,":[19],"a":[20,70,84],"large":[21],"amount":[22],"makes":[25],"it":[26,93],"difficult":[27],"to":[28,41,62,97,102,118,140,181],"analyse":[29],"with":[32,178],"traditional":[33,130],"collaborative":[34,72],"filtering":[35,73],"recommendation":[36,197,201],"algorithms,":[37],"may":[39],"lead":[40],"accuracy.":[43,202],"Meanwhile,":[44],"means":[49],"that":[50,88,188],"recommended":[52],"environment":[53],"is":[54],"affected":[55],"by":[56],"multiple":[57],"dimensional":[58],"factors.":[59,142],"In":[60,143],"order":[61],"solve":[63,167],"these":[64],"problems":[65],"efficiently,":[66],"our":[67],"paper":[68],"proposes":[69],"multidimensional":[71,141,164],"algorithm":[74,82,191],"based":[75,152],"on":[76,128,153],"improved":[77],"item":[78,131],"rating":[79,132,160],"prediction.":[80],"The":[81,184],"considers":[83,136],"variety":[85],"factors":[87,151,177],"affect":[89],"user":[90,115,137],"ratings;":[91],"then,":[92],"uses":[94],"penalty":[96],"account":[98,121],"for":[99,113],"users\u2019":[100],"popularity":[101],"calculate":[103],"degree":[105],"similarity":[107],"between":[108],"users":[109],"cross-iterative":[111],"bi-clustering":[112],"scoring":[116],"matrix":[117],"take":[119],"into":[120],"changes":[122],"in":[123],"user\u2019s":[124],"preferences":[125],"improves":[127,156],"prediction":[133],"algorithm,":[134,145],"ratings":[138],"according":[139],"this":[144],"introduction":[147],"systematic":[149],"error":[150,198],"statistical":[154],"learning":[155],"accuracy":[158],"prediction,":[161],"method":[165],"sparsity":[169],"problems,":[170],"enabling":[171],"strongest":[173],"relevant":[174],"dimension":[175],"influencing":[176],"association":[179],"rules":[180],"found.":[183],"experiment":[185],"results":[186],"show":[187],"proposed":[190],"advantages":[194],"smaller":[196],"higher":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}
