An online retailer wants to recommend products to users. They have a vast inventory, and they're unsure which products are most likely to be purchased. Every time a product is recommended and purchased, the retailer gets a reward. This setup is reminiscent of which problem?
- Recommender Systems
- NLP for Sentiment Analysis
- Clustering and Dimensionality Reduction
- Reinforcement Learning
The retailer's challenge of recommending products and receiving rewards upon purchase aligns with Recommender Systems. In this problem, algorithms are used to predict user preferences and recommend items to maximize user satisfaction and sales.
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