Recommendation agents work by performing cluster analysis on a spreadsheet where the rows are customers and the columns are SKU's. If there is a 0 in the cell, then the customer has purchased that item, and if there is a 1 the customer has not purchased that item.

Question

Quizplus · Accepted Answer

Recommendation agents typically use machine learning algorithms to analyze customer behavior and preferences, rather than simply looking at a binary matrix of purchases. While purchase history may be a part of this analysis, it is not the sole determinant of recommended items.

Recommendation Agents Work by Performing Cluster Analysis on a Spreadsheet