PCap: Personalized Retrieval-Stage Diversity Capping in Facebook Marketplace

• URL: http://arxiv.org/abs/2609.16452v1
• Date: Tue, 15 Sep 2026 00:16:43 GMT
• Title: PCap: Personalized Retrieval-Stage Diversity Capping in Facebook Marketplace
• Abstract summary: We propose a personalized capping framework (PCap) to improve the diversity in Facebook Marketplace by introducing user-level diversity constraints at the retrieval stage.<n>PCap models individual diversity preferences using Shannon entropy-based scoring, segments users into diversity buckets, and applies personalized category caps during multi-source candidate retrieval.
• Score: 13.439754782570999
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We propose a personalized capping framework (PCap) to improve the diversity in Facebook Marketplace by introducing user-level diversity constraints at the retrieval stage. PCap models individual diversity preferences using Shannon entropy-based scoring, segments users into diversity buckets, and applies personalized category caps during multi-source candidate retrieval. To navigate the high-dimensional parameter space of per-bucket caps, we leverage an automated online optimization method called Parameter Tuning Sequence. Large-scale online experiments demonstrate that PCap significantly improves users' browsing experience shown in engagement metrics. This work provides practical insights into integrating personalized diversity into industrial retrieval systems.

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