Readers Advisory

The article “Crowdsourcing RA”  by Davis Rapp speaks about the different types of web tools that you can use to get an online readers advisory. Different algorithms are used to calculate all of the books that a customer would enjoy based on ones that they have already read.

Rapp, David. “Crowdsourcing RA: with algorithms crunching numbers behind the scenes, sites like LibraryThing, Shelfari, and Goodreads are helping librarians with readers’ advisory.” Library Journal 1 June 2011: 56+. Academic OneFile. Web. 22 Sept. 2015.

This is the first time I have been introduced to Shelfari. The only readers advisory website I have known before is Goodreads. From my experience with Goodreads, I know how easy it is to find a readers advisory just by adding a few book titles to your list. I love the Amazon feature on Shelfari where you can see how much new and used books are worth. It gives you easy access to all the reading material you want. Shelfari’s recommendation’s are only given by people you are friends with on the site. There is no seperate readers advisory page, unlike Goodreads which has its own recommendation section. In my opinion, I prefer Goodreads over Shelfari because you can easily rate books as well as add them to your to read section while on Shelfari there are one too many steps just to leave a review on a book.

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Posted in Fundamentals of Information Services

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