Consistent Collaborative Filtering via Tensor Decomposition. (arXiv:2201.11936v1 [cs.IR])

Web: http://arxiv.org/abs/2201.11936

Collaborative filtering is the de facto standard for analyzing users'
activities and building recommendation systems for items. In this work we
develop Sliced Anti-symmetric Decomposition (SAD), a new model for
collaborative filtering based on implicit feedback. In contrast to traditional
techniques where a latent representation of users (user vectors) and items
(item vectors) are estimated, SAD introduces one additional latent vector to
each item, using a novel three-way tensor view of user-item interactions. This
new vector extends user-item preferences calculated …

arxiv collaborative collaborative filtering