Abstract
The fintech PicPay offers a wide range of financial services to its 30 million monthly active users, with more than 50 thousand items recommended in the PicPay mobile app. In this scenario, promoting specific items that are strategic to the company can be very challenging. In this work, we present a Switching Hybrid Recommender System that combines two algorithms to effectively promote items without negatively impacting the user's experience. The results of our A/B tests show an uplift of up to 3.2\% when compared to a default recommendation strategy.
Abstract (translated)
金融科技公司PicPay为其3000万每月活跃用户提供了广泛的金融服务，并且PicPay移动应用程序中推荐了50000个商品。在这种情况下，推广对公司具有战略意义的特定商品可能会非常具有挑战性。在这项工作中，我们提出了一个切换混合推荐系统，结合两种算法有效地推广对该公司有战略意义的商品，而不会负面影响用户体验。我们进行的A/B测试的结果表明，与默认推荐策略相比，提升幅度高达3.2%。
URL
https://arxiv.org/abs/2310.10268
