Osman Yucel
Osman Yucel
> I had a similar idea: using machine learning, predict how likely a proposed trade is going to be accepted. The problem for that though, is there is no historical...
> > I am not sure what you mean by "why this is counted/not counted". > > Someone could say "why is [metric I consider to be important in a...
I started working on a simple model ( even if it ends up being thrown away, I am fine with it ) , but the data collection is quite slow...
> We ran into this problem too. There's only these (using cdn domain): > > * Most recent global trades: `https://bartervg.com/o/json/` > * User trade list: `https://bartervg.com/u//o/json/` > * User...
> > -> Collect all users from https://barter.vg/u/json > > -> Collect all offer IDs from `https://bartervg.com/u//o/json/` > > -> Collect all offer details from `https://bartervg.com/u//o//json/` > > I think...
By making an offer to you and saying give me B and I will give you A, I am intrinsicly claiming B is more valuable than A (for me). When...
> > By making an offer > > Excellent point. This would mean that even expired offers could provide some information. Yes, though I have to admit that I didn't...
I guess we can ignore cancelled. it can be one file, or if it is too large to handle, some partitioning would also work. Offers I have downloaded so far...
Parallelized version of the data collector downloads ~100K offers an hour. So I should have the data ready by tomorrow (hopefully). I hope I am not creating spikes in your...
I am done downloading the offers ( ~1.8 million). Now I can work on them.