[2310.10268] Rethinking Financial Service Promotion With Hybrid Recommender Systems at PicPay
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Computer Science > Information Retrieval

arXiv:2310.10268 (cs)
[Submitted on 16 Oct 2023]

Title:Rethinking Financial Service Promotion With Hybrid Recommender Systems at PicPay

Authors:Gabriel Mendonça (Federal University of Rio de Janeiro), Matheus Santos (PicPay), André Gonçalves (PicPay), Yan Almeida (PicPay)
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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.
Comments: 4 pages, 4 figures, submitted to ACM KDD '23 2nd Workshop on End-End Customer Journey Optimization
Subjects: Information Retrieval (cs.IR); Artificial Intelligence (cs.AI)
ACM classes: J.1
Cite as: arXiv:2310.10268 [cs.IR]
  (or arXiv:2310.10268v1 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2310.10268

Submission history

From: Gabriel Mendonça [view email]
[v1] Mon, 16 Oct 2023 10:49:46 UTC (521 KB)
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