{"id":"https://openalex.org/W4323520326","doi":"https://doi.org/10.1145/3578741.3578776","title":"Bidirectional Knowledge-Aware Attention Network over Knowledge Graph for Explainable Recommendation","display_name":"Bidirectional Knowledge-Aware Attention Network over Knowledge Graph for Explainable Recommendation","publication_year":2022,"publication_date":"2022-12-23","ids":{"openalex":"https://openalex.org/W4323520326","doi":"https://doi.org/10.1145/3578741.3578776"},"language":"en","primary_location":{"id":"doi:10.1145/3578741.3578776","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3578741.3578776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language Processing","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/A5013700949","display_name":"Yanxia Lyu","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanxia Lyu","raw_affiliation_strings":["School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031395093","display_name":"Guorui Su","orcid":"https://orcid.org/0000-0001-9472-7646"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorui Su","raw_affiliation_strings":["School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012880666","display_name":"Jianghan Wang","orcid":"https://orcid.org/0000-0003-2409-4577"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianghan Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Northeastern University at Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northeastern University at Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015004118","display_name":"Ye Xing","orcid":"https://orcid.org/0000-0002-3459-5626"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Xing","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013700949"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.6063,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76188729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"170","last_page":"174"},"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":0.9984999895095825,"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":0.9900000095367432,"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":0.9261714816093445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8552200794219971},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7264075875282288},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5978140234947205},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.546965479850769},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5423560738563538},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.508707582950592},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.43146252632141113},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4114764332771301},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27924805879592896},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27248334884643555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18969473242759705},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11068326234817505}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9261714816093445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8552200794219971},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7264075875282288},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5978140234947205},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.546965479850769},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5423560738563538},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.508707582950592},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.43146252632141113},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4114764332771301},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27924805879592896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27248334884643555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18969473242759705},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11068326234817505}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3578741.3578776","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3578741.3578776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2605350416","https://openalex.org/W2792839191","https://openalex.org/W2911778742","https://openalex.org/W2913560138","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2963218586","https://openalex.org/W3034364571","https://openalex.org/W3091993229","https://openalex.org/W3098087397","https://openalex.org/W3100278010","https://openalex.org/W3106439716"],"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":{"Now":[0],"recommendation":[1,22,34,37,66,93,97,126,163,176,201],"systems":[2],"are":[3,46],"introduced":[4],"into":[5,64],"various":[6],"online":[7],"applications":[8],"to":[9,30,113,141],"help":[10],"users":[11,212],"find":[12],"the":[13,21,31,36,44,54,65,70,83,119,134,143,149,175,195,204,218],"content":[14],"they":[15],"want":[16],"from":[17],"massive":[18],"data.":[19],"Although":[20],"method":[23],"based":[24],"on":[25,40,148,184],"collaborative":[26],"filtering":[27],"can":[28,81,208],"adapt":[29],"change":[32],"of":[33,85,92,133,145,200,217],"scenarios,":[35],"heavily":[38],"depends":[39],"interaction":[41,168],"data,":[42],"so":[43],"recommendations":[45],"seriously":[47],"affected":[48],"by":[49],"data":[50],"sparsity.":[51],"To":[52],"alleviate":[53],"above":[55],"problem":[56],"researchers":[57],"introduce":[58],"knowledge":[59,78,103,107,116,120,172],"graph":[60,121],"as":[61],"side":[62],"information":[63,73,76,117,169],"system.":[67,94],"By":[68],"exploring":[69],"rich":[71],"entity":[72],"and":[74,87,89,139,170,211,220],"relation":[75],"in":[77,177,198],"graph,":[79],"we":[80,152],"enrich":[82],"representations":[84],"user":[86],"item":[88],"enhance":[90,142],"interpretability":[91,144],"However,":[95],"some":[96],"methods":[98],"only":[99],"carry":[100],"out":[101],"unidirectional":[102],"propagation":[104],"when":[105,118],"mining":[106],"information,":[108,173],"which":[109,166],"makes":[110],"it":[111],"difficult":[112],"capture":[114],"higher-order":[115],"is":[122,191],"sparse.":[123],"Meanwhile,":[124],"most":[125],"models":[127],"do":[128],"not":[129],"make":[130],"full":[131],"use":[132],"relations":[135],"between":[136],"users,":[137],"items":[138],"entities":[140],"recommendations.":[146,221],"Based":[147],"reasons":[150],"above,":[151],"design":[153],"a":[154,214],"novel":[155],"bidirectional":[156],"knowledge-aware":[157],"attention":[158],"network":[159],"framework":[160],"for":[161],"explainable":[162],"named":[164],"BKANE,":[165],"integrates":[167],"high-order":[171],"completing":[174],"an":[178],"end-to-end":[179],"manner.":[180],"The":[181],"experimental":[182],"results":[183],"three":[185],"real":[186],"datasets":[187],"show":[188],"that":[189],"BKANE":[190],"significantly":[192],"better":[193],"than":[194],"state-of-the-art":[196],"baselines":[197],"terms":[199],"performance.":[202],"Also,":[203],"graphical":[205],"explanation":[206,216],"form":[207],"provide":[209],"developers":[210],"with":[213],"reasonable":[215],"model":[219]},"counts_by_year":[{"year":2025,"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"}