Concept

Ranking (information retrieval)

Related lectures (18)

Link-based Ranking: Fundamentals and Algorithms

Covers the fundamentals and algorithms of link-based ranking, including anchor text indexing, PageRank, HITS, and practical implementations.

Graph Mining: Link Based Ranking and Document Classification

Explores link-based ranking, document classification, and graph mining techniques.

Graph Mining: Social Networks Analysis

Explores graph mining in social networks, covering modularity algorithms and community detection.

Link-Based Ranking: Introduction

Explores the significance of anchor text in link-based ranking and its impact on search results.

Information Retrieval Basics: Overview and Text-Based Retrieval

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

Practical Computation of PageRank

Covers the practical computation of PageRank using iterative methods and the challenges of the eigen-vector method.

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.

Markov Chains: PageRank Algorithm

Explores the PageRank algorithm within Markov chains, emphasizing ergodicity and convergence for web page ranking.

Link-based ranking: PageRank & HITS

Explores link-based ranking through PageRank and HITS algorithms, covering practical examples and challenges in web search and ranking methods.

Page Rank: Theory and Convergence

Explores Page Rank algorithm theory, convergence speed, ergodic chains, spectral gap, and chain examples.

Anchor Text Indexing and Page Ranking

Explores anchor text indexing, PageRank, and link-based ranking using a random walker model.

Link-Based Ranking: PageRank

Explores link-based ranking with a focus on PageRank algorithm and its practical application in web search engines.

Asymptotic Behavior of Markov Chains

Explores recurrent states, invariant distributions, convergence to equilibrium, and PageRank algorithm.

PageRank & HITS Algorithms

Explains PageRank and HITS algorithms for web page ranking and authority calculation.

Word Embeddings: Glove and Semantic Relationships

Explores word embeddings, Glove model, semantic relationships, subword embeddings, and syntactic relationships.

Social and Information Networks: Ranking

Explores the significance of ranking in networks, emphasizing algorithms like PageRank and HITS for web page ranking.

Link-based Ranking: Graph Mining

Explores link-based ranking and graph mining techniques for efficient web graph analysis.

Document Classification: Overview

Explores document classification methods, including k-Nearest-Neighbors, Naïve Bayes Classifier, transformer models, and multi-head attention.