Algorithms to Achieve High Internet Placement

Internet Search Engines and Directories

There are well over a billion HTML and Java pages on the Internet, many of them connected with an-commerce business. This quantity makes it a challenge for a business to reach and maintain a prime position in one or more search engines, which are still the primary way that most internet users find businesses to deal with. The difficulty is compounded when it is realized that each search engine uses different formulas and priorities for establishing placement.

Also, each search engine "checks out" the competition trying to assure that the top listings in its engine are different than those from other engines. Search engine positioning is both an art and a science. The majority of traffic to a web site is through the major search engines, and the majority of search engine users only look as far as the first three pages of results to search for sites. This makes it important to appear as high as possible in the search engine results (Stokke & Syvertsen, 1996).

Key Elements of Search Engine Ranking

Many website components are weighed to determine a company's scoring. While the formula differs from engine to engine, most factors that influence rankings remain common. Until recently, scoring formulas were applied to individual pages only. To exploit this, some webmasters flooded the search engine databases with thousands of near-identical doorway pages. Featuring very l

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Each of these algorithms are described in more detail below. Exhaustive Search Exhaustive search is the most basic search method. It generates all possible formulas for a given combination of key words and exhaustively times each one to determine the fastest one. This search method is only possible for very small transform sizes, as the number of possible formulas for most hits grows very large as the transform size increases. Dynamic Programming Dynamic programming has been one of the most common approaches to search engines such as Excite and Hot Bot. in this type of engine, dynamic programming builds up a table of the best formulas found for frequency indexes. transforms. Given a query term dynamic programming begins by generating all possible immediate abstractions of that query. It looks up each of these abstractions in its table to determine the best rule tree found for them. If no such rule tree exists in its table, then dynamic programming recursively calls itself on this query, updating its table (Gregory, 2001). Finally, dynamic programming times each of the full rule trees that it has generated to determine the best. Dynamic programming usually times relatively few formulas compared to many of the other search method
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Some common words found in the essay are:
Search Engine, Conversion Ca, Web Presence, TV Broadcasting, Evolutionary Search, Engine Ranking, Scooter InfoSeek, Page Rank, Table Circa, Hot Bot, search engines, search engine,  , dynamic programming, web site, web pages,   , major search, rule tree, exhaustive search, brown 1999, major search engines, c d e, birbeck ozu duckett, ozu duckett mohr,
Approximate Word count = 4594
Approximate Pages = 18 (250 words per page)

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