We are in the process of moving from K2 to IDOL, but we would like to move some of our K2 collections directly to IDOL to understand how the native IDOL relevance may impact our existing ranking algorithms. Is there a way to do this quickly, even before we are actually ready to perform a full index run within IDOL?
This article discusses relevancy tuning using the primary information platform from Autonomy known as the IDOL Server. Autonomy uses Bayesian inference and Shannon's information theory to determine relevance, which allows the engine to perform powerful conceptual searches, although more common search methods such as exact match are also available.
Because of the conceptual approach, tuning search results using Autonomy differs from the query cooling common with Verity K2, and we'll address three simple tuning approaches in this article.