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Are_grits_groceries Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 09:32 AM
Original message
The Literature Map - find authors who are similar to your favorites
http://www.literature-map.com/

Well, I could spend some time with this.
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TNDemo Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 09:38 AM
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1. Wow, thanks.
I sent this out to my book club.
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livvy Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 09:42 AM
Response to Original message
2. That is very cool, and useful too!
Bookmarked that baby. TY for posting. :)
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NV Whino Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 09:45 AM
Response to Original message
3. I did a fast test
It seems to rely on genre alone more than quality within the genre. For instance, Martha grimes, Ruth Rendell and Barbara Vine bear little resemblance to Minette Walters' (my choice) quality, although Elizabeth George comes close.
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Are_grits_groceries Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 10:22 AM
Response to Reply #3
9. Have you read Denise Mina? Nt
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NV Whino Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Nov-30-11 10:11 AM
Response to Reply #9
12. I haven't, but I'll check her out.
Thanks.
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OffWithTheirHeads Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 09:46 AM
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4. way cool! kr
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phantom power Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 09:58 AM
Response to Original message
5. Multidimensional scaling - cool
http://en.wikipedia.org/wiki/Multidimensional_scaling
http://www.analytictech.com/borgatti/mds.htm

The fun question: what underlying feature space and distance metric are they using?
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OneGrassRoot Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 09:59 AM
Response to Original message
6. Cool beans, will share. Thanks! :) n/t
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MineralMan Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 10:07 AM
Response to Original message
7. Very interesting. This appears to be built on
reader preferences. Something like Amazon's "If you enjoyed this book, you might also like..." sort of thing. What I found interesting is that Ayn Rand shows up not too far from Ernest Hemingway and several other authors, like Heinlein and others.

Oddly enough, Shakespeare shows up in almost every set I tried. I like this very much, and linked to it on my Facebook page. Some of the close matches were quite interesting.
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timtom Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 10:16 AM
Response to Original message
8. Great stuff.
Thanks.
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saras Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 11:23 AM
Response to Original message
10. Just like with music, it consistently points me towards the boring mainstream.
It doesn't understand anything about the CONTENT of books, it just tells who what other people who read the book also read, and of that only those who actively participate in the system.

It didn't have entries for Shimon Tzabar or Adam Gorightly, and it tells me that people who read Daniel Levitin (a neurologist who studies music) also read Orwell and Tolkien, but not Sacks, Damasio, Dennett, Gardner, Eagleman, or any other science.

If I enter something like Twilight or Danielle Steele, it works, but so what? If I want something like Danielle Steele, there's a whole shelf in the bookstore of stuff that's utterly indistinguishable.
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phantom power Donating Member (1000+ posts) Send PM | Profile | Ignore Tue Nov-29-11 01:05 PM
Response to Reply #10
11. That is because...
Doing what it does is (relatively) easy, whereas doing what you describe would be very very hard.

Also, the methods used obviously can only work to display books known to the system, and so the likelihood of a more unusual book getting into the data obviously drops off. I didn't see any method for entering more data, which was a bit disappointing. I wonder if they got it from a 3rd party like Amazon.
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