De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Robin Burke , Gediminas Adomavicius , Toine Bogers , Tommaso Di Noia , Dominik Kowald , Julia Neidhardt , Özlem Özgöbek , Maria Soledad Pera , Nava Tintarev , Jürgen Ziegler
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Abstract

Multistakeholder recommender systems are those that account for the impacts and preferences of multiple groups of individuals, not just the end users receiving recommendations. Due to their complexity, these systems cannot be evaluated strictly by the overall utility of a single stakeholder, as is often the case of more mainstream recommender system applications. In this article, we focus our discussion on the challenges of multistakeholder evaluation of recommender systems. We bring attention to the different aspects involved—from the range of stakeholders involved (including but not limited to providers and consumers) to the values and specific goals of each relevant stakeholder. We discuss how to move from theoretical principles to practical implementation, providing specific use case examples. Finally, we outline open research directions for the RecSys community to explore. We aim to provide guidance to researchers and practitioners about incorporating these complex and domain-dependent issues of evaluation in the course of designing, developing, and researching applications with multistakeholder aspects.
去中心化(传统)用户:推荐系统的多利益相关者评估
多利益相关者推荐系统考虑了多个群体的影响和偏好,而不仅仅是接收推荐的最终用户。由于它们的复杂性,这些系统不能通过单个利益相关者的整体效用来严格评估,而更主流的推荐系统应用程序通常是这样的。在本文中,我们将重点讨论推荐系统的多利益相关者评估的挑战。我们关注所涉及的不同方面——从涉及的利益相关者范围(包括但不限于供应商和消费者)到每个相关利益相关者的价值观和具体目标。我们将讨论如何从理论原则转向实际实现,并提供具体的用例示例。最后,我们概述了开放的研究方向,供RecSys社区探索。我们的目标是为研究人员和实践者提供指导,将这些复杂和领域相关的评估问题纳入设计、开发和研究具有多利益相关者方面的应用程序的过程中。
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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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