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Insight gives the creators an inside look into the viewing trends of their videos on YouTube, and helps them to increase views and become more popular. Partners can evaluate metrics to better serve and understand their audiences, as well as increase ad revenue. And advertisers can study their metrics and successes to tailor their marketing -- both on and off the site -- and reach the right viewers. As a result, Insight turns YouTube into one of the world's largest focus groups.

There's more about this on the YouTube blog.



Our mission concerning the world's information is well known. Naturally, your access to your information is also important to us. When you save a document, you need to be sure that the information in it will be accessible tomorrow, a month from now, ten years from now. How and where you choose to access your documents shouldn't make a difference. This is what Document Freedom Day is about.

Five years ago, who would have thought that we'd be accessing the documents we created then on our cell phones? And yet today we expect this. The standard by which your document is formatted today absolutely needs to be readable and available to those who design the technology for tomorrow. This is the only way that you will know for sure that the information you entrust to your documents now will be yours for as long as you want it to be.

So wherever you are, join the fun and support your freedom to access your information. Find out more and help to spread the word: Document freedom means freedom of information for all of us, now, later and long, long into the future.

We use similar techniques in all languages. For example, if a Catalan user searches for resultat elecció barris BCN (searching for the result of a neighborhood election in Barcelona), Google will also find pages that use the words "resultats" or "eleccions" or that talk about "Barcelona" instead of "BCN." And our language models also tell us that the Estonian user looking for Tartu juuksur, a barber in Tartu, might also be interested in a "juuksurisalong," or "barber shop."

In the past, language models were built from dictionaries by hand. But such systems are incomplete and don't reflect how people actually use language. Because our language models are based on users' interactions with Google, they are more precise and comprehensive -- for example, they incorporate names, idioms, colloquial usage, and newly coined words not often found in dictionaries.

When building our models, we use billions of web documents and as much historical search data as we can, in order to have the most comprehensive understanding of language possible. We analyze how our users searched and how they revised their searches. By looking across the aggregated searches of many users, we can infer the relationships of words to each other.

Queries are not made in isolation -- analyzing a single search in the context of the searches before and after it helps us understand a searcher's intent and make inferences. Also, by analyzing how users modify their searches, we've learned related words, variant grammatical forms, spelling corrections, and the concepts behind users' information needs. (We're able to make these connections between searches using cookie IDs -- small pieces of data stored in visitors' browsers that allow us to distinguish different users. To understand how cookies work, watch this video.)

To provide more relevant search results, Google is constantly developing new techniques for language modeling and building better models. One element in building better language models is using more data collected over longer periods of time. In languages with many documents and users, such as English, our language models allow us to improve results deep into the "long tail" of searches, learning about rare usages. However, for languages with fewer users and fewer documents on the web, building language models can be a challenge. For those languages we need to work with longer periods of data to build our models. For example, it takes more than a year of searches in Catalan to provide a comparable amount of data as a single day of searching in English; for Estonian, more than two and a half years worth of searching is needed to match a day of English. Having longer periods of data enables us to improve search for these less commonly used languages.

At Google, we want to ensure that we can help users everywhere find the things they're looking for; providing accurate, relevant results for searches in all languages worldwide is core to Google's mission. Building extensive models of historical usage in every language we can, especially when there are few users, is an essential piece of making search work for everyone, everywhere.


Not a few Googlers are who they are today because his work has been a source of inspiration and aspiration. We take a tiny bit of pride in the fact that Google is a "sufficiently advanced technology" that will make it easy for millions of people to find him.

Perhaps the most fitting summary of his life, paraphrasing the famous Vulcan greeting, is that he lived long and prospered! May his views continue to inspire for eons.


We borrowed the Gadgets-in-Docs concept from the iGoogle team, so it's only fitting that you can also publish your spreadsheet gadgets to iGoogle, where you can see your data-based-Gadget right next to all that other stuff that's important to you (even if it is just a picture of your dog).

To try it out, go into Google Docs and open up a spreadsheet. Click on the chart icon, and click 'Gadget...'. Pick your gadget, customize it to fit your data, and then publish it out to iGoogle or to any webpage.

If you're a developer and want to reach millions of people with your latest creation, check out the Google Visualization API, courtesy of our visualization team engineers. The Visualization API provides a platform that can be used to create, share and reuse visualizations written by the developer community. It provides a common way (an API) to access structured data sources, the first being Google spreadsheets.


If there's something you'd like to see in Google Apps, let us know. Feedback like yours shapes its future development.
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The creature creator is core to the Spore game experience, and seamlessly integrates with YouTube. It will be released within the commercial game and as a standalone free download for PCs prior to the game’s launch. We anticipate that millions of creatures will be created, many of which will be cropping up on YouTube.



Spore’s integration with YouTube was made possible using the latest release of the YouTube Data API, which is now publicly available and open to all developers. Here's a glimpse of what you can create:
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Through experimentation, we found that presenting users with a search box as part of the result increases their likelihood of finding the exact page they are looking for. So over the past few days we have been testing, and today we have fully rolled out, a search box that appears within some of the search results themselves. This feature will now occur when we detect a high probability that a user wants more refined search results within a specific site. Like the rest of our snippets, the sites that display the site search box are chosen algorithmically based on metrics that measure how useful the search box is to users.

We hope that you will make use of the site search box in order to get the information you're looking for as quickly and easily as possible.
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