In the diversity task, our strategy was to, first, try to improve relevance, and then to cluster similar images to improve diversity. We propose a four step framework, based on AHC clustering and different reranking strategies. A large number of tests on devset showed that most of the best strategies include text based reranking for pertinence, and visual clustering for diversity - even compared to location based descriptors. Results on expert and crowd-sourcing testset grounds truths seem to confirm these observations.