Statistical similarity
Increasing the Probability of Choice through targeted recommendations in the webshop or contact suggestions on LinkedIn – all this functionality is based on statistical distance measures.
Recommender systems are based on recognizing similarities and use statistical methods to suggest products that might be of interest to customers.
The application of such systems is equally important for products and services. Social media would not function without them.
The Jaccard distance, which measures dissimilarity between sample sets, is complementary to the Jaccard coefficient and is obtained by subtracting the Jaccard coefficient from 1, or, equivalently, by dividing the difference of the sizes of the union and the intersection of two sets by the size of the union:
