May 2, 2023 · In this blog post, we will explore how graphs are used in search engines, covering topics such as entity linking, semantic search, link analysis, personalization and knowledge graphs. One of the...

Jun 15, 2023 · In the realm of graph search algorithms, two fundamental techniques stand out: Breadth-first search (BFS) and Depth-first search (DFS). These algorithms provide crucial building blocks for traversing and exploring graphs in different ways.

Graph search refers to algorithms that systematically explore or traverse a graph. Some searches, like DFS and BFS, focus on the order in which nodes are visited. Others, such as Dijkstra’s or A*, track and minimize costs to find the shortest route.

May 1, 2022 · In our presentation, we will cover two real life applications of Graph Theory: Dijkstra Algorithm and PageRank. Dijkstra Algorithm is used to help find the shortest path from one point to another. PageRank is used to determine the most relevant webpages when a user makes a search in a search engine.

Aug 30, 2022 · Whether to find the shortest route of virtual maps or to create a database link between search engines, Graph Theory, a concept that might seem challenging and arduous has a lot of real-life applications.

Sep 20, 2011 · The Google Search Engine is based one simple algorithm called PageRank. Originally conceived by Larry Page and Sergey Brin in 2008, PageRank is an optimization algorithm based on a simple graph. The attached publication is Page’s and Brin’s original paper which details the exact original PageRank algorithm.

Nov 23, 2022 · Graph Theory is used to model the concept behind a search engine like Google. The PageRank algorithm developed by the founders of Google makes use of Linear Algebra and Numerical methods to solve...

Undergraduate-level algorithm design and analysis (as covered in CS 161): recursion, divide and conquer, dynamic programming, O-notation Some previous exposure to basic graph algorithms including depth-first search, topological sorting, and Dijkstra’s algorithm (we will go over them again, but as review)

The Hyperlink-Induced Topic Search (HITS) algorithm, developed by Jon Kleinberg in 1999, is a link analysis algorithm that assigns two types of scores to web pages based on their hyperlink structure. HITS is used primarily to find authorities and hubs within a graph, which has applications in web search, social network analysis, and ...

In this chapter, we study graph theory that is applied to web search engines such as Google, Yahoo, Bing, and others, which search web pages and websites. Here web pages are linked to each other through hyperlinks on the Internet.