Recommendation system and method for estimating the elements of a multi-dimensional tensor on geometric domains from partial observations

Abstract

Systems and method for producing a recommendation of a plurality of items to a plurality of users are provided. A method for producing a recommendation of a plurality of items to a plurality of users can include: obtaining a subset of multi-dimensional tensor elements representing scores given to a subset of items by a subset of users; obtaining a plurality of geometric domains corresponding to a subset of the dimensions of said multi-dimensional tensor; computing multi-dimensional tensor features by applying at least a multi-domain intrinsic convolutional layer on the multi-dimensional tensor elements; computing a full set of multi-dimensional tensor elements from the multi-dimensional tensor features; and using said full set of multi-dimensional tensor elements to determine recommendation of said plurality of items to said plurality of users.

Dependencies are inferred from the claim text.