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State of the art advances in applied machine learning with a focus on recommender systems
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Life of a search query
Presentation of how search is today and how that is very different from the mental model users have of search in early 2000s
This is a two part series. In this article we will look at the current state of the art in Search. In the next article, we will try to imagine the future of search in a closed web ecosystem.
In the presentation, Life of a Search Query, we look at the high level design, query processing with horizontal scaling, aggregating multiple types of results and parts that can be implemented on device to enhance user experience. We also look at how over the last 3 years, the search stack has changed to an end to end ML solution.

Stay tuned!