study on segmentation of user's query intents

Query intent denotes the specific information that user wants to look for when he submit a query to a search engine.If search engine can judge whether the intent of current query is same as that of previous query,they would refine current query and offer users more accurate results and services,such as query suggestion,query expansion or personalized information retrieval.This paper proposed click data-based similarity,and this similarity is effective with decision tree model and CRF model.Users' click data is helpful for this task,with users' click data,F-measure is improved by 1% and 1.4% for decision tree-based method and CRF-based method respectively.