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Author

Teresa Zhang

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Book Open access Sep 2026

Support Gap: Selecting Fixed-K Candidate Sets for Retained Personalized Headroom

Two-stage recommender systems often must choose among same-budget candidate sets before expensive reranking or online evaluation, yet Recall@K, diversity, and coverage do not measure how much fine-state-contingent choice survives retrieval. We define retained personalized headroom as the value of choosing separately fo...

Teresa Zhang · 0 citations
Book Open access Sep 2026

When Fixed-Candidate Offline Evaluation Changes Model Selection in Two-Stage Recommenders

Two-stage recommenders first retrieve a small candidate set from a large catalog and then apply a more detailed model to rank only those items. A common offline test instead gives every system the same candidates so that their scoring rules can be compared fairly, but this fixed-candidate protocol may select a differen...

Teresa Zhang · 0 citations

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