基于证据学习的主动战略决策网络搜索查询消歧

Shahid Kamal, Jamal Abdul Nasir, Zia Uddin, Bakhtiar Khan
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引用次数: 0

摘要

网络搜索引擎可能是所有软件系统中最重要的。的确,如果没有一种表示数据和提供接口组件的方法,用户的大量信息需求将无法得到满足。信息世界的快速发展和互联网向各个领域的渗透,增加了信息获取问题的重要性。为了与网络搜索系统进行交流,用户必须以查询的形式表达他或她的需求。然而,由于缺乏领域知识和自然语言(如同义词和多义词)的限制,许多系统用户无法将他们的需求表达为有效的查询。在本章中,作者试图详细描述歧义的概念,搜索查询,然后针对不同类型的消歧义过程。消除搜索意图的歧义,提高搜索结果的准确性是网络搜索系统领域的一个关键问题,特别是当大多数用户无法清楚地表达他们的信息需求时。
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Evidential Learning on Web Search Queries Disambiguation for Active Strategic Decision Making
The web search engines are perhaps the most significant of all software systems. True, the vast information needs of the users would not satisfy without a way to represent the data and provide the interface components. The fast growth of the information world and the internet saturation into all fields has increased the importance of the problem of information access. In pursuance of communication being made with a web search system, the user must express his or her needs in the form of queries. However, due to the lack of domain knowledge and the limitation of natural language such as synonym and polysemy, many system users cannot formulate their needs into effective queries. In this chapter, the authors attempt to give detailed description of ambiguity concept, search queries, and then disambiguation process with respect to different types. Disambiguating the search intent and improving the accuracy of resulting information is a crucial issue in the domain of web search systems, especially when most of users are unable to clearly express their information needs.
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