Recognizing special Named Entities from Chinese Web search query logs is very useful for practice.In this paper,a few seed words and feature selection techniques are used to extract features from the query logs first,and then the features are combined into a text classifier for NE recognition.Experiments on a handred milllion queries to mine six types of Special Named Entities show that it is able to find high quality Sepecial Named Entities from Chinese Web search query logs.The average P@500 of the six classes achieves 77%.