#openwebsearchsymposium — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #openwebsearchsymposium, aggregated by home.social.
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🥁 Grand finale! Read our recap of day 3 at #ossym23.
Spoiler alert: Angella Ndaka from the University of Otago and the The Centre for Africa Epistemic Justice shared insights on the Ubuntu principle and discussed concerns about biases with regard to representation of African women online.
Amongst many more interesting presentations we also got to dive into Web Search in times of #AI.
More ⬇️: https://opensearchfoundation.org/en/review-ossym23-day-three/
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🥁 Grand finale! Read our recap of day 3 at #ossym23.
Spoiler alert: Angella Ndaka from the University of Otago and the The Centre for Africa Epistemic Justice shared insights on the Ubuntu principle and discussed concerns about biases with regard to representation of African women online.
Amongst many more interesting presentations we also got to dive into Web Search in times of #AI.
More ⬇️: https://opensearchfoundation.org/en/review-ossym23-day-three/
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🥁 Grand finale! Read our recap of day 3 at #ossym23.
Spoiler alert: Angella Ndaka from the University of Otago and the The Centre for Africa Epistemic Justice shared insights on the Ubuntu principle and discussed concerns about biases with regard to representation of African women online.
Amongst many more interesting presentations we also got to dive into Web Search in times of #AI.
More ⬇️: https://opensearchfoundation.org/en/review-ossym23-day-three/
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🥁 Grand finale! Read our recap of day 3 at #ossym23.
Spoiler alert: Angella Ndaka from the University of Otago and the The Centre for Africa Epistemic Justice shared insights on the Ubuntu principle and discussed concerns about biases with regard to representation of African women online.
Amongst many more interesting presentations we also got to dive into Web Search in times of #AI.
More ⬇️: https://opensearchfoundation.org/en/review-ossym23-day-three/
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#ossym23 flashback:
“Privacy-Preserving Collaborative Filtering: Evaluating a Machine Learning Recommender System in a Large Interconnected Organization” was presented by Igor Jakovljevic (ISDS Technische Universität Graz & CERN).The paper provides insights into the practical applicability and performance of privacy preserving CF techniques, thus contributing to the development of privacy-aware recommender systems in organizational settings.
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#ossym23 flashback:
“Privacy-Preserving Collaborative Filtering: Evaluating a Machine Learning Recommender System in a Large Interconnected Organization” was presented by Igor Jakovljevic (ISDS Technische Universität Graz & CERN).The paper provides insights into the practical applicability and performance of privacy preserving CF techniques, thus contributing to the development of privacy-aware recommender systems in organizational settings.
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#ossym23 flashback:
“Privacy-Preserving Collaborative Filtering: Evaluating a Machine Learning Recommender System in a Large Interconnected Organization” was presented by Igor Jakovljevic (ISDS Technische Universität Graz & CERN).The paper provides insights into the practical applicability and performance of privacy preserving CF techniques, thus contributing to the development of privacy-aware recommender systems in organizational settings.
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#ossym23 flashback:
“Privacy-Preserving Collaborative Filtering: Evaluating a Machine Learning Recommender System in a Large Interconnected Organization” was presented by Igor Jakovljevic (ISDS Technische Universität Graz & CERN).The paper provides insights into the practical applicability and performance of privacy preserving CF techniques, thus contributing to the development of privacy-aware recommender systems in organizational settings.