Learning Mixed Membership Mallows Models from Pairwise Comparisons

CoRR, 2015.

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Abstract:

We propose a novel parameterized family of Mixed Membership Mallows Models (M4) to account for variability in pairwise comparisons generated by a heterogeneous population of noisy and inconsistent users. M4 models individual preferences as a user-specific probabilistic mixture of shared latent Mallows components. Our key algorithmic ins...More

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