Aug 6, 2016 · We investigate a novel cluster-of-bandit algorithm CAB for collaborative recommendation tasks that implements the underlying feedback sharing mechanism.

In this paper, we introduce and analyze the CAB (Context-. Aware clustering of Bandits) algorithm, a simple and flexi- ble algorithm rooted in the linear ...

Abstract. We investigate a novel cluster-of-bandit algo- rithm CAB for collaborative recommendation tasks that implements the underlying feedback.

Sep 9, 2024 · We investigate a novel cluster-of-bandit algorithm CAB for collaborative recommendation tasks that implements the underlying feedback ...

We investigate a novel cluster-of-bandit algorithm CAB for collaborative recommendation tasks that implements the underlying feedback sharing mechanism by ...

A novel cluster-of-bandit algorithm CAB is investigated for collaborative recommendation tasks that implements the underlying feedback sharing mechanism by ...

Mar 5, 2017 · PDF | On Jan 1, 2017, Claudio Gentile and others published On Context-Dependent Clustering of Bandits | Find, read and cite all the research ...

On Context-Dependent Clustering of Bandits ... We investigate a novel cluster-of-bandit algorithm CAB for collaborative recommendation tasks that implements the ...

We propose an efficient Context-Aware clustering of Bandits (CAB) algorithm, which can capture collaborative effects. CAB can be easily deployed in a real-.

These online clustering of bandit algorithms adaptively learn the clustering structure over users based on the collaborative recommendation results to gather.