We demonstrate the merits of using inter-document similarities for federated search. Specifically, we study a resultsmerging method that utilizes information induced from clusters of similar documents created across the lists retrieved from the collections. The method significantly outperforms state-of-the-art results merging approaches. Categories and Subject Descriptors: H.3.3 [Information Search and Retrieval]: Retrieval models General Terms: Algorithms, Experimentation