Session-aware Recommendation: A Surprising Quest for the State-of-the-art

Sara Latifi
Sara Latifi
Noemi Mauro
Noemi Mauro
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Abstract:

Recommender systems are designed to help users in situations of information overload. In recent years, we observed increased interest in session-based recommendation scenarios, where the problem is to make item suggestions to users based only on interactions observed in an ongoing session. However, in cases where interactions from previ...More

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