Distributed Search Theory, Amazon Cloud Search and Usecases

Join us to learn about enterprise search technologies, scaling, and how to provide sub-second searches on a billion document dataset.

Will will also cover what the biggest problem is in search and why is it one of the hardest problems to solve. Use cases include examples in retail, A/B testing, rules, query rewriting, LTR ML, and NLP algorithms.

Lastly, we will present machine comprehension models and the wikipedia article precise question answering system from Stanford SQUAD research.

Refreshments provided by Tential.