The article discussed in the podcast explains the BM25 algorithm, which is used by search engines to determine the relevance of documents for a specific search query. It explains the components of the BM25 formula - term frequency, inverse document frequency and document length normalization - and compares BM25 with the TF-IDF algorithm.
