Information Filtering System - Future

Future

Currently the problem is not finding the best way to filter information, but the way that these systems require to learn independently the information needs of users. Not only because they automate the process of filtering but also the construction and adaptation of the filter. Some branches based on it, such as statistics, machine learning, pattern recognition and data mining, are the base for developing information filters that appear and adapt in base to experience. To allow the learning process can be carried out, part of the information has to be pre-filtered, it means there are positive and negative examples which we named training data, which can be generated by experts or, via feedback through ordinary users.

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