Understanding Temporal Intent of User Query Based on Time-Based Query Classification
Web queries are time sensitive which implies that users in tent for information changes over time.How to recognize temporal in tents behind user queries is crucial towards improving the performance of search engines.However, to the best of our knowledge, this problem has not been studied in existing work.In this paper, we propose a time based query classification approach to understand users temporal intent automatically.We first analyzed the shared features of queries tempo ral intent distributions.Then, we present a query taxonomy which group queries according to their temporal intents.Finally, for a new given query, we propose a machine learning method to decide its class in terms of its search frequency over time recorded in Web query logs.Experiments demonstrate that our approach can understand users temporal intents effectively.
Temporal Intent Query Classification Machine Learning
Pengjie Ren Zhumin Chen Xiaomeng Song Bin Li Haopeng Yang Jun Ma
School of Computer Science and Technology, Shandong University, Jinan, 250101, China
国际会议
Second CCF Conference,NLPCC2013(第二届自然语言处理与中文计算会议)
重庆
英文
334-345
2013-11-15（万方平台首次上网日期，不代表论文的发表时间）