In the recent barrage of updates we have seen plenty of improvements in Google search results and the way Google presents them. Now with Google knowledge graph[1] and other updates that improved search quality like character handling[2] we are expecting greatness from search results, but is that too much to expect from Google?
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Google goes one step further in attempt to become an intelligent search engine by introducing their knowledge graph results. “Search is a lot about discovery—the basic human need to learn and broaden your horizons.”, Google.
Predictions for 2012
Earlier this year I predicted the three key improvements in Google’s algorithm will be improved spam detection, social graph and knowledge graph.
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Learn about the key elements behind our most successful enterprise SEO campaigns.
Enterprise SEO brings a whole new set of challenges on top of usual set of best optimisation practices and one of the most momentous obstacles with large-scale campaigns is the sheer scale of things.
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Let’s take a look at some of the confirmed ranking factors and find out the reasons behind Google’s social focus.
Part 2 of the Search Quality Series by Dejan SEO
Our first search quality article discusses the link graph theory, co-citation, social graph, knowledge graph and top-level spam detection techniques.
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Review of the first empirical study of Google+ platform in the context of selective sharing.
Real-World Sharing & Social Networks
Sharing information is a crucial part of human interaction and communication, however in the offline world we manage the information we disclose in a natural and effortless way.
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In this article we describe quantitative metric-based link spam detection in a collection of analysed domains. Accuracy and co-relation ranges from 60 to 90 percent with adjustment of different quality parameters. Our technique is still considered to be ‘work in progress’ and may not be fit for accurate automated action.
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Theory behind evaluation of search result quality through algorithmic treatment of the web index. Read on and discover some of the fundamental forces behind search engine rankings.
Part 1 of the Search Quality Series by Dejan SEO
Introduction
There are different types of graphs on the web, useful to search engines in processing and evaluation of relevance and reputation of pages in their index.
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Google is determined to level the playing field, reward good content and punish the cheaters. How will they achieve this?
There is plenty going on at Google at the moment but let’s highlight three key elements relevant to this article, even though they may not be as obvious at first:
Web spam and aggressive SEO tend to have a domino effect due to lack of ‘justice’ and equal treatment of all websites by Google.
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The next stage in Google’s product evolution is undoubtedly unification. Google’s many projects and shatterlings spread over a decade of development in a frantic search for the next big thing are coming back home, empty handed. Now they’re merging into a single universal product, bit by bit every piece of knowledge and experience collected so far is being used and integrated into a bigger, better and faster Google.
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Understanding the way that search engines determine which pages to display in response to a user query can help to enlighten business owners and end users regarding the rankings and page views they receive from these search engines. A recent study conducted by Stanford University in conjunction with Google Inc [1].
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