Before revision:  Recently, Fairstein et al. (ESA20) presented a tight (1-1/e-\epsilon)-approximation randomized algorithm for SMKP.
After revision:  Recently, Fairstein et al. 13 presented a tight (1-1/e-\epsilon)-approximation randomized algorithm for SMKP.