The hybrid structure leverages complementary strengths by IR and the fast model (both in terms of accuracy and speed), as will be discussed in Section 3.4.
these methods typically require extensive parameter (and hyper-parameter) tuning, which gives rise to efficiency issues for large-scale datasets, and potentially makes them less portable across new datasets and domains (as re-tuning is usually required).