This is fun. The huge database of more than 7 million books people have collected in their accounts at LibraryThing (oops, that one is on my list of things yet tried) is mined in a way you might have not thought anyone would want. The “UnSuggestor” takes a book title you enter, and from the accumulated data, picks the book least likely owned in the same collection:

Unsuggester takes “people who like this also like that” and turns it on its head. It analyzes the seven million books LibraryThing members have recorded as owned or read, and comes back with books least likely to share a library with the book you suggest. The unsuggestions come from LibraryThing data, not from Amazon. LibraryThing also produces great suggestions.

So consider yourself odd if you own both pairs of books? Well-rounded? a Library?

I am not sure what one might use this for, but clearly someone looked at the LibraryThing data pile sideways, and said, “what would happen if we did this?”

A linktribution goes to Platypus Matt at Kairosnews.

The post "Unsuggestor Turns Social Software Inside Out" was originally pulled like taffy through a needle's eye at CogDogBlog ( on December 4, 2006.

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