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 …

The goal of session-based recommendation (SBR) is to predict the next item at a certain
point in time for anonymous users. Previous methods usually learn session representations …

Session-based recommendation (SBR) is a challenging task, which aims at recommending
items based on anonymous behavior sequences. Almost all the existing solutions for SBR …

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 …

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) aims to predict the user's next action based on short
and dynamic sessions. Recently, there has been an increasing interest in utilizing various …

Session-based recommendation is a challenging task. Without access to a user's historical
user-item interactions, the information available in an ongoing session may be very limited …

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 …

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-aware recommendation aims to predict users' next click based on
their current session and historical sessions. Existing session-aware recommendation …