FINDING THE SPACE SPANNED BY USER PROFILES FROM BINARY FEEDBACK

摘要

Finding the space spanned by user profiles of consumed items for making recommendations commences by first estimating a mean and covariance for a set of labeled items associated with a profile. Thereafter, a vector is identified that belongs to a convex cone spanned by the user profiles based on the estimated mean and covariance, the labels and items. The labels are mirrored in a negative space defined by the identified vector. The weighted covariance matrix is computed based on the mirrored labels; and eigenvalues and eigenvectors are computed of the weighted covariance matrix. A first set of eigenvalues share a value and wherein a remainder of the eigenvalues correspond to eigenvectors that span the profile.

主权项

1. A method for providing recommendations of items based on user behavior, comprising:
tracking user which items offered to users were purchased, storing user purchasing behavior in a user profile, and determining a span of user profiles; and making item recommendations based of the span of user profiles.