Many hashing algorithms including minwise hashing (MinHash), one permuta...
Feature interactions can play a crucial role in recommendation systems a...
Sparse data are common. The traditional “handcrafted” features are often...
To retrieve personalized campaigns and creatives while protecting user
p...
Fast item ranking is an important task in recommender systems. In previo...
Search engines and recommendation systems are built to efficiently displ...
This report presents the open-source package which implements the series...
In this work, we demonstrate the advantage of the pGMM (“powered general...
Approximate Nearest Neighbor (ANN) search is a fundamental technique for...
Tree models are very widely used in practice of machine learning and dat...
The work in ICML'09 showed that the derivatives of the classical multi-c...
We develop the "generalized consistent weighted sampling" (GCWS) for has...
Click-Through Rate (CTR) prediction is a crucial component in the online...
In order to generate images for a given category, existing deep generati...
Neural networks of ads systems usually take input from multiple resource...
Aesthetic image cropping is a practical but challenging task which aims ...
Recently, significant progress has been achieved in deep image matting. ...
As applications continue to generate multi-dimensional data at exponenti...