{"id":"https://openalex.org/W4377236332","doi":"https://doi.org/10.1145/3581807.3581887","title":"Bayesian Personalized Ranking based on Knowledge Graph","display_name":"Bayesian Personalized Ranking based on Knowledge Graph","publication_year":2022,"publication_date":"2022-11-17","ids":{"openalex":"https://openalex.org/W4377236332","doi":"https://doi.org/10.1145/3581807.3581887"},"language":"en","primary_location":{"id":"doi:10.1145/3581807.3581887","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581807.3581887","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 11th International Conference on Computing and Pattern Recognition","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/A5101989944","display_name":"Ran Ma","orcid":"https://orcid.org/0000-0001-5654-0389"},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Ma","raw_affiliation_strings":["School of Information Science and Technology, Tibet University, China"],"raw_orcid":"https://orcid.org/0000-0001-5654-0389","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Tibet University, China","institution_ids":["https://openalex.org/I140786321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103164111","display_name":"Xiaotian Yang","orcid":"https://orcid.org/0009-0005-8369-657X"},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotian Yang","raw_affiliation_strings":["School of Information Science and Technology, Tibet University, China"],"raw_orcid":"https://orcid.org/0009-0005-8369-657X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Tibet University, China","institution_ids":["https://openalex.org/I140786321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101891566","display_name":"Li Jiang","orcid":"https://orcid.org/0009-0006-7910-8664"},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Li","raw_affiliation_strings":["School of Information Science and Technology, Tibet University, China"],"raw_orcid":"https://orcid.org/0009-0006-7910-8664","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Tibet University, China","institution_ids":["https://openalex.org/I140786321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101970002","display_name":"Fei Gao","orcid":"https://orcid.org/0009-0000-1582-0747"},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Gao","raw_affiliation_strings":["School of Information Science and Technology, Tibet University, China"],"raw_orcid":"https://orcid.org/0009-0000-1582-0747","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Tibet University, China","institution_ids":["https://openalex.org/I140786321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I140786321"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"545","last_page":"550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9894000291824341,"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/T11478","display_name":"Caching and Content Delivery","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.7884987592697144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7876961827278137},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7780821919441223},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7113102674484253},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6379445195198059},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5590944290161133},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5500187873840332},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4443693161010742},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.43587151169776917},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.434158593416214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43012234568595886},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4228662848472595},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41409575939178467},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4117944836616516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3810843825340271},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16939771175384521},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10910066962242126}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7884987592697144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876961827278137},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7780821919441223},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7113102674484253},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6379445195198059},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5590944290161133},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5500187873840332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4443693161010742},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.43587151169776917},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.434158593416214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43012234568595886},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4228662848472595},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41409575939178467},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4117944836616516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3810843825340271},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16939771175384521},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10910066962242126},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581807.3581887","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581807.3581887","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 11th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2094286023","https://openalex.org/W2970421518","https://openalex.org/W3007941735"],"related_works":["https://openalex.org/W2358418295","https://openalex.org/W2385145531","https://openalex.org/W3040223145","https://openalex.org/W3109911900","https://openalex.org/W2735929803","https://openalex.org/W2979219289","https://openalex.org/W3002169615","https://openalex.org/W2012851087","https://openalex.org/W1575318294","https://openalex.org/W4312998587"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"algorithms":[2],"have":[3],"serious":[4],"data":[5,15,113],"sparsity":[6],"and":[7,17,63,105],"cold":[8],"start":[9],"problems":[10],"as":[11],"the":[12,18,24,32,39,44,49,54,71,75,87,95,108,111,116,120],"amount":[13],"of":[14,74,98],"increases":[16],"movie":[19,109],"dataset":[20],"keeps":[21],"growing.To":[22],"solve":[23],"above":[25],"problems,":[26],"this":[27,91],"paper":[28,92],"proposes":[29],"to":[30,52,59,69,78],"combine":[31],"knowledge":[33,50],"graph":[34],"with":[35],"Matrix":[36],"factorization":[37],"algorithm.Through":[38],"user's":[40,45,72],"historical":[41],"interests,":[42,62],"mining":[43],"similar":[46],"interests":[47],"on":[48,107],"graph,":[51],"form":[53],"candidate":[55,76],"items,":[56],"useing":[57],"eventually":[58],"predict":[60,70],"users'":[61],"finally":[64],"using":[65],"Bayesian":[66],"personalized":[67],"recommendation":[68,96,121],"rating":[73],"items":[77],"achieve":[79],"top-K":[80],"recommendation.Through":[81],"experiments,":[82],"it":[83],"is":[84],"demonstrated":[85],"that":[86,115],"algorithm":[88,117],"proposed":[89],"in":[90],"significantly":[93],"improves":[94],"effect":[97,122],"matrix":[99],"decomposition":[100],"model.":[101],"With":[102],"its":[103],"AUC=0.9348":[104],"ACC=0.8474":[106],"dataset,":[110],"experimental":[112],"show":[114],"can":[118],"improve":[119],"more":[123],"effectively.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}