Lectures related to Link-Based Ranking: PageRank

Link-based Ranking: Fundamentals and Algorithms

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

Link-Based Ranking: Introduction

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

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.

Anchor Text Indexing and Page Ranking

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

Practical Computation of PageRank

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

Random Walker Model: PageRank

Covers the Random Walker Model, PageRank algorithm, and community detection in networks.

Knowledge Representation: Semantics and Data Structures

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.

Vector Space Information Retrieval

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

Calcul and algorithms: methodology

Explores the PageRank algorithm used by Google to rank web pages.

Information Retrieval Basics: Overview and Text-Based Retrieval

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

Markov Chains: PageRank Algorithm

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

Graph Mining: Link Based Ranking and Document Classification

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

Network and Web: the web

Introduces networking, web technologies, DNS, URL, client-server architecture, HTTP, HTML, CSS, Web 1.0, dynamic pages, and Web 3.0.

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.

Influence: Social Interaction and Online Metrics

Discusses social influence, online metrics, Page Rank, and the impact of money.

Network Protocols: Basics and Security

Introduces network protocols, routing, security vulnerabilities, dynamic web content, and the deep/dark web.

Graph Mining: Social Networks Analysis

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

Distributed Information Systems: Course Overview

Introduces the Distributed Information Systems course, emphasizing key concepts and practical tools for data processing.

Social and Information Networks: Ranking

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

PageRank & HITS Algorithms

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