1.Recommender systems pinpoint user preferences and advise relevant content based on that information. One of my favorite recommender systems is Goodreads. Goodreads is one of the world’s largest sites for readers and book and movie recommendations. Target users include an audience who loves to read books and watch movies. It is also a place where you can see friends’ bookshelves and learn about what they thought of all their books or films, and vice versa. The key goals include personalized book recommendations from community reviews, with a website recommendation engine analyzing 20 billing data points to give suggestions tailored to the audience’s literary tastes to help them accomplish those goals.
2.Goodreads uses targeted ads to display features, products, and services that might interest the user, collecting information such as the user’s interactions with sites, content, or services. Goodreads analyzes cookies to understand the effectiveness of clicked and viewed internet-based ads to provide users with more useful and relevant ads. The website works with third parties, such as advertisers, publishers, social media networks, search engines, ad-serving companies, and advertising companies, to improve the relevance of its ads. Choosing not to see internet-based ads will not affect other services that use cookies, and information may still be collected for other purposes. The Goodreads API allows developers access to Goodreads data to develop more personalized websites or applications that deal with books. However, as of December 8th, 2020, Goodreads no longer issues new developer keys for public developer API and plans to retire the current version of these tools.
3.Goodreads uses item-item collaborating filtering, allowing users to see recommendations based on how they rate individual products. For example, if you rate a book as 10/10, you will see the top-rated books with similar attributes. However, it can be challenging to get users to give item ratings. Knowing that item filtering works best when you have more users on the platform than items, I would attract more users to provide items rating by offering specific points or perks toward the next purchase.
Goodreads Interest-Based Ads Notice https://help.goodreads.com/s/article/Goodreads-Interest-Based-Ads-Notice
Ad Preferences https://www.goodreads.com/adprefs