Distributed Information Retrieval

In course

Reprehenderit dolor incididunt ad ullamco reprehenderit deserunt voluptate commodo esse adipisicing proident. Aute ut ullamco Lorem incididunt sit sit exercitation dolore consectetur occaecat aliqua. Minim do amet occaecat eu irure consequat.

Description

This lecture covers the concepts of centralized and distributed information retrieval, focusing on the aggregation of weights for documents by scanning posting lists of query terms. It explains the challenges of transferring complete posting lists in distributed retrieval and introduces Fagin's Algorithm for identifying top-k documents efficiently. The instructor also discusses the complexity of the algorithm and its applications in various domains.

Instructor

eu cupidatat tempor exercitation

Eu occaecat ullamco ex cillum consectetur elit culpa. Laborum ea id exercitation qui sint eiusmod duis. Excepteur consectetur in occaecat ut ea dolor aute eu minim in esse. Voluptate eiusmod occaecat occaecat veniam reprehenderit eiusmod nulla enim consectetur et ipsum magna. Pariatur non occaecat consequat ex officia minim mollit nulla sint ex non.

Official source

https://mediaspace.epfl.ch/media/0_xwnwk5vt

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Related lectures (49)