Скачать или смотреть Evaluating Recommendation Algorithms at Delivery Hero - Manchit Madan

Join Manchit Madan as he unveils the secrets behind Delivery Hero's powerful recommendation algorithms. Learn how gradient boosting, NLP, and representation learning drive personalized suggestions, from completing your cart to recommending similar or complementary products. He also discusses the constant algorithmic enhancements at Delivery Hero, emphasizing the role of online A/B testing and strategic offline evaluations to elevate user experience without compromising business metrics.

This video provides essential insights into offline and online evaluations of recommender systems, empowering you to make informed decisions about the best algorithms for your use cases.

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Timecodes:
0:00 - Introductions
0:15 - About the Author
1:05 - Cross-selling Recommendations
2:52 - Why do we need offline evaluation?
4:01 - What is offline evaluation?
9:23 - How to Design Online Evaluation (A/B Tests)?
18:45 - Offline decide the best recommendation algorithm
21:45 - Conclusion

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