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Recommendation systems have been widely used to overcome the problem of information overloading and help people to make the right decision of needed items, such as: movies, books, products, or even people. This paper proposes a semantic model for people recommendation in online community. This model predicts significant links that would be established between community' members even they do not know each other using cascaded collaborative filtering (CF). Two major steps in this type ofdoi:10.24297/ijct.v11i8.3012 fatcat:xw5qxmpfvrhlrb7kw3jjtezyju