Course talk:CPSC532:StaRAI:2017:XingZeng

Hi Xing,

I think you did a pretty good job in describing your methods. I just wanted to add 1 little thing. May be You could use some sort of highlighting of your methods or bullet points in order to organize your descriptions even better. And of course should add the future work.

Good Luck Moumita

Yes I will add future work section.

Hi Xing,

Thanks for the informative page! I enjoyed reading it. Here are my comments:

1. Coverage:

You included different methods you tried. There are methods that worked well and some that did not work.

2. Reproducing:

The methods sounds reproducible. Except the BPMF model that kind of over-fits on the small ML dataset.

3. Posting the code:

You included the codes you implemented. I could not find the BPMF code. Have you included this in the in your source?

4. What you learned:

You included what you learned in the page, especially from the statistics perspective.

5. Future work:

I don’t see any future work or plan for doing new things in future.

Hope that helps.

Cheers,

Bahare

I forget to add future work my bad I'll add them :)

The BPMF code was implemented in a library. I'll put a reference later in my code.

Hi Xing,

I liked the story telling style of your page; it tells the story of what you did, why, what you found out and where it went from there. Also, good job on justifying your decisions. It is quite a big chunk of text though; if you could divide it into several parts and name each part, that would be helpful in navigating through your page.

And another comment, did you try running your methods with rating >=4? I don't think this is necessary but since our paper describes methods based on rated and rating>=4, that would add a more comprehensive look at things.

Best, Alex

rating > 3 is equivalent of rating >= 4 since all rating are in integer, I just prefer not using >= when I don't want to use latex \geq = =

Yes I will add more bullet points.