Information Retrieval



How to develop an integrated Paid Search and SEO strategy for e-commerce Smart Insights

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When it comes to digital marketing, pay per click (PPC) advertising and search engine optimisation (SEO) are arguably two sides of the same coin. However, all too often companies will focus on one at the expense of the other. At ClickThrough Marketing we provide an integrated digital marketing appr...



Leveraging Machine Learning and AI for Making Your Paid Search Engine Marketing More Effective

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Over the past decade, marketing through search engines i.e. SEM has undergone huge transformation due to the advent of new and intelligent technologies. Gone are the days when search engine marketers could build a site using some specific keywords, create some links, and start ranking within a short period of time. Since then, the web has undergone tremendous change. So, the methods that was once fail-proof has run out of favour now and is no longer viable. Today, machine learning and artificial intelligence have become highly anticipated search engine marketing trends that will continue to dominate 2018 and ahead A clear example of how AI impacts search engine marketing is Google's newly launched Rank Brain algorithm that contributes to search engine results. As a matter of fact, search engines that provide their users with high quality content receive higher revenue for ads. With Google launching "smart" new features such as Smart Display Campaigns, Smart Bidding, and In-Market Audience, it can well be inferred that the future of paid search engine marketing lies in machine learning. Since, paid search marketing is becoming more data-focused i.e. millions of rows spread sheets that eventually get crashed, machine learning can be leveraged to parse through those million-rows excel sheets and derive valuable data-driven insights so as to build predictive models. These predictive models can be used to actively address factors such as peak buying interest, attrition, or other important instants usually observed during customer buying journey. It's even believed that Google's ad algorithm AI has sufficient intelligence to anticipate a customer's search query even before they type it in the search box depending on their browsing history. With machine learning making Paid search all the more effective, marketers are finding it easier to get on top of the SERP. According to a recent report by Aquisio, paid search accounts that are supported by machine learning attain 71 per cent better conversion rates, 7 per cent decrease in cost-per-click and a lower churn rate. These figures indicate that this evolving technology has made paid search all the more worthwhile. However, the scope of machine isn't confined to evolving non-organic traffic but evaluating different characteristics of a website in order to make the algorithm more sophisticated. From search to building customer relationship, machine learning has influenced every facet of marketing. It's time for marketers out there to dare and look into the dragon's eye directly to remain ahead of the game.


SERMLY - Search Engine Reputation Management Tools

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SERMLY is the world's first search engine reputation service that uses blockchain technology. It will constantly analyze the results, keep the data safe, improve the search engine reputation and provide you with the necessary analytical data based on Machine Learning and Big Data.


Singularity 2017 Artificial Intelligence and North Pole Hidden Land CONTENT MARKETING, CYBER SECURITY E COMMERCE, INTERNET PRIVACY, SEARCH ENGINES, SOCIAL MEDIA, TECHNOLOGY

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Info: AI takeover refers to a future scenario in which artificial intelligence A.I becomes the ruling form of intelligence on flat Earth, with robots and computers taking control of the world away from humans. Scenarios include replacement of the whole human workforce, takeover by a superintelligent AI, and the notion of a robot uprising. Some public figures, such as Stephen Hawking and Elon Musk, have advocated research into precautionary measures to ensure future superintelligent machines remain under human control. Robot rebellions have been a major theme throughout science fiction for many decades as predictive programming.


The search engines you'll need for every type of question

Popular Science

Let's go ahead and talk about the elephant in the article: When it comes to general searches, Google crushes the competition. It has an extremely well-trained algorithm and offers the largest index of pages--a search for "Mars planet," for example, brings up 5.7 million Google results as opposed to 99,800 Bing ones. That means this search behemoth is still more likely to turn up an obscure blog post, forum message, or online document than any of its rivals, which makes it ideal for researching computer error messages or specialized scientific topics. On top of its general-interest search chops, Google is great for looking up highly specialized information...about you. Because the search engine ties in with its other services, such as Gmail and Google Photos, it can pull up your personal data while you're signed into your account.


Infographic: 11 Useful SEO Techniques and Strategies

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Are you a business person thriving for budding opportunities for your enterprise? Then you know the importance of having a quality business website with Search Engine Optimization (SEO) strategies in place. It certainly feels awesome, but the fact is: You can't afford to be complacent about it! Unless you have realized the essence of the right SEO strategies, you're missing out on a lot of potential customers. Wondering, what's SEO all about?


Darpa Wants to Build an Image Search Engine out of DNA

WIRED

Most people use Google's search-by-image feature to either look for copyright infringement, or for shopping. See some shoes you like on a frenemy's Instagram? Search will pull up all the matching images on the web, including from sites that will sell you the same pair. In order to do that, Google's computer vision algorithms had to be trained to extract identifying features like colors, textures, and shapes from a vast catalogue of images. Luis Ceze, a computer scientist at the University of Washington, wants to encode that same process directly in DNA, making the molecules themselves carry out that computer vision work.


Lucidworks - Machine Learning for Search Engines - Nanalyze

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Lucidworks has technically raised about $59 million since it was founded about a decade ago in 2007 and last took in $6 million debt financing in 2016. However, Hayes says he hit the reset button when he took the reins in 2014, so the official war chest stands at about $23 million. The shuffle makes Lucidworks a Series D company playing in a Series B ballpark, as it prepares to raise a new round of money. Its Series $21 million Series D raise in 2015 included Allegis Capital, Shasta Ventures and Granite Ventures.