Predictive tuning system

A predictive tuning algorithm configured to be implemented in a set-top box architecture, comprising pre-tuning a pre-defined number of channels, c, according to the following steps:

• the set-top box, in every channel changed event, transmitting the following input variables to the predictive tuning algorithm:
• a user identification;
• a channel inputted by a user, ce;
• a respective time of watch, h;
• the pre-defined number of channels, c;
• a watched channels memory array corresponding to a time slot xxyy of h, wherein each time slot is comprised by a matrix of channels, channels_matrix_xxyy and a vector of channels memory_channels_list_xxyy;
• updating and analyzing the watched channels memory array according to the channel inputted by the user;
• outputting a number of the pre-defined number of channels, c, according to the watched channels memory array in that time slot and a fixed β channels that are always primed,
• wherein the channels_matrix_xxyy is a matrix with two rows and as many columns as the sum of the number of visualizations of the last x channels, and
• wherein the memory_channels_list_xxyy is a vector with a FIFO behavior and configurable number of columns, x, recording a channel's flow transition.