Book recommendations

Just had a lunchtime conversation about how you find new music that then turned to how you find new books.  There are lots of differences, with obvious reasons, but there’s one that is interesting and related to stuff I’m interested in work-wise.

For music, there’s things like LastFM, where social network effects help tell you that if you like X you might like Y, because lots of people who like X also like Y, and things like Pandora, where serious processing and analysis of the data can tell you that if you like X you might like Y, because X shares some computable properties with Y.

For books, there’s some social networking stuff (e.g. LibraryThing), but they don’t seem quite so effective.  (Possibly because books are less exciting than hot new music?)  And there is, of course, Amazon’s “people who bought X also bought Y”, but general consensus is that this is not much help.  There isn’t – so far as I know – anything that does the analysis-of-data thing and tells you that book X is like book Y in some computable way.  On the face of it that seems entirely possible and potentially very interesting.  But the trouble is getting hold of the data.  Google’s busy scanning the world’s books in, but they’re not going to let you have the entire data corpus to play with.  You can definitely do interesting stuff with full-text analysis – remember all that enthusiasm for Shakespearean authorship stuff years ago, and the who-wrote-Primary-Colors game?  Things have moved on since then.

I’ve gone on elsewhere about my belief that print-on-demand is going to be even more huge in the next five to ten years, reaching up from smallish documents that were the triumph of the 90s to full novel-length books.  Iff the publishers allow it, of course.   If they don’t they’ll go the way of the traditional music industry, which is looking extremely doomed at the moment (Radiohead having just released their latest album direct, eschewing the music industry, followed swiftly by Nine Inch Nails, Oasis and Jamiroquai, and today by Madonna – although she seems rather to have signed a traditional-style deal with a non-traditional outfit.)

Anyway – if publishers will allow distribution of electronic book texts as far as bookshops and libraries (and on to e-paper technologies as they come on stream), there is the potential for getting hold of the text of new books and doing interesting stuff with it, which will help people find new books they like.  Which would be cool.

 Edit: My lunchtime colleagues have suggested LibraryThing and What Should I Read Next – both ways of mining lists of what people have read/liked to generate suggestions for your own future reading.  (LibraryThing’s UnSuggester – books you are unlikely to find appealing – is far more fun to play with!)

Author: dougclow

Data scientist, tutxor, project leader, researcher, analyst, teacher, developer, educational technologist, online learning expert, and manager. I particularly enjoy rapidly appraising new-to-me contexts, and mediating between highly technical specialisms and others, from ordinary users to senior management. After 20 years at the OU as an academic, I am now a self-employed consultant, building on my skills and experience in working with people, technology, data science, and artificial intelligence, in a wide range of contexts and industries.

%d bloggers like this: