Probabilistic Text Retrieval for NTCIR9 GeoTime

For the NTCIR-9 Workshop UC Berkeley participated only in the GeoTime track. For our initial experiments we used only the Logistic Regression ranking with blind feedback approach that we also used in NTCIR-8. We participated in both English and Japanese monolingual and bilingual search tasks. For all Japanese topics we preprocessed the text using the ChaSen morphological analyzer for term segmentation. For these submitted runs we did not do any special purpose geographic or temporal processing. This brief paper describes the submitted runs and the methods used for them