Vikings Read More Book Club
The purpose of the Vikings Read More Book Club is to provide the SJR State community with an opportunity to address wellness, belonging, community building, and campus culture through reading and meaningful discussions.
St. Augustine Campus Book Club Meetings will occur in the St. Augustine Campus Viking Center- room V112!
Contact Brittnee for Help!
Dr. Brittnee Fisher
She/Her/Hers
Contact:
SJR State College
Palatka Campus Library
5001 St. Johns Avenue
Palatka, FL 32177
Palatka Campus Library
5001 St. Johns Avenue
Palatka, FL 32177
386-312-4158
Website
What is Reader's Advisory?
Readers' Advisory is a library service in which librarians help connect readers with books through direct or indirect means. So, whether you find a book using the resources on this guide or you stop in and talk to a librarian, you've participated in our readers' advisory services.
Book Recommendation Websites
- Epic ReadsYoung Adult books from A to Z. Including videos, new releases, interviews, top lists and much more!
- goodreadsGoodreads is the world’s largest site for readers and book recommendations. Our mission is to help people find and share books they love. Goodreads launched in January 2007.
- Literature MapThe Literature-Map is part of Gnod, the Global Network of Discovery. It is based on Gnooks, Gnod's literature recommendation system. The more people like an author and another author, the closer together these two authors will move on the Literature-Map.
- Narrative MuseLet’s match your personality with perfect stories by and about women and gender diverse people.
- Penguin TeenFind the best books for teens and fans of young adult literature, connect with authors, and get custom reading recommendations at Penguin Teen!
- ReadgeekYour best book recommendations - based on your taste. Take a quick test and let Readgeek recommend you your future favorite books.
- What Should I Read Next?WSIRN produces recommendations based purely on collective taste: when books are entered into the same favorites list, they become associated with each other. The more often particular items appear on different lists, the stronger that association becomes. Purely and simply, WSIRN represents mass opinion about books. For the technically minded, this is a collaborative filtering system, using our own bespoke algorithm called 'Incidence Bias Weighting' and partly using association rules.
Book Reviews
- BookpageReview style: professional reviews
- Book RiotReview styles: recommended lists, occasional staff reviews
- goodreadsReview styles: star rating, community reviews
- LibraryThingReview styles: star rating, recommendation, community reviews
- LoveReadingReview styles: staff and guest contributor reviews
- The MillionsReview styles: professional and guest contributor reviews
- NetGalleyReview styles: star rating, member reviews, spotlight reviews
- Reedsy DiscoveryReview styles: star rating, recommendation, editorial reviews, community reviews (video option available)
- SFBook ReviewsReview style: staff reviews