{"id":"https://openalex.org/W4394870858","doi":"https://doi.org/10.1145/3650400.3650572","title":"A graph comparison learning recommendation algorithm based on knowledge graph enhancement","display_name":"A graph comparison learning recommendation algorithm based on knowledge graph enhancement","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4394870858","doi":"https://doi.org/10.1145/3650400.3650572"},"language":"en","primary_location":{"id":"doi:10.1145/3650400.3650572","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650400.3650572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering","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":null,"display_name":"Xiaodong Cai","orcid":"https://orcid.org/0000-0001-8505-1007"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Cai","raw_affiliation_strings":["Guilin University of Electronic Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-8505-1007","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103248632","display_name":"Yun Xue","orcid":"https://orcid.org/0009-0009-8565-8576"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Xue","raw_affiliation_strings":["Guilin University of Electronic Technology, China"],"raw_orcid":"https://orcid.org/0009-0009-8565-8576","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042267955","display_name":"Yanyan Zhang","orcid":"https://orcid.org/0009-0004-8817-0895"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Zhang","raw_affiliation_strings":["Guilin University of Electronic Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-8817-0895","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102716379","display_name":"Qing Ye","orcid":"https://orcid.org/0009-0008-2882-2918"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Ye","raw_affiliation_strings":["Guilin University of Electronic Technology, China"],"raw_orcid":"https://orcid.org/0009-0008-2882-2918","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1020","last_page":"1024"},"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":0.9980999827384949,"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":0.9544000029563904,"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/computer-science","display_name":"Computer science","score":0.7849926352500916},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7690532803535461},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5892956256866455},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5007777214050293},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4458619952201843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4170602560043335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3849013149738312},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37217849493026733},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3713022470474243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849926352500916},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7690532803535461},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5892956256866455},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5007777214050293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4458619952201843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4170602560043335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3849013149738312},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37217849493026733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3713022470474243}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650400.3650572","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650400.3650572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2913560138","https://openalex.org/W3106439716","https://openalex.org/W4255266291","https://openalex.org/W6600135713","https://openalex.org/W6600238479","https://openalex.org/W6600248585","https://openalex.org/W6600319451","https://openalex.org/W6600514347","https://openalex.org/W6600577311","https://openalex.org/W6600586173","https://openalex.org/W6601365666","https://openalex.org/W6602491822","https://openalex.org/W6603527449"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"The":[0,137,164],"recommender":[1],"system's":[2],"overall":[3],"suggestion":[4],"results":[5,138],"may":[6],"be":[7],"erroneous":[8],"and":[9,20,25,69,94,135,157,172],"weakly":[10],"robust":[11],"due":[12],"to":[13,46,60,81,95,121],"the":[14,23,26,48,64,71,83,87,92,97,106,123,141,151,158,177],"sparse":[15],"interaction":[16,30,103],"behavior":[17],"between":[18,102],"users":[19],"items":[21],"in":[22,29,91,146,150],"system":[24,73],"noise":[27],"inherent":[28],"samples.":[31],"This":[32],"research":[33],"suggests":[34],"a":[35,52,111],"graph":[36,44,112],"comparison":[37],"learning":[38],"recommendation":[39,72,142,148],"method":[40,57],"based":[41],"on":[42,105,130],"knowledge":[43,53],"augmentation":[45],"address":[47],"aforementioned":[49],"issues.":[50],"First,":[51],"graph-based":[54],"data":[55,68,76,162],"improvement":[56],"is":[58,116,144],"created":[59],"make":[61],"use":[62],"of":[63,99,108,153,160],"rich":[65],"entity":[66],"attribute":[67],"help":[70,82],"solve":[74],"its":[75],"sparsity":[77],"issue.":[78],"In":[79,119],"order":[80,120],"model":[84],"better":[85],"capture":[86],"crucial":[88],"information":[89],"contained":[90],"nodes":[93],"lessen":[96],"effect":[98],"noisy":[100,161],"links":[101],"samples":[104],"quality":[107],"node":[109],"representation,":[110],"self-attentive":[113],"augmented":[114],"network":[115],"also":[117],"proposed.":[118],"test":[122],"algorithm's":[124],"efficacy,":[125],"experiments":[126],"are":[127,167],"carried":[128],"out":[129],"three":[131],"datasets:":[132],"Yelp2018,":[133],"Amazon-Book,":[134],"MIND.":[136],"show":[139],"that":[140],"algorithm":[143],"effective":[145],"enhancing":[147],"accuracy":[149],"case":[152],"small":[154],"sample":[155],"sizes":[156],"presence":[159],"scenarios.":[163],"Recall":[165],"metrics":[166],"improved":[168],"by":[169],"8.59%,":[170],"7.08%,":[171],"15.47%,":[173],"respectively,":[174],"compared":[175],"with":[176],"state-of-the-art":[178],"model.":[179]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
