The Anatomy of a Search Engine
Computer Science Department, Stanford University, Stanford, CA 94305 In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at leas
The Google Technology Stack – Michael Nielsen
Posts PageRank and MapReduce Introduction to PageRank (video) Building our PageRank intuition (video) The PageRank distribution for the web (no video, short supplement extending the last post) Using your laptop to compute PageRank for millions of webpages Write your first MapReduce program in 20 minutes Using MapReduce to compute PageRank Consistent Hashing A Number-Theoretic Approach to Consisten
vincent krutler
The Google PageRank Algorithm in 126 Lines of Python Reading How Google Finds Your Needle in the Web's Haystack I was surprised by the simplicity of the math underlying the google PageRank algorithm, and the ease with which it seemed to be efficiently implementable. Being able to do a google-style ranking seems useful for a wide range of cases, and since I had wanted to take a look at python for
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