Cluster-based language models for distributed retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Query-based sampling of text databases
ACM Transactions on Information Systems (TOIS)
Experiments on data fusion using headline information
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A semisupervised learning method to merge search engine results
ACM Transactions on Information Systems (TOIS)
Testing the cluster hypothesis in distributed information retrieval
Information Processing and Management: an International Journal
Effective query expansion for federated search
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Cluster-based fusion of retrieved lists
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
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We demonstrate the merits of using inter-document similarities for federated search. Specifically, we study a results merging 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.