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Collaborative filtering techniques

In this section we briefly describe a linear state space model that serves as a building block for the main models of collaborative forecasting processes we present in this chapter. We then present a well-known forecasting technique associated with this model namely, the Kalman filter. Let Xt be a finite, n-dimensional vector process called the state of the system. In the context of inventory management, this vector may consist of early indicators of future demand in the channel, actual demand realizations at various points of the channel, and so forth. Suppose that the state vector evolves according to ... [Pg.407]


See other pages where Collaborative filtering techniques is mentioned: [Pg.188]    [Pg.188]    [Pg.100]    [Pg.116]    [Pg.260]    [Pg.327]    [Pg.353]    [Pg.284]    [Pg.627]    [Pg.76]    [Pg.346]    [Pg.627]    [Pg.2]   
See also in sourсe #XX -- [ Pg.188 ]




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