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The effectiveness of information retrieval systems heavily depends on a large number of hyperparameters that need to be tuned. Hyperparameters range from the choice of different system components, e.g., stopword lists, stemming methods, or retrieval models, to model parameters, such as k1 and b in BM25, or the number of query expansion terms. Grid and random search, the dominant methods to search for the optimal system configuration, lack a search strategy that can guide them in thedoi:10.1145/3159652.3159665 dblp:conf/wsdm/LiK18 fatcat:q3bsdk4fdnba7izcm6tijv4tnu