In recent years, recommender systems have advanced rapidly, where embedding learning for users and items plays a critical role. A standard method learns a unique embedding vector for each user and item. However, such a method has two important limitations ...

In recent years, recommender systems have advanced rapidly, where embedding learning for users and items plays a critical role. A standard method learns a unique embedding vector for each user and item. However, such a method has two important ...

To predict application performance on an HPC system is an important technology for designing the computing system and developing applications. However, accurate prediction is a challenge, particularly, in the case of a future coming system with higher ...

The Task Sequencing Language (TSL), which lets programmers specify constraints on the behavior of concurrent programs, is described. The constraints, specified by high-level annotations to Ada programs, are monitored at runtime; when a violation is ...