M. Archuadze, G. Besiashvili, M. Khachidze, P. Kervalishvili
{"title":"信息检索中的量子概念","authors":"M. Archuadze, G. Besiashvili, M. Khachidze, P. Kervalishvili","doi":"10.1109/ICAICT.2012.6398524","DOIUrl":null,"url":null,"abstract":"Quantum information methods are successfully used with classic methods in information retrieval. This paper reviews the formation of quantum concepts, their presentation and storage and comparison methods for algorithms of information retrieval. We survey the representation of quantum concepts with qubits and their comparison methods via quantum logic gates. The paper discusses fuzzy concepts ranking, relevance evaluation and machine learning methods to improve information retrieval.","PeriodicalId":221511,"journal":{"name":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantum concepts in information retrieval\",\"authors\":\"M. Archuadze, G. Besiashvili, M. Khachidze, P. Kervalishvili\",\"doi\":\"10.1109/ICAICT.2012.6398524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantum information methods are successfully used with classic methods in information retrieval. This paper reviews the formation of quantum concepts, their presentation and storage and comparison methods for algorithms of information retrieval. We survey the representation of quantum concepts with qubits and their comparison methods via quantum logic gates. The paper discusses fuzzy concepts ranking, relevance evaluation and machine learning methods to improve information retrieval.\",\"PeriodicalId\":221511,\"journal\":{\"name\":\"2012 6th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 6th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2012.6398524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2012.6398524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantum information methods are successfully used with classic methods in information retrieval. This paper reviews the formation of quantum concepts, their presentation and storage and comparison methods for algorithms of information retrieval. We survey the representation of quantum concepts with qubits and their comparison methods via quantum logic gates. The paper discusses fuzzy concepts ranking, relevance evaluation and machine learning methods to improve information retrieval.