The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …

Pathway analysis has been widely used to detect pathways and functions associated with
complex disease phenotypes. The proliferation of this approach is due to better …

Graph mining algorithms have been playing a significant role in myriad fields over the years.
However, despite their promising performance on various graph analytical tasks, most of …

Recent years have witnessed the pivotal role of Graph Neural Networks (GNNs) in various
high-stake decision-making scenarios due to their superior learning capability. Close on the …

When a user has watched, say, 70 romance movies and 30 action movies, then it is
reasonable to expect the personalized list of recommended movies to be comprised of about …

With the rapid growth of web search in recent years the problem of modeling its users has
started to attract more and more attention of the information retrieval community. This has …

We introduce the concept of expected exposure as the average attention ranked items
receive from users over repeated samples of the same query. Furthermore, we advocate for …

Ranking has been extensively studied in information retrieval, machine learning and
statistics. A central problem in ranking is to design a ranking measure for evaluation of …

Learning to rank with biased click data is a well-known challenge. A variety of methods has
been explored to debias click data for learning to rank such as click models, result …

The Recommender Systems community is paying increasing attention to novelty and
diversity as key qualities beyond accuracy in real recommendation scenarios. Despite the …