期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2011
卷号：34
期号：02
出版社：IEEE Computer Society
摘要：Interactive database exploration is a key task in information mining. However, users who lack SQL
expertise or familiarity with the database schema face great difficulties in performing this task. To
aid these users, we developed the QueRIE system for personalized query recommendations. QueRIE
continuously monitors the user’s querying behavior and finds matching patterns in the system’s query
log, in an attempt to identify previous users with similar information needs. Subsequently, QueRIE uses
these “similar” users and their queries to recommend queries that the current user may find interesting.
We discuss the key components of QueRIE and describe empirical results based on actual user traces
with the Sky Server database.
