Contextual Bandits in a Collaborative Environment

SIGIR, pp. 529-538, 2016.

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Abstract:

Contextual bandit algorithms provide principled online learning solutions to find optimal trade-offs between exploration and exploitation with companion side-information. They have been extensively used in many important practical scenarios, such as display advertising and content recommendation. A common practice estimates the unknown ba...More

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