{"id":"https://openalex.org/W3103964511","doi":"https://doi.org/10.1109/access.2020.3039011","title":"Teaching Teacher Recommendation Method Based on Fuzzy Clustering and Latent Factor Model","display_name":"Teaching Teacher Recommendation Method Based on Fuzzy Clustering and Latent Factor Model","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3103964511","doi":"https://doi.org/10.1109/access.2020.3039011","mag":"3103964511"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3039011","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3039011","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09262875.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/ielx7/6287639/8948470/09262875.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043520199","display_name":"Dunhong Yao","orcid":"https://orcid.org/0000-0002-5742-9583"},"institutions":[{"id":"https://openalex.org/I12393601","display_name":"Huaihua University","ror":"https://ror.org/04zn6xq74","country_code":"CN","type":"education","lineage":["https://openalex.org/I12393601"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dunhong Yao","raw_affiliation_strings":["Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province, Huaihua, China","Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities, Huaihua, China","School of Computer Science and Engineering, Huaihua University, Huaihua, China"],"raw_orcid":"https://orcid.org/0000-0002-5742-9583","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province, Huaihua, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities, Huaihua, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Huaihua University, Huaihua, China","institution_ids":["https://openalex.org/I12393601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109540036","display_name":"Xiaowu Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I12393601","display_name":"Huaihua University","ror":"https://ror.org/04zn6xq74","country_code":"CN","type":"education","lineage":["https://openalex.org/I12393601"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowu Deng","raw_affiliation_strings":["Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province, Huaihua, China","Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities, Huaihua, China","School of Computer Science and Engineering, Huaihua University, Huaihua, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province, Huaihua, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities, Huaihua, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Huaihua University, Huaihua, China","institution_ids":["https://openalex.org/I12393601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12393601"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.48,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86377753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"210868","last_page":"210885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T14025","display_name":"Educational Technology and Assessment","score":0.9914000034332275,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.8056768178939819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7550387978553772},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5982266664505005},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5506460666656494},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5423853993415833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5139796137809753},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.49283361434936523},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4906688928604126},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4777595102787018},{"id":"https://openalex.org/keywords/course","display_name":"Course (navigation)","score":0.4598594009876251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4493003785610199},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.422076553106308},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3996613025665283},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08658868074417114}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8056768178939819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7550387978553772},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5982266664505005},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5506460666656494},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5423853993415833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5139796137809753},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.49283361434936523},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4906688928604126},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4777595102787018},{"id":"https://openalex.org/C2777552389","wikidata":"https://www.wikidata.org/wiki/Q1962728","display_name":"Course (navigation)","level":2,"score":0.4598594009876251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4493003785610199},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.422076553106308},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3996613025665283},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08658868074417114},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3039011","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3039011","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09262875.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:doaj.org/article:d0dd200c24274b5ab67bcbad2072560d","is_oa":true,"landing_page_url":"https://doaj.org/article/d0dd200c24274b5ab67bcbad2072560d","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":"IEEE Access, Vol 8, Pp 210868-210885 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3039011","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3039011","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09262875.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":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329924","display_name":"Huaihua University","ror":"https://ror.org/04zn6xq74"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3103964511.pdf","grobid_xml":"https://content.openalex.org/works/W3103964511.grobid-xml"},"referenced_works_count":88,"referenced_works":["https://openalex.org/W153313452","https://openalex.org/W1527587832","https://openalex.org/W1585610988","https://openalex.org/W1638124800","https://openalex.org/W1769049279","https://openalex.org/W1976049077","https://openalex.org/W1987431925","https://openalex.org/W1989341178","https://openalex.org/W1991055526","https://openalex.org/W1992742427","https://openalex.org/W1995450389","https://openalex.org/W1999956270","https://openalex.org/W2009995238","https://openalex.org/W2011832962","https://openalex.org/W2015742974","https://openalex.org/W2024573596","https://openalex.org/W2043386636","https://openalex.org/W2045745608","https://openalex.org/W2051224630","https://openalex.org/W2059418524","https://openalex.org/W2064754513","https://openalex.org/W2101409192","https://openalex.org/W2103868202","https://openalex.org/W2105261480","https://openalex.org/W2107309765","https://openalex.org/W2108920354","https://openalex.org/W2124187902","https://openalex.org/W2127136536","https://openalex.org/W2137338134","https://openalex.org/W2138036661","https://openalex.org/W2140310134","https://openalex.org/W2166426400","https://openalex.org/W2166862541","https://openalex.org/W2169973051","https://openalex.org/W2196907121","https://openalex.org/W2199058847","https://openalex.org/W2256361316","https://openalex.org/W2271825318","https://openalex.org/W2311090125","https://openalex.org/W2351447125","https://openalex.org/W2354210961","https://openalex.org/W2373555655","https://openalex.org/W2400644120","https://openalex.org/W2479868114","https://openalex.org/W2518705111","https://openalex.org/W2563889304","https://openalex.org/W2580505502","https://openalex.org/W2611831635","https://openalex.org/W2623703952","https://openalex.org/W2751758458","https://openalex.org/W2788456731","https://openalex.org/W2790988043","https://openalex.org/W2792285786","https://openalex.org/W2797808779","https://openalex.org/W2805149683","https://openalex.org/W2806295353","https://openalex.org/W2809448379","https://openalex.org/W2810847717","https://openalex.org/W2892562988","https://openalex.org/W2897614747","https://openalex.org/W2903775503","https://openalex.org/W2903997608","https://openalex.org/W2912201209","https://openalex.org/W2914866826","https://openalex.org/W2916446848","https://openalex.org/W2952949598","https://openalex.org/W2962970583","https://openalex.org/W2978924183","https://openalex.org/W2996455001","https://openalex.org/W3002895058","https://openalex.org/W3005662729","https://openalex.org/W3023986004","https://openalex.org/W3025319030","https://openalex.org/W3027827641","https://openalex.org/W3035359193","https://openalex.org/W3043489156","https://openalex.org/W3045034478","https://openalex.org/W3046220306","https://openalex.org/W3092417132","https://openalex.org/W6606214242","https://openalex.org/W6635035540","https://openalex.org/W6636715382","https://openalex.org/W6637940469","https://openalex.org/W6680830989","https://openalex.org/W6681819062","https://openalex.org/W6713058212","https://openalex.org/W6753155137","https://openalex.org/W6755309561"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4312412183"],"abstract_inverted_index":{"Colleges":[0],"and":[1,45,53,86,103,111,115,154,170,205,225],"universities":[2],"attach":[3],"great":[4],"importance":[5],"to":[6,92,124,145,151,159,180,202],"the":[7,15,19,27,41,61,87,98,117,134,140,156,161,167,172,177,182,186,190,195,203,206,210,223,229,235,248],"quality":[8],"of":[9,43,100,209],"undergraduate":[10],"teaching.":[11],"To":[12],"virtually":[13],"guarantee":[14],"course's":[16],"teaching":[17,122,130,162],"quality,":[18],"key":[20],"lies":[21],"in":[22,185],"recommending":[23,244],"suitable":[24,245],"teachers":[25,55,110,212,246],"for":[26,70,109,243,247,250],"course":[28,77,129,211,249],"scientifically.":[29],"It":[30,232],"is":[31,213,239],"a":[32,76,126,251],"seemingly":[33],"simple":[34],"but":[35],"very":[36],"complicated":[37],"problem.":[38,62,95],"Moreover,":[39],"with":[40,120],"development":[42],"colleges":[44],"universities,":[46],"new":[47,54],"courses":[48],"are":[49,56,199],"continually":[50],"set":[51],"up,":[52],"introduced,":[57],"which":[58],"further":[59],"complicates":[60],"The":[63,215],"problem":[64,236],"has":[65],"not":[66],"been":[67],"solved":[68],"well":[69,227],"many":[71],"years.":[72],"Therefore,":[73],"we":[74,105,138,175],"propose":[75],"teacher":[78,157],"recommendation":[79,135,208,226],"model":[80,90,144],"(FCTR-LFM)":[81],"based":[82],"on":[83],"fuzzy":[84,142],"clustering":[85,143,149],"latent":[88],"factor":[89],"(LFM)":[91],"solve":[93],"this":[94],"Firstly,":[96],"under":[97],"guidance":[99],"pedagogy":[101],"theories":[102],"methods,":[104],"conduct":[106],"quantitative":[107,118],"modeling":[108],"courses'":[112],"relevant":[113],"characteristics":[114,153],"combine":[116],"results":[119,217],"historical":[121],"scores":[123,198],"establish":[125],"large-scale":[127],"sparse":[128],"evaluation":[131,163,187,197],"matrix":[132],"as":[133],"dataset.":[136],"Next,":[137],"adopt":[139],"improved":[141,178],"realize":[146,222],"teachers'":[147],"automatic":[148],"according":[150,201],"their":[152],"use":[155],"cluster":[158],"reconstruct":[160],"matrix,":[164,188],"significantly":[165],"reducing":[166,171],"dataset's":[168],"size":[169],"sparsity.":[173],"Then,":[174],"used":[176],"LFM":[179],"predict":[181],"score":[183,192],"items":[184],"including":[189],"missing":[191],"items.":[193],"Finally,":[194],"prediction":[196,224],"sorted":[200],"course,":[204],"TOP-N":[207],"realized.":[214],"experimental":[216],"show":[218],"that":[219,237],"FCTR-LFM":[220],"can":[221],"using":[228],"optimized":[230],"parameters.":[231],"effectively":[233],"solves":[234],"there":[238],"no":[240],"scientific":[241],"basis":[242],"long":[252],"time.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
