A Rapid Scalable Embedding and Mapping Model for Recommendation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3000894
Abstract: The recommendation systems based on deep neural networks show high accuracy and precision in advertising prediction and rating prediction tasks, but the performance declines when they encounter sparsity problems. Furthermore, the low scalability framework makes… read more here.
Keywords: mapping model; scalable embedding; model recommendation; recommendation ... See more keywords
SEMS: Scalable Embedding Memory System for Accelerating Embedding-Based DNNs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Computer Architecture Letters"
DOI: 10.1109/lca.2022.3227560
Abstract: Embedding layers, which are widely used in various deep learning (DL) applications, are very large in size and are increasing. We propose scalable embedding memory system (SEMS) to deal with the inference of DL applications… read more here.
Keywords: system; mml mml; mml; embedding memory ... See more keywords