{"id":"https://openalex.org/W4408946372","doi":"https://doi.org/10.1142/s0218126625503098","title":"FCNN-ItemCF Model for Personalized Training Strategy Recommendations in College Football Courses","display_name":"FCNN-ItemCF Model for Personalized Training Strategy Recommendations in College Football Courses","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4408946372","doi":"https://doi.org/10.1142/s0218126625503098"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126625503098","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625503098","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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/A5109665770","display_name":"Hui jun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huijun Zhang","raw_affiliation_strings":["School of Physical Education, Yancheng Institute of Technology, Yancheng 224001, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Physical Education, Yancheng Institute of Technology, Yancheng 224001, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063424119","display_name":"Husheng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Husheng Chen","raw_affiliation_strings":["China Hong Kong English School, Guangdong 528400, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"China Hong Kong English School, Guangdong 528400, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I176834541"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109665770"],"corresponding_institution_ids":["https://openalex.org/I4210157719"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10099004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"13","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.6722000241279602,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.6722000241279602,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.6510999798774719,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/college-football","display_name":"College football","score":0.7154346704483032},{"id":"https://openalex.org/keywords/football","display_name":"Football","score":0.5693743228912354},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5631008744239807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5278974175453186},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.41283920407295227},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.4029057025909424},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.39169812202453613},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.36301594972610474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3318972885608673},{"id":"https://openalex.org/keywords/engineering-management","display_name":"Engineering management","score":0.3210156261920929},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30111655592918396},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2857344150543213},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22863030433654785},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.13797128200531006}],"concepts":[{"id":"https://openalex.org/C3019685099","wikidata":"https://www.wikidata.org/wiki/Q1109032","display_name":"College football","level":3,"score":0.7154346704483032},{"id":"https://openalex.org/C2778444522","wikidata":"https://www.wikidata.org/wiki/Q1081491","display_name":"Football","level":2,"score":0.5693743228912354},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5631008744239807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5278974175453186},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.41283920407295227},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.4029057025909424},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.39169812202453613},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.36301594972610474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3318972885608673},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.3210156261920929},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30111655592918396},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2857344150543213},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22863030433654785},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.13797128200531006},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126625503098","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625503098","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2967986504","https://openalex.org/W4220933634","https://openalex.org/W4283460876","https://openalex.org/W4311179668","https://openalex.org/W4313892514","https://openalex.org/W4362670926","https://openalex.org/W4366492952","https://openalex.org/W4380371141","https://openalex.org/W4381085846","https://openalex.org/W4381736877","https://openalex.org/W4383104187","https://openalex.org/W4385380955","https://openalex.org/W4386011839","https://openalex.org/W4387267996","https://openalex.org/W4387375109","https://openalex.org/W4388672390","https://openalex.org/W4389394704","https://openalex.org/W4390497056","https://openalex.org/W4391130962","https://openalex.org/W4394794241","https://openalex.org/W4396737856","https://openalex.org/W4400074177","https://openalex.org/W4400229006"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1971660097","https://openalex.org/W2365990048","https://openalex.org/W2015477300","https://openalex.org/W2237606652","https://openalex.org/W2370570388","https://openalex.org/W2353353369","https://openalex.org/W2361383069","https://openalex.org/W101369164","https://openalex.org/W2393768911"],"abstract_inverted_index":{"With":[0],"the":[1,54,70,102,119,163,170,179,193,198,223,236,244,254,259,270,274,278,308,320,324,342,350,353,365,375,390],"increasing":[2],"popularity":[3],"of":[4,18,57,104,249,273,323,341,367,378,394],"football,":[5],"comprehensively":[6],"improving":[7],"students\u2019":[8,35,305],"physical":[9,26,292],"health":[10],"has":[11,38,352],"become":[12,39],"an":[13,97,142],"important":[14],"direction.":[15],"The":[16,138,239,315,361],"concept":[17],"personalized":[19,127,207],"education":[20,46,136,217],"is":[21,336],"gradually":[22],"emerging.":[23],"Especially":[24],"in":[25,60,134,253,264,281],"education,":[27],"how":[28],"to":[29,34,64,125,146,168,196,228,235,303],"conduct":[30,65,126],"customized":[31],"training":[32,90,131,208,246,382,386],"according":[33,234],"specific":[36],"needs":[37],"a":[40,49,174,206,213,298],"hot":[41],"research":[42,129],"topic.":[43],"Traditional":[44],"sports":[45,135],"design":[47,218],"adopts":[48],"unified":[50],"teaching":[51],"method,":[52],"ignoring":[53],"individual":[55],"differences":[56],"students,":[58,229],"resulting":[59],"students":[61],"being":[62],"unable":[63],"targeted":[66],"training,":[67,115],"which":[68,265,335],"affects":[69],"learning":[71],"effect.":[72],"In":[73],"football":[74,94,215,251,310,380,391],"data":[75,187,248,268,272],"processing,":[76],"traditional":[77],"Convolutional":[78,106,326,343],"Neural":[79,107,327,344],"Networks":[80],"(CNN)":[81],"and":[82,88,113,152,159,183,190,201,204,222,258,277,291,295,349,369,388],"other":[83],"models":[84],"have":[85],"large":[86],"parameters":[87],"low":[89],"efficiency.":[91],"Taking":[92],"college":[93,214,250,309,379,395],"courses":[95,252],"as":[96,116,118,173,286],"example,":[98],"this":[99],"paper":[100],"combined":[101,160],"advantages":[103],"Fully":[105,325],"Network\u2019s":[108],"(FCNN)":[109],"full":[110],"convolutional":[111],"layer":[112,167],"end-to-end":[114],"well":[117],"Item":[120],"Collaboration":[121,329,346],"Filter":[122,330,347],"(ItemCF)":[123],"algorithm,":[124],"recommendation":[128,202,210,224,312,321,376],"on":[130,243],"strategy":[132],"content":[133],"design.":[137],"study":[139],"first":[140],"constructed":[141],"FCNN,":[143],"used":[144],"it":[145,161],"extract":[147],"key":[148,282],"action,":[149],"posture,":[150],"speed":[151,294],"stride":[153],"feature":[154,171,176,181],"maps":[155],"from":[156],"video":[157,247,262],"frames,":[158],"with":[162,307],"global":[164],"average":[165],"pooling":[166],"output":[169],"map":[172],"comprehensive":[175],"vector.":[177],"Then,":[178],"user":[180,184,266],"vector":[182],"historical":[185,267],"behavior":[186],"were":[188,226,231],"fused":[189],"input":[191],"into":[192],"ItemCF":[194,370],"algorithm":[195],"calculate":[197],"project":[199,209],"similarity":[200],"weight":[203],"generate":[205],"list.":[211],"Finally,":[212,297],"course":[216,311,381],"platform":[219],"was":[220,241,301],"built,":[221],"results":[225,317,362],"provided":[227],"who":[230],"then":[232],"trained":[233],"recommended":[237],"items.":[238],"experiment":[240],"based":[242],"athlete":[245],"public":[255],"dataset":[256],"Roboflow":[257],"self-collected":[260],"FB":[261],"dataset,":[263],"collected":[269],"evaluation":[271],"experimental":[275,316],"group":[276,280],"control":[279],"action":[283],"skills":[284],"such":[285],"passing,":[287],"ball":[288],"control,":[289],"shooting":[290],"endurance,":[293],"agility.":[296],"questionnaire":[299],"survey":[300],"conducted":[302],"collect":[304],"satisfaction":[306],"system":[313],"designed.":[314],"show":[318,363],"that":[319,340,364],"accuracy":[322,377],"Network-Item":[328],"(FCNN-ItemCF)":[331],"model":[332],"reached":[333],"92.35%,":[334],"6.7%":[337],"higher":[338],"than":[339],"Networks-Item":[345],"(CNN-ItemCF),":[348],"former":[351],"fastest":[354],"convergence":[355],"speed,":[356],"requiring":[357],"only":[358],"40":[359],"epochs.":[360],"combination":[366],"FCNN":[368],"algorithms":[371],"can":[372],"significantly":[373],"improve":[374],"strategies,":[383],"ensure":[384],"high":[385],"efficiency,":[387],"promote":[389],"technical":[392],"level":[393],"students.":[396]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
