Context Tree for Adaptive Session-based Recommendation

Understand

There has been growing interests in recent years from both practical and research perspectives for session-based recommendation tasks as long-term user profiles do not often exist in many real-life recommendation applications.

• In this case, recommendations for user's immediate next actions need to be generated based on patterns in anonymous short sessions.
• An often overlooked aspect is that new items with limited observations arrive continuously in many domains (e.g.
• news and discussion forums).