{"id":"https://openalex.org/W4386069871","doi":"https://doi.org/10.3233/jifs-230584","title":"Deep recommendation system based on knowledge graph and review text","display_name":"Deep recommendation system based on knowledge graph and review text","publication_year":2023,"publication_date":"2023-08-22","ids":{"openalex":"https://openalex.org/W4386069871","doi":"https://doi.org/10.3233/jifs-230584"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-230584","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230584","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5081723565","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0002-1281-9625"},"institutions":[{"id":"https://openalex.org/I4210101072","display_name":"Shangluo University","ror":"https://ror.org/01a56n213","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101072"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["Engineering Research Center of Qinling Health Welfare Big Data, Universities of Shaanxi Province, Shangluo, China","Faculty of Economics and Management, Shangluo University, Shangluo, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Qinling Health Welfare Big Data, Universities of Shaanxi Province, Shangluo, China","institution_ids":["https://openalex.org/I4210101072"]},{"raw_affiliation_string":"Faculty of Economics and Management, Shangluo University, Shangluo, China","institution_ids":["https://openalex.org/I4210101072"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016311643","display_name":"Zhao Jian-hua","orcid":"https://orcid.org/0000-0001-9605-2275"},"institutions":[{"id":"https://openalex.org/I4210101072","display_name":"Shangluo University","ror":"https://ror.org/01a56n213","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101072"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Zhao","raw_affiliation_strings":["Engineering Research Center of Qinling Health Welfare Big Data, Universities of Shaanxi Province, Shangluo, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Qinling Health Welfare Big Data, Universities of Shaanxi Province, Shangluo, China","institution_ids":["https://openalex.org/I4210101072"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016311643"],"corresponding_institution_ids":["https://openalex.org/I4210101072"],"apc_list":null,"apc_paid":null,"fwci":0.4589,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6806984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"45","issue":"5","first_page":"7661","last_page":"7673"},"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":0.9914000034332275,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8412774205207825},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6930870413780212},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.673570454120636},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5020787715911865},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45824405550956726},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.452536404132843},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45072507858276367},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.42531150579452515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4231414198875427},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3273322582244873},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13090932369232178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8412774205207825},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6930870413780212},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.673570454120636},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5020787715911865},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45824405550956726},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.452536404132843},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45072507858276367},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.42531150579452515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4231414198875427},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3273322582244873},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13090932369232178},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-230584","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230584","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1426956448","https://openalex.org/W1853953842","https://openalex.org/W2127795553","https://openalex.org/W2135598826","https://openalex.org/W2157881433","https://openalex.org/W2475334473","https://openalex.org/W2509893387","https://openalex.org/W2515144511","https://openalex.org/W2575006718","https://openalex.org/W2749348810","https://openalex.org/W2765422230","https://openalex.org/W2788376297","https://openalex.org/W2788728386","https://openalex.org/W2792839191","https://openalex.org/W2797556127","https://openalex.org/W2896306077","https://openalex.org/W2899605173","https://openalex.org/W2907069037","https://openalex.org/W2908404712","https://openalex.org/W2912351665","https://openalex.org/W2913560138","https://openalex.org/W2963146368","https://openalex.org/W2963323306","https://openalex.org/W2966571999","https://openalex.org/W3004516021","https://openalex.org/W3004787227","https://openalex.org/W3005880788","https://openalex.org/W3007438179","https://openalex.org/W3025352596","https://openalex.org/W3043738669","https://openalex.org/W3098087397","https://openalex.org/W3106439716","https://openalex.org/W3124675547","https://openalex.org/W3155928855","https://openalex.org/W4282030237","https://openalex.org/W4285256993","https://openalex.org/W6777757900"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W44246808"],"abstract_inverted_index":{"With":[0],"the":[1,16,50,59,88,103,134,180,192,229,246,254,258],"explosive":[2],"increase":[3],"of":[4,13,18,42,53,61,179,197,209,225],"information,":[5],"recommendation":[6,19,62,66,100,231,269],"system":[7,20,67,232],"is":[8,21,76,106,122,233],"applied":[9],"in":[10,78,129],"a":[11,64],"variety":[12],"areas.":[14],"However,":[15],"performance":[17,60,264],"limited":[22],"due":[23],"to":[24,38,45,98,124,150,166,184,235],"issues":[25],"such":[26],"as":[27,95],"data":[28],"sparsity,":[29],"cold":[30],"starts":[31],"and":[32,56,72,87,112,133,144,157,172,199,211,227,249],"poor":[33],"semantic":[34,51,127],"understanding.":[35],"In":[36,81],"order":[37],"make":[39],"full":[40],"use":[41],"external":[43],"information":[44,52,97,128],"assist":[46],"recommendation,":[47],"deeply":[48],"mine":[49],"review":[54,73,85,104,110,114,131],"text":[55,74,86,105,111,132],"further":[57],"improve":[58,99],"system,":[63],"deep":[65,207,230],"based":[68,190,215],"on":[69,191,216,245],"knowledge":[70,83,158],"graph":[71,159],"(Drs-kgrt)":[75],"proposed":[77,259],"this":[79],"paper.":[80],"Drs-kgrt,":[82],"graph,":[84],"social":[89,135],"records":[90,136],"between":[91,137,142],"users":[92,143,198,210,226],"are":[93,147,164,182,201,213,243],"used":[94,123],"auxiliary":[96],"performance.":[101],"Firstly,":[102],"divided":[107],"into":[108],"user":[109,130,145,152,217,237],"item":[113,168,186,220],"text.":[115],"BERT":[116,156],"(Bidirectional":[117],"Encoder":[118],"Representation":[119],"from":[120],"Transformers)":[121],"accurately":[125],"understand":[126],"users.":[138],"The":[139,176,206],"trust":[140],"relationship":[141],"preferences":[146],"fully":[148],"mined":[149],"form":[151,185],"feature":[153,170,187,218,221],"vectors.":[154,188],"Secondly,":[155],"entity":[160],"recognition":[161],"link":[162],"technology":[163],"combined":[165],"extract":[167],"attribute":[169],"entities":[171],"their":[173],"associated":[174],"entities.":[175],"fine-grained":[177],"features":[178,208],"items":[181,200,212],"analyzed":[183],"Thirdly,":[189],"scoring":[193],"matrix,":[194],"latent":[195,223],"vectors":[196,224],"obtained":[202],"by":[203],"matrix":[204],"decomposition.":[205],"generated":[214],"vectors,":[219,222],"items,":[228],"established":[234],"predict":[236],"scores":[238],"for":[239],"items.":[240],"Finally,":[241],"experiments":[242],"conducted":[244],"Douban":[247],"dataset":[248],"Amazon":[250],"Movie":[251],"Review":[252],"dataset,":[253],"results":[255],"show":[256],"that":[257],"algorithm":[260],"can":[261],"achieve":[262],"better":[263],"compared":[265],"with":[266],"other":[267],"benchmark":[268],"algorithms.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}