Invited talk at Amadeus, Amadeus Journal Club, 9 February 2026, Villeneuve-Loubet, France
How can data and language support and extend collaborative-based recommender systems? The talk includes a short introduction to recommender systems, with a focus on music recommendation. Then showcases works for exploiting metadata, location and textual data in recommendation, to improve diversity, serendipity and solve cold-start scenarios.
Type:
Talk
City:
Villeneuve-Loubet
Date:
2026-02-09
Department:
Data Science
Eurecom Ref:
8609
Copyright:
© EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in Invited talk at Amadeus, Amadeus Journal Club, 9 February 2026, Villeneuve-Loubet, France and is available at :
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