{"id":"https://openalex.org/W4317515941","doi":"https://doi.org/10.1109/ccis57298.2022.10016317","title":"Dependency and Association Enhanced Finding Similar Exercises in Online Education System","display_name":"Dependency and Association Enhanced Finding Similar Exercises in Online Education System","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4317515941","doi":"https://doi.org/10.1109/ccis57298.2022.10016317"},"language":"en","primary_location":{"id":"doi:10.1109/ccis57298.2022.10016317","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016317","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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/A5016316750","display_name":"Zihang Tang","orcid":null},"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":true,"raw_author_name":"Zihang Tang","raw_affiliation_strings":["University of Science and Technology of China,School of Data Science","School of Data Science, University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Data Science","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"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/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]},{"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":"Hao Wang","raw_affiliation_strings":["University of Science and Technology of China,Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology","Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology, University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103148987","display_name":"Weibo Gao","orcid":"https://orcid.org/0000-0003-0894-7023"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]},{"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":"Weibo Gao","raw_affiliation_strings":["University of Science and Technology of China,Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology","Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology, University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology, 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"]},{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenya Huang","raw_affiliation_strings":["University of Science and Technology of China,Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology","Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology, University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453144","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5378-6404"},"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"]},{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["University of Science and Technology of China,Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology","Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology, University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101659303","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0001-5029-0294"},"institutions":[{"id":"https://openalex.org/I4210133256","display_name":"Instituttet for Anvendt Datateknik (Denmark)","ror":"https://ror.org/02q83se13","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210133256"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["iFLYTEK CO., LTD.,iFLYTEK Research","iFLYTEK Research, iFLYTEK CO., LTD"],"affiliations":[{"raw_affiliation_string":"iFLYTEK CO., LTD.,iFLYTEK Research","institution_ids":["https://openalex.org/I4210133256"]},{"raw_affiliation_string":"iFLYTEK Research, iFLYTEK CO., LTD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5016316750"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19505495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"125","issue":null,"first_page":"31","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9939000010490417,"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":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688454270362854},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6852128505706787},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6670548915863037},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.5999578833580017},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5428135991096497},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5397802591323853},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5219683051109314},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.48680827021598816},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4865192770957947},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.47963935136795044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39341074228286743},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3585309088230133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3529147505760193},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2717456817626953},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12321200966835022},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07997092604637146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688454270362854},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6852128505706787},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6670548915863037},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.5999578833580017},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5428135991096497},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5397802591323853},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5219683051109314},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.48680827021598816},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4865192770957947},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.47963935136795044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39341074228286743},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3585309088230133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3529147505760193},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2717456817626953},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12321200966835022},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07997092604637146},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis57298.2022.10016317","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016317","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"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":27,"referenced_works":["https://openalex.org/W1489875093","https://openalex.org/W1586702196","https://openalex.org/W1640344466","https://openalex.org/W1832693441","https://openalex.org/W2028154549","https://openalex.org/W2072659991","https://openalex.org/W2083045440","https://openalex.org/W2085042456","https://openalex.org/W2125382991","https://openalex.org/W2146246571","https://openalex.org/W2160162963","https://openalex.org/W2194775991","https://openalex.org/W2508865106","https://openalex.org/W2532161561","https://openalex.org/W2588135001","https://openalex.org/W2884517879","https://openalex.org/W2950764014","https://openalex.org/W2965216240","https://openalex.org/W2973946059","https://openalex.org/W2990091831","https://openalex.org/W3003195799","https://openalex.org/W3132586682","https://openalex.org/W3155422817","https://openalex.org/W3157577978","https://openalex.org/W4293363567","https://openalex.org/W6678455560","https://openalex.org/W6681415830"],"related_works":["https://openalex.org/W2327631927","https://openalex.org/W2093568763","https://openalex.org/W69297589","https://openalex.org/W1985166372","https://openalex.org/W2003096546","https://openalex.org/W4289354592","https://openalex.org/W2430210575","https://openalex.org/W2165069859","https://openalex.org/W2099112646","https://openalex.org/W2112258778"],"abstract_inverted_index":{"Finding":[0,85],"Similar":[1,86],"Exercises":[2,87],"(FSE)":[3],"is":[4],"a":[5,47,64,79,110,156],"tough":[6],"nut":[7],"to":[8,51,132,144,160],"crack":[9],"in":[10,37],"online":[11],"education":[12],"systems,":[13],"especially":[14],"among":[15,59,67,103],"large":[16],"scale":[17],"exercise":[18,35,118,145,165],"corpus.":[19],"Given":[20],"exercises":[21],"with":[22],"associated":[23],"attributes,":[24],"contents":[25,41],"(texts":[26],"and":[27,29,82,98,114,119],"images)":[28],"knowledge":[30,143],"concepts,":[31,104],"most":[32],"solutions":[33],"learn":[34],"representations":[36,146],"isolation,":[38],"where":[39],"only":[40],"or":[42],"concepts":[43,68],"are":[44],"exploited.":[45],"Though":[46],"few":[48],"works":[49],"try":[50],"combine":[52],"concept-exercise":[53,96],"associations":[54,97],"for":[55],"capturing":[56],"long-range":[57,136],"similarity":[58,137,163],"exercises,":[60],"they":[61],"just":[62],"utilize":[63],"single":[65],"relation":[66],"but":[69],"neglect":[70],"the":[71,95,99,135,150,162,173],"multiple":[72,100],"dependencies.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77,107,127,154],"propose":[78],"novel":[80],"Dependency":[81],"Association":[83],"enhanced":[84],"framework,":[88],"namely":[89],"DAFSE,":[90],"which":[91],"can":[92],"consider":[93],"both":[94],"dependency":[101],"relations":[102],"simultaneously.":[105],"Specifically,":[106],"first":[108],"build":[109],"concept-exercise-content":[111],"multi-layer":[112,151],"graph":[113],"embed":[115],"each":[116],"concept,":[117],"content":[120],"node":[121],"through":[122],"an":[123],"Embedding":[124],"Layer.":[125],"Then":[126],"introduce":[128],"Attentive":[129],"Combination":[130],"Layer":[131,159],"effectively":[133],"preserve":[134],"as":[138,140],"well":[139],"rich":[141],"domain":[142],"by":[147],"propagating":[148],"on":[149,169],"graph.":[152],"Finally,":[153],"use":[155],"Similarity":[157],"Score":[158],"assess":[161],"of":[164,175],"pairs.":[166],"Extensive":[167],"experiments":[168],"real-world":[170],"datasets":[171],"demonstrate":[172],"effectiveness":[174],"DAFSE.":[176]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}