Category information plays a crucial role in enhancing the quality and
p...
Large pretrained language models (PLM) have become de facto news encoder...
Log data is pivotal in activities like anomaly detection and failure
dia...
Click-Through Rate (CTR) prediction, crucial in applications like recomm...
In the field of music information retrieval (MIR), cover song identifica...
This paper studies a new problem, active learning with partial labels
(A...
Industrial recommender systems face the challenge of operating in
non-st...
Click-through rate (CTR) prediction is one of the fundamental tasks for
...
User-curated item lists, such as video-based playlists on Youtube and
bo...
Micro-video recommender systems suffer from the ubiquitous noises in use...
The goal of recommender systems is to provide ordered item lists to user...
Pseudo relevance feedback (PRF) automatically performs query expansion b...
The two-tower architecture has been widely applied for learning item and...
With the recent success of graph convolutional networks (GCNs), they hav...
There is a soaring interest in the news recommendation research scenario...
Collaborative filtering (CF) is a widely studied research topic in
recom...
Personalized recommendation system has become pervasive in various video...
Recently, deep learning-based models have been widely studied for
click-...
In many applications, such as recommender systems, online advertising, a...
Tagging has been recognized as a successful practice to boost relevance
...
Video moment retrieval aims to localize the target moment in an video
ac...
Logs have been widely adopted in software system development and mainten...
System logs record detailed runtime information of software systems and ...
Logs are imperative in the development and maintenance process of many
s...
Logs are widely used in modern software system management because they a...