Title :
Learning user model by neural networks
Author_Institution :
Inst. for Human-Comput. Interaction, German Nat. Res. Center for Inf. Technol., St. Augustin, Germany
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;
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.1999.843960