User post-click conversion prediction is of high interest to researchers...
In this manuscript (ms), we propose causal inference based single-branch...
Modeling human mobility helps to understand how people are accessing
res...
Binary pointwise labels (aka implicit feedback) are heavily leveraged by...
Locality sensitive hashing pictures a list-wise sorting problem. Its tes...
Recent advances in self-supervised learning with instance-level contrast...
Combining graph representation learning with multi-view data (side
infor...
Graph Convolutional Networks (GCNs) have gained significant developments...
Network assisted full-duplex (NAFD) is a spatial-division duplex techniq...
Click-Through Rate (CTR) prediction plays an important role in many
indu...
This paper considers recommendation algorithm ensembles in a user-sensit...
This paper is concerned with how to make efficient use of social informa...
The Distributed Cooperative Modeling System (DCMS) solves complex decisi...
We study the Dictionary Learning (aka Sparse Coding) problem of obtainin...