Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons

International Conference on Machine Learning, 2015.

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Abstract:

In this paper we consider the collaborative ranking setting: a pool of users each provides a small number of pairwise preferences between d possible items; from these we need to predict each users preferences for items they have not yet seen. We do so by fitting a rank r score matrix to the pairwise data, and provide two main contribution...More

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