{"id":"https://openalex.org/W3189190556","doi":"https://doi.org/10.24963/ijcai.2021/241","title":"Item Response Ranking for Cognitive Diagnosis","display_name":"Item Response Ranking for Cognitive Diagnosis","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3189190556","doi":"https://doi.org/10.24963/ijcai.2021/241","mag":"3189190556"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/241","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/241","pdf_url":"https://www.ijcai.org/proceedings/2021/0241.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0241.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000135168","display_name":"Shiwei Tong","orcid":"https://orcid.org/0000-0002-4218-0236"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwei Tong","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453156","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-6956-5550"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767610","display_name":"Runlong Yu","orcid":"https://orcid.org/0000-0003-4080-2377"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runlong Yu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101399361","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0002-4817-8858"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085496384","display_name":"Zhenya Huang","orcid":"https://orcid.org/0000-0003-1661-0420"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenya Huang","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology & School of Data Science, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021273980","display_name":"Zachary A. Pardos","orcid":"https://orcid.org/0000-0002-6016-7051"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachary A. Pardos","raw_affiliation_strings":["University of California, Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081642382","display_name":"Weijie Jiang","orcid":"https://orcid.org/0000-0002-1617-8319"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weijie Jiang","raw_affiliation_strings":["University of California, Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1750","last_page":"1756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9945999979972839,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9848999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8765761256217957},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7085045576095581},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.6377894878387451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6257084012031555},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6227526664733887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5547189712524414},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5436205267906189},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5366036295890808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5232978463172913},{"id":"https://openalex.org/keywords/item-response-theory","display_name":"Item response theory","score":0.4620375633239746},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46136561036109924},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.439153254032135},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4134894013404846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24532857537269592},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21655401587486267},{"id":"https://openalex.org/keywords/psychometrics","display_name":"Psychometrics","score":0.16973450779914856},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16835683584213257}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8765761256217957},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7085045576095581},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.6377894878387451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6257084012031555},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6227526664733887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5547189712524414},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5436205267906189},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5366036295890808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5232978463172913},{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.4620375633239746},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46136561036109924},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.439153254032135},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4134894013404846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24532857537269592},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21655401587486267},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.16973450779914856},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16835683584213257},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/241","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/241","pdf_url":"https://www.ijcai.org/proceedings/2021/0241.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/241","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/241","pdf_url":"https://www.ijcai.org/proceedings/2021/0241.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8600000143051147,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3424485895","display_name":null,"funder_award_id":"61922073","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G56134978","display_name":null,"funder_award_id":"No. 61922073 and U20A20229","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6859851492","display_name":null,"funder_award_id":"U20A20229","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7176628275","display_name":null,"funder_award_id":"WK2150110021","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189190556.pdf","grobid_xml":"https://content.openalex.org/works/W3189190556.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W571028990","https://openalex.org/W1522301498","https://openalex.org/W1535520578","https://openalex.org/W1561581337","https://openalex.org/W2057798302","https://openalex.org/W2066816090","https://openalex.org/W2117122404","https://openalex.org/W2136189984","https://openalex.org/W2140310134","https://openalex.org/W2160920329","https://openalex.org/W2380648751","https://openalex.org/W2739744472","https://openalex.org/W2739763670","https://openalex.org/W2740958986","https://openalex.org/W2787760162","https://openalex.org/W2896141483","https://openalex.org/W2905798893","https://openalex.org/W2921387835","https://openalex.org/W2955931418","https://openalex.org/W2997882704","https://openalex.org/W3021176691","https://openalex.org/W3104946560","https://openalex.org/W3127184636"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2011472225","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363"],"abstract_inverted_index":{"Cognitive":[0],"diagnosis,":[1],"a":[2,51,128,144],"fundamental":[3],"task":[4],"in":[5,31,136],"education":[6],"area,":[7],"aims":[8],"at":[9,75],"providing":[10],"an":[11,94],"approach":[12],"to":[13,50,82,99,119,132,151],"reveal":[14],"the":[15,28,43,47,60,85,115,121,134,137,161],"proficiency":[16,39],"level":[17],"of":[18,27,45,56,153,165],"students":[19],"on":[20,108],"knowledge":[21],"concepts.":[22],"Actually,":[23],"monotonicity":[24,61,86,135],"is":[25,40,143],"one":[26],"basic":[29],"conditions":[30],"cognitive":[32,80,155],"diagnosis":[33,81,156],"theory,":[34],"which":[35,147],"assumes":[36],"that":[37],"student's":[38],"monotonic":[41],"with":[42],"probability":[44],"giving":[46],"right":[48],"response":[49,105],"test":[52],"item.":[53],"However,":[54],"few":[55],"previous":[57],"methods":[58,118],"consider":[59],"during":[62],"optimization.":[63],"To":[64],"this":[65],"end,":[66],"we":[67,91,113,126],"propose":[68,114],"Item":[69],"Response":[70],"Ranking":[71],"framework":[72,146],"(IRR),":[73],"aiming":[74],"introducing":[76],"pairwise":[77,129],"learning":[78],"into":[79],"well":[83],"model":[84],"between":[87],"item":[88,95,101],"responses.":[89,123],"Specifically,":[90],"first":[92],"use":[93,127],"specific":[96],"sampling":[97,117],"method":[98],"sample":[100],"responses":[102],"and":[103,163],"construct":[104],"pairs":[106],"based":[107],"their":[109],"partial":[110],"order,":[111],"where":[112],"two-branch":[116],"handle":[120],"unobserved":[122],"After":[124],"that,":[125],"objective":[130],"function":[131],"exploit":[133],"pair":[138],"formulation.":[139],"In":[140],"fact,":[141],"IRR":[142],"general":[145],"can":[148],"be":[149],"applied":[150],"most":[152],"contemporary":[154],"models.":[157],"Extensive":[158],"experiments":[159],"demonstrate":[160],"effectiveness":[162],"interpretability":[164],"our":[166],"method.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
