This document analyzes popularity bias in book recommendation algorithms. It finds that most recommendation algorithms disproportionately recommend popular books, harming recommendations for niche users who prefer less popular books. It evaluates algorithms based on how they balance personalization against fairness of exposure across popular and niche items. While algorithms differ in their ability to capture individual tastes, addressing popularity bias could improve recommendations for all user groups, especially niche users who receive lower quality recommendations under current algorithms.