Tutorial on Offline Evaluation for Group Recommender Systems

F. Barile, Amra Delic, Ladislav Peška
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引用次数: 3

Abstract

Group Recommender Systems (GRSs), unlike recommendations for individuals, provide suggestions for groups of people. Clearly, many activities are often experienced by a group rather than an individual (visiting a restaurant, traveling, watching a movie, etc.) hence the requirement for such systems. The topic is gradually receiving more and more attention, with an increased number of papers published at significant venues, which is enabled by the predominance of online social platforms that allow their users to interact in groups, as well as to plan group activities. However, the research area lacks certain ground rules, such as basic evaluation agreements. We believe this is one of the main obstacles to make advances in the research area, and to enable researchers to compare and continue each others’ works. In other words, setting the basic evaluation agreements is a stepping-stone towards reproducible Group Recommenders research. The goal of this tutorial is to tackle this problem, by providing the basic principles of the GRSs offline evaluation approaches.
小组推荐系统的离线评估教程
群体推荐系统(GRSs)不同于针对个人的推荐,它为群体提供建议。显然,许多活动通常是由一个团队而不是个人体验的(访问餐馆、旅行、看电影等),因此需要这样的系统。这一话题正逐渐受到越来越多的关注,在重要场合发表的论文越来越多,这得益于在线社交平台的优势,这些平台允许用户分组互动,并计划群组活动。然而,该研究领域缺乏某些基本规则,例如基本评估协议。我们认为这是在研究领域取得进展的主要障碍之一,并使研究人员能够比较和继续彼此的工作。换句话说,制定基本评价协议是迈向可重复的群体推荐人研究的踏脚石。本教程的目标是通过提供grs离线评估方法的基本原则来解决这个问题。
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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