{"id":"https://openalex.org/W3094706713","doi":"https://doi.org/10.1109/access.2020.3035703","title":"Improved Collaborative Filtering Recommendation Through Similarity Prediction","display_name":"Improved Collaborative Filtering Recommendation Through Similarity Prediction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3094706713","doi":"https://doi.org/10.1109/access.2020.3035703","mag":"3094706713"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3035703","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3035703","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09247214.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09247214.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047689670","display_name":"Nima Joorabloo","orcid":"https://orcid.org/0000-0001-8322-7857"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nima Joorabloo","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8322-7857","affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030903468","display_name":"Mahdi Jalili","orcid":"https://orcid.org/0000-0002-0517-9420"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mahdi Jalili","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0517-9420","affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039040673","display_name":"Yongli Ren","orcid":"https://orcid.org/0000-0002-3137-9653"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yongli Ren","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3137-9653","affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047689670"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.062,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93142538,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"202122","last_page":"202132"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9672999978065491,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9634000062942505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.9010646343231201},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.8026702404022217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7788078784942627},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6886322498321533},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6795225143432617},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6633210182189941},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5867619514465332},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5621168613433838},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5240100622177124},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.44031578302383423},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3800489008426666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37990620732307434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36404114961624146}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.9010646343231201},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8026702404022217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7788078784942627},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6886322498321533},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6795225143432617},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6633210182189941},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5867619514465332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5621168613433838},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5240100622177124},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.44031578302383423},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3800489008426666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37990620732307434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36404114961624146},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2020.3035703","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3035703","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09247214.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:alma61RMIT.INST:11271252960001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ACCESS.2020.3035703","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:51e2e489d739400c8f249a824d0a0e24","is_oa":true,"landing_page_url":"https://doaj.org/article/51e2e489d739400c8f249a824d0a0e24","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 202122-202132 (2020)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/27537891","is_oa":true,"landing_page_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3035703","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3035703","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09247214.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7799877306","display_name":null,"funder_award_id":"LP180101309","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3094706713.pdf","grobid_xml":"https://content.openalex.org/works/W3094706713.grobid-xml"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W4258001","https://openalex.org/W1507547546","https://openalex.org/W1594881282","https://openalex.org/W1809731386","https://openalex.org/W1963771662","https://openalex.org/W1964446838","https://openalex.org/W1964507417","https://openalex.org/W1966801777","https://openalex.org/W1967229875","https://openalex.org/W1978044639","https://openalex.org/W2002858145","https://openalex.org/W2003274231","https://openalex.org/W2008886893","https://openalex.org/W2012234676","https://openalex.org/W2014714192","https://openalex.org/W2018525987","https://openalex.org/W2018597607","https://openalex.org/W2028404847","https://openalex.org/W2032869685","https://openalex.org/W2036369530","https://openalex.org/W2039353303","https://openalex.org/W2041022395","https://openalex.org/W2042228598","https://openalex.org/W2042281163","https://openalex.org/W2044288351","https://openalex.org/W2047402090","https://openalex.org/W2057991616","https://openalex.org/W2061737399","https://openalex.org/W2072592616","https://openalex.org/W2072992969","https://openalex.org/W2080320419","https://openalex.org/W2084527756","https://openalex.org/W2084748293","https://openalex.org/W2085937320","https://openalex.org/W2086599969","https://openalex.org/W2087330200","https://openalex.org/W2098783874","https://openalex.org/W2101015482","https://openalex.org/W2117829824","https://openalex.org/W2142672922","https://openalex.org/W2150978351","https://openalex.org/W2156701939","https://openalex.org/W2157973827","https://openalex.org/W2164716162","https://openalex.org/W2219888463","https://openalex.org/W2266058821","https://openalex.org/W2367932617","https://openalex.org/W2479734128","https://openalex.org/W2533696134","https://openalex.org/W2556985004","https://openalex.org/W2592890084","https://openalex.org/W2603931454","https://openalex.org/W2605125510","https://openalex.org/W2614794251","https://openalex.org/W2745750801","https://openalex.org/W2766449686","https://openalex.org/W2793034076","https://openalex.org/W2802553787","https://openalex.org/W2811507150","https://openalex.org/W2898218204","https://openalex.org/W2907935579","https://openalex.org/W2945670315","https://openalex.org/W2994711216","https://openalex.org/W3007295698","https://openalex.org/W3098025954","https://openalex.org/W3102204769","https://openalex.org/W4232836321","https://openalex.org/W4232980324","https://openalex.org/W4233820998","https://openalex.org/W4248672808","https://openalex.org/W6600171536","https://openalex.org/W6635470246","https://openalex.org/W6638336094","https://openalex.org/W6641447860","https://openalex.org/W6683250468","https://openalex.org/W6785824372","https://openalex.org/W6842875748"],"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":{"Collaborative":[0],"Filtering":[1],"(CF)":[2],"approaches":[3],"have":[4,38],"been":[5],"widely":[6],"used":[7,103],"in":[8,48,104],"various":[9],"applications":[10],"of":[11,43,51,85,116,136,153],"recommender":[12],"systems.":[13],"These":[14],"methods":[15,33,118],"are":[16,34,102,120],"based":[17,121],"on":[18,91,112,122,133],"estimating":[19],"the":[20,26,41,44,49,52,74,96,130,146,151,154,159,164],"similarity":[21,81,86],"between":[22,124],"users/items":[23,75],"by":[24,29,72],"analyzing":[25],"ratings":[27,45],"provided":[28],"users.":[30],"The":[31,83],"existing":[32,173],"often":[35],"domain-specific":[36],"and":[37,60,89,143],"not":[39],"considered":[40],"time":[42],"being":[46],"made":[47],"calculation":[50],"similarity.":[53,63],"However,":[54],"users'":[55],"preferences":[56],"vary":[57],"over":[58,139],"time,":[59],"so":[61],"their":[62,79,180],"In":[64],"this":[65],"paper,":[66],"a":[67,113,134],"novel":[68],"method":[69,108,161],"is":[70,87],"proposed":[71,131,147,160],"re-ranking":[73],"neighborhood":[76,165],"set":[77,135],"considering":[78],"future":[80],"trend.":[82],"trend":[84],"predicted,":[88],"depending":[90],"increased/decreased":[92],"trend,":[93],"we":[94],"update":[95],"final":[97],"nearest":[98],"neighbor":[99],"sets":[100],"that":[101,119,145],"CF":[105,117,137,156,176],"formulation.":[106],"This":[107],"can":[109,168],"be":[110,169],"applied":[111,170],"broad":[114],"range":[115],"similarities":[123],"users":[125],"and/or":[126],"items.":[127],"We":[128],"apply":[129],"approach":[132,148],"algorithms":[138],"two":[140],"benchmark":[141],"datasets":[142],"show":[144],"significantly":[149],"improves":[150],"performance":[152],"original":[155],"recommenders.":[157],"As":[158],"only":[162],"re-ranks":[163],"set,":[166],"it":[167],"to":[171,178],"any":[172],"non-temporal":[174],"similarity-based":[175],"recommenders":[177],"improve":[179],"performance.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
