B. Shapira et al., Experimentation with an information filtering system that combines cognitive and sociological filtering integrated with user stereotypes, DECIS SUP S, 27(1-2), 1999, pp. 5-24
A dual-method model and system for filtering and ranking relevance of infor
mation is presented. One method is cognitive filtering, while the other is
sociological filtering, which is integrated with user stereotypes. A protot
ype system was developed to test the applicability of the model for filteri
ng e-mail messages, and experiments were run to determine the effects of co
mbining the two methods in various filtering strategies. Results reveal tha
t although cognitive filtering alone is usually more effective than sociolo
gical filtering alone, the combination of both methods yield better results
than using each method individually. Ordinarily, the best filtering strate
gies are achieved when the two methods are used in parallel, or when cognit
ive filtering is the primary method, followed by sociological filtering. We
conclude that the optimal filtering strategy of combining cognitive and so
ciological filtering is stereotype dependent; i.e., for each user stereotyp
e, there may be a specific combination of the cognitive and sociological fi
ltering that yields best results. (C) 1999 Elsevier Science B.V. All rights
reserved.