Link-Based Ranking: PageRank

Related lectures (32)

Page 1 of 4

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

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

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

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

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

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

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

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

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

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