In　recent　years,　we　have　witnessed　the　development　of　location-based　services　where　geographical　information　plays　an　important　role　in　reflecting　user　preferences.　This　paper　aims　to　provide　a　unified　framework　for　location-aware　recommender　systems　with　the　consideration　of　geographical　influence　using　the　matrix　factorization　method.　In　the　framework,　we　propose　three　models　corresponding　to　three　kinds　of　ratings,　namely,　ILARS-MF　to　non-spatial　ratings　for　spatial　items;　ULARS-MF　to　spatial　ratings　for　non-spatial　items　and　UILARS-MF　to　spatial　ratings　for　spatial　items.　The　experimental　results　on　real　data　sets　show　that　our　recommendations　are　more　effective　than　baseline　methods.