{"id":"https://openalex.org/W2883722483","doi":"https://doi.org/10.1162/dint_a_00008","title":"KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems","display_name":"KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems","publication_year":2019,"publication_date":"2019-04-29","ids":{"openalex":"https://openalex.org/W2883722483","doi":"https://doi.org/10.1162/dint_a_00008","mag":"2883722483"},"language":"en","primary_location":{"id":"doi:10.1162/dint_a_00008","is_oa":true,"landing_page_url":"https://doi.org/10.1162/dint_a_00008","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/dint_a_00008","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/dint_a_00008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037145565","display_name":"Wayne Xin Zhao","orcid":"https://orcid.org/0000-0002-8333-6196"},"institutions":[{"id":"https://openalex.org/I4210103553","display_name":"Wojew\u00f3dzki Szpital Specjalistyczny nr 4 w Bytomiu","ror":"https://ror.org/014xb2303","country_code":"PL","type":"healthcare","lineage":["https://openalex.org/I4210103553"]},{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN","PL"],"is_corresponding":true,"raw_author_name":"Wayne Xin Zhao","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing 100872, China","Wayne Xin Zhao is currently an associate professor at the School of Information, Renmin University of China. He received his PhD Degree from Peking University in 2014. His research interests are recommender systems and natural language processing. He has published more than 50 referred papers in international conferences and journals"],"raw_orcid":"https://orcid.org/0000-0002-8333-6196","affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing 100872, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Wayne Xin Zhao is currently an associate professor at the School of Information, Renmin University of China. He received his PhD Degree from Peking University in 2014. His research interests are recommender systems and natural language processing. He has published more than 50 referred papers in international conferences and journals","institution_ids":["https://openalex.org/I4210103553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073826103","display_name":"Gaole He","orcid":"https://orcid.org/0000-0002-8152-4791"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaole He","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing 100872, China","Gaole He is currently a graduate student at the School of Information, Renmin University of China. He received his Bachelor Degree from School of Information, Renmin University of China in 2018. His research mainly focuses on knowledge graph, deep learning and network embedding"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing 100872, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Gaole He is currently a graduate student at the School of Information, Renmin University of China. He received his Bachelor Degree from School of Information, Renmin University of China in 2018. His research mainly focuses on knowledge graph, deep learning and network embedding","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101929692","display_name":"Kunlin Yang","orcid":"https://orcid.org/0000-0002-9179-7363"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunlin Yang","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing 100872, China","Kunlin Yang is currently an undergrduate student in the School of Information, Renmin University of China. He is expected to receive his Bachelor of Engineering Degree in 2019. His research interests include recommender systems and knowledge graph"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing 100872, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Kunlin Yang is currently an undergrduate student in the School of Information, Renmin University of China. He is expected to receive his Bachelor of Engineering Degree in 2019. His research interests include recommender systems and knowledge graph","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049631536","display_name":"Hongjian Dou","orcid":"https://orcid.org/0009-0008-1331-1832"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjian Dou","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing 100872, China","Hongjian Dou is currently a graduate student at the School of Information, Renmin University of China. He is working in Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing. His research mainly focuses on natural language processing, deep learning and recommender systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing 100872, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Hongjian Dou is currently a graduate student at the School of Information, Renmin University of China. He is working in Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing. His research mainly focuses on natural language processing, deep learning and recommender systems","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069858475","display_name":"Jin Huang","orcid":"https://orcid.org/0000-0003-2285-5248"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Huang","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing 100872, China","Jin Huang is currently a graduate student at the School of Information, Renmin University of China. She is working in Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing. Her research interests include recommender systems, deep learning and knowledge base"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing 100872, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Jin Huang is currently a graduate student at the School of Information, Renmin University of China. She is working in Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing. Her research interests include recommender systems, deep learning and knowledge base","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089841591","display_name":"Siqi Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4210149000","display_name":"Jacobs Institute","ror":"https://ror.org/04c00sd86","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210149000"]},{"id":"https://openalex.org/I4405261073","display_name":"Cornell Tech","ror":"https://ror.org/04qscbg47","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4405261073"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siqi Ouyang","raw_affiliation_strings":["Jacobs Technion-Cornell Institute, Cornell Tech, New York 10044, USA","Siqi Ouyang is currently a graduate student at the Jacobs Technion-Cornell Institute, Cornell Tech. She received her bachelor's degree from Renmin University of China in 2018. Her research mainly focuses on deep learning in natural language processing and recommendation systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jacobs Technion-Cornell Institute, Cornell Tech, New York 10044, USA","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4210149000","https://openalex.org/I4405261073"]},{"raw_affiliation_string":"Siqi Ouyang is currently a graduate student at the Jacobs Technion-Cornell Institute, Cornell Tech. She received her bachelor's degree from Renmin University of China in 2018. Her research mainly focuses on deep learning in natural language processing and recommendation systems","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4210149000","https://openalex.org/I4405261073"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing 100872, China","Ji-Rong Wen is a professor in the School of Information, Renmin University of China. He is also the director of the Beijing Key Laboratory of Big Data Management and Analysis Methods. Before that, he was a senior researcher and group manager of the Web Search and Mining Group at MSRA. His main research interests include big data management and analytics, information retrieval, data mining and machine learning. He is currently the associate editor of the ACM Transactions on Information Systems (TOIS). He is a senior member of the IEEE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing 100872, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Ji-Rong Wen is a professor in the School of Information, Renmin University of China. He is also the director of the Beijing Key Laboratory of Big Data Management and Analysis Methods. Before that, he was a senior researcher and group manager of the Web Search and Mining Group at MSRA. His main research interests include big data management and analytics, information retrieval, data mining and machine learning. He is currently the associate editor of the ACM Transactions on Information Systems (TOIS). He is a senior member of the IEEE","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5037145565"],"corresponding_institution_ids":["https://openalex.org/I4210103553","https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":16.5163,"has_fulltext":true,"cited_by_count":130,"citation_normalized_percentile":{"value":0.98982154,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"1","issue":"2","first_page":"121","last_page":"136"},"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":0.998199999332428,"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/T10028","display_name":"Topic Modeling","score":0.9968000054359436,"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":0.8372781872749329},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8297777771949768},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.80951988697052},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.710591197013855},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6258580088615417},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5970293283462524},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5817064642906189},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5730462074279785},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5036935210227966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39967548847198486},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.38923317193984985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18873310089111328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8372781872749329},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8297777771949768},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.80951988697052},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.710591197013855},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6258580088615417},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5970293283462524},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5817064642906189},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5730462074279785},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5036935210227966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39967548847198486},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.38923317193984985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18873310089111328},{"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/dint_a_00008","is_oa":true,"landing_page_url":"https://doi.org/10.1162/dint_a_00008","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/dint_a_00008","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1136ab1dd74e447b9339c4a4b942f25c","is_oa":true,"landing_page_url":"https://doaj.org/article/1136ab1dd74e447b9339c4a4b942f25c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Intelligence, Vol 1, Iss 2, Pp 121-136 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/dint_a_00008","is_oa":true,"landing_page_url":"https://doi.org/10.1162/dint_a_00008","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/dint_a_00008","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G3634295602","display_name":null,"funder_award_id":"61832017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5859226697","display_name":null,"funder_award_id":"61502502","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G887912752","display_name":"\u57fa\u4e8e\u8bb0\u5fc6\u589e\u5f3a\u795e\u7ecf\u7f51\u7edc\u7684\u7528\u6237\u5174\u8da3\u7406\u89e3\u4e0e\u4e2a\u6027\u5316\u63a8\u8350\u6280\u672f\u7814\u7a76","funder_award_id":"61872369","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2883722483.pdf","grobid_xml":"https://content.openalex.org/works/W2883722483.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W21207210","https://openalex.org/W171931187","https://openalex.org/W1977998106","https://openalex.org/W1981419611","https://openalex.org/W2010187764","https://openalex.org/W2021664967","https://openalex.org/W2022150326","https://openalex.org/W2022166150","https://openalex.org/W2028485238","https://openalex.org/W2054141820","https://openalex.org/W2075010670","https://openalex.org/W2093219534","https://openalex.org/W2094286023","https://openalex.org/W2122865749","https://openalex.org/W2127795553","https://openalex.org/W2135598826","https://openalex.org/W2140310134","https://openalex.org/W2189936406","https://openalex.org/W2213490078","https://openalex.org/W2219888463","https://openalex.org/W2294501066","https://openalex.org/W2314598940","https://openalex.org/W2509893387","https://openalex.org/W2523367416","https://openalex.org/W2573032014","https://openalex.org/W2759136286","https://openalex.org/W2867941393","https://openalex.org/W2884134047","https://openalex.org/W2907607062","https://openalex.org/W2963707260","https://openalex.org/W2963869731"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2080567403","https://openalex.org/W2539387137","https://openalex.org/W2374952201","https://openalex.org/W2518037665","https://openalex.org/W3177075132"],"abstract_inverted_index":{"To":[0],"develop":[1],"a":[2,6,46,56,109,116],"knowledge-aware":[3,123],"recommender":[4,21],"system,":[5],"key":[7],"issue":[8],"is":[9],"how":[10],"to":[11,115],"obtain":[12],"rich":[13],"and":[14,79,93,105],"structured":[15],"knowledge":[16],"base":[17],"(KB)":[18],"information":[19,33,61],"for":[20,62],"system":[22],"(RS)":[23],"items.":[24],"Existing":[25],"data":[26,57,71,85,129],"sets":[27,72],"or":[28,44],"methods":[29],"either":[30],"use":[31],"side":[32],"from":[34],"original":[35],"RSs":[36],"(containing":[37],"very":[38],"few":[39],"kinds":[40],"of":[41,99],"useful":[42],"information)":[43],"utilize":[45],"private":[47],"KB.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,87,95,120],"present":[53],"KB4Rec":[54],"v1.0,":[55],"set":[58],"linking":[59],"KB":[60,117],"RSs.":[63],"It":[64],"has":[65],"linked":[66,84,114,128],"three":[67],"widely":[68],"used":[69],"RS":[70,110],"with":[73],"two":[74,100],"popular":[75],"KBs,":[76],"namely":[77],"Freebase":[78],"YAGO.":[80],"Based":[81],"on":[82,107,126],"our":[83,127],"set,":[86],"first":[88],"preform":[89],"qualitative":[90],"analysis":[91],"experiments,":[92],"then":[94],"discuss":[96],"the":[97],"effect":[98],"important":[101],"factors":[102],"(i.e.,":[103],"popularity":[104],"recency)":[106],"whether":[108],"item":[111],"can":[112],"be":[113],"entity.":[118],"Finally,":[119],"compare":[121],"several":[122],"recommendation":[124],"algorithms":[125],"set.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
