The task of Session-based Social Recommendation (SSR) aims to utilize the social
networks to make recommendations in session-based scenarios. Existing SSR methods …

Sequential recommendation (SR) learns users' preferences by capturing the sequential
patterns from users' behaviors evolution. As discussed in many works, user–item …

Session-based recommendation is a crucial task aiming to predict users' interested items
based only on anonymous user behaviors. Most recent solutions for session-based …

Graph collaborative filtering approaches learn refined users' and items' node
representations by iteratively aggregating the informative content (called messages) coming …

In recent years, session-based recommender systems (SBRSs) have emerged as a new
paradigm of recommender systems to help users in their different decision-making …

Session-based recommendation is an important part of many e-commerce websites. Its
purpose is to make recommendations based on the interaction behavior of anonymous …

Session-based recommendations (SBR) have attracted much attention because of their high
commercial value. SBR aims to predict a user's next click based on the sequence of …

The task of the session-based recommendation is to predict the next interaction of the user
based on the anonymized user's behavior pattern. And personalized version of this system …

Over the past few years, session-based recommender systems (SBRSs) have garnered
growing attention from both researchers and industry professionals. Diverging from …