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Google: Supplemental goes mainstream

When Google originally introduced Supplemental Results in 2003, our main web index had billions of web pages. The supplemental index made it possible to index even more web pages and, just like our main web index, make this content available when generating relevant search results for user queries. This was especially useful for queries that did not return many results from the main web index, and for these the supplemental index allowed us to query even more web pages. The fewer constraints we're able to place on sites we crawl for the supplemental index means that web pages that are not in the main web index could be included in the supplemental. These are often pages with lower PageRank or those with more complex URLs. Thus the supplemental index serves a very important purpose: to index as much of the relevant content that we crawl as possible.

The changes we make must focus on improving the search experience for our users. Since 2006, we've completely overhauled the system that crawls and indexes supplemental results. The current system provides deeper and more continuous indexing. Additionally, we are indexing URLs with more parameters and are continuing to place fewer restrictions on the sites we crawl. As a result, Supplemental Results are fresher and more comprehensive than ever. We're also working towards showing more Supplemental Results by ensuring that every query is able to search the supplemental index, and expect to roll this out over the course of the summer.

The distinction between the main and the supplemental index is therefore continuing to narrow. Given all the progress that we've been able to make so far, and thinking ahead to future improvements, we've decided to stop labeling these URLs as "Supplemental Results." Of course, you will continue to benefit from Google's supplemental index being deeper and fresher.

Source: Official Google Webmaster Blog


How Google might filter annoying pages

Google recently filed a patent application with the title "Detecting and rejecting annoying documents". Here's the abstract of the application:

"A system and method for evaluating documents for approval or rejection and/or rating.

The method comprises comparing the document to one or more criteria determining whether the document contains an element that is substantially identical to one or more of a visual element, an audio element or a textual element that is determined to be displeasing."

The document describes how Google might analyze text and audio files. For example, Google might use optical character recognition tools and pattern matching against image and sound databases.

Why did Google do this?

Google probably wants to make their ad reviewing process faster. Their AdWords system accepts images ads, video ads and text ads. Google has ad design guidelines and Google has to review all of these ads before they can be displayed in the AdWords network. Manually reviewing these ads would take a lot of time. Given the high number of ads that Google displays, it might be impossible to review them all.

What are they looking for? Does this affect normal website rankings?

Google wants to avoid that ads are annoying or offensive. For example, they check if an ad is flashing, has repetitive movement or infinite loops. The use of streaming video and audio is also checked as well as the quality of the images.

Google also checks the content of the ads (offensive language, adult content) and many associated factors.

While it seems that these methods are currently used for ads the same criteria can also apply to normal web pages. If an ad annoys its viewers then it's likely that a web page with the same elements will annoy its visitors. For that reason, Google might also use these quality checks for the normal search results.

What does this mean to your website?

If your website contains many flashy elements, you might want to redesign it. Professional website design might be an important factor for high search engine rankings in the near future. While professional design is important, it is also important that search engines can parse the content of your web pages.

Source: Axandra's Newsletter


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