Information Fostering - Being Proactive with Information Seeking and Retrieval: Perspective Paper

C. Shah
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引用次数: 15

Abstract

People often have difficulty in expressing their information needs. Many times this results from a lack of clarity about the task at hand, or the way an information or search system works. In addition, people may not know what they do not know. The former is addressed by search systems by providing recommendations, whereas there are no good solutions for the latter problem. Even when a search system makes recommendations, they are limited to suggesting objects such as queries and documents only. They do not consider providing suggestions for strategies, people, or processes. This Perspective Paper addresses it by showing how to investigate the nature of the work a person is doing, predicting the potential problems they may encounter, and providing help to overcome those problems. This help could be an object such as a document or a query, a strategy, or a person. This whole process is referred to as Information Fostering. Beyond crafting a general-purpose recommender system, Information Fostering is the idea of providing proactive suggestions and help to information seekers. This could allow them avoid potential problems and capture promising opportunities from a search process before it is too late. The current paper presents this new perspective by outlining desired characteristics of an Information Fostering system, envisioning application scenarios, and proposing a set of potential methods for moving forward. Beyond these details, the primary purpose of this paper is to offer a new viewpoint that looks at the other side of the information seeking coin, by bringing together ideas from human-computer interaction, information retrieval, recommender systems, and education.
信息培育——积极主动地寻找和检索信息:观点论文
人们常常难以表达自己的信息需求。很多时候,这是因为手头的任务不够清晰,或者信息或搜索系统的工作方式不够清晰。此外,人们可能不知道他们不知道什么。前者是由搜索系统通过提供推荐来解决的,而后者则没有好的解决方案。即使搜索系统提供推荐,它们也仅限于建议诸如查询和文档之类的对象。他们不考虑为策略、人员或过程提供建议。这篇透视论文通过展示如何调查一个人正在做的工作的性质,预测他们可能遇到的潜在问题,并提供帮助来克服这些问题来解决这个问题。这个帮助可以是一个对象,如文档或查询、策略或人。这整个过程被称为信息培养。除了创建一个通用的推荐系统之外,Information cultivation的理念是为信息寻求者提供主动的建议和帮助。这可以让他们避免潜在的问题,并在为时已晚之前从搜索过程中抓住有希望的机会。本文通过概述信息培育系统的期望特征,设想应用场景,并提出一套潜在的推进方法,提出了这一新的观点。除了这些细节之外,本文的主要目的是通过将人机交互、信息检索、推荐系统和教育等方面的思想结合起来,提供一种新的观点,从另一个角度来看待信息搜索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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