Query: web ranking scoring algorithm

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AIM Fight <=SEP=> AIM Fight was a program designed to compare the popularity of two AOL Instant Messenger (AIM) screen names. AIM Fight was not an official AOL product.To "fight," two screen names are entered into the Web page and then each screen name was run through an algorithm that runs through the buddy lists of everybody signed on at that particular moment. The algorithm returns a score that represents the sum of the number of people who have those screen names listed as a buddy out to the third degree.

Adversarial information retrieval <=SEP=> Adversarial information retrieval (adversarial IR) is a topic in information retrieval related to strategies for working with a data source where some portion of it has been manipulated maliciously.  Tasks can include gathering, indexing, filtering, retrieving and ranking information from such a data source.

Algorithm <=SEP=> In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ AL-gə-ri-dhəm) is a self-contained step-by-step set of operations to be performed.  Algorithms exist that perform calculation, data processing, and automated reasoning.An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function.

Algorithm design <=SEP=> Algorithm design is a specific method to create a mathematical process in solving problems.  Applied algorithm design is algorithm engineering.Algorithm design is identified and incorporated into many solution theories of operation research, such as dynamic programming and divide-and-conquer.  Techniques for designing and implementing algorithm designs are algorithm design patterns, such as template method pattern and decorator pattern, and uses of data structures, and name and sort lists.

Anchor text <=SEP=> The anchor text, link label, link text, or link title is the visible, clickable text in a hyperlink. The words contained in the anchor text can determine the ranking that the page will receive by search engines. Since 1998, some web browsers have added the ability to show a tooltip for a hyperlink before it is selected. Not all links have anchor texts because it may be obvious where the link will lead due to the context in which it is used. Anchor texts normally remain below 60 characters.

Bridge scoring <=SEP=> Bridge scoring is keeping score in contract bridge. There are two main categories of scoring: duplicate and rubber scoring. While based upon the same basic elements of scoring, they differ in how the elements are applied to individual deals and in how these are then totaled. Chicago, being a variant of rubber bridge, uses an adaptation of rubber bridge scoring.

Browser speed test <=SEP=> A browser speed test is a computer benchmark that scores the performance of a web browser, by measuring the browser's efficiency in completing a predefined list of tasks. In general the testing software is available online, located on a website, where different algorithms are loaded and performed in the browser client.

CLEVER project <=SEP=> The CLEVER project was a research project in Web search led by Jon Kleinberg at IBM's Almaden Research Center.Techniques developed in CLEVER included various forms of link analysis, including the HITS algorithm.The CLEVER search engine incorporates several algorithms that make use of the Web's hyperlink structure for discovering high-quality information.

CWTS Leiden Ranking <=SEP=> The CWTS Leiden Ranking is an annual global university ranking based exclusively on bibliometric indicators. The rankings are compiled by the Centre for Science and Technology Studies (Dutch: Centrum voor Wetenschap en Technologische Studies, CWTS) at Leiden University in the Netherlands.

Cluster analysis <=SEP=> Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters).

Collaborative filtering <=SEP=> Collaborative filtering (CF) is a technique used by some recommender systems. Collaborative filtering has two senses, a narrow one and a more general one.  In general, collaborative filtering is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc.  Applications of collaborative filtering typically involve very large data sets.

College and university rankings <=SEP=> College and university rankings are rankings of institutions in higher education ordered by various combinations of various factors. Rankings have most often been conducted by magazines, newspapers, websites, governments, or academics. In addition to ranking entire institutions, organizations perform rankings of specific programs, departments, and schools.

Discounted cumulative gain <=SEP=> Discounted cumulative gain (DCG) is a measure of ranking quality. In information retrieval, it is often used to measure effectiveness of web search engine algorithms or related applications. Using a graded relevance scale of documents in a search engine result set, DCG measures the usefulness, or gain, of a document based on its position in the result list. The gain is accumulated from the top of the result list to the bottom with the gain of each result discounted at lower ranks.

Examples of Markov chains <=SEP=> This page contains examples of Markov chains in action.

Findability <=SEP=> Findability is a term for the ease with which information contained on a website can be found, both from outside the website (using search engines and the like) and by users already on the website. Although findability has relevance outside the World Wide Web, the term is usually used in that context. Most relevant websites do not come up in the top results because designers and engineers do not cater to the way ranking algorithms work currently.

Gary Robinson <=SEP=> Gary Robinson is an American software engineer and inventor notable for his mathematical algorithms to fight spam. In addition, he patented a method to use web browser cookies to track consumers across different web sites, allowing marketers to better match advertisements with consumers.

Generalized linear model <=SEP=> In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution.

Google Panda <=SEP=> Google Panda is a change to Google's search results ranking algorithm that was first released in February 2011. The change aimed to lower the rank of "low-quality sites" or "thin sites", and return higher-quality sites near the top of the search results. The name “Panda” comes from Google engineer Navneet Panda, who developed the technology that made it possible for Google to create and implement the algorithm.

Google Penguin <=SEP=> Google Penguin is a codename for a Google algorithm update that was first announced on April 24, 2012. The update is aimed at decreasing search engine rankings of websites that violate Google’s Webmaster Guidelines by using now declared black-hat SEO techniques involved in increasing artificially the ranking of  a webpage by manipulating the number of links pointing to the page. Such tactics are commonly described as link schemes.

Google Search <=SEP=> Google Search, commonly referred to as Google Web Search or just Google, is a web search engine owned by Google Inc. It is the most-used search engine on the World Wide Web, handling more than three billion searches each day. As of February 2015 it is the most used search engine in the US with 64.5% market share.The order of search on Google's search-results pages is based, in part, on a priority rank called a \PageRank\"."

HITS algorithm <=SEP=> Hyperlink-Induced Topic Search (HITS; also known as hubs and authorities) is a link analysis algorithm that rates Web pages, developed by Jon Kleinberg.

Information retrieval <=SEP=> Information retrieval (IR) is the activity of obtaining information resources relevant to an information need from a collection of information resources.  Searches can be based on metadata or on full-text (or other content-based) indexing.Automated information retrieval systems are used to reduce what has been called "information overload". Many universities and public libraries use IR systems to provide access to books, journals and other documents.

Larry Page <=SEP=> Lawrence "Larry" Page (born March 26, 1973) is an American computer scientist and internet entrepreneur who co-founded Google Inc. with Sergey Brin, and will be the future CEO of the proposed conglomerate, Alphabet Inc. Page is the inventor of PageRank, Google's best-known search ranking algorithm.

Learning to rank <=SEP=> Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. Training data consists of lists of items with some partial order specified between items in each list. This order is typically induced by giving a numerical or ordinal score or a binary judgment (e.g. "relevant" or "not relevant") for each item.

List of algorithms <=SEP=> The following is a list of algorithms along with one-line descriptions for each.

List ranking <=SEP=> In parallel algorithms, the list ranking problem involves determining the position, or rank, of each item in a linked list. That is, the first item in the list should be assigned the number 1, the second item in the list should be assigned the number 2, etc. Although it is straightforward to solve this problem efficiently on a sequential computer, by traversing the list in order, it is more complicated to solve in parallel.

Machine learning <=SEP=> Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.

Medical algorithm <=SEP=> A medical algorithm is any computation, formula, statistical survey, nomogram, or look-up table, useful in healthcare.  Medical algorithms include decision tree approaches to healthcare treatment (e.g., if symptoms A, B, and C are evident, then use treatment X) and also less clear-cut tools aimed at reducing or defining uncertainty.

Metasearch engine <=SEP=> A metasearch engine (or aggregator) is a search tool that uses another search engine's data to produce their own results from the Internet. Metasearch engines take input from a user and simultaneously send out queries to third party search engines for results.

Mobilegeddon <=SEP=> Mobilegeddon is a name given by webmasters and web-developers to the Google's algorithm update of April 21, 2015. The main effect of this update is give priority to web sites that display well on smartphones and other mobile devices. The change does not affect searches made from a desktop computer or a laptop.Google announced its intention to make the change in February 2015.

Nofollow <=SEP=> nofollow is a value that can be assigned to the rel attribute of an HTML a element to instruct some search engines that the hyperlink should not influence the ranking of the link's target in the search engine's index. It is intended to reduce the effectiveness of certain types of internet advertising because their search algorithm depends heavily on the number of links to a website when determining which websites should be listed in what order in their search results for any given term.

Nutritional rating systems <=SEP=> Nutritional rating systems are methods of ranking or rating food products or food categories to communicate the nutritional value of food in a simplified manner to a target audience. Rating systems are developed by governments, nonprofit organizations, or private institutions and companies.The methods may use point systems to rank or rate foods for general nutritional value or they may rate specific food attributes such as cholesterol content.

Official World Golf Ranking <=SEP=> The Official World Golf Ranking is a system for rating the performance level of male professional golfers (although there is no rule prohibiting women from being ranked).

PageRank <=SEP=> PageRank is an algorithm used by Google Search to rank websites in their search engine results. PageRank was named after Larry Page, one of the founders of Google. PageRank is a way of measuring the importance of website pages. According to Google: PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites.

PostRank <=SEP=> PostRank was a social media analytics service that used a proprietary ranking algorithm to measure "social engagement" with published content based on blog comments and links, Internet bookmarks, clicks, page views, and activities from social network services such as Twitter, Digg, Facebook and Myspace. In June 2011, PostRank was acquired by Google.The company was formerly called AideRSS, Inc.

Query expansion <=SEP=> Query expansion (QE) is the process of reformulating a seed query to improve retrieval performance in information retrieval operations.In the context of web search engines, query expansion involves evaluating a user's input (what words were typed into the search query area, and sometimes other types of data) and expanding the search query to match additional documents.

Rank SIFT <=SEP=> Rank SIFT algorithm is the revised SIFT (Scale-invariant feature transform) algorithm which uses ranking techniques to improve the performance of the SIFT algorithm. In fact, ranking techniques can be used in key point localization or descriptor generation of the original SIFT algorithm.

Ranking <=SEP=> A ranking is a relationship between a set of items such that, for any two items, the first is either 'ranked higher than', 'ranked lower than' or 'ranked equal to' the second.In mathematics, this is known as a weak order or total preorder of objects. It is not necessarily a total order of objects because two different objects can have the same ranking. The rankings themselves are totally ordered.

Ranking SVM <=SEP=> In machine learning, a Ranking SVM is an application of Support vector machine, which is used to solve certain ranking problems. The algorithm of ranking SVM was published by Thorsten Joachims in 2003.The original purpose of Ranking SVM is to improve the performance of an internet search engine. However, it was found that Ranking SVM also can be used to solve other problems such as Rank SIFT.

Reputation system <=SEP=> A reputation system computes and publishes reputation scores for a set of objects (e.g. service providers, services, goods or entities) within a community or domain, based on a collection of opinions that other entities hold about the objects. The opinions are typically passed as ratings to a central place where all perceptions, opinions and ratings can be accumulated.

SCImago Journal Rank <=SEP=> SCImago Journal Rank (SJR indicator) is a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from. The SJR indicator is a variant of the eigenvector centrality measure used in network theory.

Sandbox effect <=SEP=> According to the theory of the sandbox effect, links which may normally be weighted by Google's ranking algorithm, not least improving the position of a webpage in Google's index, may be subjected to filtering to prevent their having a full impact.

Scoring algorithm <=SEP=> In statistics, Fisher's scoring algorithm is a form of Newton's method used to solve maximum likelihood equations numerically.

Search algorithm <=SEP=> In computer science, a search algorithm is an algorithm for finding an item with specified properties among a collection of items which are coded into a computer program, that look for clues to give you back exactly what you want.

Search engine optimization <=SEP=> Search engine optimization (SEO) is the process of affecting the visibility of a website or a web page in a search engine's unpaid results - often referred to as "natural," "organic," or "earned" results. In general, the earlier (or higher ranked on the search results page), and more frequently a site appears in the search results list, the more visitors it will receive from the search engine's users.

SimRank <=SEP=> SimRank is a general similarity measure, based on a simple and intuitive graph-theoretic model.SimRank is applicable in any domain with object-to-object relationships, that measures similarity of the structural context in which objects occur, based on their relationships with other objects.Effectively, SimRank is a measure that says "two objects are considered to be similar if they are referenced by similar objects."

Smith–Waterman algorithm <=SEP=> The Smith–Waterman algorithm performs local sequence alignment; that is, for determining similar regions between two strings or nucleotide or protein sequences. Instead of looking at the total sequence, the Smith–Waterman algorithm compares segments of all possible lengths and optimizes the similarity measure.The algorithm was first proposed by Temple F. Smith and Michael S. Waterman in 1981.

Social search <=SEP=> Social search or a social search engine is a type of web search that takes into account the Social Graph of the person initiating the search query. When applied to web searches the Social-Graph uses established algorithmic or machine-based approaches where relevance is determined by analyzing the text of each document or the link structure of the documents.

Spam in blogs <=SEP=> Spam in blogs (also called simply blog spam, comment spam, or social spam) is a form of spamdexing.

Spamdexing <=SEP=> In computing, spamdexing (also known as search engine spam, search engine poisoning, Black-Hat SEO, search spam or web spam) is the deliberate manipulation of search engine indexes.

Sproose <=SEP=> Sproose was a consumer search engine launched in August 2007 by founder Bob Pack. Sproose provided web search results from partners including MSN, Yahoo! and Ask.com. Sproose intended to have better-quality results than algorithmic search engines because its users were able to influence the ranking order of the search results by voting for websites (which moved them up in the order of search results) and deleting bad or spam results.

Stanine <=SEP=> Stanine (STAndard NINE) is a method of scaling test scores on a nine-point standard scale with a mean of five and a standard deviation of two.Some web sources attribute stanines to the U.S. Army Air Forces during World War II. Psychometric legend has it that a 1-9 scale was used because of the compactness of recording the score as a single digit but Thorndike  claims that by reducing scores to just nine values, stanines "reduce the tendency to try to interpret small score differences (p. 131)".

TCExam <=SEP=> TCExam is a free source Computer-Based Assessment software system for electronic exams (also known as E-assessment, Computer-Based Testing or e-exam) that enables educators and trainers to author, schedule, deliver, and report on quizzes, tests and exams.

Times Higher Education World University Rankings <=SEP=> Times Higher Education World University Rankings is an annual publication of university rankings by Times Higher Education (THE) magazine. It had previously collaborated with Quacquarelli Symonds (QS) to announce THE–QS World University Rankings from 2004 to 2009 before the partnership was terminated and both started to publish their own league tables. THE chose to co-operate with Thomson Reuters and more recently Elsevier, and created a new ranking system.

Topic-Sensitive PageRank <=SEP=> Topic-Sensitive PageRank (commonly referred to as TSPR) is a context-sensitive ranking algorithm for web search developed by Taher Haveliwala while at Stanford University,and thought to be used by Google for the purpose of indexing and ranking search results in the search engine results pages, although no evidence has been shown of it in practice.

TrustRank <=SEP=> TrustRank is a link analysis technique described in the paper Combating Web Spam with TrustRank by researchers Zoltan Gyongyi and Hector Garcia-Molina of Stanford University and Jan Pedersen of Yahoo! . The technique is used for semi-automatic separation of useful webpages from spam.Many web spam pages are created only with the intention of misleading search engines.

University Ranking by Academic Performance <=SEP=> The University Ranking by Academic Performance, abbreviated as URAP,  was developed in the Informatics Institute of Middle East Technical University. Since 2010, it has been publishing annual national and global college and university rankings for top 2000 institutions.  The scientometrics measurement of URAP  is based on data  obtained from the Institute for Scientific Information via Web of Science and inCites.

VisualRank <=SEP=> VisualRank is a system for finding and ranking images by analysing and comparing their content, rather than searching image names, Web links or other text.

Wazap! <=SEP=> Wazap! is a vertical search engine, video game database and social networking site to distribute gaming news, rankings, cheats, downloads and reviews. As a vertical search engine, it indexes gaming sites and categorizes the information as news, reviews, cheats, downloads, previews and articles.  Wazap uses a search algorithm, developed internally, to rank indexed pages according to their relevance. Further relevance to the Search engine results page (SERP) is obtained from user interactivity.

Web index <=SEP=> The Web Index, a composite statistic designed and produced by the World Wide Web Foundation, the Web Index is the first multi-dimensional measure of the World Wide Web’s contribution to development and human rights globally.  It covers 81 countries, incorporating indicators that assess the areas of universal access; freedom and openness; relevant content; and empowerment, which covers indicators of economic, social, and political impacts of the Web.

Web search engine <=SEP=> A web search engine is a software system that is designed to search for information on the World Wide Web.  The search results are generally presented in a line of results often referred to as search engine results pages (SERPs). The information may be a mix of web pages, images, and other types of files. Some search engines also mine data available in databases or open directories.

Webometrics <=SEP=> The science of webometrics (also cybermetrics) tries to measure the World Wide Web to get knowledge about the number and types of hyperlinks, structure of the World Wide Web and usage patterns.

Webometrics Ranking of World Universities <=SEP=> The Webometrics Ranking of World Universities, also known as Ranking Web of Universities, is a ranking system for the world's universities based on a composite indicator that takes into account both the volume of the Web contents (number of web pages and files) and the visibility and impact of these web publications according to the number of external inlinks (site citations) they received.

Yebol <=SEP=> Yebol was a vertical "decision" search engine that had developed a knowledge-based, semantic search platform. Based in San Jose, CA, Yebol's artificial intelligence human intelligence-infused algorithms automatically cluster and categorize search results, web sites, pages and contents that it presents in a visually indexed format that is more aligned with initial human intent. Yebol used association, ranking and clustering algorithms to analyze related keywords or web pages.