This conference paper (WIMS 2011) titled "Optimal Recommender Systems Blending" by Fabio Roda, Alberto Costa, and Leo Liberti proposes framing ensemble blending of recommender predictors as an optimization problem using Operations Research methods. It formalizes blending operators, design variables (weights), constraints, and an RMSE-based error function; presents personalized (per-user) and global blending formulations (weighted averages with sum-of-weights constraints); and outlines planned computational tests (datasets, predictors, solvers) and future reformulation work.

Questions this document answers

WIMS ’11, May 25-27, 2011, Sogndal, Norway.

Root Mean Squared Error (RMSE).

Couenne and BARON.

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