Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...
Modern web search engines are expected to return top-k results efficiently given a query. Although many dynamic index pruning strategies have been proposed for efficient top-k com...
The QCS information retrieval (IR) system is presented as a tool for querying, clustering, and summarizing document sets. QCS has been developed as a modular development framework...
Daniel M. Dunlavy, John M. Conroy, Dianne P. O'Lea...
Document clustering has been used for better document retrieval, document browsing, and text mining in digital library. In this paper, we perform a comprehensive comparison study ...
User interfaces for digital libraries tend to focus on retrieval: users retrieve documents online, but then print them out and work with them on paper. One reason for printing doc...
Gene Golovchinsky, Morgan N. Price, Bill N. Schili...