Information retrieval

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Related lectures (32)

Page 2 of 4

Text Retrieval: Document Ranking

Covers text retrieval tasks with document ranking and re-ranking, using a large corpus for evaluation.

Information Retrieval Basics: Boolean and Vector Space Models

Introduces Boolean and Vector Space models for information retrieval, covering syntax, similarity computation, term frequency, and query weights.

Vector Space Information Retrieval

Explores vector space retrieval, covering computation, examples, limitations of boolean retrieval, and query weights.

Latent semantic indexing: inverted files

Explores term-offset indices in inverted files and relevance feedback solutions.

Information Retrieval Basics: Document Length and Normalization

Explores document length, normalization, bias compensation, and retrieval model evaluation in information retrieval.

Information Retrieval: Basics and Techniques

Introduces the basics of Information Retrieval, covering indexing, weighting schemes, cosine similarity, and query evaluation.

Text-Based Information Retrieval

Covers the basic concepts of text-based information retrieval and how documents are indexed and retrieved based on user queries.

Information Retrieval Indexing: Part 1

Explores text retrieval systems, inverted files, addressing granularity, and access structures in information retrieval.

Introduction to Information Retrieval

Introduces the basics of information retrieval, covering text-based retrieval, document features, similarity functions, and the difference between Boolean and ranked retrieval.

Query Expansion: Methods and Algorithms

Explores query expansion methods, user relevance feedback, Rocchio algorithm, and practical considerations in expanding queries.