Rosetta Stone LTD v. Google Inc.

Filing 188

Declaration of Jonathan B. Oblak re 190 Brief in support to 189 Motion in Limine (Omnibus) by Google Inc.. (Attachments: # 1 Exhibit 1, # 2 Exhibit 2, # 3 Exhibit 3, # 4 Exhibit 4, # 5 Exhibit 5 (portions filed under seal), # 6 Exhibit 6, # 7 Exhibit 7 (portions filed under seal), # 8 Exhibit 8 (portions filed under seal), # 9 Exhibit 9 (portions filed under seal), # 10 Exhibit 10 (filed under seal), # 11 Exhibit 11 (filed under seal), # 12 Exhibit 12 (filed under seal), # 13 Exhibit 13 (filed under seal), # 14 Exhibit 14 (filed under seal), # 15 Exhibit 15 (filed under seal), # 16 Exhibit 16 (filed under seal), # 17 Exhibit 17 (filed under seal), # 18 Exhibit 18 (filed under seal), # 19 Exhibit 19 (filed under seal), # 20 Exhibit 20 (filed under seal), # 21 Exhibit 21, # 22 Exhibit 22, # 23 Exhibit 23, # 24 Exhibit 24 (filed under seal), # 25 Exhibit 25 (filed under seal), # 26 Exhibit 26 (filed under seal), # 27 Exhibit 27 (filed under seal), # 28 Exhibit 28 (filed under seal), # 29 Exhibit 29 (filed under seal), # 30 Exhibit 30 (filed under seal), # 31 Exhibit 31 (filed under seal), # 32 Exhibit 32 (filed under seal), # 33 Exhibit 33)(Cobb, Stephen) Modified text on 4/21/2010 (klau, ). Modified on 4/21/2010 (clar, ). (Received UNDER SEAL exhibits on 4/21/10 and placed in vault)

EXHIBIT 21

Corporate Information - Technology Overview

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Technology Overview
We stand alone in our focus on developing the "perfect search engine," defined by co-founder Larry
Page as something that, "understands exactly what you mean and gives you back exactly what you
want." To that end, we have persistently pursued innovation and refused to accept the limitations of
existing models. As a result, we developed our serving infrastructure and breakthrough PageRank™
technology that changed the way searches are conducted.
From the beginning, our developers recognized that providing the fastest, most accurate results required
a new kind of server setup. Whereas most search engines ran off a handful of large servers that often
slowed under peak loads, ours employed linked PCs to quickly find each query's answer. The innovation
paid off in faster response times, greater scalability and lower costs. It's an idea that others have since
copied, while we have continued to refine our back-end technology to make it even more efficient.
The software behind our search technology conducts a series of simultaneous calculations requiring only
a fraction of a second. Traditional search engines rely heavily on how often a word appears on a web
page. We use more than 200 signals, including our patented PageRank™ algorithm, to examine the
entire link structure of the web and determine which pages are most important. We then conduct
hypertext-matching analysis to determine which pages are relevant to the specific search being
conducted. By combining overall importance and query-specific relevance, we're able to put the most
relevant and reliable results first.
PageRank Technology: PageRank reflects our view of the importance of web pages by
considering more than 500 million variables and 2 billion terms. Pages that we believe are
important pages receive a higher PageRank and are more likely to appear at the top of the search
results.
PageRank also considers the importance of each page that casts a vote, as votes from some
pages are considered to have greater value, thus giving the linked page greater value. We have
always taken a pragmatic approach to help improve search quality and create useful products,
and our technology uses the collective intelligence of the web to determine a page's importance.
Hypertext-Matching Analysis: Our search engine also analyzes page content. However,
instead of simply scanning for page-based text (which can be manipulated by site publishers
through meta-tags), our technology analyzes the full content of a page and factors in fonts,
subdivisions and the precise location of each word. We also analyze the content of neighboring
web pages to ensure the results returned are the most relevant to a user's query.
Our innovations don't stop at the desktop. To give people access to the information they need, whenever
and wherever they need it, we continue to develop new mobile applications and services that are more
accessible and customizable. And we're partnering with industry-leading carriers and device
manufacturers to deliver these innovative services globally. We're working with many of these industry
leaders through the Open Handset Alliance to develop Android, the first complete, open, and free mobile
platform, which will offer people a less expensive and better mobile experience.

Life of a Google Query
The life span of a Google query normally lasts less than half a second, yet involves a number of different
steps that must be completed before results can be delivered to a person seeking information.

http://www.google.com/corporate/tech.html

4/17/2010

Corporate Information - Technology Overview

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3. The search results are
returned to the user in a
fraction of a second.

1. The web server sends the query to the index servers. The
content inside the index servers is similar to the index in the back
of a book - it tells which pages contain the words that match the
query.

2.The query travels to the doc servers,
which actually retrieve the stored
documents. Snippets are generated to
describe each search result.

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4/17/2010