We show a prototype of a system that uses multiwinner voting to suggest resources (such as movies) related to a given query set (such as a movie that one enjoys). Depending on the voting rule used, the system can either provide resources very closely related to the query set or a broader spectrum of options. We show how this ability can be interpreted as a way of controlling the diversity of the results. We test our system both on synthetic data and on the real-life collection of movie ratings from the MovieLens dataset. We also present a visual comparison of the search results corresponding to selected diversity levels.

翻译：我们展示了一个系统原型,这个系统利用多赢者投票来建议与特定查询组有关的资源(如电影)(如一个人所享受的电影)。根据所使用的投票规则,这个系统可以提供与查询组密切相关的资源或更广泛的选择范围。我们展示了如何将这种能力解释为一种控制结果多样性的方法。我们测试了我们的系统,既包括合成数据,也包括从MovieLens数据集收集电影评级的真实生活。我们还对与选定的多样性水平相对应的搜索结果进行了直观比较。