Probabilistic Retrieval: Practical Relevance Feedback

In course

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Description

This lecture covers the SMART approximation scheme for optimal query vectors, where users identify relevant documents from a result set. It discusses modifying queries to approximate optimal queries using tuning parameters. It also explores pseudo-relevance feedback, weighting schemes, query expansion, and automatic thesaurus generation.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ml5wo44x

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Ontological neighbourhood

Information engineering

Natural language processing: Topics in natural language processing

Statistics

Statistical inference: Mathematical statistics

Computer engineering

Software development: Software development process

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