QueRIE: A Query Recommender System Supporting Interactive Database Exploration
QueRIE: A Query Recommender System Supporting Interactive Database Exploration
复制标题
DOI：
10.1109/icdmw.2010.43
复制
发表时间：
2010-12
期刊：
影响因子：
--
通讯作者：
Sarika Mittal;Jothi Swarubini Vindhiya Varman;Gloria Chatzopoulou;Magdalini Eirinaki;N. Polyzotis
中科院分区：
文献类型：
--
作者：
Sarika Mittal;Jothi Swarubini Vindhiya Varman;Gloria Chatzopoulou;Magdalini Eirinaki;N. Polyzotis
这个演示介绍了QueRIE，一个推荐系统，支持交互式数据库探索。该系统旨在通过生成个性化的查询建议来帮助科学数据库的非专家用户。从Web推荐系统的灵感，QueRIE跟踪每个用户的查询行为，并确定潜在的“有趣”的部分数据库相关的相应的数据分析任务，通过定位这些数据库的部分，在过去被类似的用户访问。然后，它生成并向用户推荐覆盖这些部分的查询。
This demonstration presents QueRIE, a recommender system that supports interactive database exploration. This system aims at assisting non-expert users of scientific databases by generating personalized query recommendations. Drawing inspiration from Web recommender systems, QueRIE tracks the querying behavior of each user and identifies potentially “interesting” parts of the database related to the corresponding data analysis task by locating those database parts that were accessed by similar users in the past. It then generates and recommends the queries that cover those parts to the user.