Query Expansion: Methods and Algorithms

Related lectures (32)

Page 1 of 4

Covers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.

Introduces the basics of information retrieval, covering text-based and Boolean retrieval, vector space retrieval, and similarity computation.

Explores total order broadcast and its equivalence to consensus in reliable systems.

Covers counting distinct elements using hash functions and the median trick.

Explains the winning strategy in Connect Four by checking for winning combinations.

Covers indexing techniques, distributed retrieval algorithms, and challenges in large-scale web indexing.

Explores latent tree learning, covering node properties, sibling relationships, and algorithmic structure.

Explores group membership and view synchrony in distributed systems, ensuring accurate knowledge and coordinated views.

Covers the basics of information retrieval, including text-based retrieval and indexing techniques.