The algorithms of search engines like Google & Co. (2/2)

14.09.2015

overview of important Google updates

An overview of important Google updates

After the mobile update at the end of April, Google carried out its Phantom Update in May 2015. Many domains worldwide noticed that changes had been made to the algorithms; they suffered losses, and Google did not divulge any details. They only disclosed that the update was not connected to the mobile update. Small and medium sized pages were affected – usually editorial pages or advice pages. They had to tolerate a safety loss between 20 and 40 percent whereas brand pages as well as consulting or category references achieved an increase of up to 30 percent. The reason why some domains gained and others lost is open to speculation: insiders suspect that Google rewards pages that offer real added value and unique content.

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The algorithms of search engines like Google & Co. (1/2)

07.09.2015

algorithms of search engines

In maths, an algorithm is – in simple words – a solution scheme. Search engines including Google & Co. also use algorithms. Users enter a question and obtain a result a few seconds later. To display useful and appropriate results, the search engine must work out a “solution” (result) for the “problem” (question); this is where algorithms come into use. How they establish the order and relevance of the results depends on the rating criteria set by the respective search engine operator.

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Relevant web content increases the number of customers and visitors

31.08.2015

Web Content

Search engines such as Google, increasingly go for target group specific content. Google users should receive a result that is individually tailored to their search inquiry. Google is increasingly relying on the direct delivery of matching keywords and information that are directly displayed to the Google user in the search result.

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Optimization of search engine results – Case Study

27.08.2015

Search Relevance

Reliable test data is essential for modern, self-learning systems. Self-learning systems need them in order to be trained on human behavior patterns and the desired behavior of algorithms. A few examples of the applications are:
robots, autonomic driving systems, language recognition and search engines.

What decision would a human being make, how would they react, where would they expect what, and in what kind of categories do they think?
If you need valid information just ask the crowd. In this instance, crowdsourcing in connection with a full project realization service is an ideal tool to quickly obtain valid data.

Case study – Optimization of search engine results

We would like to present a few practical examples of how our “categorization” service can be used to make search engines within websites “smarter”, and thus improve the relevance of the search results.

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Relevance of product categorization and tagging for online shops

10.08.2015

product categorization and product tagging

To successfully operate an online shop you have to observe certain things. Among others, the shop and the content need to be updated at regulars intervals. This includes product descriptions as well as pictures of the products. However, many operators forget to categorize and tag their products.

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