{"id":"https://openalex.org/W2893775232","doi":"https://doi.org/10.1145/3240323.3240361","title":"Recurrent knowledge graph embedding for effective recommendation","display_name":"Recurrent knowledge graph embedding for effective recommendation","publication_year":2018,"publication_date":"2018-09-27","ids":{"openalex":"https://openalex.org/W2893775232","doi":"https://doi.org/10.1145/3240323.3240361","mag":"2893775232"},"language":"en","primary_location":{"id":"doi:10.1145/3240323.3240361","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240323.3240361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033957641","display_name":"Zhu Sun","orcid":"https://orcid.org/0000-0002-3350-7022"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhu Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029123550","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-0350-0313"},"institutions":[{"id":"https://openalex.org/I154338468","display_name":"University of Fribourg","ror":"https://ror.org/022fs9h90","country_code":"CH","type":"education","lineage":["https://openalex.org/I154338468"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["University of Fribourg, Fribourg, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436659","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0001-8996-7581"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028101938","display_name":"Alessandro Bozzon","orcid":"https://orcid.org/0000-0002-3300-2913"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alessandro Bozzon","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003953967","display_name":"Long-Kai Huang","orcid":"https://orcid.org/0000-0001-5263-1443"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Long-Kai Huang","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028317321","display_name":"Chi Xu","orcid":"https://orcid.org/0000-0001-5480-3974"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chi Xu","raw_affiliation_strings":["Singapore Institute of Manufacturing Technology, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Manufacturing Technology, Singapore","institution_ids":["https://openalex.org/I4210091207"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":373,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"305"},"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":0.9997000098228455,"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":0.9988999962806702,"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":0.826353132724762},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.7484666705131531},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7340480089187622},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6427316665649414},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6275291442871094},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5997079014778137},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.50794917345047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47204646468162537},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.44672736525535583},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44276660680770874},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.43141505122184753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3421502709388733},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3287457525730133},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10048288106918335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.826353132724762},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.7484666705131531},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7340480089187622},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6427316665649414},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6275291442871094},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5997079014778137},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.50794917345047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47204646468162537},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.44672736525535583},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44276660680770874},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.43141505122184753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3421502709388733},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3287457525730133},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10048288106918335}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3240323.3240361","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240323.3240361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:9a3559e9-27b6-47cd-820d-d7ecc76cbc06","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:9a3559e9-27b6-47cd-820d-d7ecc76cbc06","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W21207210","https://openalex.org/W103340358","https://openalex.org/W1508314812","https://openalex.org/W1538131130","https://openalex.org/W1774304772","https://openalex.org/W1888005072","https://openalex.org/W1971129545","https://openalex.org/W2008886893","https://openalex.org/W2010187764","https://openalex.org/W2017710739","https://openalex.org/W2042281163","https://openalex.org/W2047729491","https://openalex.org/W2070700141","https://openalex.org/W2086511124","https://openalex.org/W2095705004","https://openalex.org/W2102937240","https://openalex.org/W2117420919","https://openalex.org/W2131774270","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2154851992","https://openalex.org/W2158899491","https://openalex.org/W2161984370","https://openalex.org/W2184957013","https://openalex.org/W2240038312","https://openalex.org/W2241862190","https://openalex.org/W2245341025","https://openalex.org/W2295739661","https://openalex.org/W2509893387","https://openalex.org/W2510906045","https://openalex.org/W2516131069","https://openalex.org/W2550483918","https://openalex.org/W2558799462","https://openalex.org/W2583674722","https://openalex.org/W2605174772","https://openalex.org/W2605350416","https://openalex.org/W2609678640","https://openalex.org/W2788585226","https://openalex.org/W2949300694","https://openalex.org/W2949888546","https://openalex.org/W2950178297","https://openalex.org/W2952230511","https://openalex.org/W2962756421","https://openalex.org/W2963895127","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W6683738474"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Knowledge":[0],"graphs":[1],"(KGs)":[2],"have":[3],"proven":[4],"to":[5,8,68,91],"be":[6],"effective":[7],"improve":[9],"recommendation.":[10,84],"Existing":[11],"methods":[12],"mainly":[13],"rely":[14],"on":[15,106],"hand-engineered":[16],"features":[17],"from":[18],"KGs":[19],"(e.g.,":[20],"meta":[21],"paths),":[22],"which":[23,79],"requires":[24],"domain":[25],"knowledge.":[26],"This":[27],"paper":[28],"presents":[29],"RKGE,":[30],"a":[31,56,63,75,88],"KG":[32],"embedding":[33],"approach":[34],"that":[35,61,120],"automatically":[36],"learns":[37],"semantic":[38],"representations":[39],"of":[40,65,72,95,112],"both":[41],"entities":[42,46],"and":[43],"paths":[44,73,97],"between":[45],"for":[47,125],"characterizing":[48,99],"user":[49,100],"preferences":[50,101],"towards":[51,102],"items.":[52,103],"Specifically,":[53],"RKGE":[54,113,121],"employs":[55,87],"novel":[57],"recurrent":[58,66],"network":[59],"architecture":[60],"contains":[62],"batch":[64],"networks":[67],"model":[69],"the":[70,93,110],"semantics":[71],"linking":[74],"same":[76],"entity":[77],"pair,":[78],"are":[80],"seamlessly":[81],"fused":[82],"into":[83],"It":[85],"further":[86],"pooling":[89],"operator":[90],"discriminate":[92],"saliency":[94],"different":[96],"in":[98],"Extensive":[104],"validation":[105],"real-world":[107],"datasets":[108],"shows":[109],"superiority":[111],"against":[114],"state-of-the-art":[115],"methods.":[116],"Furthermore,":[117],"we":[118],"show":[119],"provides":[122],"meaningful":[123],"explanations":[124],"recommendation":[126],"results.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":62},{"year":2023,"cited_by_count":65},{"year":2022,"cited_by_count":67},{"year":2021,"cited_by_count":58},{"year":2020,"cited_by_count":51},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}
