The aim of session-based recommendation is to predict the next-clicked item based on the
anonymous behavior sequence. The existing works on session-based recommendation …

Session-based recommendation aims to predict user behaviors based on short-term
anonymous sessions. Given the singleness of the training data of the existing session …

Session-based recommendation is a popular research topic that aims to predict users' next
possible interactive item by exploiting anonymous sessions. The existing studies mainly …

The Session-Based Recommendation System aims to predict the user's next click based on
their previous session sequence. The current studies generally learn user preferences …

Recent advancements in Graph Neural Networks (GNN) have achieved promising results for
the session-based recommendation, which aims to predict a user's actions based on …

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 …

The problem of session-based recommendation aims to predict user actions based on
anonymous sessions. Previous methods model a session as a sequence and estimate user …

Session-based recommendation, which aims to predict subsequent user actions based on
anonymous sessions, plays a significant role in many online services. Existing methods …

Session-based recommendation, which aims to match user needs with rich resources based
on anonymous sessions, nowadays plays a critical role in various online platforms (eg …

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 …