论文标题
信息互动和检索中信息质量的对话主义方法
A Conversationalist Approach to Information Quality in Information Interaction and Retrieval
论文作者
论文摘要
本文不是使用（代理）最终用户或专家判断来决定信息排名，而是询问有关信息质量的对话是否可能为排名信息提供可行且有价值的补充。我们介绍了信息质量的理论框架，概述了如何将信息互动视为对话和质量的对话贡献。接下来，概述了不同的社会一致性系统及其评估质量和排名信息的价值。我们建议，质量评估的协作方法是可取的，并提出有关这种方法对信息的可行性和价值的关键问题。我们得出的结论是，信息质量是一个固有的交互式概念，它涉及不同背景，不同情况以及用户搜索行为和经验的质量信号之间的互动。
Rather than using (proxies of) end user or expert judgment to decide on the ranking of information, this paper asks whether conversations about information quality might offer a feasible and valuable addition for ranking information. We introduce a theoretical framework for information quality, outlining how information interaction should be perceived as a conversation and quality be evaluated as a conversational contribution. Next, an overview is given of different systems of social alignment and their value for assessing quality and ranking information. We propose that a collaborative approach to quality assessment is preferable and raise key questions about the feasibility and value of such an approach for ranking information. We conclude that information quality is an inherently interactive concept, which involves an interaction between users of different backgrounds and in different situations as well as of quality signals on users' search behavior and experience.
