Our TREC 2008 e ort used fusion IR methods identical to those used for our TREC 2007 e ort; in addition we used logistic regression to attempt to learn the optimal K value for the primary F1@K measure introduced at TREC 2008. We used the Wumpus search engine combining several methods that have proven successful, including cover density ranking and Okapi BM25 ranking, and combination methods. Stepwise logistic regression was used to estimate K using TREC 2007 results as training data. 