{"id":"https://openalex.org/W2152515727","doi":"https://doi.org/10.1007/978-3-319-24258-3_5","title":"Evaluation of Expert-Based Q-Matrices Predictive Quality in Matrix Factorization Models","display_name":"Evaluation of Expert-Based Q-Matrices Predictive Quality in Matrix Factorization Models","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2152515727","doi":"https://doi.org/10.1007/978-3-319-24258-3_5","mag":"2152515727"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-24258-3_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24258-3_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-24258-3_5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058375440","display_name":"Guillaume Durand","orcid":"https://orcid.org/0000-0002-5418-4429"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Guillaume Durand","raw_affiliation_strings":["National Research Council Canada, Information and Communications Technologies, Moncton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council Canada, Information and Communications Technologies, Moncton, Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068942495","display_name":"Nabil Belacel","orcid":"https://orcid.org/0000-0003-1731-3225"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nabil Belacel","raw_affiliation_strings":["National Research Council Canada, Information and Communications Technologies, Moncton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council Canada, Information and Communications Technologies, Moncton, Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065257553","display_name":"Cyril Goutte","orcid":"https://orcid.org/0000-0003-4939-6555"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Cyril Goutte","raw_affiliation_strings":["National Research Council Canada, Information and Communications Technologies, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council Canada, Information and Communications Technologies, Ottawa, Canada","institution_ids":["https://openalex.org/I4210159778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210159778"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.5792,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63745505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.982699990272522,"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/computer-science","display_name":"Computer science","score":0.824007511138916},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7674093246459961},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6987820863723755},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6898253560066223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5524281859397888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5160581469535828},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47604823112487793},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.46755990386009216},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43114182353019714},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4228306710720062},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.41946378350257874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21362027525901794}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.824007511138916},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7674093246459961},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6987820863723755},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6898253560066223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5524281859397888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5160581469535828},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47604823112487793},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.46755990386009216},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43114182353019714},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4228306710720062},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.41946378350257874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21362027525901794},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-24258-3_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24258-3_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:21276108","is_oa":true,"landing_page_url":"https://nrc-publications.canada.ca/eng/view/object/?id=fc3eabce-eff5-482b-b930-b88bd5393f44","pdf_url":"https://nrc-publications.canada.ca/eng/view/accepted/?id=fc3eabce-eff5-482b-b930-b88bd5393f44","source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"book chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-24258-3_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24258-3_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334601","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W124870434","https://openalex.org/W125847312","https://openalex.org/W133896751","https://openalex.org/W188988544","https://openalex.org/W621341096","https://openalex.org/W1487416157","https://openalex.org/W1569653074","https://openalex.org/W1971228271","https://openalex.org/W1987525834","https://openalex.org/W1993753443","https://openalex.org/W2006618588","https://openalex.org/W2037128745","https://openalex.org/W2039625536","https://openalex.org/W2047570292","https://openalex.org/W2054141820","https://openalex.org/W2079933101","https://openalex.org/W2083067118","https://openalex.org/W2096270992","https://openalex.org/W2127529301","https://openalex.org/W2128365310","https://openalex.org/W2135167102","https://openalex.org/W2148415528","https://openalex.org/W2160920329","https://openalex.org/W2171074980","https://openalex.org/W2572663707","https://openalex.org/W2574744083","https://openalex.org/W2800663870","https://openalex.org/W3023167651","https://openalex.org/W3158904737","https://openalex.org/W4242302282"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W2202724490"],"abstract_inverted_index":{"Matrix":[0],"factorization":[1,89],"techniques":[2],"are":[3,22,39,132],"widely":[4],"used":[5,81],"to":[6,24,45,60],"build":[7],"collaborative":[8],"filtering":[9],"recommender":[10],"systems.":[11],"These":[12],"recommenders":[13],"aim":[14],"at":[15,124,134],"discovering":[16],"latent":[17,43],"variables":[18],"or":[19],"attributes":[20,44],"that":[21,108,117,131],"supposed":[23],"explain":[25],"and":[26,37,47,66,102],"ultimately":[27],"predict":[28],"the":[29,56,62,103,110,135],"interest":[30],"of":[31,58,113,137],"users.":[32],"In":[33,69],"cognitive":[34],"modeling,":[35],"skills":[36,65],"competencies":[38],"considered":[40],"as":[41,82],"key":[42],"understand":[46],"assess":[48],"student":[49],"learning.":[50],"For":[51],"this":[52,70,92,138],"purpose,":[53],"Tatsuoka":[54],"introduced":[55],"concept":[57],"Q-matrix":[59],"represent":[61],"mapping":[63],"between":[64],"test":[67],"items.":[68],"paper":[71],"we":[72,94],"evaluate":[73],"how":[74],"predictive":[75,111],"expert-created":[76],"Q-matrices":[77,119],"can":[78,120],"be":[79,121],"when":[80],"a":[83,87],"decomposition":[84],"factor":[85],"in":[86,128],"matrix":[88],"recommender.":[90],"To":[91],"end,":[93],"developed":[95],"an":[96],"evaluation":[97],"method":[98],"using":[99],"cross":[100],"validation":[101],"weighted":[104],"least":[105],"squares":[106],"algorithm":[107],"measures":[109],"accuracy":[112],"Q-matrices.":[114],"Results":[115],"show":[116],"expert-made":[118],"reasonably":[122],"accurate":[123],"predicting":[125],"users":[126],"success":[127],"specific":[129],"circumstances":[130],"discussed":[133],"end":[136],"paper.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}