{"id":"https://openalex.org/W7123338455","doi":"https://doi.org/10.1109/dsa66321.2025.00037","title":"Fusing Semantic and Collaborative Signals for Multi-Dimensional Intent Course Recommendation","display_name":"Fusing Semantic and Collaborative Signals for Multi-Dimensional Intent Course Recommendation","publication_year":2025,"publication_date":"2025-11-24","ids":{"openalex":"https://openalex.org/W7123338455","doi":"https://doi.org/10.1109/dsa66321.2025.00037"},"language":null,"primary_location":{"id":"doi:10.1109/dsa66321.2025.00037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsa66321.2025.00037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Dependable Systems and Their Applications (DSA)","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/A5046511162","display_name":"H. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongxiang Li","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University,Xuzhou,China,221116"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University,Xuzhou,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101810309","display_name":"Yi Zhu","orcid":"https://orcid.org/0000-0001-6952-947X"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University,Xuzhou,China,221116"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University,Xuzhou,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750599","display_name":"Mei Song","orcid":"https://orcid.org/0009-0000-6215-0491"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Song","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University,Xuzhou,China,221116"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University,Xuzhou,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122870414","display_name":"Guosheng Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guosheng Hao","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University,Xuzhou,China,221116"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University,Xuzhou,China,221116","institution_ids":["https://openalex.org/I118574674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046511162"],"corresponding_institution_ids":["https://openalex.org/I118574674"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82634133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"13"},"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":0.51910001039505,"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":0.51910001039505,"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/T11122","display_name":"Online Learning and Analytics","score":0.11710000038146973,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.09449999779462814,"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/leverage","display_name":"Leverage (statistics)","score":0.6934000253677368},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.541100025177002},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41100001335144043},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.3564000129699707},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3208000063896179},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3046000003814697},{"id":"https://openalex.org/keywords/course","display_name":"Course (navigation)","score":0.30309998989105225},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.3018999993801117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954999804496765},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6934000253677368},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.541100025177002},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41100001335144043},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4108000099658966},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3756999969482422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3743000030517578},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.3564000129699707},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3440999984741211},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3434000015258789},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3343999981880188},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C2777552389","wikidata":"https://www.wikidata.org/wiki/Q1962728","display_name":"Course (navigation)","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C3018615553","wikidata":"https://www.wikidata.org/wiki/Q189293","display_name":"Frequently asked questions","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsa66321.2025.00037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsa66321.2025.00037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Dependable Systems and Their Applications (DSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7261656522750854,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1877157977","display_name":null,"funder_award_id":"62077029,62277030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"course":[1,185],"recommendation":[2,186],"systems":[3],"are":[4],"crucial":[5],"for":[6,92,160,183],"helping":[7],"users":[8,93],"discover":[9],"personalized":[10,184],"course,":[11],"but":[12],"their":[13],"precision":[14],"is":[15],"often":[16],"limited":[17],"by":[18,168],"the":[19,23,77,142,147,163],"difficulty":[20],"of":[21,55,82,133,149],"capturing":[22],"complex":[24],"and":[25,61,94,136,165,170],"multi-dimensional":[26],"intents":[27],"behind":[28],"learners,":[29],"such":[30],"as":[31],"job":[32],"seeking,":[33],"certification,":[34],"or":[35],"interest":[36],"exploration.":[37],"To":[38],"address":[39],"this":[40,42,56],"challenge,":[41],"paper":[43],"proposes":[44],"a":[45,69,130],"novel":[46],"Multi-dimensional":[47],"Intent":[48],"Course":[49],"Recommendation":[50],"Model":[51],"(MICR).":[52],"The":[53],"core":[54],"model":[57],"lies":[58],"in":[59,187],"decoupling":[60],"aligning":[62],"two":[63,120],"complementary":[64],"intent":[65,90,101,107,126],"representations":[66,108],"to":[67,86,104,153],"construct":[68],"more":[70],"comprehensive":[71],"user":[72],"profile.":[73],"First,":[74],"we":[75,97,117],"leverage":[76],"powerful":[78],"semantic":[79,137],"reasoning":[80],"capabilities":[81],"Large":[83],"Language":[84],"Models":[85],"distill":[87],"explicit":[88],"multidimensional":[89],"texts":[91],"courses.":[95],"Second,":[96],"design":[98],"an":[99,179],"implicit":[100,106],"discovery":[102],"module":[103],"learn":[105],"from":[109],"users'":[110],"historical":[111],"interactions.":[112],"Finally,":[113],"through":[114],"contrastive":[115],"learning,":[116],"align":[118],"these":[119],"semantically":[121],"related":[122],"yet":[123],"differently":[124],"sourced":[125],"representations,":[127],"thereby":[128],"achieving":[129],"deep":[131],"fusion":[132],"collaborative":[134],"signals":[135],"knowledge.":[138],"Extensive":[139],"experiments":[140],"on":[141],"public":[143],"MOOCCube":[144],"dataset":[145],"demonstrate":[146],"effectiveness":[148],"our":[150],"model.":[151],"Compared":[152],"state-of-the-art":[154],"baselines,":[155],"MICR":[156,177],"achieves":[157],"significant":[158],"improvements,":[159],"instance,":[161],"enhancing":[162],"R@10":[164],"N@10":[166],"metrics":[167],"2.46%":[169],"3.25%,":[171],"respectively.":[172],"These":[173],"results":[174],"prove":[175],"that":[176],"provides":[178],"effective":[180],"technical":[181],"solution":[182],"online":[188],"education":[189],"platforms.":[190]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-14T00:00:00"}
