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Post Positive Reviews

The rationale behind developing a forward index is that as documents are parsing, it is better to immediately store the words per document. The delineation enables Asynchronous system processing, which partially circumvents the inverted index update bottleneck. The forward index is sorted to transform it to an inverted index. The forward index is essentially a list of pairs consisting of a document and a word, collated by the document. Converting the forward index to an inverted index is only a matter of sorting the pairs by the words. In this regard, the inverted index is a word-sorted forward index.
Compression

Generating or maintaining a large-scale search engine index represents a significant storage and processing challenge. Many search engines utilize a form of compression to reduce the size of the indices on disk. Consider the following scenario for a full text, Internet search engine.

* An estimated 2,000,000,000 different web pages exist as of the year 2000
* Suppose there are 250 words on each webpage (based on the assumption they are similar to the pages of a novel.
* It takes 8 bits (or 1 byte) to store a single character. Some encodings use 2 bytes per character
* The average number of characters in any given word on a page may be estimated at 5 (Wikipedia:Size comparisons)
* The average personal computer comes with 100 to 250 gigabytes of usable space

* HTML
* ASCII text files (a text document without specific computer readable formatting)
* Adobe's Portable Document Format (PDF)
* PostScript (PS)
* LaTex
* UseNet netnews server formats
* XML and derivatives like RSS
* SGML
* Multimedia meta data formats like ID3
* Microsoft Word
* Microsoft Excel
* Microsoft Powerpoint
* IBM Lotus Notes

Options for dealing with various formats include using a publicly available commercial parsing tool that is offered by the organization which developed, maintains, or owns the format, and writing a custom parser.

Make Positive Reviews :Make use of free webmaster tools
Major search engines, including Google, provide free tools for webmasters. Google's Webmaster
Tools help webmasters better control how Google interacts with their websites and get useful
information from Google about their site. Using Webmaster Tools won't help your site get preferential
treatment; however, it can help you identify issues that, if addressed, can help your site perform better
in search results. With the service, webmasters can:
• see which parts of a site Googlebot had problems crawling
• upload an XML Sitemap file
• analyze and generate robots.txt files
• remove URLs already crawled by Googlebot
• specify the preferred domain
• identify issues with title and description meta tags
• understand the top searches used to reach a site
• get a glimpse at how Googlebot sees pages
• remove unwanted sitelinks that Google may use in results
• receive notification of quality guideline violations and file for a site reconsideration

Posting Positive Revieews

Page and Brin founded Google in 1998. Google attracted a loyal following among the growing number of Internet users, who liked its simple design. Off-page factors (such as PageRank and hyperlink analysis) were considered as well as on-page factors (such as keyword frequency, meta tags, headings, links and site structure) to enable Google to avoid the kind of manipulation seen in search engines that only considered on-page factors for their rankings. Although PageRank was more difficult to game, webmasters had already developed link building tools and schemes to influence the Inktomi search engine, and these methods proved similarly applicable to gaming PageRank. Many sites focused on exchanging, buying, and selling links, often on a massive scale. Some of these schemes, or link farms, involved the creation of thousands of sites for the sole purpose of link spamming.

Roughly speaking, the advice could fall under one of the following three categories:

1. the adviser declares it believes the potential partner is (is not) good for the transaction in object;
2. the adviser declares it believes another (named or otherwise defined) agent or set of agents believes the potential partner is (is not) good for the transaction in object;
3. the adviser declares it believes in an undefined set of agents, there is a belief the potential partner is (is not) good for the transaction in object;

Note the care to maintain the possible levels of truth (the adviser declares - but could be lying - it believes - but could be wrong - etc..). The cases are listed, as it is evident, in decreasing order of responsibility. While one could feel most actual examples fall under the first case, the other two are not unnecessarily complicated neither actually infrequent. Indeed, most of the common gossip falls under the third category, and, except for electronic interaction, this is the most frequent form of referral. All examples concern the evaluation of a given object (target), a social agent (which may be either individual or supraindividual, and in the latter case, either a group or a collective), held by another social agent, the evaluator.

Creating Positive Reviews :Social networking giant Facebook has been known to practice this form of reputation management. When they released their Polls service in Spring 2007, the popular blog TechCrunch found that it could not use competitors' names in Polls. Due largely to TechCrunch's authority in Google's algorithms, its post ranked for Facebook polls. A Facebook rep joined the comments, explained the situation and that the bugs in the old code had been updated so that it was now possible.

Also until social sites like facebook allow google to fully spider their site then they wont really have a massive effect on reputation management results in the search engine. The only way to take advantage of such site is to make sure you make your pages public.

Posting Positive Revieews A Web crawler is one type of bot, or software agent. In general, it starts with a list of URLs to visit, called the seeds. As the crawler visits these URLs, it identifies all the hyperlinks in the page and adds them to the list of URLs to visit, called the crawl frontier. URLs from the frontier are recursively visited according to a set of policies.

Crawling policies

There are important characteristics of the Web that make crawling very difficult:

* its large volume,
* its fast rate of change, and
* dynamic page generation.

These characteristics combine to produce a wide variety of possible crawlable URLs.

Creating Positive Reviews Page and Brin founded Google in 1998. Google attracted a loyal following among the growing number of Internet users, who liked its simple design. Off-page factors (such as PageRank and hyperlink analysis) were considered as well as on-page factors (such as keyword frequency, meta tags, headings, links and site structure) to enable Google to avoid the kind of manipulation seen in search engines that only considered on-page factors for their rankings. Although PageRank was more difficult to game, webmasters had already developed link building tools and schemes to influence the Inktomi search engine, and these methods proved similarly applicable to gaming PageRank. Many sites focused on exchanging, buying, and selling links, often on a massive scale. Some of these schemes, or link farms, involved the creation of thousands of sites for the sole purpose of link spamming.

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