Saturday, April 25, 2009

The Basics of Internet Home Business Success

The Basics of Internet Home Business Success

Phase One

Without Paying Customers, there is no Cash Flow aka Profit !

You need motivated Buying Customers, not Clicks from random passers by who do not want your wares or services.

For Our websites to prosper you and I first need to understand the World Wide Web and how it works.

You should first understand the Nomenclature (

–noun

1. a set or system of names or terms, as those used in a particular science or art, by an individual or community, etc.

2. the names or terms comprising a set or system.

Origin:
1600–10; <>

nomenclator
, -ure

),

a term I first heard while in the Military.

-----------------------------------------------------------------------------------

The Internet- –noun

a vast computer network linking smaller computer networks worldwide (usually prec. by the). The Internet includes commercial, educational, governmental, and other networks, all of which use the same set of communications protocols.

----------------------------------------------------------------------------------

The World Wide Web- –noun

Is a system of extensively interlinked hypertext documents: a branch of the Internet. Abbreviation: WWW

----------------------------------------------------------------------------------

Web Site- –noun

In computers- a connected group of pages on the World Wide Web regarded as a single entity, usually maintained by one person or organization and devoted to a single topic or several closely related topics.

---------------------------------------------------------------------------------

Search Engine- –noun

a computer program that searches documents, esp. on the World Wide Web, for a specified word or words and provides a list of documents in which they are found.

( example: Google Search, etc..........)

A software program that searches a database and gathers and reports information that contains or is related to specified terms.

A website whose primary function is providing a search engine for gathering and reporting information available on the Internet or a portion of the Internet.

Web sites or software that search the Internet for documents that contain a key word, phrase, or subject

that is specified by the user ( potential Customer ) to the search engine. Each engine has its own method of searching for information ( YOUR SITE ! ).

A remotely accessible program that lets you do

keyword searches for information on the Internet. There are several types of search engine; the search may cover titles of documents, URLs, headers, or the full text

.

-----------------------------------------------------------------------------------

Uniform Resource Locator (URL)- noun

In

computing, a Uniform Resource Locator (URL) is a type of Uniform Resource Identifier (URI) that specifies where an identified resource is available and the mechanism for retrieving it.[1] In popular usage and in many technical documents and verbal discussions it is often, imprecisely and confusingly, used as a synonym for uniform resource identifier. The confusion in usage stems from historically different interpretations of the semantics of the terms involved.[2]

In popular language, a URL is also referred to as a Web address.

---------------------------------------------------------------------------------

Full Text-

In

text retrieval, full text search refers to a technique for searching a computer-stored document or database. In a full text search, the search engine examines all of the words in every stored document as it tries to match search words supplied by the user. Full-text searching techniques became common in online bibliographic databases in the 1970s[verification needed]. Most Web sites and application programs (such as word processing software) provide full text search capabilities. Some Web search engines, such as AltaVista employ full text search techniques, while others index only a portion of the Web pages examined by its indexing system.[1]

--------------------------------------------------------------------------------

Indexing-

When dealing with a small number of documents it is possible for the full-text search engine to directly scan the contents of the documents with each

query
, a strategy called serial scanning. This is what some rudimentary tools, such as grep

, do when searching.

However, when the number of documents to search is potentially large or the quantity of search queries to perform is substantial the problem of full text search is often divided into two tasks: indexing and searching. The indexing stage will scan the text of all the documents and build a list of search terms, often called an

index, but more correctly named a concordance

. In the search stage, when performing a specific query, only the index is referenced rather than the text of the original documents.

The indexer will make an entry in the index for each term or word found in a document and possibly its relative position within the document. Usually the indexer will ignore

stop words, such as the English "the", which are both too common and carry too little meaning to be useful for searching. Some indexers also employ language-specific stemming

on the words being indexed, so for example any of the words "drives", "drove", or "driven" will be recorded in the index under a single concept word "drive".

-------------------------------------------------------------------------------------

The precision vs. recall tradeoff-

Due to the ambiguities of

natural language, a full text search typically produces a retrieval list that has low precision: most of the items retrieved are irrelevant. Controlled-vocabulary searching solves this problem by tagging

the documents in such a way that the ambiguities are eliminated. However, a controlled vocabulary search may have low recall: it may fail to retrieve some documents that are actually relevant to the search question. Despite the presence of many irrelevant documents in a free text search's retrieval list, a free text search may be able to locate a document that a controlled vocabulary search failed to retrieve.

-------------------------------------------------------------------------------------

The false positive problem-

Free text searching is likely to retrieve many documents that are not

relevant to the intended search question. Such documents are called false positives. The retrieval of irrelevant documents is often caused by the inherent ambiguity of natural language

.

Certain clustering techniques based on

Bayesian algorithms (similar to spam filter in gmail[citation needed

]) can help reduce the false positive errors. So if the search term is "football", these techniques can categorize the document/data universe into say "American football", "corporate football" etc. Depending on the occurrences of words in a document, it can fall into one of the categories or more. These techniques are being extensively deployed in the e-discovery domain.

------------------------------------------------------------------------------------

Improving the performance of full text searching-

The deficiencies of free text searching have been addressed in two ways: By providing users with tools that enable them to express their search questions more precisely, and by developing new search algorithms that improve retrieval precision.

-----------------------------------------------------------------------------------

Improved querying tools-

Keywords

. Document creators (or trained indexers) are asked to supply a list of words that describe the subject of the text, including synonyms of words that describe this subject. Keywords improve recall, particularly if the keyword list includes a search word that is not in the document text.

Field-restricted search. Some search engines enable users to limit free text searches to a particular field within a stored data record

, such as "Title" or "Author."

Boolean queries. Searches that use Boolean operators (for example, "encyclopedia" AND "online" NOT "Encarta") can dramatically increase the precision of a free text search. The AND operator says, in effect, "Do not retrieve any document unless it contains both of these terms." The NOT operator says, in effect, "Do not retrieve any document that contains this word." If the retrieval list retrieves too few documents, the OR operator can be used to increase recall; consider, for example, "encyclopedia" AND "online" OR "Internet" NOT "Encarta". This search will retrieve documents about online encyclopedias that use the term "Internet" instead of "online." This increase in precision is very commonly counter-productive since it usually comes with a dramatic loss of recall. [2]

Phrase search

. A phrase search matches only those documents that contain a specified phrase, such as "Wikipedia, the free encyclopedia."

Concordance search. A concordance search produces an alphabetical list of all principal words that occur in a text

with their immediate context.

Proximity search

. A phrase search matches only those documents that contain two or more words that are separated by a specified number of words; a search for "Wikipedia" WITHIN2 "free" would retrieve only those documents in which the words "Wikipedia" and "free" occur within two words of each other.

Regular expression. A regular expression employs a complex but powerful querying syntax

that can be used to specify retrieval conditions with precision.

Wildcard search. A search that substitutes one or more characters in a search query for a wildcard character such as an asterisk. For example, in the search function in Microsoft Word

, using the asterisk in the search query "s*n" will find "sin", "son", "sun", etc. in a text.

-----------------------------------------------------------------------------------

Improved search algorithms-

Technological advances have greatly improved the performance of free text searching. For example, Google's

PageRank algorithm gives more prominence to documents to which other Web pages have linked. This algorithm dramatically improves users' perception of search precision, a fact that explains its popularity among Internet users. See search engine

for additional examples.

-------------------------------------------------------------------------------------

Text retrieval software-

The following is a partial list of available software products whose predominant purpose is to perform full text indexing and searching. Some of these are accompanied with detailed descriptions of their theory of operation or internal algorithms, which can provide additional insight into how full text search may be accomplished.

Attivio

Autonomy Corporation

Brainware

Dieselpoint

Endeca

Fast Search & Transfer

ht://Dig

Inktomi

Lemur/Indri

Lucene

Ferret

Minion

mnoGoSearch

Sphinx

Swish-e

VivĂ­simo

Xapian

--------------------------------------------------------------------------------------

Notes-

1. In practice, it may be difficult to determine how a given search engine works. The

search algorithms actually employed by Web search services are seldom fully disclosed out of fear that Web entrepreneurs will use search engine optimization

techniques to improve their prominence in retrieval lists.

2. Studies have repeatedly shown that most users do not understand the negative impacts of boolean queries.

[1]

See also:

Controlled vocabulary

Information retrieval

Search engine

Search engine indexing

- how search engines generate indices to support full text searching

Subject Indexing

Retrieved from "http://en.wikipedia.org/wiki/Full_text_search"

------------------------------------------------------------------------------------

Keyword- noun

1. a word that serves as a key, as to the meaning of another word, a sentence, passage, or the like: Search the database for the keyword "Ireland."

2. a word used to encipher or decipher a cryptogram, as a pattern for a transposition procedure or the basis for a complex substitution.

3. Also called

catchword.

Library Science. a significant or memorable word or term in the title, abstract, or text of an item being indexed, used as the index entry.

-----------------------------------------------------------------------------------

Ad Word-

PPC program where webmasters can create their own ads and choose keywords. ... Your ad appears beside relevant search results. ... When people search on Google using one of your keywords, your ad may appear next to the search results. Now you're advertising to an audience that's already interested in you.

======================================================

When we as Internet Merchants and Service Providers create a Web Site, it does us NO good for the site to be listed on Page 5000. No One will go there.

People often misspelll words. If you include these Misssplellledd words on your site, when Search Engines search the World Wid Web, if youur misspelled wword is the subject of that search and your's is one of the few SITES with the misspelled word, then you might be on page 1 of that search. Additionally, The person conducting the Search is specifically looking for a site like yours. Try misspelling words and searching for them and see what comes up.

Armed with this knowlege, understand that I have not touuched on everything nessecary to encourage and aid buying customers to your site. This is the beginning..........,

GET A GOOD WEB MASTER INVOLVED !

I am not an Internet Speciallist and depend on these information providers for Technical Assistance. Please visit the Reference Sites Listed below, as they provided the Definitions above.

Thanks to:

http://en.wikipedia.org/

http://www.ask.com/

http://dictionary.reference.com/

for providing these Nomenclature.

Cordially,

www.walterdavidson.com

wizardry@netdoor.com

601-331-1769

http://wwwdotwalterdavidsondotcom.blogspot.com/

http://currentaffairsvoiceyouropinion.blogspot.com/

No comments:

Post a Comment