Presentation of how search is today and how that is very different from the mental model users have of search in early 2000s
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Problems companies face in adopting ML and how to solve them
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Helping Elon build a "fair" ranking algorithm
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Why it might be time to be semantic-first and not lexical-first in building search systems
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Server side and client side logging needed to build recommender systems, ads and search systems
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To recap the previous two articles in this short-video recommendation series, part-1 "Using online learning in short-video recommendations” showed a…
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Applied ML #16 | Part 2 ML Design of a short-video recommendation platform
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Applied ML #15 | Part 1 ML Design of a short-video recommendation platform
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Applied ML #14
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Applied ML #13
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Applied ML #12
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Applied ML #11
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