%0 Journal Article
%T Recommendation Process in SR1 Web Document Recommender System
%A Dan MUNTEANU
%J Annals of Dunarea de Jos
%D 2008
%I Universitatea Dunarea de Jos
%X This paper presents a recommender system for web documents (given as bookmarks). The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. The algorithm for recommendation is using not only the correlation between users but also the similarity between classes. Some experimental results that support this approach are also presented.
%K web document recommender system
%K content filtering
%K collaborative filtering
%K vector space model
%U http://www.ann.ugal.ro/eeai/archives/2008/Lucrare-2-4-DMunteanu-p22-25.pdf