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Modeling and Learning Context-Aware Recommendation Scenarios Using Tensor Decomposition
Found in: Social Network Analysis and Mining, International Conference on Advances in
By Hendrik Wermser, Achim Rettinger, Volker Tresp
Issue Date:July 2011
pp. 137-144
The task of recommending items, like movies, to users is a core feature of many social networks. Standard approaches either use item or user similarity to suggest the next items users might be interested in. Recently, multivariate models like matrix factor...
 
Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics
Found in: IEEE Intelligent Systems
By Davide Barbieri,Daniele Braga,Stefano Ceri,Emanuele Della Valle,Yi Huang,Volker Tresp,Achim Rettinger,Hendrik Wermser
Issue Date:November 2010
pp. 32-41
A combined approach of deductive and inductive reasoning can leverage the clear separation between the evolving (streaming) and static parts of online knowledge at conceptual and technological levels.
 
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