Hello everyone, I was going through the research paper " http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.129.4662&rep=rep1&type=pdf"; (Alternatives to neighborhood based collaborative filtering) .I have understood the paper but was not able to comprehend "Normalizing by removing global effects(Methods)" properly.
I have understood that we estimate one "effect" at a time,in sequence . Is it that initially the values "X(ui)" are all set to one for all "i" ? Also what about "Theta(u)" for the first effect is it that initially "n"(number of movies rated my user) random values are assigned to it from a Normal Distribution and on later stages it is calculated by using "Thetacap(u)"?Also does for "X(ui)" depend upon the effect ? It would be of great help if I could be provided more information/paper relating to this. Thank You
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