Movie recommender systems help users to navigate the magnitude and diversity of movies that people have easy access to nowadays, especially with online streaming services. However, current systems personalize recommendations primarily based on what they think a specific user would like or prefer using information about how similar the users are to other users. Prior work has suggested that this could lead to a ‘filter bubble’ whereby users only watch movies that they are comfortable with. This paper presents the novel concept of event-inspired movies that draw on users’ highly specific everyday life experiences to recommend movies that are meaningful to them. To conduct the study, we developed a systematic process to align movies with viewer variables. Meaningful movies have been said to have therapeutic potential to possibly affect one’s sense of overall well-being. We conducted a study with 24 participants to explore how users engage with event-inspired movies, whether event-inspired movies are perceived as more relevant, and their potential to affect users’ sense of life satisfaction. In so doing, we also contribute a process and insights on how to operationalize event-inspired movies that can inform the implementation of a movie recommender system situated within the proposed paradigm.

电影推荐器系统可帮助用户导航人们今天可以轻松访问的电影的数量和种类，尤其是在线流媒体服务。然而，当前系统主要基于他们认为特定用户想要或喜欢使用关于用户与其他用户的相似程度的信息来个性化推荐。先前的工作表明，这可能会导致“滤泡”，即用户只能观看自己喜欢的电影。本文介绍了受事件启发的电影的新颖概念，它借鉴了用户的高度特定的日常生活体验，向他们推荐对他们有意义的电影。为了进行这项研究，我们开发了一种系统的过程来使电影与观众变量对齐。据说有意义的电影具有治疗潜力，可能会影响一个人的整体幸福感。我们与24名参与者进行了一项研究，以探讨用户如何观看事件启发性电影，是否认为事件启发性电影更相关，以及它们是否会影响用户的生活满意度。通过这样做，我们还为如何操作受事件启发的电影提供了过程和见解，这些信息和信息可以为提议的范例中的电影推荐系统的实施提供信息。