{"id":"https://openalex.org/W4402571575","doi":"https://doi.org/10.1109/snpd61259.2024.10673932","title":"A Recommendation Algorithm Based on Cross-View Contrastive Learning","display_name":"A Recommendation Algorithm Based on Cross-View Contrastive Learning","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4402571575","doi":"https://doi.org/10.1109/snpd61259.2024.10673932"},"language":"en","primary_location":{"id":"doi:10.1109/snpd61259.2024.10673932","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/snpd61259.2024.10673932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 27th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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/A5100411335","display_name":"Yuying Wang","orcid":"https://orcid.org/0000-0002-5271-625X"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuying Wang","raw_affiliation_strings":["University of China,School of Computer and Cyber Sciences Communication,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of China,School of Computer and Cyber Sciences Communication,Beijing,China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101850837","display_name":"Jing Zhou","orcid":"https://orcid.org/0000-0002-4294-3985"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhou","raw_affiliation_strings":["University of China,School of Computer and Cyber Sciences Communication,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of China,School of Computer and Cyber Sciences Communication,Beijing,China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014522605","display_name":"Qian Liu","orcid":"https://orcid.org/0000-0002-7291-5635"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Liu","raw_affiliation_strings":["University of China,School of Computer and Cyber Sciences Communication,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of China,School of Computer and Cyber Sciences Communication,Beijing,China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100411335"],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":2.0185,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87856659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.5397999882698059,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.5397999882698059,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.5091999769210815,"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/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.4625000059604645,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7545539736747742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.444699227809906},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.41861289739608765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39368343353271484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7545539736747742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.444699227809906},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.41861289739608765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39368343353271484}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd61259.2024.10673932","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/snpd61259.2024.10673932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 27th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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":16,"referenced_works":["https://openalex.org/W2140310134","https://openalex.org/W2184957013","https://openalex.org/W2509893387","https://openalex.org/W2884134047","https://openalex.org/W2913560138","https://openalex.org/W2945623882","https://openalex.org/W2962756421","https://openalex.org/W2963707260","https://openalex.org/W3012816161","https://openalex.org/W3035725276","https://openalex.org/W3141797743","https://openalex.org/W4224914537","https://openalex.org/W4292950683","https://openalex.org/W4393977300","https://openalex.org/W6678830454","https://openalex.org/W6779518175"],"related_works":["https://openalex.org/W2393888177","https://openalex.org/W2544423928","https://openalex.org/W2967268719","https://openalex.org/W2115794623","https://openalex.org/W3115392711","https://openalex.org/W2360264381","https://openalex.org/W2067173559","https://openalex.org/W1613730747","https://openalex.org/W2541389358","https://openalex.org/W4318948887"],"abstract_inverted_index":{"Graph":[0,30],"Neural":[1],"Networks":[2],"(GNNs),":[3],"which":[4,69],"possess":[5],"the":[6,10,26,34,42,45,86,93,100,140,165,173,178,184,187,209,223],"ability":[7,176],"to":[8,71,92,119,158,171],"capture":[9],"connectivity":[11],"and":[12,89,116,137,146,161,168,177,198,220,222],"topological":[13],"features":[14,130],"between":[15,164],"nodes":[16],"in":[17,25,51,99,131,212,215],"a":[18,56,64,108,120],"graph":[19],"structure,":[20],"have":[21],"been":[22],"widely":[23],"used":[24],"field":[27],"of":[28,36,44,59,67,95,128,180,186,217],"Knowledge":[29],"(KG)-enhanced":[31],"recommendation.":[32],"However,":[33],"advantages":[35],"GNNs":[37,78],"are":[38,90],"largely":[39],"limited":[40],"by":[41,103,228],"quality":[43,179],"introduced":[46],"KG.":[47,101],"For":[48],"example,":[49],"(1)":[50],"real":[52],"recommendation":[53,109,122,166,206,224],"scenarios,":[54],"often":[55],"small":[57],"number":[58,66],"popular":[60],"items":[61],"interact":[62],"with":[63],"large":[65],"users,":[68],"leads":[70],"sparse":[72],"supervisory":[73],"signals;":[74],"(2)":[75],"approaches":[76],"using":[77],"mostly":[79],"focus":[80],"on":[81,112,193],"coarse-grained":[82],"relationship":[83],"modeling":[84],"under":[85,135],"global":[87,138],"structure":[88],"susceptible":[91],"interference":[94,149],"neighboring":[96],"noisy":[97],"information":[98],"Inspired":[102],"self-supervised":[104],"learning,":[105],"we":[106,154,190],"propose":[107],"algorithm":[110,141,207],"based":[111],"cross-view":[113],"contrastive":[114,169],"learning":[115,157,163,170],"apply":[117],"it":[118],"KG-enhanced":[121],"task.":[123],"By":[124],"promoting":[125],"mutual":[126],"supervision":[127],"node":[129,144],"different":[132],"semantic":[133],"spaces":[134],"local":[136],"structures,":[139],"learns":[142],"discriminative":[143],"representations":[145],"reduces":[147],"noise":[148],"during":[150],"iterative":[151],"propagation.":[152],"Meanwhile,":[153],"utilize":[155],"multi-task":[156],"promote":[159],"co-training":[160],"shared":[162],"task":[167],"improve":[172],"overall":[174],"generalization":[175],"recommendations.":[181],"To":[182],"verify":[183],"effectiveness":[185],"proposed":[188],"work,":[189],"conduct":[191],"experiments":[192],"two":[194],"public":[195],"datasets,":[196],"MovieLens":[197],"Book-Crossing.":[199],"The":[200],"experimental":[201],"results":[202],"show":[203],"that":[204],"our":[205],"outperforms":[208],"baseline":[210],"model":[211],"most":[213],"cases":[214],"terms":[216],"AUC,":[218],"recall@k,":[219],"F1,":[221],"performance":[225],"is":[226],"improved":[227],"1.7%":[229],"-10.4%":[230],"x.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}