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Evaluation of contextual information retrieval effectiveness: overview of issues and research

机译：上下文信息检索有效性的评估：问题和研究概述

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摘要

The increasing prominence of information arising from a wide range of sources delivered over electronic media has made traditional information retrieval systems less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval which relies on various sources of evidence issued from the user’s search background and environment like interests, preferences, time and location, in order to improve the retrieval accuracy. Contextual information retrieval systems are based on different definitions of the core concept of user’s context, various user’s context modeling approaches and several techniques of document relevance measurement, but all share the goal of providing the most useful information to the users in accordance with their context. However, the evaluation methodologies conceived in the past several years for traditional information retrieval and widely used in the evaluation campaigns have been challenged by the consideration of user’s context in the information retrieval process. Thus, we recognize that a critical review of existing evaluation methodologies in contextual information retrieval area is needed in order to design and develop standard evaluation frameworks. We present in this paper a comprehensive survey of contextual information retrieval evaluation methodologies and provide insights into how and why they are appropriate to measure the retrieval effectiveness. We also highlight some of the research challenges ahead that would constitute substantive research area for future research.
机译：通过电子媒体传递的各种来源所产生的信息越来越重要，这使得传统的信息检索系统的效率下降。实际上，响应于他们的查询的这种系统传递的信息使用户不知所措，特别是在后者模棱两可的情况下。为了解决这个问题，最新技术表明，人们对上下文信息检索的兴趣与日俱增，它依赖于用户搜索背景和环境（例如兴趣，偏好，时间和位置）发出的各种证据来源，为了提高检索精度。上下文信息检索系统基于对用户上下文核心概念的不同定义，各种用户上下文建模方法以及几种文档相关性度量技术，但是所有这些都具有根据用户上下文向用户提供最有用信息的目标。但是，过去几年中为传统信息检索而构想并在评估活动中广泛使用的评估方法受到了信息检索过程中用户上下文的考虑的挑战。因此，我们认识到，有必要对上下文信息检索领域中的现有评估方法进行严格审查，以设计和开发标准评估框架。我们在本文中对上下文信息检索评估方法进行了全面的调查，并提供了有关如何以及为什么它们适合用来衡量检索效果的见解。我们还将重点介绍未来的一些研究挑战，这些挑战将构成未来研究的实质性研究领域。

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