Question Relevant of Query Recommendation in Baidu Search Engine Logs
Question relevant of query recommendation,as a branch of query recommendation in search engines,is aimed at enhancing users' search experience by suggesting appropriate queries.It has become one of the main obstacles in query optimization.In this paper,the authors studied the language features of interrogative queries based on the search engine logs,and conducted research on the explicit and implicit ones.A " Theme-Focus-Questions( TFQ) " model was proposed to suggest interrogative queries by combining the features of their themes and focus.The authors did experiments on large scale query logs and the search engine feedback.The value of MAP was 0.713 and the Subtopic Precision( SP @ r) had reached 0.630.