Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Mounia Lalmas"'
Autor:
Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin Carterette, Mounia Lalmas, Tony Jebara
Publikováno v:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 7:351-360
Users increasingly inform themselves of the latest news through online news services. This is further accentuated by the increasingly seamless integration of social network platforms such as Twitter and Facebook into news websites, allowing easy cont
Autor:
Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catherine M. Edwards, Benjamin Carterette, Mounia Lalmas
Publikováno v:
Proceedings of the ACM Web Conference 2022.
Autor:
Praveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis-Ojeda, Tiffany Wu, Ben Carterette, Mounia Lalmas, Tony Jebara
Publikováno v:
Proceedings of the ACM Web Conference 2022.
Music streaming platforms rely heavily on learning meaningful representations of tracks to surface apt recommendations to users in a number of different use cases. In this work, we consider the task of learning music track representations by leveragi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c57d0bfdf68695170c3d6a7f6300b326
Autor:
Alice Wang, Yu Zhao, Benjamin Carterette, Mounia Lalmas, Hugues Bouchard, Aasish Pappu, Maryam Aziz
Publikováno v:
CIKM
Podcasts are a popular medium for rapid dissemination of information, entertainment, and casual conversations. Content aggregators are taking an increased interest in recommending podcasts to listeners to help them build larger audiences. With many p
Publikováno v:
KDD
Over recent years, podcasts have emerged as a novel medium for sharing and broadcasting information over the Internet. Audio streaming platforms originally designed for music content, such as Amazon Music, Pandora, and Spotify, have reported a rapid
Autor:
Mounia Lalmas, Casper Worm Hansen, Brian Brost, Lucas Maystre, Christian Hansen, Rishabh Mehrotra
Publikováno v:
WSDM
Algorithmic recommendations shape music consumption at scale, and understanding the impact of various algorithmic models on how content is consumed is a central question for music streaming platforms. The ability to shift consumption towards less pop
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030865191
ECML/PKDD (2)
ECML/PKDD (2)
Variational autoencoders are a versatile class of deep latent variable models. They learn expressive latent representations of high dimensional data. However, the latent variance is not a reliable estimate of how uncertain the model is about a given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::620dea6f6779a4906f500700afb0ad59
https://doi.org/10.1007/978-3-030-86520-7_6
https://doi.org/10.1007/978-3-030-86520-7_6
Autor:
Mounia Lalmas, Hugo Galvão, Rishabh Mehrotra, Federico Tomasi, Brian Brost, Aasish Pappu, Judith Bütepage
Publikováno v:
CIKM
Platform ecosystems have witnessed an explosive growth by facilitating interactions between consumers and suppliers. Search systems powering such platforms play an important role in surfacing content in front of users. To maintain a healthy, sustaina