This paper proposes Text mAtching based SequenTial rEcommendation model
...
This paper presents Structure Aware Dense Retrieval (SANTA) model, which...
Multinational enterprises conduct global business that has a demand for
...
Real-world graphs are constantly evolving, which demands updates of the
...
Knowledge tracing aims to track students' knowledge status over time to
...
This paper presents Vision-Language Universal Search (VL-UnivSearch), wh...
Learning rate is one of the most important hyper-parameters that has a
s...
Compared to other language tasks, applying pre-trained language models (...
Skyline computation is an essential database operation that has many
app...
Local differential privacy (LDP) is a recently proposed privacy standard...
Nowadays, query optimization has been highly concerned in big data
manag...
Stream clustering is a fundamental problem in many streaming data analys...
Sparse coding, which represents a data point as a sparse reconstruction ...