812 search results - page 54 / 163 » Preference-based learning to rank |
68
Voted
RECSYS
2009
ACM
15 years 4 months ago
2009
ACM
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ï¬...
CIKM
2008
Springer
15 years 4 days ago
2008
Springer
This paper experimentally studies approaches to the problem of ranking information resources w.r.t. user queries in peer-to-peer information retrieval. In distributed environments...
ICMCS
2006
IEEE
15 years 4 months ago
2006
IEEE
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
ICML
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...
88
Voted
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
It is now widely recognized that user interactions with search results can provide substantial relevance information on the documents displayed in the search results. In this pape...