A personalized quality-aware reranking framework that explicitly incorporates product quality into the ranking objective, and proposes a dual-model architecture: Personalized NQD (PNQD), which estimates user-specific dissatisfaction risk for a user–product pair, and Retention-Driven Alpha (RDA), which adaptively contro...
Siddhant Doshi, Krish Rupapara, Bhavuk Singhal et al.· Proceedings of the 35th ACM...· 0 citations
Modern recommendation systems are predominantly optimized for short-term engagement signals such as Click-Through Rate (CTR) and Conversion Rate (CVR), often overlooking post-purchase user satisfaction. As a result, ranking systems can repeatedly promote products that drive immediate interactions but lead to poor user...
Siddhant Doshi, Krish Rupapara, Bhavuk Singhal et al.· Proceedings of the 35th ACM...· 0 citations
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