Digital Libraries: Implementing Strategies and Sharing Experiences, 8th International Conference on Asian Digital Libraries, ICADL 2005, Bangkok, Thailand, December 12-15, 2005, Proceedings
Digital Libraries: Implementing Strategies and Sharing Experiences, 8th International Conference on Asian Digital Libraries, ICADL 2005, Bangkok, Thailand, December 12-15, 2005, Proceedings
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数字图书馆：实施策略和分享经验，第八届亚洲数字图书馆国际会议，ICADL 2005，泰国曼谷，2005 年 12 月 12-15 日，会议记录
DOI：
10.1007/11599517
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
V. Wuwongse
中科院分区：
文献类型：
--
作者：
E. Fox;Erich J. Neuhold;P. Premsmit;V. Wuwongse
协同查询旨在通过共享专家知识或其他用户的搜索经验来帮助用户制定查询。前人的工作是为数字图书馆开发一个协同查询环境(CQE)。该系统通过使用混合查询相似性识别方法对相关查询进行聚类并向用户推荐来运行。用户可以使用称为Query Graph Visualizer(QGV)的基于图形的可视化系统来探索查询集群。本文的目的是对CQE进行评估，目的是告知这样一个系统的有用性和可用性。我们的结果表明，与传统的信息检索系统相比，当用户执行未指定的任务时，协同查询可以导致更快的信息查找。
Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other users’ search experiences. In previous work, a collaborative query environment (CQE) was developed for a digital library. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. Users can explore the query clusters using a graph-based visualization system known as the Query Graph Visualizer (QGV). The purpose of this paper is to evaluate the CQE with goal of informing the usefulness and usability of such a system. Our results show that compared with traditional information retrieval systems, collaborative querying can lead to faster information seeking when users perform unspecified tasks.