The goal of unbiased learning to rank (ULTR) is to leverage implicit use...
Improving user retention with reinforcement learning (RL) has attracted
...
The page presentation biases in the information retrieval system, especi...
Extracting query-document relevance from the sparse, biased clickthrough...
Unbiased Learning to Rank (ULTR) that learns to rank documents with bias...
The unbiased learning to rank (ULTR) problem has been greatly advanced b...
Beyond topical relevance, passage ranking for open-domain factoid questi...
Post-click conversion, as a strong signal indicating the user preference...
As the heart of a search engine, the ranking system plays a crucial role...
Sequential decision-making under cost-sensitive tasks is prohibitively
d...
Off-policy evaluation is a key component of reinforcement learning which...
Distant supervision provides a means to create a large number of weakly
...
In this paper, we study collaborative filtering in an interactive settin...
Spatio-temporal relations among facial action units (AUs) convey signifi...
Recommender systems play a crucial role in our daily lives. Feed streami...