Cascading Bandits for Large-Scale Recommendation Problems

1 code implementation • 17 Mar 2016 • Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton

In this work, we study cascading bandits, an online learning variant of the cascade model where the goal is to recommend $K$ most attractive items from a large set of $L$ candidate items.

Multi-Armed Bandits Recommendation Systems +1