Using Multiwinner Voting to Search for Movies
Computer Science and Game Theory
2022-02-09 v2
Abstract
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.
Cite
@article{arxiv.2202.03385,
title = {Using Multiwinner Voting to Search for Movies},
author = {Grzegorz Gawron and Piotr Faliszewski},
journal= {arXiv preprint arXiv:2202.03385},
year = {2022}
}
Comments
20 pages, 10 figures, 2 tables