Session Based Recommendations

Session-Based Recommendations is a recommendation system task that focuses on predicting the next item or content a user might be interested in by analyzing the sequence of interactions within a single session. This task falls under the broader category of Recommendation based on a sequence of events, emphasizing the capture and utilization of short-term behavioral patterns to enhance user experience and conversion rates. The primary goal is to provide personalized recommendations during the user's session, thereby increasing user satisfaction and platform stickiness. It has significant application value in e-commerce, online media, social networks, and other domains.