Recommenders - Why are explanations important?
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Recommenders - Why are explanations important?
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About this listen
In this episode of AI And You, David discusses the importance of explainability in recommender systems, focusing on choiceMaster, the system created by David himself. He highlights how traditional recommenders lack transparency and often base recommendations on user history rather than individual preferences. choiceMaster, on the other hand, prioritises user input and provides detailed explanations for its recommendations, enhancing user trust and confidence in decision-making. He also touches on the role of generative AI in search engines and the educational aspect of recommender systems in guiding users towards making informed choices.
For further information;
https://www.choicemaster.org/
david@choicemaster.org
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In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.