How generative information retrieval is reshaping search – Search Engine Land
Search is dead, long live search!
Search isn’t what it used to be.
Search engines no longer simply match keywords or phrases in user queries with webpages. We are moving well beyond the world of lexical search, which is simply text-based with no understanding of the semantic connections between not only things but multimedia representations of things/concepts.
Today, AI can understand, contextualize, and generate information in response to user intent largely utilizing probabilistic prediction and pattern matching.
This transformation is being driven by generative information retrieval.
Generative information retrieval is a fundamental shift in how systems surface and present information.
Marc Najork, a distinguished scientist at Google DeepMind, laid out how large language models (LLMs) are changing search and information retrieval during a keynote at SIGIR 2023 that’s worth revisiting. His presentation also explored how we have reached this position via iterative change from…
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