Domain specific retrieval experiments with MIMOR at the University of Hildesheim

Abstract

For our first participation in CLEF we chose the domain specific GIRT corpus. We implemented the adaptive fusion model MIMOR (Multiple Indexing and Method-Object Relations) which is based on relevance feedback. The linear combination of several retrieval engines was optimized. As a basic retrieval engine, IRF from NIST was employed. The results are promising. For several topics, our runs achieved a performance above the average. The optimization based on topics and relevance judgements from CLEF 2001 proved to be a fruitful strategy. © Springer-Verlag Berlin Heidelberg 2003.