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KDD
2006
ACM
172views Data Mining» more  KDD 2006»
14 years 7 months ago
Attack detection in time series for recommender systems
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...
CIKM
2009
Springer
13 years 5 months ago
A tag recommendation system for folksonomy
Social bookmarking tools become more and more popular nowadays and tagging is used to organize information and allow users to recall or search the resources. Users need to type th...
Ning Zhang, Yuan Zhang, Jie Tang
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 7 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
IEEEARES
2008
IEEE
14 years 1 months ago
Experimental Demonstration of a Hybrid Privacy-Preserving Recommender System
Recommender systems enable merchants to assist customers in finding products that best satisfy their needs. Unfortunately, current recommender systems suffer from various privacy...
Esma Aïmeur, Gilles Brassard, José Man...
UM
2007
Springer
14 years 1 months ago
Feature-Weighted User Model 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 re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...