Sequential recommendation (SR) investigates the dynamic user preferences...
Item-to-Item (I2I) recommendation is an important function in most
recom...
Existing recommender systems face difficulties with zero-shot items, i.e...
Graph collaborative filtering (GCF) is a popular technique for capturing...
Self-supervised sequential recommendation significantly improves
recomme...
Recommender systems (RS) commonly retrieve potential candidate items for...
Sequential recommendation models the dynamics of a user's previous behav...
Recommender systems have become prosperous nowadays, designed to predict...
Artificial intelligence (AI) provides a promising substitution for
strea...
In the information explosion era, recommender systems (RSs) are widely
s...
In order to model the evolution of user preference, we should learn user...
The sequential patterns within the user interactions are pivotal for
rep...
Sequential Recommendation characterizes the evolving patterns by modelin...
The problem of basket recommendation (BR) is to recommend a ranking list...
Due to the rapid growth of information available about individual patien...