PageRank Algorithm used by Google Search to rank web pages PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. Currently, PageRank is not the only algorithm used by Google to order search results, but it is the first algorithm that was used by the company, and it is the best known.[2][3] As of September 24, 2019, all patents associated with PageRank have expired.[4] Description[edit] A PageRank results from a mathematical algorithm based on the webgraph, created by all World Wide Web pages as nodes and hyperlinks as edges, taking into consideration authority hubs such as cnn.com or mayoclinic.org. History[edit] The eigenvalue problem behind PageRank's algorithm was independently rediscovered and reused in many scoring problems. Algorithm[edit] where At
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Deep Web Intelligence We are finding many different industries are able to capitalize on Data-as-a-Service (DaaS). In this post we’ll uncover how a mining company is using BrightPlanet’s Data-as-a-Service model to monitor the Ebola health outbreak to keep their expatriates informed and out of harm’s way with the use of one dataset. You’ll see what type of data is harvested and how it is enriched to make it usable. Continue reading At BrightPlanet, we receive a number of questions about how BrightPlanet’s technology differs from our biggest competitors. People will commonly see companies like Kapow and Connotate and assume that our technologies are in direct competition. In this post, we hope to give you an understanding of how extraction companies and BrightPlanet’s harvesting technology don’t compete, as one may think, and explore the advantages of each individual technology. Continue reading Earlier this week, Forbes released an article titled “Insider Trading on the Dark Web”. Continue reading
Top of the Web Follow Springo on : Find top sites My top sites Top Sites News Music Video Sports Online Games Shopping Maps Photos Movies Select your setting: Search Engine Directory The Peer to Peer Search Engine instaGrok Seeks Seeks is a websearch proxy and collaborative distributed tool for websearch. Content Seeks code provides: a web proxy,a websearch meta search engine that aggregates results and ranks them based on consensus.a plugin system and a set of default plugins, including websearch and ad blocking plugins.a P2P collaborative filter that enables decentralized collaborative searching and sharing. Installation Dependencies: libcurllibxml2libpcretokyo cabinetprotocol bufferslibevent (optional, 2.x preferred)opencv (optional)docbook2x-man (optionnal) From the root directory, run . Compilation options can be listed with . Running Seeks This is an early version of Seeks, it is recommended your run it from the repository you compiled it from. cd src . see . For example, by default seeks does not run as a daemon. Other important options can be modified in the configuration file, src/config By default, seeks runs as proxy on the local machine (127.0.0.1) on port 8250. Troubleshooting
DirSense - Infinite Impression Ready To List Permanently About Futurity Futurity features the latest discoveries by scientists at top research universities in the US, UK, Canada, and Australia. The nonprofit site, which launched in 2009, is supported solely by its university partners (listed below) in an effort to share research news directly with the public. Contacts editor@futurity.org 615 Hylan Hall University of Rochester Rochester, NY 14627 Jenny Leonard, editoreditor@futurity.org (585) 275-6076 Katie George, assistant editorkgeorge@admin.rochester.edu (585) 276-4508 Liz Goodfellow, assistant editoregoodfel@admin.rochester.edu (585) 276-6186 Monique Patenaude, assistant editorm.patenaude@rochester.edu (585) 275-6725 Governing Board