131 search results - page 16 / 27 » Pairwise Preference Learning and Ranking |
WEBI
2010
Springer
13 years 8 months ago
2010
Springer
Abstract--Search engines have greatly influenced the way people access information on the Internet as such engines provide the preferred entry point to billions of pages on the Web...
WWW
2011
ACM
13 years 5 months ago
2011
ACM
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
SIGIR
2004
ACM
14 years 4 months ago
2004
ACM
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
NIPS
2007
14 years 10 days ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...