When the relevance labels are assigned by humans, it is reasonable to assume that queries with the lowest information entropy of labels are the least noisy.
we evaluated the ranking model adaptation methods on two web search domains, namely (1) a name query domain, which consists of only person name queries, and (2) a Korean query domain, which consists of queries that users submitted to the Korean market.