乐胖代购免代理版

{"id":"https://openalex.org/W4323022392","doi":"https://doi.org/10.1109/tkde.2023.3251897","title":"Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System","display_name":"Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System","publication_year":2023,"publication_date":"2023-03-02","ids":{"openalex":"https://openalex.org/W4323022392","doi":"https://doi.org/10.1109/tkde.2023.3251897"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3251897","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5102858320","display_name":"Min Gao","orcid":"https://orcid.org/0000-0002-4238-6277"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Gao","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632977","display_name":"Jian-Yu Li","orcid":"https://orcid.org/0000-0002-6143-9207"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"funder","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jian-Yu Li","raw_affiliation_strings":["Hanyang University, Ansan, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667062","display_name":"Chunhua Chen","orcid":"https://orcid.org/0000-0002-4087-5309"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Hua Chen","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743577","display_name":"Yun Li","orcid":"https://orcid.org/0000-0002-6575-1839"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, Guangdong, China","i4AI Ltd., London, U.K."],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, Guangdong, China","institution_ids":[]},{"raw_affiliation_string":"i4AI Ltd., London, U.K.","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"funder","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Hanyang University, Ansan, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011145004","display_name":"Zhi\u2010Hui Zhan","orcid":"https://orcid.org/0000-0003-0862-0514"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hui Zhan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.269,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.999978,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"35","issue":"10","first_page":"10281","last_page":"10294"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9999,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9999,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998,"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/T10028","display_name":"Topic Modeling","score":0.9947,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80222243},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.65606993},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5800668},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5537841},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5505167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47466233},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.41964146},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3843413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3283376},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20611471},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1919485},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3251897","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.56,"display_name":"Quality education"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"92270105"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62176094"},{"funder":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea","award_id":"NRF-2020R1C1C1013806"},{"funder":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea","award_id":"NRF-2022H1D3A2A01093478"}],"datasets":[],"versions":[],"referenced_works_count":52,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1853953842","https://openalex.org/W2010187764","https://openalex.org/W2026969803","https://openalex.org/W2084527756","https://openalex.org/W2094286023","https://openalex.org/W2133266261","https://openalex.org/W2150449434","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2475334473","https://openalex.org/W2509893387","https://openalex.org/W2516255829","https://openalex.org/W2556468274","https://openalex.org/W2558460151","https://openalex.org/W2575006718","https://openalex.org/W2604314403","https://openalex.org/W2743159750","https://openalex.org/W2759136286","https://openalex.org/W2884134047","https://openalex.org/W2889969789","https://openalex.org/W2907492528","https://openalex.org/W2907523279","https://openalex.org/W2911778742","https://openalex.org/W2912351665","https://openalex.org/W2912664727","https://openalex.org/W2949972983","https://openalex.org/W2951105272","https://openalex.org/W2963168538","https://openalex.org/W2963869731","https://openalex.org/W2963877604","https://openalex.org/W2964247799","https://openalex.org/W2965209830","https://openalex.org/W2998103904","https://openalex.org/W3034364571","https://openalex.org/W3035566692","https://openalex.org/W3084915134","https://openalex.org/W3091993229","https://openalex.org/W3098087397","https://openalex.org/W3101157305","https://openalex.org/W3106439716","https://openalex.org/W3110797472","https://openalex.org/W3124449569","https://openalex.org/W3161775899","https://openalex.org/W3199183478","https://openalex.org/W3213189216","https://openalex.org/W4213279801","https://openalex.org/W4226202983","https://openalex.org/W4281752026","https://openalex.org/W4313291093","https://openalex.org/W4389875177"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W4238861846","https://openalex.org/W3197542405","https://openalex.org/W3092950680","https://openalex.org/W2888033806","https://openalex.org/W2418190244","https://openalex.org/W2150182025","https://openalex.org/W2045408812"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,49,70,83,117,131,136,145,151,158,175,180,184,197,218,226,232],"m":[6],"ulti-task":[7],"learning":[8],"for":[9,125,168,186,212],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">k":[12],"nowledge":[13],"graph-based":[14],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">r":[17],"ecommender":[18],"system,":[19],"termed":[20],"MKR,":[21],"has":[22,28,54],"shown":[23],"its":[24],"promising":[25],"performance":[26],"and":[27,36,73,134,207],"attracted":[29],"increasing":[30],"interest,":[31],"because":[32],"a":[33,37,162,169],"recommendation":[34,71,132,176],"task":[35,42,72,177],"knowledge":[38],"graph":[39,138],"embedding":[40],"(KGE)":[41],"can":[43,221],"help":[44],"each":[45],"other":[46],"to":[47,63,76,90,115,120,142,156,178,188,195],"improve":[48],"recommendation.":[50],"However,":[51],"MKR":[52,106],"still":[53],"two":[55,110],"difficult":[56],"issues.":[57],"The":[58,86,214],"first":[59,159],"is":[60,88,166],"how":[61,74,89],"fully":[62,75,143],"capture":[64,144],"users'":[65,122],"historical":[66,123],"behavior":[67,124],"pattern":[68],"in":[69,82,130,150,174,231],"utilize":[77,116,135],"deep":[78,146],"multi-relation":[79,147],"semantic":[80],"information":[81],"KGE":[84,152],"task.":[85],"second":[87,198],"deal":[91],"with":[92,94,109,190],"datasets":[93,189,206],"different":[95,191],"sparsity.":[96],"Tackling":[97],"these":[98],"challenging":[99],"issues,":[100],"this":[101],"paper":[102],"proposes":[103],"an":[104],"enhanced":[105],"(EMKR)":[107],"approach":[108],"novelties.":[111],"First,":[112],"we":[113],"propose":[114],"attention":[118],"mechanism":[119],"aggregate":[121],"more":[126],"accurately":[127],"mining":[128],"preferences":[129],"task,":[133,153],"relation-aware":[137],"convolutional":[139],"neural":[140],"network":[141],"neighborhood":[148],"features":[149],"so":[154,193],"as":[155,194],"address":[157,196],"issue.":[160,199],"Second,":[161],"two-part":[163],"modeling":[164],"strategy":[165],"proposed":[167,219],"better":[170],"representation":[171],"of":[172,183],"users":[173],"expand":[179],"expressive":[181],"ability":[182],"model":[185],"adapting":[187],"sparsity,":[192],"Extensive":[200],"experiments":[201],"are":[202,210,237],"conducted":[203],"on":[204],"widely-used":[205],"11":[208],"approaches":[209],"used":[211],"comparison.":[213],"results":[215],"show":[216],"that":[217],"EMKR":[220],"achieve":[222],"substantial":[223],"gains":[224],"over":[225],"compared":[227],"state-of-the-art":[228],"approaches,":[229],"especially":[230],"situation":[233],"where":[234],"user-item":[235],"interactions":[236],"sparse.":[238]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4323022392","counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":10}],"updated_date":"2025-04-18T09:41:16.970883","created_date":"2023-03-04"}