Feedback

Hi Bahare,

I like the structure of your page and I think that briefly explaining what each of the methods does is helpful too. One thing that caught my attention, is that our neural nets performance is very different, we must've used different parameters... but that happens so I think it's not something to worry about.

I agree with Moumita on that including some code snippets would be helpful.

In the results table: "MF and LR (k = 5) / rating", does "rating" mean "rating >= 4"?

Thanks, Alex

Hi Alex,

Thanks for your feedback. For the neural net I first reduced the dimension of the data-set (suing PCA) and then tried neural nets. That might be one reason why our results are different. My system crashed using all the data-set for building a neural net. Did you use all the data-set to build a neural net? Which library did you use for implementing the neural net?

I added some links to my page to referring to the codes.

"rating" means the actual ratings. I did not include these results in the paper.

Cheers,

Bahare

That indeed could be one reason... Also, I only used training dataset to build the network. As for the library, I used scikit's MLP classifier.

Alright, now I understand.

Thanks! :)

Alex