Now showing items 11-12 of 12
SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge
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 ...
A decade of Semantic Web research through the lenses of a mixed methods approach
(IOS Press, 2019-06-20)
The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily ...