Smile and Learn is an Ed-Tech company that runs a smart library with more that 100 applications, games and interactive stories, aimed at children aged two to 10 and their families. The platform gathers thousands of data points from the interaction with the system to subsequently offer reports and recommendations. Given the complexity of navigating all the content, the library implements a recommender system. The purpose of this paper is to evaluate two aspects of such system focused on children: the influence of the order of recommendations on user exploratory behavior, and the impact of the choice of the recommendation algorithm on engagement. The assessment, based on data collected between 15 October 2018 and 1 December 2018, required the analysis of the number of clicks performed on the recommendations depending on their ordering, and an A/B/C testing where two standard recommendation algorithmswere comparedwith a randomrecommendation that served as baseline. The results suggest a direct connection between the order of the recommendation and the interest raised, and the superiority of recommendations based on popularity against other alternatives.
翻译:微笑与学习是一家名为Ed-Tech的智能图书馆公司,拥有100多个应用程序、游戏和互动故事,面向两至10岁儿童及其家庭。平台收集了数千个与系统互动的数据点,随后提供报告和建议。鉴于浏览所有内容的复杂性,图书馆实施了一个推荐系统。本文件的目的是评估这种系统以儿童为重点的两个方面:建议顺序对用户探索行为的影响,以及选择建议算法对参与的影响。评估基于2018年10月15日至2018年12月1日收集的数据,需要分析按其顺序对建议进行的点击次数,以及A/B/C测试,其中两个标准建议算法与随机建议进行比较,作为基线。结果显示建议顺序与提出的兴趣之间的直接联系,以及基于受欢迎程度的建议相对于其他选择的优越性。