{"id":"https://openalex.org/W2887041795","doi":"https://doi.org/10.1145/3210713.3210728","title":"Utilizing knowledge graph and student testing behavior data for personalized exercise recommendation","display_name":"Utilizing knowledge graph and student testing behavior data for personalized exercise recommendation","publication_year":2018,"publication_date":"2018-05-18","ids":{"openalex":"https://openalex.org/W2887041795","doi":"https://doi.org/10.1145/3210713.3210728","mag":"2887041795"},"language":"en","primary_location":{"id":"doi:10.1145/3210713.3210728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3210713.3210728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of ACM Turing Celebration Conference - China","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041894655","display_name":"Pin Lv","orcid":"https://orcid.org/0000-0002-3425-9913"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Lv","raw_affiliation_strings":["Guangxi University, Nanning, China and Guangxi Key Laboratory of Multimedia Communications and Network Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi University, Nanning, China and Guangxi Key Laboratory of Multimedia Communications and Network Technology","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696219","display_name":"Xiaoxin Wang","orcid":"https://orcid.org/0000-0003-1282-8481"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxin Wang","raw_affiliation_strings":["Guangxi University, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042055991","display_name":"Jia Xu","orcid":"https://orcid.org/0000-0003-4061-8262"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Xu","raw_affiliation_strings":["Guangxi University, Nanning, China and Guangxi Key Laboratory of Multimedia Communications and Network Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi University, Nanning, China and Guangxi Key Laboratory of Multimedia Communications and Network Technology","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062869202","display_name":"Junbin Wang","orcid":"https://orcid.org/0000-0002-2933-7892"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbin Wang","raw_affiliation_strings":["Guangxi University, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150807315"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9983999729156494,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.7763708829879761},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7136306762695312},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6675507426261902},{"id":"https://openalex.org/keywords/personalized-learning","display_name":"Personalized learning","score":0.569308340549469},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47320789098739624},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4305709898471832},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3878237009048462},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34131038188934326},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3281216621398926},{"id":"https://openalex.org/keywords/teaching-method","display_name":"Teaching method","score":0.13124486804008484},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1006438136100769},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.09949034452438354},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09600543975830078}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763708829879761},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7136306762695312},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6675507426261902},{"id":"https://openalex.org/C142039133","wikidata":"https://www.wikidata.org/wiki/Q3620943","display_name":"Personalized learning","level":5,"score":0.569308340549469},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47320789098739624},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4305709898471832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3878237009048462},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34131038188934326},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3281216621398926},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.13124486804008484},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1006438136100769},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.09949034452438354},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09600543975830078},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.0},{"id":"https://openalex.org/C15122004","wikidata":"https://www.wikidata.org/wiki/Q385756","display_name":"Open learning","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3210713.3210728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3210713.3210728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of ACM Turing Celebration Conference - China","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6800000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1604644367","https://openalex.org/W2107598941","https://openalex.org/W2158515176","https://openalex.org/W2247119764","https://openalex.org/W2337351188","https://openalex.org/W2383250970","https://openalex.org/W2399656783","https://openalex.org/W2532161561","https://openalex.org/W2561158044","https://openalex.org/W2951506845","https://openalex.org/W3145190189","https://openalex.org/W4285042649","https://openalex.org/W6710067589"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W4390273403","https://openalex.org/W1538046993","https://openalex.org/W4239293476"],"abstract_inverted_index":{"Personalized":[0],"exercise":[1,19,92,103],"recommendation":[2,20,30,104,109],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,29,62,90,106],"boosting":[8],"the":[9,23,35,58,67,73,80,88,98],"study":[10,55],"performance":[11],"of":[12,26,49,60,72,76,100,108],"students.":[13],"However,":[14],"recent":[15],"studies":[16],"for":[17],"personalized":[18,91,102],"only":[21],"take":[22,34],"learning":[24,47,74],"status":[25,75],"a":[27,45,54,77],"student":[28,78],"and":[31,79,111],"fail":[32],"to":[33,86],"prerequisite":[36,81],"relationships":[37],"among":[38,83],"knowledge":[39,51,84],"points":[40,52,85],"into":[41],"account":[42],"which":[43],"represent":[44],"reasonable":[46],"sequence":[48],"these":[50],"during":[53],"procedure.":[56],"To":[57],"best":[59],"knowledge,":[61],"this":[63],"paper,":[64],"we":[65],"make":[66],"first":[68],"attempt":[69],"employing":[70],"both":[71],"dependencies":[82],"enhance":[87],"effectiveness":[89,99],"recommendation.":[93],"A":[94],"real-case":[95],"evaluation":[96],"confirms":[97],"our":[101],"algorithm":[105],"terms":[107],"precision":[110],"diversity.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
