SEO-Search engine optimization-MACHINE LEARNING


Search engine optimization is the process of increasing the quality and quantity of website traffic by increasing the visibility of a website or a web page to users of a web search engine. SEO refers to the improvement of unpaid results and excludes direct traffic/visitors and the purchase of paid placement

Machine learning helps Google understand what users find useful and enables the search engine to rank websites more effectively. You need to create content that is high-quality, useful, relevant, and meets user intent. If your content engages the audience, you can easily dominate the SERP

Information retrieval in domain specific search engine with machine learning approaches
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As the web continues to grow exponentially, the idea of crawling the entire web on a regular basis becomes less and less feasible, so the need to include information on specific domain, domain-specific search engines was proposed. As more information becomes available on

A Benchmark for Banks Strategy in Online Presence An Innovative Approach Based on Elements of Search Engine Optimization (SEO) and Machine Learning
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This paper aims to offer a new decision tool to assist banks in evaluating their efficiency of Internet presence and in planning the IT investments towards gaining better Internet popularity. The methodology used in this paper goes beyond the simple website interface

An Extreme Machine Learning Model to Validate the Performance of Web Search Engine
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Measuring the Search engine retrieval effectiveness is employed in the small scale using data mining approaches in the past decade. At present, large exploring technique has been employed using unsupervised learning model with sort of small queries and less set of web

Theoretical Fundamentals of Search Engine Optimization Based on Machine Learning .
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The theoretical basis of search engine optimization (SEO) process, metrics of its efficiency and the algorithm of performance were proposed. It is based on the principles of situation control, machine learning , semantic net building, data mining and service oriented

Web page rank estimation in search engine based on SEO parameters using machine learning techniques
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E-Commerce is growing day by day so that most of the requirements of customers can easily be provided through websites. In such conditions, the Web markets to stay on competition needs one of two methods of advertising and increasing site rank in search engine results

A machine learning approach to improve search engine sensitivity and specificity for mass-spectrometry based peptide and protein identification
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Recently, proteomics has been applied to variety research fields and progressed rapidly. Tandem mass spectrometry (MS/MS) is a technology widely adapted in those proteomic studies. In MS/MS-based proteomic studies, a MS/MS spectrum generated from a peptide

A Benchmark for Banks Strategy in Online Presence An Innovative Approach Based on Elements of Search Engine Optimization ( SEO ) and Machine Learning
free download
This paper aims to offer a new decision tool to assist banks in evaluating their efficiency of Internet presence and in planning the IT investments towards gaining better Internet popularity. The methodology used in this paper goes beyond the simple website interface

Web page rank estimation in search engine based on SEO parameters using machine learning techniques
free download
E-Commerce is growing day by day so that most of the requirements of customers can easily be provided through websites. In such conditions, the Web markets to stay on competition needs one of two methods of advertising and increasing site rank in search engine results