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Google's rollout of artificial intelligence has many in the search engine optimization (SEO) industry dumbfounded. Optimization tactics that have worked for years are quickly becoming obsolete or changing. And is it possible to find a predictable optimization equation like in the old days? That is to say, when changes came, they came wholesale. Large and abrupt movements, sometimes tectonic, were commonplace in the past.
Example- List of URLS listed for a search query in search engine Experiments are conducted using real web services datasets and the outcome of the experiments using machine learning confirms an improvement over existing methods in Page Ranking. Supervised Learning algorithms are, K-Nearest Neighbour Ranking Static Ranking 8. KNN RANKING Many supervised learning problems are "classification" problems. KNN is one type of many different classification algorithms. The sheer number of both good and bad pages on the Web has led to an increasing reliance on search engines for the discovery of useful information. Users rely on search engines not only to return pages related to their search query, but also to separate the good from the bad, and order results so that the best pages are suggested first.
Much like commercials on TV, users are bombarded with content at every turn as they surf. It's overwhelming and as such, marketers are struggling to find ways to capture their attention and stand out. As marketers, not only do we need to conduct extensive research so we can make great content, we also need our content and web pages to be promoted, discovered and engaged with. To help with all facets of content development, user engagement, or "user signals," should be actively tracked in Google Analytics as part of your content marketing campaign. This is important since it's long been speculated that user experience is a ranking factor.