{"title":"Personal information categorizing system with an associative memory model","authors":"T. Kindo, H. Yoshida, M. Hirahara","doi":"10.1109/ICONIP.1999.843961","DOIUrl":null,"url":null,"abstract":"A personal information categorizing system, PICSY, on an adaptive personal information filtering system is presented. PICSY is an information catergorizing system based on an associative memory model. Information categorization systems are needed because the amount of available information has become huge. PICSY is a practical information categorization system that divides each personal profile into sub-profiles which respectively correspond to categories of user's interests. Our field test shows that PICSY extracts several categories from each personal profile. The extracted categories are reasonable for users to recognize their interests. The results of the field test support that PICSY can be put to practical use.","PeriodicalId":237855,"journal":{"name":"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIP.1999.843961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A personal information categorizing system, PICSY, on an adaptive personal information filtering system is presented. PICSY is an information catergorizing system based on an associative memory model. Information categorization systems are needed because the amount of available information has become huge. PICSY is a practical information categorization system that divides each personal profile into sub-profiles which respectively correspond to categories of user's interests. Our field test shows that PICSY extracts several categories from each personal profile. The extracted categories are reasonable for users to recognize their interests. The results of the field test support that PICSY can be put to practical use.
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