{"id":"https://openalex.org/W2950275995","doi":"https://doi.org/10.1145/3331184.3331203","title":"Reinforcement Knowledge Graph Reasoning for Explainable Recommendation","display_name":"Reinforcement Knowledge Graph Reasoning for Explainable Recommendation","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2950275995","doi":"https://doi.org/10.1145/3331184.3331203","mag":"2950275995"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.05237","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yikun Xian","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yikun Xian","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zuohui Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zuohui Fu","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":null,"display_name":"S. Muthukrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Muthukrishnan","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gerard de Melo","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerard de Melo","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yongfeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongfeng Zhang","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":56.7218,"has_fulltext":false,"cited_by_count":416,"citation_normalized_percentile":{"value":0.99869082,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"294"},"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":0.9987999796867371,"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":0.9894999861717224,"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/interpretability","display_name":"Interpretability","score":0.8253999948501587},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5497999787330627},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.46380001306533813},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.45260000228881836},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.44620001316070557},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4410000145435333},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.35839998722076416},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.3472000062465668},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.34209999442100525}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8253999948501587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301999926567078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6133999824523926},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5497999787330627},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.46380001306533813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.462799996137619},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.45260000228881836},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.44620001316070557},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.3368000090122223},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.29679998755455017},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2621000111103058}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3331184.3331203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.05237","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.05237","pdf_url":"https://arxiv.org/pdf/1906.05237","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.05237","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.05237","pdf_url":"https://arxiv.org/pdf/1906.05237","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1095970959","https://openalex.org/W1999047234","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2061873838","https://openalex.org/W2152184085","https://openalex.org/W2155106456","https://openalex.org/W2159094788","https://openalex.org/W2509893387","https://openalex.org/W2575006718","https://openalex.org/W2605350416","https://openalex.org/W2734755249","https://openalex.org/W2767724106","https://openalex.org/W2787933113","https://openalex.org/W2792839191","https://openalex.org/W2798385737","https://openalex.org/W2889344053","https://openalex.org/W2897405591","https://openalex.org/W2962756421","https://openalex.org/W2962886429","https://openalex.org/W4297971002"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,9,81],"personalized":[3],"recommendation":[4,74,100],"have":[5],"sparked":[6],"great":[7],"interest":[8],"the":[10,48,93,106],"exploitation":[11],"of":[12,95],"rich":[13],"structured":[14],"information":[15],"provided":[16],"by":[17,54,77,118],"knowledge":[18,29,42,83,97],"graphs.":[19],"Unlike":[20],"most":[21],"existing":[22],"approaches":[23],"that":[24,47],"only":[25],"focus":[26],"on":[27,155],"leveraging":[28],"graphs":[30,98],"for":[31,43,147],"more":[32],"accurate":[33],"recommendation,":[34],"we":[35,63,110,133,150],"aim":[36],"to":[37,101,140],"conduct":[38],"explicit":[39],"reasoning":[40,107,145],"with":[41,165],"decision":[44],"making":[45],"so":[46],"recommendations":[49],"are":[50],"generated":[51],"and":[52,75,104,127,142],"supported":[53],"an":[55,119],"interpretable":[56],"causal":[57],"inference":[58],"procedure.":[59],"To":[60],"this":[61],"end,":[62],"propose":[64,111],"a":[65,82,112,128,135],"method":[66,154],"called":[67],"Policy-Guided":[68],"Path":[69],"Reasoning":[70],"(PGPR),":[71],"which":[72],"couples":[73],"interpretability":[76],"providing":[78],"actual":[79],"paths":[80,146],"graph.":[84],"Our":[85],"contributions":[86],"include":[87],"four":[88],"aspects.":[89],"We":[90],"first":[91],"highlight":[92],"significance":[94],"incorporating":[96],"into":[99],"formally":[102],"define":[103],"interpret":[105],"process.":[108],"Second,":[109],"reinforcement":[113],"learning":[114],"(RL)":[115],"approach":[116],"featured":[117],"innovative":[120],"soft":[121],"reward":[122],"strategy,":[123],"user-conditional":[124],"action":[125],"pruning":[126],"multi-hop":[129],"scoring":[130],"function.":[131],"Third,":[132],"design":[134],"policy-guided":[136],"graph":[137],"search":[138],"algorithm":[139],"efficiently":[141],"effectively":[143],"sample":[144],"recommendation.":[148],"Finally,":[149],"extensively":[151],"evaluate":[152],"our":[153],"several":[156],"large-scale":[157],"real-world":[158],"benchmark":[159],"datasets,":[160],"obtaining":[161],"favorable":[162],"results":[163],"compared":[164],"state-of-the-art":[166],"methods.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":77},{"year":2024,"cited_by_count":79},{"year":2023,"cited_by_count":90},{"year":2022,"cited_by_count":81},{"year":2021,"cited_by_count":53},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2019-06-27T00:00:00"}
