An Information
filtering system is a system that takes out unwanted or redundant information
from an information stream using (semi)automated or computerized methods
previous to presentation to a human user. Its major goal is the management of
the information overload and increase of the semantic signal-to-noise ratio. To
do this the user’s profile is compared to some reference characteristics. This
distinctiveness may start off from the information item (the content – based
approach) or the user's social environment (the collaborative filtering
approach).
While in
information transmission signal processing filters are employed against
syntax-disrupting noise on the bit-level, the methods used in information
filtering act on the semantic level.
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