{"id":"https://openalex.org/W3118000844","doi":"https://doi.org/10.1109/ictc49870.2020.9289301","title":"Consumer-Oriented Multi-Party Matching Recommendation System Based Deep Learning","display_name":"Consumer-Oriented Multi-Party Matching Recommendation System Based Deep Learning","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3118000844","doi":"https://doi.org/10.1109/ictc49870.2020.9289301","mag":"3118000844"},"language":"en","primary_location":{"id":"doi:10.1109/ictc49870.2020.9289301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5101099457","display_name":"Woo Seok Seo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Woo Seok Seo","raw_affiliation_strings":["IT R&D Center, WooKyoung Information Technology, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"IT R&D Center, WooKyoung Information Technology, Daegu, South Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075536854","display_name":"Jae Hyun Jun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jae Hyun Jun","raw_affiliation_strings":["IT R&D Center, WooKyoung Information Technology, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"IT R&D Center, WooKyoung Information Technology, Daegu, South Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022219891","display_name":"Jong\u2010Il Kim","orcid":"https://orcid.org/0000-0002-7240-3744"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jong Il Kim","raw_affiliation_strings":["IT R&D Center, WooKyoung Information Technology, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"IT R&D Center, WooKyoung Information Technology, Daegu, South Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087324497","display_name":"Tae Jin Bae","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tae Jin Bae","raw_affiliation_strings":["IT R&D Center, WooKyoung Information Technology, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"IT R&D Center, WooKyoung Information Technology, Daegu, South Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001229646","display_name":"Dae Soo Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dae Soo Kim","raw_affiliation_strings":["IT R&D Center, WooKyoung Information Technology, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"IT R&D Center, WooKyoung Information Technology, Daegu, South Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101099457"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27816969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"1309","last_page":"1311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"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":0.9969000220298767,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9505000114440918,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8318237066268921},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.71656733751297},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6527009010314941},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6362646222114563},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6243431568145752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6157810091972351},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5321563482284546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38614004850387573},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35866934061050415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8318237066268921},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.71656733751297},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6527009010314941},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6362646222114563},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6243431568145752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6157810091972351},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5321563482284546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38614004850387573},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35866934061050415},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc49870.2020.9289301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","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":4,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W2512971201","https://openalex.org/W2911268816","https://openalex.org/W6637242042"],"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/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W4380075502"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"the":[5,16,36,41,50,59,64],"consumer-oriented":[6],"multi-party":[7],"matching":[8],"recommendation":[9,65],"system":[10],"based":[11],"deep":[12,31,46],"learning":[13,32,47],"that":[14,34],"recommends":[15],"most":[17],"suitable":[18,76],"participants":[19],"to":[20],"consumers":[21],"when":[22],"producing":[23],"a":[24,30,72,78],"work.":[25],"The":[26,45],"proposed":[27],"method":[28],"uses":[29,49],"model":[33,48],"takes":[35],"characteristics":[37],"and":[38,58],"constraints":[39],"of":[40,67,74],"consumer":[42],"as":[43],"input.":[44],"Candidate":[51],"Generation":[52],"Model,":[53,61],"which":[54,62],"selects":[55],"candidate":[56,69,80],"candidates,":[57],"Ranking":[60],"recalculates":[63],"scores":[66],"selected":[68],"candidates.":[70],"Therefore,":[71],"group":[73,81],"candidates":[75],"for":[77],"large":[79],"is":[82],"recommended.":[83]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}