{"id":"https://openalex.org/W4399659099","doi":"https://doi.org/10.1145/3641584.3641809","title":"Online Course Recommendation with Hypergraph-based Multi-Channel Feature Fusion","display_name":"Online Course Recommendation with Hypergraph-based Multi-Channel Feature Fusion","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399659099","doi":"https://doi.org/10.1145/3641584.3641809"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641809","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3641584.3641809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","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/A5101662219","display_name":"Aijing Sun","orcid":"https://orcid.org/0000-0001-7978-4060"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aijing Sun","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0001-7978-4060","affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023577598","display_name":"Kailin Yang","orcid":"https://orcid.org/0009-0004-3439-8392"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailin Yang","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0004-3439-8392","affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054706967","display_name":"Dan Ren","orcid":"https://orcid.org/0009-0009-3575-6848"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Ren","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0009-3575-6848","affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056077312","display_name":"Xinru Wang","orcid":"https://orcid.org/0009-0000-6410-8641"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinru Wang","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0000-6410-8641","affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24299539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1491","last_page":"1497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9940000176429749,"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":0.9940000176429749,"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":0.98580002784729,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9822999835014343,"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/computer-science","display_name":"Computer science","score":0.6742329597473145},{"id":"https://openalex.org/keywords/course","display_name":"Course (navigation)","score":0.5652865171432495},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5371819734573364},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.44224080443382263},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4287799000740051},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4241545796394348},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3181488811969757},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16885843873023987},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10886716842651367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08937320113182068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6742329597473145},{"id":"https://openalex.org/C2777552389","wikidata":"https://www.wikidata.org/wiki/Q1962728","display_name":"Course (navigation)","level":2,"score":0.5652865171432495},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5371819734573364},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.44224080443382263},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4287799000740051},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4241545796394348},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3181488811969757},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16885843873023987},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10886716842651367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08937320113182068},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641584.3641809","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3641584.3641809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","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":17,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2744779260","https://openalex.org/W2964044287","https://openalex.org/W2966720510","https://openalex.org/W3085990079","https://openalex.org/W3108071652","https://openalex.org/W3121130912","https://openalex.org/W4224298731","https://openalex.org/W6600042794","https://openalex.org/W6600120041","https://openalex.org/W6600281192","https://openalex.org/W6600586173","https://openalex.org/W6601280837","https://openalex.org/W6602163396","https://openalex.org/W6603527449","https://openalex.org/W6604801084","https://openalex.org/W6811416509"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2472555608","https://openalex.org/W4214498971"],"abstract_inverted_index":{"Course":[0],"recommendation":[1,18,30,77,171],"can":[2],"help":[3],"users":[4,61,95],"find":[5],"the":[6,10,57,92,100,113,129,152,157,180],"right":[7],"course":[8,17,76],"in":[9],"massive":[11],"online":[12,75],"resources.":[13],"In":[14,44],"recent":[15],"years,":[16],"methods":[19],"based":[20,71,84,121,150],"on":[21,72,85,122,151,176],"graph":[22,108,119,123],"neural":[23,88,125],"networks":[24],"have":[25,136],"achieved":[26],"certain":[27,35],"levels":[28],"of":[29,132,182],"effectiveness.":[31],"However,":[32],"there":[33],"are":[34],"limitations":[36],"when":[37],"it":[38],"comes":[39],"to":[40,46,55,90,169],"handling":[41],"higher-order":[42,49],"information.":[43],"order":[45],"capture":[47],"complex":[48],"relationships,":[50],"this":[51],"paper":[52],"utilizes":[53],"hypergraph":[54,73,82,86,101,114],"model":[56,70],"interactive":[58,134],"information":[59],"between":[60,94],"and":[62,64,96,115],"courses,":[63],"propose":[65],"a":[66,81,106,117,143,165],"multi-channel":[67],"feature":[68],"fusion":[69],"for":[74],"(MFHCR).":[78],"We":[79],"design":[80,116,142],"channel":[83,120,149],"convolutional":[87,124],"network":[89,148],"learn":[91],"relationship":[93],"courses.":[97],"To":[98],"enhance":[99],"modeling":[102],"capability,":[103],"we":[104,141,163],"induce":[105],"line":[107,118],"describing":[109],"hyperedge":[110],"connectivity":[111],"from":[112,160],"network.":[126],"Considering":[127],"that":[128],"temporal":[130],"relations":[131],"users'":[133],"courses":[135],"not":[137],"been":[138],"learned":[139,159],"yet,":[140],"bidirectional":[144],"long":[145],"short-term":[146],"memory":[147],"attention":[153],"mechanism.":[154],"By":[155],"co-learning":[156],"embeddings":[158],"multiple":[161],"channels,":[162],"obtain":[164],"comprehensive":[166],"user":[167],"representation":[168],"generate":[170],"results.":[172],"Our":[173],"extensive":[174],"experiments":[175],"real":[177],"datasets":[178],"demonstrate":[179],"superiority":[181],"MFHCR.":[183]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
