DocumentCode
2017084
Title
Learning user model by neural networks
Author
Yasdi, Ramin
Author_Institution
Inst. for Human-Comput. Interaction, German Nat. Res. Center for Inf. Technol., St. Augustin, Germany
Volume
1
fYear
1999
fDate
1999
Firstpage
48
Abstract
As more information becomes available electronically, tools for finding information of interest to users become increasingly important. Building tools for assisting users in finding relevant information is often complicated by the difficulty in articulating user interest in a form that can be used for searching. The goal of the research described is to build a system for generating comprehensible user profiles that accurately capture user interest with minimum user interaction
Keywords
information retrieval; learning (artificial intelligence); neural nets; online front-ends; user modelling; comprehensible user profiles; information retrieval; minimum user interaction; neural networks; relevant information; searching; user interest; user model learning; Books; Human factors; IEEE news; Information filtering; Information filters; Information resources; Information technology; Neural networks; Text categorization; Web sites;
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.1999.843960
Filename
843960
Link To Document