The traditional way of thinking about search recall and precision is based on a lexical concept of relevance – delivering explicit product matches to the terms entered. However, perfect precision often leaves dollars on the table. A semantic approach considers relevance from the perspective of the searcher’s goal, retrieving additional products to increase the value of the results to that shopper.