Liquid FM：通过粘性民主推荐音乐
Liquid FM: Recommending Music through Viscous Democracy
摘要：
大多数现代推荐系统使用协同过滤的方法：被认为行为相似的用户被用来产生推荐。在这项工作中，我们描述了一个应用程序（液体FM）采取完全不同的方法。Liquid FM是一个音乐推荐系统，让用户对推荐的项目负责。建议是投票方案的结果，采用了粘性民主的思想。Liquid FM也可以被认为是这个投票系统的第一个测试平台。在本文中，我们概述了应用程序的设计和体系结构，无论是从理论和实施的观点。
英文摘要：
Most modern recommendation systems use the approach of collaborative filtering: users that are believed to behave alike are used to produce recommendations. In this work we describe an application (Liquid FM) taking a completely different approach. Liquid FM is a music recommendation system that makes the user responsible for the recommended items. Suggestions are the result of a voting scheme, employing the idea of viscous democracy. Liquid FM can also be thought of as the first testbed for this voting system. In this paper we outline the design and architecture of the application, both from the theoretical and from the implementation viewpoints.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
