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Information Retrieval Systems (IRS) use phrases to retrieve, organize, describe and index documents. The phrases identified, normally predict the presence of other phrases in those documents. Documents are then indexed, in accordance to the existing phrases. The index is partitioned into multiple ones, including a primary index and secondary. The primary one stores phrases with relevant rank ordered documents. The secondary one stores excess documents in document order. Business - Directory of business/finance/loan/mortgage related partner sites Computers - Directory of computer hardware/software/peripheral related partner sites Internet - Directory of webhosting/webdesign/internet marketing related partner sites Software - Directory of software related partner sites Web Design - Directory of web design/development related partner sites Web Hosting - Directory of web hosting related partner sites Web Promotion - Directory of search engine optimization/internet marketing related partner sites Web Resources - Directory of other web related partner sites Recreation - Directory of travel/hotel/cruise related partner sites Casino - Directory of online gambling/poker/blackjack/roulette related partner sites Health - Directory of online pharmacy/hospital/health related partner sites Shopping - Directory of online shopping/gift related partner sites Miscellaneous - Directory of all other partner sites One application of this concept is meaning-based search. This allows web users to locate information that is close in meaning to concepts being searched. Searching is done by determining a semantic distance between the first and second meaning differentiator, since this distance represents their closeness in meaning. Results for search queries are presented where the target data elements closest in meaning, based on their determined semantic distance, are ranked higher.
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