Session Segmentation Based on Query Logs of Web Search
Jiang Zai-fan · Zhongwen xinxi xuebao · 2009
The session in query logs of web search denotes a sequential series of queries from a user when he is searching for certain information during a period of time.Correct session segmentation is a fundamental work for various researches such as searching activities analysis.Due to the unsystematic research on session at present,this paper redefines the conception of session and does several comparative studies.We conclude that(1) the statistical language model is not suitable for session segmentation because of the heavy data sparseness and(2) the decision tree method using multiple attributes can obtain very promising results.Evaluated at the session level,the decision tree based method achieves a F-measure up to 78.6%.