Book Ratings and Recommendations
About this episode
The episode discusses the misleading nature of Goodreads star ratings and explores how reader preferences and reviews impact perceptions of book quality.
Goodreads star ratings can be misleading as measures of "book quality," and research from Hannes Rosenbusch suggests that for many professionally published books, differences between readers often matter more than differences between books. The episode also explores how to model reader preferences, why reviews often reveal more about the reviewer than the text, and how LLMs can aid computational literary research while still falling short of human editors in creative writing.
More episodes of Data Skeptic
- The Future is Agentic in Recommender Systems
- Disentanglement and Interpretability in Recommender Systems
- Collective Altruism in Recommender Systems
- Niche vs Mainstream
- Healthy Friction in Job Recommender Systems
- Fairness in PCA-Based Recommenders
Explore listener stats, chart rankings, contacts and more on the Data Skeptic podcast page.