[Paper Reading] ROSE: Robust Caches for Amazon Product Search

Session led by: Dharin Shah

ROSE introduces a robust caching system that tolerates misspellings and typos while maintaining the efficiency of traditional caches. The core innovation is a randomized hashing schema that allows ROSE to index and retrieve a vast set of queries with constant memory and time. This system is robust against query intent, typos, and grammatical errors, offering theoretical guarantees of its performance.

Extensive experiments on real-world datasets highlight ROSE's effectiveness and efficiency, showcasing significant improvements in Amazon's search engine performance across key business metrics.

In this session we deep dive into the query caching layer at Amazon that allows for far better and robust search performance

https://drive.google.com/file/d/13YwkeCc1XwnRVDVkcuE7MKt2r7aqld24/view