Streaming session-based recommendation (SSR) is a challenging task that requires the
recommender system to do the session-based recommendation (SR) in the streaming …

Session-based Recommendation (SR) is the task of recommending the next item based on
previously recorded user interactions. In this work, we study SR in a practical streaming …

Session-based recommendation (SBR), which mainly relies on a user's limited interactions
with items to generate recommendations, is a widely investigated task. Existing methods …

Different from the traditional recommender system, the session-based recommender system
introduces the concept of the session, ie, a sequence of interactions between a user and …

Session-based recommendation tries to make use of anonymous session data to deliver
high-quality recommendations under the condition that user profiles and the complete …

Predicting a user's preference in a short anonymous interaction session instead of long-term
history is a challenging problem in the real-life session-based recommendation, eg, e …

Session-based recommendation (SBR) is widely used in e-commerce to predict the
anonymous user's next click action according to a short sequence. Many previous studies …

Session-based recommendation nowadays plays a vital role in many websites, which aims
to predict users' actions based on anonymous sessions. There have emerged many studies …

Session-based recommendation (SBR) has drawn increasingly research attention in recent
years, due to its great practical value by only exploiting the limited user behavior history in …

Predicting the next interaction of a short-term interaction session is a challenging task in
session-based recommendation. Almost all existing works rely on item transition patterns …