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SIGIR
2012
ACM
11 years 10 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
WWW
2008
ACM
14 years 8 months ago
Improving personalized services in mobile commerce by a novel multicriteria rating approach
With the rapid growth of wireless technologies and mobile devices, there is a great demand for personalized services in mcommerce. Collaborative filtering (CF) is one of successfu...
Qiudan Li, Chunheng Wang, Guanggang Geng
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 8 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 2 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
ECSCW
2001
13 years 9 months ago
PolyLens: A recommender system for groups of user
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...