48 search results - page 8 / 10 » Fingerprinting Ratings for Collaborative Filtering - Theoret... |
KAIS
2011
13 years 2 months ago
2011
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
CHI
2003
ACM
14 years 26 days ago
2003
ACM
This study assessed the value of two video configurations—a head-mounted camera with eye tracking capability and a scene camera providing a view of the work environment—on rem...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
ICWSM
2009
13 years 5 months ago
2009
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
JMLR
2010
13 years 2 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...