The impact of database selection on distributed searching
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Better than the real thing?: iterative pseudo-query processing using cluster-based language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic new topic identification using multiple linear regression
Information Processing and Management: an International Journal
Clusters, language models, and ad hoc information retrieval
ACM Transactions on Information Systems (TOIS)
Re-ranking search results using language models of query-specific clusters
Information Retrieval
Utilizing passage-based language models for ad hoc document retrieval
Information Retrieval
PageRank without hyperlinks: Structural reranking using links induced by language models
ACM Transactions on Information Systems (TOIS)
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Given the experimental nature of information retrieval, progress critically depends on analyzing the errors made by existing retrieval approaches and understanding their limitations. Our research explores various hypothesized reasons for hard topics in TREC-8 ad hoc task, and shows that the bad performance is partially due to the existence of highly distracting sub-collections that can dominate the overall performance.