Ant Clustering to Improve Situation-Aware Recommender Systems

Djallel Bouneffouf (1, 2, 3)

1 TSP - INF - Département Informatique
2 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
3 CNRS - Centre National de la Recherche Scientifique

We improve in this paper an algorithm that tackles the user's content dynamicity by modeling the CRS as a contextual bandit algorithm. We have including a situation clustering algorithm to improve the precision of the CRS. The algorithm combines kmean and the ant clustering approaches. The experimental results reveal the performance of our proposed algorithm.

Mots clés: Ant Clustering; Situation-Aware; Recommender Systems

Domaines: Intelligence artificielle [cs.AI]

Djallel Bouneffouf. Ant Clustering to Improve Situation-Aware Recommender Systems. 2014. ⟨hal-01056896⟩