MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems
The authors propose a generic model-based re-ranking framework, MultiSlot ReRanker, that optimizes relevance, diversity, and freshness. It uses the Sequential Greedy Algorithm, which is efficient for large-scale recommendation engines. The…
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