TREC AND TIPSTER EXPERIMENTS WITH INQUERY
TREC AND TIPSTER EXPERIMENTS WITH INQUERY
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DOI：
10.1016/0306-4573(94)00050-d
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发表时间：
1995-05-01
影响因子：
8.6
通讯作者：
BROGLIO, J
中科院分区：
文献类型：
--
作者：
CALLAN, JP;CROFT, WB;BROGLIO, J
INQUERY是一个基于贝叶斯推理网络模型的概率信息检索系统。本文介绍了最近的改进，该系统作为参与TIPSTER项目和TREC-2会议的结果。改进包括将基于表单的信息需求规范转换为复杂的结构化查询、自动查询扩展、自动识别文档中的特征、相关反馈和模拟文档路由。实验一个和两个千兆字节的文档集合也进行了描述。
INQUERY is a probabilistic information retrieval system based upon a Bayesian inference network model. This paper describes recent improvements to the system as a result of participation in the TIPSTER project and the TREC-2 conference. Improvements include transforming forms-based specifications of information needs into complex structured queries, automatic query expansion, automatic recognition of features in documents, relevance feedback, and simulated document routing. Experiments with one- and two-gigabyte document collections are also described.