论文标题
使用Multiwinner投票搜索电影
Using Multiwinner Voting to Search for Movies
论文作者
论文摘要
我们展示了一个系统的原型，该系统使用Multi -Winner投票来建议与给定查询集有关的资源（例如电影）（例如一个人喜欢的电影）。根据所使用的投票规则，系统可以提供与查询集密切相关的资源，也可以提供更广泛的选项。我们展示了如何将这种能力解释为控制结果多样性的一种方式。我们在综合数据和Movielens数据集的电影评级集合中测试我们的系统。我们还提供了与所选多样性水平相对应的搜索结果的视觉比较。
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.
