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XPLODIV: An exploitation-exploration aware diversification approach for Recommender Systems
(AAAI Press, 2015-07)
Recommender Systems (RS) have emerged to guide users in the task of efficiently browsing/exploring a large product space, helping users to quickly identify interesting products. However, suggestions generated with traditional ...
BEARS: Towards an evaluation framework for bandit-based interactive recommender systems
(NUI Galway, 2018-10-06)
Recommender Systems (RS) deployed in fast-paced dynamic scenarios must quickly learn to adapt in response to user evaluative feedback. In these settings, the RS faces an online learning problem where each decision should ...