531 search results - page 5 / 107 » Methods for boosting recommender systems |
156
Voted
NIPS
2003
15 years 5 months ago
2003
In order to understand AdaBoost’s dynamics, especially its ability to maximize margins, we derive an associated simplified nonlinear iterated map and analyze its behavior in lo...
117
click to vote
ICDE
2007
IEEE
15 years 10 months ago
2007
IEEE
Recommendation systems generally produce the results of their output to their users in the form of an ordinal list. In the interest of simplicity, these lists are often obscure, ,...
132
Voted
WEBDB
2010
Springer
15 years 8 months ago
2010
Springer
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
135
Voted
IADIS
2003
15 years 5 months ago
2003
Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that al...
132
click to vote
AVI
2004
15 years 5 months ago
2004
We present a group recommender system for vacations that helps group members who are not able to communicate synchronously to specify their preferences collaboratively and to arri...