LYCOS RETRIEVER 
Vector Space: Documents
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Vector-space queries return documents that match a list of words and phrases. Documents returned by vector-space queries do not necessarily match every term in the query. The rank of each document indicates how well the document matched the query.
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Vector-space clustering, exemplified by packages such as SMART, represents each chunk of text as a point in a multidimensional space. Each word in the chunk is weighted by its "informativeness", so that words which help to differentiate one chunk from another (e.g., relatively rare words) count proportionately more than very common words (which are in most documents).
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Vector-space queries return documents that match a list of words and phrases. The rank of each document indicates how well the document matches the query. To specify a vector-space query, use the following syntax.
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