caa a22 4500 475834054 CHVBK 20180406123849.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1007/s005210070005 doi (NATIONALLICENCE)springer-10.1007/s005210070005 Mandl T. Information Science, University of Hildesheim, Hildesheim, Germany, DE aut Tolerant Information Retrieval with Backpropagation Networks [Elektronische Daten] [T. Mandl] Neural networks can learn from human decisions and preferences. Especially in human-computer interaction, adaptation to the behaviour and expectations of the user is necessary. In information retrieval, an important area within human-computer interaction, expectations are difficult to meet. The inherently vague nature of information retrieval has led to the application of vague processing techniques. Neural networks seem to have great potential to model the cognitive processes involved more appropriately. Current models based on neural networks and their implications for human-computer interaction are analysed. COSIMIR (Cognitive Similarity Learning in Information Retrieval), an innovative model integrating human knowledge into the core of the retrieval process, is presented. It applies backpropagation to information retrieval, integrating human-centred and soft and tolerant computing into the core of the retrieval process. A further backpropagation model, the transformation network for heterogeneous data sources, is discussed. Empirical evaluations have provided promising results.: Springer-Verlag London Limited, 2000 Keywords: Backpropagation nationallicence Human-Computer Interaction nationallicence Information retrieval nationallicence Neural networks nationallicence Similarity nationallicence Spreading activation nationallicence https://doi.org/10.1007/s005210070005 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s005210070005 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Mandl T. Information Science, University of Hildesheim, Hildesheim, Germany, DE aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer