Personalized book recommendations based on individual reading preferences
Many people struggle to find new books to read that match their interests and preferences. A startup could create a platform that utilizes machine learning algorithms to curate and recommend personalized book recommendations to users, taking into account their genre preferences, previous reading history, and ratings. Users will be able to discover new books tailored to their tastes, saving time and frustration. This startup idea falls under the curated content industry.