Title :
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
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;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.843961
