Lecture

Introduction to Information Retrieval

In course
DEMO: tempor aliquip
Laboris laboris cillum qui elit dolor eu dolore anim culpa duis est. Quis sit dolore excepteur cupidatat consequat pariatur fugiat dolor velit eiusmod. Exercitation commodo minim cillum occaecat in. Exercitation tempor excepteur sint minim amet consequat nisi minim dolore voluptate esse nisi. Veniam ad laboris incididunt veniam tempor consectetur dolore culpa. Cillum sint cupidatat amet reprehenderit nisi Lorem aliqua aliquip excepteur adipisicing laboris aliqua quis.
Login to see this section
Description

This lecture covers the fundamentals of information retrieval, including text-based retrieval, vector space retrieval, evaluating retrieval systems, inverted index, distributed retrieval, query expansion, probabilistic retrieval, latent semantic indexing, word embeddings, and link-based ranking. It explains the basic approach to information retrieval, the computation of the IR function, retrieval models, document features, similarity functions, and the difference between Boolean and ranked retrieval. The lecture also discusses the importance of relevance in retrieval models and the distinction between information retrieval and browsing.

Instructor
dolor consequat
Laborum esse anim magna qui ex cillum adipisicing excepteur. Nulla culpa consectetur cillum irure sunt incididunt consequat fugiat commodo. Qui aliqua voluptate quis pariatur esse non velit tempor officia pariatur eiusmod nisi mollit. Est cillum laboris nostrud amet quis eiusmod dolor. Reprehenderit sint sunt elit tempor fugiat magna esse.
Login to see this section
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.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.