DataHour: Improving Search Results with Semantic Search

Online 04-08-2022 07:00 PM to 04-08-2022 08:00 PM
  • 7935


  • Knowledge and Learning


DataHour Recording

About the DataHour:

Pre-trained transformer models have significantly improved search results and yield much better results, even with the absence of linking information (PageRank) or click-rates. This is especially beneficial for use-cases where such information is not available. In this DataHour, Nils will cover the basics of semantic search and how to integrate it into systems to yield a better search experience to users.

Prerequisites: Enthusiasm for learning Data Science.

Who is this DataHour for?

  • Students with an interest in Data Science.
  • Data science professionals who want to accelerate their career growth.


Nils Reimers

Director of Machine Learning @ | ex-HuggingFace

Nils Reimers is an expert on search relevance using pre-trained transformer network. In 2018, he authored and open-sourced the popular sentence-transformers library, which is the most popular framework to design semantic search applications. Recently, he joined as principal scientist to lead the Search-as-a-Service team to develop new state-of-the-art neural search models and to make them broadly accessible as API endpoints.

You can follow him on Linkedin and Twitter.


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