tag:blogger.com,1999:blog-21734860.post3170905515079106339..comments2024-03-28T06:10:26.695-07:00Comments on Byron's Blog: Netflix PrizeByron Knollhttp://www.blogger.com/profile/07033149054635249156noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-21734860.post-5156950452335958242008-06-02T20:21:00.000-07:002008-06-02T20:21:00.000-07:00You are right, combining different types of analys...You are right, combining different types of analysis and additional information to feed into the neural network is the only way it is going to make decent predictions. Today I submitted predictions from a neural network which only had <user rating, average movie score> as inputs and the RMSE was 0.9914. I think one advantage to using neural networks is that they can detect patterns unique to an individual. For example, lets say that a user rates all of his/her movies with either a 1 or a 5. The neural network will be able to detect this pattern and will be less likely to predict a 2, 3, or 4. I have decided that for now I will continue using neural networks but work on adding additional inputs which might be useful for making predictions.Byron Knollhttps://www.blogger.com/profile/07033149054635249156noreply@blogger.comtag:blogger.com,1999:blog-21734860.post-58856144589546603902008-06-02T03:56:00.000-07:002008-06-02T03:56:00.000-07:00I've looked into the netflix algoritm and tried to...I've looked into the netflix algoritm and tried to learn about neural networks, but I'm afraid I don't get it. The SVD-methods I have no problems with.<BR/><BR/>If we look at your demo, it predicts how I will vote based on how I voted in the past (0,1). How does this help me in netflix, more than that users with a lower grade average will generally grade lower than users with a high grade average. Don't you have to combine this with some kind of cluster analysis in order to get any valuable results?Unknownhttps://www.blogger.com/profile/09863218746343044843noreply@blogger.com