Empirical Analysis of Session-Based Recommendation Algorithms

Ludewig Malte
Ludewig Malte
Mauro Noemi
Mauro Noemi
Latifi Sara
Latifi Sara

User Modeling and User-adapted Interaction, pp. 1-33, 2019.

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Abstract:

Recommender systems are tools that support online users by pointing them to potential items of interest in situations of information overload. In recent years, the class of session-based recommendation algorithms received more attention in the research literature. These algorithms base their recommendations solely on the observed interact...More

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