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