Information Retrieval Systems: Theory and Implementation
Information Retrieval Systems: Theory and Implementation
Information Retrieval: Algorithms and Heuristics
Information Retrieval: Algorithms and Heuristics
Modern Information Retrieval
Exploiting parallelism to support scalable hierarchical clustering
Journal of the American Society for Information Science and Technology
On mediated search of the united states holocaust memorial museum data
NGITS'06 Proceedings of the 6th international conference on Next Generation Information Technologies and Systems
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In this paper we report the results of an independent experimental evaluation of an information retrieval (IR) system developed at the Illinois Institute of Technology (IIT). The system, which is called the Advanced Information Retrieval Engine (AIRE), consists of a set of tools and utilities providing indexing, extraction, searching and visualization. We evaluated AIRE on three data sets from the Text REtrieval Conference (TREC) - TREC 8, 9 and 10. Overall, our results indicate that AIRE is a highly accurate IR system. Compared with results published by IIT, in our experiments AIRE consistently scored higher in recall. AIRE also scored higher in precision, but only for automatic tasks. In manual tasks, AIRE scored lower in precision in our experiments, but we attributed that to factors external to AIRE. Our final conclusion is that AIRE is a highly accurate IR system.