document: A flexible generative model for preference aggregation Many areas of study , such as information retrieval , collaborative filtering , and social choice face the preference aggregation problem , in which multiple preferences over objects must be combined into a consensus ranking . Preferences over items can be expressed in a variety of forms , which makes the aggregation problem difficult . In this work we formulate a flexible probabilistic model over pairwise comparisons that can accommodate all these forms . Inference in the model is very fast , making it applicable to problems with hundreds of thousands of preferences . Experiments on benchmark datasets demonstrate superior performance to existing methods
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