Personal information categorizing system with an associative memory model

Author

Kindo, Tvshiki ; Yoshida, Hiroyuki ; Hirahara, Mukvto

Author_Institution

Inf. & Network Res. Lab., Matsushita Res. Inst. Tokyo Inc., Kawasaki, Japan

Volume

1

fYear

1999

fDate

1999

Firstpage

54

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

Keywords

adaptive systems; content-addressable storage; information analysis; information needs; PICSY; adaptive personal information filtering system; associative memory model; personal information categorizing system; personal profile; user interest categories; Adaptive systems; Associative memory; Data mining; Filtering; Tellurium; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-5871-6

Type

conf

DOI

10.1109/ICONIP.1999.843961

Filename

843961