Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Raz Nissim"'
Publikováno v:
RecSys
The item cold-start problem is inherent to collaborative filtering (CF) recommenders where items and users are represented by vectors in a latent space. It emerges since CF recommenders rely solely on historical user interactions to characterize thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eee59e04895e11874c0b93fa0f81d454
https://doi.org/10.1145/3109859.3109880
https://doi.org/10.1145/3109859.3109880
Autor:
Raz Nissim, Ronen I. Brafman
Publikováno v:
Journal of Artificial Intelligence Research. 51:293-332
This paper deals with the problem of classical planning for multiple cooperative agents who have private information about their local state and capabilities they do not want to reveal. Two main approaches have recently been proposed to solve this ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::173f98b52260520b9a51e30a3dd0cc44
https://doi.org/10.1613/jair.4295
https://doi.org/10.1613/jair.4295
Publikováno v:
Journal of the ACM. 61:1-63
Many areas of computer science require answering questions about reachability in compactly described discrete transition systems. Answering such questions effectively requires techniques to be able to do so without building the entire system. In part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71ed50b5c1a161a6e9333e305eb8ea98
https://doi.org/10.1145/2559951
https://doi.org/10.1145/2559951
Publikováno v:
WWW (Companion Volume)
Modern ad serving systems can benefit when allowed to accumulate user information and use it as part of the serving algorithm. However, this often does not coincide with how the web is used. Many domains will see users for only brief interactions, as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2458387815ce7a7dc588e50e2e29b94a
https://doi.org/10.1145/2740908.2741997
https://doi.org/10.1145/2740908.2741997
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319234601
ECML/PKDD (3)
ECML/PKDD (3)
As consumers of television are presented with a plethora of available programming, improving recommender systems in this domain is becoming increasingly important. Television sets, though, are often shared by multiple users whose tastes may greatly v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef4c79def4c7edbd11299271591f3471
https://doi.org/10.1007/978-3-319-23461-8_12
https://doi.org/10.1007/978-3-319-23461-8_12
