让用户零成本使用自建推荐系统，靠复用旧推荐结果实现
Overhead-free User-side Recommender Systems
- 复用平台提供的历史推荐结果，无需额外通信
- 性能媲美顶尖用户侧推荐算法，通信成本降低至0
- 适合关注隐私与自主权的普通用户和开发者
传统推荐算法主要面向服务提供方设计。近年来，用户侧推荐系统作为一种新范式被提出：由终端用户自行构建和使用，与传统的服务商侧系统形成鲜明对比。即使官方系统存在偏见，用户也能自主创建并享受个性化推荐。然而，现有用户侧系统需与官方系统进行大量通信，即便最高效的方案也比服务商侧高出约5倍开销，严重阻碍其普及。本文提出无开销用户侧推荐系统 RecCycle，通过复用官方推荐系统的历史结果实现用户侧推荐，这些数据可免费获取，极大降低通信成本。实验表明，RecCycle在性能上达到当前最优用户侧推荐算法水平，同时显著降低系统开销。
原文摘要 · Abstract (English)
Traditionally, recommendation algorithms have been designed for service developers. But recently, a new paradigm called user-side recommender systems has been proposed. User-side recommender systems are built and used by end users, in sharp contrast to traditional provider-side recommender systems. Even if the official recommender system offered by the provider is not fair, end users can create and enjoy their own user-side recommender systems by themselves. Although the concept of user-side recommender systems is attractive, the problem is they require tremendous communication costs between the user and the official system. Even the most efficient user-side recommender systems require about 5 times more costs than provider-side recommender systems. Such high costs hinder the adoption of user-side recommender systems. In this paper, we propose overhead-free user-side recommender systems, RecCycle, which realizes user-side recommender systems without any communication overhead. The main idea of RecCycle is to recycle past recommendation results offered by the provider's recommender systems. The ingredients of RecCycle can be retrieved ``for free,'' and it greatly reduces the cost of user-side recommendations. In the experiments, we confirm that RecCycle performs as well as state-of-the-art user-side recommendation algorithms while RecCycle reduces costs significantly.
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