{"id":"https://openalex.org/W3200143120","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533556","title":"A Multi-Task Learning Approach for Recommendation based on Knowledge Graph","display_name":"A Multi-Task Learning Approach for Recommendation based on Knowledge Graph","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200143120","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533556","mag":"3200143120"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5057832613","display_name":"Cairong Yan","orcid":"https://orcid.org/0000-0003-0313-8833"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cairong Yan","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090788114","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0001-9909-0664"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Liu","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611270","display_name":"Yanting Zhang","orcid":"https://orcid.org/0000-0001-6317-1956"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanting Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371707","display_name":"Zijian Wang","orcid":"https://orcid.org/0000-0002-7190-9620"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Wang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100614748","display_name":"Pengwei Wang","orcid":"https://orcid.org/0000-0002-5667-3488"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengwei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057832613"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.5508,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73204754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9952999949455261,"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/T12488","display_name":"Mental Health via Writing","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8204984068870544},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6881874799728394},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.621853768825531},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5897807478904724},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.546421468257904},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5128865242004395},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5033108592033386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5005223751068115},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48661693930625916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4814454913139343},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.46090754866600037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32033318281173706},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14566245675086975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8204984068870544},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6881874799728394},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.621853768825531},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5897807478904724},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.546421468257904},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5128865242004395},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5033108592033386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5005223751068115},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48661693930625916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4814454913139343},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.46090754866600037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32033318281173706},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14566245675086975},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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":[{"id":"doi:10.1109/ijcnn52387.2021.9533556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3534497383","display_name":null,"funder_award_id":"2232021D-25","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5567883734","display_name":null,"funder_award_id":"19ZR1401900","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W205829674","https://openalex.org/W2010187764","https://openalex.org/W2026969803","https://openalex.org/W2094286023","https://openalex.org/W2127795553","https://openalex.org/W2145544171","https://openalex.org/W2151464835","https://openalex.org/W2157881433","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2295739661","https://openalex.org/W2509893387","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2612900438","https://openalex.org/W2772021946","https://openalex.org/W2792839191","https://openalex.org/W2803718882","https://openalex.org/W2809290718","https://openalex.org/W2893775232","https://openalex.org/W2907523279","https://openalex.org/W2911778742","https://openalex.org/W2912351665","https://openalex.org/W2913560138","https://openalex.org/W2949972983","https://openalex.org/W2951001079","https://openalex.org/W2962989965","https://openalex.org/W2962992837","https://openalex.org/W2963869731","https://openalex.org/W2963911286","https://openalex.org/W2964140943","https://openalex.org/W2964182926","https://openalex.org/W2964737815","https://openalex.org/W2973172293","https://openalex.org/W3091993229","https://openalex.org/W3098087397","https://openalex.org/W3098923689","https://openalex.org/W3106439716","https://openalex.org/W3109259013","https://openalex.org/W4232449914","https://openalex.org/W6608344535","https://openalex.org/W6678830454","https://openalex.org/W6681270447","https://openalex.org/W6695596964","https://openalex.org/W6737547214"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W2202724490"],"abstract_inverted_index":{"Sparsity":[0],"and":[1,52,121,141,159,172],"cold":[2],"start":[3],"problem":[4],"are":[5],"two":[6,74],"classic":[7],"problems":[8],"of":[9,184],"collaborative":[10],"filtering.":[11],"To":[12,66],"alleviate":[13],"these":[14,73],"issues,":[15],"researchers":[16],"usually":[17],"add":[18],"side":[19,62,94],"information":[20,63,71,95],"to":[21,25,60,87,106,114,145,164],"the":[22,27,49,53,69,103,127,131,146,165,182],"recommendation":[23,39,47,104,189],"models":[24],"boost":[26],"performance.":[28,190],"In":[29],"this":[30],"paper,":[31],"we":[32],"propose":[33],"a":[34,76,93],"multi-task":[35],"learning":[36],"approach":[37],"for":[38,64],"based":[40,81],"on":[41,82],"knowledge":[42,54,185],"graph":[43,55],"(KGeRec),":[44],"which":[45],"takes":[46],"as":[48,56],"main":[50],"task":[51,59,105],"an":[57],"auxiliary":[58],"provide":[61],"recommendation.":[65],"fully":[67],"capture":[68],"correlation":[70],"between":[72,90],"tasks,":[75],"feature":[77,109],"interaction":[78],"layer":[79,97],"(FlU)":[80],"cross":[83],"networks":[84],"is":[85,99],"designed":[86,101],"share":[88],"features":[89],"them.":[91],"Besides,":[92],"embedding":[96],"(SIE)":[98],"also":[100,180],"in":[102,135,138,142,149,154,157,161,168,176,187],"exploit":[107],"more":[108],"information.":[110],"We":[111,179],"apply":[112],"KGeRec":[113,129],"three":[115],"public":[116],"datasets":[117],"about":[118],"movie,":[119],"book,":[120],"music.":[122],"Experimental":[123],"results":[124],"show":[125],"that":[126],"proposed":[128],"outperforms":[130],"state-of-the-art":[132],"approaches":[133],"(+2.2%":[134],"AUC,":[136,155],"+2.6%":[137],"Accuracy,":[139,158],"+2.5%":[140],"F1-score,":[143,162],"compared":[144,163],"maximum":[147,166],"value":[148,167],"Type":[150,169],"I":[151],"models;":[152],"+1.3%":[153],"+0.8%":[156],"+2%":[160],"II":[170],"models)":[171],"it":[173],"performs":[174],"well":[175],"sparse":[177],"datasets.":[178],"validate":[181],"effectiveness":[183],"graphs":[186],"improving":[188]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
