{"id":"https://openalex.org/W2591116102","doi":"https://doi.org/10.1109/icci-cc.2016.7862088","title":"Ranking preferences deduction based on semantic similarity for the stable marriage problem","display_name":"Ranking preferences deduction based on semantic similarity for the stable marriage problem","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2591116102","doi":"https://doi.org/10.1109/icci-cc.2016.7862088","mag":"2591116102"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2016.7862088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5078373549","display_name":"Micha\u00ebl Guedj","orcid":"https://orcid.org/0000-0001-6694-0554"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michael Guedj","raw_affiliation_strings":["UTEC INT, School of IT and New Technologies UTEC \u2014 CCI Seine-et-Marne Emerainville, France"],"affiliations":[{"raw_affiliation_string":"UTEC INT, School of IT and New Technologies UTEC \u2014 CCI Seine-et-Marne Emerainville, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078373549"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2578,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91001811,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"276","issue":null,"first_page":"530","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9945999979972839,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9922999739646912,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8122027516365051},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7238275408744812},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7034353017807007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.608742356300354},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47740474343299866},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4329667091369629},{"id":"https://openalex.org/keywords/stable-marriage-problem","display_name":"Stable marriage problem","score":0.4291148781776428},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4041059613227844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3987237513065338},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31452903151512146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27227410674095154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1106066107749939}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8122027516365051},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7238275408744812},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7034353017807007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.608742356300354},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47740474343299866},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4329667091369629},{"id":"https://openalex.org/C146393371","wikidata":"https://www.wikidata.org/wiki/Q620702","display_name":"Stable marriage problem","level":3,"score":0.4291148781776428},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4041059613227844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3987237513065338},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31452903151512146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27227410674095154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1106066107749939},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icci-cc.2016.7862088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"},{"id":"mag:2753898667","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702223672288029","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W568087019","https://openalex.org/W1554578572","https://openalex.org/W1587532866","https://openalex.org/W1593582558","https://openalex.org/W1886319227","https://openalex.org/W2011814028","https://openalex.org/W2028966815","https://openalex.org/W2049249474","https://openalex.org/W2059209074","https://openalex.org/W2068115726","https://openalex.org/W2089480615","https://openalex.org/W2113339754","https://openalex.org/W2114660707","https://openalex.org/W2131988597","https://openalex.org/W2161208920","https://openalex.org/W2182322465","https://openalex.org/W2336412224","https://openalex.org/W2483593449","https://openalex.org/W2565002155","https://openalex.org/W4292002212","https://openalex.org/W6685940403"],"related_works":["https://openalex.org/W2931602588","https://openalex.org/W2951846908","https://openalex.org/W4299682028","https://openalex.org/W4322508012","https://openalex.org/W3123407378","https://openalex.org/W2072430061","https://openalex.org/W2054731762","https://openalex.org/W1554497538","https://openalex.org/W4224297439","https://openalex.org/W4249871498"],"abstract_inverted_index":{"The":[0],"stable":[1,16,75],"marriage":[2],"problem":[3,7,73],"is":[4,36,68],"a":[5,24,40,55,62,84],"well-known":[6],"with":[8,58],"many":[9],"practical":[10],"applications.":[11],"Most":[12],"algorithms":[13],"to":[14,53,70,81],"find":[15],"marriages":[17,76],"assume":[18],"that":[19,66],"the":[20,32,48,72,79,87,90],"participants":[21],"explicitly":[22,82],"express":[23],"preference":[25],"ordering.":[26],"This":[27],"can":[28],"be":[29],"problematic":[30],"when":[31],"number":[33],"of":[34,74,89],"options":[35],"large":[37],"or":[38],"has":[39],"combinatorial":[41],"structure.":[42],"We":[43],"show,":[44],"by":[45],"simply":[46],"asking":[47,78],"actors":[49,80],"(men":[50],"and":[51],"women)":[52],"fulfill":[54],"personal":[56],"profile":[57],"items":[59],"positioning":[60],"in":[61],"tree-structured":[63],"semantic":[64],"network,":[65],"it":[67],"possible":[69],"solve":[71],"without":[77],"operate":[83],"ranking":[85],"over":[86],"members":[88],"opposite":[91],"sex.":[92]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}