To qualitatively evaluate the ranking results, we use the Normalized Discounted Cumulative Gain (NDCG), which is commonly used to evaluate retrieval algorithms with respect to an ideal relevance-based ranking.
nDCG rewards rankings with the most relevant results at the top positions (Liu, 2009), which is also our objective, namely, to rank versions that have higher proportions of deceptive reviews nearer to the top.