def support_vector_regressor(x_train: list, x_test: list, train_user: list) -> float:
    regressor = SVR(kernel="rbf", C=1, gamma=0.1, epsilon=0.1)
    regressor.fit(x_train, train_user)
    y_pred = regressor.predict(x_test)
    return y_pred[0]