BookLamp - Pandora for books(beta.booklamp.org)
beta.booklamp.org
BookLamp - Pandora for books
http://beta.booklamp.org/
9 comments
Pandora's matching doesn't have a very good hit rate recommending music to me. But it's okay for automatically generating a radio station, so that I don't have to be involved in selecting every song.
With books, I can't listen passively while doing something else. I'm involved in each and every book selection I make. When I'm involved, I'm already better at narrowing down my selection to things I might like than Pandora is.
With books, I can't listen passively while doing something else. I'm involved in each and every book selection I make. When I'm involved, I'm already better at narrowing down my selection to things I might like than Pandora is.
Indeed. I've found last.fm to be better than Pandora.
Anyone interested in this project should read the story behind it: http://www.cangooglehearme.com/chapter1.php
Actually, the way I found this is by typing "Aaron Staunton" into Google. I was wondering if his "idea" ever came into fruition.
So did he get picked up by Google or is this him doing this on his own?
If you choose George Orwell's 1984, the #1 match is the USA Patriot Act.
It would be an impressive demonstration of the algorithm, except that it appears to be an easter-egg.
It would be an impressive demonstration of the algorithm, except that it appears to be an easter-egg.
Could you make the site usable by people who don't want to sign in?
Pandora had a feature where you enter one song, and they tell you what they'd recommend. That intrigued me enough to sign up. That might be useful for BookLamp too.
Pandora had a feature where you enter one song, and they tell you what they'd recommend. That intrigued me enough to sign up. That might be useful for BookLamp too.
music is the most shallow of all art forms. the way people interact with music will not work when applied to other art forms.
Pandora's music DNA matching might be more successful because listening to music seems more visceral and less cognitive than reading books. The dimension space of book recommendation feature vectors could dwarf that of music and even movies. I wonder how the system would do in the Netflix challenge by turning the analysis on the production screenplays for the films.