The QueRIE system for Personalized Query Recommendations
The QueRIE system for Personalized Query Recommendations
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用于个性化查询推荐的 QueRIE 系统
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Jothi Swarubini Vindhiya Varman
中科院分区：
文献类型：
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作者：
Gloria Chatzopoulou;Magdalini Eirinaki;Suju Koshy;Sarika Mittal;N. Polyzotis;Jothi Swarubini Vindhiya Varman
交互式数据库探索是信息挖掘的关键任务。然而，缺乏 SQL 专业知识或不熟悉数据库模式的用户在执行此任务时面临很大困难。为了帮助这些用户，我们开发了 QueRIE 系统来提供个性化查询推荐。 QueRIE持续监控用户的查询行为，并在系统的查询日志中查找匹配模式，试图识别具有类似信息需求的先前用户。随后，QueRIE 使用这些“相似”用户及其查询来推荐当前用户可能感兴趣的查询。我们讨论了 QueRIE 的关键组件，并描述了基于 Sky Server 数据库的实际用户跟踪的经验结果。
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.