A Logistic Regression Approach for NTCIR-11 Temporalia

Berkeley’s approach to the Temporalia TIR retrieval task for NTCIR-11 has been, as is our custom with new tasks, to use our probabilistic text retrieval methods to establish an in-house baseline for future experiments. For our initial experiments we used only the Logistic Regression ranking both with and without pseudo relevance feedback. We have previously used these algorithms in the NTCIR-8 and NTCIR-9 GeoTime tasks, as well as in many other evaluations at CLEF and INEX. This brief paper describes the submitted runs and the methods used for them.