31–40 of 65 posts
Interesting but the visualization is useless. How about a standard tabular format maybe grouped by genre?
The 'genres' emerge out of the clusters. The fact that you can pick out 'genres' from this plot is an example of semi-supervised learning.
Earlier quoted context omitted.
The 'genres' emerge out of the clusters. The fact that you can pick out 'genres' from this plot is an example of semi-supervised learning.
OK but there's no clue what they are until you start poking around. It's not something that's useful without some substantial investment of time and exploration. If that's the goal, fine but it's not how I would present a "favorite books" list.
Niiice! I really like it. The spatial approach is cool, though labelling/annotations/axes would help. I share the frustraion with getting book covers for my project ablf.io. Amazon used to make this much easier, but they've locked it down recently, so you have to jump through affiliate hoops. I ended up implementing my own thing and storing thousands of images myself on S3. If you have the goodreads IDs, feel free to…
It even recommended me a somewhat eclectic book I’ve recently been meaning to read.
Is there a reason you limit to only 6 favorite books? Is it due to computational restraints?
Interesting but the visualization is useless. How about a standard tabular format maybe grouped by genre?
Probably a comment on my subconscious desire for familiarity/patterns, but the left side of the map instantly made me think of NW Europe: long skinny Norway dangling between the UK and Denmark (not correctly spaced, but sizes are reasonably correct!). A few other candidates at a stretch - maybe some Baltic states off to the east, for example - but after that it breaks down unfortunately.
Cool project sir
Really cool to see my favs show up, but I honestly don't understand what we're actually looking at; the groupings seem very opaque beyond very general themes like sci-fi, startups, biographies, math, physics. In other words, what are the clustering shapes telling us? Can we dig in based on geography, publishing date, key terms or themes? Either way, I can't keep the site open for more than 30-40 seconds before it cra…
Yup, probably was about to happen to me too, had I not closed it.
CPU fan almost launched off the troposphere about 30 seconds in.
Probably a cluttered bunch of heavily unoptimized ReactJS modules in there (no offense to OP, I know it probably sped up development by 10x at least)