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It is important for Web crawlers to identify themselves so that Web site administrators can contact the owner if needed. In some cases, crawlers may be accidentally trapped in a crawler trap or they may be overloading a Web server with requests, and the owner needs to stop the crawler. Identification is also useful for administrators that are interested in knowing when they may expect their Web pages to be indexed by a particular search engine.

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• Have a useful 404 page - Users will occasionally come to a page that doesn't exist on your
site, either by following a broken link or typing in the wrong URL. Having a custom 404 page
that kindly guides users back to a working page on your site can greatly improve a user's
experience. Your 404 page should probably have a link back to your root page and could
also provide links to popular or related content on your site. Google provides a 404 widget
that you can embed in your 404 page to automatically populate it with many useful features.
You can also use Google Webmaster Tools to find the sources of URLs causing "not found"
errors.
Avoid:
• allowing your 404 pages to be indexed in search engines (make sure that your
webserver is configured to give a 404 HTTP status code when non-existent
pages are requested)
• providing only a vague message like "Not found", "404", or no 404 page at all
• using a design for your 404 pages that isn't consistent with the rest of your site

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A cognitive view of reputation

Until very recently, the cognitive nature of reputation was substantially ignored. This has caused a misunderstanding of the effective role of reputation in a number of real-life domains and the related scientific fields. In the study of cooperation and social dilemmas, the role of reputation as a partner selection mechanism started to be appreciated in the early 1980s.

An interdisciplinary integrated approach to reputation, accounting for both evolutionary grounds and cognitive mechanisms and processes, is still missing. Only such an integrated approach can point to guidelines for managing reputation and for designing technologies of reputation.

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Even though this guide's title contains the words "search engine", we'd like to say that you should
base your optimization decisions first and foremost on what's best for the visitors of your site. They're
the main consumers of your content and are using search engines to find your work. Focusing too
hard on specific tweaks to gain ranking in the organic results of search engines may not deliver the
desired results. Search engine optimization is about putting your site's best foot forward when it
comes to visibility in search engines.
An example may help our explanations, so we've created a fictitious website to follow throughout the
guide. For each topic, we've fleshed out enough information about the site to illustrate the point being
covered. Here's some background information about the site we'll use:
• Website/business name: "Brandon's Baseball Cards"
• Domain name: brandonsbaseballcards.com
• Focus: Online-only baseball card sales, price guides, articles, and news content
• Size: Small, ~250 pages
Your site may be smaller or larger than this and offer vastly different content, but the optimization
topics we discussed below should apply to sites of all sizes and types.
We hope our guide gives you some fresh ideas on how to improve your website, and we'd love to
hear your questions, feedback, and success stories in the Google Webmaster Help Forum.
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During tokenization, the parser identifies sequences of characters which represent words and other elements, such as punctuation, which are represented by numeric codes, some of which are non-printing control characters. The parser can also identify entities such as email addresses, phone numbers, and URLs. When identifying each token, several characteristics may be stored, such as the token's case (upper, lower, mixed, proper), language or encoding, lexical category (part of speech, like 'noun' or 'verb'), position, sentence number, sentence position, length, and line number.
Language Recognition

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Language Ambiguity
To assist with properly ranking matching documents, many search engines collect additional information about each word, such as its language or lexical category (part of speech). These techniques are language-dependent, as the syntax varies among languages. Documents do not always clearly identify the language of the document or represent it accurately. In tokenizing the document, some search engines attempt to automatically identify the language of the document.

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