Extending Retrieval with Stepping Stones and Pathways

通过垫脚石和途径扩展检索

• 批准号: 0307867
• 负责人: Edward Fox
• 金额: $ 12.43万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0307867&HistoricalAwards=false
• 关键词: Extending; Retrieval; Stepping; Stones; Pathways

Millions of users of information retrieval systems each day seek useful items, but many are frustrated with the results received. Often, better results can be found when a query is split into parts that cover different but connected aspects of the information need. Sometimes a small set of (2-3) documents is needed as an answer instead of a single document.This project researches an alternative interpretation of user queries and presentation of the results. It has the potential to improve retrieval results whenever there is a mismatch between a user's understanding of the collection and the actual collection content. A probabilistic retrieval scheme is employed with: a framework based on belief networks which can combine multiple sources of evidence; and user feedback at document, cluster (group), and relationship (e.g., citation or hypertext link) levels.Query results in this interpretation are networks of document groups representing topics, each group relating and connected to other groups in the network that partially answer the user's information need. New and more effective representations and techniques help users visualize these results. The user is part of the retrieval process, and can manipulate the network of content. The system can provide deeper support of the user's need, in a way that goes well beyond traditional relevance feedback.This project will involve scores of students (including those in minority and under-represented groups) in information retrieval studies, leading to several world-accessible electronic theses and dissertations, and improved search methods. Because of this research, scientists and the public in general should be able to more easily search for answers to complex questions. Software and collections developed will be available to other researchers. Results will be shared at workshops and conferences and with companies such as AOL, and made available at the project's Web site (http://fox.cs.vt.edu/SSP/).

每天都有数以百万计的信息检索系统用户寻找有用的项目，但许多人对收到的结果感到沮丧。通常，当将查询分为多个部分来覆盖信息需求的不同但相互关联的方面时，可以找到更好的结果。有时需要一小组 (2-3) 个文档而不是单个文档作为答案。该项目研究用户查询和结果呈现的替代解释。当用户对集合的理解与实际集合内容不匹配时，它就有可能改善检索结果。概率检索方案采用： 基于信念网络的框架，可以结合多个证据来源；以及文档、簇（组）和关系（例如引文或超文本链接）级别的用户反馈。此解释中的查询结果是代表主题的文档组网络，每个组与网络中部分回答的其他组相关并连接用户的信息需求。新的、更有效的表示和技术可以帮助用户可视化这些结果。用户是检索过程的一部分，并且可以操纵内容网络。该系统可以以远远超出传统相关性反馈的方式为用户的需求提供更深入的支持。该项目将让数十名学生（包括少数族裔和代表性不足群体的学生）参与信息检索研究，从而产生一些世界性的成果。易于访问的电子论文和论文，以及改进的搜索方法。由于这项研究，科学家和公众应该能够更轻松地寻找复杂问题的答案。开发的软件和集合将可供其他研究人员使用。结果将在研讨会和会议上以及与 AOL 等公司共享，并在该项目的网站 (http://fox.cs.vt.edu/SSP/) 上提供。