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Eugene Yan explains how to bootstrap labels for search relevance

By PulseAugur Editorial · [1 sources] ·

Eugene Yan's blog post addresses a reader's question about bootstrapping labels for semantic search systems without relying on expensive human annotators. Yan suggests starting with traditional lexical search methods like BM25 and then using user click data as implicit labels to train a semantic search model. This approach aims to make the process more economically feasible for building search engines with custom data. AI

RANK_REASON Blog post discussing a technical approach to a common problem in AI-adjacent product development.

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Eugene Yan explains how to bootstrap labels for search relevance

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Blog post discussing a technical approach to a common problem in AI-adjacent product development.
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COVERAGE [1]

  1. Eugene Yan TIER_1 English(EN) ·

    Mailbag: How to Bootstrap Labels for Relevant Docs in Search

    Building semantic search; how to calculate recall when relevant documents are unknown.

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