Estimating position bias is a well-known challenge in Learning to rank (...
In this paper, we study item advertisements for small businesses. This
a...
In one-class recommendation systems, the goal is to learn a model from a...
Recently online advertisers utilize Recommender systems (RSs) for displa...
Hashing-based Recommender Systems (RSs) are widely studied to provide
sc...
Neural network-based collaborative filtering systems focus on designing
...
Cross-modal retrieval aims to search for data with similar semantic mean...
We introduce an approach to recommending short-lived dynamic packages fo...
Autoencoder-based hybrid recommender systems have become popular recentl...