Browsing Data Science Institute by Subject "Recommender system"
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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 ...