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Google Search Quality Adjustment Review for January

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Google announced last week on the [URL=""]Google Blog[/URL] the Search Quality changes that were made during January. They started this monthly series last year to keep webmasters and internet marketers up to date on the latest changes to search, the algorithm, and other Google functions.

In January they list over 14 changes that were made to improve search quality. Here are some hightlights for internet marketers:

[LIST][*][B]Fresher results.[/B] [launch codename “nftc”] We made several adjustments to the [URL=""]freshness algorithm[/URL] that we released in November. These are minor updates to make sure we continue to give you the freshest, most relevant results.[*][B]Autocomplete spelling corrections.[/B] [launch codename “Trivial”, project codename “Suggest”] This is an improvement to the spelling corrections used in autocomplete, making those corrections more consistent with the spelling corrections used in search. This launch targets corrections where the spelling change is very small.[*][B]Better spelling full-page replacement. [/B][launch codenames “Oooni”, “sgap”, project codename “Full-Page Replacement”] When we’re confident in a spelling correction we automatically show results for the corrected query and let you know we’re “Showing results for [cheetah]” (rather than, say, “cheettah”). We made a couple of changes to improve the accuracy of this feature.[*][B]Better spelling corrections for rare queries. [/B]This change improves one of the models that we use to make spelling corrections. The result is more accurate spell corrections for a number of rare queries.[*][B]Improve detection of recurrent event pages.[/B] [launch codename “neseda”] We made several improvements to how we determine the date of a document. As a result, you’ll see fresher, more timely results, particularly for pages discussing recurring events.[*][B]High-quality sites algorithm improvements.[/B] [launch codenames “PPtl” and “Stitch”, project codename “Panda”] In 2011, we launched the [URL=""]Panda algorithm change[/URL], targeted at finding more high-quality sites. We improved how Panda interacts with our indexing and ranking systems, making it more integrated into our pipelines. We also released a minor update to refresh the data for Panda.[*][B]Improved image search quality.[/B] [launch codename “endearo”, project codename “Image Search”] This is a small improvement to our image search ranking algorithm. In particular, this change helps images with high-quality landing pages rank higher in our image search results.[*][B]More relevant related searches.[/B] Sometimes at the bottom of the screen you’ll see a section called “Searches related to” with other queries you may want to try. With this change, we’ve updated the model for generating related searches, resulting in more useful query refinements.[*][B]Blending of news results.[/B] [launch codename “final-destination”, project codename “Universal Search”] We improved our algorithm that decides which queries should show news results, making it more responsive to realtime trends. We also made an adjustment to how we blend news results in Universal Search. Both of these changes help news articles appear in your search results when they are relevant.[/LIST]Of course, the change most relevant to Internet marketers is the Panda algorithm change. It seems that rather than drastic changes, it is now going to be more of a constant updating of more seemless algorithm sutble changes. For more on this topic see [URL=""]SEORoundTable[/URL].

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