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The Art of SEO: Mastering Search Engine Optimization, 3rd Edition - Programmer Books

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Three acknowledged experts in search engine optimization share guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy. Novices will receive a thorough SEO education, while experienced SEO practitioners get an extensive reference to support ongoing engagements. Comprehend SEO's many intricacies and complexities Explore the underlying theory and inner workings of search engines Understand the role of social media, user data, and links Discover tools to track results and measure success Examine the effects of Google's Panda and Penguin algorithms Consider opportunities in mobile, local, and vertical SEO Build a competent SEO team with defined roles Glimpse the future of search and the SEO industry



Why SEO & Machine Learning Are Joining Forces

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The global datasphere will grow from 33 zettabytes (each equal to a trillion gigabytes) in 2018 to 175 ZB by 2025. In marketing, our role as the stewards of much of this data is growing, as well. As of last year, more data is being stored in the enterprise core than in all the world's existing endpoints, according to a report by IDC. The great challenge for marketers and SEO professionals is activating and using that data. In 2025, each connected person will have at least one data interaction every 18 seconds and nearly 30% of the world's data will need real-time processing.


Content Clustering: 50 Tips for Content Planning with Topic Clustering.

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Have you decided to tune your business into the next level evolution of SEO? There is a buzz around the content cluster on social media platforms and over the internet. SEO content managers and specialists are always struggling to balance the search engine optimization and content quality in the same quantity and quality. Here are the fantastic tips that you need to know content clustering where the content planning with topic clustering works better. The content clustering is the idea that concentrates on a single point of purpose where the creation of cluster related and interlinking the information through hyperlinks.


Let's build a Full-Text Search engine - Artem Krylysov

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Full-Text Search is one of those tools people use every day without realizing it. If you ever googled "golang coverage report" or tried to find "indoor wireless camera" on an e-commerce website, you used some kind of full-text search. Full-Text Search (FTS) is a technique for searching text in a collection of documents. A document can refer to a web page, a newspaper article, an email message, or any structured text. Today we are going to build our own FTS engine.


Digital Creativity Support for Original Journalism

Communications of the ACM

Journalism involves the search for and critical analysis of information.18 How journalists discover and select sources of this information is important to avoid bias, to be credible and trusted, and to create angles with which to generate new stories of value to readers. Journalist creative thinking, to discover and generate new associations during this search and analysis of information, contributes to the generation of new stories. Journalists are known to seek opportunities to develop new creative skills with which to discover information.17 Applying these skills enables journalists to maintain control over their work.25 However, discovering and examining information sources about complex stories takes time--time that journalists increasingly lack as news organizations reduce staff numbers.22 The digitalization of news production and consumption has led many news businesses to become uncompetitive.


Search Engine Marketing (SEM) - TimesPost

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Search Engine Marketing is a digital marketing strategy that helps to improve the visibility of the site in SERP. It is very important to rank in Search Engine Result Pages, and SEM helps us to rank in the list easily. To boost the traffic on the site, we need to implement some effective strategies, and SEM is one of the best marketing tools that helps to steadfast the traffic; it is a cost-effective way to get instant visibility and boost the website. To get an effective business presence on the internet, you need to have massive traffic on your site, and with regular SEO tips, nothing progressive will be achieved. Instead, try on the effective SEM techniques and notice some striking rise in the traffic.


10 Google Patents to Boost Your SEO Effort

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Learning about SEO is a bit of a challenge, isn't it? On the one hand, there is no single body of knowledge and the information has to be collected bit by bit from many different places. On the other hand, the information is often misinterpreted, giving rise to fake ranking factors and far fetched theories. That's why to learn the truth about SEO, it's best to go to the very source -- Google itself. In the past, I have already discussed a few sources of SEO information at Google, namely the SEO Starter Guide and the Quality Raters Guidelines.


DSC Data Science Search Engine

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Data Science Fails – There's No Such Thing as a Free Lunch While this latest DSC podcast isn't about sandwiches, it is related to lunch, specifically the no free lunch theorem. In short, the theorem states that no algorithm can be equally good at learning everything, which means that you can't know in advance which algorithm will work best on your data. Data Science Fails – There's No Such Thing as a Free Lunch While this latest DSC podcast isn't about sandwiches, it is related to lunch, specifically the no free lunch theorem. In short, the theorem states that no algorithm can be equally good at learning everything, which means that you can't know in advance which algorithm will work best on your data.


Managing Data in Massive-Scale Vector Search Engine

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The search based on Raw Data File is brute-force search which compares the distances between query vectors and origin vectors, and computes the nearest k vectors. Search efficiency can be greatly increased if the search is based on Index File where vectors are indexed. Building index requires additional disk space and is usually time-consuming. So what are the differences between Raw Data Files and Index Files? To put it simple, Raw Data File records every single vector together with their unique ID while Index File records vector clustering results such as index type, cluster centroids, and vectors in each cluster.