We describe our participation in the TREC 2007 Blog track. In the opinion task we looked at the differences in performance between Indri and our mixture model, the influence of external expansion and document priors to improve opinion finding; results show that an out-of-the-box Indri implementation out- performs our mixture model, and that external expan- sion on a news corpus is very benificial. Opinion find- ing can be improved using either lexicons or the number of comments as document priors. Our approach to the feed distillation task is based on ag- gregating post-level scores to obtain a feed-level rank- ing. We integrated time-based and persistence as- pects into the retrieval model. After correcting bugs in our post-score aggregation module we found that time-based retrieval improves results only marginally, while persistence-based ranking results in substantial improvements under the right circumstances.
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