Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
Shameem A. Puthiya Parambath,
Christos Anagnostopoulos,
Roderick Murray-Smith
et al.
Abstract:We consider the query recommendation problem in closed loop interactive learning settings like online information gathering and exploratory analytics. The problem can be naturally modelled using the Multi-Armed Bandits (MAB) framework with countably many arms. The standard MAB algorithms for countably many arms begin with selecting a random set of candidate arms and then applying standard MAB algorithms, e.g., UCB, on this candidate set downstream. We show that such a selection strategy often results in higher… Show more
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