{"title":"基于语义相似度的稳定婚姻问题排序偏好演绎","authors":"Michaël Guedj","doi":"10.1109/ICCI-CC.2016.7862088","DOIUrl":null,"url":null,"abstract":"The stable marriage problem is a well-known problem with many practical applications. Most algorithms to find stable marriages assume that the participants explicitly express a preference ordering. This can be problematic when the number of options is large or has a combinatorial structure. We show, by simply asking the actors (men and women) to fulfill a personal profile with items positioning in a tree-structured semantic network, that it is possible to solve the problem of stable marriages without asking the actors to explicitly operate a ranking over the members of the opposite sex.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Ranking preferences deduction based on semantic similarity for the stable marriage problem\",\"authors\":\"Michaël Guedj\",\"doi\":\"10.1109/ICCI-CC.2016.7862088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The stable marriage problem is a well-known problem with many practical applications. Most algorithms to find stable marriages assume that the participants explicitly express a preference ordering. This can be problematic when the number of options is large or has a combinatorial structure. We show, by simply asking the actors (men and women) to fulfill a personal profile with items positioning in a tree-structured semantic network, that it is possible to solve the problem of stable marriages without asking the actors to explicitly operate a ranking over the members of the opposite sex.\",\"PeriodicalId\":135701,\"journal\":{\"name\":\"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCI-CC.2016.7862088\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCI-CC.2016.7862088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ranking preferences deduction based on semantic similarity for the stable marriage problem
The stable marriage problem is a well-known problem with many practical applications. Most algorithms to find stable marriages assume that the participants explicitly express a preference ordering. This can be problematic when the number of options is large or has a combinatorial structure. We show, by simply asking the actors (men and women) to fulfill a personal profile with items positioning in a tree-structured semantic network, that it is possible to solve the problem of stable marriages without asking the actors to explicitly operate a ranking over the members of the opposite sex.