On the science of search: statistical approaches, evaluation, optimisation

S. Robertson
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引用次数: 1

Abstract

This paper, based on a talk, presents an overview of evaluation experiments in information retrieval, and also of statistical approaches to search. A strong connection exists between them: the notion that the objective of search can be expressed in terms of the measures used for evaluation informs the statistical theory in several ways. The latest manifestation of this connection is the work on optimization of ranking algorithms, using machine learning techniques.
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关于搜索的科学:统计方法,评估,优化
本文在一次演讲的基础上,概述了信息检索中的评价实验,以及统计方法在检索中的应用。它们之间存在着强烈的联系:搜索的目标可以用用于评估的度量来表示,这一概念在几个方面为统计理论提供了信息。这种联系的最新表现是使用机器学习技术对排名算法进行优化。
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