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Readgeek is an online book recommendations engine and social cataloging service launched in December 2010. The website allows users to search for books matching their individual taste making use of several algorithms. Taking ratings and metadata of prior read books into account, those algorithms help the site to learn about a users preferences ...
The New Yorker ' s Macy Halford noted that the algorithm was not perfect, as the number of books needed to create a perfect recommendation system is so large that "by the time I'd got halfway there, my reading preferences would have changed and I'd have to start over again." [22] As of 2012, membership was required to use but free. [23]
A user expresses his or her preferences by rating items (e.g. books, movies, or music recordings) of the system. These ratings can be viewed as an approximate representation of the user's interest in the corresponding domain. The system matches this user's ratings against other users' and finds the people with most "similar" tastes.
TasteDive (formerly named TasteKid) is an entertainment recommendation engine for films, TV shows, music, video games, books, people, places, and brands. It also has elements of a social media site; it allows users to connect with "tastebuds", people with like minded interests
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Project Hail Mary debuted at number three on The New York Times Best Seller list for Combined Print & E-Book Fiction in May 2021. [15] By August 2021, the book had been on the NYT list for nine weeks. [16] Project Hail Mary additionally achieved the #1 spot on the New York Times Audio Fiction Best Seller List for three weeks in February 2022 ...
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A recommender system (RecSys), or a recommendation system (sometimes replacing system with terms such as platform, engine, or algorithm), is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular user.