{"id":"https://openalex.org/W2584094115","doi":"https://doi.org/10.1109/bigdata.2016.7841011","title":"A Markov chain collaborative filtering model for course enrollment recommendations","display_name":"A Markov chain collaborative filtering model for course enrollment recommendations","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584094115","doi":"https://doi.org/10.1109/bigdata.2016.7841011","mag":"2584094115"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7841011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023029632","display_name":"Elham S. Khorasani","orcid":null},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Elham S. Khorasani","raw_affiliation_strings":["Department of Computer Sciencce, University of Illinois at Springfield, Springfield, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciencce, University of Illinois at Springfield, Springfield, IL, USA","institution_ids":["https://openalex.org/I79884896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100989925","display_name":"Zhao Zhenge","orcid":null},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhao Zhenge","raw_affiliation_strings":["Department of Computer Sciencce, University of Illinois at Springfield, Springfield, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciencce, University of Illinois at Springfield, Springfield, IL, USA","institution_ids":["https://openalex.org/I79884896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103765389","display_name":"Champaign John","orcid":null},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Champaign","raw_affiliation_strings":["Department of Computer Sciencce, University of Illinois at Springfield, Springfield, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciencce, University of Illinois at Springfield, Springfield, IL, USA","institution_ids":["https://openalex.org/I79884896"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023029632"],"corresponding_institution_ids":["https://openalex.org/I79884896"],"apc_list":null,"apc_paid":null,"fwci":4.1495,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94874592,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3484","last_page":"3490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11122","display_name":"Online Learning and Analytics","score":0.9911999702453613,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9801999926567078,"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/markov-chain","display_name":"Markov chain","score":0.7759732604026794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7416326999664307},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.727432131767273},{"id":"https://openalex.org/keywords/course","display_name":"Course (navigation)","score":0.691199004650116},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.6231054663658142},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.5099891424179077},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4624270498752594},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.42083990573883057},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.41769707202911377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3441235423088074},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.3287552297115326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13780000805854797},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12792018055915833},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08777591586112976},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08578777313232422},{"id":"https://openalex.org/keywords/pedagogy","display_name":"Pedagogy","score":0.06668552756309509}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7759732604026794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416326999664307},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.727432131767273},{"id":"https://openalex.org/C2777552389","wikidata":"https://www.wikidata.org/wiki/Q1962728","display_name":"Course (navigation)","level":2,"score":0.691199004650116},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.6231054663658142},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.5099891424179077},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4624270498752594},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.42083990573883057},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.41769707202911377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3441235423088074},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.3287552297115326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13780000805854797},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12792018055915833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08777591586112976},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08578777313232422},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.06668552756309509},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2016.7841011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1502996661","https://openalex.org/W1519621898","https://openalex.org/W1565318134","https://openalex.org/W1971572841","https://openalex.org/W1997050658","https://openalex.org/W2003445122","https://openalex.org/W2054141820","https://openalex.org/W2056859449","https://openalex.org/W2097927681","https://openalex.org/W2100235918","https://openalex.org/W2111305191","https://openalex.org/W2121227244","https://openalex.org/W2128351576","https://openalex.org/W2134648384","https://openalex.org/W2199058847","https://openalex.org/W2759336060","https://openalex.org/W6630221451","https://openalex.org/W6678277124","https://openalex.org/W6744563477"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2170391450","https://openalex.org/W2735929803","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W2202724490","https://openalex.org/W2119611366","https://openalex.org/W2103058005"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,85],"detail":[4],"our":[5],"initial":[6,101],"approach":[7],"and":[8,61,87],"early":[9],"results":[10,102],"in":[11,48,83],"examining":[12],"the":[13,41,49,58,66,89,105],"efficacy":[14],"of":[15,43,65],"a":[16,26,80],"Markovbased":[17],"stochastic":[18],"model":[19,30,54,91,107],"to":[20,31,34,116],"course":[21,68,98,117],"enrollment":[22,59,77,118],"recommendations.":[23],"We":[24],"outline":[25],"Markov-based":[27,106],"collaborative":[28,94,111],"filtering":[29,95,112],"recommend":[32],"courses":[33,44],"students":[35],"at":[36],"each":[37],"semester":[38],"based":[39,56],"on":[40,57],"sequence":[42],"they":[45],"have":[46],"taken":[47],"previous":[50],"semesters.":[51],"The":[52],"proposed":[53],"is":[55,74],"data":[60,78],"no":[62],"prior":[63],"knowledge":[64],"institution,":[67],"prerequisites,":[69],"curriculum":[70],"or":[71],"degree":[72],"requirement":[73],"assumed.":[75],"Using":[76],"from":[79],"research":[81],"university":[82],"Canada,":[84],"evaluate":[86],"compare":[88],"Markov":[90],"with":[92],"traditional":[93,110],"approaches":[96],"for":[97],"recommendation.":[99,119],"Our":[100],"show":[103],"that":[104],"significantly":[108],"outperforms":[109],"models":[113],"when":[114],"applied":[115]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}