"The race to build this better discovery tool for readers is not only on—it is crowded. For the companies leaning hard on engineering, like Discoverreads and WhatShouldIReadNext, book data from the user (usually beginning with books they’ve already read/liked)) is crunched against preference patterns created by other users and run though a proprietary algorithm. Others services create a social experience around reading itself (BookGlutton with online annotation, Copia with discussion while reading or afterwards), and view discovery as a secondary benefit of participation. More general recommendation services like LivingSocial and GetGlue are hybrids—treating your new favorite book, video game or beer as a set of fertile data but only good for growing recommendations when planted alongside those of your friends and extended social network."
Tuesday, March 8, 2011
Whoever Builds A Good Tool To Help Us Find New Books To Read Will Get Rich | paidContent
Whoever Builds A Good Tool To Help Us Find New Books To Read Will Get Rich | paidContent:
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