Reputation Repair Info

NOTE: I have updated the page after discovering that I had done the
multiple image test with Opera 8 on Linux set to 'ID as Opera' (not the
default setting). This is important because Google uses the wrong HTTP
header to check if the browser can handle a gzip compressed page, which
Opera can. Instead of checking the Accept-Encoding header, which
correctly says this, they check the User-Agent, and only use gzip if
the browser claims to be Mozilla or MSIE (other browsers like Safari
and Konqueror are also included in this). Setting Opera to use 'ID as
MSIE' (default setting) or 'ID as Mozilla 5.0' makes Google send it the
compressed version as well. This makes a huge difference, from Opera
appearing to be almost the slowest at 2.50 seconds, to being clearly
the fastest at 1.82 seconds.

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.

About Removenegativelink.com : * 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.

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Web crawler architectures

High-level architecture of a standard Web crawler

A crawler must not only have a good crawling strategy, as noted in
the previous sections, but it should also have a highly optimized
architecture.

Shkapenyuk and Suel noted that: "While it is fairly easy to build a
slow crawler that downloads a few pages per second for a short period
of time, building a high-performance system that can download hundreds
of millions of pages over several weeks presents a number of challenges
in system design, I/O and network efficiency, and robustness and
manageability."

Web crawlers are a central part of search engines, and details on
their algorithms and architecture are kept as business secrets. When
crawler designs are published, there is often an important lack of
detail that prevents others from reproducing the work. There are also
emerging concerns about "search engine spamming", which prevent major
search engines from publishing their ranking algorithms.

Search engine optimization means ensuring that your Web pages
are accessible to search engines and are focused in ways that help
improve the chances they will be found.

Search Engine Watch Members have access to in-depth information and get extra benefits.

Learn more about becoming a Member.

Removenegativelink.com :Given
this scenario, an uncompressed index (assuming a non-conflated, simple,
index) for 2 billion web pages would need to store 500 billion word
entries. At 1 byte per character, or 5 bytes per word, this would
require 2500 gigabytes of storage space alone, more than the average
free disk space of 25 personal computers. This space requirement may be
even larger for a fault-tolerant distributed storage architecture.
Depending on the compression technique chosen, the index can be reduced
to a fraction of this size. The tradeoff is the time and processing
power required to perform compression and decompression.

Reputation Repair
Citation index

Stores citations or hyperlinks between documents to support citation analysis, a subject of Bibliometrics.

Ngram index

Stores sequences of length of data to support other types of retrieval or text mining.

Document-term matrix

Used in latent semantic analysis, stores the occurrences of words in documents in a two-dimensional sparse matrix.

Challenges in Parallelism

Removenegativelink.com Repair
Web crawler architectures

High-level architecture of a standard Web crawler

A crawler must not only have a good crawling strategy, as noted in
the previous sections, but it should also have a highly optimized
architecture.

Shkapenyuk and Suel noted that: "While it is fairly easy to build a
slow crawler that downloads a few pages per second for a short period
of time, building a high-performance system that can download hundreds
of millions of pages over several weeks presents a number of challenges
in system design, I/O and network efficiency, and robustness and
manageability."

Web crawlers are a central part of search engines, and details on
their algorithms and architecture are kept as business secrets. When
crawler designs are published, there is often an important lack of
detail that prevents others from reproducing the work. There are also
emerging concerns about "search engine spamming", which prevent major
search engines from publishing their ranking algorithms.

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