How can I improve the diversity of recommendations in my app?
To improve recommendation diversity, consider implementing techniques like collaborative filtering, content-based filtering, and diversity-aware algorithms.
What are some specific algorithms I can use?
You can explore algorithms like the Multi-Armed Bandit, Diversity-Enhanced Collaborative Filtering, and Clustering-based methods.
How do I evaluate the effectiveness of these algorithms?
Evaluate effectiveness using metrics like diversity score, user satisfaction surveys, and A/B testing to compare different approaches.
Can you suggest any tools or libraries for implementing these algorithms?
Sure! Libraries like Surprise, TensorFlow Recommenders, and Scikit-learn can help you implement these algorithms effectively.
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