diff --git a/base/sparse/cholmod.jl b/base/sparse/cholmod.jl
index e729853278c2c..d993419b9a93b 100644
--- a/base/sparse/cholmod.jl
+++ b/base/sparse/cholmod.jl
@@ -1465,7 +1465,7 @@ Ac_ldiv_B(L::FactorComponent, B) = ctranspose(L)\B
 (\){T}(L::Factor{T}, B::Dense{T}) = solve(CHOLMOD_A, L, B)
 (\)(L::Factor{Float64}, B::VecOrMat{Complex{Float64}}) = L\real(B) + L\imag(B)
 (\)(L::Factor, b::StridedVector) = Vector(L\convert(Dense{eltype(L)}, b))
-(\)(L::Factor, B::Matrix) = Matrix(L\convert(Dense{eltype(L)}, B))
+(\)(L::Factor, B::StridedMatrix) = Matrix(L\convert(Dense{eltype(L)}, B))
 (\)(L::Factor, B::Sparse) = spsolve(CHOLMOD_A, L, B)
 # When right hand side is sparse, we have to ensure that the rhs is not marked as symmetric.
 (\)(L::Factor, B::SparseVecOrMat) = sparse(spsolve(CHOLMOD_A, L, Sparse(B, 0)))
diff --git a/test/sparsedir/cholmod.jl b/test/sparsedir/cholmod.jl
index bc21d912b7591..40b7724b664d9 100644
--- a/test/sparsedir/cholmod.jl
+++ b/test/sparsedir/cholmod.jl
@@ -632,3 +632,10 @@ Fnew = deserialize(b)
 @test_throws MethodError cholfact(speye(BigFloat, 5))
 @test_throws MethodError cholfact(Symmetric(speye(BigFloat, 5)))
 @test_throws MethodError cholfact(Hermitian(speye(Complex{BigFloat}, 5)))
+
+# test \ for Factor and StridedVecOrMat
+let x = rand(5)
+    A = cholfact(sparse(diagm(x.\1)))
+    @test_approx_eq A\sub(ones(10),1:2:10) x
+    @test_approx_eq A\slice(eye(5,5),:,:) diagm(x)
+end