Zobrazeno 1 - 10
of 2 959
pro vyhledávání: '"A. Salha"'
Music streaming services often leverage sequential recommender systems to predict the best music to showcase to users based on past sequences of listening sessions. Nonetheless, most sequential recommendation methods ignore or insufficiently account
Externí odkaz:
http://arxiv.org/abs/2408.16578
Autor:
Matrosova, Kristina, Marey, Lilian, Salha-Galvan, Guillaume, Louail, Thomas, Bodini, Olivier, Moussallam, Manuel
This paper examines the influence of recommender systems on local music representation, discussing prior findings from an empirical study on the LFM-2b public dataset. This prior study argued that different recommender systems exhibit algorithmic bia
Externí odkaz:
http://arxiv.org/abs/2408.16430
Autor:
Ayach, Yahya, Khairallah, Anthony, Manoukian, Tia, Mchaimech, Jad, Salha, Adam, Taati, Siamak
We use an information-theoretic argument due to O'Connell (2000) to prove that every sufficiently symmetric event concerning a countably infinite family of independent and identically distributed random variables is deterministic (i.e., has a probabi
Externí odkaz:
http://arxiv.org/abs/2406.14902
Autor:
Briand, Léa, Bontempelli, Théo, Bendada, Walid, Morlon, Mathieu, Rigaud, François, Chapus, Benjamin, Bouabça, Thomas, Salha-Galvan, Guillaume
This paper presents our recent initiatives to foster the discoverability of new releases on the music streaming service Deezer. After introducing our search and recommendation features dedicated to new releases, we outline our shift from editorial to
Externí odkaz:
http://arxiv.org/abs/2401.02827
We only consider finite structures. With every totally ordered set $V$ and a subset $P$ of $\binom{V}{2}$, we associate the underlying tournament ${\rm Inv}(\underline{V}, P)$ obtained from the transitive tournament $\underline{V}:=(V, \{(x,y) \in V
Externí odkaz:
http://arxiv.org/abs/2312.04039
Autor:
Bendada, Walid, Salha-Galvan, Guillaume, Hennequin, Romain, Bouabça, Thomas, Cazenave, Tristan
A prevalent practice in recommender systems consists in averaging item embeddings to represent users or higher-level concepts in the same embedding space. This paper investigates the relevance of such a practice. For this purpose, we propose an expec
Externí odkaz:
http://arxiv.org/abs/2308.12767
Autor:
Bendada, Walid, Bontempelli, Théo, Morlon, Mathieu, Chapus, Benjamin, Cador, Thibault, Bouabça, Thomas, Salha-Galvan, Guillaume
This paper introduces Track Mix, a personalized playlist generation system released in 2022 on the music streaming service Deezer. Track Mix automatically generates "mix" playlists inspired by initial music tracks, allowing users to discover music si
Externí odkaz:
http://arxiv.org/abs/2307.03045
Transformers emerged as powerful methods for sequential recommendation. However, existing architectures often overlook the complex dependencies between user preferences and the temporal context. In this short paper, we introduce MOJITO, an improved T
Externí odkaz:
http://arxiv.org/abs/2304.08158
Music streaming services often aim to recommend songs for users to extend the playlists they have created on these services. However, extending playlists while preserving their musical characteristics and matching user preferences remains a challengi
Externí odkaz:
http://arxiv.org/abs/2304.09061
Autor:
Seck, Cheikh Tidiane, Mamane, Salha
In this paper, we investigate the almost sure convergence, in supremum norm, of the rank-based linear wavelet estimator for a multivariate copula density. Based on empirical process tools, we prove a uniform limit law for the deviation, from its expe
Externí odkaz:
http://arxiv.org/abs/2303.05627