[davidm1729]

I discovered a few books that I loved on Twitter a few months ago by pure luck, and I find it weird that in 2020 we didn't have more than mouth to mouth, bestseller lists, and "you may also like" to come upon some of these gems.

The site is quite self-explanatory, a large interactive map with more than 100,000 books placed and colored by their similarity. Right now, it's completely based on an algorithm, and things like being written by the same author do not directly affect position or color.

Probably the most interesting feature, apart from the map, is that when clicking on a book similar books will be highlighted based on that. However, there are other features like the ability to create your own lists.

Any feedback will be appreciated. Thank you!

[lmarcos]

Nice project.

What do you take into account when computing the similarly of two books? Do you use metadata (genre, author, etc.) or something else? Note that I'm more interested in the data that is used rather than in the methodology.

[davidm1729]

Thank you!

Some sites will show you "other users also saw..." information. This is a very raw form of similarity, but a good similarity score can be computed from that data. There is no metadata involved at all right now.