11. The method of claim 9 , the re-ranking comprises employing one or more modified ranking algorithms that have been trained, the training comprising: receiving an initial set of training data; employing the training data to train an initial ranking algorithm; employing the initial ranking algorithm to rank the training data into ranked training data; iteratively training the one or more modified ranking algorithms, comprising: selecting a subset of the ranked training data that have a highest ranking to train a modified ranking algorithm, wherein the subset comprises a number of items that is less than the entire set of ranked training data; training the modified ranking algorithm using the subset of ranked training data; employing the modified ranking algorithm to rank the subset of training data into ranked training data.
11. The method of claim 9 , the re-ranking comprises employing one or more modified ranking algorithms that have been trained, the training comprising: receiving an initial set of training data; employing the training data to train an initial ranking algorithm; employing the initial ranking algorithm to rank the training data into ranked training data; iteratively training the one or more modified ranking algorithms, comprising: selecting a subset of the ranked training data that have a highest ranking to train a modified ranking algorithm, wherein the subset comprises a number of items that is less than the entire set of ranked training data; training the modified ranking algorithm using the subset of ranked training data; employing the modified ranking algorithm to rank the subset of training data into ranked training data. 12. The method of claim 11 , determining the number of modified ranking algorithms based upon user preference or artificial intelligence.