- works good when i "like" with a very broad category (i.e. click on all icons, landscape/city, maps, people - regardless whether i actually like the picture to hang on the wall or not)
- sometimes shows repeated images
- if a category has not enough pictures in it to show, it doesnt work (synthetic images / pop art)
- robbie williams and elvis presley portrait appear in result even when i liked landscape only, likewise neuschwanstein and beach oilpainting appear when i liked people portraits
for a poster buying decision i would enter "epic landscape", or "elvis presley" or "menger sponge render" into a textsearchengine and the result would be much more precise to what i actually like to see and much faster.
I see two usecases regarding buying a poster:
1. i am a robot and need some poster out of a predefined set of broad categorys
2. i am a tasteless human who enjoys klicking like and who needs to hide a hole in the wall with some semi-random image.
So my main problem with using this for a likeable-image decision is the constant collision of what the picture actually contains for me as a human to read into, and what the pixelbased train algo wants me to do (which i am unsure of what criteria it has).
But all the poster-buy-stuff application aside this is really interesting and for my understanding a difficult problem - nice work!