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query understanding

Enhancing Query Understanding with a Hybrid Classification Model

August 27, 2025 by Bryan Lineweaver

As part of the ongoing development of the FAME marketplace, a key objective is to provide an intelligent search experience that helps future users discover relevant resources through simple, free-text queries. To improve the search experience, FAME Search Engine uses filters that can be semantic interpreted such as: The developer or organization responsible for the … Read more

Categories Blog Tags FAME Marketplace, hybrid classification model, metadata inference, natural language processing, query understanding, semantic search, user query analysis Leave a comment

DISCLAIMER

​The FAME project has received funding from the European Union’s Horizon 2023 Research and Innovation Programe under grant agreement nª 101092639.

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe. Neither the European Union nor the granting authority can be held responsible for them.

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      • Pilot #1: FaMLy – A powerful financial recommendation engine for families
      • Pilot #2: Embedding Finance Services in a Personalized Citizen Wallet
      • Pilot #3: Personalized Collaborative Intelligence for Enhancing EmFi Services
      • Pilot #4: The EU Funds Application Process Made Easy
      • Pilot #5: ESG Scorecard Ranking & Sustainable Portfolio Optimisation
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      • Pilot #1: FaMLy – A powerful financial recommendation engine for families
      • Pilot #2: Embedding Finance Services in a Personalized Citizen Wallet
      • Pilot #3: Personalized Collaborative Intelligence for Enhancing EmFi Services
      • Pilot #4: The EU Funds Application Process Made Easy
      • Pilot #5: ESG Scorecard Ranking & Sustainable Portfolio Optimisation
      • Pilot #6: Embedding Climatic Predictions in Property Insurance Products
      • Pilot #7: Assessing the Quality and Monetary Value of Data Assets
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