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Gradient Descent in 2D. Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for finding a local minimum of a differentiable multivariate function . The idea is to take repeated steps in the opposite direction of the gradient (or approximate gradient) of the function at the current ...
Affiliate marketing. Cost per action. Revenue sharing. Mobile advertising. v. t. e. Affiliate marketing is a marketing arrangement in which affiliates receive a commission for each visit, signup or sale they generate for a merchant. This arrangement allows businesses to outsource part of the sales process. [1]
The conference was created by Danny Sullivan, founder and former lead editor of Search Engine Watch. The first [2] SES conference was on November 18, 1999 in San Francisco, California and marked the first [3] [4] formal occasion that site owners had met with search engines. The conference expanded internationally in 2000 when the first SES UK ...
Brand.com was an American online reputation and brand management company based in Philadelphia, Pennsylvania. It was founded as Reputation Changer in 2009. In 2013, it purchased the Brand.com domain name for $500,000, and changed its name.
A search aggregator is a type of metasearch engine which gathers results from multiple search engines simultaneously, typically through RSS search results. It combines user specified search feeds (parameterized RSS feeds which return search results) to give the user the same level of control over content as a general aggregator. [citation needed]
Meta element used in search engine optimization Meta elements provide information about the web page, which can be used by search engines to help categorize the page correctly. They have been the focus of a field of marketing research known as search engine optimization (SEO), where different methods are used to provide a user's website with a ...
In computer science (particularly algorithmics ), a polynomial-time approximation scheme ( PTAS) is a type of approximation algorithm for optimization problems (most often, NP-hard optimization problems). A PTAS is an algorithm which takes an instance of an optimization problem and a parameter ε > 0 and produces a solution that is within a ...
Local search (optimization) In computer science, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems that can be formulated as finding a solution maximizing a criterion among a number of candidate solutions. Local search algorithms move from solution to solution in the ...
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