We’d love to press a button and have the answer, but although machine learning is good, it’s not perfect. To ensure we produce insight into those exhibitors which are the best fit for our customers, we often find that we need to do a little more research, collect additional data, tweak the parameters and then re-calibrate our models using success. While there is a lot of maths behind this, we find that extra research and the benefit of time helps us improve our recommendations.
Additionally, we strongly believe that our data should be your data. That’s why we create exhibitor profiles based on many data sources. These provide an at-a-glance a profile of an exhibitor, telling us where they are located, where they have historically exhibited and where they may choose to exhibit in the future.