Search Results for author: Haoyun Feng

Found 1 papers, 0 papers with code

Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity

no code implementations1 Dec 2019 Chang Li, Haoyun Feng, Maarten de Rijke

Relevance ranking aims at building a ranked list sorted in decreasing order of item relevance, while result diversification focuses on generating a ranked list of items that covers a broad range of topics.

Learning-To-Rank Recommendation Systems

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