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» Learning to Rank for Collaborative Filtering
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RECSYS
2010
ACM
13 years 2 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic
ICEIS
2007
IEEE
13 years 10 months ago
Learning to Rank for Collaborative Filtering
Jean-François Pessiot, Tuong-Vinh Truong, N...
ICML
2003
IEEE
14 years 5 months ago
Online Ranking/Collaborative Filtering Using the Perceptron Algorithm
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...
Edward F. Harrington
JUCS
2010
217views more  JUCS 2010»
13 years 2 months ago
The 3A Personalized, Contextual and Relation-based Recommender System
Abstract: This paper discusses the 3A recommender system that targets CSCL (computersupported collaborative learning) and CSCW (computer-supported collaborative work) environments....
Sandy El Helou, Christophe Salzmann, Denis Gillet
SIGIR
2004
ACM
13 years 9 months ago
A joint framework for collaborative and content filtering
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...
Justin Basilico, Thomas Hofmann