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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 ...
SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge
(Springer, 2014-10-14)
SemStim is a graph-based recommendation algorithm which is based on Spreading Activation and adds targeted activation and duration constraints. SemStim is not affected by data sparsity, the cold-start problem or data quality ...