Live Poll Results — Which online retailer was the first to implement item-to-item collaborative filt
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The Evolution of Retail Recommendation Systems
Recommendation systems have revolutionized how retailers suggest products to consumers. From basic collaborative filtering to sophisticated AI algorithms, these systems have become increasingly sophisticated at predicting consumer preferences. Test your knowledge about the history and development of retail recommendation systems that are now fundamental to e-commerce success and customer experience.
Which online retailer was the first to implement item-to-item collaborative filtering for product recommendations at scale in the late 1990s?
Poll Type: Trivia | Total Votes: 0
| Option | Votes | Percentage |
|---|---|---|
| {'choice_text': 'Amazon', 'is_correct': True} | 0 | 0% |
| {'choice_text': 'eBay', 'is_correct': False} | 0 | 0% |
| {'choice_text': 'Netflix', 'is_correct': False} | 0 | 0% |
| {'choice_text': 'Alibaba', 'is_correct': False} | 0 | 0% |