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.
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