Incremental adaptive filtering: profile learning and threshold calibration

@inproceedings{Boughanem2002IncrementalAF,
  title={Incremental adaptive filtering: profile learning and threshold calibration},
  author={Mohand Boughanem and Mohamed Tmar},
  booktitle={SAC},
  year={2002}
}
This paper proposes an adaptive filtering process. Adaptive filtering consists on receiving documents over time and compare them to the user profile. Filtering is improved over time by updating the user profile and the dissemination threshold, the profile and the threshold are the principle elements in the filtering decision function. In this paper, a linear system under constraints is resolved when a relevant document is retrieved, the solution to this system is used to improve the user… CONTINUE READING