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Collaborative Rating Allocation
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
This paper studies the collaborative rating allocation problem, in which each user has limited ratings on all items. These users are termed "energy limited". Different from existing methods which treat each rating independently, we investigate the geometric properties of a user's rating vector, and design a matrix completion method on the simplex. In this method, a user's rating vector is estimated by the combination of user profiles as basis points on the simplex. Instead of using Euclideandoi:10.24963/ijcai.2017/224 dblp:conf/ijcai/DuXT17a fatcat:z2wkk4kvszho3bmcq652imx6ry