×

On-line recommender system

  • US 7,475,027 B2
  • Filed: 02/06/2003
  • Issued: 01/06/2009
  • Est. Priority Date: 02/06/2003
  • Status: Expired due to Fees
First Claim
Patent Images

1. A computer implemented method for recommending items to consumers in a recommender system, comprising the steps of:

  • receiving a stream of rating on items from consumers via a network;

    updating sequentially, by a computer, a singular value decomposition of a preference matrix using the stream of ratings, in which each rating is processed one at a time and independent of any other ratings, while receiving the ratings, and wherein the updating is a sequential rank-1 update of the singular value decomposition to produce a thin SVD, and wherein the preference matrix is X, and wherein the singular value decomposition factors the preference matrix X into two orthogonal matrices U and V, and a diagonal matrix S≐

    diag(s), such that USVT=X, and UTXV=S, where T represents the SVD transform, the elements of s are singular values and columns of U and V are left and right singular vectors, respectively, and further comprising;

    arranging non-negative elements on the diagonal of S in descending order, and a first non-zero element in each column of U is positive so that the thin SVD is unique; and

    discarding all but a predetermined number of the r largest singular values and the corresponding singular vectors so that a product of the resulting thinned matrices, U′

    S′

    V′



    X, is a best rank-r approximation of X in a least-squares sense, and a matrix U′

    TX=S′

    V′

    T;

    predicting recommendations of particular items for a particular consumer based on the updated singular value decomposition while receiving the ratings and updating the singular value decomposition; and

    displaying the recommendations for the particular consumer on a graphical consumer interface via the network.

View all claims
  • 1 Assignment
Timeline View
Assignment View
    ×
    ×