Created
November 14, 2014 16:59
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for iter=1:iterations | |
for row_train=1:size(train_user,1) | |
i=train_user(row_train); | |
j=train_movie(row_train); | |
r= train_rating(row_train); | |
u_i=U(i); | |
v_j=V(j); | |
for p=1:nDims | |
dJ_u=alpha*sum((transpose(u_i)*v_j-r)*transpose(v_j))+lambda*V(j,p); | |
U(i,p) = U(i,p) - dJ_u; | |
dJ_v=alpha*sum((transpose(u_i)*v_j-r)*u_i)+miu*U(i,p); | |
V(j,p) = V(j,p) - dJ_v; | |
end | |
train_predictions(i) = predict(u_i, v_j); | |
valid_predictions(i) = predict(valid_user, valid_movie); | |
end | |
% train_predictions = predict(train_user, train_movie); | |
% valid_predictions = predict(valid_user, valid_movie); | |
train_rmse = rmse(train_predictions, train_rating); | |
valid_rmse = rmse(valid_predictions, valid_rating); | |
fprintf('train rmse = %.4f, validation rmse = %.4f\n', train_rmse, valid_rmse); | |
end |
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