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pro vyhledávání: '"Sguerra, Bruno"'
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
While the topic of listening context is widely studied in the literature of music recommender systems, the integration of regular user behavior is often omitted. In this paper, we propose PACE (PAttern-based user Consumption Embedding), a framework f
Externí odkaz:
http://arxiv.org/abs/2405.01417
Publikováno v:
In Seventeenth ACM Conference on Recommender Systems (RecSys 2023)
The traditional recommendation framework seeks to connect user and content, by finding the best match possible based on users past interaction. However, a good content recommendation is not necessarily similar to what the user has chosen in the past.
Externí odkaz:
http://arxiv.org/abs/2311.10635
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
Publikováno v:
In Sixteenth ACM Conference on Recommender Systems (RecSys 2022)
Repetition in music consumption is a common phenomenon. It is notably more frequent when compared to the consumption of other media, such as books and movies. In this paper, we show that one particularly interesting repetitive behavior arises when us
Externí odkaz:
http://arxiv.org/abs/2210.16226
Autor:
Sguerra, Bruno, Jouvelot, Pierre
Communication pour la conférence UMAP 19, Larnaca, Juin 2019; We introduce An Unscented Hound for Working Memory (AUHWM), a new framework for the real-time tracking of human Working Memory (WM) that can be used to adapt computer interfaces to users'
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b269d4e1cb2725ae304a63f0c6a735be
https://hal-mines-paristech.archives-ouvertes.fr/hal-02011002
https://hal-mines-paristech.archives-ouvertes.fr/hal-02011002