信息检索：系统特征概述
Information retrieval: an overview of system characteristics.
作者信息
Wiesman F, Hasman A, van den Herik H J
机构信息
Department of Medical Informatics, Maastricht University, The Netherlands.
出版信息
Int J Med Inform. 1997 Nov;47(1-2):5-26. doi: 10.1016/s1386-5056(97)00094-4.
The paper gives an overview of characteristics of information retrieval (IR) systems. The characteristics are identified from the descriptions of 23 IR systems. Four IR models are discussed: the Boolean model, the vector model, the probabilistic model and the connectionistic model. Twelve other characteristics of IR models are identified: search intermediary, domain knowledge, relevance feedback, natural language interface, graphical query language, conceptual queries, full-text IR, field searching, fuzzy queries, hypertext integration, machine learning, and ranked output. Finally, the relevance of IR systems for the World Wide Web is established.
本文概述了信息检索（IR）系统的特征。这些特征是从23个IR系统的描述中识别出来的。讨论了四种IR模型：布尔模型、向量模型、概率模型和连接主义模型。还识别出了IR模型的其他十二个特征：搜索中介、领域知识、相关反馈、自然语言界面、图形查询语言、概念查询、全文IR、字段搜索、模糊查询、超文本集成、机器学习和排序输出。最后，确定了IR系统与万维网的相关性。
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