Distributed Agents to Retrieve Web Intelligence
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Darwin-FIRST Faq

How efficient is FIRST?
FIRST efficiency as a “match making” Expert System should be measured by the ratio between successful matches to total matches. When FIRST is applied to engine a HKM, Human Knowledge Map, the efficiency could be tuned up to be close to the ideal 1, at least for a period of time. In these cases we may talk of getting close to the utopia of GWYW, Getting What You Want in only one click of your mouse. This ideal condition will last until a mismatch occurs.

Another pseudo mismatch condition will arise when users get something closely related to What They Want but with inappropriate quality. In those cases, when supported statistically we should consider those units of cognitive objects as down worsening the match making efficiency. Even though users are not collaborative i-Website owners should consider as a negative sign concerning match making efficiency when i-URL’s are “seen” but not selected their respective URL’s. These conditions are considered by FIRST statistical utilities in order to correct the efficiency estimations.

When FIRST deals with commercial applications, for instance B2B or B2C match making processes, the efficiency measure is more complex. In these cases we should take into consideration intermediates and final efficiencies, analyzing all the instances of the sales cycle. However, via the PAG’s the CE knows how users’ behave concerning the Website offer having then at hands the strategic information the Website owners need to improve their sales efficiency.

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