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This lecture covers the implementation of Fagin's algorithm for information retrieval, focusing on parallel scanning of posting lists and aggregation of tf-idf scores. The algorithm aims to efficiently retrieve top-k documents by scanning posting lists and combining scores. It also discusses the theoretical basis and practical application of the algorithm.