Estimating Robust Query Models with Convex Optimization

Query expansion is a long-studied approach for improving retrieval effectiveness by enhancing the user’s original query with additional related terms. Current algorithms for automatic query expansion have been shown to consistently improve retrieval accuracy on average, but are highly unstable and have bad worst-case performance for individual queries... (read more)

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