Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems
Panagiotis Adamopoulos, Alexander Tuzhilin · 2014
We propose a method for estimating the expected economic value of multi-dimensional data sets in recommender sys-tems and illustrate the proposed approach using a unique data set combining implicit and explicit ratings with rich content as well as spatio-temporal contextual dimensions and social network data.