Lecture

Information retrieval: vector space

In course

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Description

This lecture covers the basics of information retrieval, focusing on vector space models. Topics include similarity computation, cosine similarity, term frequencies, inverted files, and Fagin's algorithm. Practical exercises involve implementing relevance feedback and parallel scanning of posting lists.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_oswdf0ww

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Ontological neighbourhood

Information engineering

Natural language processing: Topics in natural language processing

Computer engineering

Databases: Relational databases

Theoretical computer science

Programming language theory: High-level programming languages

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