Intel Corporation

Gopi Krishna Jha

Nilesh K Jain

Anthony Thomas

A recommendation system includes a recommendation model for generating a recommendation score for a user with respect to an item. The model is configured to receive a set of dense features, describing numerical information, and a set of sparse features, representing a subset of items from a relatively large group of items. To represent the subset of items in the sparse features, each item (or a symbol thereof) is processed by an encoder to represent each item with a plurality of positions in a sparse binary representation of the subset of items. The sparse binary representation is then processed by a model that determines a vector representation of the sparse category features used in the prediction in conjunction with the dense features.

Growing community of inventors

Bengaluru, India

Gopi Krishna Jha