Leveraging GenAI to enhance Search Experience with Benjamin Belmudez Biering, Podimo

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Search is a particularly challenging task for podcasts, largely due to the sparse metadata typically associated with them. Unlike text-based content, podcasts often lack comprehensive descriptions, tags, or transcriptions, which can limit the effectiveness of traditional keyword-based search methods.

Techniques such as learning to rank, which uses machine learning to dynamically adjust the relevance of search results based on user feedback and interactions, can significantly improve search accuracy and user satisfaction.

Additionally, semantic search, which understands the intent and contextual meaning behind a query, can enhance discovery by connecting users to content that matches the deeper themes and subjects they are interested in, even when explicit keywords are missing. These advanced search technologies can transform the podcast search experience, making it more intuitive and responsive to user needs.

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Leveraging GenAI to enhance Search Experience with Benjamin Belmudez Biering, Podimo

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