There are many good books out there. The only problem is finding them. You can follow recommendations from Amazon and roam social platforms such as MobileRead or Goodread. Or you could trust the proprietary artificial intelligence of
BookVibe, a new book discovery engine that extracts data from conversations in social media, including Twitter, to identify what's currently hot and what's not among users.
Vindu Goel of the NY Times gave BookVibe a spin:
Quote:
The service is still in beta, and it shows signs of being a work in progress. Extracting real meaning from the shorthand found in 140-word tweets can be a challenge for humans, let alone computers. Some books popped up on the recommended list because their author had mentioned them. Some reviews were missed because the Twitter user offered a link to an external review without summarizing it in the tweet.
But over all, I found BookVibe to a valuable single-purpose tool and an indication of what’s possible as social media search technology becomes more sophisticated.
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Full article @ NY Times Blogs
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dbw]