Ivory is a web-scale retrieval engine we have been developing for the past two years, built around a cluster-based environment running Hadoop, the open-source implementation of the MapReduce programming model. Building on successes last year at TREC, we explored two major directions this year: more sophisticated retrieval models and large-scale graph analysis for spam detection. We describe results of ad hoc retrieval experiments with latent concept expansion and a greedily-learned linear ranking model. Although neither model is novel, our experiments provide some insight on the behavior of these two approaches at scale, on collections larger than those previously studied. We also discuss our link-based spam filtering algorithm that operated on the entire web graph of ClueWeb09. Unfortunately, results in the spam track were worse than the baseline provided by the track organizers. 1.