Application, Analysis and Evaluation of Neural Networks-Based Interaction Information Retrieval
Sándor Dominich · 2001
Connectionist (artificial neural networks) based views for adaptive clustering in Information Retrieval have proved to be viable approaches, and have yielded a number of models and techniques. However there has never been any exhaustive and methodical i.e., theoretical, formal, practical, simulation- and user-based evaluation of such a retrieval method and system. The aim of the paper is therefore just this. The paper