Mahout in Action

List of Tables

Chapter 2. Introducing recommenders

Table 2.1. An illustration of the average difference and root-mean-square calculation

Chapter 3. Representing recommender data

Table 3.1. Illustration of default table schema for taste_preferences in MySQL

Chapter 4. Making recommendations

Table 4.1. The Pearson correlation between user 1 and other users based on the three items that user 1 has in common with the others

Table 4.2. The Euclidean distance between user 1 and other users, and the resulting similarity scores

Table 4.3. The preference values transformed into ranks, and the resulting Spearman correlation between user 1 and each of the other users

Table 4.4. The similarity values between user 1 and other users, computed using the ...