With　the　increasing　popularity　of　location-based　services,　location　recommendation　is　one　of　important　applications.　In　this　paper,　according　to　a　user＇s　preference,　we　recommend　locations　to　a　user　by　extending　an　information　retrieval　model,　namely,　belief　network　model.　We　regard　the　user＇s　preference　as　a　query,　a　location　as　a　document,　categories　as　index　terms.　And　then,　we　use　the　belief　network　model　to　recommend　locations　to　a　user　by　adding　expert　information.　Experimental　results　on　a　real　world　data　set　show　that　recommendation　effectiveness　can　be　improved.