Specifically, (Ge et al., 2010) evaluates serendipity as the ratio of unexpected but relevant results based on a benchmark model that generates expected recommendations, which are relevance-pursuing results.
from the result questions of each method, we remove the expected ones that are retrieved by the benchmark model.