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About Lecture 1 - Introduction: IEOR 242 - Applications in Data Analysis Fall 2019 - Paul Grigas
The document provides an overview of Google's search engine and the PageRank algorithm. It discusses how early search engines ranked pages based on simple word counts, and how Google developed PageRank to view the web as a network and rank pages based on the number and quality of inbound links. PageRank models a random web user clicking on links to probabilistically estimate the popularity of pages based on this network structure.
Detailed Information
Author: | ['Marc Horneck'] |
---|---|
Publication Year: | 2020 |
Pages: | 66 |
Language: | English |
Format: | |
Price: | FREE |
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