Assessing Objective Recommendation Quality through Political Forecasting

EMNLP 2017 H. Andrew SchwartzMasoud RouhizadehMichael BishopPhilip TetlockBarbara MellersLyle Ungar

Recommendations are often rated for their subjective quality, but few researchers have studied comment quality in terms of objective utility. We explore recommendation quality assessment with respect to both subjective (i.e. users{'} ratings) and objective (i.e., did it influence?.. (read more)

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